Vol. 21 (2024)

Open Access

Article

Finite element analysis of the biomechanical effects of anterior and posterior cervical fusion surgery for bilateral cervical dislocation

Dan Li, Ke Wang, Chao Dong, Bo Zhou, Lin Gu, Haoran Yang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 133 , 2024, DOI: 10.62617/mcb.v21.133

Abstract：

Lower cervical spine injuries often manifest as lower cervical vertebral fractures and dislocations, as well as lower cervical facet joint dislocations. Especially in cases of bilateral facet joint dislocations, it is important to rapidly and effectively relieve spinal cord and nerve root compression to prevent secondary spinal cord injury, while also providing reliable and long-lasting stability to the injured segment after surgery. Combined anterior and posterior approaches have the advantages of both pure anterior or posterior approaches, but the actual situation is complex and variable, making systematic theoretical analysis crucial. This study, with bilateral facet joint dislocation of the C6 segment and cervical spinal cord injury as the research background, established a three-dimensional model of the cervical spine C3-C7 after implementing four types of anterior-posterior combined surgeries. The four surgical approaches consist of four combinations: anterior parallel or inclined screw placement combined with posterior Margel or Anderson method screw insertion. Through finite element method, a systematic comparative analysis of the theoretical effects of the four combined surgeries in treating bilateral facet joint dislocation of the cervical spine was conducted. The conclusion was that the variations in the four combined fixation methods have a certain impact on the biomechanical characteristics of the intervertebral disc nucleus. There is a clear mutual influence relationship among anterior and posterior fixation instruments. Based on the model used in this study, it is recommended to use a torque greater than 2.1 nm to tighten the locking nut of the posterior rod to ensure reliable internal fixation.

Open Access

Article

WGCNA-based identification of anoikis-related subtypes, prognostic significance, and characterisation of the immune microenvironment in Philadelphia-negative acute lymphoblastic leukaemia

Na Li, Yang Hong, Ling Zhang, Aining Sun

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 90 , 2024, DOI: 10.62617/mcb.v21.90

Abstract：

The clinical outcomes and incidence of Philadelphia chromosome-negative B cell acute lymphoblastic leukaemia (ph-neg B-ALL) vary significantly across different age groups, influencing the prognosis. Despite recent advancements in diagnostic and therapeutic techniques, the detailed prognosis for ph-negative B-ALL across age demographics remains to be elucidated. In this study, clinical data were obtained from 80 patients with ph-neg B-ALL who were diagnosed at our centre. Ribonucleic acid sequencing was performed using their initial bone marrow aspirate samples. By employing weighted gene co-expression network analysis (WGCNA) on 408 anoikis-related genes (ARGs), four different modules were identified and subsequently analysed through bioinformatics. The WGCNA revealed distinct co-expression modules among ARGs. Specifically, the ARGs in the turquoise module might assess the risk associated with newly diagnosed ph-neg B-ALL. Additionally, the study revealed significant heterogeneity in the immune microenvironment and genome variance, highlighting the notable heterogeneity within the disease. 408 ARGs were screened out and four different co-expression modules were constructed by WGCNA algorithms from the RNA-sequencing data of 80 ph-neg B-ALL patients; The ARGs in the turquoise module were the most, and it can be used to divide the de novo ph-neg B-ALL patients to different risk groups(high-risk and low-risk); The ph-neg B-ALL patients can be divided into PS-1 and PS-2, there is heterogeneity of genomes between PS-1 and PS-2; Immune infiltration difference exists in between PS-1 and PS-2. In conclusion, our study holds significant value in exploring the molecular pathways and mechanisms associated with anoikis implicated in ph-neg B-ALL, and in facilitating the development of treatments and prognostic tools for this disease

Open Access

Article

Induced fatigue impact on plantar pressure in females with mild hallux valgus

Shunxiang Gao, Dong Sun, Yang Song, Xuanzhen Cen, Hairong Chen, Yining Xu, Shirui Shao

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 135 , 2024, DOI: 10.62617/mcb.v21.135

Abstract：

Fatigue has been established to change plantar pressure distribution, yet its impact on hallux valgus (HV) patients, who exhibit morphological and biomechanical changes in the foot, remains insufficiently studied. Twenty-eight female participants, comprising 16 with mild HV and 12 healthy controls, were recruited. Plantar pressures were recorded pre- and post-fatigue using the Footscan platform during self-selected-speed walking trials, fatigue protocol was performed on a treadmill. Foot was segmented into 10 anatomical regions for calculating parameters including maximal force, peak pressure, impulse, contact duration, contact area, and force time-series, alongside assessing the distribution of medial and lateral contact forces (Foot balance) across the groups. During post-fatigue, patients with mild HV demonstrated adaptive changes in plantar pressure distinct from healthy controls, with significant reductions in maximal force, peak pressure, and impulse in the M1 and M2 regions and increases in the M3–M5 regions. In contrast, the control group exhibited an opposite pattern, concentrating pressure in the M1 and M2 regions post-fatigue. The force time-series analysis revealed significant disparities between HV patients and controls, particularly in the M4 and M5 regions, where HV patients showed a less pronounced and lower passive peak in forces. Results show that women with mild HV demonstrate adaptive changes in plantar pressure post-fatigue, distinctly different from healthy individuals, aiding in preventive strategies for fatigue-induced foot injuries for HV patients.

Open Access

Article

Diagnosis and correlation analysis of lung cancer based on multi-parameter regression of respiratory volatile organic compounds

Lishan Qin, Yunzhen Wang, Fei Wang, Ziyi Zhu, Raojun Luo, Guojun Lv, Haibin Cui

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 105 , 2024, DOI: 10.62617/mcb.v21.105

Abstract：

Lung cancer is a prevalent and life-threatening disease worldwide. The primary diagnostic approach for lung cancer is the utilization of low-dose spiral CT scans. However, repeated scans can expose patients to harmful radiation. Consequently, there is growing interest in exploring alternative methods such as the analysis of exhaled volatile organic compounds (VOCs) for lung cancer detection. In this study, we employed a gas chromatography-mass spectrometry analyzer to identify and quantify a total of 108 VOCs of lung cancer patients. Our objective is to investigate the correlation between VOCs in exhaled breath and lung cancer. Through the application of orthogonal partial least squares-discriminant analysis and correlation analysis, we identified several VOCs, including acetone, ethanol, isopropanol, and ethyl acetate, which exhibited a strong association with lung cancer. Unlike the use of a single marker, our study employed a multi-parameter regression method, resulting in superior accuracy. A diagnostic model based on the neural network algorithm was established, demonstrating an accuracy of 93.5% after screening, surpassing the accuracy before screening at 81%. Furthermore, we optimize the model by incorporating the gender factor, leading to an accuracy exceeding 96%. Numerous studies have demonstrated that the analysis of VOCs in exhaled breath holds significant potential for effectively distinguishing lung cancer patients from healthy individuals. These findings emphasize the potential of respiratory analysis as a novel diagnostic tool for early detection of lung cancer.

Open Access

Article

Research progress on the role of lycopene in promoting mammalian spermatogenesis

Yun Li, Guangzhao Ma, Enzhong Li

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 76 , 2024, DOI: 10.62617/mcb.v21.76

Abstract：

A carotenoid called lycopene (LYC) is one of the most potent antioxidants. Superior physiological properties of LYC include cancer prevention, cholesterol reduction, antioxidant activity, scavenging of free radicals, immunity enhancement, prostate protection, and increased sperm viability. In recent times, male sperm quality has decreased. Following studies on LYC’s function in spermatogenesis, the therapy of male infertility diseases has made extensive use of it. Here, we give an accurate theoretical foundation for the use of LYC in large animal breeding and the treatment of male infertility in humans by summarising the variables influencing spermatogenesis and the enhancing effect of LYC on mammalian spermatogenesis.

Open Access

Article

Hepatocyte growth factor and insulin-like growth factor-1 were used to repair bone-cartilage defects in bone marrow mesenchymal stem cells in a rabbit model of postmenopausal

Jia-Qi Guan, Chuan-Bo Zang, Jun-Cen Li, Fei-Fan Chen, Ya-Hui Wang, Guang-Dong Zhou, Yu Liu, Yi-Lin Cao

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 72 , 2024, DOI: 10.62617/mcb.v21.72

Abstract：

In postmenopausal osteoporosis (PMOP), an imbalance exists in the differentiation of bone marrow mesenchymal stem cells (BMSCs), with a decrease in osteogenic differentiation and an increase in adipogenic differentiation. This imbalance leads to bone marrow adiposity, bone loss, bone fragility, and a substantial rise in fracture risk. After a patient experiences an osteochondral defect due to trauma, it struggles to heal naturally, presenting a clinical challenge for treatment. Our study delved into the abnormal differentiation of BMSCs in PMOP by conducting transcriptome sequencing on BMSCs from a PMOP model (PMOP-BMSCs) and a healthy control model (Normal-BMSCs). We identified insulin-like growth factor 1 (IGF-1) and hepatocyte growth factor (HGF) genesas significantly low-expressed protein-coding genes during the osteogenic cartilage differentiation process of PMOP-BMSCs. Due to the downregulation of its expression, it leads to the deletion of the proteins it encodes IGF-1 and HGF. In order to verify the sequencing results, the feasibility of co-culture the above two growth factors with PMOP-BMSCs to repair osteochondral defects was discussed. The findings indicated that the inclusion of elements enhanced the DNA replication activity and extracellular matrix mineralization of PMOP-BMSCs. It also promoted the construction of tissue-engineered bone in vitro and the up- regulation of Runx2, BMP4, OCN, ACAN, collagen type Ⅰ, II, and Sox9 osteochondral differentiation markers. In the rabbit model of knee osteochondral injury with PMOP, the group treated with both growth factors and PMOP-BMSCs showed superior outcomes in repairing cartilage and subchondral bone defects compared to the other groups. We suggest that the addition of HGF and IGF-1 increases the expression of osteoblast and cartilage-related genes and proteins, promoting the proliferation and differentiation of osteochondrous bone in PMOP-BMSCs. These findings could offer a novel cell therapy strategy for treating postmenopausal osteoporosis, utilizing growth factors.

