The American Journal of Clinical Nutrition

The modern Western diet (MWD) provides high linoleic acid (LA) exposure, typically contributing 6-9% of total caloric intake. These high LA levels have fueled a longstanding debate regarding whether this dietary pattern confers benefit or risk. Importantly, LA intake is disproportionately elevated among lower socioeconomic populations due to greater reliance on industrial seed oils and ultra-processed foods. Despite decades of research, controlled dietary intervention studies directly evaluating the biological consequences of varying LA exposure remain limited. The current randomized, double-blind intervention compared the effects of a 12-week Low LA diet (2.5% energy) versus a High LA diet (10.0% energy) in healthy adults. Primary outcomes included plasma highly unsaturated fatty acid (HUFA) concentrations and ex vivo zymosan-stimulated whole-blood oxylipin generation. Fifty- two participants completed the intervention. High LA exposure resulted in a marked reduction in plasma n-3 eicosapentaenoic acid (EPA) concentrations compared with the LowLA arm. In contrast, levels of arachidonic acid (ARA), dihomo-gamma-linolenic acid (DGLA) and docosahexaenoic acid (DHA) did not differ by dietary LA exposure. Analysis of oxylipin species revealed that levels of EPA-derived relative to ARA-derived mediators were significantly reduced in the High LA arm. These findings reveal that higher dietary LA selectively suppresses EPA pools and EPA-derived oxylipins without altering ARA, shifting the lipid mediator balance toward a more n-6-dominant profile.

Background: Diet is a modifiable risk factor for cardiometabolic disease, yet establishing causality remains challenging. Mendelian randomisation (MR) leverages genetic variants as instrumental variables (IVs) to enable causal inference. Method: Using two-sample MR, we assessed the causal effects of four principal component-derived dietary patterns (DPs) - Unhealthy, Healthy, Meat-based, Pescatarian - on twelve cardiometabolic outcomes: body mass index, coronary artery disease, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, triglycerides, systolic blood pressure, diastolic blood pressure, type 2 diabetes, fasting glucose and insulin, and glycated haemoglobin. Two sets of IVs were employed: conventional genome-wide significant variants associated with each DP, rigorously filtered for pleiotropy and directionality; and biologically informed variants in chemosensory receptor genes, given the role of taste and smell perception in shaping food choices. Results: Using conventional IVs, the Pescatarian DP reduced fasting insulin ({beta}IVW = -0.10 pmolL-1 per SD increase in Pescatarian DP score, 95% Confidence interval [CI] [-0.15, -0.04]; P = 1.19x10-3), which survived multiple sensitivity analyses. Associations between the Unhealthy DP and elevated blood pressure and glycated haemoglobin were likely undermined by heterogeneity and pleiotropy, with insufficient IVs for robust sensitivity testing. Chemosensory receptors yielded null findings, reflecting insufficient power. Conclusion: Rigorously filtered conventional IVs supported the causal nature of well-established diet-disease relationships, demonstrating MR's utility in strengthening causal inference in nutritional epidemiology. Chemosensory IVs demonstrated limited utility for DPs, likely reflecting the heterogeneous and complex sensory profiles of overall diets. Future efforts should consider using guideline-based dietary scores to facilitate translation of findings.

