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分析和研究重复性举重任务引起的局部肌肉疲劳的生物标志物。

Analysis and study on biomarkers of local muscle fatigue caused by repetitive lifting task.

机构信息

Occupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China.

National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.

出版信息

BMC Musculoskelet Disord. 2024 Aug 23;25(1):660. doi: 10.1186/s12891-024-07783-6.

Abstract

BACKGROUND

Work-related musculoskeletal disorders (WMSDs) show a rapid growth trend. It has brought a huge economic burden to the society and become a serious occupational health problem that needs to be solved urgently. This study aimed to analyze the local muscle response under continuous ergonomic load, screen sensitive fatigue-related biomarkers and provide data support for the early prevention of local muscle damage and the exploration of early warning indicators.

METHODS

Thirteen male college student volunteers were recruited to perform simulated repetitive manual lifting tasks in the laboratory. The lifting task was designed for 4 periods which lasted for 12 min in each, and then paused for 3 min for sampling. Local muscle fatigue is assesed by the Rating of perceived exertion (RPE) and the Joint analysis of sEMG spectrum and amplitude (JASA). Elbow venous blood was collected and 14 kinds of biomarkers were analyzed, which included Metabolic markers Ammonia (AMM), Lactic acid (LAC), Creatine kinase (CK), Lactate dehydrogenase (LDH), Cartilage oligomeric matrix protein (COMP), C-telopeptide of collagen I and II (CTX-I, CTX-II) and Calcium ion (Ca); Oxidative stress marker Glutathione (GSH); Inflammatory markers C-reaction protein (CRP), Prostaglandin E2 (PG-E2), Interleukin-6 (IL-6) and Tumor necrosis factor α (TNF-α); Pain marker Neuropeptide Y (NPY). Repeated measures analysis of variance (Repeated ANOVA), linear regression analysis, t-test and spearman correlation analysis were used to analyze the data.

RESULTS

Both subjective and objective fatigue appeared at the same period. Serum AMM, LAC, CK, LDH, COMP, CTX-II, Ca and NPY after fatigue were significantly higher than those before fatigue (p < 0.05). There was a certain degree of correlation between the markers with statistical differences before and after fatigue.

CONCLUSIONS

Metabolic markers (serum AMM, LAC, CK, LDH, COMP, CTX-II, Ca) and pain markers (serum NPY) can reflect local muscle fatigue to a certain extent in repetitive manual lifting tasks. It is necessary to further expand the research on fatigue-related biomarkers in different types of subjects and jobs in the future.

摘要

背景

与工作相关的肌肉骨骼疾病(WMSD)呈现快速增长趋势。这给社会带来了巨大的经济负担,成为亟待解决的严重职业健康问题。本研究旨在分析连续人体工程学负荷下的局部肌肉反应,筛选敏感的与疲劳相关的生物标志物,为局部肌肉损伤的早期预防和预警指标的探索提供数据支持。

方法

招募 13 名男性大学生志愿者在实验室中进行模拟重复手动举重任务。该举重任务设计为 4 个周期,每个周期持续 12 分钟,然后暂停 3 分钟进行采样。局部肌肉疲劳通过主观用力感觉等级(RPE)和肌电图频谱和幅度联合分析(JASA)进行评估。采集肘部静脉血,分析 14 种生物标志物,包括代谢标志物氨(AMM)、乳酸(LAC)、肌酸激酶(CK)、乳酸脱氢酶(LDH)、软骨寡聚基质蛋白(COMP)、I 型和 II 型胶原 C 端肽(CTX-I、CTX-II)和钙离子(Ca);氧化应激标志物谷胱甘肽(GSH);炎症标志物 C 反应蛋白(CRP)、前列腺素 E2(PG-E2)、白细胞介素-6(IL-6)和肿瘤坏死因子-α(TNF-α);疼痛标志物神经肽 Y(NPY)。采用重复测量方差分析(Repeated ANOVA)、线性回归分析、t 检验和 Spearman 相关分析对数据进行分析。

结果

主观和客观疲劳同时出现。疲劳后血清 AMM、LAC、CK、LDH、COMP、CTX-II、Ca 和 NPY 明显高于疲劳前(p<0.05)。疲劳前后具有统计学差异的标志物之间存在一定程度的相关性。

结论

在重复手动举重任务中,代谢标志物(血清 AMM、LAC、CK、LDH、COMP、CTX-II、Ca)和疼痛标志物(血清 NPY)在一定程度上可以反映局部肌肉疲劳。未来有必要在不同类型的受试者和职业中进一步扩大对与疲劳相关的生物标志物的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4891/11342632/df53695b6b1e/12891_2024_7783_Fig1_HTML.jpg

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