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Ravikrishnan A, Wijaya I, Png E, Chng KR, Ho EXP, Ng AHQ, Mohamed Naim AN, Gounot JS, Guan SP, Hanqing JL, Guan L, Li C, Koh JY, de Sessions PF, Koh WP, Feng L, Ng TP, Larbi A, Maier AB, Kennedy BK, Nagarajan N. Gut metagenomes of Asian octogenarians reveal metabolic potential expansion and distinct microbial species associated with aging phenotypes. Nat Commun 2024; 15:7751. [PMID: 39237540 PMCID: PMC11377447 DOI: 10.1038/s41467-024-52097-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 08/23/2024] [Indexed: 09/07/2024] Open
Abstract
While rapid demographic changes in Asia are driving the incidence of chronic aging-related diseases, the limited availability of high-quality in vivo data hampers our ability to understand complex multi-factorial contributions, including gut microbial, to healthy aging. Leveraging a well-phenotyped cohort of community-living octogenarians in Singapore, we used deep shotgun-metagenomic sequencing for high-resolution taxonomic and functional characterization of their gut microbiomes (n = 234). Joint species-level analysis with other Asian cohorts identified distinct age-associated shifts characterized by reduction in microbial richness, and specific Alistipes and Bacteroides species enrichment (e.g., Alistipes shahii and Bacteroides xylanisolvens). Functional analysis confirmed these changes correspond to metabolic potential expansion in aging towards alternate pathways synthesizing and utilizing amino-acid precursors, vis-à-vis dominant microbial guilds producing butyrate in gut from pyruvate (e.g., Faecalibacterium prausnitzii, Roseburia inulinivorans). Extending these observations to key clinical markers helped identify >10 robust microbial associations to inflammation, cardiometabolic and liver health, including potential probiotic species (e.g., Parabacteroides goldsteinii) and pathobionts (e.g., Klebsiella pneumoniae), highlighting the microbiome's role as biomarkers and potential targets for promoting healthy aging.
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Affiliation(s)
- Aarthi Ravikrishnan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Indrik Wijaya
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Eileen Png
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Kern Rei Chng
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Eliza Xin Pei Ho
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Amanda Hui Qi Ng
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Ahmad Nazri Mohamed Naim
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Jean-Sebastien Gounot
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Shou Ping Guan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Jasinda Lee Hanqing
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Lihuan Guan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Chenhao Li
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Jia Yu Koh
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Paola Florez de Sessions
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Woon-Puay Koh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
| | - Lei Feng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Tze Pin Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Anis Larbi
- Singapore Immunology Network (SigN), Agency for Science Technology and Research (A*STAR), 8A Biomedical Grove, Immunos, Singapore, 138648, Republic of Singapore
| | - Andrea B Maier
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Brian K Kennedy
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Niranjan Nagarajan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore.
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McLean S, Lee M, Liu W, Hameed R, Gujjala VA, Zhou X, Kaeberlein M, Kaya A. Molecular mechanisms of genotype-dependent lifespan variation mediated by caloric restriction: insight from wild yeast isolates. FRONTIERS IN AGING 2024; 5:1408160. [PMID: 39055969 PMCID: PMC11269085 DOI: 10.3389/fragi.2024.1408160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 06/11/2024] [Indexed: 07/28/2024]
Abstract
Caloric restriction (CR) is known to extend lifespan across different species and holds great promise for preventing human age-onset pathologies. However, two major challenges exist. First, despite extensive research, the mechanisms of lifespan extension in response to CR remain elusive. Second, genetic differences causing variations in response to CR and genetic factors contributing to variability of CR response on lifespan are largely unknown. Here, we took advantage of natural genetic variation across 46 diploid wild yeast isolates of Saccharomyces species and the lifespan variation under CR conditions to uncover the molecular factors associated with CR response types. We identified genes and metabolic pathways differentially regulated in CR-responsive versus non-responsive strains. Our analysis revealed that altered mitochondrial function and activation of GCN4-mediated environmental stress response are inevitably linked to lifespan variation in response to CR and a unique mitochondrial metabolite might be utilized as a predictive marker for CR response rate. In sum, our data suggests that the effects of CR on longevity may not be universal, even among the closely related species or strains of a single species. Since mitochondrial-mediated signaling pathways are evolutionarily conserved, the dissection of related genetic pathways will be relevant to understanding the mechanism by which CR elicits its longevity effect.
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Affiliation(s)
- Samantha McLean
- Department of Biology, Virginia Commonwealth University, Richmond, VA, United States
| | - Mitchell Lee
- Department of Pathology, University of Washington, Seattle, WA, United States
- Ora Biomedical, Seattle, WA, United States
| | - Weiqiang Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
| | - Rohil Hameed
- Department of Biology, Virginia Commonwealth University, Richmond, VA, United States
| | - Vikas Anil Gujjala
- Department of Biology, Virginia Commonwealth University, Richmond, VA, United States
| | - Xuming Zhou
- Key Laboratory of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
| | - Matt Kaeberlein
- Department of Pathology, University of Washington, Seattle, WA, United States
- Optispan, Seattle, WA, United States
| | - Alaattin Kaya
- Department of Biology, Virginia Commonwealth University, Richmond, VA, United States
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McGee EE, Zeleznik OA, Balasubramanian R, Hu J, Rosner BA, Wactawski-Wende J, Clish CB, Avila-Pacheco J, Willett WC, Rexrode KM, Tamimi RM, Eliassen AH. Differences in metabolomic profiles between Black and White women in the U.S.: Analyses from two prospective cohorts. Eur J Epidemiol 2024; 39:653-665. [PMID: 38703248 DOI: 10.1007/s10654-024-01111-x] [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: 11/22/2023] [Accepted: 02/26/2024] [Indexed: 05/06/2024]
Abstract
There is growing interest in incorporating metabolomics into public health practice. However, Black women are under-represented in many metabolomics studies. If metabolomic profiles differ between Black and White women, this under-representation may exacerbate existing Black-White health disparities. We therefore aimed to estimate metabolomic differences between Black and White women in the U.S. We leveraged data from two prospective cohorts: the Nurses' Health Study (NHS; n = 2077) and Women's Health Initiative (WHI; n = 2128). The WHI served as the replication cohort. Plasma metabolites (n = 334) were measured via liquid chromatography-tandem mass spectrometry. Observed metabolomic differences were estimated using linear regression and metabolite set enrichment analyses. Residual metabolomic differences in a hypothetical population in which the distributions of 14 risk factors were equalized across racial groups were estimated using inverse odds ratio weighting. In the NHS, Black-White differences were observed for most metabolites (75 metabolites with observed differences ≥ |0.50| standard deviations). Black women had lower average levels than White women for most metabolites (e.g., for N6, N6-dimethlylysine, mean Black-White difference = - 0.98 standard deviations; 95% CI: - 1.11, - 0.84). In metabolite set enrichment analyses, Black women had lower levels of triglycerides, phosphatidylcholines, lysophosphatidylethanolamines, phosphatidylethanolamines, and organoheterocyclic compounds, but higher levels of phosphatidylethanolamine plasmalogens, phosphatidylcholine plasmalogens, cholesteryl esters, and carnitines. In a hypothetical population in which distributions of 14 risk factors were equalized, Black-White metabolomic differences persisted. Most results replicated in the WHI (88% of 272 metabolites available for replication). Substantial differences in metabolomic profiles exist between Black and White women. Future studies should prioritize racial representation.
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Affiliation(s)
- Emma E McGee
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Raji Balasubramanian
- Division of Women's Health, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jie Hu
- Division of Women's Health, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Bernard A Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Julian Avila-Pacheco
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kathryn M Rexrode
- Division of Women's Health, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medical College, New York, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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4
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Lozada‐Martinez ID, Lozada‐Martinez LM, Anaya J. Gut microbiota in centenarians: A potential metabolic and aging regulator in the study of extreme longevity. Aging Med (Milton) 2024; 7:406-413. [PMID: 38975304 PMCID: PMC11222757 DOI: 10.1002/agm2.12336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 04/30/2024] [Accepted: 05/30/2024] [Indexed: 07/09/2024] Open
Abstract
Centenarians, those aged 100 years or older, are considered the most successful biological aging model in humans. This population is commonly characterized by a low prevalence of chronic diseases, with favorable maintenance of functionality and independence, thus determining a health phenotype of successful aging. There are many factors usually associated with extreme longevity: genetics, lifestyles, diet, among others. However, it is most likely a multifactorial condition where protective factors contribute individually to some extent. The gut microbiota (GM) has emerged as a potential factor associated with the establishment of a favorable health phenotype that allows for extreme longevity, as seen in centenarians. To understand the possible impact generated by the GM, its changes, and the probable causes for successful aging, the aim of this review was to synthesize evidence on the role of the GM as a potential protective factor for achieving extreme longevity, using its relationship with centenarians.
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Affiliation(s)
- Ivan David Lozada‐Martinez
- Health Research and Innovation Center at Coosalud EPSCartagenaColombia
- Universidad de la CostaBarranquillaColombia
| | | | - Juan‐Manuel Anaya
- Health Research and Innovation Center at Coosalud EPSCartagenaColombia
- Universidad de la CostaBarranquillaColombia
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Lozada-Martinez ID, Diazgranados-Garcia MC, Castelblanco-Toro S, Anaya JM. Global Research on Centenarians: A Historical and Comprehensive Bibliometric Analysis from 1887 to 2023. Ann Geriatr Med Res 2024; 28:144-155. [PMID: 38584431 PMCID: PMC11217658 DOI: 10.4235/agmr.24.0043] [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: 02/17/2024] [Revised: 03/19/2024] [Accepted: 03/27/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Centenarians are considered the most successful human biological aging model. However, the characteristics and patterns of research among centenarians have not been described or analyzed. Thus, this study aimed to disclose the historical landscape of global research on centenarians. METHODS This bibliometric study investigated historical evidence on centenarian research published in the Scopus database. The bibliometrix package in R was used to perform visual and quantitative analyses of research metrics, trends, and patterns. RESULTS Of the 2,061 documents included between 1887 and 2023, 84.2% (n=1,736) were published as articles with primary data. We identified international collaboration and annual growth rates of 21.4% and 3.15%, respectively. The United States published the highest number of papers on centenarians (n=786), whereas the publications from Italy had the highest impact (h-index of 90). Based on the frequency of keywords, mortality, genetics, dementia, Alzheimer's disease, and immunosenescence are a few of the most studied topics among centenarians, with emerging research related to mitochondrial DNA and comparison of results between nonagenarians and centenarians. Italy, the United States, and China lead the global research collaboration network, collaborating most frequently with Japan and European countries. CONCLUSION Global research on centenarians has grown over the last 20 years, primarily led by Italy, the United States, and China. Latin American and African countries have conducted little or no research on centenarians. The most widely studied topics include mortality, cognition, immunosenescence, and genetics.
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Affiliation(s)
- Ivan David Lozada-Martinez
- Health Research and Innovation Center at Coosalud EPS, Cartagena, Colombia
- Colombian Centenarians Alliance, Cartagena, Colombia
| | | | - Sandra Castelblanco-Toro
- Colombian Centenarians Alliance, Cartagena, Colombia
- Intellectus Memory and Cognition Center, Hospital Universitario San Ignacio, Bogotá, Colombia
- Institute of Aging, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Juan-Manuel Anaya
- Health Research and Innovation Center at Coosalud EPS, Cartagena, Colombia
- Colombian Centenarians Alliance, Cartagena, Colombia
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Anaya JM, Lozada-Martinez ID, Torres I, Shoenfeld Y. Autoimmunity in centenarians. A paradox. J Transl Autoimmun 2024; 8:100237. [PMID: 38468861 PMCID: PMC10926223 DOI: 10.1016/j.jtauto.2024.100237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/13/2024] Open
Abstract
Autoimmune diseases (ADs) are one of the groups of chronic illnesses that impose a significant burden of disease and health costs worldwide. Age is a crucial risk factor for the onset of ADs. Theoretically, it is inferred that with organic and immune system aging, the loss of immune tolerance and specificity of immune activity becomes more intense, the probability of autoimmunity is increasing. However, there is a group of individuals whose prevalence of ADs is very low or non-existent, despite the biological aging. This paradox in autoimmunity raises questions. Centenarians, individuals who are over 100 years old, are possibly the most successful model of biological aging in humans. Most of these individuals exhibit a favorable health phenotype. To date, primary data evidence and potential hypotheses explaining this phenomenon are lacking globally, even though this paradox could provide valuable, original, and relevant information regarding the understanding of risk or protective factors, biological drivers, and biomarkers related to autoimmunity. Herein we discuss some hypothesis that may explain the absence of ADs in centenarians, including inflammaging, immunosenescence and immune resilience, immune system hyperstimulation, proteodynamics, and genetics.
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Affiliation(s)
- Juan-Manuel Anaya
- Health Research and Innovation Center at Coosalud EPS, Cartagena, 130001, Colombia
| | | | - Isaura Torres
- Medical Sciences Research Group, School of Life Sciences and Medicine, Universidad EIA, Envigado, Colombia
| | - Yehuda Shoenfeld
- Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer 5265601, Reichman University, Herzliya, Israel
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7
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McLean S, Lee M, Liu W, Hameed R, Gujjala VA, Zhou X, Kaeberlein M, Kaya A. Molecular Mechanisms of Genotype-Dependent Lifespan Variation Mediated by Caloric Restriction: Insight from Wild Yeast Isolates. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.17.585422. [PMID: 38559208 PMCID: PMC10979966 DOI: 10.1101/2024.03.17.585422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Caloric restriction (CR) is known to extend lifespan across different species and holds great promise for preventing human age-onset pathologies. However, two major challenges exist. First, despite extensive research, the mechanisms of lifespan extension in response to CR remain elusive. Second, genetic differences causing variations in response to CR and genetic factors contributing to variability of CR response on lifespan are largely unknown. Here, we took advantage of natural genetic variation across 46 diploid wild yeast isolates of Saccharomyces species and the lifespan variation under CR conditions to uncover the molecular factors associated with CR response types. We identified genes and metabolic pathways differentially regulated in CR-responsive versus non-responsive strains. Our analysis revealed that altered mitochondrial function and activation of GCN4-mediated environmental stress response are inevitably linked to lifespan variation in response to CR and a unique mitochondrial metabolite might be utilized as a predictive marker for CR response rate. In sum, our data suggests that the effects of CR on longevity may not be universal, even among the closely related species or strains of a single species. Since mitochondrial-mediated signaling pathways are evolutionarily conserved, the dissection of related genetic pathways will be relevant to understanding the mechanism by which CR elicits its longevity effect.