Introduction Acute malnutrition in children aged 6-23 months remains critical in Tigray, Ethiopia, where global acute malnutrition (GAM) rates have reached emergency levels. Small-quantity lipid-based nutrient supplements (SQ-LNS) show promise for prevention, but evidence from post-conflict settings is limited. Objective This study evaluated SQ-LNS effectiveness in preventing acute malnutrition and rightward shifting in the distribution of weight-for-height among young children in post-conflict Tigray, Ethiopia. Methods A non-randomized cluster trial enrolled 8,442 children aged 6-23 months across four districts. The intervention group (n=6,838) received daily 20g SQ-LNS sachets for six months plus behavior change communication; the control group (n=1,604) received standard nutrition programming. Primary outcomes were acute malnutrition prevalence (WHZ < -2 or MUAC < 12.5cm) and distribution of weight-for-height z-scores. Data were collected biweekly and analyzed using longitudinal comparisons and difference-in-differences (DiD) estimation. Results Acute malnutrition declined from 22.1% to 4.2% in the intervention group (17.9 percentage point reduction) versus 19.6% to 11.4% in controls (8.2-point reduction). Mean WHZ scores increased from -0.35 to +0.33 in the intervention group (gain of +0.68 z-scores), while controls improved from -0.79 to -0.63 (gain of +0.16). The net intervention effect (DiD) showed a 4.9 percentage point reduction in WHZ-defined GAM and a 9.7-point reduction in MUAC-defined GAM. Mean WHZ and MUAC increased significantly more in the intervention group (DiD: +0.52 z-scores and +3.88 mm, respectively). Critically, the entire WHZ distribution shifted rightward, indicating population-level nutritional improvement, not merely reduced caseloads. Conclusions Six months of daily SQ-LNS effectively prevented acute malnutrition and shifted the entire weight-for-height distribution rightward among young children in post-conflict Tigray. Benefits extended beyond treatment, lifting whole-population nutritional status and building resilience. Findings support SQ-LNS inclusion in post-conflict nutrition packages and highlight the importance of assessing distributional outcomes, not just prevalence, when evaluating nutritional interventions. Trial registration number This trial was registered as NCT06103084.

BackgroundHigher-quality diets have been associated with lower levels of ectopic fat deposited in the viscera and liver, which is hypothesized to be mediated in part by the gut microbiota. ObjectivesWe tested this hypothesis in a multi-ethnic imaging study using global (microbiome-wide) testing as well as a high-dimensional multiple-mediators regression framework to identify bacterial genera in the human gut that mediate the association between diet quality and ectopic adiposity. MethodsWe analyzed the cross-sectional data of 1,400 older adults (age 60-77) from five racial/ethnic groups in the Multiethnic Cohort Adiposity Phenotype Study (2013-2016). Overall diet quality was defined by adherence to the MIND diet. The relative abundance of 151 bacterial genera was quantified from 16S rRNA gene sequencing of the stool samples. Visceral fat, liver fat, and the presence of MASLD (metabolic dysfunction-associated steatotic liver disease) were determined based on magnetic resonance imaging (MRI). We used high-dimensional mediation analysis (HDMA) to estimate gut microbial mediation in the linear regression of visceral fat or liver fat, or in logistic regression of MASLD, on the MIND adherence score, adjusted for potential confounders. ResultsHigher diet quality was associated with lower ectopic adiposity: 12% less visceral fat area, 23% less liver fat, and a 49% less likelihood of having MASLD, comparing the highest to the lowest quartile of the MIND score. Using a distance-based global test, we confirmed overall significant microbial mediation of the inverse diet-ectopic fat association. From HDMA, four bacterial genera were identified as mediating the protective association with visceral fat, with the largest mediation conferred by Lachnospiraceae UCG.001 (12.2%). Two genera (Lachnoclostridium, Weissella) were shown to mediate the MIND association with both liver fat and MASLD. In particular, Lachnoclostridium mediated 13.6% of the liver fat association and 10.8% of the MASLD association, and Lachnospiraceae UCG.001 additionally mediated 12.1% of the liver fat association. ConclusionsOur results support the hypothesis that the gut microbiota contributes to conveying the effect of diet quality on preferred body fat distribution, e.g., involving bacteria that are known to produce short-chain fatty acids (Lachnospiraceae) or secondary bile acids (Lachnoclostridium).

