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Marron MM, Yao S, Shah RV, Murthy VL, Newman AB. Metabolomic characterization of vigor to frailty among community-dwelling older Black and White men and women. GeroScience 2024; 46:2371-2389. [PMID: 37968423 PMCID: PMC10828147 DOI: 10.1007/s11357-023-01005-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/01/2023] [Indexed: 11/17/2023] Open
Abstract
Older women and Black individuals are more likely to experience frailty. A metabolomic characterization of frailty may help inform more effective interventions aimed at improving health, reducing disparities, and preventing frailty with aging. We sought to identify metabolites and pathways associated with vigor to frailty and determine whether associations differed by sex and/or race among n = 2189 older Black and White men and women from the Health, Aging, and Body Composition (Health ABC) study. Fasting plasma metabolites were measured using liquid chromatography-mass spectrometry. Vigor to frailty was based on weight change, physical activity, gait speed, grip strength, and usual energy. We used linear regression of a single metabolite on vigor to frailty, adjusting for age, sex, race, study site, and multiple comparisons using a Bonferroni correction. Among 500 metabolites, 113 were associated with vigor to frailty (p < 0.0001). Associations between metabolites and vigor to frailty did not differ significantly by race and/or sex. Lower amino acids, glycerophospholipids, sphingolipids, and dehydroepiandrosterone sulfate and higher acylcarnitines, fatty acids, amino acid derivatives, organic acids, carbohydrates, citric acid cycle metabolites, and trimethylamine oxide were associated with frailer scores. Pathway analyses identified the citric acid cycle as containing more frailty-associated metabolites than expected by chance (p = 0.00005). Calories and protein intake did not differ by vigor to frailty. Frailer Health ABC participants may have lower utilization of energy pathways, potentially as a result of less demand and less efficient utilization of similar amounts of nutrients when compared to more vigorous participants.
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Affiliation(s)
- Megan M Marron
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Shanshan Yao
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ravi V Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology Division, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Medicine, and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA
| | - Anne B Newman
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Departments of Medicine and Clinical and Translational Science, University of Pittsburgh, Pittsburgh, PA, USA
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2
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Kondoh H, Kameda M. Metabolites in aging and aging-relevant diseases: Frailty, sarcopenia and cognitive decline. Geriatr Gerontol Int 2024; 24 Suppl 1:44-48. [PMID: 37837183 DOI: 10.1111/ggi.14684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/06/2023] [Accepted: 09/11/2023] [Indexed: 10/15/2023]
Abstract
Aging shows biologically complex features with high individual variability, which reflects the exposure to several stimuli and the adaptation to them. Among them, metabolic changes are well observed as consequences or possible causes of aging. Calorie restriction extends organismal life span in experimental models. Several metabolites; for example, resveratrol or nicotinamide mononucleotide, are reported to mimic calorie restriction effects in vivo. Metabolomic research would be useful to evaluate metabolites as biomarkers in aging-relevant events and to identify metabolic regulation of aging. We recently developed the metabolomic approach for whole blood analysis, which functions as strong tool for this purpose. We review the update findings in aging-relevant metabolites detected by this method. Geriatr Gerontol Int 2024; 24: 44-48.
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Affiliation(s)
- Hiroshi Kondoh
- Geriatric Unit, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro Kameda
- Geriatric Unit, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Carbone L, Bůžková P, Fink HA, Robbins JA, Barzilay JI, Elam RE, Isales C. The Association of Tryptophan and Its Metabolites With Incident Hip Fractures, Mortality, and Prevalent Frailty in Older Adults: The Cardiovascular Health Study. JBMR Plus 2023; 7:e10801. [PMID: 37808397 PMCID: PMC10556266 DOI: 10.1002/jbm4.10801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 06/21/2023] [Accepted: 07/12/2023] [Indexed: 10/10/2023] Open
Abstract
Amino acids are the building blocks of proteins, and sufficient protein intake is important for skeletal health. We utilized stored serum from the Cardiovascular Health Study in 1992-1993 to examine the relationship between levels of the essential amino acid tryptophan (trp) and its oxidized and nonoxidized metabolites to risk for incident hip fractures and mortality over 12 years of follow-up. We included 131 persons who sustained a hip fracture during this time period and 131 without a hip fracture over these same 12 years of follow-up; 58% female and 95% White. Weighted multivariable Cox hazards models were used to estimate the hazard ratios (HR) and 95% confidence intervals (CI) of incident hip fracture associated with a one standard deviation (SD) higher trp or its metabolites exposure. Relative risk regression was used to evaluate the cross-sectional association of trp and its metabolites with frailty. Higher serum levels of trp were significantly associated with lower risk of incident hip fractures (HR = 0.75 per SD of trp (95% CI 0.57-0.99) but were not significantly associated with mortality or frailty status by Freid's frailty index. There were no statistically significant associations between any of the oxidized or nonoxidized products of trp with incident hip fractures (p ≥ 0.64), mortality (p ≥ 0.20), or cross-sectional frailty status (p ≥ 0.13) after multiple testing adjustment. Randomized clinical trials examining whether increasing trp intake is beneficial for osteoporosis are needed. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
