Yuhong Luo, Lingzhi Shu, Chen Xin, Yuhua Liu, Yan Xu, Binru Han
{"title":"Systemic inflammatory indices SIRI, AISI, and PWR are associated with sarcopenic obesity in middle-aged and older chinese adults: a cross-sectional study.","authors":"Yuhong Luo, Lingzhi Shu, Chen Xin, Yuhua Liu, Yan Xu, Binru Han","doi":"10.1186/s12986-026-01117-0","DOIUrl":"10.1186/s12986-026-01117-0","url":null,"abstract":"","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13147702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147521537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huakang Li, Jing Wang, Yuanzhen Mi, Cuicui Gong, Ziliang Wu, Pengxuan Gu, Wenxi Zhou, Bing Lin, Ke Xu, Jinyi Lang
{"title":"Causal effects of gut microbiota and blood metabolites on subtypes of perinatal depression classified based on depressive symptom trajectories: a mendelian randomization study.","authors":"Huakang Li, Jing Wang, Yuanzhen Mi, Cuicui Gong, Ziliang Wu, Pengxuan Gu, Wenxi Zhou, Bing Lin, Ke Xu, Jinyi Lang","doi":"10.1186/s12986-026-01111-6","DOIUrl":"10.1186/s12986-026-01111-6","url":null,"abstract":"<p><strong>Background: </strong>Perinatal depression (PD) is classified into four subtypes: pregnancy, early postpartum, late postpartum, and chronic, based on depressive symptom trajectories, with each subtype potentially involving distinct biological mechanisms. However, the causal effects of gut microbiota and blood metabolites on these PD subtypes have not been systematically investigated.</p><p><strong>Methods: </strong>Using genome-wide association study (GWAS) data from East Asian cohorts, we performed two-sample Mendelian randomization (MR) to assess causal effects of 341 gut microbial taxa and 67 blood metabolites on four PD subtypes. Reverse MR analyses were performed to exclude potential reverse causality. A two-step mediation MR analysis was conducted to examine whether blood metabolites mediate the effects of gut microbiota on specific subtypes. To ensure robustness, gut microbial taxa showing suggestive causal associations were validated using independent GWAS data from the MiBioGen consortium.</p><p><strong>Results: </strong>We identified 21 gut microbial taxa and five blood metabolites that showed suggestive causal associations with specific PD subtypes (P < 0.05, uncorrected). No reverse causality was detected between the subtypes and identified microbes or metabolites. Shared feature analysis indicated that s_Bacteroides caccae was a potential protective gut microbiota shared between early postpartum PD and late postpartum PD, whereas g_Collinsella was a potential risk-associated gut microbiota shared between these two subtypes, with its risk effect on early postpartum PD confirmed using independent GWAS data from the MiBioGen consortium. No blood metabolites were shared across subtypes. After multiple testing correction, only the protective effect of Bacteroides caccae on early postpartum PD remained statistically significant. Mediation analyses showed that s_Prevotella veroralis increased the risk of pregnancy PD by elevating phenylalanine levels (mediation proportion: 19.6%), whereas s_Bacteroides caccae reduced the risk of early postpartum PD by lowering ornithine levels (mediation proportion: 5.1%).</p><p><strong>Conclusions: </strong>This study establishes evidence for a gut microbiota-blood metabolite-PD subtype regulatory network in East Asian populations. These findings elucidate the heterogeneous mechanisms underlying PD subtypes and provide a foundation for the development of subtype-specific precision interventions.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13130589/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147499499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effect of oleic acid enriched diets on glucose and lipid metabolism: a systematic review and meta-analysis.","authors":"Haixia Xu, Xiuxiu Xu, Mohammad Hassan Sohouli","doi":"10.1186/s12986-026-01110-7","DOIUrl":"10.1186/s12986-026-01110-7","url":null,"abstract":"","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112641/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147481241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Feng Wang, Xiaodie Li, Xue Gao, Jinping Liang, Xuemei Guo, Jingzhong Ou, Ya Yuan, Chuchu Zhao, Ting Zhang, Juan Dai
{"title":"Metabolomics reveals early pregnancy serum metabolic changes and predictive biomarkers in gestational diabetes mellitus.","authors":"Feng Wang, Xiaodie Li, Xue Gao, Jinping Liang, Xuemei Guo, Jingzhong Ou, Ya Yuan, Chuchu Zhao, Ting Zhang, Juan Dai","doi":"10.1186/s12986-026-01107-2","DOIUrl":"10.1186/s12986-026-01107-2","url":null,"abstract":"<p><strong>Background: </strong>Gestational diabetes mellitus (GDM) is a metabolic disorder characterized by impaired glucose tolerance during pregnancy. The incidence of GDM is rising annually, with the potential to elicit a multitude of adverse pregnancy outcomes. However, the diagnostic approaches for GDM are limited, lacking early diagnostic markers, thereby narrowing the treatment window and restricting therapeutic options.</p><p><strong>Methods: </strong>In a nested case-control study, 34 pregnant women diagnosed with GDM were matched with 34 non-GDM women based on similar age, gestational age, gravidity, and parity. A retrospective analysis was conducted using untargeted metabolomics to explore serum metabolic differences between the two groups during early pregnancy (9-13 weeks). Additionally, targeted quantification of biomarker levels was performed, and a predictive model was established.</p><p><strong>Results: </strong>Fifty-six differential metabolites were identified between the GDM and non-GDM groups in early pregnancy, primarily encompassing amino acids and their derivatives, as well as lipids and lipid-like molecules. Enriched metabolic pathway analysis revealed significant changes in arginine biosynthesis, nitrogen metabolism, glutamate metabolism, and glycerophospholipid metabolism, among others, in the GDM group during early pregnancy. Specifically, glycerophospholipid metabolism was upregulated, while glutamate metabolism was downregulated. Furthermore, ROC curve analysis revealed that a combination of three metabolites-L-phenylalanine, uracil, and pyroglutamic acid-displayed robust predictive power for GDM (AUC = 0.920, sensitivity = 0.941, and specificity = 0.794). Following absolute quantification of the combined biomarkers, a predictive equation based on binary logistic regression was formulated as follows: [Formula: see text]. This equation exhibited an AUC of 0.860, a sensitivity of 0.714, and a specificity of 0.857, demonstrating exceptional predictive capability for GDM in early pregnancy.</p><p><strong>Conclusions: </strong>This study identified significant serum metabolic changes during early pregnancy in GDM women, unveiling potential mechanisms underlying the early development of GDM and prognostic biomarkers. These findings not only deepen our understanding of metabolic disturbances in GDM but also provide crucial theoretical foundations for early screening and precision interventions in clinical practice.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13104231/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147458881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of insulin resistance indexes with longitudinal trajectories of cardiometabolic multimorbidity: insights from the UK Biobank.","authors":"Yingdong Han, Juan Wu, Menghui Yao, Zhikai Li, Tiange Xie, Yun Zhang, Xuejun Zeng","doi":"10.1186/s12986-026-01098-0","DOIUrl":"10.1186/s12986-026-01098-0","url":null,"abstract":"","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13104193/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147458790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}