Introduction High consumption of ultra-processed foods (UPF) is associated with adverse health outcomes and weight gain. Despite increasing calls for behavioural strategies to reduce UPF intake, no theory-informed intervention targeting UPF reduction has been evaluated in UK adults in alignment with national dietary guidance. We assessed the feasibility, acceptability, and preliminary behavioural and clinical outcomes of a multi-component intervention designed to reduce UPF consumption (and increase physical activity (PA)/minimally processed food (MPF) intake). Methods In this exploratory single-arm pre-post study, adults (N=45) living with overweight or obesity and habitual UPF intake [&ge;]50% of total energy were offered a 6-month behavioural intervention following a controlled feeding phase (UPDATE trial, stage 1). The intervention was developed using the Behaviour Change Wheel and Capability, Opportunity, Motivation-Behaviour (COM-B) model and included one-to-one sessions with a behavioural scientist, tailored print and digital materials, peer-support meetings, and a moderated group chat. Feasibility outcomes included uptake, retention, and intervention fidelity. Secondary outcomes included COM-B constructs, dietary intake, PA, clinical and self-reported outcomes, and qualitative feedback. Results Uptake was 91% (41/45). Retention at 6 months was 68% (28/41), with 83% (34/41) providing follow-up data (intention-to-treat). Median attendance at one-to-one sessions was 86% (interquartile range (IQR): 57-100) with 56% (23/41) attending all sessions (per-protocol). Fidelity to core behaviour change techniques was high. At 6 months, COM-B scores improved for healthy eating (+7%, standard deviation (SD): 8; p<0.001) and physical activity (+5%, SD: 9; p=0.013). UPF intake decreased by 25% of total energy (95% confidence interval (95%CI): -32, -17), with a corresponding increase in minimally processed foods (+23%; 95%CI: 17, 29). Vigorous physical activity increased (+60 min/week, IQR: 0-180), weekday sitting time decreased (-61 min/day, SD: 110), and weight reduced by 3.8 kg (IQR: -8.5-1.0; p=0.001). Findings were similar in per-protocol analyses. Qualitative data indicated perceived improvements in wellbeing and habit formation. Conclusion This theory-informed intervention demonstrated good feasibility and acceptability and was associated with improvements in targeted behavioural mechanisms and health-related outcomes. A randomised controlled pilot trial is warranted to evaluate effectiveness and refine implementation.

Gene-environment interactions (GEI) contribute to circulating polyunsaturated fatty acid (PUFA) and monounsaturated fatty acid (MUFA) profiles. GEI may partly explain differences in trait variance across genotype groups. To identify GEI for circulating unsaturated fatty acids, we adopted a two-stage strategy. First, we detected quantitative trait loci associated with trait variance (vQTLs). Second, we tested these vQTLs for interaction with fish oil supplements (FOS). We performed genome-wide vQTL screens for 14 plasma PUFA and MUFA phenotypes in a UK Biobank subset of 200,478 participants. At the genome-wide significance threshold (p < 5.0 x 10-8), we identified 172 vQTL-trait pairs across all 14 traits, and 16 of these vQTLs had no marginal genetic effect on the corresponding trait. We found 46 non-overlapping loci across all phenotypes, with an average of 12 vQTLs per trait. Omega-6% and PUFA% had the most independent vQTLs (N = 24) while DHA% and Omega-3% had the least (N = 1 and 2, respectively). For each of the 172 vQTL-trait pairs, we tested the interaction effect of the vQTL with FOS on the corresponding trait. We found six significant interaction signals in DHA, DHA%, Omega-3, Omega-3%, LA, and Omega-6/Omega-3 ratio around the FADS1/2, ZPR1, and SUGP1/TM6SF2 genes. Our results provide a comprehensive resource of vQTLs and gene-FOS interactions shaping the circulating levels of unsaturated fatty acids.

Although the co-occurrence of diarrhea and malnutrition is well documented, research has largely focused on the acute management of diarrheal illness. Despite its importance, longitudinal evidence characterizing post-diarrheal recovery trajectories is sparse. We sought to characterize post-diarrheal nutritional recovery trajectories among children aged 6-35 months who were malnourished at enrollment using data from the Enterics for Global Health (EFGH) Shigella Surveillance study (2022-2024). EFGH enrolled children aged 6-35 months presenting with medically-attended diarrhea and followed them at 4 weeks and 3 months post-enrollment. This analysis included children with baseline wasting, stunting, or underweight (z-score < -2) and complete anthropometric follow-up. Latent class mixed-effects models were used to identify distinct post-diarrheal growth trajectories based on changes in anthropometric z-scores over time. Multinomial modified Poisson regression models examined associations between baseline factors and trajectory membership. Among 9,480 enrolled children, 16.5% (n=1,561) were wasted, 22.7% (n=2,155) stunted, and 21.0% (n=1,994) underweight at baseline. Wasting showed greater recovery potential (80.8%) compared with stunting (38.5%) and underweight (40.3%). Recovery was shaped by factors across multiple levels. Clinical severity markers ( prolonged diarrhea, dehydration, and hypoxemia) increased the risk of nutritional failure. Age also influenced outcomes: infants were more likely to worsen, whereas older toddlers more often experienced stagnation. Interventions including exclusive breastfeeding, oral rehydration therapy, appropriate antibiotics, and zinc supplementation, improved outcomes, while unimproved sanitation undermined recovery. These findings highlight the need for integrated strategies combining infection control, nutritional rehabilitation, and water, sanitation, and hygiene interventions tailored to the childrens developmental stage. Key MessagesO_LIPost-diarrheal nutritional recovery is highly heterogeneous, with wasting showing the greatest potential for improvement, while stunting and underweight often result in persistent growth stagnation. C_LIO_LIBaseline anthropometric deficits alone are insufficient to predict recovery, highlighting the need for dynamic monitoring and individualized management. C_LIO_LIInfants are particularly vulnerable to acute nutritional deterioration, while older toddlers frequently experience growth stagnation. C_LIO_LIModifiable protective factors including exclusive breastfeeding, ORS, zinc, and appropriate antibiotics, improved outcomes, whereas poor sanitation undermined recovery. C_LIO_LIIntegrated strategies, tailored to a childs developmental stage, combining clinical care, nutrition, and environmental interventions are critical to support sustained child growth and development. C_LI