Open Access

Article

Design and Optimization of Mechano transduction Sensors for effective analysis of proteins with Robotic interference

Liqing Su , Sumin Feng, Lirong Zhang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 79 , 2024, DOI: 10.62617/mcb.v21.79

Abstract：

Méchano transduction sensors convert mechanical inputs into electrical signals, allowing robots to detect and interact with their environments in various bio-imaging applications. Current bio-sensor systems have some drawbacks that prevent them from being widely used in robotic applications. These include low sensitivity, short durability, and expensive manufacturing costs regarding picture prediction and categorization. To overcome these obstacles and improve robotic mechanotransduction sensors for efficient protein analysis, this work suggests Unique Sensor Fabrication Techniques (USFT). These methods enhance sensor performance in protein analysis while keeping costs low and scalability high via integrating complex micro- and nano-scale materials and architectures. In comparison to traditional sensor designs, comprehensive evaluations based on predefined parametric criteria show significant improvements in areas such as sensitivity, response time, and predictability in protein biomolecules. In addition, assessments of scalability and manufacturability point to the possibility of widespread use in robotic systems for protein categorization and prediction. In bioimaging applications, this study helps advance sensor technology for reliable and efficient robot-environment interaction.

Open Access

Article

Biomechanical perspectives on bio-molecular environmental regulation: Long-term strategies

Xuewen Du

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 83 , 2024, DOI: 10.62617/mcb.v21.83

Abstract：

Environmentally conscious practices can be encouraged in many organisations through this study, which has the potential to change our understanding of bio-molecular interactions in natural systems. There is an immediate need for innovative approaches to environmentally responsible bio-molecule management due to the critical nature of environmental problems such as pollution, climate change, and resource depletion. Using state-of-the-art computational biomechanics and organic sciences, this study presents an approach to environmental governance known as Integrative Biomechanical Modelling for Environmental Governance Technique (IBM-EGT). A combination of environmental parameterization, advanced biomechanical modelling, and excellent data sets allows the IBM-EGT method to describe the behaviour of biomolecules in a wide variety of natural settings. By factoring in environmental variables like temperature, pH, and pollutant concentrations, IBM-EGT provides a comprehensive picture of bio-molecular dynamics in response to environmental stimuli. Biomaterials, bioremediation, pharmaceuticals, and even agriculture are just a few of the many potential sectors that can profit from IBM-EGT. Agricultural operations can be optimised, green medicines can be introduced, sustainable biomaterials can be developed, and diseased regions can be cleaned up with its help. Because it enables the prediction of bio-molecular interactions and behaviour in complex environmental contexts, simulation analysis is a fundamental topic of IBM-EGT. In an effort to find the best ways to conduct activities while reducing negative environmental impacts and increasing positive ones, IBM-EGT does scenario analysis based on simulations. The studies mentioned here help keep the environment and people healthy by elucidating the nature of the connection between Bio-Molecules and their herbal environment. Furthermore, it enables the development of plans for the distant future.

Open Access

Article

An exoskeleton upper limb rehabilitation robot based on electroencephalography

Jianbin Wang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 77 , 2024, DOI: 10.62617/mcb.v21.77

Abstract：

Today, stroke patients have varying degrees of motor impairment after surgery. An Electroencephalography (EEG) signal is a potential change recorded on the scalp of a human or animal, which can be combined with a rehabilitation robot to help patients complete rehabilitation movements. In this paper, a new exoskeleton-type 6-DOF upper limb rehabilitation robot is designed based on EEG control. The wavelet denoising method based on Gaussian mixture model (GMM) is used for signal pre-processing. The wavelet packet decomposition method is used to extract feature vectors, and the feature performance index based on Mahalanobis distance and Babanobis distance is introduced to test the accuracy of Feature Performance Index (FPI) relativity. The random forest classifier was used to classify and recognize the EEG characteristics and obtain the motion intention of patients. The experimental research shows that the EEG signal processing method proposed in this paper has significant effect, and the upper limb rehabilitation robot based on EEG signal has feasibility. The whole system can significantly improve the patient’s rehabilitation enthusiasm.

Open Access

Article

Molecular dynamics insight into drug-loading capacity of dodecylphosphocholine aggregate for doxorubicin

Qijiang Shu, Qin Lv, Zhi Dong, Wenping Wang, Zedong Lin, Pengru Huang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 111 , 2024, DOI: 10.62617/mcb.v21.111

Abstract：

The therapeutic effect of doxorubicin (DOX) on various cancers is enticing, but its huge toxic side effects are equally obvious. Loading it into nanocarriers and then delivering the drug is currently the most promising solution. In this work, we investigate the assembly mechanism of dodecylphosphorylcholine (DPC) aggregates for encapsulating DOXs using molecular dynamics simulation with an all-atomic force field. The principal propellants of the drug encapsulation procedure encompass hydrophobic and van der Waals interactions. Additionally, hydrogen bonding and electrostatic interactions wield significant influence in the aggregation dynamics of DPCs. The radial distribution function indicates that when DPC aggregates act as stable carriers exerting strong adhesion to the drugs, intermolecular interactions predominantly manifest within the spatial interval ranging from 0.5 nm to 1.0 nm. All calculated data and visualized images of the system configuration changing with simulation time reveal that after about 30 ns, the changes in DPC aggregation sites tend to ultimately form multiple aggregates and exhibit a good morphology loaded with DOXs. Our study explored the drug-carrying potential of DPC, which provides an important theoretical basis and effective guidance for researchers to design a more suitable DDS for DOX and then break through the bottleneck of the clinical application of DOX.

Open Access

Article

Athlete muscle strength control training based on network security and multi-source information fusion

Zhongxing Zhang, Jun Cai

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 142 , 2024, DOI: 10.62617/mcb.v21.142

Abstract：

With the booming development of competitive sports worldwide, athletic training is receiving increasing interest in the world. Major sports organizations and universities around the world have established their own athlete training centers to support sports training and scientific research activities in recent years. Data from strength training is crucial for controlling muscle strength. However, this key factor is often attacked by the network. As NS threats escalate, artificial intelligence-driven strength training systems encounter information security risks. Therefore, this paper proposed a new strength training method based on NS and Multi-Source Information Fusion (MSIF). This method evaluates athletes’ sports skills, speed quality and strength quality through data fusion algorithm to effectively monitor the activities related to muscle strength control training. The research results showed that under the same conditions, the P value of the indexes of sports skills, speed quality and strength quality of male and female athletes in Group X before and after the experiment was greater than 0.05, and there was no significant difference; the P value of Group Y was less than 0.05, showing a significant difference, and indicating that the relationship between NS and MSIF and athletes’ muscle strength control training was positive.

Open Access

Article

The effect of immediate neuromuscular training on ankle biomechanics in individuals with functional ankle instability

Jiongxiang Zhao, Enze Shao, Julien S. Baker, Ee-Chon Teo, Yaodong Gu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 162 , 2024, DOI: 10.62617/mcb.v21.162

Abstract：

Functional ankle instability arises from recurrent ankle sprains. Neuromuscular training is employed to enhance ankle stability in individuals who experience functional ankle instability. The study involved 24 male university students with functional ankle instability, undergoing ankle neuromuscular training on three surfaces. The OpenSim musculoskeletal model assessed effects on ankle kinematics, kinetics, and muscle activity. Using one-way repeated measures ANOVA and one-dimensional statistical non-parametric mapping to distinguish differences among training surfaces. The study aimed to compare biomechanical characteristics of ankle motion in individuals with functional ankle instability undergoing immediate neuromuscular training on a foam cushion surface versus training on level-ground and artificial turf. Results showed foam cushion training significantly increased tibialis anterior and gastrocnemius medial activation during walking ( p < 0.05), with no differences observed in peak ankle plantarflexion, peroneus longus, and gastrocnemius lateral. Foam cushion training further increased activation in four muscles and peak ankle plantarflexion moment during jogging and fast running ( p < 0.05). Furthermore, foam cushion training reduced subtalar mobility ( p < 0.05) and showed greater dorsiflexion angles during jogging and fast running ( p < 0.05). Therefore, immediate ankle neuromuscular training on a foam cushion is more advantageous in enhancing ankle stability among individuals with functional ankle instability, positively impacting functional ankle instability improvement.

