Identification of traumatic acid as a potential plasma biomarker for sarcopenia using a metabolomics‐based approach
Background The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elder...
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Published in | Journal of cachexia, sarcopenia and muscle Vol. 13; no. 1; pp. 276 - 286 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
John Wiley & Sons, Inc
01.02.2022
John Wiley and Sons Inc Wiley |
Subjects | |
Online Access | Get full text |
ISSN | 2190-5991 2190-6009 2190-6009 |
DOI | 10.1002/jcsm.12895 |
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Abstract | Background
The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age).
Methods
Of the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor‐α, C‐reactive protein, irisin, and growth differentiation factor 15 (GDF‐15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites.
Results
Seventy‐two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67–88) and 81.5 (range: 67–87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia‐related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter‐quartile range, IQR: 491.5–664.5) vs. 430.0 (IQR: 261.0–599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5–21.7), 21.1 (IQR: 16.0–25.8), and 24.3 (IQR: 18.0–29.5) ppb in younger adults [age range: 23–37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF‐15, a recognized sarcopenia‐related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF‐15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease‐simplify‐glomerular filtration rate (r = −0.50, P < 0.0001). Similarly, plasma GDF‐15 concentrations were associated with these factors.
Conclusions
Traumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms. |
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AbstractList | The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age).BACKGROUNDThe pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age).Of the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor-α, C-reactive protein, irisin, and growth differentiation factor 15 (GDF-15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites.METHODSOf the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor-α, C-reactive protein, irisin, and growth differentiation factor 15 (GDF-15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites.Seventy-two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67-88) and 81.5 (range: 67-87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia-related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter-quartile range, IQR: 491.5-664.5) vs. 430.0 (IQR: 261.0-599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5-21.7), 21.1 (IQR: 16.0-25.8), and 24.3 (IQR: 18.0-29.5) ppb in younger adults [age range: 23-37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF-15, a recognized sarcopenia-related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF-15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease-simplify-glomerular filtration rate (r = -0.50, P < 0.0001). Similarly, plasma GDF-15 concentrations were associated with these factors.RESULTSSeventy-two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67-88) and 81.5 (range: 67-87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia-related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter-quartile range, IQR: 491.5-664.5) vs. 430.0 (IQR: 261.0-599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5-21.7), 21.1 (IQR: 16.0-25.8), and 24.3 (IQR: 18.0-29.5) ppb in younger adults [age range: 23-37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF-15, a recognized sarcopenia-related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF-15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease-simplify-glomerular filtration rate (r = -0.50, P < 0.0001). Similarly, plasma GDF-15 concentrations were associated with these factors.Traumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms.CONCLUSIONSTraumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms. Abstract Background The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age). Methods Of the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor‐α, C‐reactive protein, irisin, and growth differentiation factor 15 (GDF‐15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites. Results Seventy‐two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67–88) and 81.5 (range: 67–87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia‐related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter‐quartile range, IQR: 491.5–664.5) vs. 430.0 (IQR: 261.0–599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5–21.7), 21.1 (IQR: 16.0–25.8), and 24.3 (IQR: 18.0–29.5) ppb in younger adults [age range: 23–37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF‐15, a recognized sarcopenia‐related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF‐15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease‐simplify‐glomerular filtration rate (r = −0.50, P < 0.0001). Similarly, plasma GDF‐15 concentrations were associated with these factors. Conclusions Traumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms. BackgroundThe pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age).MethodsOf the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor-α, C-reactive protein, irisin, and growth differentiation factor 15 (GDF-15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites.ResultsSeventy-two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67–88) and 81.5 (range: 67–87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia-related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter-quartile range, IQR: 491.5–664.5) vs. 430.0 (IQR: 261.0–599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5–21.7), 21.1 (IQR: 16.0–25.8), and 24.3 (IQR: 18.0–29.5) ppb in younger adults [age range: 23–37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF-15, a recognized sarcopenia-related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF-15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease-simplify-glomerular filtration rate (r = −0.50, P < 0.0001). Similarly, plasma GDF-15 concentrations were associated with these factors.ConclusionsTraumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms. The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age). Of the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor-α, C-reactive protein, irisin, and growth differentiation factor 15 (GDF-15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites. Seventy-two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67-88) and 81.5 (range: 