







Objective Prospective studies evaluating diet in relation to the risk of gout in Asian populations are lacking. The purpose of this study was to examine the relationship between the consumption of dietary protein from each of its major sources and the risk of gout in a Chinese population. Methods We used data from the Singapore Chinese Health Study, a prospective cohort of 63,257 Chinese adults who were 45–74 years old at recruitment during the years 1993–1998. Habitual diet information was collected via a validated semiquantitative food frequency questionnaire, and physician-diagnosed gout was self-reported during 2 followup interviews up to the year 2010. Cox proportional hazards models were used to calculate the hazard ratios (HRs) and 95% confidence intervals (95% CIs), with adjustment for potential confounders, among 51,114 eligible study participants who were free of gout at baseline and responded to our followup interviews. Results A total of 2,167 participants reported physician-diagnosed gout during the followup period. The multivariate-adjusted HRs (with 95% CIs) of gout, comparing the first quartile with the fourth quartile, were as follows: 1.27 (1.12–1.44; P for trend < 0.001) for total protein, 1.27 (1.11–1.45; P for trend < 0.001) for poultry, 1.16 (1.02–1.32; P for trend = 0.006) for fish and shellfish, 0.86 (0.75–0.98; P for trend = 0.018) for soy food, and 0.83 (0.73–0.95; P for trend = 0.012) for nonsoy legumes. No statistically significant associations were found with protein intake from other sources (red meat, eggs, dairy products, grains, or nuts and seeds). Conclusion In this Chinese population living in Singapore, higher total dietary protein intake from mainly poultry and fish/shellfish was associated with an increased risk of gout, while dietary intake of soy and nonsoy legumes was associated with a reduced risk of gout.
Nut intake and hyperuricemia risk in young adults
Objective:The relationship between dietary nut intake and hyperuricemia risk remains unclear. The aim of this study was to investigate the relationship between different nut intake and hyperuricemia risk with a cross-sectional study.Design:A semi-quantitative FFQ was adopted to collect dietary information. Biochemical and anthropometric parameters were measured by standard methods. Multivariate-adjusted logistic regression models were implemented to analyse the relationship between individual nut intake and hyperuricemia risk.Setting:Qingdao University in Shandong Province, China.Participants:During 2018–2019, a total of 14 056 undergraduates (6862 males and 7194 females) aged 15–25 years participated in the study.Results:After adjusting for multiple confounding factors, compared with the lowest quartile, the highest quartile intakes of pine nut (95 % CI (0·51, 0·98)) was significantly associated with 29 % reduction in hyperuricemia risk, the highest quartile intake of walnut (OR = 0·78; 95 % CI (0·58, 1·05)) was marginally negatively associated with hyperuricemia risk.Conclusions:The present study showed that the relationships between intakes of different nuts and hyperuricemia risk were different. Increased dietary intakes of walnut and pine nut are negatively associated with the hyperuricemia.

Incident gout and weight change patterns: a retrospective cohort study of US adults
Although the relationship between obesity and incident gout has been clarified, the influence of weight changes during the transition from early adulthood to midlife and the different weight change patterns in specific age ranges on the incidence of gout in later life remain unknown. Therefore, we aimed to investigate the association between weight change patterns across adulthood and incident gout.

Coffee consumption and risk of incident gout in women: the Nurses’ Health Study123
Background: Coffee is one of the most widely consumed beverages in the world and may affect the risk of gout via various mechanisms, but prospective data on the relation between coffee intake and the risk of incident gout are limited. Design: Over a 26-y period, we prospectively examined the relation between coffee intake and risk of incident gout in 89,433 female participants in the Nurses’ Health Study. We assessed the consumption of coffee, decaffeinated coffee, tea, and total caffeine in participants every 2–4 y through validated questionnaires. We used a supplementary questionnaire to ascertain whether participants met the survey criteria of the American College of Rheumatology for gout. Results: During the 26 y of follow-up, we documented 896 confirmed incident cases of gout. There was an inverse association between higher coffee intake and the risk of gout. The multivariate relative risks (RRs) for incident gout according to coffee-consumption categories [ie, 0, 1–237, 238–947, and ≥948 mL coffee/d (237 mL = one 8-ounce cup)] were 1.00, 0.97, 0.78 (95% CI: 0.64, 0.95), and 0.43 (95% CI: 0.30, 0.61; P for trend < 0.0001), respectively. For decaffeinated coffee, the multivariate RRs according to consumption categories (0, 1–237, and ≥237 mL decaffeinated coffee/d) were 1.00, 1.02, and 0.77 (95% CI: 0.63, 0.95; P for trend = 0.02), respectively. There was an inverse association between total caffeine from all sources and the risk of gout; the multivariate RR of the highest quintile compared with the lowest quintile was 0.52 (95% CI: 0.41, 0.68; P for trend
Purine-Rich Foods, Dairy and Protein Intake, and the Risk of Gout in Men | NEJM
Various purine-rich foods and high protein intake have long been thought to be risk factors for gout. Similarly, the possibility that the consumption of dairy products has a role in protecting agai...

