American Journal of Clinical Nutrition最新文献

{"title":"Preoperative plasma short- and branched-chain fatty acids in relation to risk of complications after colorectal cancer surgery: a prospective cohort study","authors":"Niels Klaassen-Dekker ,&nbsp;Erwin G Zoetendal ,&nbsp;Edoardo Capuano ,&nbsp;Renate M Winkels ,&nbsp;Fränzel JB van Duijnhoven ,&nbsp;N Tjarda van Heek ,&nbsp;Flip M Kruyt ,&nbsp;Arve Ulvik ,&nbsp;Adrian McCann ,&nbsp;Per Magne Ueland ,&nbsp;Johannes HW de Wilt ,&nbsp;Ellen Kampman ,&nbsp;Dieuwertje E Kok","doi":"10.1016/j.ajcnut.2025.10.001","DOIUrl":"10.1016/j.ajcnut.2025.10.001","url":null,"abstract":"<div><h3>Background</h3><div>Emerging evidence suggests that nutritional prehabilitation reduces risk of complications after colorectal cancer (CRC) surgery. The gut microbiota and its metabolic activity potentially link preoperative diet to postoperative outcomes.</div></div><div><h3>Objective</h3><div>To investigate associations between preoperative plasma levels of microbial-derived metabolites and postoperative complications in patients with CRC.</div></div><div><h3>Methods</h3><div>We used data from a prospective cohort study among 1220 patients with nonmetastatic CRC. The short-chain fatty acids (SCFAs) acetate, propionate, butyrate, and valerate, as well as the branched-chain fatty acids (BCFAs) isovalerate, isobutyrate, and α-methylbutyrate, were measured in plasma collected at diagnosis. Prevalence ratios (PR) were calculated using regression models adjusted for age, sex, tumor location, smoking status, and physical health status.</div></div><div><h3>Results</h3><div>Acetate levels of 40.0 μmol/L were associated with a lower risk of any postoperative complications compared with the reference of 20.0 μmol/L [PR: 0.76; 95% confidence interval (CI): 0.62, 0.93]. Higher levels of propionate (per 1 μmol/L) were associated with a lower risk of any complications (PR: 0.84; 95% CI: 0.73, 0.96). Similar associations were found for acetate (per 20 μmol/L) and propionate (per 1 μmol/L) in relation to surgical complications (PR: 0.75; 95% CI: 0.60, 0.93; and PR: 0.83; 95% CI: 0.69, 1.00; respectively). No associations were found for BCFAs in relation to complications. Low (below median) total SCFA levels combined with high (above median) total BCFA levels were least favorable in terms of complication risk (PR: 1.35; 95% CI: 1.02, 1.80) when compared with a low SCFA/low BCFA profile.</div></div><div><h3>Conclusions</h3><div>Our findings suggest that microbial fermentation processes, mainly those resulting in higher SCFA levels, may be linked to postoperative recovery. These findings provide leads for future studies investigating the role of preoperative diet, especially the balance between fiber and protein intake, and microbial metabolism in relation to postoperative recovery of patients with CRC.</div><div>This study was registered at <span><span>clinicaltrials.gov</span><svg><path></path></svg></span> with registration number NCT03191110.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1579-1590"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276548","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":"Impact of comprehensive lifestyle interventions on plasma branched-chain amino acid concentrations: a randomized trial","authors":"Yu Jin Lim ,&nbsp;Rob M van Dam","doi":"10.1016/j.ajcnut.2025.10.008","DOIUrl":"10.1016/j.ajcnut.2025.10.008","url":null,"abstract":"<div><h3>Background</h3><div>Elevated plasma branched-chain amino acid (BCAA) concentrations are associated with a higher risk of type 2 diabetes and cardiovascular diseases. Lifestyle interventions have been proposed as a strategy to manage plasma BCAA concentrations, but evidence of their effectiveness is limited.</div></div><div><h3>Objectives</h3><div>We investigated the effects of comprehensive lifestyle interventions on plasma BCAA concentrations over 6 mo and associations between changes in body mass index (BMI), physical fitness, and dietary factors and plasma BCAA changes.