{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T16:23:21Z","timestamp":1792167801999,"version":"4.4.0"},"reference-count":118,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T00:00:00Z","timestamp":1677196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"FEDER Project Infrastructure","award":["IE_2019-198"],"award-info":[{"award-number":["IE_2019-198"]}]},{"name":"Junta de Andaluc\u00eda Proyectos de Excelencia","award":["IE_2019-198"],"award-info":[{"award-number":["IE_2019-198"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Human gut microbiota seems to drive the interaction with host metabolism through microbial metabolites, enzymes, and bioactive compounds. These components determine the host health\u2013disease balance. Recent metabolomics and combined metabolome\u2013microbiome studies have helped to elucidate how these substances could differentially affect the individual host pathophysiology according to several factors and cumulative exposures, such as obesogenic xenobiotics. The present work aims to investigate and interpret newly compiled data from metabolomics and microbiota composition studies, comparing controls with patients suffering from metabolic-related diseases (diabetes, obesity, metabolic syndrome, liver and cardiovascular diseases, etc.). The results showed, first, a differential composition of the most represented genera in healthy individuals compared to patients with metabolic diseases. Second, the analysis of the metabolite counts exhibited a differential composition of bacterial genera in disease compared to health status. Third, qualitative metabolite analysis revealed relevant information about the chemical nature of metabolites related to disease and\/or health status. Key microbial genera were commonly considered overrepresented in healthy individuals together with specific metabolites, e.g., Faecalibacterium and phosphatidylethanolamine; and the opposite, Escherichia and Phosphatidic Acid, which is converted into the intermediate Cytidine Diphosphate Diacylglycerol-diacylglycerol (CDP-DAG), were overrepresented in metabolic-related disease patients. However, it was not possible to associate most specific microbiota taxa and metabolites according to their increased and decreased profiles analyzed with health or disease. Interestingly, positive association of essential amino acids with the genera Bacteroides were observed in a cluster related to health, and conversely, benzene derivatives and lipidic metabolites were related to the genera Clostridium, Roseburia, Blautia, and Oscillibacter in a disease cluster. More studies are needed to elucidate the microbiota species and their corresponding metabolites that are key in promoting health or disease status. Moreover, we propose that greater attention should be paid to biliary acids and to microbiota\u2013liver cometabolites and its detoxification enzymes and pathways.<\/jats:p>","DOI":"10.3390\/ijms24054519","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T03:23:36Z","timestamp":1677468216000},"page":"4519","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Key Stratification of Microbiota Taxa and Metabolites in the Host Metabolic Health\u2013Disease Balance"],"prefix":"10.3390","volume":"24","author":[{"given":"Alfonso","family":"Torres-S\u00e1nchez","sequence":"first","affiliation":[{"name":"Department of Microbiology, Faculty of Pharmacy, Campus of Cartuja, University of Granada, 18071 Granada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6464-0996","authenticated-orcid":false,"given":"Alicia","family":"Ruiz-Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"Department of Microbiology, Faculty of Pharmacy, Campus of Cartuja, University of Granada, 18071 Granada, Spain"},{"name":"Institute of Nutrition and Food Technology \u201cJos\u00e9 Mataix\u201d (INYTA), Centre of Biomedical Research, University of Granada, 18016 Granada, Spain"},{"name":"Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, Campus of Cartuja, University of Granada, 18071 Granada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2214-2221","authenticated-orcid":false,"given":"Pilar","family":"Ortiz","sequence":"additional","affiliation":[{"name":"Institute of Nutrition and Food Technology \u201cJos\u00e9 Mataix\u201d (INYTA), Centre of Biomedical Research, University of Granada, 18016 Granada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3204-9787","authenticated-orcid":false,"given":"Margarita","family":"Aguilera","sequence":"additional","affiliation":[{"name":"Department of Microbiology, Faculty of Pharmacy, Campus of Cartuja, University of Granada, 18071 Granada, Spain"},{"name":"Institute of Nutrition and Food Technology \u201cJos\u00e9 Mataix\u201d (INYTA), Centre of Biomedical Research, University of Granada, 18016 Granada, Spain"},{"name":"Instituto de Investigaci\u00f3n Biosanitaria (IBS), 18012 Granada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Duan, M., Wang, Y., Zhang, Q., Zou, R., Guo, M., and Zheng, H. 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