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. The strongest locus which associated with type 2 diabetes (T2D) by the common variant rs7903146 is the transcription factor 7-like 2 gene (). We aimed to quantify the interaction of diet/lifestyle interventions and the genetic effect of rs7903146 on glycemic traits, body weight, or waist circumference in overweight or obese adults in several randomized controlled trials (RCTs).. From October 2016 to May 2018, a large collaborative analysis was performed by pooling individual-participant data from 7 RCTs. These RCTs reported changes in glycemic control and adiposity of the variant rs7903146 after dietary/lifestyle-related interventions in overweight or obese adults. Gene treatment interaction models which used the genetic effect encoded by the allele dose and common covariates were applicable to individual participant data in all studies.. In the joint analysis, a total of 7 eligible RCTs were included (). Importantly, we observed a significant effect modification of diet/lifestyle-related interventions on the variant rs7903146 and changes in fasting glucose. Compared with the control group, diet/lifestyle interventions were related to lower fasting glucose by -3.06 (95% CI, -5.77 to -0.36) mg/dL (test for heterogeneity and overall effect: , ; , ) per one copy of the T risk allele. Furthermore, regardless of genetic risk, diet/lifestyle interventions were associated with lower waist circumference. However, there was no significant change for diet/lifestyle interventions in other glycemic control and adiposity traits per one copy of risk allele.. Our findings suggest that carrying the T risk allele may have a modestly greater benefit for specific diet/lifestyle interventions to improve the control of fasting glucose in overweight or obese adults.
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http://dx.doi.org/10.34133/2021/9897048 | DOI Listing |
J Nutr
September 2025
School of Medicine and Allied Health Sciences, University of The Gambia, Banjul, The Gambia; Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, Shandong 250
Background: Red and processed meat consumption is extensively linked to chronic disease risk in observational studies, with robust meta-analyses demonstrating significant positive associations for colorectal, breast, endometrial, and lung cancers, type 2 diabetes (T2DM), cardiovascular disease (CVD), and all-cause mortality. Dose-response relationships indicate elevated risks even at moderate intakes. Moreover, processed meats consistently show stronger detrimental effects than unprocessed red meats.
View Article and Find Full Text PDFBMC Endocr Disord
September 2025
Nutrition and Metabolic Diseases Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Background: Polycystic ovary syndrome (PCOS) is a common metabolic and endocrine disorder affecting women of reproductive age. Chronic low-grade inflammation is implicated in its pathogenesis, with diet and lifestyle playing pivotal roles. The Dietary Inflammatory Index (DII), Empirical Dietary Inflammatory Pattern (EDIP), and Dietary and Lifestyle Inflammation Scores (DLIS) are distinct indices developed to assess systemic inflammation.
View Article and Find Full Text PDFMicrobiologyopen
August 2025
School of Science, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Subang Jaya, Selangor, Malaysia.
Dysbiosis is the imbalance of bacterial composition, which would otherwise change the human host's metabolic activities and usual microbiota distribution. The outcomes would be as clear as day: losing beneficial bacteria in exchange for the overgrowth of potentially pathogenic bacteria, leading to diseases. It is crucial to unravel the dynamic roles of bacteria in maintaining human health to prevent and alleviate the said dysbiosis.
View Article and Find Full Text PDFFront Nutr
July 2025
Department of Public Health, College of Health Sciences, Abu Dhabi University, Abu Dhabi, United Arab Emirates.
Background: Obesity and underweight are increasingly common among young adult women, often resulting from complex interactions between diet, lifestyle, and socioeconomic factors. This study addresses that gap by applying machine learning to a wide range of behavioral, dietary, and demographic data. The main research question asks: What are the key factors influencing weight status among female university students, and how accurately can machine learning models identify them? We hypothesize that different factors are significantly associated with underweight, overweight, and obesity, and that machine learning can reliably detect these patterns.
View Article and Find Full Text PDFJ Voice
July 2025
Department of Surgery, Faculty of Medicine, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; Department of Otolaryngology - Head and Neck Surgery, Foch Hospital, School of Medicine, UFR Simone Veil, Université Versailles Saint-Quentin-en-Yvelin
Objective: To review the current literature dedicated to the voice quality changes throughout laryngopharyngeal reflux disease (LPRD) treatment.
Methods: Two independent investigators conducted a literature search for studies investigating the voice quality changes after treatment in LPRD patients through PubMED, Scopus, BioMed Central, Biological Abstracts, and Cochrane Library databases according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statements.
Results: Twenty-seven studies (1470 patients, 48.