{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T01:40:44Z","timestamp":1790300444402,"version":"4.1.0"},"reference-count":43,"publisher":"Microbiology Society","issue":"5","license":[{"start":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T00:00:00Z","timestamp":1747180800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2021A1515012200"],"award-info":[{"award-number":["2021A1515012200"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2022A1515011550"],"award-info":[{"award-number":["2022A1515011550"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,14]]},"abstract":"<jats:p>\n                  <jats:bold>Introduction.<\/jats:bold> Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy and negatively affects the health of mothers and infants. The aim of this study was to explore the associations between gut microbiota and the risk of GDM amongst overweight\/obese women, and the interaction between gut microbiota dysbiosis and overweight\/obesity in pregnant women with GDM.<\/jats:p>\n               <jats:p>\n                  <jats:bold>Hypothesis\/Gap statement.<\/jats:bold> Previous studies revealed that there may be a link between gut microbiota and GDM and obesity, but these studies have not reported the associations between gut microbiota and the risk of GDM amongst overweight\/obese women, whilst the interaction between gut microbiota dysbiosis and overweight\/obesity in pregnant women with GDM remains unknown.<\/jats:p>\n               <jats:p>\n                  <jats:bold>Aim.<\/jats:bold>\n                  <jats:named-content content-type=\"#000000\"> Based on a prospective cohort study, we explored the composition of gut microbiota <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">in overweight\/obese pregnant women<\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\"> and its association with GDM.<\/jats:named-content>\n               <\/jats:p>\n               <jats:p>\n                  <jats:bold>\n                     <jats:named-content content-type=\"#000000\">Methodology.<\/jats:named-content>\n                  <\/jats:bold>\n                  <jats:named-content content-type=\"#000000\">Participants (n=1820) were enrolled from the Pregnancy Metabolic Disease and Adverse Pregnancy Outcome cohort in Guangzhou, China, between 2019 and 2021. The participants\u2019 information and faecal samples were collected, and the relative abundance of faecal microbiota was profiled using 16S rRNA V4 region sequencing. Pregnant women were divided into four groups: non- overweight (NOW)\/obese without GDM (OB- NGDM), overweight (OW)\/OB- NGDM, NOW\/obese with GDM (OB- GDM) and OW\/OB- GDM. Linear discriminant analysis effect size (LEfSe) analysis, Spearman\u2019s correlation analysis and t- test were performed to estimate the association amongst microbiota, pre- pregnancy BMI and oral glucose tolerance test (OGTT) glucose levels.<\/jats:named-content>\n               <\/jats:p>\n               <jats:p>\n                  <jats:bold>\n                     <jats:named-content content-type=\"#000000\">Results<\/jats:named-content>\n                     <jats:named-content content-type=\"#000000\">.<\/jats:named-content>\n                  <\/jats:bold>\n                  <jats:named-content content-type=\"#000000\">\n                     <jats:italic>Blautia<\/jats:italic>, <jats:italic>Anaerostipes<\/jats:italic>, <jats:italic>Synergistes<\/jats:italic> (<jats:italic>P<\/jats:italic>&lt;0.001) and <jats:italic>Christensenellaceae_R_7_group<\/jats:italic> (<jats:italic>P<\/jats:italic>=0.007) were significantly different between NOW\/OB-GDM and OW\/OB-GDM groups after adjusting for age. <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">\n                     <jats:italic>Odoribacter<\/jats:italic>, <jats:italic>Anaerostipes<\/jats:italic>, <jats:italic>Monoglobus<\/jats:italic>, <jats:italic>Romboutsia<\/jats:italic>, <jats:italic>Oscillospiraceae__UCG-003<\/jats:italic>, <jats:italic>Blautia<\/jats:italic> and <jats:italic>Dialister<\/jats:italic>\n                  <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">were significantly correlated with both OGTT 1 h <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">(<jats:italic>P<\/jats:italic>&lt;0.001) and <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">2 h (<jats:italic>P<\/jats:italic>&lt;0.05) <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">blood glucose levels<\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">, whilst <jats:italic>Lactobacillus<\/jats:italic>\n                  <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">(<jats:italic>P<\/jats:italic>&lt;0.001)<\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\"> were significantly correlated with OGTT 2 h blood glucose levels. <jats:italic>Synergistes<\/jats:italic>\n                  <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">(<jats:italic>P<\/jats:italic>&lt;0.001)<\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\"> were significantly correlated with OGTT fasting glucose levels, and <jats:italic>Megasphaera<\/jats:italic> and <jats:italic>Odoribacter<\/jats:italic>\n                  <\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\">(<jats:italic>P<\/jats:italic>&lt;0.05)<\/jats:named-content>\n                  <jats:named-content content-type=\"#000000\"> were significantly correlated with pre-pregnancy BMI.<\/jats:named-content>\n               <\/jats:p>\n               <jats:p>\n                  <jats:bold>Conclusions.<\/jats:bold> GDM and OB\/OW women was experiencing microbiota dysbiosis, especially the microbial communities related to glucose metabolism.<\/jats:p>","DOI":"10.1099\/jmm.0.002010","type":"journal-article","created":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T15:16:18Z","timestamp":1747235778000},"source":"Crossref","is-referenced-by-count":10,"title":["Association of gut microbiota with overweight\/obesity combined with gestational diabetes mellitus"],"prefix":"10.1099","volume":"74","author":[{"given":"Shanshan","family":"Mei","sequence":"first","affiliation":[{"name":"Department of Obstetrics, Guangzhou Women and Children\u2019s Medical Center, Guangzhou Medical University, Guangzhou, 510623, PR 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