American Journal of Clinical Nutrition最新文献

{"title":"Metabolic plasticity of the gut microbiome in response to diets differing in glycemic load in a randomized, crossover, controlled feeding study","authors":"Meredith AJ Hullar ,&nbsp;Orsalem Kahsai ,&nbsp;Keith R Curtis ,&nbsp;Sandi L Navarro ,&nbsp;Yuzheng Zhang ,&nbsp;Timothy W Randolph ,&nbsp;Lisa Levy ,&nbsp;Ali Shojaie ,&nbsp;Mario Kratz ,&nbsp;Marian L Neuhouser ,&nbsp;Paul D Lampe ,&nbsp;Daniel Raftery ,&nbsp;Johanna W Lampe","doi":"10.1016/j.ajcnut.2025.06.026","DOIUrl":"10.1016/j.ajcnut.2025.06.026","url":null,"abstract":"<div><h3>Background</h3><div>Dietary patterns characterized by low glycemic, minimally processed plant foods are associated with lower risk of several chronic diseases.</div></div><div><h3>Objectives</h3><div>Evaluate the effects of a low glycemic load (LGL) compared with a high glycemic load (HGL) dietary pattern on stool bacterial community structure and metabolism.</div></div><div><h3>Methods</h3><div>Participants in this crossover-controlled feeding study were healthy men and women (<em>n</em> = 69). We identified genera, species, and genes and transcripts of metabolic pathways and bacterial enzymes using 16S rRNA gene, metagenomic and metatranscriptomic sequencing, and bioinformatic analysis.</div></div><div><h3>Results</h3><div>Overall community structure measured by alpha and beta diversity was not significantly different across the diets, although diet did significantly increase the abundance of 13 of 161 genera (<em>P</em>_adj &lt; 0.05) and 5 species in the LGL diet and 7 species in the HGL diet. Gene expression in the hexitol fermentation pathway (<em>β</em> = −1.15; SE = 0.24; 95% confidence interval [CI]: −1.63, −0.67; <em>P</em>_adj = 0.002) was significantly higher in the HGL diet, whereas expression in the L-lysine biosynthesis pathway (<em>β</em> = 0.20; SE = 0.05; 95% CI: 0.09, 0.30; <em>P</em>_adj = 0.03) was enriched in the LGL diet. The beta diversity of expressed carbohydrate-active enzymes (CAZymes) was significantly different between the diets (MiRKAT, <em>P</em> &lt; 0.001). CAZymes enriched in the HGL diet reflected dietary additives, whereas CAZymes enriched in the LGL diet reflected diverse phytochemical intake. There was a significant interaction between homeostasis model assessment of insulin resistance (HOMA-IR) and the coenzyme A biosynthesis I pathway involved in bacterial fatty acid biosynthesis (<em>P</em>_adj = 0.035), which was positive in the HGL diet (b = 0.20; SE = 0.09; 95% CI: 0.02, 0.39) and negative in the LGL diet (<em>β</em> = −0.23; SE = 0.09; 95% CI: −0.40, −0.06).</div></div><div><h3>Conclusions</h3><div>In healthy humans, diet impacts microbial metabolism and enzymatic activity but not the overall diversity of the gut microbiome. This emphasizes the relevance of dietary components in activating expression of specific bacterial genes and their impact on host metabolism.</div><div>This trial was registered at <span><span>clinicaltrials.gov</span><svg><path></path></svg></span> as NCT00622661.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 780-792"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144576878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In pursuit of perfection: a small but important refinement of the isotopic measurement of human milk output","authors":"Anura V Kurpad","doi":"10.1016/j.ajcnut.2025.07.008","DOIUrl":"10.1016/j.ajcnut.2025.07.008","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 659-660"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revised analyses do not provide compelling evidence of any benefit of vitamin D","authors":"Fergus Hamilton ,&nbsp;George Davey Smith","doi":"10.1016/j.ajcnut.2025.01.034","DOIUrl":"10.1016/j.ajcnut.2025.01.034","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 890-891"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144926584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fried food consumption-related gut microbiota is associated with obesity, fat distribution, and cardiometabolic diseases: results from 2 large longitudinal cohorts with sibling comparison analyses","authors":"Yiting Duan ,&nbsp;Yuwei Li ,&nbsp;Chengquan Xu ,&nbsp;Wenjie Wang ,&nbsp;Xiaoyan Wang ,&nbsp;Weifang Zheng ,&nbsp;Julianna C Hsing ,&nbsp;Joyce Wu ,&nbsp;April Myers ,&nbsp;Ann W Hsing ,&nbsp;Wei He ,&nbsp;Shankuan Zhu","doi":"10.1016/j.ajcnut.2025.06.025","DOIUrl":"10.1016/j.ajcnut.2025.06.025","url":null,"abstract":"<div><h3>Background</h3><div>In prospective cohort studies, the relationship between fried food consumption, gut microbiota, obesity, and cardiometabolic diseases remains unknown.