{
    "abstract": "This study aimed to identify markers of postprandial dysglycemia in the blood of self-described healthy individuals using dry blood spots (DBS) as a sampling strategy. A total of 54 volunteers, including 31 women, participated in a dietary challenge. They consumed a high-fat, high-sugar mixed meal and underwent multiple blood sampling over the course of 150\u00a0min to track their postprandial responses. Blood glucose levels were monitored with a portable glucometer and individuals were classified into two groups based on the glucose area under the curve (AUC): High-AUC (H-AUC) and Low-AUC (L-AUC). DBS sampling was performed at the same time points as the assessment of glycemia using Whatman 903 Protein Saver filter paper. A gas chromatography-mass spectrometry-based metabolite profiling was conducted in the DBS samples to assess postprandial changes in blood metabolome. Higher concentrations of metabolites associated with insulin resistance were observed in individuals from the H-AUC group, including sugars and sugar-derived products such as fructose and threonic acid, as well as organic acids and fatty acids such as succinate and stearic acid. Several metabolites detected in the GC-MS analysis remained unidentified, indicating that other markers of hyperglycemia remain to be discovered in DBS. Based on these observations, we demonstrated that the use of DBS as a non-invasive and inexpensive sampling tool allows the identification of metabolites markers of dysglycemia in the postprandial period.",
    "authors": [
        {
            "affiliation": "Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of S\u00e3o Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, S\u00e3o Paulo, SP, CEP 05508-900, Brazil.",
            "firstname": "Stephany Gon\u00e7alves",
            "initials": "SG",
            "lastname": "Duarte"
        },
        {
            "affiliation": "Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of S\u00e3o Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, S\u00e3o Paulo, SP, CEP 05508-900, Brazil.\nFood Research Center - FoRC, University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil.",
            "firstname": "Carlos M",
            "initials": "CM",
            "lastname": "Donado-Pestana"
        },
        {
            "affiliation": "Braunschweig Integrated Centre of Systems Biology, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany.",
            "firstname": "Tushar H",
            "initials": "TH",
            "lastname": "More"
        },
        {
            "affiliation": "Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of S\u00e3o Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, S\u00e3o Paulo, SP, CEP 05508-900, Brazil.",
            "firstname": "Larissa",
            "initials": "L",
            "lastname": "Rodrigues"
        },
        {
            "affiliation": "Braunschweig Integrated Centre of Systems Biology, Technische Universit\u00e4t Braunschweig, Braunschweig, Germany.",
            "firstname": "Karsten",
            "initials": "K",
            "lastname": "Hiller"
        },
        {
            "affiliation": "Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of S\u00e3o Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, S\u00e3o Paulo, SP, CEP 05508-900, Brazil. jarlei@usp.br.\nFood Research Center - FoRC, University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil. jarlei@usp.br.",
            "firstname": "Jarlei",
            "initials": "J",
            "lastname": "Fiamoncini"
        }
    ],
    "conclusions": null,
    "copyrights": "\u00a9 2024. The Author(s).",
    "doi": "10.1186/s12263-024-00752-7\n10.1186/s12944-015-0062-x\n10.1016/j.cofs.2017.08.006\n10.1007/s11306-011-0320-5\n10.1007/s12263-014-0423-5\n10.3390/nu14102032\n10.1038/s41591-020-0934-0\n10.1038/s41538-023-00233-y\n10.1016/j.ejps.2015.04.008\n10.1021/ac303205m\n10.1016/j.aca.2019.02.011\n10.1080/10408363.2022.2103085\n10.1002/mas.21441\n10.1016/j.cmet.2016.05.026\n10.1371/journal.pone.0015234\n10.1371/journal.pone.0013953\n10.1016/j.cmet.2009.02.002\n10.1111/jcmm.13984\n10.1016/j.cct.2009.08.001\n10.1021/ac802689c\n10.1016/j.metabol.2019.153974\n10.1016/j.cmet.2021.09.010\n10.3390/nu9090981\n10.1186/s12263-017-0570-6\n10.1002/mnfr.201901190\n10.2174/1389450117666151209120345\n10.2337/dc13-0800\n10.1194/jlr.M014787\n10.1016/j.jmb.2019.09.016\n10.1161/CIRCRESAHA.107.165472\n10.1210/en.2006-0057\n10.1080/10408398.2021.1907299\n10.1016/j.redox.2019.101365\n10.1515/hsz-2013-0271\n10.1007/s00125-017-4261-z\n10.1016/j.molmet.2021.101261\n10.1038/nm.4057\n10.1039/D0FO02156C\n10.1152/ajpendo.00134.2007\n10.1111/jdi.12323\n10.1155/2016/2108909\n10.1002/hep.29465\n10.2337/dc15-2251\n10.1210/en.2017-00148\n10.1016/j.cca.2023.117655\n10.1016/j.aca.2021.338214\n10.1007/s11306-021-01813-3\n10.1097/SHK.0000000000000406",
    "journal": "Genes & nutrition",
    "keywords": [
        "Dietary challenge",
        "Metabolomics",
        "Microsampling",
        "Nutritional physiology",
        "Postprandial"
    ],
    "methods": null,
    "publication_date": "2024-08-31",
    "pubmed_id": "39210266\n35774538\n26123789\n22448156\n25106484\n35631171\n32528151\n37914734\n25896371\n23171435\n30967174\n35938300\n25252132\n27345421\n21170321\n21085649\n19356713\n30402908\n19737630\n19358599\n31682799\n34619074\n28878197\n28861127\n32170825\n26648072\n24026559\n21447485\n31628942\n18309108\n16556766\n33797995\n31707354\n24445237\n30918104\n28382382\n34044180\n26950361\n33289736\n17925455\n26221519\n26881241\n28802074\n27208380\n28323968\n37977234\n33551057\n34164733\n26009817",
    "results": null,
    "title": "Dry blood spots as a sampling strategy to identify insulin resistance markers during a dietary challenge.",
    "xml": "<Element 'PubmedArticle' at 0x788504311210>"
}