生物标志物在诊断和筛查肌肉减少症中的应用前景
Application Prospects of Biomarkers in the Diagnosis and Screening of Sarcopenia
DOI: 10.12677/ACM.2023.1381818, PDF,   
作者: 李洪安:青海大学临床医学院,青海 西宁;王 叶*:青海省人民医院内分泌科,青海 西宁
关键词: 肌肉减少症诊断筛查工具生物标志物Sarcopenia Diagnosis Screening Tools Biomarkers
摘要: 肌肉减少症(简称肌少症)是一种衰老相关的疾病,表现为年龄相关的骨骼肌质量和功能的衰退。肌少症缺乏特异的临床表现,轻症较难发现,一旦出现衰弱、跌倒等不良事件,通常伴随着显著的肌肉质量下降及功能减退。因此选择简单有效的工具,早期识别肌少症进行干预,有利于延缓疾病的发生和发展,维护患者生活质量。本文通过总结相关国内外文献,对肌少症的现有诊断标准及筛查工具进行分析和比较,重点探讨目前诊筛工具的优势与不足,并对肌少症生物标志物进行分析总结,以期为肌少症筛查工具的选择及准确评估提供思考。生物标志物以其独有的特点,在肌少症的筛查和诊断中可能具有潜在价值。
Abstract: Sarcopenia is an age-related disease characterized by age-related decline in skeletal muscle mass and function. Sarcopenia lacks specific clinical manifestations and is difficult to detect in mild cases. Once adverse events such as weakness and falls occur, it is usually accompanied by significant loss of muscle mass and function. Therefore, the selection of simple and effective tools and early identi-fication of sarcopenia for intervention are conducive to delaying the occurrence and development of the disease and maintaining the quality of life of patients. This article summarizes the relevant do-mestic and foreign literature, analyzes and compares the existing diagnostic criteria and screening tools for sarcopenia, focuses on the advantages and disadvantages of the current diagnostic and screening tools, and analyzes and summarizes the biomarkers of sarcopenia, in order to provide thinking for the selection and accurate evaluation of screening tools for sarcopenia. With their unique characteristics, biomarkers may have potential value in the screening and diagnosis of sar-copenia.
文章引用:李洪安, 王叶. 生物标志物在诊断和筛查肌肉减少症中的应用前景[J]. 临床医学进展, 2023, 13(8): 12982-12989. https://doi.org/10.12677/ACM.2023.1381818

参考文献

[1] Critchley, M. (1931) The Neurology of Old Age. The Lancet, 1, 1221-1230. [Google Scholar] [CrossRef
[2] Forbes, G.B. and Halloran, E. (1976) The Adult Decline in Lean Body Mass. Human Biology, 48, 161-173.
[3] Rosenberg, I.H. (1997) Sarcopenia: Origins and Clinical Rele-vance. The Journal of Nutrition, 127, 990s-991s. [Google Scholar] [CrossRef
[4] Cruz-Jentoft, A.J., Baeyens, J.P., Bauer, J.M., Boirie, Y., Cederholm, T., Landi, F., Martin, F.C., et al. (2010) Sarcopenia: European Consensus on Definition and Diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing, 39, 412-423. [Google Scholar] [CrossRef] [PubMed]
[5] Chen, L.-K., Liu, L.-K., Woo, J., Assantachai, P., Auyeung, T.-W., Bahyah, K.S., et al. (2014) Sarcopenia in Asia: Consensus Report of the Asian Working Group for Sarcopenia. Journal of the American Medical Directors Association, 15, 95-101. [Google Scholar] [CrossRef] [PubMed]
[6] Sillanpaa, E., Cheng, S., Hakkinen, K., Finni, T., Walker, S., Pe-sola, A., et al. (2014) Body Composition in 18- to 88-Year-Old Adults—Comparison of Multifrequency Bioimpedance and Dual-Energy X-Ray Absorptiometry. Obesity (Silver Spring), 22, 101-109. [Google Scholar] [CrossRef] [PubMed]
[7] Chen, L.-K., Woo, J., Assantachai, P., Auyeung, T.-W., Chou, M.-Y., Iiji-ma, K., et al. (2020) Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. Journal of the American Medical Directors Association, 21, 300-307.e2. [Google Scholar] [CrossRef] [PubMed]
[8] Malmstrom, T.K. and Morley, J.E. (2013) SARC-F: A Simple Questionnaire to Rapidly Diagnose Sarcopenia. Journal of the American Medical Directors Association, 14, 531-532. [Google Scholar] [CrossRef] [PubMed]
[9] Ishii, S., Tanaka, T., Shibasaki, K., Ouchi, Y., Kikutani, T., Hi-gashiguchi, T., et al. (2014) Development of a Simple Screening Test for Sarcopenia in Older Adults. Geriatrics & Ger-ontology International, 14, 93-101. [Google Scholar] [CrossRef] [PubMed]
[10] Barbosa-Silva, T.G., Menezes, A.M.B., Bielemann, R.M., Malmstrom, T.K. and Gonzalez, M.C. (2016) Enhancing SARC-F: Improving Sarcopenia Screening in the Clinical Practice. Journal of the American Medical Directors Association, 17, 1136-1141. [Google Scholar] [CrossRef] [PubMed]