Background: The timing of energy intake could be important in the development of obesity. However, most observational evidence stems from adults, anthropometric defined obesity outcomes, single meal timing phenotyping, and traditional regression modeling. Objective: We aimed to describe meal timing patterns in adolescents and determine if they associated with fat mass by modeling the median and all other percentiles of the frequency distribution. Methods: We analyzed data from the Sleep and Growth Study 2 (S-Grow2, N=286, 12-13y). Participants completed 3-day 24-hour dietary recalls and time stamped eating occasions were used to define 8 meal timing traits, with aide from self-reported wake and bed timing. Principal component analysis (PCA) identified multi-dimensional meal timing patterns. Fat mass index (FMI) was estimated using dual energy X-ray absorptiometry. Quantile regression assessed if there were associations between meal timing traits and FMI across the entire FMI frequency distribution. Results: The typical first and last eating occasions were 8:00am (40 minutes after waking) and 8:00pm (2.7 hours before sleep), respectively, thus the eating period typically lasted 11.5 hours per day. The typical eating period midpoint was 2:15pm, and the timing when 50% of energy intake was consumed typically occurred at 3:15pm. PCA revealed three meal timing patterns: 1) Delayed Start, Condensed Eating Period (43% of variance; shorter eating period and delayed timing of first eating); 2) Late, Sleep Proximal Eating (30% of variance; later timing of last eating and extended eating period), and 3) Later Energy Intake (10% of variance; delayed energy intake midpoint). Higher scores for the Delayed Start, Condensed Eating Period pattern associated with higher body mass index and FMI at the upper tails of their distributions. Conclusions: Distinct multidimensional meal timing patterns emerged in early adolescence, with the delayed start, condensed eating period pattern potentially associated with higher adiposity.

Background Maternal iron requirements increase substantially during pregnancy, and ferritin concentrations typically decline as gestation progresses. However, the physiologic significance of this decline remains uncertain, and whether reductions in maternal iron stores relate to birth outcomes is unclear. Objectives To examine associations between maternal ferritin trajectories during pregnancy and postpartum and infant anthropometric outcomes. Methods We conducted a secondary longitudinal analysis of 1,496 mother - infant pairs from the Alberta Pregnancy Outcomes and Nutrition cohort. Serum ferritin was measured longitudinally in the second and third trimesters and at three months postpartum, with limited first-trimester data available. Values below 15 g/L indicated iron deficiency. Multivariable linear regression assessed associations between inflammation-adjusted third-trimester serum ferritin and infant birthweight and length. Change in serum ferritin between the second and third trimesters ({delta} ferritin) was examined as a marker of late-gestation iron mobilization. Postpartum serum ferritin was modelled using restricted cubic splines to account for nonlinear associations with birth weight and length. Results Ferritin concentrations declined progressively across pregnancy, with 61% of women classified as iron deficient in the third trimester. Lower inflammation-adjusted third-trimester ferritin was associated with higher birthweight, corresponding to approximately 84g higher birthweight per 2.7 - fold decrease in ferritin (p < 0.001). Women experiencing the largest decline in ferritin between the second and third trimester delivered infants approximately 155 g heavier than those with minimal change (p = 0.001). Higher birthweight was associated with greater odds of postpartum iron deficiency (OR per 1 kg = 1.83; 95% CI: 1.12 - 2.99). Conclusions In this healthy cohort, maternal iron depletion in late pregnancy was associated with higher birthweight, consistent with preferential fetal iron transfer. Women delivering larger infants exhibited higher odds of iron deficiency, suggesting sustained maternal iron depletion following greater fetal iron accretion.