</div></div><div><h3>Methods</h3><div>The PREMIER study was a randomized trial of the effects of behavioral lifestyle interventions. The interventions included counseling on diet, exercise, and weight loss (“Established”), a similar intervention with additional guidance to follow Dietary Approaches to Stop Hypertension (“Established plus DASH”), and an Advice-Only control group. We analyzed data from 713 male and female adult participants during the 6-mo intervention period. Data and biospecimens were obtained through the National Heart, Lung, and Blood Institute Biologic Specimen and Data Repository Information Coordinating Center repository, and plasma BCAA concentrations were measured using nuclear magnetic resonance spectroscopy. Multiple linear regression was used to assess the association between intervention groups and BCAA concentrations.</div></div><div><h3>Results</h3><div>The Established [−7.19 μmol/L; 95% confidence interval (CI): 17.45, 3.08] and Established plus DASH (−8.70 μmol/L; 95% CI: −18.95, 1.55) interventions were associated with nonsignificant decreases in BCAA concentrations compared with the control group. Changes in BMI were correlated with changes in BCAA concentrations during the trial (partial Pearson <em>r</em> = 0.24, <em>P</em> &lt; 0.001). Although changes in fitness and fiber intake were also significantly correlated with changes in BCAA concentrations, adjustment for BMI attenuated these correlations. Changes in the DASH and healthy plant-based diet indices and BCAA and protein intakes were not significantly correlated with plasma BCAA changes.</div></div><div><h3>Conclusions</h3><div>Weight loss resulting from lifestyle interventions is associated with reductions in plasma BCAA concentrations. Improvements in fitness and diet composition are not associated with changes in BCAA concentrations independent of weight loss.</div><div>This trial was registered at <span><span>clinicaltrials.gov</span><svg><path></path></svg></span> as NCT0000616.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1829-1835"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314105","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":"Obesity promotes conserved inflammatory and metabolic transcriptional programs in colon tumors: evidence from mouse models and the ColoCare Study Patient Cohort","authors":"Elaine M Glenny ,&nbsp;Tengda Lin ,&nbsp;Victoria M Bandera ,&nbsp;Babak Mirminachi ,&nbsp;Saratchandra S Khumukcham ,&nbsp;Biljana Gigic ,&nbsp;Christy A Warby ,&nbsp;Olena Aksonova ,&nbsp;Michael F Coleman ,&nbsp;Alessandro Carpanese ,&nbsp;Calista Busch ,&nbsp;Caroline Himbert ,&nbsp;Jennifer Ose ,&nbsp;David A Nix ,&nbsp;Kenneth Boucher ,&nbsp;Peter Schirmacher ,&nbsp;Ildiko Strehli ,&nbsp;Sheetal Hardikar ,&nbsp;Jessica N Cohan ,&nbsp;Jolanta Jedrzkiewicz ,&nbsp;Stephen D Hursting","doi":"10.1016/j.ajcnut.2025.09.031","DOIUrl":"10.1016/j.ajcnut.2025.09.031","url":null,"abstract":"<div><h3>Background</h3><div>The global prevalence of obesity, an established risk and progression factor for colon cancer, is high and rising. Unfortunately, the mechanisms underlying the obesity–colon cancer association are incompletely understood, and new molecular targets enabling more effective intervention strategies to break the obesity–colon cancer link are urgently needed.</div></div><div><h3>Objectives</h3><div>This study integrated RNA sequencing data from mouse and human colon tumor samples, as well as human adipose samples, to rigorously establish obesity-associated transcriptomic signatures conserved between the 2 species.</div></div><div><h3>Methods</h3><div>We employed a mouse colon cancer model with colonoscopy-guided orthotopic transplantation of syngeneic <em>Apc</em>^{<em>null</em>} <em>Kras</em>^{<em>G12D/+</em>} <em>Trp53</em>^{<em>null</em>} <em>Smad4</em>^{<em>null</em>} <em>tdTomato</em> colon tumor organoids. Epithelial cell adhesion molecule (EpCAM)-positive cells from murine tumors and 193 human colon tumors and 188 human mesenteric adipose tissue samples from the prospective ColoCare Study cohort underwent transcriptomic analyses.