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Affiliation(s)
- Laura Carbone
- Division of Rheumatology, Department of MedicineAugusta UniversityAugustaGAUSA
- Charlie Norwood Veterans Affairs Medical CenterVeterans Affairs Health Care SystemAugustaGAUSA
| | - Petra Bůžková
- Department of BiostatisticsUniversity of WashingtonSeattleWAUSA
| | - Howard A Fink
- Geriatric Research Education and Clinical CenterVeterans Affairs Health Care SystemMinneapolisMNUSA
| | - John A Robbins
- Department of MedicineUniversity of California DavisDavisCAUSA
| | - Joshua I Barzilay
- Division of Endocrinology, Kaiser Permanente of GeorgiaEmory University School of MedicineAtlantaGAUSA
| | - Rachel E Elam
- Division of Rheumatology, Department of MedicineAugusta UniversityAugustaGAUSA
- Charlie Norwood Veterans Affairs Medical CenterVeterans Affairs Health Care SystemAugustaGAUSA
| | - Carlos Isales
- Charlie Norwood Veterans Affairs Medical CenterVeterans Affairs Health Care SystemAugustaGAUSA
- Division of Endocrinology, Department of MedicineAugusta UniversityAugustaGAUSA
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Tian Q, Mitchell BA, Moaddel R, Zoccali C, Bandinelli S, Ferrucci L. Metabolomic markers mediate erythrocyte anisocytosis in older adults: Results from three independent aging cohorts. J Intern Med 2023; 293:589-599. [PMID: 36739565 DOI: 10.1111/joim.13612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Anisocytosis reflects unequal-sized red blood cells and is quantified using red blood cell distribution width (RDW). RDW increases with age and has been consistently associated with adverse health outcomes, such as cardiovascular disease and mortality. Why RDW increases with age is not understood. We aimed to identify plasma metabolomic markers mediating anisocytosis with aging. METHODS We performed mediation analyses of plasma metabolomics on the association between age and RDW using resampling techniques after covariate adjustment. We analyzed data from adults aged 70 or older from the main discovery cohort of the Baltimore Longitudinal Study of Aging (BLSA, n = 477, 46% women) and validation cohorts of the Health, Aging and Body Composition Study (Health ABC, n = 620, 52% women) and Invecchiare in Chianti, Aging in the Chianti Area (InCHIANTI) study (n = 735, 57% women). Plasma metabolomics was assayed using the Biocrates MxP Quant 500 kit in BLSA and Health ABC and liquid chromatography with tandem mass spectrometry in InCHIANTI. RESULTS In all three cohorts, symmetric dimethylarginine (SDMA) significantly mediated the association between age and RDW. Asymmetric dimethylarginine (ADMA) and 1-methylhistidine were also significant mediators in the discovery cohort and one validation cohort. In the discovery cohort, we also found choline, homoarginine, and several long-chain triglycerides significantly mediated the association between age and RDW. CONCLUSIONS AND RELEVANCE This metabolomics study of three independent aging cohorts identified a specific set of metabolites mediating anisocytosis with aging. Whether SDMA, ADMA, and 1-methylhistidine are released by the damaged erythrocytes with high RDW or they affect the physiology of erythrocytes causing high RDW should be further investigated.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Brendan A Mitchell
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Ruin Moaddel
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, Maryland, USA
| | - Carmine Zoccali
- Institute of Biology and Molecular Genetics (BIOGEM), Ariano Irpino, Italy.,Associazione Ipertensione Nefrologia e Trapianto Renale (IPNET), Reggio Calabria, Italy
| | | | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
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Guo Y, Zhu G, Wang F, Zhang H, Chen X, Mao Y, Lv Y, Xia F, Jin Y, Ding G, Yu J. Distinct Serum and Fecal Metabolite Profiles Linking With Gut Microbiome in Older Adults With Frailty. Front Med (Lausanne) 2022; 9:827174. [PMID: 35479954 PMCID: PMC9035822 DOI: 10.3389/fmed.2022.827174] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 03/10/2022] [Indexed: 12/16/2022] Open
Abstract
Frailty is a critical aging-related syndrome but the underlying metabolic mechanism remains poorly understood. The aim of this study was to identify novel biomarkers and reveal potential mechanisms of frailty based on the integrated analysis of metabolome and gut microbiome. In this study, twenty subjects consisted of five middle-aged adults and fifteen older adults, of which fifteen older subjects were divided into three groups: non-frail, pre-frail, and frail, with five subjects in each group. The presence of frailty, pre-frailty, or non-frailty was established according to the physical frailty phenotype (PFP). We applied non-targeted metabolomics to serum and feces samples and used 16S rDNA gene sequencing to detect the fecal microbiome. The associations between metabolites and gut microbiota were analyzed by the Spearman’s correlation analysis. Serum metabolic shifts in frailty mainly included fatty acids and derivatives, carbohydrates, and monosaccharides. Most of the metabolites belonging to these classes increased in the serum of frail older adults. Propylparaben was found to gradually decrease in non-frail, pre-frail, and frail older adults. Distinct changes in fecal metabolite profiles and gut microbiota were also found among middle-aged adults, non-frail and frail older subjects. The relative abundance of Faecalibacteriu, Roseburia, and Fusicatenibacter decreased while the abundance of Parabacteroides and Bacteroides increased in frailty. The above altered microbes were associated with the changed serum metabolites in frailty, which included dodecanedioic acid, D-ribose, D-(-)-mannitol, creatine and indole, and their related fecal metabolites. The changed microbiome and related metabolites may be used as the biomarkers of frailty and is worthy of further mechanistic studies.