Open Access

Article

The effect of Mongolian Medicine Chagan Gaoyou-4 Powder on bone mineral density induced by retinoic acid in rats

Tubuxin, Seesregdorj Suregjid, Dorjbat Sosorburam

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 127 , 2024, DOI: 10.62617/mcb.v21.127

Abstract：

Objective: To investigate the effects of Chagan-Gaoyou-4 powder on spine bone mineral density and serum estrogen and estrogen receptor alpha (ERa) and estrogen receptor beta (ERβ) protein expression in bone tissue induced by retinoic acid in rats. Methods: Sixty 3-month-old SPF female SD rats were randomly divided into model group (retinoin group), normal group (SHAM group), Mongolian medicine group (Chagan-Gaoyou 4 group), and control group (Gushukang granule group). After 14 days of administration, spinal Bone Mineral Density (BMD) was measured, and external manifestations were observed. Results: Compared with the SHAM group, the BMD values of all medication groups decreased ( P < 0.05, P < 0.001). Compared with the model group, the spinal BMD value of the Chagan Gaoyou-4 group was increased after 21 days of treatment, and the difference was statistically significant ( P < 0.01, P < 0.05). After 21 days, the spinal BMD value of all treatment groups was increased ( P < 0.05), the spinal BMD value was also increased, especially Chagan Gaoyou-4 group was more obviously increased ( P < 0.05). Compared with the normal group, ERa and ERβ levels in the model group were significantly decreased ( P < 0.001), and ERa and ERβ levels in all drug groups were significantly increased ( P < 0.001) compared with the model group. After 21 days of treatment, there was no significant difference among the three treatment groups ( P > 0.05). ERa and ERβ levels in the Chagan Gaoyou-4 group were higher than those in the model group ( P < 0.05), but there was no significant difference between the group and the Gushukang granule group ( P > 0.05). The E2 content of the Chagan Gaoyou-4 group was higher than that of the model group ( P < 0.05). The mRNA expression of estrogen receptor ERa and ERβ in bone tissue of the left proximal femur was detected by RT-PCR. Compared with the model group, the expression of ERa and ERβ mRNA in the Chagan Gaoyou-4 group and Gushukang granule group was increased. Compared with the model group, ERp mRNA expression was increased in the Chagan Gaoyou-4 powder medium-dose group. Compared with the Gushukang granule group, there was no significant difference in ERm RNA expression in the Chagan Gaoyou-4 dose groups. Chagan Gaoyou-4 can up-regulate the expression of ERa and ERβ induced by retinoic acid in rats, indicating that the Chagan Gaoyou-4 powder group may promote bone formation, regulate bone resorption, improve bone mineral density, and achieve the purpose of preventing and treating OP by increasing estrogen level, stimulating estrogen receptor, and increasing the expression of ERa and ERβ in bone tissue. Conclusion: Chagan-Gaoyu-4 powder may have estrogen-like effects on the bone tissue of rats induced by retinoic acid and may increase the level of serum estrogen, ERa, and ERβ protein expression, thereby improving the spinal BMD of experimental rats. The Chagan-Gaoyou-4 powder group could improve the general condition of osteoporosis induced by retinoic acid in rats.

Open Access

Article

Navigating the biomechanical landscape: Enhanced methods for drug analysis

Shanghui Sun

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 130 , 2024, DOI: 10.62617/mcb.v21.130

Abstract：

In drug analysis and detection, chemiluminescence is a standard technical method based on the idea that the concentration of observed substances in the chemical detection system and the chemical luminescence intensity establish a linear quantitative relationship under certain conditions. Bio-mechanical landscape (BML), which uses bioengineered systems to simulate essential elements of the human tumour microenvironment, is already enhancing cancer biology and aiding clinical translation. The majority of illicit substances have dangerous cardiovascular side effects that might range from an irregular heartbeat to a heart attack. Cardiovascular disease, including blocked veins and bacterial infections of the blood arteries and heart valves, may also result from injecting illicit narcotics. The challenging characteristics of such a cardiovascular disease using drug analysis are heart failure, low blood pressure and headaches. Hence, in this research, drug analysis has improved wearable body sensor network-enabled artificial neural network (WBSN-ANN) technologies for cardiovascular disease. Medicine and drug development because they provide information on patient status in the clinical context and vital information on pharmacodynamics activity, effectiveness, and safety throughout the research process. The process results in a research-intensive organization finding a novel chemical or biological compound and developing it into a medicine that patients can legally utilize for drug discovery and development.

Open Access

Article

Utilization of NIR photosensitive π-conjugated materials in sports using near infrared spectroscopy imaging: Real-time measurement of muscle oxygenation levels

Haiguang Hu, Na Zhou

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 174 , 2024, DOI: 10.62617/mcb.v21.174

Abstract：

The measurement of muscle oxygenation levels by near infrared spectroscopy imaging technology is hindered by light scattering and absorption in tissues. This leads to a limited measurement range and necessitates a significant amount of time for optical signal acquisition. Therefore, this article used photosensitive π-conjugated materials for measurement optimization in near infrared spectroscopy imaging technology. Firstly, photosensitive π-conjugated materials were applied to near infrared spectrometers for spectral measurements. Secondly, the elimination of uninformative variables and the ratio of regression coefficients to spectral residuals were used for wavelength screening. Subsequently, the spectral data was preprocessed, and principal component analysis was used for quantitative correction. Finally, the effectiveness of near infrared spectroscopy imaging technology optimized using photosensitive π-conjugated materials was verified through experiments. In terms of measurement range, the near infrared spectrometer optimized using photosensitive π-conjugated materials expanded the measurement range by 42.7%; in terms of optical signal acquisition time and measurement accuracy, the acquisition time of near infrared spectrometers optimized with photosensitive π-conjugated materials was shorter than that of near infrared spectrometers optimized without photosensitive π-conjugated materials. In terms of measurement accuracy, the near infrared spectrometer optimized using photosensitive π-conjugated materials had higher accuracy, both exceeding 98%. The use of photosensitive π-conjugated materials in near infrared spectral imaging analysis had good monitoring effects, and could quickly, accurately, and comprehensively measure muscle oxygenation levels, making it very suitable for application in sports.

Open Access

Article

Comparative study on the accuracy of SysmexUF5000 and UF1000i automatic urine sediment analyzer for urine specimen detection

Chunhua Luo, Yucheng Luo, Qianyuan Li, Jun Luo, Peng Wang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 84 , 2024, DOI: 10.62617/mcb.v21.84

Abstract：

Background: Urinalysis includes the physical examination of urine and the examination of formation scores, and the microscopic evaluation of the visible components in urine is a time-consuming process with high labor intensity and requires solid morphological expertise. Objective: To assess the Sysmex UF5000 automatic urine sediment analyzer’s diagnostic capability and contrast its accuracy with UF1000i urine samples. Methods: The precision, contamination rate, linear range, and reportable range of UF5000 were evaluated according to relevant regulations and verification methods provided by manufacturers. Urine samples were detected by UF5000 and UF1000 sediment analyzers, respectively. The accuracy of the false positive rate, false negative rate, sensitivity, and specificity of urine samples detected by the two instruments were compared using the results of centrifugal microscopy as the gold standard. Results: Red blood cells (RBC), White blood cells (WBC), and Epithelial cells (m) were detected by the Sysmex UF5000 urinary sediment analyzer. The intra-batch precision and inter-batch precision of EC), tubular type (CAST) and bacteria (BACT) were all within the required range. The contamination rate and linear range of RBC, WBC, and BACT met the requirements and could be reported widely. The false positive rate of UF5000 RBC was significantly lower than UF1000i, while the false positive rate of CAST was higher than UF1000i, the difference was statistically significant. In UF5000, the false negative rate of MALE WBC was significantly lower than that of females, and the difference was statistically significant. There was no difference in the specificity of white blood cells detected by the two instruments. When compared to UF1000i, UF5000 had much higher specificity for erythrocyte and tube types, and the sensitivity of three commonly used parameters of UF5000 was significantly higher than that of UF1000i, with statistical significance ( P < 0.05). Conclusion: Compared with the UF1000i, the UF5000 showed similar or better diagnostic performance on most parameters.

Open Access

Article

Evaluation of therapeutic response to algorithm assisted improvement of oral mucosa damage in male AIDS patients

Zhaolin Zhang, Shufeng Zhang, Jing Zhang, Lijun Wang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 137 , 2024, DOI: 10.62617/mcb.v21.137

Abstract：

HIV/AIDS is now the biggest cause of mortality in Africa and the fourth highest cause of death globally. Half or more of HIV-infected individuals and as many as 80% of AIDS patients develop oral lesions. People living with HIV/AIDS may benefit from early testing, diagnosis, and treatment if oral lesions are detected, as they are the initial clinical characteristics of the infection and strong indicators of immunodeficiency. Oral candidiasis (OPC), oral hairy leukoplakia (OHL), oral Kaposi’s sarcoma (OKS), and HIV-associated periodontal diseases were the subjects of this comprehensive review designed to assess the available data for the management of these and other common oral mucosa damage that are linked to HIV. Further exacerbating the condition are host variables such as xerostomia, smoking, dental caries, oral prosthesis, diabetes, and cancer treatments. A separate portion of this Worldwide Workshop discusses the treatment of salivary gland illness linked with HIV. Oral mucosa injury in AIDS patients does not have a reliable diagnostic approach. Improving the early diagnosis of Oral Mucosa damage in male AIDS patients was the primary goal of this work, which sought to construct an Artificial Intelligence (AI) diagnostic model with high sensitivity. To demonstrate a Gradient Boosting Regression (GBR) based method for assessing the efficacy of treatments for oral mucosa damage in AIDS patients. Both investigation and diagnostic applications may benefit from this predictor. Results show that, compared to existing models, the suggested AI and GBR methods can accurately predict oral mucosa deterioration in AIDS patients. This study significantly contributes to the profession by improving the accuracy of diagnoses and providing useful information for treatment options.

Open Access

Article

Rehabilitation management of sports athletes’ muscle injury based on OpenSim technology

Na Zhou, Haiguang Hu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 175 , 2024, DOI: 10.62617/mcb.v21.175

Abstract：

Due to the rapid development of sports and people’s love for sports, athletes often perform resistance training beyond the body to achieve better results, resulting in frequent muscle injuries. After the injury, the athlete cannot return to the state before the injury in time, which destroys the previous training results and hinders the athlete from improving to the professional level. Therefore, the research of athletes’ post-injury rehabilitation is the central subject of modern sports science research. This paper used OpenSim technology to study the rehabilitation management of sports athletes’ muscle injury. In this paper, the OpenSim skeletal muscle model was first established, followed by muscle modeling and characteristic analysis, and then a muscle rehabilitation system was constructed. The experimental part used the limb rehabilitation device model of this paper to carry out muscle rehabilitation training for patients with muscle injury, and compared it with conventional rehabilitation training. The experimental results showed that the limb rehabilitation device in this paper had a better rehabilitation effect. Compared with the traditional rehabilitation training, the excellent rate of the total active range of motion of the joints and the satisfaction of rehabilitation nursing were both increased by 10%.

