1
|
Félix J, Martínez de Toda I, Díaz-Del Cerro E, González-Sánchez M, De la Fuente M. Frailty and biological age. Which best describes our aging and longevity? Mol Aspects Med 2024; 98:101291. [PMID: 38954948 DOI: 10.1016/j.mam.2024.101291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 05/01/2024] [Accepted: 06/26/2024] [Indexed: 07/04/2024]
Abstract
Frailty and Biological Age are two closely related concepts; however, frailty is a multisystem geriatric syndrome that applies to elderly subjects, whereas biological age is a gerontologic way to describe the rate of aging of each individual, which can be used from the beginning of the aging process, in adulthood. If frailty reaches less consensus on the definition, it is a term much more widely used than this of biological age, which shows a clearer definition but is scarcely employed in social and medical fields. In this review, we suggest that this Biological Age is the best to describe how we are aging and determine our longevity, and several examples support our proposal.
Collapse
Affiliation(s)
- Judith Félix
- Department of Genetics, Physiology, and Microbiology (Unit of Animal Physiology), Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain; Institute of Investigation Hospital 12 Octubre (imas12), 28041 Madrid, Spain.
| | - Irene Martínez de Toda
- Department of Genetics, Physiology, and Microbiology (Unit of Animal Physiology), Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain; Institute of Investigation Hospital 12 Octubre (imas12), 28041 Madrid, Spain.
| | - Estefanía Díaz-Del Cerro
- Department of Genetics, Physiology, and Microbiology (Unit of Animal Physiology), Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain; Institute of Investigation Hospital 12 Octubre (imas12), 28041 Madrid, Spain.
| | - Mónica González-Sánchez
- Department of Genetics, Physiology, and Microbiology (Unit of Genetics), Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain; Institute of Investigation Hospital 12 Octubre (imas12), 28041 Madrid, Spain.
| | - Mónica De la Fuente
- Department of Genetics, Physiology, and Microbiology (Unit of Animal Physiology), Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain; Institute of Investigation Hospital 12 Octubre (imas12), 28041 Madrid, Spain.
| |
Collapse
|
2
|
Navas-Enamorado C, Capo X, Galmes-Panades AM, Ortega-Moral A, Sánchez-Polo A, Masmiquel L, Torrens-Mas M, Navas P, Gonzalez-Freire M. The association of circulating bioenergetic metabolites with healthy human aging. Exp Gerontol 2024; 194:112488. [PMID: 38879093 DOI: 10.1016/j.exger.2024.112488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/25/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024]
Abstract
Aging is an inevitable and gradual decline in several biological functions. Mitochondrial dysfunction is one of the most important hallmarks of aging. In this context, alterations in metabolites associated with mitochondrial dysfunction may serve as a significant biomarker. This study aimed to investigate the existence of a relationship between the key metabolites involved in bioenergetics metabolism and aging. 53 volunteers ranged 20-85 years participated in the study. We tested the association between different tricarboxylic acid (TCA) cycle metabolites, fatty acid metabolism, and amino acid metabolism with age, sex, body composition, and proxy markers of aging such as walking speed, grip strength and chair test. We found that lactic acid negatively correlated with age while several fatty acid metabolites, such as azelaic, sebacic, and linoleic acids, showed positive correlations with age (p < 0.05). Sex-specific trends, such as glycerol, and dodecanoic acid, were also observed for certain metabolites. Furthermore, citric acid levels were found to have a significant association with physical function and body composition measures. Participants with higher citric acid levels displayed improved performance in physical tests and favorable body composition indices. Additionally, fumaric acid and adipic acid showed positive correlations with fat-free body mass, while sebacic acid was negatively associated with measures of fat mass. These findings underscore the importance of understanding the role of circulating bioenergetics metabolites with age, sex variations, and their potential implications in body composition and physical performance.