Soy consumption and serum uric acid levels: A systematic review and meta-analysis
BackgroundSoy consumption has health benefits, but the relationship between soy and uric acid remains uncertain. This meta-analysis and systematic review evaluated effects of soy intake on plasma uric acid.MethodsPubMed, Embase, CNKI, and the Cochrane Library were searched for studies evaluating the effects of soy, soy products, soy protein, and soy isoflavones on uric acid levels. The primary outcome was serum or plasma uric acid concentration. Study quality was evaluated by the Cochrane Collaboration and SYRCLE risk-of-bias tools.ResultsSeventeen studies were included. Qualitative analysis of three human clinical studies of acute effects revealed that soy consumption increased serum uric acid concentration; however, soy-derived products, including tofu, bean curd cake, and dried bean curd sticks, had no significant effect on serum uric acid. Meta-analysis of five long-term human studies (10 data sets) revealed that soy protein and soy isoflavones had no significant effects on uric acid levels (weighted mean difference [WMD] = −2.11; 95% confidence interval [CI]: −8.78, 4.55; p = 0.53). However, most epidemiological data revealed that soy intake is inversely associated with uric acid levels. Meta-analysis of nine animal trials (29 data sets) revealed that soy protein and soy isoflavones significantly reduced serum uric acid concentrations (vs. controls; MD = −38.02; 95% CI: −50.60, −25.44; p < 0.001). ConclusionSoy and its products have different effects on serum uric acid. Soy products like tofu, bean curd cake, and dried bean curd sticks could be high-quality protein sources for individuals with hyperuricemia or gout. It can be beneficial to nutritionists and health-care decision makers reconsider their conceptions about the relationship between soy and uric acid levels according to latest and further scientific study results.

Coffee consumption and risk of incident gout in men: A prospective study
Objective Coffee is one of the most widely consumed beverages in the world and may affect the risk of gout via various mechanisms. We prospectively evaluated the relationship between coffee intake a...

Alcohol Quantity and Type on Risk of Recurrent Gout Attacks: An Internet-based Case-crossover Study
Although beer and liquor have been associated with risk of incident gout, wine has not. Yet anecdotally, wine is thought to trigger gout attacks. Further, how much alcohol intake is needed to increase the risk of gout attack is not known. We examined the quantity and type of alcohol consumed on risk of recurrent gout attacks.

A contributory citizen science project reveals the impact of dietary keys to microbiome health in Spain
Low consumption of whole grains, fruits, and vegetables has been identified as dietary risks for non-communicable diseases such as inflammatory bowel diseases (IBDs). We explore how individual and lifestyle factors influence these risks by shaping gut microbiome composition. 1001 healthy participants from all Spanish regions provided personal and dietary data at baseline, six, and twelve months, yielding 2475 responses. Gut microbiome data were analyzed for 500 healthy participants and 321 IBD patients. Our findings reveal that adherence to national dietary guidelines—characterized by diets rich in nuts, seeds, fruits, and vegetables—was associated with greater microbial diversity and reduced IBD-related dysbiosis. Finally, we observed variations in dietary patterns and microbiome diversity and composition across age groups, genders, regions, seasons, and transit time. This study is among the first to uncover dietary intake associated with IBD-related dysbiosis and to propose an interactive website for participants (https://manichanh.vhir.org/POP/en).

Alcohol intake and risk of incident gout in men: a prospective study
Alcohol intake is strongly associated with an increased risk of gout. This risk varies substantially according to type of alcoholic beverage: beer confers a larger risk than spirits, whereas moderate wine drinking does not increase the risk.

Eating peanuts not related to gout, says expert
People suffering from gout need not stop eating peanut and legumes after all.
Inverse association between coffee drinking and serum uric acid concentrations in middle-aged Japanese males
Consumption of caffeine-rich beverages, which have diuretic properties, may decrease serum uric acid concentrations. We examined cross-sectionally the relationship of coffee and green tea consumption to serum uric acid concentrations in 2240 male self-defence officials who received a pre-retirement health examination at four hospitals of the Self-Defence Forces between 1993 and 1994. The mean levels of coffee and green tea consumption were 2·3 and 3·1 cups/d respectively. There was a clear inverse relationship between coffee consumption and serum uric acid concentration. When adjusted for hospital only, those consuming less than one cup of coffee daily had a mean serum uric acid concentration of 60 mg/l, while that of those drinking five or more cups of coffee daily was 56 mg/l (P < 0·0001). No such relationship was observed for green tea, another major dietary source of caffeine in Japan. The relationship between coffee consumption and serum uric acid concentration was independent of age, rank in the Self-Defence Forces, BMI, systolic blood pressure, serum creatinine, serum total cholesterol and serum HDL-cholesterol concentrations, smoking status, alcohol use, beer consumption and intake of dairy products. These findings suggest that coffee drinking may be associated with lower concentrations of serum uric acid, and further studies are needed to confirm the association.