Obesity and related cardiometabolic diseases pose significant global health challenges. Konjac glucomannan, a soluble dietary fiber, has shown promise in managing these conditions. However, rigorous studies are necessary to establish its benefits on human health. We designed a parallel-arm, triple-blind, placebo-controlled RCT to test the effects of glucomannan (3 g/day, 12 weeks) on body weight and composition, lipid profile, glucose metabolism, inflammation, adipokines, intestinal permeability, gut microbiota, and fecal metabolites in 40 adults. Participants were randomly assigned to either the glucomannan or placebo group, with both groups adhering to personalized hypocaloric diets and moderate physical activity. Outcomes were analyzed as intention-to-treat using linear mixed-effect models. Irrespective of the treatment, our intervention reduced body weight (mean: -2.39 kg; 95% CI: -3.38, -1.40), BMI (-0.83 kg/m2; -1.15, -0.52), and waist (-2.70 cm; -3.87, -1.53). Glucomannan promoted additional benefits not obtained with the placebo, reducing body fat measured by DEXA (body fat%: -2.16%; -3.04, -1.28; VAT: -20.0 cm2; - 29.2, -10.8; FMI: -0.98 kg/m2; -1.34, -0.62), LDL (-14.1 mg/dL; -23.4, -4.9), and the atherogenic index (-0.50; -0.80, -0.21). It also diminished the Framingham score of 10-year risk of coronary heart disease (-0.370; -0.625, -0.115), C reactive protein (-1.01 mg/L; -2.18, 0.15), leptin (-2.06 ng/mL; -4.48, 0.365), and leptin/adiponectin (-0.282; -0.603, 0.040). The two treatments had similar intakes, physical activity, and adherence to the intervention. There were no adverse effects. This intervention fostered health benefits in a population at high risk of cardiometabolic diseases. Konjac glucomannan was an effective co-adjuvant for further reducing risk factors.

Vitamin B2 (riboflavin) is a key redox cofactor that may modulate gut microbial ecology, yet conventional supplements are absorbed proximally and have limited colonic exposure. We evaluated whether colon-targeted riboflavin alters microbiome composition, function and network structure as well as host biomarkers in healthy older adults. In a randomized, double-blind, placebo-controlled, parallel-group clinical trial (N=348; 50-70 years), participants received colon-targeted riboflavin (1.4, 10, or 75 mg/day) or placebo for 12 weeks. The primary endpoint was the change in fecal microbial composition, while secondary endpoints encompassed microbiome function, host health biomarkers, and clinical outcomes. Shotgun metagenomics and fecal/blood biomarkers were assessed at baseline, week 4, and week 12. Although no significant changes were observed between groups in overall community-wide diversity metrics (alpha and beta diversity), colon-delivered riboflavin significantly altered the relative abundance of several microbial taxa compared with placebo. The most pronounced effects on microbiome composition, function, and network structure were observed with the 10 mg dose at week 12, reflected by within-group increases in alpha diversity, the largest rise in total species counts, higher HACK index values indicating greater community resilience, and distinct shifts in KEGG module abundance, including enhanced potential for riboflavin biosynthesis. Supplementation with 75 mg riboflavin led to higher fecal butyrate concentrations at week 4 versus placebo, while the lowest dose (1.4 mg) significantly reduced the dysbiosis index within groups and modestly improved network structure across groups. All three doses (1.4, 10, and 75 mg) influenced keystone species abundance. No between-group differences were observed for gastrointestinal symptoms, quality-of-life measures, fecal pH, high-sensitivity C-reactive protein (hs-CRP), calprotectin, or soluble CD14, except for an increase in plasma riboflavin concentrations at 75 mg after 12 weeks, indicating colonic absorption. The product was safe and well-tolerated across all doses. These findings indicate that colon-targeted riboflavin can act as a functional modulator of the human gut microbiome, with the most consistent effects observed at 10 mg and additional dose-specific effects at 1.4 mg and 75 mg. Future studies are warranted to establish related health benefits, either as a standalone intervention or in combination with classical pre-, pro-, or postbiotics, particularly in target populations such as individuals with IBS, stress, mild cognitive decline, or early metabolic or inflammatory alterations.