Collapse
Affiliation(s)
- C Navas-Enamorado
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - X Capo
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - A M Galmes-Panades
- Physical Activity and Sport Sciences Research Group (GICAFE), Institute for Educational Research and Innovation (IRIE), University of the Balearic Islands, 07120 Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - A Ortega-Moral
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - A Sánchez-Polo
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - L Masmiquel
- Vascular and Metabolic Pathologies Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - M Torrens-Mas
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - P Navas
- Centro Andaluz de Biología del Desarrollo, Universidad Pablo de Olavide- Consejo superior de Investigaciones Científicas- Junta de Andalucía, Sevilla, Spain; CIBERER, Instituto de Salud Carlos III, Madrid, Spain.
| | - M Gonzalez-Freire
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; Faculty of Experimental Sciences, Universidad Francisco de Vitoria (UFV), Pozuelo de Alarcon, Madrid, Spain.
| |
Collapse
|
3
|
Mishra M, Wu J, Kane AE, Howlett SE. The intersection of frailty and metabolism. Cell Metab 2024; 36:893-911. [PMID: 38614092 PMCID: PMC11123589 DOI: 10.1016/j.cmet.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/11/2024] [Accepted: 03/21/2024] [Indexed: 04/15/2024]
Abstract
On average, aging is associated with unfavorable changes in cellular metabolism, which are the processes involved in the storage and expenditure of energy. However, metabolic dysregulation may not occur to the same extent in all older individuals as people age at different rates. Those who are aging rapidly are at increased risk of adverse health outcomes and are said to be "frail." Here, we explore the links between frailty and metabolism, including metabolic contributors and consequences of frailty. We examine how metabolic diseases may modify the degree of frailty in old age and suggest that frailty may predispose toward metabolic disease. Metabolic interventions that can mitigate the degree of frailty in people are reviewed. New treatment strategies developed in animal models that are poised for translation to humans are also considered. We suggest that maintaining a youthful metabolism into older age may be protective against frailty.
Collapse
Affiliation(s)
- Manish Mishra
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Judy Wu
- Institute for Systems Biology, Seattle, WA, USA
| | - Alice E Kane
- Institute for Systems Biology, Seattle, WA, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Susan E Howlett
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada; Department of Medicine (Geriatric Medicine), Dalhousie University, Halifax, NS, Canada.
| |
Collapse
|
4
|
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.
Collapse
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
| |
Collapse
|
5
|
Bordeaux ZA, Reddy SV, Ma EZ, Cornman H, Pritchard T, Marani M, Lu W, Guo S, Zhang C, Khare P, Le A, Kwatra MM, Kwatra SG. Excoriation Disorder Is Characterized by Systemic Glutamatergic Dysfunction. J Invest Dermatol 2024:S0022-202X(24)00161-1. [PMID: 38447865 DOI: 10.1016/j.jid.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 01/27/2024] [Accepted: 02/02/2024] [Indexed: 03/08/2024]
Affiliation(s)
- Zachary A Bordeaux
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Sriya V Reddy
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Emily Z Ma
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hannah Cornman
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Thomas Pritchard
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Melika Marani
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Weiying Lu
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shenghao Guo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Cissy Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Pratik Khare
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland, USA
| | - Anne Le
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of CheBE, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Madan M Kwatra
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA; Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Shawn G Kwatra
- Department of Dermatology, University of Maryland School of Medicine, Baltimore, Maryland, USA; Maryland Itch Center, University of Maryland School of Medicine, Baltimore, Maryland, USA.