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Affiliation(s)
- Yan Guo
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Neurology, Yancheng City No. 1 People’s Hospital, Yancheng, China
| | - Guoqin Zhu
- Division of Geriatric Gastroenterology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fengliang Wang
- Department of Breast Surgery, Nanjing Maternity and Child Health Care Hospital, The Affiliated Obstetrics and Gynaecology Hospital of Nanjing Medical University, Nanjing, China
| | - Haoyu Zhang
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Human Biology Undergraduate, University of Toronto, Toronto, ON, Canada
| | - Xin Chen
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yan Mao
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yifan Lv
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fan Xia
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yi Jin
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Guoxian Ding
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Guoxian Ding,
| | - Jing Yu
- Division of Geriatric Endocrinology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Jing Yu,
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Takeshita H, Yamamoto K. Tryptophan Metabolism and COVID-19-Induced Skeletal Muscle Damage: Is ACE2 a Key Regulator? Front Nutr 2022; 9:868845. [PMID: 35463998 PMCID: PMC9028463 DOI: 10.3389/fnut.2022.868845] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 03/07/2022] [Indexed: 12/15/2022] Open
Abstract
The severity of coronavirus disease 2019 (COVID-19) is characterized by systemic damage to organs, including skeletal muscle, due to excessive secretion of inflammatory cytokines. Clinical studies have suggested that the kynurenine pathway of tryptophan metabolism is selectively enhanced in patients with severe COVID-19. In addition to acting as a receptor for severe acute respiratory syndrome coronavirus 2, the causative virus of COVID-19, angiotensin converting enzyme 2 (ACE2) contributes to tryptophan absorption and inhibition of the renin-angiotensin system. In this article, we review previous studies to assess the potential for a link between tryptophan metabolism, ACE2, and skeletal muscle damage in patients with COVID-19.
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7
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Pan Y, Li Y, Liu P, Zhang Y, Li B, Liu Z, Shui G, Ma L. Metabolomics-Based Frailty Biomarkers in Older Chinese Adults. Front Med (Lausanne) 2022; 8:830723. [PMID: 35155487 PMCID: PMC8825494 DOI: 10.3389/fmed.2021.830723] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 12/20/2021] [Indexed: 11/14/2022] Open
Abstract
Background/Objectives Owing to accelerated population aging, health in older adults is becoming increasingly important. Frailty can reflect the health status and disease risks of older adults; however, appropriate biomarkers for early screening of frailty have not been identified. Here, we applied metabolomics to identify frailty biomarkers and potential pathogenic mechanisms of frailty. Methods Serum metabolic profiles from 25 frail and 49 non-frail (control) older adults were systematically investigated by liquid chromatography-mass spectrometry-based metabolomics. Results We identified 349 metabolites of 46 classes, with four increased and seven decreased metabolites in frail older adults. Pearson correlation analysis identified 11 and 21 metabolites that were positively and negatively correlated with grip strength, and 7 and 76 metabolites that were positively and negatively correlated with gait speed, respectively. Pathway analysis identified 10 metabolite sets and 13 pathways significantly associated with one or more frailty phenotype criteria. Conclusion These results revealed the metabolite characteristics of serum in frail older adults. Intermediates of carbohydrate metabolism (e.g., isocitrate, malate, fumarate, cis-aconitate, glucuronate, and pyruvate), saturated fatty acids (e.g., palmitic acid), unsaturated fatty acids (e.g., arachidonate and linoleic acid), and certain essential amino acids (e.g., tryptophan) may be candidate biomarkers for the early diagnosis of frailty. Mitochondrial function disorders, saturated fatty acid-mediated lipotoxicity, aberrant unsaturated fatty acid metabolism, and increased tryptophan degradation could be potential mechanisms of frailty.
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Affiliation(s)
- Yiming Pan
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yun Li
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Pan Liu
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yaxin Zhang
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Bowen Li
- LipidALL Technologies Company Limited, Changzhou, China
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics, School of Public Health, Second Affiliated Hospital and Department of Big Data in Health Science, Zhejiang University School of Medicine, Hangzhou, China
| | - Guanghou Shui
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Lina Ma
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
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8
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Meng L, Shi H, Wang DG, Shi J, Wu WB, Dang YM, Fan GQ, Shen J, Yu PL, Dong J, Yang RY, Xi H. Specific Metabolites Involved in Antioxidation and Mitochondrial Function Are Correlated With Frailty in Elderly Men. Front Med (Lausanne) 2022; 9:816045. [PMID: 35155500 PMCID: PMC8833032 DOI: 10.3389/fmed.2022.816045] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 01/04/2022] [Indexed: 01/14/2023] Open
Abstract