</div></div><div><h3>Objectives</h3><div>We aimed to explore associations of fried food consumption with gut microbiota and associations of fried food consumption-related microbiota with obesity and related disorders.</div></div><div><h3>Methods</h3><div>We analyzed 6637 individuals from the Wellness Living Laboratory China cohort (baseline 2016–2019) and 3466 from the Lanxi cohort (baseline 2017–2019), with follow-up until 24 June, 2024. Face-to-face interviews provided data on fried food consumption and other covariates. Analysis of 16S ribosomal ribonucleic acid data from fecal samples collected at baseline identified microbial genera. Body composition was evaluated using dual-energy x-ray absorptiometry. The microbiome multivariable associations with linear models helped identify genera associated with the frequency of fried food consumption in the cross-sectional analysis. Cox regression models examined the relationship of fried food consumption-related microbiota with cardiometabolic diseases during follow-up. Sibling comparison analyses were used to control for unmeasured familial confounders using the between-within model.</div></div><div><h3>Results</h3><div>Twenty-five microbial genera were significantly associated with fried food consumption frequency. Using these genera, we constructed a fried food consumption-related microbiota index. Meta-analysis of both cohorts found a positive relationship of this index with overall adiposity measures [body mass index (kg/m²)] [β coefficient: 0.26; 95% confidence interval (CI): 0.19, 0.32] and central fat distribution parameters [including android-gynoid fat ratio (β: 1.48; 95% CI: 1.14, 1.82)]. Longitudinal analyses indicated that a higher fried food consumption-related microbiota index was linked to a higher risk of developing cardiometabolic diseases, with adjusted hazard ratios (95% CI) of 1.16 (1.07, 1.27) for diabetes and 1.16 (1.06, 1.26) for major adverse cardiovascular events. Sibling comparison analyses yielded similar results.</div></div><div><h3>Conclusions</h3><div>Fried food consumption-related microbiome is associated with a higher risk of obesity, central fat distribution, and cardiometabolic diseases, emphasizing the importance of dietary choices in the management and prevention of chronic diseases.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 733-743"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Efficacy of rice bran extract for alleviating depressive symptoms in adults: a randomized, double-blind, placebo-controlled trial” Am J Clin Nutr. 2025: 122: 112-121","authors":"Sung-Young Huh ,&nbsp;Ye Li Lee ,&nbsp;Su Hui Kim ,&nbsp;Sang Yeoup Lee","doi":"10.1016/j.ajcnut.2025.07.012","DOIUrl":"10.1016/j.ajcnut.2025.07.012","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Page 898"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Global Leadership Initiative on Malnutrition (GLIM)","authors":"Gordon L Jensen ,&nbsp;Charlene Compher","doi":"10.1016/j.ajcnut.2025.06.028","DOIUrl":"10.1016/j.ajcnut.2025.06.028","url":null,"abstract":"<div><div>A lack of global consensus on diagnostic criteria for malnutrition in adults in diverse health care settings limits our ability to share meaningful data and compare promising interventions. The Global Leadership Initiative on Malnutrition (GLIM) is a collaborative global effort to address this shortcoming. A current understanding of the interplay between malnutrition, disease, and inflammation was used to create a simple diagnostic framework comprising etiologic and phenotypic criteria. It was specifically designed to accommodate healthcare settings where skilled nutrition expertise, laboratory assessments, and high technology body composition methodologies may not be readily available. The purpose of this article is to present controversies, limitations, and research gaps that have been recognized through our ongoing review of GLIM-related research literature and procedures. We share these issues and the ongoing efforts of GLIM working groups to address them. The use of GLIM malnutrition criteria that closely resemble those found in other validated tools raises the opportunity to further standardize malnutrition language and severity cutoffs used to characterize malnutrition criteria.