| |
Collapse
|
6
|
He D, Wang Z, Li J, Yu K, He Y, He X, Liu Y, Li Y, Fu R, Zhou D, Zhu Y. Changes in frailty and incident cardiovascular disease in three prospective cohorts. Eur Heart J 2024:ehad885. [PMID: 38241094 DOI: 10.1093/eurheartj/ehad885] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 11/20/2023] [Accepted: 12/21/2023] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND AND AIMS Previous studies found that frailty was an important risk factor for cardiovascular disease (CVD). However, previous studies only focused on baseline frailty status, not taking into consideration the changes in frailty status during follow-up. The aim of this study was to investigate the associations of changes in frailty status with incident CVD. METHODS This study used data of three prospective cohorts: China Health and Retirement Longitudinal Study (CHARLS), English Longitudinal Study of Ageing (ELSA), and Health and Retirement Study (HRS). Frailty status was evaluated by the Rockwood frailty index and classified as robust, pre-frail, or frail. Changes in frailty status were assessed by frailty status at baseline and the second survey which was two years after the baseline. Cardiovascular disease was ascertained by self-reported physician-diagnosed heart disease (including angina, heart attack, congestive heart failure, and other heart problems) or stroke. Cox proportional hazard models were used to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) after adjusting for potential confounders. RESULTS A total of 7116 participants from CHARLS (female: 48.6%, mean age: 57.4 years), 5303 from ELSA (female: 57.7%, mean age: 63.7 years), and 7266 from HRS (female: 64.9%, mean age: 65.1 years) were included according to inclusion and exclusion criteria. The median follow-up periods were 5.0 years in the CHARLS, 10.7 years in the ELSA, and 9.5 years in the HRS. Compared with stable robust participants, robust participants who progressed to pre-frail or frail status had increased risks of incident CVD (CHARLS, HR = 1.84, 95% CI: 1.54-2.21; ELSA, HR = 1.53, 95% CI: 1.25-1.86; HRS, HR = 1.59, 95% CI: 1.31-1.92). In contrast, frail participants who recovered to robust or pre-frail status presented decreased risks of incident CVD (CHARLS, HR = 0.62, 95% CI: 0.47-0.81; ELSA, HR = 0.49, 95% CI: 0.34-0.69; HRS, HR = 0.70, 95% CI: 0.55-0.89) when compared with stable frail participants. These decreased risks of incident CVD were also observed in pre-frail participants who recovered to robust status (CHARLS, HR = 0.66, 95% CI: 0.52-0.83; ELSA, HR = 0.65, 95% CI: 0.49-0.85; HRS, HR = 0.71, 95% CI: 0.56-0.91) when compared with stable pre-frail participants. CONCLUSIONS Different changes in frailty status are associated with different risks of incident CVD. Progression of frailty status increases incident CVD risks, while recovery of frailty status decreases incident CVD risks.
Collapse
Affiliation(s)
- Di He
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Zhaoping Wang
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Jun Li
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Kaixin Yu
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Yusa He
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Xinyue He
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Yuanjiao Liu
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Yuhao Li
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Ruiyi Fu
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Dan Zhou
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
- Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| | - Yimin Zhu
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
- Cancer Center, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China
| |
Collapse
|
7
|
Mak JKL, Kananen L, Qin C, Kuja‐Halkola R, Tang B, Lin J, Wang Y, Jääskeläinen T, Koskinen S, Lu Y, Magnusson PKE, Hägg S, Jylhävä J. Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses. Aging Cell 2023; 22:e13868. [PMID: 37184129 PMCID: PMC10410014 DOI: 10.1111/acel.13868] [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: 03/17/2023] [Revised: 04/26/2023] [Accepted: 04/29/2023] [Indexed: 05/16/2023] Open
Abstract
Identifying metabolic biomarkers of frailty, an age-related state of physiological decline, is important for understanding its metabolic underpinnings and developing preventive strategies. Here, we systematically examined 168 nuclear magnetic resonance-based metabolomic biomarkers and 32 clinical biomarkers for their associations with frailty. In up to 90,573 UK Biobank participants, we identified 59 biomarkers robustly and independently associated with the frailty index (FI). Of these, 34 associations were replicated in the Swedish TwinGene study (n = 11,025) and the Finnish Health 2000 Survey (n = 6073). Using two-sample Mendelian randomization, we showed that the genetically predicted level of glycoprotein acetyls, an inflammatory marker, was statistically significantly associated with an increased FI (β per SD increase = 0.37%, 95% confidence interval: 0.12-0.61). Creatinine and several lipoprotein lipids were also associated with increased FI, yet their effects were mostly driven by kidney and cardiometabolic diseases, respectively. Our findings provide new insights into the causal effects of metabolites on frailty and highlight the role of chronic inflammation underlying frailty development.