Open Access

Article

Relationship between minerals, vitamins and sports ability of dance athletes

Ping Chen, Lu Liu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 155 , 2024, DOI: 10.62617/mcb.v21.155

Abstract：

Vitamins and minerals are essential for regulating metabolism. According to the nature of sports, athletes can take multi vitamin and mineral supplements to enhance some important metabolic processes and improve sports performance. The purpose of this study is to explore the effects of minerals and vitamins on the sports ability of dance athletes. In this study, 100 professional dancers were randomly divided into the experimental group and the control group by the control variable method. The sports diet and water of the experimental group were supplemented with certain vitamins and minerals. After that, the athletes were trained and tested, including 12 min running, strength test and dance training duration test. The results showed that the 12 min running distance of the experimental group was 420 m more than that of the control group, the balance time was 16 min longer, and the strength was increased by 25 N. In the overall energy comparison, the energy and endurance of the experimental group was two hours more than that of the control group. The conclusion is that minerals and vitamins play a role in promoting and subsidizing the physical fitness of athletes, which are more prominent in endurance and strength. This study provides a certain value for the effect of nutrients on athletes’ ability.

Open Access

Article

Mechanobiological factors in fermentation: Understanding the impact on food texture and nutrient release

Hui Liu, Gao Chen

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 158 , 2024, DOI: 10.62617/mcb.v21.158

Abstract：

Evaluating people’s food intake is crucial for establishing the link between diet and disease. Deprivation of vital nutrients causes the body to deteriorate organs and increases the risk of severe diseases that manifest in maturity. Making healthy food choices is one of the best ways to avoid developing chronic diseases, such as diabetes, heart disease, stroke, and even certain types of cancer. Hence, this paper proposes a deep learning-based automated nutrition classification system (DL-ANCS) for predicting food ingredients and nutrition. The DL-ANCS with Internet of Things (IoT) sensors to quantify food nutrition and a smartphone app to compile ingredient nutritional information. It is possible to take pictures of food eaten using the camera that comes with most mobile phones. It is possible to automatically identify the food items for record keeping using image processing. The effectiveness of the proposed DL-ANCS relies on its ability to accurately classify food items in these photos utilizing meal prediction algorithms and DL-ANCS. This research introduces a novel approach to extracting texture information from food photos to show how these features improve the accuracy of a nutritional assessment system that runs on mobile phones. The proposed method improvesthe food texture ratio of 98.7%, effectiveness ratio of 99.2%, accuracy ratio of 95.89%, food ingredient predictionsand their nutritional compatibility ratio of 96.8%, and food component classifications ratio of 97.29%.

Open Access

Article

Cellular and subcellular effects of chronic low-dose Lambda-cyhalothrin pesticide exposure modulated by medicinal plant methanol extract in rat

Brahim Ben Aicha, Salim Gasmi, Zhoura Lakroun, Rachid Rouabhi, Hamadi Fetoui, Mohamed Kebieche

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 145 , 2024, DOI: 10.62617/mcb.v21.145

Abstract：

The extensive use of Lambda-cyhalothrin (LCT) has been associated with the various toxicities that non-target organisms can undergo including mammals. However, the mechanism of LCT-induced cytotoxicity in animal brain cells is still elusive, particularly in brain regions, notably the hippocampus, an area directly involved in cognitive function. This study aimed to investigate the neurotoxic effects in the rat hippocampus chronically exposed to LCT (0.18 mg/kg and 0.36 mg/kg), and the neuroprotective potential of Melissa officinalis L methanol extract (MOE) (200 mg/kg) against this toxicity. After experimental period (90 days), the redox status, the functional and structural integrity of the hippocampus mitochondria as well as the apoptotic signaling pathway were evaluated. The current findings suggest that LCT induces an imbalance of mitochondrial redox status characterized by, on one side, an increase of stress markers such as protein carbonyls (PCO), malondialdehyde (MDA), and hydrogen peroxide (H 2 O 2 ) levels; and on the other side, a decline in the potential of antioxidant systems, namely the level of mitochondrial enzymatic activities of catalase (CAT), glutathione peroxidase (GPx), superoxide dismutase (SOD) and glutathione (GSH).This study also showed an increase in mitochondrial permeability, along with mitochondrial edema and considerable decrease in its O 2 consumption. Moreover, the same results recorded an increase in caspase-3 and cytosolic cytochrome-c. Conversely, this study proved that all these toxic aspects induced by LCT were significantly mitigated when the administration of this synthetic pyrethroid was associated with MOE. Taken together, data of this study shed light on mitochondrial damage and apoptosis stimulation under the toxic effect of LCT and suggests that MOE is endowed with potent neuroprotective effects, possibly via its antioxidant and antiapoptotic properties.

Open Access

Article

The integrated relationship between type two muscle fibers and aging: An update study

Ivelize Freire

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 180 , 2024, DOI: 10.62617/mcb.v21.180

Abstract：

Aging is an intriguing process that fascinates many researchers. This fascination is related to the impossibility of controlling time and its influence on human beings. Many theories have been studied to understand this complex process and the impact it has on the muscular system. The ability to control this influence and how to reduce the risk of falls, prevent illnesses, and improve the quality of life of the elderly has encouraged the development of many studies related to it. It is known that type two fibers undergo more denervation than type one fibers during aging, as well as the relationship between specific characteristics and their decline. However, some questions related to how this process actually happened and the ideal exercises that can enhance hypertrophy and the recruitment of type two fibers, although resistance training has been more accepted, are not clear and require further studies focused on this issue. Therefore, considering the importance of these type 2 muscle fibers in the aging process and how they impact the elderly, the objective of this study is to be pioneer in collecting recent and relevant information associated with this specific kind of fiber, show the current gaps on the subject and encourage new research to seek knowledge that improves science.

Open Access

Article

Research on countermeasures for safety prevention of muscle injury in sports under the background of big data and smart medicine

Chunfang Wang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 164 , 2024, DOI: 10.62617/mcb.v21.164

Abstract：

With the deepening of quality-oriented education and the implementation of new curriculum standards, the forms and contents of school sports activities are increasingly diversified. In this regard, special attention must be paid to sports safety. Sports is a sport to improve physical and mental health, but it is easy to cause physical injury in sports. Big data can effectively monitor the normalization of movement in the process of exercise, so as to take timely safety precautions and reduce the probability of muscle injury. Therefore, by analyzing the causes and influencing factors of muscle injury in sports, this paper puts forward some safety precautions to avoid muscle injury accidents during sports. Through the neural network algorithm, it can be seen that with the increase of time, the function width and prevention index of security are constantly rising, and the average value of function width is about 0.83. The seventh day is 0.15 higher than the first day, the average value of prevention index is 1.31, and the seventh day is 0.19 higher than the first day. The effect of the optimized safety prevention strategy is better than that of the traditional safety prevention strategy, and the probability of muscle injury of athletes is also greatly reduced by 11% compared with the traditional one; However, the rehabilitation effect has improved a lot, 9% higher than the traditional one.

Open Access

Article

Application of biomechanics in sports rehabilitation

Nannan Zhang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 178 , 2024, DOI: 10.62617/mcb.v21.178

Abstract：

The application of biomechanical methods and techniques in rehabilitation treatment has been explored to deepen understanding of the health recovery of injured athletes, thereby improving their efficacy and quality. There are various methods for using biomechanics, which can help people understand the patient’s movement characteristics and mechanical changes, evaluate the patient’s recovery progress, and optimize the plan. Therefore, this article mainly conducted research and analysis on the application of biomechanics in sports rehabilitation, and explained the specific role of biomechanics in it by comparing before and after sports rehabilitation in different situations. The results showed that after treatment with biomechanical methods, the patient’s muscle strength increased by 9.4%–20.93% compared to the original, and the power value increased by 0.8–4.56 watts. The effect was good for achieving 71.28% muscle activity, and there was also a significant improvement in its sports mechanics indicators. After receiving biomechanical treatment, the quality of motor skills in patients was over 60%, which showed significant improvement compared to before treatment. Therefore, when conducting sports rehabilitation, biomechanical treatment plans should be used to achieve better therapeutic effects.

Open Access

Article

Exploration on the change process of human glucocorticoid during incremental exercise load training

Wei Yue, Shu Qiao, Xudong Zhang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 185 , 2024, DOI: 10.62617/mcb.v21.185

Abstract：

Glucocorticoid is a kind of hormone synthesized from glycogen, which has many physiological functions such as improving the body’s anti fatigue, anti stress, and promoting growth. Oxidation medicine is a new medical science with dual characteristics of theory and technology, which is based on biological processes. Glucocorticoids can treat many diseases, but there are certain limitations in this process, especially in diseases that play a vital role. The purpose of this paper is to explore the change process of human glucocorticoid in the process of incremental exercise load training. This paper put forward the algorithm of incremental load training and action recognition in sports training, and analyzed the changes of human glucocorticoid (GC) in the process of incremental load training based on this research. The experimental design includes the selection of research subjects, the determination of sample size, and the setting of experimental and control groups. The load was set to start at 10 a.m., with cycling training from full effort to exhaustion. The initial load was 100 W, and it increased by 20 W every 10 min. The experimental results in this paper showed that for the changes of testosterone (T) during exercise, the salivary T secretion rate immediately after exercise was significantly different from that in the resting state at the recovery period of 30 min. For the change of GC during exercise, the secretory rate of saliva GC was 2.84 mmol/min in the resting state; the secretion rate of saliva GC was 2.46 mmol/min after 20 min of exercise and 2.15 mmol/min after 40 min of exercise; the secretion rate was 1.71 mmol/min immediately after exercise and 2.55 mmol/min after 30 min rest; there was a significant difference in the secretion rate of saliva GC for 5 times. In a word, there was no significant change in saliva T/GC value during exercise and rehabilitation under static state, which was related to strong adaptability of the body and no significant stress response.