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 712-714"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dietary diversity as a modifier of the effect of supplementation with multiple micronutrients during pregnancy on low birth weight in a randomized controlled trial in Bangladesh","authors":"Mary de Boer ,&nbsp;Andrew L Thorne-Lyman ,&nbsp;Abu Ahmed Shamim ,&nbsp;Lee S-F Wu ,&nbsp;Saijuddin Shaikh ,&nbsp;Hasmot Ali ,&nbsp;Keith P West ,&nbsp;Parul Christian","doi":"10.1016/j.ajcnut.2025.07.007","DOIUrl":"10.1016/j.ajcnut.2025.07.007","url":null,"abstract":"<div><h3>Background</h3><div>Meta-analysis of trials of multiple micronutrient supplements (MMS) compared with iron-folic acid (IFA) suggests an overall benefit of 12% on low birth weight (LBW).</div></div><div><h3>Objectives</h3><div>Building on prior work showing that MMS is more effective in anemic and higher body mass index females; this paper explores whether dietary quality modifies the effect of MMS on birth weight.</div></div><div><h3>Methods</h3><div>A 7-day food frequency questionnaire was administered in late pregnancy to 19,160 pregnant participants in the JiVitA-3 cluster-randomized controlled trial of MMS compared with IFA supplementation in Bangladesh. A 10-item dietary diversity score (DDS) was created by summing the number of food groups consumed ≥4 times per week. Risk ratios (RRs) and 95% confidence intervals (CIs) for the effect of MMS compared with IFA on LBW were estimated by DDS. The interaction between DDS and MMS was tested using a generalized estimating equations log-binomial regression model to account for the cluster randomization. Point estimates and 95% CI for the effect of MMS on LBW were estimated at each DDS. Models were adjusted for confounders. We used <em>P &lt;</em> 0.1 to determine the statistical significance of the interaction.</div></div><div><h3>Results</h3><div>The median DDS was 3 (interquartile range: 2, 4), and 18.6% of pregnant women had a score ≥ 5. The fully adjusted protective effect of MMS on LBW was inversely associated with dietary diversity [MMS×DDS RR: 1.02 (95% CI: 1.00, 1.04), <em>P</em>-interaction = 0.05]. The effect was greatest at the lowest DDS [DDS= 1, RR LBW: 0.86 (0.81, 0.91)] and decreased at higher scores [DDS = 7, RR: 0.92 (0.84, 1.00)].</div></div><div><h3>Conclusions</h3><div>In rural Bangladesh, where maternal dietary diversity was generally low, MMS (compared with IFA) supplementation had the strongest effect on reducing low birth weight among pregnant females with the least diverse diet, possibly reflecting the additional benefit of supplementation in this vulnerable group.</div><div>This trial was registered at <span><span>clinicaltrials.gov</span><svg><path></path></svg></span> as NCT00860470.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 762-769"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The 2018 World Cancer Research Fund/American Institute for Cancer Research Score and Cancer Risk: results from the diabetes prevention program outcomes study","authors":"Ashley H Tjaden ,&nbsp;Audrey A Goldbaum ,&nbsp;Sharon L Edelstein ,&nbsp;Brandy M Heckman- Stoddard ,&nbsp;Jill Reedy ,&nbsp;William H Herman ,&nbsp;Mary Hoskin ,&nbsp;William C Knowler ,&nbsp;Mathias Schlögl ,&nbsp;Karla A Temple ,&nbsp;Elizabeth M Venditti ,&nbsp;Karol Watson ,&nbsp;Marinella Temprosa ,&nbsp;Marissa M Shams-White ,&nbsp;the DPP Research Group","doi":"10.1016/j.ajcnut.2025.07.011","DOIUrl":"10.1016/j.ajcnut.2025.07.011","url":null,"abstract":"<div><h3>Background</h3><div>Modifying lifestyle factors may reduce the incidence of obesity, diabetes, and cancer.</div></div><div><h3>Objectives</h3><div>We examined how alignment with the 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) Cancer Prevention Recommendations using the 2018 WCRF/AICR score was associated with incident lifestyle-related cancer in adults with prediabetes in the Diabetes Prevention Program (DPP, 1996–2001) and DPP Outcomes Study (DPPOS, 2002–2020), an observational follow-up of a randomized clinical trial.</div></div><div><h3>Methods</h3><div>Participants were randomly assigned to lifestyle, metformin, or placebo interventions (mean: 3 y) and followed for an additional 19 y. The 2018 WCRF/AICR score (0–7 points; higher score, better alignment) was calculated from body weight, physical activity, diet, and alcohol components at 0, 1, 5, 6, 9, and 15 y after randomization. Incident cancer was based on the 2018 WCRF/AICR 3rd Expert Report (18 cancers associated with lifestyle). Adjusted Cox proportional hazard models estimated associations between the score (baseline [0], change from 0 to 1 y, time dependent) and lifestyle-related cancer.