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Affiliation(s)
- Samantha McLean
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284 USA
| | - Mitchell Lee
- Department of Pathology, University of Washington, Seattle, WA, 98195, USA
- Ora Biomedical, Seattle, WA, 98168, USA
| | - Weiqiang Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
| | - Rohil Hameed
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284 USA
| | - Vikas Anil Gujjala
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284 USA
| | - Xuming Zhou
- Key Laboratory of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
| | - Matt Kaeberlein
- Department of Pathology, University of Washington, Seattle, WA, 98195, USA
- Optispan, Seattle, WA, 98168, USA
| | - Alaattin Kaya
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284 USA
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Ottosson F, Engström G, Orho‐Melander M, Melander O, Nilsson PM, Johansson M. Plasma Metabolome Predicts Aortic Stiffness and Future Risk of Coronary Artery Disease and Mortality After 23 Years of Follow-Up in the General Population. J Am Heart Assoc 2024; 13:e033442. [PMID: 38639368 PMCID: PMC11179945 DOI: 10.1161/jaha.123.033442] [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: 11/08/2023] [Accepted: 03/29/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Increased aortic stiffness (arteriosclerosis) is associated with early vascular aging independent of age and sex. The underlying mechanisms of early vascular aging remain largely unexplored in the general population. We aimed to investigate the plasma metabolomic profile in aortic stiffness (vascular aging) and associated risk of incident cardiovascular disease and mortality. METHODS AND RESULTS We included 6865 individuals from 2 Swedish population-based cohorts. Untargeted plasma metabolomics was performed by liquid-chromatography mass spectrometry. Aortic stiffness was assessed directly by carotid-femoral pulse wave velocity (PWV) and indirectly by augmentation index (AIx@75). A least absolute shrinkage and selection operator (LASSO) regression model was created on plasma metabolites in order to predict aortic stiffness. Associations between metabolite-predicted aortic stiffness and risk of new-onset cardiovascular disease, cardiovascular mortality, and all-cause mortality were calculated. Metabolite-predicted aortic stiffness (PWV and AIx@75) was positively associated particularly with acylcarnitines, dimethylguanidino valeric acid, glutamate, and cystine. The plasma metabolome predicted aortic stiffness (PWV and AIx@75) with good accuracy (R2=0.27 and R2=0.39, respectively). Metabolite-predicted aortic stiffness (PWV and AIx@75) was significantly correlated with age, sex, systolic blood pressure, body mass index, and low-density lipoprotein. After 23 years of follow-up, metabolite-predicted aortic stiffness (PWV and AIx@75) was significantly associated with increased risk of new-onset coronary artery disease, cardiovascular mortality, and all-cause mortality. CONCLUSIONS Aortic stiffness is associated particularly with altered metabolism of acylcarnitines, cystine, and dimethylguanidino valeric acid. These metabolic disturbances predict increased risk of new-onset coronary artery disease, cardiovascular mortality, and all-cause mortality after more than 23 years of follow-up in the general population.
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Affiliation(s)
- Filip Ottosson
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Section for Clinical Mass SpectrometryStatens Serum InstitutCopenhagenDenmark
| | - Gunnar Engström
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
| | | | - Olle Melander
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Department of Internal MedicineSkåne University HospitalMalmöSweden
| | - Peter M. Nilsson
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Department of Internal MedicineSkåne University HospitalMalmöSweden
| | - Madeleine Johansson
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Department of CardiologySkåne University HospitalMalmöSweden
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9
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Heianza Y, Xue Q, Rood J, Clish CB, Bray GA, Sacks FM, Qi L. Changes in bile acid subtypes and improvements in lipid metabolism and atherosclerotic cardiovascular disease risk: the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) trial. Am J Clin Nutr 2024; 119:1293-1300. [PMID: 38428740 PMCID: PMC11130658 DOI: 10.1016/j.ajcnut.2024.02.019] [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: 08/30/2023] [Revised: 01/26/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Distinct circulating bile acid (BA) subtypes may play roles in regulating lipid homeostasis and atherosclerosis. OBJECTIVES We investigated whether changes in circulating BA subtypes induced by weight-loss dietary interventions were associated with improved lipid profiles and atherosclerotic cardiovascular disease (ASCVD) risk estimates. METHODS This study included adults with overweight or obesity (n = 536) who participated in a randomized weight-loss dietary intervention trial. Circulating primary and secondary unconjugated BAs and their taurine-/glycine-conjugates were measured at baseline and 6 mo after the weight-loss diet intervention. The ASCVD risk estimates were calculated using the validated equations. RESULTS At baseline, higher concentrations of specific BA subtypes were related to higher concentrations of atherogenic very low-density lipoprotein lipid subtypes and ASCVD risk estimates. Weight-loss diet-induced decreases in primary BAs were related to larger reductions in triglycerides and total cholesterol [every 1 standard deviation (SD) decrease of glycocholate, glycochenodeoxycholate, or taurochenodeoxycholate was related to β (standard error) -3.3 (1.3), -3.4 (1.3), or -3.8 (1.3) mg/dL, respectively; PFDR < 0.05 for all]. Greater decreases in specific secondary BA subtypes were also associated with improved lipid metabolism at 6 mo; there was β -4.0 (1.1) mg/dL per 1-SD decrease of glycoursodeoxycholate (PFDR =0.003) for changes in low-density lipoprotein cholesterol. We found significant interactions (P-interaction < 0.05) between dietary fat intake and changes in BA subtypes on changes in ASCVD risk estimates; decreases in primary and secondary BAs (such as conjugated cholate or deoxycholate) were significantly associated with improved ASCVD risk after consuming a high-fat diet, but not after consuming a low-fat diet. CONCLUSIONS Decreases in distinct BA subtypes were associated with improved lipid profiles and ASCVD risk estimates, highlighting the importance of changes in circulating BA subtypes as significant factors linked to improved lipid metabolism and ASCVD risk estimates in response to weight-loss dietary interventions. Habitual dietary fat intake may modify the associations of changes in BAs with ASCVD risk. This trial was registered at clinicaltrials.gov as NCT00072995.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
| | - Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
| | - Jennifer Rood
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States
| | - Clary B Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
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10
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Yao S, Colangelo LA, Perry AS, Marron MM, Yaffe K, Sedaghat S, Lima JAC, Tian Q, Clish CB, Newman AB, Shah RV, Murthy VL. Implications of metabolism on multi-systems healthy aging across the lifespan. Aging Cell 2024; 23:e14090. [PMID: 38287525 PMCID: PMC11019145 DOI: 10.1111/acel.14090] [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: 07/24/2023] [Revised: 12/30/2023] [Accepted: 01/11/2024] [Indexed: 01/31/2024] Open
Abstract
Aging is increasingly thought to involve dysregulation of metabolism in multiple organ systems that culminate in decreased functional capacity and morbidity. Here, we seek to understand complex interactions among metabolism, aging, and systems-wide phenotypes across the lifespan. Among 2469 adults (mean age 74.7 years; 38% Black) in the Health, Aging and Body Composition study we identified metabolic cross-sectionally correlates across 20 multi-dimensional aging-related phenotypes spanning seven domains. We used LASSO-PCA and bioinformatic techniques to summarize metabolome-phenome relationships and derive metabolic scores, which were subsequently linked to healthy aging, mortality, and incident outcomes (cardiovascular disease, disability, dementia, and cancer) over 9 years. To clarify the relationship of metabolism in early adulthood to aging, we tested association of these metabolic scores with aging phenotypes/outcomes in 2320 participants (mean age 32.1, 44% Black) of the Coronary Artery Risk Development in Young Adults (CARDIA) study. We observed significant overlap in metabolic correlates across the seven aging domains, specifying pathways of mitochondrial/cellular energetics, host-commensal metabolism, inflammation, and oxidative stress. Across four metabolic scores (body composition, mental-physical performance, muscle strength, and physical activity), we found strong associations with healthy aging and incident outcomes, robust to adjustment for risk factors. Metabolic scores for participants four decades younger in CARDIA were related to incident cardiovascular, metabolic, and neurocognitive performance, as well as long-term cardiovascular disease and mortality over three decades. Conserved metabolic states are strongly related to domain-specific aging and outcomes over the life-course relevant to energetics, host-commensal interactions, and mechanisms of innate immunity.
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Affiliation(s)
- Shanshan Yao
- University of PittsburgPittsburghPennsylvaniaUSA
| | | | | | | | | | | | | | - Qu Tian
- National Institute of AgingBaltimoreMarylandUSA
| | - Clary B. Clish
- Broad Institute of Harvard and MITCambridgeMassachusettsUSA
| | | | - Ravi V. Shah
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
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11
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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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12
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Jiao B, Ouyang Z, Liu Q, Xu T, Wan M, Ma G, Zhou L, Guo J, Wang J, Tang B, Zhao Z, Shen L. Integrated analysis of gut metabolome, microbiome, and brain function reveal the role of gut-brain axis in longevity. Gut Microbes 2024; 16:2331434. [PMID: 38548676 PMCID: PMC10984123 DOI: 10.1080/19490976.2024.2331434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 03/13/2024] [Indexed: 04/02/2024] Open
Abstract
The role of microbiota-gut-brain axis in modulating longevity remains undetermined. Here, we performed a multiomics analysis of gut metagenomics, gut metabolomics, and brain functional near-infrared spectroscopy (fNIRS) in a cohort of 164 participants, including 83 nonagenarians (NAs) and 81 non-nonagenarians (NNAs) matched with their spouses and offspring. We found that 438 metabolites were significantly different between the two groups; among them, neuroactive compounds and anti-inflammatory substances were enriched in NAs. In addition, increased levels of neuroactive metabolites in NAs were significantly associated with NA-enriched species that had three corresponding biosynthetic potentials: Enterocloster asparagiformis, Hungatella hathewayi and Oxalobacter formigenes. Further analysis showed that the altered gut microbes and metabolites were linked to the enhanced brain connectivity in NAs, including the left dorsolateral prefrontal cortex (DLPFC)-left premotor cortex (PMC), left DLPFC-right primary motor area (M1), and right inferior frontal gyrus (IFG)-right M1. Finally, we found that neuroactive metabolites, altered microbe and enhanced brain connectivity contributed to the cognitive preservation in NAs. Our findings provide a comprehensive understanding of the microbiota-gut-brain axis in a long-lived population and insights into the establishment of a microbiome and metabolite homeostasis that can benefit human longevity and cognition by enhancing functional brain connectivity.
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Affiliation(s)
- Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Engineering Research Centre of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Ziyu Ouyang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qianqian Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Tianyan Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Meidan Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Guangrong Ma
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Lu Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Engineering Research Centre of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Junling Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Engineering Research Centre of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Engineering Research Centre of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Zhixiang Zhao
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Engineering Research Centre of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Xiangya Hospital, Central South University, Changsha, China
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13
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Lee DH, Jin Q, Shi N, Wang F, Bever AM, Liang L, Hu FB, Song M, Zeleznik OA, Zhang X, Joshi A, Wu K, Jeon JY, Meyerhardt JA, Chan AT, Eliassen AH, Clish C, Clinton SK, Giovannucci EL, Li J, Tabung FK. The metabolic potential of inflammatory and insulinaemic dietary patterns and risk of type 2 diabetes. Diabetologia 2024; 67:88-101. [PMID: 37816982 DOI: 10.1007/s00125-023-06021-3] [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: 04/08/2023] [Accepted: 08/31/2023] [Indexed: 10/12/2023]
Abstract
AIMS/HYPOTHESIS Diets with higher inflammatory and insulinaemic potential have been associated with an increased risk of type 2 diabetes. However, it remains unknown whether plasma metabolomic profiles related to proinflammatory/hyperinsulinaemic diets and to inflammatory/insulin biomarkers are associated with type 2 diabetes risk. METHODS We analysed 6840 participants from the Nurses' Health Study and Health Professionals Follow-up Study to identify the plasma metabolome related to empirical dietary inflammatory pattern (EDIP), empirical dietary index for hyperinsulinemia (EDIH), four circulating inflammatory biomarkers and C-peptide. Dietary intakes were assessed using validated food frequency questionnaires. Plasma metabolomic profiling was conducted by LC-MS/MS. Metabolomic signatures were derived using elastic net regression. Multivariable Cox regression was used to examine associations of the metabolomic profiles with type 2 diabetes risk. RESULTS We identified 27 metabolites commonly associated with both EDIP and inflammatory biomarker z score and 21 commonly associated with both EDIH and C-peptide. Higher metabolomic dietary inflammatory potential (MDIP), reflecting higher metabolic potential of both an inflammatory dietary pattern and circulating inflammatory biomarkers, was associated with higher type 2 diabetes risk. The HR comparing highest vs lowest quartiles of MDIP was 3.26 (95% CI 2.39, 4.44). We observed a strong positive association with type 2 diabetes risk for the metabolomic signature associated with EDIP-only (HR 3.75; 95% CI 2.71, 5.17) or inflammatory biomarkers-only (HR 4.07; 95% CI 2.91, 5.69). In addition, higher metabolomic dietary index for hyperinsulinaemia (MDIH), reflecting higher metabolic potential of both an insulinaemic dietary pattern and circulating C-peptide, was associated with greater type 2 diabetes risk (HR 3.00; 95% CI 2.22, 4.06); further associations with type 2 diabetes were HR 2.79 (95% CI 2.07, 3.76) for EDIH-only signature and HR 3.89 (95% CI 2.82, 5.35) for C-peptide-only signature. The diet scores were significantly associated with risk, although adjustment for the corresponding metabolomic signature scores attenuated the associations with type 2 diabetes, these remained significant. CONCLUSIONS/INTERPRETATION The metabolomic signatures reflecting proinflammatory or hyperinsulinaemic diets and related biomarkers were positively associated with type 2 diabetes risk, supporting that these dietary patterns may influence type 2 diabetes risk via the regulation of metabolism.
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Affiliation(s)
- Dong Hoon Lee
- Department of Sport Industry Studies, Yonsei University, Seoul, Republic of Korea
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qi Jin
- Department of Exercise and Nutrition Sciences, Moyes College of Education, Weber State University, Ogden, UT, USA
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH, USA
| | - Ni Shi
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alaina M Bever
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Amit Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Justin Y Jeon
- Department of Sport Industry Studies, Yonsei University, Seoul, Republic of Korea
- Cancer Prevention Center, Yonsei Cancer Center, Seoul, Republic of Korea
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - A Heather Eliassen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Clary Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Steven K Clinton
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH, USA
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Fred K Tabung
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH, USA.