Open Access

Article

Biological analysis method based on the relationship between athlete’s PSI rhythm and sports injury

Zhongxing Zhang, Jun Cai

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 160 , 2024, DOI: 10.62617/mcb.v21.160

Abstract：

Biorhythm is the law of cyclical changes in individual life activity characteristics as time changes. Biorhythm is an internal law of a biological organism, which comes from the changes that a biological organism is affected by changes in the external environment during natural activities, so its change law is similar to the cycle of the natural environment. Biological rhythms play an important role in mediating human body functions, vital activities, body temperature and other physiological reactions. The balance and stability of biological rhythms can ensure the healthy life activities of the human body. Disrupting the balance of biological rhythms may cause various kinds of human body. In this paper, the research of biological analysis method based on the relationship between athlete’s PSI (Physical, Sensitive, Intellectual) rhythm and sports injury is mainly introduced, and ideas and directions are intended to be provided for analyzing the relationship between athlete’s physical strength, emotion, intelligence and sports injury. This paper proposes a research strategy based on the biological analysis method of athlete’s PSI rhythm and sports injury, including measurement of biological rhythm, literature retrieval method, expert interview method, questionnaire survey method, clustering algorithm-based biological analysis method. A research experiment on the biological analysis method of the relationship between PSI rhythm and sports injury is conducted. The experimental results of this paper indicated that most sports injuries of athletes occur in the critical period of PSI rhythm, with an average incidence of 70.14%. Athletes’ training and competition can be avoided in this critical period as much as possible.

Open Access

Article

Utilizing porous carbon composites based on biomass for lithium battery negative electrodes

Yi Chen, Aiwu Tang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 166 , 2024, DOI: 10.62617/mcb.v21.166

Abstract：

This work used high-temperature calcination techniques along with basic chemical processing to produce a range of porous carbon compounds from biomass. After that, these substances were employed as anodes in lithium-ion batteries. The first hard carbon was produced via the dehydration reaction of strong sulfuric acid with sucrose (R-HC), then annealing in an NH 3 Ar environment was used to obtain the nitrogen-doped porous hard carbon (N-HC). Because N-HC has a high interlayer spacing (ca. 0.39 nm) and an abundant ultra-microporous structure (pore size < 0.75 nm), the lithium-ion diffusion coefficient in N-HC can reach up to 9.0 × 10 −8 cm 2 .s −1 . The obtained porous carbon compounds contain a rich pore structure, many functional groups, and a high specific surface area, according to the results. Following their application to the anode of lithium-ion batteries, they demonstrate favorable cycle stability and electrochemical performance. Furthermore, a detailed investigation into the kinetic characteristics of the lithium-ion diffusion behavior in the electrodes revealed that the porous carbon materials’ electrodes exhibited greater surface diffusion behavior for Li + .

Open Access

Article

Biomechanical characteristics of lower limbs in Tai Chi Novices with different squatting depths: A pilot study

Wenlong Li, Zhifeng Zhou, Mengchen Ji, Wenjing Quan, Minjun Liang, Julien S. Baker, Yuwei Liu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 208 , 2024, DOI: 10.62617/mcb.v21.208

Abstract：

This study aimed to analyze the biomechanical characteristics of the lower limbs in Tai Chi novices performing the Part the Wild Horse’s Mane (PWHM) movement at varying squatting depths to identify potential risk factors for joint pain and injuries. Eight Tai Chi novices, with an average age of 20.75 years participated in this study. Joint angles, joint moments, ground reaction forces (GRF), center of gravity (COG), and muscle force were measured during PWHM at various squat depths. Data were analyzed using the one-way ANOVA in Open-Source Statistical Parameter Mapping in MATLAB, with corrected post-hoc tests using the Bonferroni correction. Different squat depths resulted in differences in joint angles, joint moments, joint range of motion (ROM), COG, and muscle force ( p < 0.05); however, no difference was observed in the joint stiffness or GRF. In comparison with a high squat depth, both low and medium squat depths exhibited greater peak knee and hip flexion angles, while the low squat depth also demonstrated a larger ROM in ankle inversion–extension, knee flexion-extension, hip flexion-extension, and hip adduction-abduction ( p < 0.05). Compared with a low squat depth, a high squat depth resulted in smaller peak ankle inversion, ankle internal rotation, knee external rotation, hip extension, hip adduction moment, and smaller muscle force in the semitendinosus, rectus femoris, rectus femoris, medial gastrocnemius, and tibialis anterior muscles ( p < 0.05). Different squat depths led to differences in lower limb biomechanics among Tai Chi novices. A low squat depth can bring more health benefits to Tai Chi novices; however, the higher demand for muscle strength may increase the load on the joints, causing joint pain or even injury.

Open Access

Article

HSP90AB1’s effect on hepatocellular carcinoma’s local immune response and prognosis

Yudong Wang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 138 , 2024, DOI: 10.62617/mcb.v21.138

Abstract：

Background: HSP90AB1 (heat shock protein 90 kDa alpha, class B, member 1) helps collapsing proteins, and the restraint of HSP90AB1 is anticipated to successfully illuminate the issue of warm stun reaction of the restraint of HSP90. The fundamental component by which HSP90AB1 influences the neighbourhood-resistant reaction to tumours remains vague. Materials and strategies: This investigation analyzes the impact of HSP90AB1 on the composition and dispersion of safe cell invades inside hepatocellular carcinoma (HCC) tissues. At that point, by examining HSP90AB1-associated immunoregulatory qualities, KDR, MICB, and TNFRSF4 were distinguished as critical supporters. A prognostic show joining these qualities was built, and its exactness was approved by utilizing free datasets from the ICGC and TCGA databases. Results: Our discoveries illustrate that the restraint of HSP90AB1 expanded the penetration of CD8+ T cells and other resistant cell populaces inside HCC tissues. This improved resistant reaction was related to moving forward with a quiet prognosis, proposing a potential restorative procedure for HCC. Conclusion: We propose that focusing on HSP90AB1 may improve the survival results of HCC patients by encouraging safe cell penetration into the tumour microenvironment.

Open Access

Article

Application of multi feature medical image fusion in biomechanics experimental teaching of sports rehabilitation

Zhaoxia Liu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 197 , 2024, DOI: 10.62617/mcb.v21.197

Abstract：

With the increasing demand of society for sports rehabilitation, many colleges and universities have set up the sports rehabilitation biomechanics specialty, which has been listed as a professional basic course in some colleges and universities. However, there are still many problems in the experimental teaching of this course, such as the failure to recognize the human movements in medical images in a timely manner, which makes it impossible to judge whether the movements of motion rehabilitation are standard. However, multi feature medical image fusion can become a new method, which has been widely used in the application and research of medical images, and its position and role in teaching have been further strengthened. Multi feature medical image fusion can not only eliminate redundant information, but also maintain the original image information, and achieve better fusion results. Under the background of multi feature medical image fusion, this paper proposed a support vector machines (SVM) method based on mixed kernel function. This method not only makes the motion recognition of traditional Chinese medical images of motion rehabilitation biomechanics more accurate, but also faster. The experimental results showed that the recognition accuracy and recognition rate of the kernel function were 60.2% and 53.7% when the number of samples was 800. The recognition accuracy and recognition rate of SVM were 65.5% and 53.8%. The recognition accuracy and recognition rate of SVM based on mixed kernel function were 89.9% and 86.7%. This further proved that SVM based on mixed kernel function was superior to the other two methods in recognition accuracy and recognition rate, which proved the superiority of this method in rehabilitation motion recognition.

Open Access

Article

Behavioral prediction and health benefit evaluation of leisure sports activities based on multi-physiological characteristics analysis

Hui Wang, Bin Liu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 207 , 2024, DOI: 10.62617/mcb.v21.207

Abstract：

Leisure sports activities, as a healthy form of entertainment, have garnered increasing recognition. This paper introduces a data analysis model designed for behavior prediction and health benefit evaluation in leisure sports activities, utilizing multiple physiological features. The proposed model offers recommendations for leisure sports activities and provides health assessment results based on an array of physiological feature data. Constructed using a combination of Lasso (Least Absolute Shrinkage and Selection Operator) and GBDT (Gradient Boosting Decision Tree) regression models within the Stacking ensemble learning framework, the model leverages physiological feature data from the dataset for training. Experimental results reveal that the combined prediction model achieves a coefficient of determination of 0.9832, effectively mitigating the impact of pathological data on model fitting and demonstrating superior accuracy and stability compared to individual prediction models. Finally, this paper explores the future prospects of wearable devices for physiological feature data collection and the potential advancements in behavior prediction and health benefit evaluation methods based on such information.

Open Access

Article

Hip joint motion amplitude control based on exponential product formula

Jiexiu Yin, Zhaohui Qu, Juan Li, Yan Li, Xiaoyuan Zhang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 82 , 2024, DOI: 10.62617/mcb.v21.82

Abstract：

Background: Handball is a team sport, and during a game, there is a lot of direct squabbling and close contact between the players. Objective: The goal of the research is to determine how handball training affected several aspects of physical fitness. The study also investigates the relationship between playing handball, passive hip range of motion (ROM), and the development of radiologically detectable hip osteoarthritis (OA) in formerly elite handball players. The research employed the exponential product algorithm for evaluating bilateral radiographs to classify and diagnose hip OA. This technique most likely evaluated subchondral sclerosis, osteophyte formation, joint space narrowing, and other radiological signs of OA in the individuals’ hip joints. Methods: The relationship among the risk of hip OA in long-term top handball players is explored, as well as the connections among hip ROM, OA, and pain. The research was conducted using a sample size of 20 ex-professional handball players and 39 control subjects. Information on demographics, loading patterns during exercise, and history of lower limb joint injury were gathered via a questionnaire. The inclusion criteria for individuals consisted former professional handball players with significant elite-level competitive experience, as well as control subjects with no background of high-impact sports. Confounding characteristics such as age, gender, and previous lower limb joint injuries were carefully controlled for using extensive demographic and injury history evaluations. To identify and categorize hip OA, bilateral radiographs were analyzed using the exponential product algorithm. The goniometer was used to assess the bilateral passive hip ROM. Long-term participation in elite handball at a high level was found to have a strong correlation with the hip development of osteoarthritis (OA). Sixty percent of handball players had been identified with OA in at least one hip joint, compared to only thirteen percent of control patients. Results: Hip flexion and medial rotation in the handball players were significantly decreased, whereas abduction, extension, and lateral rotation were increased considerably compared to the control values. When doing daily activities, the hip joints of the handball players with OA were less painful than those of the OA-afflicted control participants. Retired handball players seem to be at a much higher risk than the general population for developing early hip OA. Conclusion: The repetitive nature of handball-specific movements may result in anomalies that are seldom seen in the general population, which makes diagnosing pain and discomfort a challenging diagnostic challenge for sports physicians.