Background: Creatine monohydrate (typically 5 to 20 g/day) has a well-established safety profile across diverse populations. Creatine hydrochloride (CR-HCl) is a highly soluble creatine formulation that may allow effective supplementation at substantially lower doses (750 mg to 3 g/day); however, controlled human safety data specific to CRHCl remain limited. Objective: To evaluate the short-term laboratory safety and tolerability of low dose CRHCl supplementation administered for 28 days in healthy adults. Methods: This single center, single arm, singl blind pilot safety study enrolled 11 healthy adults (10 females, 1 male; mean age 44.6 plus/minus 7.2 years). Participants consumed 750 mg/day CRHCl for 28 consecutive days while maintaining their usual diet and physical activity patterns. Fasting blood and urine samples were collected at baseline and Day 28. Laboratory assessments included hematological, lipid, and clinical chemistry biomarkers. Pre and post changes were evaluated using paired parametric and nonparametric tests, baseline-adjusted regression models, bootstrap confidence intervals, and false discovery rate (FDR) correction. Results: All participants completed the intervention. No clinically meaningful changes were observed in lipid parameters, hematologic indices, renal markers, or most chemistry analytes after adjustment for multiple comparisons. Fasting glucose increased modestly (8.1 mg/dL) prior to multiplicity adjustment but was not statistically significant after FDR correction and remained within reference ranges. Serum bicarbonate decreased slightly (2.4 mmol/L); although statistically detectable in parametric analysis, values remained within physiological limits and were not consistently supported by nonparametric testing.

Dietary patterns worldwide have shifted toward increased consumption of ultraprocessed foods (UPFs), which has been linked to higher disease burden. One mechanism proposed to impact both their consumption and contribution to metabolic disease is altered post-ingestive metabolic response in comparison to nutritionally similar foods. Here, we recruited 57 healthy-weight 18-45-year-old adults to examine the effects of food processing on postprandial metabolism and brain response. Despite nutritional matching, UPF meals evoked a greater insulinemic and energetic response with attenuated carbohydrate oxidation relative to non-UPF meals. Next, between-condition differences in peak carbohydrate oxidation were associated with mesolimbic and superior temporal gyrus activation in response to food cues. Finally, although food value did not differ between conditions, brain responses correlated with food valuation were positive for non-UPF but negative for UPF in visual cortex and striatum. These findings demonstrate that food processing influences post-ingestive metabolism in a way that could help explain long term health effects and differences in food reward through mechanisms beyond calories and macronutrient composition alone.

The gut microbiome is a key regulator of metabolic homeostasis and contributes to obesity progression through effects on immune signaling, gut barrier integrity, and systemic inflammation. Microbiome-targeted strategies are therefore being explored as complementary approaches to conventional weight-loss therapies. Here, we investigated the probiotic yeast Saccharomyces boulardii in a murine model of diet-induced obesity (DIO) using an integrated multi-omics framework combining metabolic phenotyping, gut microbiome profiling, cecal metabolomics, colonic transcriptomics, and portal cytokine analysis. S. boulardii reduced food intake, attenuated weight gain, and increased energy expenditure without major changes in circulating metabolic hormone levels. Microbial diversity remained largely preserved, but selective enrichment of Bacteroidales lineages, including Muribaculaceae, was observed alongside functional remodeling of microbial pathways. Cecal metabolomics revealed increased B-vitamins, betaine, and GABA, with reduced stress-associated metabolites. Colonic transcriptomics showed attenuation of TNF/NF-{kappa}B signaling and enrichment of interferon and epithelial programs, while portal cytokine profiling indicated reduced inflammatory chemokines with trends toward increased IL-17A and IL-22. Integrated multi-omics analysis identified coordinated host-microbe interactions across metabolic, transcriptional, and immune layers. Collectively, these findings demonstrate that S. boulardii modulates the gut-immune-metabolic axis in obesity, supporting microbiome-based interventions as potential adjunct strategies targeting metabolic inflammation.