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA.
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14
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Janssens GE, Grevendonk L, Schomakers BV, Perez RZ, van Weeghel M, Schrauwen P, Hoeks J, Houtkooper RH. A metabolomic signature of decelerated physiological aging in human plasma. GeroScience 2023; 45:3147-3164. [PMID: 37259015 PMCID: PMC10643795 DOI: 10.1007/s11357-023-00827-0] [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: 01/04/2023] [Accepted: 05/13/2023] [Indexed: 06/02/2023] Open
Abstract
The degenerative processes that occur during aging increase the risk of disease and impaired health. Meanwhile, interventions that target aging to promote healthy longevity are gaining interest, both academically and in the public. While nutritional and physical interventions exist, efficacy is often difficult to determine. It is therefore imperative that an aging score measuring the biological aging process is available to the wider public. However, simple, interpret, and accessible biological aging scores are lacking. Here, we developed PhysiAge, a physiological aging score based on five accessible parameters that have influence on or reflect the aging process: (1) average daily step count, (2) blood glucose, (3) systolic blood pressure, (4) sex, and (5) age. Here, we found that compared to calendar age alone, PhysiAge better predicts mortality, as well as established muscle aging markers such as decrease in NAD+ levels, increase in oxidative stress, and decline in physical functioning. In order to demonstrate the usefulness of PhysiAge in identifying relevant factors associated with decelerated aging, we calculated PhysiAges for a cohort of aged individuals and obtained mass spectrometry-based blood plasma metabolomic profiles for each individual. Here, we identified a metabolic signature of decelerated aging, which included components of the TCA cycle, including malate, citrate, and isocitrate. Higher abundance of these metabolites was associated with decelerated aging, in line with supplementation studies in model organisms. PhysiAge represents an accessible way for people to track and intervene in their aging trajectories, and identifies a metabolic signature of decelerated aging in human blood plasma, which can be further studied for its causal involvement in human aging.
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Affiliation(s)
- Georges E Janssens
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, The Netherlands.
| | - Lotte Grevendonk
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD, Maastricht, The Netherlands
- TI Food and Nutrition, PO Box 557, 6700 AN, Wageningen, The Netherlands
| | - Bauke V Schomakers
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Ruben Zapata Perez
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- Faculty of Health Sciences, UCAM - Universidad Católica de Murcia, 30107, Murcia, Spain
| | - Michel van Weeghel
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD, Maastricht, The Netherlands
- TI Food and Nutrition, PO Box 557, 6700 AN, Wageningen, The Netherlands
| | - Joris Hoeks
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, The Netherlands
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD, Maastricht, The Netherlands
| | - Riekelt H Houtkooper
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, The Netherlands.
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
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15
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Perry AS, Zhao S, Gajjar P, Murthy VL, Lehallier B, Miller P, Nair S, Neill C, Carr JJ, Fearon W, Kapadia S, Kumbhani D, Gillam L, Lindenfeld J, Farrell L, Marron MM, Tian Q, Newman AB, Murabito J, Gerszten RE, Nayor M, Elmariah S, Lindman BR, Shah R. Proteomic architecture of frailty across the spectrum of cardiovascular disease. Aging Cell 2023; 22:e13978. [PMID: 37731195 PMCID: PMC10652351 DOI: 10.1111/acel.13978] [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: 06/05/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023] Open
Abstract
While frailty is a prominent risk factor in an aging population, the underlying biology of frailty is incompletely described. Here, we integrate 979 circulating proteins across a wide range of physiologies with 12 measures of frailty in a prospective discovery cohort of 809 individuals with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation. Our aim was to characterize the proteomic architecture of frailty in a highly susceptible population and study its relation to clinical outcome and systems-wide phenotypes to define potential novel, clinically relevant frailty biology. Proteomic signatures (specifically of physical function) were related to post-intervention outcome in AS, specifying pathways of innate immunity, cell growth/senescence, fibrosis/metabolism, and a host of proteins not widely described in human aging. In published cohorts, the "frailty proteome" displayed heterogeneous trajectories across age (20-100 years, age only explaining a small fraction of variance) and were associated with cardiac and non-cardiac phenotypes and outcomes across two broad validation cohorts (N > 35,000) over ≈2-3 decades. These findings suggest the importance of precision biomarkers of underlying multi-organ health status in age-related morbidity and frailty.
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Affiliation(s)
- Andrew S. Perry
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Shilin Zhao
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Priya Gajjar
- Cardiovascular Medicine Section, Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | | | | | - Patricia Miller
- Department of Medicine, and Department of BiostatisticsBoston University School of MedicineBostonMassachusettsUSA
| | - Sangeeta Nair
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Colin Neill
- Department of Medicine, Division of Cardiovascular MedicineUniversity of Wisconsin Hospital and ClinicsMadisonWisconsinUSA
| | - J. Jeffrey Carr
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - William Fearon
- Department of Medicine, Division of CardiologyStanford Medical CenterPalo AltoCaliforniaUSA
| | - Samir Kapadia
- Department of Medicine, Division of CardiologyCleveland Clinic FoundationClevelandOhioUSA
| | - Dharam Kumbhani
- Department of Medicine, Division of CardiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Linda Gillam
- Department of Cardiovascular MedicineMorristown Medical CenterMorristownNew JerseyUSA
| | - JoAnn Lindenfeld
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Laurie Farrell
- Broad Institute of Harvard and MITCambridgeMassachusettsUSA
| | - Megan M. Marron
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Qu Tian
- National Institute on Aging, National Institutes of HealthBaltimoreMarylandUSA
| | - Anne B. Newman
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
- Departments of Medicine and Clinical and Translational ScienceUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Joanne Murabito
- Sections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | - Robert E. Gerszten
- Broad Institute of Harvard and MITCambridgeMassachusettsUSA
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical SchoolBostonMassachusettsUSA
| | - Matthew Nayor
- Sections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | - Sammy Elmariah
- Department of Medicine, Division of CardiologyThe University of CaliforniaSan FranciscoCaliforniaUSA
| | - Brian R. Lindman
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Ravi Shah
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
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16
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Wang F, Tessier AJ, Liang L, Wittenbecher C, Haslam DE, Fernández-Duval G, Heather Eliassen A, Rexrode KM, Tobias DK, Li J, Zeleznik O, Grodstein F, Martínez-González MA, Salas-Salvadó J, Clish C, Lee KH, Sun Q, Stampfer MJ, Hu FB, Guasch-Ferré M. Plasma metabolomic profiles associated with mortality and longevity in a prospective analysis of 13,512 individuals. Nat Commun 2023; 14:5744. [PMID: 37717037 PMCID: PMC10505179 DOI: 10.1038/s41467-023-41515-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 09/01/2023] [Indexed: 09/18/2023] Open
Abstract
Experimental studies reported biochemical actions underpinning aging processes and mortality, but the relevant metabolic alterations in humans are not well understood. Here we examine the associations of 243 plasma metabolites with mortality and longevity (attaining age 85 years) in 11,634 US (median follow-up of 22.6 years, with 4288 deaths) and 1878 Spanish participants (median follow-up of 14.5 years, with 525 deaths). We find that, higher levels of N2,N2-dimethylguanosine, pseudouridine, N4-acetylcytidine, 4-acetamidobutanoic acid, N1-acetylspermidine, and lipids with fewer double bonds are associated with increased risk of all-cause mortality and reduced odds of longevity; whereas L-serine and lipids with more double bonds are associated with lower mortality risk and a higher likelihood of longevity. We further develop a multi-metabolite profile score that is associated with higher mortality risk. Our findings suggest that differences in levels of nucleosides, amino acids, and several lipid subclasses can predict mortality. The underlying mechanisms remain to be determined.
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Affiliation(s)
- Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne-Julie Tessier
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Clemens Wittenbecher
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- SciLifeLab, Division of Food Science and Nutrition, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Danielle E Haslam
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gonzalo Fernández-Duval
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - A Heather Eliassen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kathryn M Rexrode
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Oana Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Francine Grodstein
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Miguel A Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Clary Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kyu Ha Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Meir J Stampfer
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark.
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
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Dessì A, Bosco A, Cesare Marincola F, Pintus R, Paci G, Atzori L, Fanos V, Piras C. Sardinian Infants of Diabetic Mothers: A Metabolomics Observational Study. Int J Mol Sci 2023; 24:13724. [PMID: 37762025 PMCID: PMC10530546 DOI: 10.3390/ijms241813724] [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: 07/29/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is a condition characterized by glucose intolerance, with hyperglycemia of varying severity with onset during pregnancy. An uncontrolled GDM can lead to an increased risk of morbidity in the fetus and newborn, and an increased risk of obesity or developing type 2 diabetes, hypertension or neurocognitive developmental impairment in adulthood. In this study, we used nuclear magnetic resonance (NMR) spectroscopy and gas chromatography-mass spectrometry (GS-MS) to analyze the urinary metabolomic profile of newborns of diabetic mothers (NDMs) with the aim of identifying biomarkers useful for the monitoring of NDMs and for early diagnosis of predisposition to develop related chronic diseases. A total of 26 newborns were recruited: 21 children of diabetic mothers, comprising 13 in diet therapy (NDM-diet) and 8 in insulin therapy (NDM-insulin), and 5 control children of non-diabetic mothers (CTR). Urine samples were collected at five time points: at birth (T1), on the third day of life (T2), one week (T3), one month (T4) and six months postpartum (T5). At T1, variations were observed in the levels of seven potential biomarkers (acetate, lactate, glycylproline/proline, isocitrate, N,N-dimethylglycine, N-acetylglucosamine and N-carbamoyl-aspartate) in NMD-insulin infants compared to NDM-diet and CTR infants. In particular, the altered metabolites were found to be involved in several metabolic pathways such as citrate metabolism, glycine, serine and threonine metabolism, arginine and proline metabolism, amino sugar and nucleotide sugar metabolism, and pyruvate metabolism. In contrast, these changes were not visible at subsequent sampling times. The impact of early nutrition (maternal and formula milk) on the metabolomic profile was considered as a potential contributing factor to this finding.
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Affiliation(s)
- Angelica Dessì
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Alice Bosco
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Flaminia Cesare Marincola
- Department of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy;
| | - Roberta Pintus
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Giulia Paci
- Department of Biomedical Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy; (G.P.); (L.A.); (C.P.)
| | - Luigi Atzori
- Department of Biomedical Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy; (G.P.); (L.A.); (C.P.)
| | - Vassilios Fanos
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Cristina Piras
- Department of Biomedical Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy; (G.P.); (L.A.); (C.P.)
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18
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Chen C, Wang J, Pan D, Wang X, Xu Y, Yan J, Wang L, Yang X, Yang M, Liu G. Applications of multi-omics analysis in human diseases. MedComm (Beijing) 2023; 4:e315. [PMID: 37533767 PMCID: PMC10390758 DOI: 10.1002/mco2.315] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/25/2023] [Accepted: 05/31/2023] [Indexed: 08/04/2023] Open
Abstract
Multi-omics usually refers to the crossover application of multiple high-throughput screening technologies represented by genomics, transcriptomics, single-cell transcriptomics, proteomics and metabolomics, spatial transcriptomics, and so on, which play a great role in promoting the study of human diseases. Most of the current reviews focus on describing the development of multi-omics technologies, data integration, and application to a particular disease; however, few of them provide a comprehensive and systematic introduction of multi-omics. This review outlines the existing technical categories of multi-omics, cautions for experimental design, focuses on the integrated analysis methods of multi-omics, especially the approach of machine learning and deep learning in multi-omics data integration and the corresponding tools, and the application of multi-omics in medical researches (e.g., cancer, neurodegenerative diseases, aging, and drug target discovery) as well as the corresponding open-source analysis tools and databases, and finally, discusses the challenges and future directions of multi-omics integration and application in precision medicine. With the development of high-throughput technologies and data integration algorithms, as important directions of multi-omics for future disease research, single-cell multi-omics and spatial multi-omics also provided a detailed introduction. This review will provide important guidance for researchers, especially who are just entering into multi-omics medical research.
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Affiliation(s)
- Chongyang Chen
- Key Laboratory of Nuclear MedicineMinistry of HealthJiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
- Co‐innovation Center of NeurodegenerationNantong UniversityNantongChina
| | - Jing Wang
- Shenzhen Key Laboratory of Modern ToxicologyShenzhen Medical Key Discipline of Health Toxicology (2020–2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
| | - Donghui Pan
- Key Laboratory of Nuclear MedicineMinistry of HealthJiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
| | - Xinyu Wang
- Key Laboratory of Nuclear MedicineMinistry of HealthJiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
| | - Yuping Xu
- Key Laboratory of Nuclear MedicineMinistry of HealthJiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
| | - Junjie Yan
- Key Laboratory of Nuclear MedicineMinistry of HealthJiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
| | - Lizhen Wang
- Key Laboratory of Nuclear MedicineMinistry of HealthJiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
| | - Xifei Yang
- Shenzhen Key Laboratory of Modern ToxicologyShenzhen Medical Key Discipline of Health Toxicology (2020–2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
| | - Min Yang
- Key Laboratory of Nuclear MedicineMinistry of HealthJiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
| | - Gong‐Ping Liu
- Co‐innovation Center of NeurodegenerationNantong UniversityNantongChina
- Department of PathophysiologySchool of Basic MedicineKey Laboratory of Ministry of Education of China and Hubei Province for Neurological DisordersTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
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19
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Liu S, Chen Y, Wang X, Wang S, Bai L, Cheng X, Wan J, Hu Y, Ding Y, Zhang X, Ding M, Li H, Hu M. Plasma metabolomics identifies metabolic alterations associated with the growth and development of cat. Animal Model Exp Med 2023; 6:306-316. [PMID: 37271879 PMCID: PMC10486329 DOI: 10.1002/ame2.12328] [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: 01/18/2023] [Accepted: 04/09/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND The purpose of our study was to study the composition and content of the feline plasma metabolome revealing the critical metabolites and metabolic pathways associated with age during growth and development. METHODS Blood samples were collected from juvenile and adult groups for blood routine tests and serum biochemistry tests. Non-targeted metabolomics analyses of plasma were also performed to investigate changes in metabolites and metabolic pathways. RESULTS In this study, we found that the red blood cell counts, liver function indexes (albumin and gamma-glutamyl transpeptidase), and the concentration of triglyceride and glucose changed significant with growth and development. The metabolomics results revealed that 1427 metabolites were identified in the plasma of young and adult cats. Most of these metabolites belong to major classes of lipids and lipid-like molecules. The most obvious age-related metabolites include reduced levels of chenodeoxycholate, taurocholate, cholate, and taurochenodeoxycholate but increased levels of L-cysteine and taurocyamine in the adult cat's serum. These metabolites are mainly involved in the primary bile acid biosynthesis pathway, the bile secretion pathway, and the taurine and hypotaurine metabolism pathway. CONCLUSION This study revealed many age-related metabolite alterations in the feline plasma. These age-varying metabolites, especially in the bile acid biosynthesis and secretion metabolism pathways, indicate that the regulation of these pathways is involved in the growth and development of cats. This study promotes our understanding of the mechanism of feline growth and provides new insights into nutrition and medicine for cats of different ages.
