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      Cross-sectional analyses of metabolites across biological samples mediating dietary acid load and chronic kidney disease

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          Summary

          Chronic kidney disease (CKD) is a major public health burden, with dietary acid load (DAL) and gut microbiota playing crucial roles. As DAL can affect the host metabolome, potentially via the gut microbiota, we cross-sectionally investigated the interplay between DAL, host metabolome, gut microbiota, and early-stage CKD (TwinsUK, n = 1,453). DAL was positively associated with CKD stage G1-G2 (Beta (95% confidence interval) = 0.34 (0.007; 0.7), p = 0.046). After adjusting for covariates and multiple testing, we identified 15 serum, 14 urine, 8 stool, and 7 saliva metabolites, primarily lipids and amino acids, associated with both DAL and CKD progression. Of these, 8 serum, 2 urine, and one stool metabolites were found to mediate the DAL-CKD association. Furthermore, the stool metabolite 5-methylhexanoate (i7:0) correlated with 26 gut microbial species. Our findings emphasize the gut microbiota’s therapeutic potential in countering DAL’s impact on CKD through the host metabolome. Interventional and longitudinal studies are needed to establish causality.

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          Highlights

          • Multi-biological sample metabolites associate with dietary acid load and kidney function

          • Multiple associated metabolites mediated between DAL and mild kidney function decline

          • The stool metabolite, 5-methylhexanoate(i7:0), correlated with several gut microbial species

          Abstract

          Health sciences; Medicine; Medical specialty; Internal medicine; Nephrology; Natural sciences; Biological sciences; Systems biology; Metabolomics

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          Most cited references54

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            FactoMineR: AnRPackage for Multivariate Analysis

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              New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race

              Current equations for estimated glomerular filtration rate (eGFR) that use serum creatinine or cystatin C incorporate age, sex, and race to estimate measured GFR. However, race in eGFR equations is a social and not a biologic construct.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                05 February 2024
                15 March 2024
                05 February 2024
                : 27
                : 3
                : 109132
                Affiliations
                [1 ]Department of Twin Research, King’s College London, St Thomas' Hospital Campus, London SE1 7EH, UK
                [2 ]Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, the Netherlands
                [3 ]Department of Nutrition & Dietetics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK
                [4 ]Metabolon, Research Triangle Park, Morrisville, NC 27560, USA
                Author notes
                []Corresponding author ilias.attaye@ 123456kcl.ac.uk
                [∗∗ ]Corresponding author cristina.menni@ 123456kcl.ac.uk
                [5]

                These authors contributed equally

                [6]

                Senior author

                [7]

                Lead contact

                Article
                S2589-0042(24)00353-5 109132
                10.1016/j.isci.2024.109132
                10907771
                38433906
                7912ff8e-f151-470d-8c78-2e70e6e35fbd
                © 2024 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 October 2023
                : 14 December 2023
                : 1 February 2024
                Categories
                Article

                health sciences,medicine,medical specialty,internal medicine,nephrology,natural sciences,biological sciences,systems biology,metabolomics

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