Open Access

Article

Gas concentration level prediction with neural network model in multiple coal mine stations

Alimasi Mongo Providence, Chaoyu Yang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 118 , 2024, DOI: 10.62617/mcb.v21.118

Abstract：

Gas concentration level prediction in coal mines is a challenging task due to the complex environment and the high risk of gas explosion. Traditional gas concentration level prediction methods rely on manual monitoring and experience, which may result in inaccurate predictions and even accidents. In recent years, neural network (NN) models have been applied in gas concentration level prediction, showing promising results. This paper aims to investigate the effectiveness of NN models in gas concentration level prediction in multiple coal mine stations. A dataset of gas concentration level measurements in five coal mine stations is used to train and evaluate the NN models. We evaluated the NN model on the testing set and obtained an accuracy of 95.2% for methane gas concentration level prediction and 94.8% for carbon monoxide gas concentration level prediction. Results show that the NN model achieves high accuracy in gas concentration level prediction, and can be used as a reliable tool for coal mine safety management.

Open Access

Article

Evaluation on the prevention and treatment of sports injuries in physical education from a biomechanical perspective

Bin Cheng

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 229 , 2024, DOI: 10.62617/mcb.v21.229

Abstract：

The prevention and treatment of sports injuries have always been a hot topic in the field of sports medicine. Through the analysis of more than 20 factors, the direct or indirect factors can lead to sports injuries. Based on the related factors of sports injuries of athletes, the early warning mode of sports injuries was studied by using the Radial Basis Function (RBF) neural network. This article discussed the prevention and treatment of sports injuries from three aspects: investigation, treatment, and prevention of sports injuries. According to a questionnaire survey of 482 people from 5 colleges and universities, it was found that 89.63% of college students believed that their sports injuries were acute injuries, and only 10.37% considered them to be chronic injuries. Sports injuries would not only have a certain negative impact on physical education, but also have a great impact on the physical and mental health of students. Sports injuries are the most common injuries, followed by track and field. Among them, 80.29% were injured in basketball and 73.03% in football. Due to frequent physical contact, the injuries were relatively more, but in the net training game, their injuries were relatively small.

Open Access

Article

Research on the difference in plantar biomechanics among dance majors

Han Lei

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 189 , 2024, DOI: 10.62617/mcb.v21.189

Abstract：

Dance majors’ plantar biomechanics studies the functional and structural dynamics of their feet as they perform different dance moves and techniques. The primary objective is to comprehend which distinct dancing styles and approaches affect plantar biomechanics to possibly identify risk factors for injuries and guide dancers on how to prevent them. Dancing requires precise body alignment and movement, which leads to certain foot biomechanical variations that are vital for preventing injuries and improving performance. Distinct plantar biomechanics within dance majors (ballet and jazz) are examined to identify novel biomechanical factors. One hundred and fifty all fifty jazz dancers, fifty ballet dancers, and fifty non-dancers participated in the study. A 3D foot scanner and pressure measuring system are utilized for assessing variables such as arch elevation (AE), plantar pressure dispersion (PPD), and foot position (FP). Additionally, tests of gait ability using distinct foot biomechanics are carried out in various dance-related motions. For comparative assessment of such dancer groups, statistical techniques like Anova and Kruskal-wallis tests are used. Types of dance show different PPD formations, with jazz dancers including maximum midfoot pressure (MFP) and ballet dancers including maximum forefoot pressure (FFP), and both dancer groups have stronger ankle flexibility and toe flexion. Future research needs to assess the consequences of training plans and long-term modifications to gain an improved comprehension of how the biomechanically unique feet of dance majors necessitate targeted interventions for injury prevention and performance improvement.

Open Access

Article

Application of sports rehabilitation training in mobile edge computing to treatment of patients with knee arthritis

Mingyang Chang, Yunen Liu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 216 , 2024, DOI: 10.62617/mcb.v21.216

Abstract：

According to the data of the National Bureau of Statistics, in 2019, the proportion of elderly people aged 65 and above in the total population reached 12.6%, and with the acceleration of the aging process, the incidence of knee osteoarthritis has increased significantly. According to the Chinese Journal of Orthopedics, the number of patients with knee osteoarthritis is growing at a rate of 6% every year, and there are more than 100 million patients with knee osteoarthritis in China, which significantly affects the quality of life of middle-aged and elderly people. This paper uses mobile edge computing technology and nanotubes to cooperate with reasonable sports to study the rehabilitation of patients with knee arthritis in the rehabilitation stage. The subjects of the study were 60 patients with knee arthritis, and the 60 patients were divided into 4 groups: group A used nanotubes and exercise rehabilitation training; group B used nanotubes but no exercise rehabilitation training; group C did not use nanotubes Tube, but sports rehabilitation training after the operation; D does not use nanotubes, and does not perform sports rehabilitation training after the operation. The 4 groups of patients performed routine exercises on the basis of rehabilitation exercise care. The study lasted for six months, with the 60 patients assessed monthly on their self-care ability, knee function and quality of life. Self-care ability was assessed by the Barthel Index (BI), knee function was assessed by the Knee Score Scale (KSS), and quality of life was assessed by the SF-36 Health questionnaire. The experimental results showed that all indexes of group A were higher than those of group B, KSS value was 2 higher than that of control group, ADL (activities of daily living) comprehensive value was 0.4 higher than that of control group, and SF-36 (The Short-From-36 Health Survey) value was 0.8 higher than that of control group. The self-care ability and health status of patients who performed balance exercises were significantly higher than those who did not perform balance exercises. The quality of life of patients who used nanotubes was significantly higher than that of those who did not. Therefore, the method of using nanotubes in combination with exercise rehabilitation training can restore the function of patients with knee arthritis and promote high quality of life.

Open Access

Article

Analysis and prevention and treatment of ankle joint injury factors in basketball players based on data mining

Junqi Lu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 157 , 2024, DOI: 10.62617/mcb.v21.157

Abstract：

Basketball, as a highly popular ball game, has become increasingly exciting in both time and space. Therefore, basketball players must have good physical fitness. They need to adapt to changing environments and master corresponding technical actions. In sports, it is usually necessary to break away from the opponent’s defense by moving quickly and stopping quickly. Defensive players must make accurate predictions based on the enemy’s technical movements, which are often accompanied by intense physical confrontation. The purpose of this study is to analyze the causes and characteristics of ankle joint injuries in basketball players, propose treatment suggestions and preventive measures, and prevent ankle joint injuries. Firstly, the reasons for ankle joint injuries were explained, and a brief analysis was made of the characteristics of ankle joint injuries in the project and the technical actions that can easily cause ankle joint injuries. Next, this article considers preventive measures to avoid ankle joint injuries and proposes methods for preventing and treating ankle joint injuries during exercise. Afterwards, data mining methods were used to study the research mechanism of ankle joint injury, in order to promote the research mechanism of ankle joint injury. Through experiments and analysis, RBF neural network algorithm was introduced into the ankle joint injury research mechanism, and the new ankle joint injury research mechanism could enhance the therapeutic effect by 10.7%.

Open Access

Article

Application of core strength training based on learning control robot technology in Badminton

Li Wu, Xin Feng

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 88 , 2024, DOI: 10.62617/mcb.v21.88

Abstract：

The implementation of core strength training in badminton has received increasing attention as the game and training theories have matured. A single typical strength training session is not the same as core strength training. Strengthening the trunk’s core muscles can help athletes become more adaptable and physically strong, which will have a significant influence on badminton’s future growth. At present, core strength training has been tried to be applied to the routine training of athletes. However, its application has not been scientifically guided and its role cannot be fully exerted, which has adversely affected the improvement of athletes’ skill levels. Consequently, a thorough analysis of badminton’s features was done in this research. The use of core strength training in badminton was thoroughly investigated based on an exploration of the application value of this technique in conjunction with learning and control robot technology. This article examined three levels of special abilities, physical fitness and balancing ability, and compared it with the standard core strength training technology to demonstrate the application impact of the learning control robot’s core strength training in badminton. According to the experimental findings, learning control robot technology may be achieved through core strength training, the average scores of students’ badminton speed quality and strength quality were about 8.10 and 8.45. There was a clear difference between the scores of 6.69 and 7.54 of the traditional training methods, which proved its feasibility.