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Affiliation(s)
- Shuaiyang Liu
- School of Basic Medical Science, Wuhan UniversityWuhanChina
- Institute of Model Animal, Wuhan UniversityWuhanChina
| | - Yun Chen
- Institute of Model Animal, Wuhan UniversityWuhanChina
- Clinical Trial CentersHuanggang Central HospitalHuanggangChina
| | - Xiaoming Wang
- School of Basic Medical Science, Wuhan UniversityWuhanChina
- Institute of Model Animal, Wuhan UniversityWuhanChina
| | - Shuang Wang
- College of Veterinary Medicine, Huazhong Agricultural UniversityWuhanChina
| | - Lan Bai
- Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of EducationSchool of Basic Medical Science, Gannan Medical UniversityGanzhouChina
- Gannan Innovation and Translational Medicine Research Institute, Gannan Medical UniversityGanzhouChina
| | - Xu Cheng
- Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of EducationSchool of Basic Medical Science, Gannan Medical UniversityGanzhouChina
- Gannan Innovation and Translational Medicine Research Institute, Gannan Medical UniversityGanzhouChina
| | - Juan Wan
- Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of EducationSchool of Basic Medical Science, Gannan Medical UniversityGanzhouChina
- Gannan Innovation and Translational Medicine Research Institute, Gannan Medical UniversityGanzhouChina
| | - Yufeng Hu
- Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of EducationSchool of Basic Medical Science, Gannan Medical UniversityGanzhouChina
- Gannan Innovation and Translational Medicine Research Institute, Gannan Medical UniversityGanzhouChina
| | - Yi Ding
- College of Veterinary Medicine, Huazhong Agricultural UniversityWuhanChina
| | - Xin Zhang
- Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of EducationSchool of Basic Medical Science, Gannan Medical UniversityGanzhouChina
- Gannan Innovation and Translational Medicine Research Institute, Gannan Medical UniversityGanzhouChina
| | - Mingxing Ding
- College of Veterinary Medicine, Huazhong Agricultural UniversityWuhanChina
| | - Hongliang Li
- School of Basic Medical Science, Wuhan UniversityWuhanChina
- Institute of Model Animal, Wuhan UniversityWuhanChina
- Gannan Innovation and Translational Medicine Research Institute, Gannan Medical UniversityGanzhouChina
| | - Manli Hu
- Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of EducationSchool of Basic Medical Science, Gannan Medical UniversityGanzhouChina
- Gannan Innovation and Translational Medicine Research Institute, Gannan Medical UniversityGanzhouChina
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20
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Osawa Y, Candia J, Abe Y, Tajima T, Oguma Y, Arai Y. Plasma amino acid signature for sarcopenic phenotypes in community-dwelling octogenarians: Results from the Kawasaki Aging Wellbeing Project. Exp Gerontol 2023; 178:112230. [PMID: 37286061 DOI: 10.1016/j.exger.2023.112230] [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: 02/15/2023] [Revised: 04/29/2023] [Accepted: 06/01/2023] [Indexed: 06/09/2023]
Abstract
Sarcopenia is one of the primary risk factors for various adverse health events in later life. However, its pathophysiology in the very old population remains unclear. Hence, this study aimed to examine whether plasma free amino acids (PFAAs) correlate with major sarcopenic phenotypes (i.e., muscle mass, muscle strength, and physical performance) in community-dwelling adults aged 85-89 years living in Japan. Cross-sectional data from the Kawasaki Aging Well-being Project were used. We included 133 adults aged 85-89 years. In this study, fasting blood was collected to measure 20 plasma PFAAs. Measures for the three major sarcopenic phenotypes included appendicular lean mass assessed by multifrequency bioimpedance, isometric handgrip strength, and gait speed from a 5 m walk at a usual pace. Furthermore, we used phenotype-specific elastic net regression models adjusted for age centered at 85 years, sex, body mass index, education level, smoking status, and drinking habit to identify significant PFAAs for each sarcopenic phenotype. Higher histidine and lower alanine levels were associated with poor gait speed, but no PFAAs correlated with muscle strength or mass. In conclusion, PFAAs such as plasma histidine and alanine are novel blood biomarkers associated with physical performance in community-dwelling adults aged 85 years or older.
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Affiliation(s)
- Yusuke Osawa
- Graduate School of Health Management, Keio University, Kanagawa, Japan; Sports Medicine Research Center, Keio University, Kanagawa, Japan; Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States.
| | - Julián Candia
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States
| | - Yukiko Abe
- Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Takayuki Tajima
- Sports Medicine Research Center, Keio University, Kanagawa, Japan; Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Yuko Oguma
- Graduate School of Health Management, Keio University, Kanagawa, Japan; Sports Medicine Research Center, Keio University, Kanagawa, Japan
| | - Yasumichi Arai
- Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan; Faculty of Nursing and Medical Care, Keio University School of Medicine, Kanagawa, Japan.
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21
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Li Y, Gray A, Xue L, Farb MG, Ayalon N, Andersson C, Ko D, Benjamin EJ, Levy D, Vasan RS, Larson MG, Rong J, Xanthakis V, Liu C, Fetterman JL, Gopal DM. Metabolomic Profiles, Ideal Cardiovascular Health, and Risk of Heart Failure and Atrial Fibrillation: Insights From the Framingham Heart Study. J Am Heart Assoc 2023; 12:e028022. [PMID: 37301766 PMCID: PMC10356055 DOI: 10.1161/jaha.122.028022] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 04/13/2023] [Indexed: 06/12/2023]
Abstract
Background The American Heart Association's framework "ideal cardiovascular health" (CVH) focuses on modifiable risk factors to reduce cardiovascular disease (CVD). Metabolomics provides important pathobiological insights into risk factors and CVD development. We hypothesized that metabolomic signatures associate with CVH status, and that metabolites, at least partially, mediate the association of CVH score with atrial fibrillation (AF) and heart failure (HF). Methods and Results We studied 3056 adults in the FHS (Framingham Heart Study) cohort to evaluate CVH score and incident outcomes of AF and HF. Metabolomics data were available in 2059 participants; mediation analysis was performed to evaluate the mediation of metabolites in the association of CVH score and incident AF and HF. In the smaller cohort (mean age, 54 years; 53% women), CVH score was associated with 144 metabolites, with 64 metabolites shared across key cardiometabolic components (body mass index, blood pressure, and fasting blood glucose) of the CVH score. In mediation analyses, 3 metabolites (glycerol, cholesterol ester 16:1, and phosphatidylcholine 32:1) mediated the association of CVH score with incident AF. Seven metabolites (glycerol, isocitrate, asparagine, glutamine, indole-3-proprionate, phosphatidylcholine C36:4, and lysophosphatidylcholine 18:2), partly mediated the association between CVH score and incident HF in multivariable-adjusted models. Conclusions Most metabolites that associated with CVH score were shared the most among 3 cardiometabolic components. Three main pathways: (1) alanine, glutamine, and glutamate metabolism; (2) citric acid cycle metabolism; and (3) glycerolipid metabolism mediated CVH score with HF. Metabolomics provides insights into how ideal CVH status contributes to the development of AF and HF.
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Affiliation(s)
- Yi Li
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | | | - Liying Xue
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Melissa G. Farb
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Nir Ayalon
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
| | - Charlotte Andersson
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
| | - Darae Ko
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
| | - Emelia J. Benjamin
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
- Evans Department of Medicine, Section of Cardiovascular Medicine and Department of EpidemiologyBoston UniversityBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Ramachandran S. Vasan
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
- Evans Department of Medicine, Section of Cardiovascular Medicine and Department of EpidemiologyBoston UniversityBostonMAUSA
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Martin G. Larson
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Jian Rong
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Chunyu Liu
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Jessica L. Fetterman
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Deepa M. Gopal
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
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22
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Lee DH, Jin Q, Shi N, Wang F, Bever AM, Li J, Liang L, Hu FB, Song M, Zeleznik OA, Zhang X, Joshi A, Wu K, Jeon JY, Meyerhardt JA, Chan AT, Eliassen AH, Clish CB, Clinton SK, Giovannucci EL, Tabung FK. Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer. Metabolites 2023; 13:744. [PMID: 37367904 PMCID: PMC10304271 DOI: 10.3390/metabo13060744] [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: 04/27/2023] [Revised: 06/02/2023] [Accepted: 06/05/2023] [Indexed: 06/28/2023] Open
Abstract
The inflammatory and insulinemic potentials of diets have been associated with colorectal cancer risk. However, it is unknown whether the plasma metabolite profiles related to inflammatory diets, or to insulinemic diets, underlie this association. The aim of this study was to evaluate the association between metabolomic profile scores related to the food-based empirical dietary inflammatory patterns (EDIP), the empirical dietary index for hyperinsulinemia (EDIH), and plasma inflammation (CRP, IL-6, TNFα-R2, adiponectin) and insulin (C-peptide) biomarkers, and colorectal cancer risk. Elastic net regression was used to derive three metabolomic profile scores for each dietary pattern among 6840 participants from the Nurses' Health Study and Health Professionals Follow-up Study, and associations with CRC risk were examined using multivariable-adjusted logistic regression, in a case-control study of 524 matched pairs nested in both cohorts. Among 186 known metabolites, 27 were significantly associated with both the EDIP and inflammatory biomarkers, and 21 were significantly associated with both the EDIH and C-peptide. In men, odds ratios (ORs) of colorectal cancer, per 1 standard deviation (SD) increment in metabolomic score, were 1.91 (1.31-2.78) for the common EDIP and inflammatory-biomarker metabolome, 1.12 (0.78-1.60) for EDIP-only metabolome, and 1.65 (1.16-2.36) for the inflammatory-biomarkers-only metabolome. However, no association was found for EDIH-only, C-peptide-only, and the common metabolomic signatures in men. Moreover, the metabolomic signatures were not associated with colorectal cancer risk among women. Metabolomic profiles reflecting pro-inflammatory diets and inflammation biomarkers were associated with colorectal cancer risk in men, while no association was found in women. Larger studies are needed to confirm our findings.
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Affiliation(s)
- Dong Hoon Lee
- Department of Sport Industry Studies, Yonsei University, Seoul 03722, Republic of Korea; (D.H.L.)
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Qi Jin
- Department of Exercise and Nutrition Sciences, Moyes College of Education, Weber State University, Ogden, UT 84408, USA
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH 43210, USA
| | - Ni Shi
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Alaina M. Bever
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Oana A. Zeleznik
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Amit Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Justin Y. Jeon
- Department of Sport Industry Studies, Yonsei University, Seoul 03722, Republic of Korea; (D.H.L.)
- Cancer Prevention Center, Yonsei Cancer Center, Seoul 03722, Republic of Korea
| | - Jeffrey A. Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Andrew T. Chan
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - A. Heather Eliassen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Clary B. Clish
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Steven K. Clinton
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH 43210, USA
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Edward L. Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Fred K. Tabung
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH 43210, USA
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH 43220, USA
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23
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Fogelson KA, Dorrestein PC, Zarrinpar A, Knight R. The Gut Microbial Bile Acid Modulation and Its Relevance to Digestive Health and Diseases. Gastroenterology 2023; 164:1069-1085. [PMID: 36841488 PMCID: PMC10205675 DOI: 10.1053/j.gastro.2023.02.022] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/31/2023] [Accepted: 02/09/2023] [Indexed: 02/27/2023]
Abstract
The human gut microbiome has been linked to numerous digestive disorders, but its metabolic products have been much less well characterized, in part due to the expense of untargeted metabolomics and lack of ability to process the data. In this review, we focused on the rapidly expanding information about the bile acid repertoire produced by the gut microbiome, including the impacts of bile acids on a wide range of host physiological processes and diseases, and discussed the role of short-chain fatty acids and other important gut microbiome-derived metabolites. Of particular note is the action of gut microbiome-derived metabolites throughout the body, which impact processes ranging from obesity to aging to disorders traditionally thought of as diseases of the nervous system, but that are now recognized as being strongly influenced by the gut microbiome and the metabolites it produces. We also highlighted the emerging role for modifying the gut microbiome to improve health or to treat disease, including the "engineered native bacteria'' approach that takes bacterial strains from a patient, modifies them to alter metabolism, and reintroduces them. Taken together, study of the metabolites derived from the gut microbiome provided insights into a wide range of physiological and pathophysiological processes, and has substantial potential for new approaches to diagnostics and therapeutics of disease of, or involving, the gastrointestinal tract.
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Affiliation(s)
- Kelly A Fogelson
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California; Department of Pediatrics, University of California San Diego, San Diego, California; Center for Microbiome Innovation, University of California San Diego, San Diego, California.
| | - Amir Zarrinpar
- Center for Microbiome Innovation, University of California San Diego, San Diego, California; Division of Gastroenterology, Jennifer Moreno Department of Veterans Affairs Medical Center, San Diego, California; Division of Gastroenterology, University of California San Diego, San Diego, California; Institute of Diabetes and Metabolic Health, University of California San Diego, San Diego, California.
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, San Diego, California; Center for Microbiome Innovation, University of California San Diego, San Diego, California; Department of Bioengineering, University of California San Diego, San Diego, California; Department of Computer Science and Engineering, University of California San Diego, San Diego, California.
