Human Nutrition and Metabolism最新文献

{"title":"Metabolite profiling in assessing ulcerative colitis activity: A systematic review","authors":"Danyang Cui ,&nbsp;Xu Han ,&nbsp;Jiazhu Jin ,&nbsp;Yanhong Wang ,&nbsp;Zijia Chen ,&nbsp;Yang Gong ,&nbsp;Miao Jiang","doi":"10.1016/j.hnm.2025.200298","DOIUrl":"10.1016/j.hnm.2025.200298","url":null,"abstract":"<div><h3>Background</h3><div>Ulcerative colitis (UC) is an immune-mediated chronic inflammatory condition of the colon, characterized by defects in the intestinal epithelial barrier, dysbiosis of the microbiota, and immune dysregulation. Metabolite profile has been widely and successfully used to characterize patient features in UC, as the development of metabolomics technology. Specific combinations of small metabolites can accurately depict the real-time pathological state of the body. Previous systematic reviews have focused on metabolite analysis between UC patients and healthy individuals, but have not systematically evaluated metabolite changes in different disease stages. This study focused on distinguish between patients in active and inactive phases, and even have the potential to predict changes in disease activity.</div></div><div><h3>Aim</h3><div>To summarize the distinct metabolites between the active and remission phases in serum and colonic mucosa in patients with UC.</div></div><div><h3>Methods</h3><div>A comprehensive literature search was conducted in PubMed, Embase, the Cochrane Library, Web of Science, WanFang Data, and China National Knowledge Infrastructure from 1995 to 2022. Studies were selected which included metabolomics detection on serum or mucosal samples from patients with active or remission phase UC. The disease activity was assessed by using the Mayo score, Ulcerative colitis activity index score, or Geboes score. The risk of bias was assessed using the Newcastle-Ottawa Scale.</div></div><div><h3>Results</h3><div>Eleven articles (10 in English and 1 in Chinese) and 357 patients were included. Qualitative analysis was performed according to the classification of gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry, or nuclear magnetic resonance. In the active period of UC, metabolites such as lipids, Amino acids showed a certain trend of change. Arachidonic acid showed specific upregulation in both serum and mucosal samples during the active stage in patients with UC.</div></div><div><h3>Conclusion</h3><div>There exists an association between metabolite profile and disease activity in patients with UC. Especially in patients with active UC, the lipid metabolite (arachidonic acid) is highly expressed simultaneously in the serum and mucosa. This finding will identify small molecule biomarkers that may potentially replace colonoscopy in the assessment and prediction of UC disease activity in the future, which indicates a significant potential for biomarker development.</div></div>","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"39 ","pages":"Article 200298"},"PeriodicalIF":1.9,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between exposure to volatile organic compounds with obesity in adults","authors":"Runmiao Wu ,&nbsp;Lei Jia ,&nbsp;Xu Zhu ,&nbsp;Gongchang Guan ,&nbsp;Junkui Wang ,&nbsp;Rutai Hui ,&nbsp;Meijuan Ma ,&nbsp;Zhao Zhao ,&nbsp;Hui Pang ,&nbsp;Ling Zhu","doi":"10.1016/j.hnm.2024.200296","DOIUrl":"10.1016/j.hnm.2024.200296","url":null,"abstract":"<div><h3>Objective</h3><div>This study was to investigate the correlation between urine volatile organic compound (VOC) metabolites and obesity-related outcomes, including BMI, waist circumference, obesity, and abdominal obesity.</div></div><div><h3>Methods</h3><div>Data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2016 were utilized for this analysis. Linear regression and logistic regression models were employed to estimate β-coefficients or odds ratios (ORs) along with their corresponding 95 % confidence intervals (CIs). Quantile g-computation (Qgcomp) regression, a method designed to evaluate the combined effects of multiple correlated chemical exposures, was used to assess the mixed influence of VOC metabolites on obesity-related outcomes.</div></div><div><h3>Results</h3><div>A total of 4950 adults were included in this analysis. The median age of the participants was 47 (33, 60) years, with 49.3 % being male. The median BMI was 27.7 (24.2, 32.4) kg/m², and the median waist circumference was 98.0 (87.3, 109.0) cm. The prevalence of obesity and abdominal obesity was 36.8 % and 56.5 %, respectively. After adjusting for all covariates, urine VOC metabolites (including AAMA, AMCC, BMA, CYMA, DHBMA, 3HPMA, 2HPMA, MA, 2MHA, 3MHA+4MHA, MHBMA3, PGA, and HPMMA) exhibited a negative association with obesity. With the exception of BMA and DHBMA, similar results were observed regarding the association between urine VOC metabolites and the prevalence of abdominal obesity. Additionally, Qgcomp regression analysis revealed a significant negative correlation between the mixture of urine VOC metabolites and all obesity-related outcomes, with 2HPMA demonstrating the strongest influence on this negative association.</div></div><div><h3>Conclusion</h3><div>Our findings suggest a negative relationship between exposure to VOCs, as measured by urine VOC metabolite levels, and obesity in adults.</div></div>","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"39 ","pages":"Article 200296"},"PeriodicalIF":1.9,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"42 ","pages":"Article 200341"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146969397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"41 ","pages":"Article 200331"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146239616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"41 ","pages":"Article 200326"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146239624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"40 ","pages":"Article 200313"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146321925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"40 ","pages":"Article 200311"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146321926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"40 ","pages":"Article 200304"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146321931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"41 ","pages":"Article 200316"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146239619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":36125,"journal":{"name":"Human Nutrition and Metabolism","volume":"41 ","pages":"Article 200320"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146239621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}