67-87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia-related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter-quartile range, IQR: 491.5-664.5) vs. 430.0 (IQR: 261.0-599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5-21.7), 21.1 (IQR: 16.0-25.8), and 24.3 (IQR: 18.0-29.5) ppb in younger adults [age range: 23-37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF-15, a recognized sarcopenia-related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF-15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease-simplify-glomerular filtration rate (r = -0.50, P < 0.0001). Similarly, plasma GDF-15 concentrations were associated with these factors. Traumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms. Background The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age). Methods Of the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor‐α, C‐reactive protein, irisin, and growth differentiation factor 15 (GDF‐15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites. Results Seventy‐two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67–88) and 81.5 (range: 67–87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia‐related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter‐quartile range, IQR: 491.5–664.5) vs. 430.0 (IQR: 261.0–599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5–21.7), 21.1 (IQR: 16.0–25.8), and 24.3 (IQR: 18.0–29.5) ppb in younger adults [age range: 23–37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF‐15, a recognized sarcopenia‐related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF‐15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease‐simplify‐glomerular filtration rate (r = −0.50, P < 0.0001). Similarly, plasma GDF‐15 concentrations were associated with these factors. Conclusions Traumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms. |
Author | Tsai, Jaw‐Shiun Chang, Chin‐Hao Chen, Chin‐Ying Chen, Ching‐Yu Chen, Guan‐Yuan Tseng, Y. Jane Wang, San‐Yuan Wen, Chiung‐Jung Kuo, Ching‐Hua |
AuthorAffiliation | 8 School of Pharmacy, College of Medicine National Taiwan University Taipei Taiwan 1 Department of Family Medicine National Taiwan University Hospital, National Taiwan University Taipei Taiwan 2 Department of Family Medicine, College of Medicine National Taiwan University Taipei Taiwan 9 Department of Pharmacy National Taiwan University Hospital, National Taiwan University Taipei Taiwan 3 Master Program in Clinical Genomics and Proteomics, College of Pharmacy Taipei Medical University Taipei Taiwan 5 Department of Geriatrics and Gerontology National Taiwan University Hospital Taipei Taiwan 10 Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan 4 Department of Medical Research National Taiwan University Hospital Taipei Taiwan 6 Department and Graduate Institute of Forensic Medicine, College of Medicine National Taiwan University Taipei Taiwan 7 The Metabolomics Core Laboratory, Center of Genomic Medicine National Taiwan University Taipei Taiwan 11 G |
AuthorAffiliation_xml | – name: 2 Department of Family Medicine, College of Medicine National Taiwan University Taipei Taiwan – name: 4 Department of Medical Research National Taiwan University Hospital Taipei Taiwan – name: 8 School of Pharmacy, College of Medicine National Taiwan University Taipei Taiwan – name: 5 Department of Geriatrics and Gerontology National Taiwan University Hospital Taipei Taiwan – name: 3 Master Program in Clinical Genomics and Proteomics, College of Pharmacy Taipei Medical University Taipei Taiwan – name: 11 Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan – name: 9 Department of Pharmacy National Taiwan University Hospital, National Taiwan University Taipei Taiwan – name: 1 Department of Family Medicine National Taiwan University Hospital, National Taiwan University Taipei Taiwan – name: 6 Department and Graduate Institute of Forensic Medicine, College of Medicine National Taiwan University Taipei Taiwan – name: 7 The Metabolomics Core Laboratory, Center of Genomic Medicine National Taiwan University Taipei Taiwan – name: 10 Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan |
Author_xml | – sequence: 1 givenname: Jaw‐Shiun orcidid: 0000-0002-5227-8894 surname: Tsai fullname: Tsai, Jaw‐Shiun email: jawshiun@ntu.edu.tw organization: National Taiwan University – sequence: 2 givenname: San‐Yuan surname: Wang fullname: Wang, San‐Yuan organization: Taipei Medical University – sequence: 3 givenname: Chin‐Hao surname: Chang fullname: Chang, Chin‐Hao organization: National Taiwan University Hospital – sequence: 4 givenname: Chin‐Ying surname: Chen fullname: Chen, Chin‐Ying organization: National Taiwan University – sequence: 5 givenname: Chiung‐Jung surname: Wen fullname: Wen, Chiung‐Jung organization: National Taiwan University Hospital – sequence: 6 givenname: Guan‐Yuan surname: Chen fullname: Chen, Guan‐Yuan organization: National Taiwan University – sequence: 7 givenname: Ching‐Hua surname: Kuo fullname: Kuo, Ching‐Hua organization: National Taiwan University Hospital, National Taiwan University – sequence: 8 givenname: Y. Jane surname: Tseng fullname: Tseng, Y. Jane organization: National Taiwan University – sequence: 9 givenname: Ching‐Yu surname: Chen fullname: Chen, Ching‐Yu organization: National Taiwan University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34939349$$D View this record in MEDLINE/PubMed |
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Copyright | 2021 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders. 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Keywords | Metabolomics Sarcopenia Traumatic acid Elderly |
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Snippet | Background
The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism... The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of... BackgroundThe pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism... Abstract Background The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the... |
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SubjectTerms | Adult Aged Aged, 80 and over Biomarkers Body composition Cytokines Dicarboxylic Acids Elderly Female Frailty Geriatrics Health care Humans Male Medical technology Metabolism Metabolites Metabolomics Mortality Musculoskeletal system Older people Original Original : Clinical Pathogenesis Plasma Sarcopenia Sarcopenia - pathology Traumatic acid Tumor necrosis factor-TNF Young Adult |
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Title | Identification of traumatic acid as a potential plasma biomarker for sarcopenia using a metabolomics‐based approach |
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