BackgroundAs an age-related syndrome, frailty may play a central role in poor health among older adults. Sarcopenia overlaps with the physical domain of frailty, and most existing studies have analyzed the associated factors of frailty and sarcopenia as an isolated state. Perturbations in metabolism may play an important role in the presence of frailty or sarcopenia; however, the metabolites associated with frailty, especially overlapping with sarcopenia remain unclear. In this study, we aimed to explore whether amino acids, carnitines, acylcarnitines and lysophosphatidylcholines, as specific panels, are significantly correlated with frailty, especially overlapping with sarcopenia, to gain insight into potential biomarkers and possible biological mechanisms and to facilitate their management.MethodsWe applied a targeted high-performance liquid chromatography-tandem mass spectrometry approach in serum samples from 246 Chinese older men (age 79.2 ± 7.8 years) with frailty (n = 150), non-frailty (n = 96), frailty and sarcopenia (n = 52), non-frail and non-sarcopenic control (n = 85). Frailty was evaluated using Freid phenotype criteria, sarcopenia was defined by diagnostic algorithm of Asian Working Group on Sarcopenia, and the participants were diagnosed as frailty and sarcopenia when they met the evaluation criteria of both frailty and sarcopenia. A panel of 29 metabolomic profiles was assayed and included different classes of amino acids, carnitines, acylcarnitines, and lysophosphatidylcholines (LPCs). Multivariate logistic regression was used to screen the metabolic factors contributing to frailty status, and orthogonal partial least squares discriminant analysis was used to explore important factors and distinguish different groups.ResultsIn older men demonstrating the frail phenotype, amino acid perturbations included lower tryptophan and higher glycine levels. With regard to lipid metabolism, the frailty phenotype was characterized by lower concentrations of isovalerylcarnitine (C5), LPC16:0 and LPC18:2, while higher levels of octanoyl-L-carnitine (C8), decanoyl-L-carnitine (C10), dodecanoyl-L-carnitine (C12) and tetradecanoyl-L-carnitine (C14). After adjusting for several clinical confounders, tryptophan, LPC18:2, LPC 16:0 and C5 were negatively correlated with frailty, and C8 and C12 were positively related to frailty. We preliminarily identified metabolic profiles (LPC16:0, LPC18:2, glycine and tryptophan) that may distinguish older men with frailty from those without frailty. Importantly, a set of serum amino acids and LPCs (LPC16:0, LPC18:2, and tryptophan) was characterized in the metabotype of older adults with an overlap of frailty and sarcopenia. The metabolites that were most discriminating of frailty status implied that the underlying mechanism might be involved in antioxidation and mitochondrial dysfunction.ConclusionsThese present metabolic analyses may provide valuable information on the potential biomarkers and possible biological mechanisms of frailty, and overlapping sarcopenia. The findings obtained may offer insight into their management in older adults.
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Affiliation(s)
- Li Meng
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Chinese Academy of Medical Sciences, Beijing, China
| | - Hong Shi
- Department of Geriatrics, National Clinical Research Center for Geriatrics, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Da-guang Wang
- Department of Laboratory Medicine, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Shi
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Chinese Academy of Medical Sciences, Beijing, China
| | - Wen-bin Wu
- Department of Geriatrics, National Clinical Research Center for Geriatrics, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Ya-min Dang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Chinese Academy of Medical Sciences, Beijing, China
| | - Guo-qing Fan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Chinese Academy of Medical Sciences, Beijing, China
| | - Ji Shen
- Department of Geriatrics, National Clinical Research Center for Geriatrics, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Pu-lin Yu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Chinese Academy of Medical Sciences, Beijing, China
| | - Jun Dong
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Chinese Academy of Medical Sciences, Beijing, China
| | - Rui-yue Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Beijing Hospital/National Center of Gerontology of National Health Commission, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Rui-yue Yang
| | - Huan Xi
- Department of Geriatrics, National Clinical Research Center for Geriatrics, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Huan Xi
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亀田 雅, 近藤 祥. [Metabolites for frailty biomarkers]. Nihon Ronen Igakkai Zasshi 2021; 58:333-340. [PMID: 34483155 DOI: 10.3143/geriatrics.58.333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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10
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Marron MM, Harris TB, Boudreau RM, Clish CB, Moore SC, Murphy RA, Murthy VL, Sanders JL, Shah RV, Tseng GC, Wendell SG, Zmuda JM, Newman AB. A Metabolite Composite Score Attenuated a Substantial Portion of the Higher Mortality Risk Associated With Frailty Among Community-Dwelling Older Adults. J Gerontol A Biol Sci Med Sci 2021; 76:378-384. [PMID: 32361748 DOI: 10.1093/gerona/glaa112] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Frailty is more prevalent among black versus white older Americans. We previously identified 37 metabolites associated with the vigor to frailty spectrum using the Scale of Aging Vigor in Epidemiology (SAVE) among older black men from the Health, Aging, and Body Composition (Health ABC) study. Here, we sought to develop a metabolite composite score based on the 37 SAVE-associated metabolites and determine whether the composite score predicts mortality and whether it attenuates the association between frailty and mortality among older black men. METHODS Plasma metabolites were measured using liquid chromatography-mass spectrometry. Most of the 37 metabolites were organic acids/derivatives or lipids. Metabolites were ranked into tertiles: tertiles associated with more vigorous SAVE scores were scored 0, mid-tertiles were scored 1, and tertiles associated with frailer SAVE scores were scored 2. Composite scores were the sum of metabolite tertile scores. We examined mortality associations using Cox regression. Percent attenuation estimated the extent to which metabolites attenuated the association between frailty and mortality. RESULTS One standard deviation frailer SAVE was associated with 30% higher mortality, adjusting for age and site (p = .0002); this association was attenuated by 56% after additionally adjusting for the metabolite composite score. In this model, one standard deviation higher metabolite composite score was associated with 46% higher mortality (p < .0001). Metabolite composite scores also predicted mortality (p = .045) in a validation sample of 120 older adults (40% men, 90% white). CONCLUSION These metabolites may provide a deeper characterization of the higher mortality that is associated with frailty among older adults.