[11] Tanaka, T., Takahashi, K., Akishita, M., Tsuji, T. and Iijima, K. (2018) “Yubi-Wakka” (Finger-Ring) Test: A Practical Self-Screening Method for Sarcopenia, and a Predictor of Disability and Mortality among Japanese Community-Dwelling Older Adults. Geriatrics & Gerontology International, 18, 224-232. [Google Scholar] [CrossRef] [PubMed]
[12] Rossi, A.P., Micciolo, R., Rubele, S., Fantin, F., Caliari, C., Zoico, E., et al. (2017) Assessing the Risk of Sarcopenia in the El-derly: The Mini Sarcopenia Risk Assessment (MSRA) Questionnaire. The Journal of Nutrition, Health Aging, 21, 743-749. [Google Scholar] [CrossRef] [PubMed]
[13] O’Sullivan, D., O’Regan, N.A. and Timmons, S. (2016) Validity and Reliability of the 6-Item Cognitive Impairment Test for Screening Cognitive Impairment: A Review. Demen-tia and Geriatric Cognitive Disorders, 42, 42-49. [Google Scholar] [CrossRef] [PubMed]
[14] Curcio, F., Ferro, G., Basile, C., Liguori, I., Parrella, P., Pirozzi, F., et al. (2016) Biomarkers in Sarcopenia: A Multifactorial Approach. Experimental Gerontology, 85, 1-8. [Google Scholar] [CrossRef] [PubMed]
[15] Clark, R.V., Walker, A.C., O’Connor-Semmes, R.L., Leonard, M.S., Miller, R.R., Stimpson, S.A., et al. (2014) Total Body Skeletal Muscle Mass: Estimation by Creatine (methyl-d3) Dilution in Humans. Journal of Applied Physiology (1985), 116, 1605-1613. [Google Scholar] [CrossRef] [PubMed]
[16] Casati, M., Costa, A.S., Capitanio, D., Ponzoni, L., Ferri, E., Agostini, S. and Lori, E. (2019) The Biological Foundations of Sarcopenia: Established and Promising Markers. Fron-tiers in Medicine (Lausanne), 6, Article No. 184. [Google Scholar] [CrossRef] [PubMed]
[17] Monti, E., Sarto, F., Sartori, R., Zanchettin, G., Lofler, S., Kern, H., Narici, M.V. and Zampieri, S. (2023) C-Terminal Agrin Fragment as a Biomarker of Muscle Wasting and Weakness: A Narrative Review. Journal of Cachexia, Sarcopenia and Muscle, 14, 730-744. [Google Scholar] [CrossRef] [PubMed]
[18] Baczek, J., Silkiewicz, M. and Wojszel, Z.B. (2020) Myostatin as a Bi-omarker of Muscle Wasting and Other Pathologies-State of the Art and Knowledge Gaps. Nutrients, 12, Article No. 2401. [Google Scholar] [CrossRef] [PubMed]
[19] De Paepe, B. (2022) The Cytokine Growth Differentiation Factor-15 and Skeletal Muscle Health: Portrait of an Emerging Widely Applicable Disease Biomarker. International Journal of Molec-ular Sciences, 23, Article No. 13180. [Google Scholar] [CrossRef] [PubMed]
[20] Du, Y., Xu, C., Shi, H., Jiang, X., Tang, W., Wu, X., et al. (2021) Serum Concentrations of Oxytocin, DHEA and Follistatin Are Associated with Osteoporosis or Sarcopenia In commu-nity-Dwelling Postmenopausal Women. BMC Geriatrics, 21, Article No. 542. [Google Scholar] [CrossRef] [PubMed]
[21] Chang, J.S., Kim, T.H., Nguyen, T.T., Park, K.S., Kim, N. and Kong, I.D. (2017) Circulating Irisin Levels as a Predictive Biomarker for Sarcopenia: A Cross-Sectional Communi-ty-Based Study. Geriatrics & Gerontology International, 17, 2266-2273. [Google Scholar] [CrossRef] [PubMed]
[22] Paris, M.T., Bell, K.E. and Mourtzakis, M. (2020) Myokines and Adi-pokines in Sarcopenia: Understanding Cross-Talk between Skeletal Muscle and Adipose Tissue and the Role of Exercise. Current Opinion in Pharmacology, 52, 61-66. [Google Scholar] [CrossRef] [PubMed]
[23] Walowski, C.O., Herpich, C., Enderle, J., Braun, W., Both, M., Hasler, M., et al. (2023) Analysis of the Adiponectin Paradox in Healthy Older People. Journal of Cachexia, Sarcopenia and Muscle, 14, 270-278. [Google Scholar] [CrossRef] [PubMed]
[24] Schweighofer, N., Haudum, C.W., Trummer, O., Lind, A., Kolesnik, E., Mursic, I., et al. (2022) Dp-ucMGP as a Biomarker in Sarcopenia. Nutrients, 14, Article No. 5400. [Google Scholar] [CrossRef] [PubMed]