</div></div><div><h3>Results</h3><div>Diet-induced obesity reduced survival in the mouse model of colon cancer. Integrated transcriptomic analyses of EpCAM-positive murine tumor cells and bulk human tumors revealed obesity-driven enrichment of inflammation and metabolic pathways, including the upregulation of genes involved in innate immune sensing (<em>TLR2</em>, <em>MYD88</em>, and <em>IRF4</em>) and tumor microenvironment remodeling (<em>MMP9</em>, <em>TGFB1</em>, and <em>SERPINE1</em>). Analysis of paired mesenteric visceral adipose tissue and tumor samples from the study patients (63 ± 13 y, 48% female, body mass index 28.9 ± 6.0 kg/m²) indicated that obesity was associated with enriched inflammatory signaling pathways through unique adipose ligand–tumor receptor interactions.</div></div><div><h3>Conclusions</h3><div>These results establish obesity-associated adipose tissue dysregulation as a key intertissue modulator of biology, with concordant cross-species effects on tumor cell–intrinsic inflammatory and metabolic programs.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1545-1556"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145150540","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 “Impact of dietary cholesterol from eggs and saturated fat on LDL cholesterol levels: a randomized cross-over study” Am J Clin Nutr 122 (2025) 83–91","authors":"Sharayah Carter ,&nbsp;Alison M Hill ,&nbsp;Catherine Yandell ,&nbsp;Lisa Wood ,&nbsp;Alison M Coates ,&nbsp;Jonathan D Buckley","doi":"10.1016/j.ajcnut.2025.10.009","DOIUrl":"10.1016/j.ajcnut.2025.10.009","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Page 1873"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145370446","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":"Customized multimodal Diabot-GPT-4o enhances accuracy of image-based dietary assessments in dietetic trainees in Taiwan: validation against weighed food records","authors":"Yu Jie Chen ,&nbsp;Chun-Chao Chang ,&nbsp;Yen Nhi Hoang ,&nbsp;Annie W Lin ,&nbsp;Wen-Ling Lin ,&nbsp;Cheng-Yu Lin ,&nbsp;Ellyn Patricia ,&nbsp;Janice Clarisa Tissadharma ,&nbsp;Jovan Kuanca ,&nbsp;Natasya Nobelta ,&nbsp;Kimberly Alecia Theo ,&nbsp;Dang Khanh Ngan Ho ,&nbsp;Pin-Hui Wei ,&nbsp;Jung-Su Chang","doi":"10.1016/j.ajcnut.2025.10.013","DOIUrl":"10.1016/j.ajcnut.2025.10.013","url":null,"abstract":"<div><h3>Background</h3><div>Automated image-based dietary assessments (IBDAs) using multimodal artificial intelligence (AI) chatbots show strong potential. However, sources of error at the human–AI interface in real-world use remain unclear.</div></div><div><h3>Objectives</h3><div>In this study, we validated a GPT-4o-powered chatbot for automated IBDAs and identified key sources of error in free-living settings.</div></div><div><h3>Methods</h3><div>In total, 714 food images were collected from 3-d weighed food records (WFRs) across 171 d from 57 young adults. Images were analyzed using 4 AI configurations: Diabot (DB), DBFN (customized GPT-4o), 4o, and 4oFN (noncustomized), where “FN” indicates inclusion of the food name input. Portion sizes and nutrient estimates were compared with WFRs using Bland–Altman plots with equivalence testing at ±10%, ±15%, and ±20% bounds.</div></div><div><h3>Results</h3><div>Using images alone, DB recognized 74% of food items versus 59% for 4o. All AI configurations provided accurate estimates of portion sizes (±10%–15%, coefficient of variation [CV]: 13%), energy (±10%–20%, CV: 14%), and carbohydrates (CHOs; ±15%–20%, CV: 15%) but showed less consistency for fats (±10%–22%, CV: 24%) and proteins (±10%–&gt;20.2%, CV: 18%). The custom DBFN outperformed 4oFN, achieving higher accuracy across more nutrients within the ±10% (weight, energy, fats, saturated fats, potassium, and magnesium), ±15% (proteins and sodium), and ±20% (CHOs and calcium) bounds and achieved the highest agreement with WFRs (Spearman’s ρ = 0.863–0.662; Lin’s concordance correlation coefficient = 0.874–0.540). Common errors at the human–AI interface included inaccurate portion-size estimates, obscured food visibility in images, poorly constructed prompts, omission or intrusion errors, and system-specific limitations, such as processing overload and configuration inconsistencies.