Genome-guided dietary advice is a goal of precision nutrition. However, the contribution of gene-diet interactions (GxDs) to disease risk remains unclear, hindering the identification of diet-outcome pairs more likely amenable to genetic-based recommendations. We thus implemented a two-step approach: first, we comprehensively assessed the contributions of genome-wide GxDs to cardiometabolic outcomes across a broad array of dietary exposures in UK Biobank participants (N = 141,144 to 325,989). Second, we selected the 20 significant diet-outcome pairs from the 713 pairs tested (p < 7.0 x 10-5) and derived GxD polygenic scores. In an independent sample, all scores were nominally associated with their corresponding outcomes, with 12 of 20 polygenic scores Bonferroni significant (p < 0.0025). Further analyses revealed GxD polygenic scores were associated with clinical outcomes such as incident gout, suggesting translational potential. Altogether, these results showcase the promise of GxD scores to inform precision nutrition.

Background: Accurate dietary assessment is essential for precision nutrition and effective nutrition surveillance. However, portion size estimation remains a persistent challenge, particularly in culturally diverse regions such as Central Asia. Traditional self-reporting tools often yield inconsistent results due to communal eating practices and unfamiliarity with standard measures. Objective: To address these limitations, this study aimed to compare three methods: unassisted human judgment, visual food atlas assistance, and an artificial intelligence (AI) model, using Central Asian food items. Methods: In this cross-sectional study, 128 participants from Astana, Kazakhstan, visually estimated portion sizes of 51 foods and 8 beverages from standardized photographs. Participants were randomized into two groups: one using unassisted visual estimation and the other aided by a regionally tailored digital food atlas. Additionally, an AI model trained on Central Asian food images was evaluated. Actual food weights served as the reference standard. Accuracy was assessed using Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) across food types and portion sizes. Results: The atlas-assisted group demonstrated the highest accuracy, with the lowest MAE (80.81g) and MAPE (44.76%) across all portions. The AI model showed promising results for average portions (MAE: 79.07g, MAPE: 67.91%) but underperformed on small portions, particularly for meat-based items. Unassisted estimates were the least accurate (MAE: 133.86g, MAPE: 79.40%). Across food categories, visual aids consistently improved accuracy, while AI demonstrated variability by texture and portion size. Conclusions: Culturally adapted visual atlases significantly enhance portion size estimation accuracy in non-Western, communal-eating contexts. While AI models hold promise for dietary assessments, particularly with standard portions and beverages, further refinement is needed for complex food items and small portion types. These findings support the integration of visual and AI-based tools into region-specific dietary monitoring strategies.

Child undernutrition remains a major public health challenge in Kenya. Suboptimal feeding practices contribute significantly to persistent underweight and stunting. This study evaluated the effect of a community-based Positive Deviance Hearth (PDH) intervention on feeding practices among children aged 6-59 months in Sub County within a County of study. The study adopted a two-group pretest-posttest randomized experimental study design conducted for six months period, among 84 caregiver-child pairs in intervention and control groups. A multi-stage sampling was employed to identify study settings and participants. Structured and pretested questionnaires, 24-hour food recall questionnaires and meal diversity questionnaires were used for data collection at pre-intervention and post-intervention periods. Data was analyzed using R software v.4.5.2. The differences between intervention and control groups at baseline and endline were assessed using difference-in-difference analysis, relevantly summarized using adjusted DID estimates, 95% confidence intervals and p-values, with p<0.05 considered significant. The PDH intervention significantly improved feeding practices among children 6-59 months. Meal frequency increased for 9-23 months (DiD = +1.4; 95% CI: 1.2-1.7; p = 0.034) and 24 months and above (DiD = +1.2; 95% CI: 1.1-1.5; p = 0.017), and dietary diversity rose (DiD = +1.3; 95% CI: 1.1-1.9; p < 0.001). Nutrient-dense food consumption improved, including legumes (DiD = +32.6%; p < 0.001) and animal-source foods (DiD = +35.4%; p < 0.001). Energy and protein intake increased across all age groups (p < 0.05), and micronutrients iron, vitamin A, vitamin C also rose significantly (p < 0.05). The PDH intervention substantially improved caregiver feeding practices, increased dietary diversity, and enhanced macro- and micronutrient intake, demonstrating its effectiveness as a scalable, community-driven strategy for sustainably improving child nutrition in high-burden settings.