[25] Lin, W.J., Lee, W.J., Peng, L.N., Huang, Y.L., Tung, C.Y., Lin, C.H., Tsai, T.F. and Chen, L.K. (2023) Anti-Tumor Necrosis Factor-Alpha Is Potentially Better than Tumor Necrosis Factor-Alpha as the Biomarker for Sarcopenia: Results from the I-Lan Longitudinal Aging Study. Experimental Geron-tology, 172, Article ID: 112053. [Google Scholar] [CrossRef] [PubMed]
[26] Habib, S.S., Alkahtani, S., Alhussain, M. and Aljuhani, O. (2020) Sarcopenia Coexisting with High Adiposity Exacerbates Insulin Resistance and Dyslipidemia in Saudi Adult Men. Dia-betes, Metabolic Syndrome and Obesity, 13, 3089-3097. [Google Scholar] [CrossRef
[27] Silva-Fhon, J.R., Rojas-Huayta, V.M., Aparco-Balboa, J.P., Cespedes-Panduro, B. and Partezani-Rodrigues, R.A. (2021) Sarcopenia and Blood Albumin: A Systematic Review with Meta-Analysis. Biomedica, 41, 590-603. [Google Scholar] [CrossRef] [PubMed]
[28] Tseng, S.H., Lee, W.J., Peng, L.N., Lin, M.H. and Chen, L.K. (2021) Associations between Hemoglobin Levels and Sarcopenia and Its Components: Results from the I-Lan Longitudinal Study. Experimental Gerontology, 150, Article ID: 111379. [Google Scholar] [CrossRef] [PubMed]
[29] Nakajima, H., Okada, H., Kobayashi, A., Takahashi, F., Okamura, T., Hashimoto, Y., et al. (2023) Leucine and Glutamic Acid as a Biomarker of Sarcopenic Risk in Japanese People with Type 2 Diabetes. Nutrients, 15, Article No. 2400. [Google Scholar] [CrossRef] [PubMed]
[30] Osawa, Y., Candia, J., Abe, Y., Tajima, T., Oguma, Y. and Arai, Y. (2023) Plasma Amino Acid Signature for Sarcopenic Phenotypes in Community-Dwelling Octogenarians: Results from the Kawasaki Aging Wellbeing Project. Experimental Gerontology, 178, Article ID: 112230. [Google Scholar] [CrossRef] [PubMed]
[31] Sanayama, H., Ito, K., Ookawara, S., Uemura, T., Sakiyama, Y., Sugawara, H., et al. (2023) Whole Blood Spermine/Spermidine Ratio as a New Indicator of Sarcopenia Status in Older Adults. Biomedicines, 11, Article No. 1403. [Google Scholar] [CrossRef] [PubMed]
[32] Hata, R., Miyamoto, K., Abe, Y., Sasaki, T., Oguma, Y., Ta-jima, T., et al. (2023) Osteoporosis and Sarcopenia Are Associated with Each Other and Reduced IGF1 Levels Are a Risk for both Diseases in the Very Old Elderly. Bone, 166, Article ID: 116570. [Google Scholar] [CrossRef] [PubMed]
[33] Ghafouri-Fard, S., Askari, A., Mahmud Hussen, B., Taheri, M. and Kiani, A. (2023) Sarcopenia and Noncoding RNAs: A Comprehensive Review. Journal of Cellular Physiology, 238, 1416-1430. [Google Scholar] [CrossRef] [PubMed]
[34] Furutani, M., Suganuma, M., Akiyama, S., Mitsumori, R., Takemura, M., Matsui, Y., et al. (2023) RNA-Sequencing Analysis Identification of Potential Biomarkers for Diagnosis of Sarcopenia. Journals of Gerontology—Series A Biological Sciences and Medical Sciences, glad150. [Google Scholar] [CrossRef] [PubMed]
[35] Lin, S., Ling, M., Chen, C., Cai, X., Yang, F. and Fan, Y. (2022) Screening Potential Diagnostic Biomarkers for Age-Related Sarcopenia in the Elderly Population by WGCNA and LASSO. BioMed Research International, 2022, Article ID: 7483911. [Google Scholar] [CrossRef] [PubMed]
[36] Wu, J., Cao, L., Wang, J., Wang, Y., Hao, H. and Huang, L. (2022) Characterization of Serum Protein Expression Profiles in the Early Sarcopenia Older Adults with Low Grip Strength: A Cross-Sectional Study. BMC Musculoskeletal Disorders, 23, Article No. 894. [Google Scholar] [CrossRef] [PubMed]
[37] D’Amico, F., Barone, M., Brigidi, P. and Turroni, S. (2023) Gut Microbiota in Relation to Frailty and Clinical Outcomes. Current Opinion in Clinical Nutrition & Metabolic Care, 26, 219-225. [Google Scholar] [CrossRef
[38] Kwak, J.Y., Hwang, H., Kim, S.K., Choi, J.Y., Lee, S.M., Bang, H., et al. (2018) Prediction of Sarcopenia Using a Combination of Multiple Serum Biomarkers. Scientific Reports, 8, Article No. 8574. [Google Scholar] [CrossRef] [PubMed]