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Affiliation(s)
- Megan M Marron
- Department of Epidemiology, University of Pittsburgh, Pennsylvania
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland
| | | | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Rachel A Murphy
- Centre of Excellence in Cancer Prevention, School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, University of Michigan at Ann Arbor, Michigan
| | - Jason L Sanders
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ravi V Shah
- Department of Medicine, Massachusetts General Hospital, Boston
| | - George C Tseng
- Department of Biostatistics, University of Pittsburgh, Pennsylvania.,Department of Medicine, University of Pittsburgh, Pennsylvania
| | - Stacy G Wendell
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pennsylvania
| | - Joseph M Zmuda
- Department of Epidemiology, University of Pittsburgh, Pennsylvania.,Department of Medicine, University of Pittsburgh, Pennsylvania
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pennsylvania.,Department of Medicine, University of Pittsburgh, Pennsylvania
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11
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Marron MM, Moore SC, Wendell SG, Boudreau RM, Miljkovic I, Sekikawa A, Newman AB. Using lipid profiling to better characterize metabolic differences in apolipoprotein E (APOE) genotype among community-dwelling older Black men. GeroScience 2021; 44:1083-1094. [PMID: 33991295 DOI: 10.1007/s11357-021-00382-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/03/2021] [Indexed: 01/16/2023] Open
Abstract
Apolipoprotein E (APOE) allelic variation is associated with differences in overall circulating lipids and risks of major health outcomes. Lipid profiling provides the opportunity for a more detailed description of lipids that differ by APOE, to potentially inform therapeutic targets for mitigating higher morbidity and mortality associated with certain APOE genotypes. Here, we sought to identify lipids, lipid-like molecules, and important mediators of fatty acid metabolism that differ by APOE among 278 Black men ages 70-81. Using liquid chromatography-mass spectrometry methods, 222 plasma metabolites classified as lipids, lipid-like molecules, or essential in fatty acid metabolism were detected. We applied principal factor analyses to calculate a factor score for each main lipid category. APOE was categorized as ε4 carriers (n = 83; ε3ε4 or ε4ε4), ε2 carriers (n = 58; ε2ε3 or ε2ε2), or ε3 homozygotes (n = 137; ε3ε3). Using analysis of variance, the monoacylglycerol factor, cholesterol ester factor, the factor for triacylglycerols that consist mostly of polyunsaturated fatty acids, sphingosine, and free carnitine significantly differed by APOE (p < 0.05, false discovery rate < 0.30). The monoacylglycerol factor, cholesterol ester factor, and sphingosine were lower, whereas the factor for triacylglycerols that consisted mostly of polyunsaturated fatty acids was higher among ε2 carriers than remaining participants. Free carnitine was lower among ε4 carriers than ε3 homozygotes. Lower monoacylglycerols and cholesteryl esters and higher triacylglycerols that consist mostly of polyunsaturated fatty acids may be protective metabolic characteristics of APOE ε2 carriers, whereas lower carnitine may reflect altered mitochondrial functioning among ε4 carriers in this cohort of older Black men.
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Affiliation(s)
- Megan M Marron
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 130 North Bellefield Avenue, Room 327, Pittsburgh, PA, 15213, USA.
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stacy G Wendell
- Departments of Pharmacology and Chemical Biology and Clinical and Translational Science, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert M Boudreau
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 130 North Bellefield Avenue, Room 327, Pittsburgh, PA, 15213, USA
| | - Iva Miljkovic
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 130 North Bellefield Avenue, Room 327, Pittsburgh, PA, 15213, USA
| | - Akira Sekikawa
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 130 North Bellefield Avenue, Room 327, Pittsburgh, PA, 15213, USA
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 130 North Bellefield Avenue, Room 327, Pittsburgh, PA, 15213, USA.,Departments of Medicine and Clinical and Translational Science, University of Pittsburgh, Pittsburgh, PA, USA
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Farsijani S, Marron MM, Miljkovic I, Baugh ME, Kritchevsky SB, Newman AB. Metabolic Markers Demonstrate the Heterogeneity of Myosteatosis in Community-Dwelling Older Black Men from the Health ABC Study. Metabolites 2021; 11:metabo11040224. [PMID: 33917005 PMCID: PMC8067743 DOI: 10.3390/metabo11040224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/31/2021] [Accepted: 04/04/2021] [Indexed: 11/16/2022] Open
Abstract
Myosteatosis is a complex condition, associated with aging and diverse pathological conditions (e.g., diabetes), that contributes to mobility disability. Improved characterization of myosteatosis is required to develop targeted interventions to maintain muscle health in aging. We first determined the associations between plasma metabolites and intermuscular fat (IMF) in a cross-sectional analysis of 313 older Black men from Health ABC Study. Using partial correlation analysis, 34/350 metabolites were associated with IMF, the majority of which were lipids and organic acids. Next, we used Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), as an indicator of metabolic health to delineate the anthropometric, functional, and metabolic heterogeneity of myosteatosis in a case-control matching analysis. We categorized participants based on their IMF and HOMA-IR levels into: Low-IMF with Low- versus High-HOMA, as well as High-IMF with Low- versus High-HOMA. Among participants with similar levels of IMF, those who were metabolically unhealthy, i.e., with High HOMA-IR, had higher fat and lean mass, muscle strength, and had hyperglycemia, hypertriglyceridemia, hyperinsulinemia, and higher levels of plasma metabolites belonging to diacylglycerols, triacylglycerols, fatty acid and aminoacyl-tRNA biosynthesis pathways versus those with Low HOMA-IR. In summary, HOMA-IR delineates the heterogeneity of myosteatosis by distinguishing metabolically healthy versus unhealthy individuals.