Hericium erinaceus (Lions Mane) is a functional mushroom with a long history of culinary and traditional use, as well as potential neurotrophic and mood modulating properties. Evidence for its effects on cognitive performance under real world conditions, however, remains limited. In this randomized, double blind, placebo controlled trial, adults aged 40 to 75 years with self reported cognitive difficulty completed a one week baseline followed by eight weeks of daily supplementation with 2 g of H. erinaceus fruiting body and mycelial biomass or placebo. Cognitive performance using a computerized battery, as well as daily subjective assessments of sleep and wellbeing, were collected remotely. 109 Participants were included in the primary analysis (H. erinaceus, n = 57; placebo, n = 52). H. erinaceus was associated with significantly greater improvement in visual attention and working memory (Juggle Factor task), subjective sleep quality, morning restedness, and mood compared with placebo (p < 0.05). No adverse events were reported in participants receiving H. erinaceus. Together, H. erinaceus supplementation modestly improved visual attention and was associated with faster improvements in sleep quality, restedness, and mood in adults with subjective cognitive concerns.

This study investigated the effects of Lactiplantibacillus plantarum VB165, a probiotic strain with intrinsic -glucosidase inhibitor (AGI) activity, on metabolic disorders in high-fat diet (HFD)-induced insulin-resistant (IR) mice. Male C57BL/6 mice were divided into four groups: normal control diet (NCD), NCD supplemented with VB165, HFD, and HFD supplemented with VB165. After 16 weeks, VB165 supplementation significantly attenuated HFD-induced weight gain and reduced epididymal and inguinal white adipose tissue indices. VB165 also improved glucose intolerance and insulin resistance (IR), as demonstrated by oral glucose tolerance tests (OGTT) and insulin tolerance tests (ITT), and lowered fasting blood glucose, fasting insulin, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) levels. Additionally, it ameliorated dyslipidemia by reducing serum total cholesterol, triglycerides, and low-density lipoprotein cholesterol (LDL-C), while alleviating hepatic steatosis and adipocyte hypertrophy. Mechanistically, VB165 enhanced intestinal barrier function by upregulating tight junction proteins (ZO-1 and Occludin), reduced systemic inflammation by lowering LPS, IL-6, and IL-1{beta}. Gut microbiota analysis revealed that VB165 modulated community composition, suppressing HFD-enriched genera (e.g., Ileibacterium and Coriobacteriaceae_UCG_002) and promoting beneficial taxa (e.g., Faecalibaculum and Oscillibacter). These findings demonstrate that L. plantarum VB165 improves HFD-induced metabolic disorders via multi-target mechanisms, highlighting its potential as a probiotic intervention for IR and related metabolic diseases.

Introduction: Minimum dietary diversity (MDD) is a key indicator of complementary feeding among children aged 6-23 months. This study examines the prevalence, trends, and determinants of MDD in Bangladesh over the period 2014 - 2022. Design: Secondary analysis of the Bangladesh Demographic and Health Survey (BDHS) data between 2014 and 2022. The primary outcome was MDD defined as consumption of at least 5 of 8 food groups (MDD-8). We included 6,080 children aged 6-23 months to assess trends over time. The pooled datasets were used to identify factors associated with MDD-8. Multiple logistic regression was performed to assess the association between different factors and MDD-8, accounting for the complex survey design. Setting: Bangladesh Results: The proportion of children achieving MDD-8 increased from 26.4% in 2014 to 38.7% in 2017, but plateaued at 37.1% in 2022, with an average annual increase of 4.3% between 2014 and 2022. MDD-8 improved with child age. Higher odds of achieving MDD-8 were observed among children surveyed in later years, from wealthier households, with mothers who had >=4 ANC visits, received PNC, had higher education, were employed, and had media exposure. Older age and higher birth order were also associated with achieving adequate MDD. Children in Chattogram and Sylhet were less likely to meet MDD-8 compared to Dhaka. Conclusions: While dietary diversity improved between 2014 and 2017, progress stalled thereafter. Targeted, multisectoral strategies focusing on womens empowerment, health service utilisation, media engagement, and disadvantaged regions are needed to improve child dietary diversity in Bangladesh.