</div></div><div><h3>Conclusions</h3><div>Customized AI chatbots improved automated IBDAs, yet accuracy depends on clear images for food visibility and portion-size fidelity. Standardized AI-input procedures (FN, cooking state, prompt structure, and configuration) and expert oversight to detect and correct AI hallucinations (fabricated items, units, or quantities) remain essential for reliable, interpretable estimates.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1836-1849"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145370432","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":"Reply to X Guo and P Yao","authors":"Lixia Ge","doi":"10.1016/j.ajcnut.2025.09.048","DOIUrl":"10.1016/j.ajcnut.2025.09.048","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1871-1872"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145394993","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":"Discharge criteria for treatment of wasting: thinking beyond anthropometry","authors":"Urmimala Maiti ,&nbsp;Ranadip Chowdhury","doi":"10.1016/j.ajcnut.2025.09.044","DOIUrl":"10.1016/j.ajcnut.2025.09.044","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1541-1542"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625418","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":"Spot urine sampling yields reliable measurements for urine caffeine and caffeine metabolites over short-to-intermediate timeframes in a regional cohort of 50 United States adults","authors":"Michael E Rybak ,&nbsp;Maya R Sternberg ,&nbsp;Patrick W Simon ,&nbsp;Marsha K Morgan","doi":"10.1016/j.ajcnut.2025.09.022","DOIUrl":"10.1016/j.ajcnut.2025.09.022","url":null,"abstract":"<div><h3>Background</h3><div>The temporal variability of caffeine and caffeine metabolite concentrations in spot urine samples is unknown. Understanding this variability in both unadjusted and flow-adjusted measurements is essential to assess the suitability of spot urine sampling for measuring these compounds and estimate the number of samples required for reliable measurements.</div></div><div><h3>Objectives</h3><div>This study aimed to examine the temporal variability of unadjusted and flow-adjusted concentrations of caffeine and its metabolites in spot urine samples, both within and between individuals, over short-to-intermediate timeframes.</div></div><div><h3>Methods</h3><div>We measured urine caffeine and 14 caffeine metabolite concentrations in 1749 spot samples collected from a cohort of 50 adults over a 6-wk period from the Pilot Study to Estimate Human Exposures to Pyrethroids using an Exposure Reconstruction Approach. We calculated between- and within-person variances, 95%-fold ranges, and intraclass correlation coefficients (ICCs) for unadjusted, flow rate-, creatinine-, and specific gravity-adjusted analyte concentrations over timeframes of 24 h, 1 wk, and 6 wk. Additionally, we estimated the number of spot urine samples needed for reliable measurements (ICC ≥ 0.80).</div></div><div><h3>Results</h3><div>We found that ICCs were the highest in the 24-h timeframe, with 69% of analyte × urine flow adjustment combinations yielding median ICCs ≥0.80 (range: 0.62–0.94). ICCs decreased as the timeframe increased (1-wk median ICC range: 0.49–0.84; 6-wk ICC range: 0.37–0.76). Caffeine showed no ICC improvement with urine flow adjustments, whereas dimethylxanthines showed mixed results. Later-forming metabolites consistently showed ICC improvement across all types of urine flow adjustments.