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24
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Jaramillo-Jimenez A, Giil LM, Germán Borda M, Tovar-Rios DA, Andre Kristiansen K, Bruheim P, Aarsland D, Barreto GE, Kristian Berge R. Serum TCA cycle metabolites in Lewy Bodies Dementia and Alzheimer's Disease: Network analysis and cognitive prognosis. Mitochondrion 2023; 71:17-25. [PMID: 37172667 DOI: 10.1016/j.mito.2023.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 03/27/2023] [Accepted: 05/07/2023] [Indexed: 05/15/2023]
Abstract
Abnormalities in the Tri-Carboxylic-Acid (TCA) cycle have been documented in dementia. Through network analysis, TCA cycle metabolites could indirectly reflect known dementia-related abnormalities in biochemical pathways, and key metabolites might be associated with prognosis. This study analyzed TCA cycle metabolites as predictors of cognitive decline in a mild dementia cohort and explored potential interactions with the diagnosis of Lewy Body Dementia (LBD) or Alzheimer's Disease (AD) and APOE-ε4 genotype. We included 145 mild dementia patients (LBD = 59; AD = 86). Serum TCA cycle metabolites were analyzed at baseline, and partial correlation networks were conducted. Cognitive performance was measured annually over 5-years with the Mini-mental State Examination. Longitudinal mixed-effects Tobit models evaluated each baseline metabolite as a predictor of 5-years cognitive decline. APOE-ε4 and diagnosis interactions were explored. Results showed comparable metabolite concentrations in LBD and AD. Multiple testing corrected networks showed larger coefficients for a negative correlation between pyruvate - succinate and positive correlations between fumarate - malate and citrate - Isocitrate in both LBD and AD. In the total sample, adjusted mixed models showed significant associations between baseline citrate concentration and longitudinal MMSE scores. In APOE-ε4 carriers, baseline isocitrate predicted MMSE scores. We conclude that, in mild dementia, serum citrate concentrations could be associated with subsequent cognitive decline, as well as isocitrate concentrations in APOE-ε4 carriers. Downregulation of enzymatic activity in the first half of the TCA cycle (decarboxylating dehydrogenases), with upregulation in the latter half (dehydrogenases only), might be indirectly reflected in serum TCA cycle metabolites' networks.
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Affiliation(s)
- Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Faculty of Health Sciences, University of Stavanger. Stavanger, Norway; Grupo de Neurociencias de Antioquia, Universidad de Antioquia, School of Medicine. Medellín, Colombia; Semillero de Investigación SINAPSIS, Universidad de Antioquia, School of Medicine. Medellín, Colombia; Semillero de Investigación NeuroCo, Universidad de Antioquia, School of Medicine & School of Engenieering. Medellín, Colombia.
| | - Lasse M Giil
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway
| | - Miguel Germán Borda
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Faculty of Health Sciences, University of Stavanger. Stavanger, Norway; Semillero de Neurociencias y Envejecimiento, Ageing Institute, Medical School, Pontificia Universidad Javeriana. Bogotá, Colombia
| | - Diego A Tovar-Rios
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Faculty of Health Sciences, University of Stavanger. Stavanger, Norway; Universidad Del Valle, Grupo de Investigación en Estadística Aplicada - INFERIR, Faculty of Engineering, Santiago De Cali, Colombia; Universidad Del Valle, Prevención y Control de la Enfermedad Crónica - PRECEC, Faculty of Health, Santiago De Cali, Colombia
| | - Kåre Andre Kristiansen
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Per Bruheim
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Dag Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - George E Barreto
- Department of Biological Sciences, University of Limerick, Ireland
| | - Rolf Kristian Berge
- The Lipid Research Group, Department of Clinical Science, University of Bergen, Bergen, Norway
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25
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Xiong X, Xu J, Yan X, Wu S, Ma J, Wang Z, He Q, Gong J, Rao Y. Gut microbiome and serum metabolome analyses identify biomarkers associated with sexual maturity in quails. Poult Sci 2023; 102:102762. [PMID: 37209654 DOI: 10.1016/j.psj.2023.102762] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/19/2023] [Accepted: 04/25/2023] [Indexed: 05/22/2023] Open
Abstract
Increasing evidence indicates that the gut microbiome plays an important role in host aging and sexual maturity. However, the gut microbial taxa associated with sexual maturity in quails are unknown. This study used shotgun metagenomic sequencing to identify bacterial taxa associated with sexual maturity in d 20 and d 70 quails. We found that 17 bacterial species and 67 metagenome-assembled genomes (e.g., Bacteroides spp. and Enterococcus spp.) significantly differed between the d 20 and d 70 groups, including 5 bacterial species (e.g., Enterococcus faecalis) enriched in the d 20 group and 12 bacterial species (e.g., Christensenella massiliensis, Clostridium sp. CAG:217, and Bacteroides neonati) which had high abundances in the d 70 group. The bacterial species enriched in d 20 or d 70 were key biomarkers distinguishing sexual maturity and significantly correlated with the shifts in the functional capacities of the gut microbiome. Untargeted serum metabolome analysis revealed that 5 metabolites (e.g., nicotinamide riboside) were enriched in the d 20 group, and 6 metabolites (e.g., D-ribose, stevioside, and barbituric acid) were enriched in the d 70 group. Furthermore, metabolites with high abundances in the d 20 group were significantly enriched for the KEGG pathways of arginine biosynthesis, nicotinate and nicotinamide metabolism, and lysine degradation. However, glutathione metabolism and valine, leucine and isoleucine biosynthesis were enriched in high-abundance metabolites from the d 70 group. These results provide important insights into the effects of gut microbiome and host metabolism on quail sexual maturity.
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Affiliation(s)
- Xinwei Xiong
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China.
| | - Jiguo Xu
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
| | - Xiao Yan
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
| | - Shuoshuo Wu
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
| | - Jinge Ma
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
| | - Zhangfeng Wang
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
| | - Qin He
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
| | - Jishang Gong
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
| | - Yousheng Rao
- Institute of Biological Technology, Nanchang Normal University, Nanchang, 330032, China; Key Laboratory for Genetic Improvement of Indigenous Chicken Breeds of Jiangxi Province, Nanchang, 330032, China
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26
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Mi MY, Whitlock M, Shi X, Farrell LA, Bhambhani VM, Quadir J, Blatnik M, Wald KP, Tierney B, Kim A, Loudon P, Chen ZZ, Correa A, Gao Y, Carson AP, Bertoni AG, Roth Flach RJ, Gerszten RE. Mixed meal tolerance testing highlights in diabetes altered branched-chain ketoacid metabolism and pathways associated with all-cause mortality. Am J Clin Nutr 2023; 117:529-539. [PMID: 36811472 PMCID: PMC10356557 DOI: 10.1016/j.ajcnut.2023.01.001] [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: 07/06/2022] [Revised: 12/22/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Elevated BCAA levels are strongly associated with diabetes, but how diabetes affects BCAA, branched-chain ketoacids (BCKAs), and the broader metabolome after a meal is not well known. OBJECTIVE To compare quantitative BCAA and BCKA levels in a multiracial cohort with and without diabetes after a mixed meal tolerance test (MMTT) as well as to explore the kinetics of additional metabolites and their associations with mortality in self-identified African Americans. METHODS We administered an MMTT to 11 participants without obesity or diabetes and 13 participants with diabetes (treated with metformin only) and measured the levels of BCKAs, BCAAs, and 194 other metabolites at 8 time points across 5 h. We used mixed models for repeated measurements to compare between group metabolite differences at each timepoint with adjustment for baseline. We then evaluated the association of top metabolites with different kinetics with all-cause mortality in the Jackson Heart Study (JHS) (N = 2441). RESULTS BCAA levels, after adjustment for baseline, were similar at all timepoints between groups, but adjusted BCKA kinetics were different between groups for α-ketoisocaproate (P = 0.022) and α-ketoisovalerate (P = 0.021), most notably diverging at 120 min post-MMTT. An additional 20 metabolites had significantly different kinetics across timepoints between groups, and 9 of these metabolites-including several acylcarnitines-were significantly associated with mortality in JHS, irrespective of diabetes status. The highest quartile of a composite metabolite risk score was associated with higher mortality (HR:1.57; 1.20, 2.05, P = 0.00094) than the lowest quartile. CONCLUSIONS BCKA levels remained elevated after an MMTT among participants with diabetes, suggesting that BCKA catabolism may be a key dysregulated process in the interaction of BCAA and diabetes. Metabolites with different kinetics after an MMTT may be markers of dysmetabolism and associated with increased mortality in self-identified African Americans.
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Affiliation(s)
- Michael Y Mi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | | | - Xu Shi
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Laurie A Farrell
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Juweria Quadir
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Kyle P Wald
- Early Clinical Development, Pfizer, Groton, CT, USA
| | | | - Albert Kim
- Internal Medicine Research Unit, Pfizer, Cambridge, MA, USA; Cytel, Cambridge, MA, USA
| | - Peter Loudon
- Early Clinical Development, Pfizer, Cambridge, UK; Tenpoint Therapeutics, Cambridge, UK
| | - Zsu-Zsu Chen
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Adolfo Correa
- Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Yan Gao
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Alain G Bertoni
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston Salem, NC, USA
| | | | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
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27
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Westbrook R, Zhang C, Yang H, Tian J, Guo S, Xue QL, Walston J, Le A, Abadir PM. Metabolomics-Based Identification of Metabolic Dysfunction in Frailty. J Gerontol A Biol Sci Med Sci 2022; 77:2367-2372. [PMID: 36580380 PMCID: PMC9799179 DOI: 10.1093/gerona/glab315] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Indexed: 12/30/2022] Open
Abstract
Dysregulation of energy producing metabolic pathways has been observed in older adults with frailty. In this study, we used liquid chromatography-mass spectrometry technology to identify aging- and frailty-related differences in metabolites involved in glycolysis, the tricarboxylic (TCA) cycle, and other energy metabolism-related pathways in the serum of a cohort of community-dwelling adults aged 20-97 (n = 146). We also examined the relationship between serum levels of metabolites and functional measures, physical frailty, and risk status for adverse health outcomes. We observed elevated levels of TCA cycle and glycolytic intermediates in frail subjects; however, the differences in the levels of ATP and other energy metabolites between young, nonfrail, and frail adults were not significant. Instead, we found that serum levels of neurotransmitters N-acetyl-aspartyl-glutamate, glutamate, and γ-aminobutyric acid were significantly elevated in older adults with frailty. These elevations of glycolytic and TCA cycle intermediates, and neurotransmitters may be part of the biological signature of frailty.
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Affiliation(s)
- Reyhan Westbrook
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Cissy Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Huanle Yang
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jing Tian
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shenghao Guo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Qian-Li Xue
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jeremy Walston
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Family Medicine, Kyung Hee University, Seoul, South Korea
| | - 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 Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Peter M Abadir
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Castro A, Signini ÉF, De Oliveira JM, Di Medeiros Leal MCB, Rehder-Santos P, Millan-Mattos JC, Minatel V, Pantoni CBF, Oliveira RV, Catai AM, Ferreira AG. The Aging Process: A Metabolomics Perspective. Molecules 2022; 27:molecules27248656. [PMID: 36557788 PMCID: PMC9785117 DOI: 10.3390/molecules27248656] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/29/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Aging process is characterized by a progressive decline of several organic, physiological, and metabolic functions whose precise mechanism remains unclear. Metabolomics allows the identification of several metabolites and may contribute to clarifying the aging-regulated metabolic pathways. We aimed to investigate aging-related serum metabolic changes using a metabolomics approach. Fasting blood serum samples from 138 apparently healthy individuals (20−70 years old, 56% men) were analyzed by Proton Nuclear Magnetic Resonance spectroscopy (1H NMR) and Liquid Chromatography-High-Resolution Mass Spectrometry (LC-HRMS), and for clinical markers. Associations of the metabolic profile with age were explored via Correlations (r); Metabolite Set Enrichment Analysis; Multiple Linear Regression; and Aging Metabolism Breakpoint. The age increase was positively correlated (0.212 ≤ r ≤ 0.370, p < 0.05) with the clinical markers (total cholesterol, HDL, LDL, VLDL, triacylglyceride, and glucose levels); negatively correlated (−0.285 ≤ r ≤ −0.214, p < 0.05) with tryptophan, 3-hydroxyisobutyrate, asparagine, isoleucine, leucine, and valine levels, but positively (0.237 ≤ r ≤ 0.269, p < 0.05) with aspartate and ornithine levels. These metabolites resulted in three enriched pathways: valine, leucine, and isoleucine degradation, urea cycle, and ammonia recycling. Additionally, serum metabolic levels of 3-hydroxyisobutyrate, isoleucine, aspartate, and ornithine explained 27.3% of the age variation, with the aging metabolism breakpoint occurring after the third decade of life. These results indicate that the aging process is potentially associated with reduced serum branched-chain amino acid levels (especially after the third decade of life) and progressively increased levels of serum metabolites indicative of the urea cycle.
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Affiliation(s)
- Alex Castro
- Department of Chemistry, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
- Correspondence: (A.C.); (A.G.F.)
| | - Étore F. Signini
- Department of Physiotherapy, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
| | | | | | - Patrícia Rehder-Santos
- Department of Physiotherapy, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
| | | | - Vinicius Minatel
- Department of Physiotherapy, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
| | - Camila B. F. Pantoni
- Department of Physiotherapy, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
| | - Regina V. Oliveira
- Department of Chemistry, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
| | - Aparecida M. Catai
- Department of Physiotherapy, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
| | - Antônio G. Ferreira
- Department of Chemistry, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
- Correspondence: (A.C.); (A.G.F.)