Open Access

Article

Molecular and cellular level analysis of the mechanism of nutritional intervention in preventing epidemic virus infection

Mingzhe Liu, Xia Liu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 129 , 2024, DOI: 10.62617/mcb.v21.129

Abstract：

Molecular nutrition encompasses a wider range of investigations than nutritional genomics, which can be considered a scientific investigation of how different nutrients and dietary components influence the cellular and molecular mechanisms of the body and health. In effect, increasing antioxidant elements in daily diets can assist with combating the inflammatory response caused by cytokines in the human body. Antioxidants can impede the oxidation process and hence avoid the creation of free radicals in the cytoplasm that can damage the cells via chain reactions. Contamination sequences, batch effects, uneven sampling, unreported taxa, technological biases, and heteroscedasticity are all significant issues in molecular microbial biology. Artificial Intelligence (AI) methodologies to uncover hidden patterns, connections, and interactions within metabolomics data, allowing them to provide personalized food recommendations based on individual health profiles. A multi-scale convolutional neural network (MCNN) classifies cellular images into phenotypes in a single coherent step utilizing the image’s pixel intensity values. Hence, the proposed AI-MCNN has been an essential nutrient that assists the immune system in various ways, including acting as an antioxidant to protect healthy cells, promoting immune cell development and function, and creating antibodies. According to epidemiological research, people who are undernourished are more likely to get bacterial, viral, and other diseases. Nutritional epidemiology investigates dietary or nutritional parameters concerning illness prevalence in communities. Nutritional epidemiology results often add to the evidence that provides dietary recommendations for preventing disease and related disorders.

Open Access

Article

Finding and classifying a microfunctional bacterial strain in fermented sourdoughs

Chuanfeng Li, Yuanyuan Zhai, Gailing Wang

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 144 , 2024, DOI: 10.62617/mcb.v21.144

Abstract：

The aim of this study was to examine the variety of Lactic acid bacteria and yeasts found in traditionally fermented sourdough, as well as their functional characteristics. Bengal red agar medium, Potato-based liquid media (PDA) medium, and DeMan, Rogosa and Sharpe (MRS) medium were used in that order to isolate, purify, and preserve Saccharomyces cerevisiae and Lactobacillus lactis. In order to analyze single strand breaks, the isolates underwent DNA extraction, Polymerase Chain Reaction (PCR) amplification, and sequencing techniques. The main lactic acid bacteria in the yeast dough were identified by the experimental results as Enterococcus faecalis, Enterococcus pseudomallei, Enterococcus faecalis, Lactobacillus plantarum, and Lactobacillus casei. Moreover, Lactobacillus plantarum and Enterococcus faecalis were found. Tests for resistance to bile salt, acid, and salt were also conducted. The current study offers a theoretical framework for additional investigation and real-world application of this strain, and it provides an initial understanding of the strain composition of Saccharomyces cerevisiae and Lactobacillus found in traditional fermented meals and doughs.

Open Access

Article

Evaluation on the effect of different time sports training on anti-oxidation ability and anti-aging

Wenhu Li

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 156 , 2024, DOI: 10.62617/mcb.v21.156

Abstract：

It is well known that sports can bring beneficial effects on the human body, and it is always followed by people. However, it is now said that sports training has a certain effect on human anti-oxidation and anti-aging, but there are few sports trainings at different times on the market to combat the effects of oxidation and anti-aging. Based on the above conditions, this paper studied the effects of different times of physical training on anti oxidation ability and anti-aging, and conducted experimental research. Finally, the conclusion was drawn: the effects of different times of physical training on SOD (superoxide dismutase) content in mice was not obvious; the effect of 1 h exercise time on GSH-Px activity was better than that of 0.5 h exercise time and 2 h exercise time; the activity of CAT (catalase) was best enhanced by exercise within 0.5 h; after regular aerobic exercise, the level of free radicals in mice decreased, and antioxidant enzymes played a good role in scavenging free radicals; the content of H 2 O 2 in the body of mice decreased to 19.624 nmol/L after 2 h exercise, indicating that regular exercise for a long time can reduce the content of oxygen free radicals in the body and play a positive role in the human body.

Open Access

Article

Analysis and research on athlete biorhythm and sports injury

Qian Shi, Li'e He

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 211 , 2024, DOI: 10.62617/mcb.v21.211

Abstract：

There is a certain correlation between sports injury and biorhythm status. Finding out the specific stage of the biorhythm can help athletes reduce injuries during training. This paper analyzes the athlete’s biorhythm state through computational principles and biomolecular perspectives, and verifies the reliability of the relationship between the biorhythm state and sports injury. This article takes 132 samples of injured athletes from a university with complete sample records from the Google data analysis platform as the research object. According to the biological rhythm estimation method, the Google data analysis platform is used to calculate and analyze the relationship between the injury period and the biological rhythm of these samples. Then, the biorhythm state of the athlete is evaluated from the calculation principle of biorhythm and the level of biomolecules, and compared with the athlete’s injury situation, so as to guide the athlete’s sports training rhythm. The research results show that the relationship between the biological rhythm and sports injury obtained according to the biological rhythm calculation method has a large error. From the perspective of biomolecules, the rhythm regulator PPAR1 is regulated by unknown factors, and CLOCK is regulated by ribosylation. When the ratio of AMP/ATP is higher than 30%, liver kinase B phosphorylates AMP-activated protein kinase. At this time, the biological rhythm is in the climax period. At this time, people feel comfortable and energetic, and the incidence of sports injuries during training is low.

Open Access

Article

TSPO ligand etifoxine enhances memory reconsolidation in novel object recognition memory

Shuang Zhao, Linlan Yu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 278 , 2024, DOI: 10.62617/mcb.v21.278

Abstract：

Etifoxine is a mixed drug ligand of TSPO and GABA A . It plays an important role in the treatment of anxiety disorders by promoting the synthesis of neurosteroids. Anxiety disorders are closely related to learning and memory. Etifoxine was evaluated in novel object recognition (NOR) task mouse model by injecting etifoxine into the abdominal cavity. However, few studies have investigated the effect of etifoxine on memory reconsolidation. The behavioral results showed that etifoxine-enhanced NOR memory performance when injected into mice 0 h after reactivation rather than following a 6 h delay. Conversely, administering etifoxine 24 h after sampling without reactivation did not affect NOR memory performance. Notably, etifoxine enhances memory performance not because of its effect on nonspecific responses, such as motor activity and exploratory behavior. The transcriptomic results suggested that etifoxine could regulate learning and memory-related expression genes such as CCL5, CSF3R, CXCL1, Fos, ITIH2, LRG1 and RGS1, which enhanced learning and memory in mice. In conclusion, etifoxine can improve memory reconsolidation in mice by regulating memory-related genes in the hippocampus.

Open Access

Article

Long-term dance trainings alter gait; mechanical work and joint kinematics

Xuan Tang, Youngsuk Kim, Chaojie Wu, Sukwon Kim

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 242 , 2024, DOI: 10.62617/mcb.v21.242

Abstract：

Background: Dancers undergo extensive training, resulting in enhanced lower extremity muscle function, flexibility, and stability compared to the general population. However, research on joint loading mechanisms in professional dancers during walking is limited. Objective: This study aimed to investigate the gait characteristics of professional dancers and compare them with non-dancers from a biomechanical perspective. Methods: A comparative gait analysis was performed on 30 dancers (10 each of modern, ballet, and Korean dance) and 10 non-dancers. The study assessed peak joint moment, peak joint power, and joint work at the knee and ankle joints while walking on a flat surface. Results: Ballet group showed longer step cycles (1.30 ± 0.06 s), whereas modern group had shorter cycles (1.11 ± 0.07 s) but higher walking speeds (1.07 ± 0.04 s). Ballet group also had a longer stance phase (64.53% ± 3.46%), while Korean (41.53% ± 4.66%) and modern (41.93% ± 2.95%) groups had larger swing phases. Modern group displayed significantly higher negative ankle joint work (−0.059 ± 0.022 J/kg), ballet (1.49 ± 0.11 Nm/kg) and Korean group (1.53 ± 0.41 Nm/kg) showed higher peak knee joint moments compared to normal group. Conclusion: These findings highlight the distinct gait patterns of dancers, with ballet and Korean dancers showing greater knee joint loading and modern dancers exhibiting unique ankle joint dynamics. Tailored rehabilitation and injury prevention strategies are crucial for their long-term health and performance sustainability.

Open Access

Article

Prevalence musculoskeletal disorders among healthcare practitioners in Taif, Saudi Arabia: A cross-sectional study

Hussain Saleh Ghulam, Ashwag A. Alotaibi, Amr B. Salama, Raee S. Alqhtani, Abdullah M. Alyami, Saeed Al Adal, Hiedar H. Alyami

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 271 , 2024, DOI: 10.62617/mcb.v21.271

Abstract：

Background: Musculoskeletal complaints (MSCs) are a major complaint among Saudi healthcare practitioners. Increased awareness of risk factors may decrease in the prevalence of musculoskeletal disorders. In Taif, Saudi Arabia hospitals, little information is available about the prevalence of musculoskeletal issues and the specific risk factors. Aim: The purpose of this study was to estimate the incidence and factors associated with the development of musculoskeletal disorders among healthcare practitioners in Taif city, Saudi Arabia. Methods: In Taif, Saudi Arabia, a cross-sectional study via a web-based survey was carried out. The survey using Nordic questionnaires for musculoskeletal disorders analysis had been sent to healthcare practitioners at Taif hospitals, including physicians, nurses, lab workers, and other allied medical practitioners, through an email. Categorical and numerical variables were presented by descriptive statistics. Logistic regression analysis to determine the relationship between independent factors and musculoskeletal disorders. Results: 124 participants completed the survey. 54 (43.5%) males and 70 (56.5%) females. 95% and 92% of subjects participating in musculoskeletal symptoms in the last 7 days and 12 months preceding the scan, respectively. lower back pain was the most often reported musculoskeletal symptom by healthcare practitioners (75.8%). Also, in the last 7 days before the survey (67.7%). Neck pain was the second most common musculoskeletal. Females are much more susceptible to lower back pain. Standing for an extended period of time was linked to lower back pain. Neck pain has been linked to excessive bending and twisting, standing for long period during regular practice, and serving large number of patients >15 patients/day. 19.4% of participants were forced to take sick leave for reasons related to MSCs. 66% of the participants recorded that they had pain after starting work, 35% received a medical attention, while 54% of them took medication to relieve pain. Conclusion: MSCs are more common in healthcare practitioners at Taif city, Saudi Arabia, with the low back and neck being the most typically afflicted. MSCs are more common in physiotherapists then nurses. Females more affected than males, age between 31 to 40 years. The most commonly reported work risk factors for the development of MSCs were standing for long periods of time, working in awkward or uncomfortable place of work, and serving an excessive number of patients in a day. Physical exercise can reduce the risk of MSCs in healthcare practitioners.