</div></div><div><h3>Results</h3><div>Participants’ (<em>N</em> = 3000) mean baseline WCRF/AICR score was 3.2 (SD: 1.1). There were 403 incident lifestyle-related cancer cases. Scores improved after 1 and 15 y (mean increase = 0.43 and 0.27 points, respectively, both <em>P</em> &lt; 0.001). The baseline score was not associated with cancer risk. However, a 1-unit score improvement from 0 to 1 y and time-dependent scores were significantly associated with a 14% (hazard ratio [HR]: 0.86; 95% confidence interval [95% CI]: 0.76, 0.97) and 9% (HR: 0.91; 95% CI: 0.83, 0.997) lower risk, respectively, with no effect modification by intervention group or diabetes status. In exploratory by-component analyses, no single component was associated with risk.</div></div><div><h3>Conclusions</h3><div>Alignment with WCRF/AICR recommendations may lower cancer risk in adults with prediabetes and type 2 diabetes, highlighting the importance of considering lifestyle factors for cancer prevention.</div></div><div><h3>Trial registration number</h3><div>Diabetes Prevention Program, NCT00004992; Diabetes Prevention Program Outcomes Study, NCT00038727.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 715-723"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “Liraglutide after diet-induced weight loss for pain and weight control in knee osteoarthritis: a randomized controlled trial” Am J Clin Nutr. 2021: 113: 314-323","authors":"Henrik Gudbergsen ,&nbsp;Anders Overgaard ,&nbsp;Marius Henriksen ,&nbsp;Eva Ejlersen Wæhrens ,&nbsp;Henning Bliddal ,&nbsp;Robin Christensen ,&nbsp;Sabrina Mai Nielsen ,&nbsp;Mikael Boesen ,&nbsp;Filip Krag Knop ,&nbsp;Arne Astrup ,&nbsp;Marianne Uggen Rasmussen ,&nbsp;Cecilie Bartholdy ,&nbsp;Cecilie Laubjerg Daugaard ,&nbsp;Karen Ellegaard ,&nbsp;Berit Lilienthal Heitmann ,&nbsp;Else Marie Bartels ,&nbsp;Bente Danneskiold-Samsøe ,&nbsp;Lars Erik Kristensen","doi":"10.1016/j.ajcnut.2025.07.013","DOIUrl":"10.1016/j.ajcnut.2025.07.013","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Page 901"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empirical dietary index for lower urate concentrations and risk of gout: evidence from cohort studies","authors":"Xiaowen Wang ,&nbsp;Sharan K Rai ,&nbsp;Wangjian Zhang ,&nbsp;Molin Wang ,&nbsp;Binkai Liu ,&nbsp;Yang Hu ,&nbsp;Siyue Wang ,&nbsp;Han Han ,&nbsp;Yuantao Hao ,&nbsp;Hyon K Choi ,&nbsp;Qi Sun","doi":"10.1016/j.ajcnut.2025.06.021","DOIUrl":"10.1016/j.ajcnut.2025.06.021","url":null,"abstract":"<div><h3>Background</h3><div>High blood urate concentrations are a causal risk factor for the development of gout. There is no dietary pattern that specifically targets on lowering plasma urate concentrations or gout risk.</div></div><div><h3>Objectives</h3><div>This study aimed to derive a dietary pattern that predicts lower plasma urate concentrations and to examine this diet in relation to the risk of gout and related cardiometabolic conditions, including hypertension, coronary artery disease (CAD), stroke, and type 2 diabetes (T2D).</div></div><div><h3>Methods</h3><div>An <em>E</em>mpirical <em>D</em>ietary <em>I</em>ndex for <em>N</em>ormo-<em>U</em>ricemia (EDINU) was developed using 7-d diet records and plasma urate concentrations in the Lifestyle Validation Study (LVS) and prospective associations between the EDINU and disease risks were assessed using multivariable Cox regression in the Nurses' Health Study (NHS) and Health Professionals Follow-up Study (HPFS), using prospective cohort data. Replications were conducted in National Health and Nutrition Examination Survey (NHANES) and UK Biobank.</div></div><div><h3>Results</h3><div>The EDINU positively ranks low-fat milk, blueberries, grapes, and cheese as negative predictors of urate and negatively ranks mixed vegetables, liquor, red meat, liver, artificially sweetened beverages, tomato products, wine, and salad dressing as positive predictors. The EDINU showed significant correlations with plasma urate concentrations in both discovery and replication studies (Spearman correlation of –0.23 in LVS or –0.33 in NHANES). Higher EDINU scores were associated with lower gout risk in 3 independent cohort studies with a hazard ratio, comparing extreme quintiles, of 0.48 (95% confidence interval: 0.42, 0.55) in the NHS/HPFS or 0.65 (0.48, 0.88) in UK Biobank. The EDINU was inversely associated with a lower risk of hypertension, stroke, and T2D, but not CAD, in the NHS/HPFS.</div></div><div><h3>Conclusions</h3><div>A replicated empirical index predicting lower plasma urate is associated with significantly lower risks of gout and related cardiometabolic conditions. Consuming such a diet with lower uricemic potentials could be a novel, promising approach to preventing gout.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 3","pages":"Pages 793-802"},"PeriodicalIF":6.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144555642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}