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Affiliation(s)
- Samaneh Farsijani
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; (S.F.); (M.M.M.); (I.M.)
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Megan M. Marron
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; (S.F.); (M.M.M.); (I.M.)
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Iva Miljkovic
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; (S.F.); (M.M.M.); (I.M.)
| | - Mary Elizabeth Baugh
- Fralin Biomedical Research Institute, Virginia Polytechnic Institute and State University, Roanoke, VA 24016, USA;
| | - Stephen B. Kritchevsky
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Anne B. Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; (S.F.); (M.M.M.); (I.M.)
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Correspondence:
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13
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Whole Blood Metabolomics in Aging Research. Int J Mol Sci 2020; 22:ijms22010175. [PMID: 33375345 PMCID: PMC7796096 DOI: 10.3390/ijms22010175] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 12/25/2020] [Accepted: 12/25/2020] [Indexed: 02/08/2023] Open
Abstract
Diversity is observed in the wave of global aging because it is a complex biological process exhibiting individual variability. To assess aging physiologically, markers for biological aging are required in addition to the calendar age. From a metabolic perspective, the aging hypothesis includes the mitochondrial hypothesis and the calorie restriction (CR) hypothesis. In experimental models, several compounds or metabolites exert similar lifespan-extending effects, like CR. However, little is known about whether these metabolic modulations are applicable to human longevity, as human aging is greatly affected by a variety of factors, including lifestyle, genetic or epigenetic factors, exposure to stress, diet, and social environment. A comprehensive analysis of the human blood metabolome captures complex changes with individual differences. Moreover, a non-targeted analysis of the whole blood metabolome discloses unexpected aspects of human biology. By using such approaches, markers for aging or aging-relevant conditions were identified. This information should prove valuable for future diagnosis or clinical interventions in diseases relevant to aging.
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Ng TKS, Kovalik JP, Ching J, Chan AW, Matchar DB. Novel metabolomics markers are associated with pre-clinical decline in hand grip strength in community-dwelling older adults. Mech Ageing Dev 2020; 193:111405. [PMID: 33217429 DOI: 10.1016/j.mad.2020.111405] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/26/2020] [Accepted: 11/11/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Hand grip strength (HGS) has been proposed as a robust predictor for frailty and sarcopenia. Hence, identifying biomarkers for declining HGS accompanying aging could deepen our understanding of the biological underpinnings, informing pre-emptive intervention. Acylcarnitines (ACs) are metabolites generated by fatty acid metabolism in the mitochondria and are dysregulated in multiple disorders affecting the musculature. However, they have not been comprehensively profiled and examined regarding their utility in predicting variability in declining HGS, longitudinally. Thus, we aimed to: 1) validate previous findings on insignificant cross-sectional association between ACs and HGS, and 2) examine whether baseline ACs were associated with both decline and variability in HGS over 18 months, in community-dwelling older adults. METHODS We included participants who had HGS measured with dynamometer longitudinally (N = 121). We quantified ACs by targeted plasma metabolomics profiling. Multivariable linear regressions were then performed. RESULTS Cross-sectionally, ACs were not significantly associated with HGS. Longitudinally, baseline short-chain dicarboxylic and hydroxylated acylcarnitines (AC-DC/-OH) levels were inversely associated with and significantly explained the variability in 18-month decline in HGS. A specific AC species, the C4-OH, accounted for most of the variance explained. CONCLUSIONS We showed novel biomarkers for declining HGS, furthering molecular understanding and informing nutritional pre-emptive programs.
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Affiliation(s)
- Ted Kheng Siang Ng
- Duke-National University of Singapore Medical School, Center for Aging, Research and Education Singapore.
| | - Jean-Paul Kovalik
- Duke-National University of Singapore Medical School, Cardiovascular and Metabolic Disorders Programme, Singapore
| | - Jianhong Ching
- Duke-National University of Singapore Medical School, Cardiovascular and Metabolic Disorders Programme, Singapore
| | - Angelique W Chan
- Duke-National University of Singapore Medical School, Center for Aging, Research and Education Singapore; Duke-National University of Singapore Medical School, Program in Health Services and Systems Research, Singapore; National University of Singapore, Department of Sociology, Faculty of Arts and Social Sciences, Singapore
| | - David Bruce Matchar
- Duke-National University of Singapore Medical School, Center for Aging, Research and Education Singapore; Duke-National University of Singapore Medical School, Program in Health Services and Systems Research, Singapore; Duke University School of Medicine, Department of Medicine (General Internal Medicine), United States.