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29
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Heianza Y, Wang X, Rood J, Clish CB, Bray GA, Sacks FM, Qi L. Changes in circulating bile acid subtypes in response to weight-loss diets are associated with improvements in glycemic status and insulin resistance: The POUNDS Lost trial. Metabolism 2022; 136:155312. [PMID: 36122763 DOI: 10.1016/j.metabol.2022.155312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/10/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Various primary and secondary bile acids (BAs) may play pivotal roles in glucose/insulin metabolism. We investigated whether changes in specific BA subtypes were associated with long-term changes in glucose and insulin sensitivity. METHODS This study included 515 adults with overweight or obesity who participated in a 2-year intervention study of weight-loss diets with different macronutrient intakes. Circulating primary and secondary unconjugated BAs and their taurine-/glycine-conjugates were measured at baseline and 6 months after the interventions. We analyzed associations of changes in BA subtypes with two-year changes in fasting glucose, insulin, and insulin resistance (HOMA-IR). RESULTS Greater decreases in primary and secondary BA subtypes induced by the interventions were significantly associated with greater reductions of fasting insulin and HOMA-IR at 6 months, showing various effects across the BA subtypes. The reductions of specific BA subtypes (chenodeoxycholate [CDCA], taurocholate [TCA], taurochenodeoxycholate [TCDCA], and taurodeoxycholate [TDCA]) were significantly related to improved glucose levels at 6 months. The initial (6-month) decreases in primary and secondary BA subtypes (glycochenodeoxycholate [GCDCA], TCDCA, and glycoursodeoxycholate [GUDCA]) were also significantly associated with long-term improvements in glucose and insulin metabolism over 2 years. We found significant interactions between dietary fat intake and changes in the BA subtypes for changes in glucose metabolism (Pinteraction < 0.05). CONCLUSIONS Weight-loss diet-induced changes in distinct subtypes of circulating BAs were associated with improved glucose metabolism and insulin sensitivity in adults with overweight or obesity. Dietary fat intake may modify the associations of changes in BA metabolism with glucose metabolism.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America.
| | - Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America
| | - Jennifer Rood
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States of America
| | - Clary B Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States of America
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
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30
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Yue T, Tan H, Shi Y, Xu M, Luo S, Weng J, Xu S. Serum Metabolomic Profiling in Aging Mice Using Liquid Chromatography-Mass Spectrometry. Biomolecules 2022; 12:1594. [PMID: 36358944 PMCID: PMC9687663 DOI: 10.3390/biom12111594] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/20/2022] [Accepted: 10/27/2022] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND The process of aging and metabolism are intricately linked, thus rendering the identification of reliable biomarkers related to metabolism crucial for delaying the aging process. However, research of reliable markers that reflect aging profiles based on machine learning is scarce. METHODS Serum samples were obtained from aged mice (18-month-old) and young mice (3-month-old). LC-MS was used to perform a comprehensive analysis of the serum metabolome and machine learning was used to screen potential aging-related biomarkers. RESULTS In total, aging mice were characterized by 54 different metabolites when compared to control mice with criteria: VIP ≥ 1, q-value < 0.05, and Fold-Change ≥ 1.2 or ≤0.83. These metabolites were mostly involved in fatty acid biosynthesis, cysteine and methionine metabolism, D-glutamine and D-glutamate metabolism, and the citrate cycle (TCA cycle). We merged the comprehensive analysis and four algorithms (LR, GNB, SVM, and RF) to screen aging-related biomarkers, leading to the recognition of oleic acid. In addition, five metabolites were identified as novel aging-related indicators, including oleic acid, citric acid, D-glutamine, trypophol, and L-methionine. CONCLUSIONS Changes in the metabolism of fatty acids and conjugates, organic acids, and amino acids were identified as metabolic dysregulation related to aging. This study revealed the metabolic profile of aging and provided insights into novel potential therapeutic targets for delaying the effects of aging.
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Affiliation(s)
| | | | | | | | | | - Jianping Weng
- Correspondence: (J.W.); (S.X.); Tel.: +86-0551-63602683 (J.W.)
| | - Suowen Xu
- Correspondence: (J.W.); (S.X.); Tel.: +86-0551-63602683 (J.W.)
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Gonzalez Izundegui D, Miller PE, Shah RV, Clish CB, Walker ME, Mitchell GF, Gerszten RE, Larson MG, Vasan RS, Nayor M. Response of circulating metabolites to an oral glucose challenge and risk of cardiovascular disease and mortality in the community. Cardiovasc Diabetol 2022; 21:213. [PMID: 36243866 PMCID: PMC9568897 DOI: 10.1186/s12933-022-01647-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/29/2022] [Indexed: 11/17/2022] Open
Abstract
Background New biomarkers to identify cardiovascular disease (CVD) risk earlier in its course are needed to enable targeted approaches for primordial prevention. We evaluated whether intraindividual changes in blood metabolites in response to an oral glucose tolerance test (OGTT) may provide incremental information regarding the risk of future CVD and mortality in the community. Methods An OGTT (75 g glucose) was administered to a subsample of Framingham Heart Study participants free from diabetes (n = 361). Profiling of 211 plasma metabolites was performed from blood samples drawn before and 2 h after OGTT. The log2(post/pre) metabolite levels (Δmetabolites) were related to incident CVD and mortality in Cox regression models adjusted for age, sex, baseline metabolite level, systolic blood pressure, hypertension treatment, body mass index, smoking, and total/high-density lipoprotein cholesterol. Select metabolites were related to subclinical cardiometabolic phenotypes using Spearman correlations adjusted for age, sex, and fasting metabolite level. Results Our sample included 42% women, with a mean age of 56 ± 9 years and a body mass index of 30.2 ± 5.3 kg/m2. The pre- to post-OGTT changes (Δmetabolite) were non-zero for 168 metabolites (at FDR ≤ 5%). A total of 132 CVD events and 144 deaths occurred during median follow-up of 24.9 years. In Cox models adjusted for clinical risk factors, four Δmetabolites were associated with incident CVD (higher glutamate and deoxycholate, lower inosine and lysophosphatidylcholine 18:2) and six Δmetabolites (higher hydroxyphenylacetate, triacylglycerol 56:5, alpha-ketogluturate, and lower phosphatidylcholine 32:0, glucuronate, N-monomethyl-arginine) were associated with death (P < 0.05). Notably, baseline metabolite levels were not associated with either outcome in models excluding Δmetabolites. The Δmetabolites exhibited varying cross-sectional correlation with subclinical risk factors such as visceral adiposity, insulin resistance, and vascular stiffness, but overall relations were modest. Significant Δmetabolites included those with established roles in cardiometabolic disease (e.g., glutamate, alpha-ketoglutarate) and metabolites with less defined roles (e.g., glucuronate, lipid species). Conclusions Dynamic changes in metabolite levels with an OGTT are associated with incident CVD and mortality and have potential relevance for identifying CVD risk earlier in its development and for discovering new potential therapeutic targets. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01647-w.
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Affiliation(s)
| | - Patricia E Miller
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ravi V Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology Division, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maura E Walker
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Suite L-516, Boston, MA, 02118, USA.,Department of Health Sciences, Program in Nutrition, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, USA.,Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | | | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Suite L-516, Boston, MA, 02118, USA.,Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA.,Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Suite L-516, Boston, MA, 02118, USA.,Department of Epidemiology, Boston University Schools of Medicine and Public Health, Center for Computing and Data Sciences, Boston University, Boston, MA, USA
| | - Matthew Nayor
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Suite L-516, Boston, MA, 02118, USA. .,Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA. .,Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Suite L-516, Boston, MA, 02118, USA.
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Fiamoncini J, Rist MJ, Frommherz L, Giesbertz P, Pfrang B, Kremer W, Huber F, Kastenmüller G, Skurk T, Hauner H, Suhre K, Daniel H, Kulling SE. Dynamics and determinants of human plasma bile acid profiles during dietary challenges. Front Nutr 2022; 9:932937. [PMID: 35967802 PMCID: PMC9366195 DOI: 10.3389/fnut.2022.932937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/01/2022] [Indexed: 11/30/2022] Open
Abstract
In recent years, bile acids (BA) have received great interest due to their pleiotropic biological activity and the presence of plasma membrane-bound and nuclear receptors. Moreover, BA in blood have been identified by metabolite screening approaches as biomarkers that are associated with various diseases and even with a human longevity phenotype. With the growing interest in the microbiota contribution to the health-disease trajectory, BA that undergo deconjugation and other modifications by bacteria in the large intestine have become a prime target as a microbiome diversity modifier. We here profiled BA by a quantitative and a semiquantitative approach in 15 healthy and phenotypically very similar young individuals for over a 36-h fasting period, an oral glucose tolerance test (OGTT), and an oral lipid tolerance test (OLTT). We demonstrate a remarkable heterogeneity of the responses and describe the different dynamics of the plasma changes that likely originate from different routes by which BA enters the peripheral blood, and that may represent a direct secretion from the liver into the blood and a route that reaches the blood as a spill-over after passing from the gallbladder through the intestine and the portal system. We discuss the finding that an individual transport process involved in the passage of BA could be a critical determinant in the kinetics of plasma appearance and the overall phenotypic variability found.
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Affiliation(s)
- Jarlei Fiamoncini
- Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, Food Research Center - FoRC, University of São Paulo, São Paulo, Brazil
| | - Manuela J Rist
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Lara Frommherz
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Pieter Giesbertz
- Department of Nutritional Physiology, Technische Universität München, Freising-Weihenstephan, Germany
| | - Birgit Pfrang
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Werner Kremer
- Biophysics I, Regensburg Center for Biochemistry, Universität Regensburg, Regensburg, Germany
| | - Fritz Huber
- Department of Nutritional Physiology, Technische Universität München, Freising-Weihenstephan, Germany
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Skurk
- Chair of Nutritional Medicine, Else Kroener-Fresenius-Centre for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Hans Hauner
- Chair of Nutritional Medicine, Else Kroener-Fresenius-Centre for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Karsten Suhre
- Bioinformatics Core, Research Department, Weill Cornell Medicine in Qatar, Doha, Qatar
| | - Hannelore Daniel
- Department of Nutritional Physiology, Technische Universität München, Freising-Weihenstephan, Germany
| | - Sabine E Kulling
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
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Gut Microbiota-Derived Metabolites and Cardiovascular Disease Risk: A Systematic Review of Prospective Cohort Studies. Nutrients 2022; 14:nu14132654. [PMID: 35807835 PMCID: PMC9268449 DOI: 10.3390/nu14132654] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/17/2022] [Accepted: 06/23/2022] [Indexed: 12/12/2022] Open
Abstract
Gut microbiota-derived metabolites have recently attracted considerable attention due to their role in host-microbial crosstalk and their link with cardiovascular health. The MEDLINE-PubMed and Elsevier’s Scopus databases were searched up to June 2022 for studies evaluating the association of baseline circulating levels of trimethylamine N-oxide (TMAO), secondary bile acids, short-chain fatty acids (SCFAs), branched-chain amino acids (BCAAs), tryptophan and indole derivatives, with risk of cardiovascular disease (CVD). A total of twenty-one studies were included in the systematic review after evaluating 1210 non-duplicate records. There were nineteen of the twenty-one studies that were cohort studies and two studies had a nested case–control design. All of the included studies were of high quality according to the “Newcastle–Ottawa Scale”. TMAO was positively associated with adverse cardiovascular events and CVD/all-cause mortality in some, but not all of the included studies. Bile acids were associated with atrial fibrillation and CVD/all-cause mortality, but not with CVD. Positive associations were found between BCAAs and CVD, and between indole derivatives and major adverse cardiovascular events, while a negative association was reported between tryptophan and all-cause mortality. No studies examining the relationship between SCFAs and CVD risk were identified. Evidence from prospective studies included in the systematic review supports a role of microbial metabolites in CVD.
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Ottosson F, Smith E, Ericson U, Brunkwall L, Orho-Melander M, Di Somma S, Antonini P, Nilsson PM, Fernandez C, Melander O. Metabolome-Defined Obesity and the Risk of Future Type 2 Diabetes and Mortality. Diabetes Care 2022; 45:1260-1267. [PMID: 35287165 PMCID: PMC9174969 DOI: 10.2337/dc21-2402] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/14/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Obesity is a key risk factor for type 2 diabetes; however, up to 20% of patients are normal weight. Our aim was to identify metabolite patterns reproducibly predictive of BMI and subsequently to test whether lean individuals who carry an obese metabolome are at hidden high risk of obesity-related diseases, such as type 2 diabetes. RESEARCH DESIGN AND METHODS Levels of 108 metabolites were measured in plasma samples of 7,663 individuals from two Swedish and one Italian population-based cohort. Ridge regression was used to predict BMI using the metabolites. Individuals with a predicted BMI either >5 kg/m2 higher (overestimated) or lower (underestimated) than their actual BMI were characterized as outliers and further investigated for obesity-related risk factors and future risk of type 2 diabetes and mortality. RESULTS The metabolome could predict BMI in all cohorts (r2 = 0.48, 0.26, and 0.19). The overestimated group had a BMI similar to individuals correctly predicted as normal weight, had a similar waist circumference, were not more likely to change weight over time, but had a two times higher risk of future type 2 diabetes and an 80% increased risk of all-cause mortality. These associations remained after adjustments for obesity-related risk factors and lifestyle parameters. CONCLUSIONS We found that lean individuals with an obesity-related metabolome have an increased risk for type 2 diabetes and all-cause mortality compared with lean individuals with a healthy metabolome. Metabolomics may be used to identify hidden high-risk individuals to initiate lifestyle and pharmacological interventions.
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Affiliation(s)
- Filip Ottosson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Einar Smith
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Ulrika Ericson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | | | - Salvatore Di Somma
- Department of Medical-Surgery Sciences and Translational Medicine, University of Rome Sapienza, Rome, Italy
- GREAT Health Sciences, Rome, Italy
| | | | | | | | - Olle Melander
- Department of Clinical Sciences, Lund University, Malmö, Sweden
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Predictive Modeling of Alzheimer's and Parkinson's Disease Using Metabolomic and Lipidomic Profiles from Cerebrospinal Fluid. Metabolites 2022; 12:metabo12040277. [PMID: 35448464 PMCID: PMC9029812 DOI: 10.3390/metabo12040277] [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: 01/21/2022] [Revised: 03/08/2022] [Accepted: 03/17/2022] [Indexed: 02/04/2023] Open
Abstract
In recent years, metabolomics has been used as a powerful tool to better understand the physiology of neurodegenerative diseases and identify potential biomarkers for progression. We used targeted and untargeted aqueous, and lipidomic profiles of the metabolome from human cerebrospinal fluid to build multivariate predictive models distinguishing patients with Alzheimer's disease (AD), Parkinson's disease (PD), and healthy age-matched controls. We emphasize several statistical challenges associated with metabolomic studies where the number of measured metabolites far exceeds sample size. We found strong separation in the metabolome between PD and controls, as well as between PD and AD, with weaker separation between AD and controls. Consistent with existing literature, we found alanine, kynurenine, tryptophan, and serine to be associated with PD classification against controls, while alanine, creatine, and long chain ceramides were associated with AD classification against controls. We conducted a univariate pathway analysis of untargeted and targeted metabolite profiles and find that vitamin E and urea cycle metabolism pathways are associated with PD, while the aspartate/asparagine and c21-steroid hormone biosynthesis pathways are associated with AD. We also found that the amount of metabolite missingness varied by phenotype, highlighting the importance of examining missing data in future metabolomic studies.