</div></div><div><h3>Conclusions</h3><div>Overall, 1–2 spot urine samples were sufficient to obtain a reliable concentration estimate (ICC ≥ 0.80) for caffeine and most caffeine metabolites during 24-h or 1-wk sampling timeframes with appropriate urine flow adjustment, with 2–3 spot urine samples being sufficient for sampling over 6 wk.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1713-1724"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102656","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":"Development and validation of a brief Nutrition Security Screener (NSS) for clinical and public health settings","authors":"Hope C Craig ,&nbsp;Julia Reedy Sharib ,&nbsp;Ronit Ridberg ,&nbsp;Julia Caldwell ,&nbsp;Dipa Shah-Patel ,&nbsp;Kelly Warner ,&nbsp;Kayla de la Haye ,&nbsp;Michelle Livings ,&nbsp;Meagan C Brown ,&nbsp;Ceping Chao ,&nbsp;Mina Habib ,&nbsp;Kara Cushing-Haugen ,&nbsp;Claudia Nau ,&nbsp;Pamela Schwartz ,&nbsp;Dariush Mozaffarian","doi":"10.1016/j.ajcnut.2025.08.017","DOIUrl":"10.1016/j.ajcnut.2025.08.017","url":null,"abstract":"<div><h3>Background</h3><div>Nutrition security encompasses access, availability, and affordability of foods that support well-being and prevent and manage diet-related conditions. Although food security is widely studied, validated nutrition security measures are not yet widespread, highlighting a critical gap in clinical and public health research and practice.</div></div><div><h3>Objectives</h3><div>This study aims to validate a brief Nutrition Security Screener (NSS) in the United States.</div></div><div><h3>Methods</h3><div>The NSS was refined in pilot studies and implemented in 5 diverse populations, totaling 20,523 adults. Two items assessed the presence and severity of nutrition insecurity (NI) and 13 corresponding barriers. Multivariable logistic regression models and pooled analyses examined distributions and associations of NI with food insecurity (FI), sociodemographic characteristics, and health.</div></div><div><h3>Results</h3><div>Across county, state, and national levels, NI prevalence ranged 18%–44% and varied by sociodemographic characteristics. About 60% of young adults reported NI, compared with 13% of older adults. NI was most prevalent among Hispanic/Latinx (26%–62%) compared with White (10%–40%) adults and those with the lowest (49%–65%) compared with the highest (3%–13%) income. NI only moderately correlated with FI measured by The Hunger Vital Sign (<em>r</em> = 0.55–0.63) and 6-item United States Department of Agriculture Module (<em>r</em> = 0.38–0.46), with discordance in 10%–28% of respondents. Adjusting for sociodemographic characteristics and FI, NI was independently associated with diabetes {odds ratio (OR) = 1.46 [95% confidence interval (CI): 1.19, 1.79]}, obesity [OR = 1.42 (1.19, 1.70)], hypertension [OR = 1.34 (1.13, 1.59)], hypercholesterolemia [OR = 1.34 (1.11, 1.61)], heart disease [OR = 1.39 (1.05, 1.85)], and stroke [OR = 2.03 (1.08, 3.83)], but not cancer [OR = 0.98 (0.62, 1.54)]. Common barriers were expense (75%–81%), cultural or traditional foods being unhealthy (47%–75%), and limited access to healthy choices (47%–53%). Affirming more barriers was associated with higher odds of all health outcomes except cancer.</div></div><div><h3>Conclusions</h3><div>A brief NSS enables assessment of NI prevalence and barriers to healthy eating in diverse populations, and is independently associated with diet-related disease, informing clinical, public health, and policy efforts to screen for and address NI.</div></div>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1689-1700"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625443","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":"Does higher protein intake influence risk of child obesity?","authors":"Thorkild IA Sørensen ,&nbsp;Kim F Michaelsen","doi":"10.1016/j.ajcnut.2025.10.002","DOIUrl":"10.1016/j.ajcnut.2025.10.002","url":null,"abstract":"","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":"122 6","pages":"Pages 1543-1544"},"PeriodicalIF":6.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625419","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}