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15
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Marron MM, Wendell SG, Boudreau RM, Clish CB, Santanasto AJ, Tseng GC, Zmuda JM, Newman AB. Metabolites Associated with Walking Ability Among the Oldest Old from the CHS All Stars Study. J Gerontol A Biol Sci Med Sci 2020; 75:2371-2378. [PMID: 31970383 DOI: 10.1093/gerona/glaa030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Low walking ability is highly prevalent with advancing age and predicts major health outcomes. Metabolomics may help to better characterize differences in walking ability among older adults, providing insight into potentially altered molecular processes underlying age-related decline in functioning. We sought to identify metabolites and metabolic pathways associated with high versus low walking ability among 120 participants ages 79-95 from the CHS All Stars study. METHODS Using a nested case-control design, 60 randomly selected participants with low walking ability were matched one-to-one on age, gender, race, and fasting time with 60 participants with high walking ability. High versus low walking ability was defined as being in the best versus worst tertiles for both gait speed (≥0.9 vs <0.7 m/s) and the Walking Ability Index (7-9 vs 0-1). Using liquid chromatography-mass spectrometry, 569 metabolites were identified in overnight-fasting plasma. RESULTS Ninety-six metabolites were associated with walking ability, where 24% were triacylglycerols. Triacylglycerols that were higher among those with high walking ability consisted mostly of polyunsaturated fatty acids, whereas triacylglycerols that were lower among those with high walking ability consisted mostly of saturated or monounsaturated fatty acids. Body composition partly explained associations between some metabolites and walking ability. Proline and arginine metabolism was a top pathway associated with walking ability. CONCLUSION These results may partly reflect pathways of modifiable risk factors, including excess dietary lipids and lack of physical activity, contributing to obesity and further alterations in metabolic pathways that lead to age-related decline in walking ability in this older adult cohort.
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Affiliation(s)
- Megan M Marron
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | - Stacy G Wendell
- Departments of Pharmacology and Chemical Biology and Clinical and Translational Science, University of Pittsburgh, Pennsylvania
| | - Robert M Boudreau
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Adam J Santanasto
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | - George C Tseng
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.,Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | - Joseph M Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.,Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.,Departments of Medicine and Clinical and Translational Science, University of Pittsburgh, Pennsylvania
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16
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Omics biomarkers for frailty in older adults. Clin Chim Acta 2020; 510:363-372. [PMID: 32745578 DOI: 10.1016/j.cca.2020.07.057] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/29/2020] [Accepted: 07/29/2020] [Indexed: 12/14/2022]
Abstract
Frailty is a clinical state characterized by an age-related unsteady state of the body, a decline in physiological function, and an increased vulnerability to adverse outcomes. Early diagnosis of frailty is important for improving the quality of life in older adults and promoting healthy aging. The biological mechanisms underlying frailty have been extensively studied in recent years. Combining assessment tools and biomarkers can facilitate the early diagnosis of frailty. However, there is a lack of stable and reliable frailty-related biomarkers for use in clinical practice. Advances in the multi-omics platforms have provided new information on the molecular mechanisms underlying frailty. Thus, identifying biomarkers using omics-based approaches helps explore the physiological mechanisms underlying frailty, and aids the evaluation of the risk of frailty development and progression. This article reviews the current status of frailty biomarkers from the genomics, transcriptomics, proteomics, and metabolomics perspectives.
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17
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Hernández‐Alonso P, Becerra‐Tomás N, Papandreou C, Bulló M, Guasch‐Ferré M, Toledo E, Ruiz‐Canela M, Clish CB, Corella D, Dennis C, Deik A, Wang DD, Razquin C, Drouin‐Chartier J, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Serra‐Majem L, Liang L, Martínez‐González MA, Hu FB, Salas‐Salvadó J. Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake: A Metabolomics Approach within the PREDIMED Study. Mol Nutr Food Res 2020; 64:e2000178. [PMID: 32378786 DOI: 10.1002/mnfr.202000178] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/15/2020] [Indexed: 01/24/2023]
Affiliation(s)
- Pablo Hernández‐Alonso
- Universitat Rovira i VirgiliDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana Hospital Universitari San Joan de Reus Reus 43201 Spain
- Institut d'Investigació Pere Virgili (IISPV) Reus 43003 Spain
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la VictoriaInstituto de Investigación Biomédica de Málaga (IBIMA) Málaga 29010 Spain
| | - Nerea Becerra‐Tomás
- Universitat Rovira i VirgiliDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana Hospital Universitari San Joan de Reus Reus 43201 Spain
- Institut d'Investigació Pere Virgili (IISPV) Reus 43003 Spain
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
| | - Christopher Papandreou
- Universitat Rovira i VirgiliDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana Hospital Universitari San Joan de Reus Reus 43201 Spain
- Institut d'Investigació Pere Virgili (IISPV) Reus 43003 Spain
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
| | - Mònica Bulló
- Universitat Rovira i VirgiliDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana Hospital Universitari San Joan de Reus Reus 43201 Spain
- Institut d'Investigació Pere Virgili (IISPV) Reus 43003 Spain
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
| | - Marta Guasch‐Ferré
- Universitat Rovira i VirgiliDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana Hospital Universitari San Joan de Reus Reus 43201 Spain
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Department of NutritionHarvard T. H. Chan School of Public Health Boston MA 02115 USA
| | - Estefanía Toledo
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- University of NavarraDepartment of Preventive Medicine and Public Health Pamplona 31008 Spain
