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      Metabolomic Profiles, Ideal Cardiovascular Health, and Risk of Heart Failure and Atrial Fibrillation: Insights From the Framingham Heart Study

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          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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          Most cited references64

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond.

            This document details the procedures and recommendations of the Goals and Metrics Committee of the Strategic Planning Task Force of the American Heart Association, which developed the 2020 Impact Goals for the organization. The committee was charged with defining a new concept, cardiovascular health, and determining the metrics needed to monitor it over time. Ideal cardiovascular health, a concept well supported in the literature, is defined by the presence of both ideal health behaviors (nonsmoking, body mass index <25 kg/m(2), physical activity at goal levels, and pursuit of a diet consistent with current guideline recommendations) and ideal health factors (untreated total cholesterol <200 mg/dL, untreated blood pressure <120/<80 mm Hg, and fasting blood glucose <100 mg/dL). Appropriate levels for children are also provided. With the use of levels that span the entire range of the same metrics, cardiovascular health status for the whole population is defined as poor, intermediate, or ideal. These metrics will be monitored to determine the changing prevalence of cardiovascular health status and define achievement of the Impact Goal. In addition, the committee recommends goals for further reductions in cardiovascular disease and stroke mortality. Thus, the committee recommends the following Impact Goals: "By 2020, to improve the cardiovascular health of all Americans by 20% while reducing deaths from cardiovascular diseases and stroke by 20%." These goals will require new strategic directions for the American Heart Association in its research, clinical, public health, and advocacy programs for cardiovascular health promotion and disease prevention in the next decade and beyond.
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              Metabolite profiles and the risk of developing diabetes.

              Emerging technologies allow the high-throughput profiling of metabolic status from a blood specimen (metabolomics). We investigated whether metabolite profiles could predict the development of diabetes. Among 2,422 normoglycemic individuals followed for 12 years, 201 developed diabetes. Amino acids, amines and other polar metabolites were profiled in baseline specimens by liquid chromatography-tandem mass spectrometry (LC-MS). Cases and controls were matched for age, body mass index and fasting glucose. Five branched-chain and aromatic amino acids had highly significant associations with future diabetes: isoleucine, leucine, valine, tyrosine and phenylalanine. A combination of three amino acids predicted future diabetes (with a more than fivefold higher risk for individuals in top quartile). The results were replicated in an independent, prospective cohort. These findings underscore the potential key role of amino acid metabolism early in the pathogenesis of diabetes and suggest that amino acid profiles could aid in diabetes risk assessment.
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                Author and article information

                Contributors
                jefetter@bu.edu
                dmgopal@bu.edu
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                10 June 2023
                20 June 2023
                : 12
                : 12 ( doiID: 10.1002/jah3.v12.12 )
                : e028022
                Affiliations
                [ 1 ] Department of Biostatistics, School of Public Health Boston University Boston MA USA
                [ 2 ] Harvard University Cambridge MA USA
                [ 3 ] Evans Department of Medicine and Whitaker Cardiovascular Institute Boston University Chobanian & Avedisian School of Medicine Boston MA USA
                [ 4 ] Section of Cardiovascular Medicine, Department of Medicine Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center Boston MA USA
                [ 5 ] Evans Department of Medicine, Section of Cardiovascular Medicine and Department of Epidemiology Boston University Boston MA USA
                [ 6 ] Population Sciences Branch, Division of Intramural Research National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD USA
                [ 7 ] Section of Preventive Medicine and Epidemiology, Department of Medicine Boston University Chobanian & Avedisian School of Medicine Boston MA USA
                [ 8 ] Department of Biostatistics Boston University School of Public Health Boston MA USA
                [ 9 ] Framingham Heart Study Framingham MA USA
                Author notes
                [*] [* ] Correspondence to: Deepa M. Gopal, MD, MS, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord St – Suite 812D, Boston, MA 02118. Email: dmgopal@ 123456bu.edu

                and Jessica L. Fetterman, PhD, Boston University Chobanian & Avedisian School of Medicine, 600 Albany St, W‐602A, Boston, MA, 02118. Email: jefetter@ 123456bu.edu

                [*]

                Y. Li and A. Gray are co‐first authors.

                [ † ]

                V. Xanthakis, C. Liu, J. L. Fetterman, and D. M. Gopal share senior authorship.

                Author information
                https://orcid.org/0000-0002-5544-750X
                https://orcid.org/0000-0002-5081-6951
                https://orcid.org/0009-0006-9281-4598
                https://orcid.org/0000-0002-6811-4384
                https://orcid.org/0000-0002-0480-1249
                https://orcid.org/0000-0001-6019-8627
                https://orcid.org/0000-0002-1174-7535
                https://orcid.org/0000-0003-4076-2336
                https://orcid.org/0000-0003-1843-8724
                https://orcid.org/0000-0001-7357-5970
                https://orcid.org/0000-0002-9631-1254
                https://orcid.org/0000-0002-7352-621X
                https://orcid.org/0000-0002-9160-0153
                https://orcid.org/0000-0002-9286-7538
                https://orcid.org/0000-0003-3534-9360
                Article
                JAH38465 JAHA/2022/028022-T
                10.1161/JAHA.122.028022
                10356055
                37301766
                a5753fdb-9dea-4c88-964d-0ee9e3c83bd8
                © 2023 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 26 November 2022
                : 13 April 2023
                Page count
                Figures: 5, Tables: 3, Pages: 13, Words: 8388
                Funding
                Funded by: Boston University Career Development
                Funded by: Boston University , doi 10.13039/100007161;
                Award ID: CTSI 1UL1TR001430
                Funded by: Doris Duke Charitable Foundation , doi 10.13039/100000862;
                Award ID: 2021261
                Funded by: John Templeton Foundation , doi 10.13039/100000925;
                Award ID: 62288
                Funded by: National Heart, Lung, and Blood Institute , doi 10.13039/100000050;
                Award ID: R01HL092577
                Funded by: American Heart Association , doi 10.13039/100000968;
                Award ID: AHA_18SFRN34110082
                Award ID: 17FTF33670369
                Funded by: Evans Medical Foundation and Jay and Louis Coffman Endowment from the Department of Medicine at Boston University Chobanian & Avedisian School of Medicine
                Categories
                Original Research
                Original Research
                Epidemiology
                Custom metadata
                2.0
                20 June 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.9 mode:remove_FC converted:20.06.2023

                Cardiovascular Medicine
                atrial fibrillation,cvh score,heart failure,mediation analysis,metabolomics,cardiovascular disease,functional genomics

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