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36
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Gonzalez-Covarrubias V, Martínez-Martínez E, del Bosque-Plata L. The Potential of Metabolomics in Biomedical Applications. Metabolites 2022; 12:metabo12020194. [PMID: 35208267 PMCID: PMC8880031 DOI: 10.3390/metabo12020194] [Citation(s) in RCA: 69] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/28/2022] [Accepted: 01/30/2022] [Indexed: 12/12/2022] Open
Abstract
The metabolome offers a dynamic, comprehensive, and precise picture of the phenotype. Current high-throughput technologies have allowed the discovery of relevant metabolites that characterize a wide variety of human phenotypes with respect to health, disease, drug monitoring, and even aging. Metabolomics, parallel to genomics, has led to the discovery of biomarkers and has aided in the understanding of a diversity of molecular mechanisms, highlighting its application in precision medicine. This review focuses on the metabolomics that can be applied to improve human health, as well as its trends and impacts in metabolic and neurodegenerative diseases, cancer, longevity, the exposome, liquid biopsy development, and pharmacometabolomics. The identification of distinct metabolomic profiles will help in the discovery and improvement of clinical strategies to treat human disease. In the years to come, metabolomics will become a tool routinely applied to diagnose and monitor health and disease, aging, or drug development. Biomedical applications of metabolomics can already be foreseen to monitor the progression of metabolic diseases, such as obesity and diabetes, using branched-chain amino acids, acylcarnitines, certain phospholipids, and genomics; these can assess disease severity and predict a potential treatment. Future endeavors should focus on determining the applicability and clinical utility of metabolomic-derived markers and their appropriate implementation in large-scale clinical settings.
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Affiliation(s)
| | - Eduardo Martínez-Martínez
- Laboratory of Cell Communication and Extracellular Vesicles, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico;
| | - Laura del Bosque-Plata
- Laboratory of Nutrigenetics and Nutrigenomics, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
- Correspondence: ; Tel.: +52-55-53-50-1974
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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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The Endogenous Metabolite Glycerophosphocholine Promotes Longevity and Fitness in Caenorhabditis elegans. Metabolites 2022; 12:metabo12020177. [PMID: 35208251 PMCID: PMC8875989 DOI: 10.3390/metabo12020177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 01/31/2022] [Accepted: 02/09/2022] [Indexed: 12/23/2022] Open
Abstract
Metabolism and aging are closely connected. The choline derivative glycerophosphocholine (GPC), an important precursor of the neurotransmitter acetylcholine, plays important roles in brain and nervous system function. Although it has been reported to alleviate cognitive decline in aged mice, whether GPC could promote longevity and other fitness factors remains unclear. Here, we find endogenous GPC level declines in the plasma of ageing humans. In Caenorhabditis elegans (C. elegans), GPC extends lifespan and improves exercise capacity during aging. Likewise, GPC inhibits lipofuscin accumulation. We further show that GPC treatment has no adverse effect on nematodes’ reproductive abilities and body length. In addition to its benefits under normal conditions, GPC enhances the stress resistance of C. elegans. Mechanically, we find GPC significantly inhibits the reactive oxygen species (ROS) accumulation in worms. Our findings indicate the health benefits of GPC and its potential application in strategies to improve lifespan and healthspan.
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Balasubramanian R, Hu J, Guasch-Ferre M, Li J, Sorond F, Zhao Y, Shutta KH, Salas-Salvado J, Hu F, Clish CB, Rexrode KM. Metabolomic Profiles Associated With Incident Ischemic Stroke. Neurology 2022; 98:e483-e492. [PMID: 34853177 PMCID: PMC8826464 DOI: 10.1212/wnl.0000000000013129] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 11/16/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Women have higher lifetime risk of stroke than men, and metabolic factors seem more strongly associated with stroke for women than men. However, few studies in either men or women have evaluated metabolomic profiles and incident stroke. METHODS We applied liquid chromatography-tandem mass spectrometry to measure 519 plasma metabolites in a discovery set of women in the Nurses' Health Study (NHS; 454 incident ischemic stroke cases, 454 controls) with validation in 2 independent, prospective cohorts: Prevención con Dieta Mediterránea (PREDIMED; 118 stroke cases, 791 controls) and Nurses' Health Study 2 (NHS2; 49 ischemic stroke cases, 49 controls). We applied logistic regression models with stroke as the outcome to adjust for multiple risk factors; the false discovery rate was controlled through the q value method. RESULTS Twenty-three metabolites were significantly associated with incident stroke in NHS after adjustment for traditional risk factors (q < 0.05). Of these, 14 metabolites were available in PREDIMED and 3 were significantly associated with incident stroke: methionine sulfoxide, N6-acetyllysine, and sucrose (q < 0.05). In NHS2, one of the 23 metabolites (glucuronate) was significantly associated with incident stroke (q < 0.05). For all 4 metabolites, higher levels were associated with increased risk. These 4 metabolites were used to create a stroke metabolite score (SMS) in the NHS and tested in PREDIMED. Per unit of standard deviation of SMS, the odds ratio for incident stroke was 4.12 (95% confidence interval [CI] 2.26-7.51) in PREDIMED, after adjustment for risk factors. In PREDIMED, the area under the receiver operating characteristic curve (AUC) for the model including SMS and traditional risk factors was 0.70 (95% CI 0.75-0.79) vs the AUC for the model including the traditional risk factors only of 0.65 (95% CI 0.70-0.75), corresponding to a 5% improvement in risk prediction with SMS (p < 0.005). DISCUSSION Metabolites associated with stroke included 2 amino acids, a carboxylic acid, and sucrose. A composite SMS including these metabolites was associated with ischemic stroke and showed improvement in risk prediction beyond traditional risk factors. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that a SMS accurately predicts incident ischemic stroke risk.
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Affiliation(s)
- Raji Balasubramanian
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge.
| | - Jie Hu
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Marta Guasch-Ferre
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Jun Li
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Farzaneh Sorond
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Yibai Zhao
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Katherine H Shutta
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Jordi Salas-Salvado
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Frank Hu
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Clary B Clish
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
| | - Kathryn M Rexrode
- From the Department of Biostatistics and Epidemiology (R.B., Y.Z., K.H.S.), University of Massachusetts-Amherst; Division of Women's Health (J.H., K.M.R.) and Channing Division of Network Medicine, Department of Medicine (M.G.-F., F.H.), Brigham and Women's Hospital, Harvard Medical School; Departments of Nutrition (M.G.-F., J.L., F.H.) and Epidemiology (J.L., F.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Davee Department of Neurology, Division of Stroke and Neurocritical Care (F.S.), Northwestern Feinberg School of Medicine, Chicago, IL; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició (J.S.S.), Universitat Rovira i Virgili, Reus; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) (J.S.-S.), Institute of Health Carlos III, Madrid; Nutrition Unit, Pere Virgili Research Institute (IISPV) (J.S.-S.), University Hospital of Sant Joan de Reus, Spain; and Broad Institute of the Massachusetts Institute of Technology and Harvard University (C.B.C.), Cambridge
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Abstract
Atherosclerotic cardiovascular disease (ASCVD) is a prime example of a systems disease. In the initial phase, apolipoprotein B-containing cholesterol-rich lipoproteins deposit excess cholesterol in macrophage-like cells that subsequently develop into foam cells. A multitude of systemic as well as environmental factors are involved in further progression of atherosclerotic plaque formation. In recent years, both oral and gut microbiota have been proposed to play an important role in the process at different stages. Particularly bacteria from the oral cavity may easily reach the circulation and cause low-grade inflammation, a recognized risk factor for ASCVD. Gut-derived microbiota on the other hand can influence host metabolism on various levels. Next to translocation across the intestinal wall, these prokaryotes produce a great number of specific metabolites such as trimethylamine and short-chain fatty acids but can also metabolize endogenously formed bile acids and convert these into metabolites that may influence signal transduction pathways. In this overview, we critically discuss the novel developments in this rapidly emerging research field.
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Affiliation(s)
- Hilde Herrema
- Departments of Internal and Experimental Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Max Nieuwdorp
- Departments of Internal and Experimental Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Albert K Groen
- Departments of Internal and Experimental Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands.
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
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41
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Leopold JA. Personalizing treatments for patients based on cardiovascular phenotyping. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2022; 7:4-16. [PMID: 36778892 PMCID: PMC9913616 DOI: 10.1080/23808993.2022.2028548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Introduction Cardiovascular disease persists as the leading cause of death worldwide despite continued advances in diagnostics and therapeutics. Our current approach to patients with cardiovascular disease is rooted in reductionism, which presupposes that all patients share a similar phenotype and will respond the same to therapy; however, this is unlikely as cardiovascular diseases exhibit complex heterogeneous phenotypes. Areas covered With the advent of high-throughput platforms for omics testing, phenotyping cardiovascular diseases has advanced to incorporate large-scale molecular data with classical history, physical examination, and laboratory results. Findings from genomics, proteomics, and metabolomics profiling have been used to define more precise cardiovascular phenotypes and predict adverse outcomes in population-based and disease-specific patient cohorts. These molecular data have also been utilized to inform drug efficacy based on a patient's unique phenotype. Expert opinion Multiscale phenotyping of cardiovascular disease has revealed diversity among patients that can be used to personalize pharmacotherapies and predict outcomes. Nonetheless, precision phenotyping for cardiovascular disease remains a nascent field that has not yet translated into widespread clinical practice despite its many potential advantages for patient care. Future endeavors that demonstrate improved pharmacotherapeutic responses and associated reduction in adverse events will facilitate mainstream adoption of precision cardiovascular phenotyping.
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Affiliation(s)
- Jane A. Leopold
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, 77 Ave Louis Pasteur, NRB0630K, Boston, Massachusetts, USA
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42
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Al-Muraikhy S, Sellami M, Domling AS, Rizwana N, Agouni A, Al-Khelaifi F, Donati F, Botre F, Diboun I, Elrayess MA. Metabolic Signature of Leukocyte Telomere Length in Elite Male Soccer Players. Front Mol Biosci 2021; 8:727144. [PMID: 34977149 PMCID: PMC8716766 DOI: 10.3389/fmolb.2021.727144] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 12/02/2021] [Indexed: 11/23/2022] Open
Abstract
Introduction: Biological aging is associated with changes in the metabolic pathways. Leukocyte telomere length (LTL) is a predictive marker of biological aging; however, the underlying metabolic pathways remain largely unknown. The aim of this study was to investigate the metabolic alterations and identify the metabolic predictors of LTL in elite male soccer players. Methods: Levels of 837 blood metabolites and LTL were measured in 126 young elite male soccer players who tested negative for doping abuse at anti-doping laboratory in Italy. Multivariate analysis using orthogonal partial least squares (OPLS), univariate linear models and enrichment analyses were conducted to identify metabolites and metabolic pathways associated with LTL. Generalized linear model followed by receiver operating characteristic (ROC) analysis were conducted to identify top metabolites predictive of LTL. Results: Sixty-seven metabolites and seven metabolic pathways showed significant associations with LTL. Among enriched pathways, lysophospholipids, benzoate metabolites, and glycine/serine/threonine metabolites were elevated with longer LTL. Conversely, monoacylglycerols, sphingolipid metabolites, long chain fatty acids and polyunsaturated fatty acids were enriched with shorter telomeres. ROC analysis revealed eight metabolites that best predict LTL, including glutamine, N-acetylglutamine, xanthine, beta-sitosterol, N2-acetyllysine, stearoyl-arachidonoyl-glycerol (18:0/20:4), N-acetylserine and 3-7-dimethylurate with AUC of 0.75 (0.64-0.87, p < 0.0001). Conclusion: This study characterized the metabolic activity in relation to telomere length in elite soccer players. Investigating the functional relevance of these associations could provide a better understanding of exercise physiology and pathophysiology of elite athletes.
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Affiliation(s)
- Shamma Al-Muraikhy
- Biomedical Research Center, Qatar University, Doha, Qatar
- Department of Drug Design, University of Groningen, Groningen, Netherlands
| | - Maha Sellami
- Department of Physical Education (PE), College of Education, Qatar University, Doha, Qatar
| | | | - Najeha Rizwana
- Biomedical Research Center, Qatar University, Doha, Qatar
| | - Abdelali Agouni
- Department of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, Qatar
- Biomedical and Pharmaceutical Research Unit (BPRU), QU Health, Qatar University, Doha, Qatar
| | | | - Francesco Donati
- Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy
| | - Francesco Botre
- Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy
| | - Ilhame Diboun
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Mohamed A Elrayess
- Biomedical Research Center, Qatar University, Doha, Qatar
- Biomedical and Pharmaceutical Research Unit (BPRU), QU Health, Qatar University, Doha, Qatar
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43
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Zhang C, Yan Q, Zhu Q, Liu J, Dong Y, Li Y, Wang R, Tang X, Lv X, Li X, Cai Y, Niu Y. Metabolomics Study of Isocaloric Different Dietary Patterns on the Life Span in Healthy Population. Clin Interv Aging 2021; 16:2111-2123. [PMID: 35221682 PMCID: PMC8866994 DOI: 10.2147/cia.s343057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/14/2021] [Indexed: 12/15/2022] Open
Abstract
Purpose How to prolong life by diet has been widely concerned. There are many reports about the effects of different dietary patterns on life span, but the results are not consistent. The main reason may be that total energy intake has not been considered. This study aims to explore the effects of isocaloric different dietary patterns on population life span. Materials and Methods From the data of the follow-up population, eligible participators were divided into normal control (NC) group (28.31% fat, 12.37% protein, 62.30% carbohydrate), isocaloric high-fat (IHF) group (38.39% fat, 12.21% protein, 51.32% carbohydrate), isocaloric high-protein (IHP) group (33.41% fat, 17.10% protein, 52.67% carbohydrate) and isocaloric high-carbohydrate (IHC) group (22.23% fat, 10.52% protein, 70.13% carbohydrate) according to the dietary structure and the age stratification. Global serum metabolic profiling analysis by UPLC−Q-TOF-MS/MS technology, fatty acid and amino acid profiles in serum were determined by GC-MS and UPLC-TQ-MS technology. One-way ANOVA followed by Dunnett post hoc test and receiver operating characteristic (ROC) curve analysis were used to statistical analysis. Results Non-targeted metabolomics was to identify 18 potential metabolites related to longevity. ROC curve analysis to identify biomarkers indicated that the areas under the ROC (AUC) of the 12 of 18 biomarkers are above 0.9. The 12 biomarkers were mainly enriched in three metabolic pathways: lipid metabolism, amino acid metabolism and tricarboxylic acid cycle. Compared to control, 11 and 10 of 12 biomarkers showed the same trend with aging in IHP and IHC groups, respectively. Conversely, no differences were observed between IHF group and NC group. Conclusion Without consideration of the nature of carbohydrates, fats and proteins, IHP and IHC diets might shorten life span by influencing amino acid metabolism, lipid metabolism and tricarboxylic acid cycle metabolism, while the isocaloric IHF diet has no effects on longevity.