- Navarra Institute for Health Research (IdisNA) Pamplona Navarra 31008 Spain
| | - Miguel Ruiz‐Canela
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- University of NavarraDepartment of Preventive Medicine and Public Health Pamplona 31008 Spain
- Navarra Institute for Health Research (IdisNA) Pamplona Navarra 31008 Spain
| | - Clary B. Clish
- Broad Institute of MIT and Harvard University Cambridge MA 02142 USA
| | - Dolores Corella
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Department of Preventive MedicineUniversity of Valencia Valencia 46020 Spain
| | - Courtney Dennis
- Broad Institute of MIT and Harvard University Cambridge MA 02142 USA
| | - Amy Deik
- Broad Institute of MIT and Harvard University Cambridge MA 02142 USA
| | - Dong D. Wang
- Department of NutritionHarvard T. H. Chan School of Public Health Boston MA 02115 USA
| | - Cristina Razquin
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- University of NavarraDepartment of Preventive Medicine and Public Health Pamplona 31008 Spain
- Navarra Institute for Health Research (IdisNA) Pamplona Navarra 31008 Spain
| | - Jean‐Philippe Drouin‐Chartier
- Department of NutritionHarvard T. H. Chan School of Public Health Boston MA 02115 USA
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF)Université Laval Québec G1V 0A6 Canada
- Faculté de PharmacieUniversité Laval Québec G1V 0A6 Canada
| | - Ramon Estruch
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Department of Internal MedicineDepartment of Endocrinology and Nutrition Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital ClinicUniversity of Barcelona Barcelona 08036 Spain
| | - Emilio Ros
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Lipid Clinic, Department of Endocrinology and Nutrition Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital ClinicUniversity of Barcelona Barcelona 08036 Spain
| | - Montserrat Fitó
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Cardiovascular and Nutrition Research GroupInstitut de Recerca Hospital del Mar Barcelona 08003 Spain
| | - Fernando Arós
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Department of CardiologyUniversity Hospital of Alava Vitoria 01009 Spain
| | - Miquel Fiol
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Institute of Health Sciences IUNICSUniversity of Balearic Islands and Hospital Son Espases Palma de Mallorca 07122 Spain
| | - Lluís Serra‐Majem
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- Research Institute of Biomedical and Health Sciences IUIBSUniversity of Las Palmas de Gran Canaria Las Palmas 35001 Spain
| | - Liming Liang
- Departments of Epidemiology and StatisticsHarvard T. H. Chan School of Public Health Boston MA 02115 USA
| | - Miguel A Martínez‐González
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
- University of NavarraDepartment of Preventive Medicine and Public Health Pamplona 31008 Spain
- Navarra Institute for Health Research (IdisNA) Pamplona Navarra 31008 Spain
- Department of NutritionHarvard T. H. Chan School of Public Health Boston MA 02115 USA
| | - Frank B Hu
- Broad Institute of MIT and Harvard University Cambridge MA 02142 USA
- Departments of Epidemiology and StatisticsHarvard T. H. Chan School of Public Health Boston MA 02115 USA
- Channing Division for Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical School Boston MA 02115 USA
| | - Jordi Salas‐Salvadó
- Universitat Rovira i VirgiliDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana Hospital Universitari San Joan de Reus Reus 43201 Spain
- Institut d'Investigació Pere Virgili (IISPV) Reus 43003 Spain
- Consorcio CIBER, M. P. Fisiopatología de la Obesidad y Nutrición (CIBERObn)Instituto de Salud Carlos III (ISCIII) Madrid 28029 Spain
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Frailty markers comprise blood metabolites involved in antioxidation, cognition, and mobility. Proc Natl Acad Sci U S A 2020; 117:9483-9489. [PMID: 32295884 PMCID: PMC7196897 DOI: 10.1073/pnas.1920795117] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Frailty resulting from age-related deterioration of multiple organ systems displays complex features, including cognitive dysfunction, hypomobility, and impaired daily activity. However, metabolic aspects of frailty remain unclear. We performed untargeted, comprehensive metabolomics of whole blood from 19 frail and nonfrail elderly patients. We identified 22 markers, including 15 for frailty, 6 for cognition, and 12 for hypomobility, most of which are abundant in blood. Frailty markers include 5 of 6 for cognition and 6 of 12 for hypomobility. These overlapping markers include decreased levels of metabolites related to antioxidation, nitrogen, and amino acid metabolism. Ergothioneine, an antioxidant involved in neuronal diseases, declines in frailty. Thus, we reveal essential metabolites linked to the pathogenesis of frailty, including vulnerability to oxidative stress. As human society ages globally, age-related disorders are becoming increasingly common. Due to decreasing physiological reserves and increasing organ system dysfunction associated with age, frailty affects many elderly people, compromising their ability to cope with acute stressors. Frail elderly people commonly manifest complex clinical symptoms, including cognitive dysfunction, hypomobility, and impaired daily activity, the metabolic basis of which remains poorly understood. We applied untargeted, comprehensive LC-MS metabolomic analysis to human blood from 19 frail and nonfrail elderly patients who were clinically evaluated using the Edmonton Frail Scale, the MoCA-J for cognition, and the TUG for mobility. Among 131 metabolites assayed, we identified 22 markers for frailty, cognition, and hypomobility, most of which were abundant in blood. Frailty markers included 5 of 6 markers specifically related to cognition and 6 of 12 markers associated with hypomobility. These overlapping sets of markers included metabolites related to antioxidation, muscle or nitrogen metabolism, and amino acids, most of which are decreased in frail elderly people. Five frailty-related metabolites that decreased—1,5-anhydroglucitol, acetyl-carnosine, ophthalmic acid, leucine, and isoleucine—have been previously reported as markers of aging, providing a metabolic link between human aging and frailty. Our findings clearly indicate that metabolite profiles efficiently distinguish frailty from nonfrailty. Importantly, the antioxidant ergothioneine, which decreases in frailty, is neuroprotective. Oxidative stress resulting from diminished antioxidant levels could be a key vulnerability for the pathogenesis of frailty, exacerbating illnesses related to human aging.
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