{
    "abstract": "Investigation of circulating metabolites associated with kidney function and chronic kidney disease (CKD) risk could enhance our understanding of underlying pathways and identify new biomarkers for kidney function.\nWe selected participants from the population-based Rotterdam Study with data on circulating metabolites and estimated glomerular filtration rate based on serum creatinine (eGFRcreat) available at the same time point. Data on eGFR based on serum cystatin C (eGFRcys) and urine albumin-to-creatinine ratio (ACR) were also included. CKD was defined as eGFRcreat\u00a0<60\u00a0ml/min per 1.73\u00a0m\nWe included 3337 and 1540 participants with data from Nightingale and Metabolon, respectively. A total of 1381 metabolites (243 from Nightingale and 1138 from Metabolon) were included in the analyses. A large number of metabolites were significantly associated with eGFRcreat, eGFRcys, ACR, and CKD, including 16 metabolites that were associated with all four outcomes. Among these, C-glycosyltryptophan (HR 1.50, 95%CI 1.31;1.71) and X-12026 (HR 1.46, 95%CI 1.26;1.68) were most strongly associated with CKD risk. We revealed sex differences in the associations of 11-ketoetiocholanolone glucuronide and 11-beta-glucuronide with the kidney function assessments. No causal associations between the identified metabolites and kidney function were observed.\nOur study indicates that several circulating metabolites are associated with kidney function which are likely to have potential as biomarkers, rather than as molecules involved in the pathophysiology of kidney function decline.",
    "authors": [
        {
            "affiliation": "Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.",
            "firstname": "Anna C",
            "initials": "AC",
            "lastname": "van der Burgh"
        },
        {
            "affiliation": "Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.",
            "firstname": "Sven",
            "initials": "S",
            "lastname": "Geurts"
        },
        {
            "affiliation": "Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.",
            "firstname": "Shahzad",
            "initials": "S",
            "lastname": "Ahmad"
        },
        {
            "affiliation": "Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.",
            "firstname": "M Arfan",
            "initials": "MA",
            "lastname": "Ikram"
        },
        {
            "affiliation": "Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.\nDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.",
            "firstname": "Layal",
            "initials": "L",
            "lastname": "Chaker"
        },
        {
            "affiliation": "Division of Nephrology, Department of Medicine, Universit\u00e0 degli Studi di Verona, Verona, Italy.",
            "firstname": "Pietro Manuel",
            "initials": "PM",
            "lastname": "Ferraro"
        },
        {
            "affiliation": "Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.",
            "firstname": "Mohsen",
            "initials": "M",
            "lastname": "Ghanbari"
        }
    ],
    "conclusions": "Our study indicates that several circulating metabolites are associated with kidney function which are likely to have potential as biomarkers, rather than as molecules involved in the pathophysiology of kidney function decline.",
    "copyrights": "\u00a9 The Author(s) 2023. Published by Oxford University Press on behalf of the ERA.",
    "doi": "10.1093/ckj/sfad286\n10.1016/S0140-6736(11)60178-5\n10.1016/j.kisu.2017.07.003\n10.1016/S0140-6736(09)62004-3\n10.1681/ASN.2020030384\n10.1001/jama.2019.17379\n10.1001/jama.2019.17378\n10.1016/j.kint.2020.10.012\n10.1016/S0140-6736(20)30045-3\n10.1038/s41581-019-0120-0\n10.1681/ASN.2016121374\n10.7326/0003-4819-139-2-200307150-00013\n10.1007/s11606-018-4461-3\n10.1681/ASN.2009020171\n10.1111/bcp.12198\n10.1053/ajkd.2002.34487\n10.1111/j.1523-1755.2004.00517.x\n10.1038/ki.2008.638\n10.1007/s10654-020-00640-5\n10.1093/clinchem/38.10.1933\n10.1016/j.ekir.2021.10.006\n10.1056/NEJMoa1114248\n10.1016/j.ekir.2021.10.006\n10.1056/NEJMoa2102953\n10.1093/ndt/gft217\n10.1681/ASN.2012101006\n10.1681/ASN.2014111099\n10.2215/CJN.07650717\n10.2215/CJN.11971113\n10.1053/j.ajkd.2012.01.014\n10.1007/s11306-019-1613-3\n10.1038/s41598-020-69559-x\n10.1515/cclm-2012-0880\n10.1159/000320389\n10.1038/nrneph.2017.181\n10.1042/CS20160047",
    "journal": "Clinical kidney journal",
    "keywords": [
        "albuminuria",
        "chronic kidney disease",
        "glomerular filtration rate",
        "kidney function",
        "metabolomics"
    ],
    "methods": null,
    "publication_date": "2024-01-12",
    "pubmed_id": "38213486\n21840587\n30675422\n20382326\n32868398\n31703124\n31703118\n33127436\n32061315\n30723305\n28302756\n12859163\n29855865\n19833901\n23802624\n12148093\n15086483\n19119287\n32367290\n1394976\n34901574\n22762315\n34901574\n34554658\n23739151\n23687356\n26449609\n29519950\n25011442\n22464876\n31720858\n23989362\n11904577\n32728058\n23454717\n20948227\n29355169\n27252402",
    "results": "We included 3337 and 1540 participants with data from Nightingale and Metabolon, respectively. A total of 1381 metabolites (243 from Nightingale and 1138 from Metabolon) were included in the analyses. A large number of metabolites were significantly associated with eGFRcreat, eGFRcys, ACR, and CKD, including 16 metabolites that were associated with all four outcomes. Among these, C-glycosyltryptophan (HR 1.50, 95%CI 1.31;1.71) and X-12026 (HR 1.46, 95%CI 1.26;1.68) were most strongly associated with CKD risk. We revealed sex differences in the associations of 11-ketoetiocholanolone glucuronide and 11-beta-glucuronide with the kidney function assessments. No causal associations between the identified metabolites and kidney function were observed.",
    "title": "Circulating metabolites associated with kidney function decline and incident CKD: a multi-platform population-based study.",
    "xml": "<Element 'PubmedArticle' at 0x788503c24540>"
}