Collapse
Affiliation(s)
- Jonathan K. L. Mak
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Laura Kananen
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC)University of TampereTampereFinland
| | - Chenxi Qin
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Ralf Kuja‐Halkola
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Bowen Tang
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Jake Lin
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC)University of TampereTampereFinland
- Institute for Molecular Medicine Finland FIMM, Helsinki Institute of Life Science HiLIFE, University of HelsinkiHelsinkiFinland
| | - Yunzhang Wang
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Department of Clinical Sciences, Danderyd HospitalKarolinska InstitutetStockholmSweden
| | | | | | - Yi Lu
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Department of Global Public HealthKarolinska InstitutetStockholmSweden
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Sara Hägg
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Juulia Jylhävä
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC)University of TampereTampereFinland
| |
Collapse
|
8
|
Du K, Zhai C, Li X, Gang H, Gao X. Feature-Based Molecular Networking Facilitates the Comprehensive Identification of Differential Metabolites in Diabetic Cognitive Dysfunction Rats. Metabolites 2023; 13:metabo13040538. [PMID: 37110195 PMCID: PMC10142102 DOI: 10.3390/metabo13040538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/18/2023] [Accepted: 03/31/2023] [Indexed: 04/29/2023] Open
Abstract
Cognitive dysfunction is a frequent complication of type 2 diabetes mellitus (T2DM), usually accompanied by metabolic disorders. However, the metabolic changes in diabetic cognitive dysfunction (DCD) patients, especially compared to T2DM groups, are not fully understood. Due to the subtle differences in metabolic alterations between DCD groups and T2DM groups, the comprehensive detection of the untargeted metabolic profiles of hippocampus and urine samples of rats was conducted by LC-MS, considering the different ionization modes and polarities of the examined compounds, and feature-based molecular networking (FBMN) was performed to help identify differential metabolites from a comprehensive perspective in this study. In addition, an association analysis of the differential metabolites in hippocampus and urine was conducted by the O2PLS model. Finally, a total of 71 hippocampal tissue differential metabolites and 179 urine differential metabolites were identified. The pathway enrichment results showed that glutamine and glutamate metabolism, alanine, aspartate, and glutamate metabolism, glycerol phospholipid metabolism, TCA cycle, and arginine biosynthesis in the hippocampus of DCD animals were changed. Seven metabolites (AUC > 0.9) in urine appeared as key differential metabolites that might reflect metabolic changes in the target tissue of DCD rats. This study showed that FBMN facilitated the comprehensive identification of differential metabolites in DCD rats. The differential metabolites may suggest an underlying DCD and be considered as potential biomarkers for DCD. Large samples and clinical experiments are needed for the subsequent elucidation of the possible mechanisms leading to these alterations and the verification of potential biomarkers.
Collapse
Affiliation(s)
- Ke Du
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing102488, China
| | - Chuanjia Zhai
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing102488, China
| | - Xuejiao Li
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing102488, China
| | - Hongchuan Gang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing102488, China
| | - Xiaoyan Gao
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing102488, China
| |
Collapse
|
9
|
Calvani R, Picca A, Rodriguez-Mañas L, Tosato M, Coelho-Júnior HJ, Biancolillo A, Laosa O, Gervasoni J, Primiano A, Santucci L, Giampaoli O, Bourdel-Marchasson I, Regueme SC, Sinclair AJ, Urbani A, Landi F, Gambassi G, Marini F, Marzetti E. Amino Acid Profiles in Older Adults with Frailty: Secondary Analysis from MetaboFrail and BIOSPHERE Studies. Metabolites 2023; 13:metabo13040542. [PMID: 37110200 PMCID: PMC10147014 DOI: 10.3390/metabo13040542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/07/2023] [Accepted: 04/09/2023] [Indexed: 04/29/2023] Open
Abstract
An altered amino acid metabolism has been described in frail older adults which may contribute to muscle loss and functional decline associated with frailty. In the present investigation, we compared circulating amino acid profiles of older adults with physical frailty and sarcopenia (PF&S, n = 94), frail/pre-frail older adults with type 2 diabetes mellitus (F-T2DM, n = 66), and robust non-diabetic controls (n = 40). Partial least squares discriminant analysis (PLS-DA) models were built to define the amino acid signatures associated with the different frailty phenotypes. PLS-DA allowed correct classification of participants with 78.2 ± 1.9% accuracy. Older adults with F-T2DM showed an amino acid profile characterized by higher levels of 3-methylhistidine, alanine, arginine, ethanolamine, and glutamic acid. PF&S and control participants were discriminated based on serum concentrations of aminoadipic acid, aspartate, citrulline, cystine, taurine, and tryptophan. These findings suggest that different types of frailty may be characterized by distinct metabolic perturbations. Amino acid profiling may therefore serve as a valuable tool for frailty biomarker discovery.