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Affiliation(s)
- Cong Zhang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
- Center of Disease Control and Prevention of Xishan District, Wuxi, 214000, People’s Republic of China
| | - Qingna Yan
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Qiushuang Zhu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Jinxiao Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Yuanjie Dong
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Yuqiao Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Ruohua Wang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Xuanfeng Tang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Xinyi Lv
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Xiaoqing Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
| | - Yunjiang Cai
- Nursing College of Daqing Campus of Harbin Medical University, Daqing, 163319, People’s Republic of China
| | - Yucun Niu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People’s Republic of China
- Correspondence: Yucun Niu Department of Nutrition and Food Hygiene, College of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, People’s Republic of ChinaTel +86-451-8750-2730Fax +86-451-8750-2885 Email
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44
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Kaya A, Phua CZJ, Lee M, Wang L, Tyshkovskiy A, Ma S, Barre B, Liu W, Harrison BR, Zhao X, Zhou X, Wasko BM, Bammler TK, Promislow DEL, Kaeberlein M, Gladyshev VN. Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast. eLife 2021; 10:e64860. [PMID: 34751131 PMCID: PMC8612763 DOI: 10.7554/elife.64860] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 11/04/2021] [Indexed: 01/29/2023] Open
Abstract
To understand the genetic basis and selective forces acting on longevity, it is useful to examine lifespan variation among closely related species, or ecologically diverse isolates of the same species, within a controlled environment. In particular, this approach may lead to understanding mechanisms underlying natural variation in lifespan. Here, we analyzed 76 ecologically diverse wild yeast isolates and discovered a wide diversity of replicative lifespan (RLS). Phylogenetic analyses pointed to genes and environmental factors that strongly interact to modulate the observed aging patterns. We then identified genetic networks causally associated with natural variation in RLS across wild yeast isolates, as well as genes, metabolites, and pathways, many of which have never been associated with yeast lifespan in laboratory settings. In addition, a combined analysis of lifespan-associated metabolic and transcriptomic changes revealed unique adaptations to interconnected amino acid biosynthesis, glutamate metabolism, and mitochondrial function in long-lived strains. Overall, our multiomic and lifespan analyses across diverse isolates of the same species shows how gene-environment interactions shape cellular processes involved in phenotypic variation such as lifespan.
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Affiliation(s)
- Alaattin Kaya
- Department of Biology, Virginia Commonwealth UniversityRichmondUnited States
| | - Cheryl Zi Jin Phua
- Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR)SingaporeSingapore
| | - Mitchell Lee
- Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
| | - Lu Wang
- Department of Environmental and Occupational Health Sciences, University of WashingtonSeattleUnited States
| | - Alexander Tyshkovskiy
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical SchoolBostonUnited States
- Belozersky Institute of Physico-Chemical Biology, Moscow State UniversityMoscowRussian Federation
| | - Siming Ma
- Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR)SingaporeSingapore
| | - Benjamin Barre
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical SchoolBostonUnited States
| | - Weiqiang Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Institute of ZoologyBeijingChina
| | - Benjamin R Harrison
- Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
| | - Xiaqing Zhao
- Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
| | - Xuming Zhou
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical SchoolBostonUnited States
| | - Brian M Wasko
- Department of Biology, University of Houston - Clear LakeHoustonUnited States
| | - Theo K Bammler
- Department of Environmental and Occupational Health Sciences, University of WashingtonSeattleUnited States
| | - Daniel EL Promislow
- Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
- Department of Biology, University of WashingtonSeattleUnited States
| | - Matt Kaeberlein
- Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical SchoolBostonUnited States
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Kim DH, Bang E, Ha S, Jung HJ, Choi YJ, Yu BP, Chung HY. Organ-differential Roles of Akt/FoxOs Axis as a Key Metabolic Modulator during Aging. Aging Dis 2021; 12:1713-1728. [PMID: 34631216 PMCID: PMC8460295 DOI: 10.14336/ad.2021.0225] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 02/25/2021] [Indexed: 12/11/2022] Open
Abstract
FoxOs and their post-translational modification by phosphorylation, acetylation, and methylation can affect epigenetic modifications and promote the expression of downstream target genes. Therefore, they ultimately affect cellular and biological functions during aging or occurrence of age-related diseases including cancer, diabetes, and kidney diseases. As known for its key role in aging, FoxOs play various biological roles in the aging process by regulating reactive oxygen species, lipid accumulation, and inflammation. FoxOs regulated by PI3K/Akt pathway modulate the expression of various target genes encoding MnSOD, catalases, PPARγ, and IL-1β during aging, which are associated with age-related diseases. This review highlights the age-dependent differential regulatory mechanism of Akt/FoxOs axis in metabolic and non-metabolic organs. We demonstrated that age-dependent suppression of Akt increases the activity of FoxOs (Akt/FoxOs axis upregulation) in metabolic organs such as liver and muscle. This Akt/FoxOs axis could be modulated and reversed by antiaging paradigm calorie restriction (CR). In contrast, hyperinsulinemia-mediated PI3K/Akt activation inhibited FoxOs activity (Akt/FoxOs axis downregulation) leading to decrease of antioxidant genes expression in non-metabolic organs such as kidneys and lungs during aging. These phenomena are reversed by CR. The results of studies on the process of aging and CR indicate that the Akt/FoxOs axis plays a critical role in regulating metabolic homeostasis, redox stress, and inflammation in various organs during aging process. The benefical actions of CR on the Akt/FoxOs axis in metabolic and non-metabolic organs provide further insights into the molecular mechanisms of organ-differential roles of Akt/FoxOs axis during aging.
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Affiliation(s)
- Dae Hyun Kim
- 1Department of Pharmacy, College of Pharmacy, Pusan National University, Gumjung-gu, Busan 46241, Korea
| | - EunJin Bang
- 1Department of Pharmacy, College of Pharmacy, Pusan National University, Gumjung-gu, Busan 46241, Korea
| | - Sugyeong Ha
- 1Department of Pharmacy, College of Pharmacy, Pusan National University, Gumjung-gu, Busan 46241, Korea
| | - Hee Jin Jung
- 1Department of Pharmacy, College of Pharmacy, Pusan National University, Gumjung-gu, Busan 46241, Korea
| | - Yeon Ja Choi
- 2Department of Biopharmaceutical Engineering, Division of Chemistry and Biotechnology, Dongguk University, Gyeongju 38066, Korea
| | - Byung Pal Yu
- 3Department of Physiology, The University of Texas Health Science Center at San Antonio, TX 78229, USA
| | - Hae Young Chung
- 1Department of Pharmacy, College of Pharmacy, Pusan National University, Gumjung-gu, Busan 46241, Korea
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Zhou Y, Hu G, Wang MC. Host and microbiota metabolic signals in aging and longevity. Nat Chem Biol 2021; 17:1027-1036. [PMID: 34552221 DOI: 10.1038/s41589-021-00837-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 06/16/2021] [Indexed: 02/07/2023]
Abstract
Aging is an inevitable biochemical process that adversely affects personal health and poses ever-increasing challenges to society. Recent research has revealed the crucial role of metabolism in regulating aging and longevity. During diverse metabolic processes, the host organism and their symbiotic partners-the microbiota-produce thousands of chemical products (metabolites). Emerging studies have uncovered specific metabolites that act as signaling molecules to actively regulate longevity. Here we review the latest progress in understanding the molecular mechanisms by which metabolites from the host and/or microbiota promote longevity. We also highlight state-of-the-art technologies for discovering, profiling and imaging aging- and longevity-regulating metabolites and for deciphering the molecular basis of their actions. The broad application of these technologies in aging research, together with future advances, will foster the systematic discovery of aging- and longevity-regulating metabolites and their signaling pathways. These metabolite signals should provide promising targets for developing new interventions to promote longevity and healthy aging.
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Affiliation(s)
- Yue Zhou
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
| | - Guo Hu
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA.,Graduate Program in Genetics and Genomics, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Meng C Wang
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA. .,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA. .,Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX, USA.
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Nayor M, Shah SH, Murthy V, Shah RV. Molecular Aspects of Lifestyle and Environmental Effects in Patients With Diabetes: JACC Focus Seminar. J Am Coll Cardiol 2021; 78:481-495. [PMID: 34325838 DOI: 10.1016/j.jacc.2021.02.070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 01/07/2021] [Accepted: 02/01/2021] [Indexed: 01/04/2023]
Abstract
Diabetes is characterized as an integrated condition of dysregulated metabolism across multiple tissues, with well-established consequences on the cardiovascular system. Recent advances in precision phenotyping in biofluids and tissues in large human observational and interventional studies have afforded a unique opportunity to translate seminal findings in models and cellular systems to patients at risk for diabetes and its complications. Specifically, techniques to assay metabolites, proteins, and transcripts, alongside more recent assessment of the gut microbiome, underscore the complexity of diabetes in patients, suggesting avenues for precision phenotyping of risk, response to intervention, and potentially novel therapies. In addition, the influence of external factors and inputs (eg, activity, diet, medical therapies) on each domain of molecular characterization has gained prominence toward better understanding their role in prevention. Here, the authors provide a broad overview of the role of several of these molecular domains in human translational investigation in diabetes.
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Affiliation(s)
- Matthew Nayor
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. https://twitter.com/MattNayor
| | - Svati H Shah
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA. https://twitter.com/SvatiShah
| | - Venkatesh Murthy
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA; Frankel Cardiovascular Center, University of Michigan, Ann Arbor, Michigan, USA. https://twitter.com/venkmurthy
| | - Ravi V Shah
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
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Glycoursodeoxycholic acid ameliorates diet-induced metabolic disorders with inhibiting endoplasmic reticulum stress. Clin Sci (Lond) 2021; 135:1689-1706. [PMID: 34236076 PMCID: PMC8302808 DOI: 10.1042/cs20210198] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 06/30/2021] [Accepted: 07/08/2021] [Indexed: 12/12/2022]
Abstract
Recent studies reveal that bile acid metabolite composition and its metabolism are changed in metabolic disorders, such as obesity, type 2 diabetes and metabolic associated fatty liver disease (MAFLD), yet its role and the mechanism remain largely unknown. In the present study, metabolomic analysis of 163 serum and stool samples of our metabolic disease cohort was performed, and we identified glycoursodeoxycholic acid (GUDCA), glycine-conjugated bile acid produced from intestinal bacteria, was decreased in both serum and stool samples from patients with hyperglycemia. RNA-sequencing and quantitative PCR results indicated that GUDCA alleviated endoplasmic reticulum (ER) stress in livers of high fat diet (HFD)-fed mice without alteration of liver metabolism. In vitro, GUDCA reduced palmitic acid induced-ER stress and -apoptosis, as well as stabilized calcium homeostasis. In vivo, GUDCA exerted effects on amelioration of HFD-induced insulin resistance and hepatic steatosis. In parallel, ER stress and apoptosis were decreased in GUDCA-treated mice as compared with vehicle-treated mice in liver. These findings demonstrate that reduced GUDCA is an indicator of hyperglycemia. Supplementation of GUDCA could be an option for the treatment of diet-induced metabolic disorders, including insulin resistance and hepatic steatosis, with inhibiting ER stress.
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Mohammadzadeh Honarvar N, Zarezadeh M, Molsberry SA, Ascherio A. Changes in plasma phospholipids and sphingomyelins with aging in men and women: A comprehensive systematic review of longitudinal cohort studies. Ageing Res Rev 2021; 68:101340. [PMID: 33839333 DOI: 10.1016/j.arr.2021.101340] [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: 10/28/2020] [Revised: 02/25/2021] [Accepted: 04/02/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Aging affects the serum levels of various metabolites which may be involved in the pathogenesis of chronic diseases. The aim of this review article is to summarize the relationship between aging and alterations in the plasma phospholipids and sphingomyelins. METHODS PRISMA guidelines were employed during all steps. MEDLINE (PubMed), Scopus, Embase and Web of Sciences databases and Google Scholar were searched up to October 2020. Cohort studies investigating the relationship between aging and within-person changes in sphingomyelin (SM), phosphatidyl choline (PC), lyso PC (LPC) and phosphatidyl ethanolamine (PE) were included. Newcastle-Ottawa scale was used to assess the quality of included studies. RESULTS A total of 1425 studies were identified. After removing 610 duplicates and 723 irrelevant studies, full texts of 92 articles were evaluated. Of these 92, 6 studies (including data from 7 independent cohorts) met the inclusion criteria and are included in this review. All study populations were healthy and included both men and women. Results by sex were reported in 3 cohorts for PC, 5 cohorts for LPC, 3 cohorts for SM, and only 1 cohort for PE. In men, PC, SM, PE and LPC decreased with aging, although results for LPC were inconsistent. In women, LPC, SM, and PE increased age, whereas changes in PC were inconsistent. CONCLUSION Within-person serum levels of phospholipids and sphingomyelins, decrease during aging in men and increase in women. Notably, however, there were some inconsistencies across studies of LPC in men and of PC in women.
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Plasma methionine metabolic profile is associated with longevity in mammals. Commun Biol 2021; 4:725. [PMID: 34117367 PMCID: PMC8196171 DOI: 10.1038/s42003-021-02254-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 05/20/2021] [Indexed: 01/28/2023] Open
Abstract
Methionine metabolism arises as a key target to elucidate the molecular adaptations underlying animal longevity due to the negative association between longevity and methionine content. The present study follows a comparative approach to analyse plasma methionine metabolic profile using a LC-MS/MS platform from 11 mammalian species with a longevity ranging from 3.5 to 120 years. Our findings demonstrate the existence of a species-specific plasma profile for methionine metabolism associated with longevity characterised by: i) reduced methionine, cystathionine and choline; ii) increased non-polar amino acids; iii) reduced succinate and malate; and iv) increased carnitine. Our results support the existence of plasma longevity features that might respond to an optimised energetic metabolism and intracellular structures found in long-lived species. Mota-Martorell and colleagues use a comparative metabolomics approach to examine plasma metabolite levels associated with methionine metabolism in 11 mammalian species. They identify species specific plasma profiles indicative of a link between lifetime longevity and methionine metabolism.
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