Open Access

Article

Analysis of artificial intelligence medical treatment for closed muscle skin nerve injury caused by aerobics training

Chengli Mu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 257 , 2024, DOI: 10.62617/mcb.v21.257

Abstract：

In aerobics training, closed myocutaneous nerve damage needs to be paid attention to, especially high-intensity training may cause minor damage to muscles and nerves. With the help of AI medical technology and the understanding of molecular and cellular biomechanics, we can more accurately explore the mechanism of injury, such as the effects of nerve tensile stress and microenvironment changes on nerve regeneration. This helps to develop scientific rehabilitation methods, such as AI-assisted personalized training, neural regeneration technology, and real-time monitoring of training intensity to speed up athletes’ rehabilitation and reduce the risk of future injuries. Purpose: Aerobics training is very strict and requires high physical fitness of dancers. During long-term training, dancers can easily cause closed musculocutaneous nerve injury. Traditional medicine is difficult to guarantee the treatment effect of patients with musculocutaneous nerve injury. The use of artificial intelligence medicine for closed musculocutaneous nerve injury treatment can improve the treatment effect of aerobics training induced closed musculocutaneous nerve injury. Method: This article utilized artificial intelligence medicine for the treatment of musculocutaneous nerve injury, and used artificial intelligence technology to analyze patient imaging and other data to assist doctors in accurate diagnosis. Utilize intelligent algorithms to predict medication plans, reduce medication errors, and intelligently adjust the course of treatment based on the patient’s condition. In artificial intelligence healthcare, high-quality online medical services can be created through intelligent technology, providing convenient medical consultation for patients. Result: This article selected 200 patients with musculocutaneous nerve injury caused by aerobics training for grouping experiments. The average diagnostic accuracy of traditional medicine and artificial intelligence medicine were 84.2% and 95.6%, respectively. Conclusion: Artificial intelligence medicine can achieve medical informatization and intelligently analyze patients’ medical information, which helps to improve the accuracy of medical diagnosis for aerobics training injuries.

Open Access

Article

Protein nutrition metabolism monitoring of basketball players based on intelligent biosensor

Yu Liu, Jia Xu, Xiaoying Li

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 184 , 2024, DOI: 10.62617/mcb.v21.184

Abstract：

With the continuous development of biological detection technology and semiconductors, human health monitoring and intervention methods will advance rapidly at the molecular level. As the lowest level hardware technology, biosensors are developing towards micro precision, adaptation, and self-calibration in terms of technological development trends. In order to achieve good sports performance, athletes must have sufficient physical fitness as the basis for creating high-level sports performance. Protein nutrition is indispensable for athletes, so it is necessary to monitor its nutrition and supplement it in time. This paper proposed a monitoring method based on digital broadcasting system to monitor protein nutrition metabolism, so as to understand the protein metabolism of basketball players in real time, which was very meaningful to improve the physical function of athletes. The experimental results in this paper showed that the muscle mass, contraction speed, training effect and immunity of group A were 30, 37, 33 and 42 points, respectively. The muscle mass, contraction speed, training effect and immunity of group B were 65, 57, 62 and 55 points, respectively. It can be found that the muscle mass, contraction speed, training effect and immunity of group A are not as good as those of group B, indicating that protein can improve the physiological needs of athletes and improve the efficiency of training.

Open Access

Article

Effects of mobile phone task engagement on gait and dynamic stability during stair ascent and descent

Qingling Qu, Chaojie Wu, Yanjia Xu, Yang Lu, Jinqian Zhang, Sukwon Kim

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 243 , 2024, DOI: 10.62617/mcb.v21.243

Abstract：

Mobile devices, including smartphones, have become closely integrated into our daily lives. However, using a phone while walking may lead to falls due to cognitive distraction. In comparison to walking on level ground, stair ambulation represents one of the most challenging and hazardous forms of movement. It is imperative to explore the impact of mobile phone task engagement on walking patterns and stability during stair ascent and descent. Methods: Recruited 16 young participants for our study, where they were required to perform single tasks (ascending and descending stairs) and dual tasks (using a smartphone while ascending and descending stairs). During these activities, we collected data on gait parameters and the range of motion (RoM) of the center of mass (CoM) in the anterior-posterior and medial-lateral directions. Paired-sample t-tests were employed for data analysis. Results: Mobile task engagement resulted in a decrease in walking speed ( p < 0.001), a decrease in gait cycle ( p < 0.001), and an increase in task completion time ( p < 0.001). During stair ascent, there was a reduction in double support ratio ( p = 0.010) and an increase in single support ratio ( p < 0.001). The stability of the center of mass (CoM) in the anterior-posterior direction increased during task execution ( p < 0.001), while the stability in the medial-lateral direction decreased (ascending stairs p = 0.041; descending stairs p = 0.024). Conclusion: These findings indicate that engaging in mobile tasks affects the gait parameters during stair ascent and descent. However, the impact on dynamic stability is not entirely negative; instead, it has a positive effect on the dynamic stability of the CoM in the anterior-posterior direction. This suggests that healthy young participants may adopt a more stable gait pattern while performing dual tasks.

Open Access

Review

Biomechanical comparison of sagittal vertebral column bend change induced by backpacks in school-aged children and adolescents: Systematic review and network meta-analysis

Mengchen Ji, Datao Xu, Ee-Chon Teo, Julien S. Baker, Jiao Li, Yaodong Gu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 71 , 2024, DOI: 10.62617/mcb.v21.71

Abstract：

Background: Studies have investigated the effects of backpacks and their loadings on the physiological spinal curvature changes in school-aged children and adolescents across different anatomical planes of motion. However, the dose-response relationship between varying backpack weights and changes in spinal physiological curvature remains unclear due to the uniformity of study protocols. Objective: The purpose of this systematic review is to explore the sagittal vertebral column bend change induced by backpacks in school-aged children and adolescents. Methods: Three relevant authoritative databases (PubMed, Scopus, and Web of Science) were searched. Indicators of vertebral column bend in the sagittal plane were selected as the outcomes. In the data organization phase, the extracted data were standardized and pooled together by the Aggregate Data Drug Information System. The Cochrane Risk of Bias Assessment Tool and the website of Confidence in Network Meta-Analysis were used to evaluate the risk of bias and confidence ratings of results. Results: 4 trials were included within 244 potential studies. The results indicated a potential dose-effect relationship between backpack weight and sagittal vertebral column bend change. The findings suggested a possible dose-response relationship between backpack weight and sagittal vertebral column bend change, as evidenced by a sequential reduction in the likelihood of causing the most negative effect on sagittal vertebral column bend in 4 backpack scenarios: without backpack, <10%, 10–20%, and >20% of body weight, with probabilities of 0.61, 0.25, 0.13, and 0.01, respectively. The results also indicated that there were no significant differences in the effects on the sagittal vertebral column bend between the four backpack scenarios, in pairwise comparisons. Additionally, the results from the risk of bias assessment revealed that this review suffers from a lack of inclusion of high-quality studies. Moreover, the confidence rating indicated that both direct and indirect comparisons in the network meta-analysis were rated as “Very Low” in confidence rating induced by CINeMA. Conclusion: This review suggests a potential dose-effect relationship between backpack weight and sagittal vertebral column bend, with no significant differences across each head-to-head comparison.

Open Access

Review

Effects of exercise for older women with osteoporosis: A systematic review

Lindomar Mineiro, Bianca Simone Zeigelboim, Christiano Francisco dos Santos, Michéli Rodrigues da Rosa, Silvia Valderramas, Anna Raquel Silveira Gomes

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 117 , 2024, DOI: 10.62617/mcb.v21.117

Abstract：

Aim: This study aimed to systematically review the existing evidence on the effects of physical exercise on muscle strength, balance, risk of falls, and fractures for older women with osteoporosis. Methods: MEDLINE (PubMed), Cochrane Central Register of Clinical Trials, Web of Science, PEDro, and Lilacs were searched, and the methodological qualities were measured using the Assessing risk of bias—Cochrane Collaboration’s tool scale. Results: Eight controlled clinical trials were included. Conclusion: Multicomponent physical exercise, not only balance, may be considered as an intervention for older women with osteoporosis due to its effects on balance, strength, and functional outcomes. Future new randomized controlled trials should focus on parameters to prescribe physical exercise as the progression of resistance and its effects on skeletal muscle function, balance, strength, risk, and number of falls and fractures for older women with osteoporosis.

Open Access

Review

Evolving therapeutic landscape of EGFR-TKIs in NSCLC

Chenfeina Feng, Rendong Li, Xiaolei Li, Xinping Xu

Molecular & Cellular Biomechanics, Vol.21, No., 21(), 230 , 2024, DOI: 10.62617/mcb.v21.230

Abstract：

Lung cancer is one of the most common cancers worldwide and the leading cause of cancer-related death. Over the past two decades, the classification of lung cancer has significantly evolved. Today, non-small cell lung cancer (NSCLC) consists of various molecular oncogenic subsets that impact both prognosis and disease management. EGFR is the first targeted oncogenic alteration identified in 2004. Since then, nearly two decades of research have enabled scientists to understand its biological function and to identify and often overcome the molecular basis of acquired resistance mechanisms to EGFR-TKIs. This article reviews the role of EGFR in NSCLC and the research progress of EGFR-TKIs in patients with EGFR mutant lung cancer, discussing potential treatment strategies for drug resistance to improve survival and achieve precision drug use.