Collapse
Affiliation(s)
- Riccardo Calvani
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Anna Picca
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
- Department of Medicine and Surgery, LUM University, 70010 Casamassima, Italy
| | - Leocadio Rodriguez-Mañas
- Servicio de Geriatría, Hospital Universitario de Getafe, 28905 Getafe, Spain
- Centro de Investigación Biomédica en Red "Fragilidad y Envejecimiento Saludable" (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Matteo Tosato
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Hélio José Coelho-Júnior
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Alessandra Biancolillo
- Department of Physical and Chemical Sciences, Università degli Studi dell'Aquila, 67100 L'Aquila, Italy
| | - Olga Laosa
- Department of Medicine and Surgery, LUM University, 70010 Casamassima, Italy
- Geriatric Research Group, Biomedical Research Foundation at Getafe University Hospital, 28905 Getafe, Spain
| | - Jacopo Gervasoni
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Aniello Primiano
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Lavinia Santucci
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Ottavia Giampaoli
- Department of Chemistry, Sapienza Università di Roma, 00185 Rome, Italy
| | - Isabelle Bourdel-Marchasson
- Clinical Gerontology Department, Bordeaux University Hospital, 33000 Bordeaux, France
- CRMSB, CNRS UMR 5536, Université de Bordeaux, 33000 Bordeaux, France
| | - Sophie C Regueme
- CHU Bordeaux, Pole Gérontologie Clinique, 33000 Bordeaux, France
| | - Alan J Sinclair
- Foundation for Diabetes Research in Older People (fDROP), King's College, London WC2R 2LS, UK
| | - Andrea Urbani
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Francesco Landi
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Giovanni Gambassi
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Federico Marini
- Department of Chemistry, Sapienza Università di Roma, 00185 Rome, Italy
| | - Emanuele Marzetti
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| |
Collapse
|
10
|
Dzięgielewska-Gęsiak S, Muc-Wierzgoń M. Inflammation and Oxidative Stress in Frailty and Metabolic Syndromes-Two Sides of the Same Coin. Metabolites 2023; 13:475. [PMID: 37110134 PMCID: PMC10144989 DOI: 10.3390/metabo13040475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/21/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023] Open
Abstract
In developed countries, aging is often seen as typical, but it is made complicated by many disorders and co-morbidities. Insulin resistance seems to be an underlying pathomechanism in frailty and metabolic syndromes. The decline in insulin sensitivity leads to changes in the oxidant-antioxidant balance and an accelerated inflammatory response, especially by adipocytes and macrophages in adipose tissue, as well as muscle mass density. Thus, in the pathophysiology of syndemic disorders-the metabolic syndrome and frailty syndrome-an extremely important role may be played by increased oxidative stress and pro-inflammatory state. Papers included in this review explored available full texts and the reference lists of relevant studies from the last 20 years, before the end of 2022; we also investigated the PubMed and Google Scholar electronic databases. The online resources describing an elderly population (≥65 years old) published as full texts were searched for the following terms: "oxidative stress and/or inflammation", "frailty and/or metabolic syndrome". Then, all resources were analyzed and narratively described in the context of oxidative stress and/or inflammation markers which underlie pathomechanisms of frailty and/or metabolic syndromes in elderly patients. So far, different metabolic pathways discussed in this review show that a similar pathogenesis underlies the development of the metabolic as well as frailty syndromes in the context of increased oxidative stress and acceleration of inflammation. Thus, we argue that the syndemia of the syndromes represents two sides of the same coin.
Collapse
Affiliation(s)
- Sylwia Dzięgielewska-Gęsiak
- Department of Internal Medicine Prevention, Medical University of Silesia in Katowice, 40-055 Katowice, Poland
| | | |
Collapse
|