U.S. Montmorency Tart Cherry Juice Decreases Bone Resorption in Women Aged 65–80 Years
Pre-clinical studies have demonstrated that tart cherries, rich in hydroxycinnamic acids and anthocyanins, protect against age-related and inflammation-induced bone loss. This study examined how daily consumption of Montmorency tart cherry juice (TC) alters biomarkers of bone metabolism in older women. Healthy women, aged 65–80 years (n = 27), were randomly assigned to consume ~240 mL (8 fl. oz.) of juice once (TC1X) or twice (TC2X) per day for 90 d. Dual-energy x-ray absorptiometry (DXA) scans were performed to determine bone density at baseline, and pre- and post-treatment serum biomarkers of bone formation and resorption, vitamin D, inflammation, and oxidative stress were assessed. Irrespective of osteoporosis risk, the bone resorption marker, tartrate resistant acid phosphatase type 5b, was significantly reduced with the TC2X dose compared to baseline, but not with the TC1X dose. In terms of indicators of bone formation and turnover, neither serum bone-specific alkaline phosphatase nor osteocalcin were altered. No changes in thiobarbituric acid reactive substances or high sensitivity C-reactive protein were observed in response to either TC1X or TC2X. We conclude that short-term supplementation with the higher dose of tart cherry juice decreased bone resorption from baseline without altering bone formation and turnover biomarkers in this cohort.

Genetic Determinants of Macronutrient Intake Are Associated With Specific Food Intake in Youth: A Cohort Study Across Childhood and Adolescence
OBJECTIVE. We examined associations of polygenic scores (PS) for macronutrient intake with food intake and cardiometabolic outcomes during childhood and ad

Coffee, tea, and caffeine consumption and serum uric acid level: The third national health and nutrition examination survey
ChatGPT Health performance in a structured test of triage recommendations
ChatGPT Health was launched in January 2026 as OpenAI’s consumer health tool and has reached millions of users. Here we conducted a structured stress test of triage recommendations using 60 clinician-authored vignettes across 21 clinical domains under 16 factorial conditions, yielding 960 total responses. Performance followed an inverted U-shaped pattern, with the most dangerous failures concentrated at clinical extremes—nonurgent presentations (35%) and emergency conditions (48%). Among gold-standard emergencies, the system undertriaged 52% of cases, directing patients with diabetic ketoacidosis or impending respiratory failure to 24–48 h evaluation rather than the emergency department, while correctly triaging classical emergencies such as stroke and anaphylaxis. When family or friends minimized symptoms, indicating anchoring bias, triage recommendations shifted significantly in edge cases (odds ratio = 11.7, 95% confidence interval = 3.7–36.6), with the majority of shifts toward less urgent care. Crisis-intervention messages activated unpredictably across suicidal ideation presentations, occurring more frequently when patients described no specific method than when they did. Patient race, sex and barriers to care did not show significant effects, although confidence intervals did not exclude clinically meaningful differences. These findings reveal missed high-risk emergencies and inconsistent activation of crisis safeguards, raising safety concerns that warrant prospective validation before consumer-scale deployment of artificial intelligence triage systems.

ChatGPT Health performance in a structured test of triage recommendations
ChatGPT Health was launched in January 2026 as OpenAI’s consumer health tool and has reached millions of users. Here we conducted a structured stress test of triage recommendations using 60 clinician-authored vignettes across 21 clinical domains under 16 factorial conditions, yielding 960 total responses. Performance followed an inverted U-shaped pattern, with the most dangerous failures concentrated at clinical extremes—nonurgent presentations (35%) and emergency conditions (48%). Among gold-standard emergencies, the system undertriaged 52% of cases, directing patients with diabetic ketoacidosis or impending respiratory failure to 24–48 h evaluation rather than the emergency department, while correctly triaging classical emergencies such as stroke and anaphylaxis. When family or friends minimized symptoms, indicating anchoring bias, triage recommendations shifted significantly in edge cases (odds ratio = 11.7, 95% confidence interval = 3.7–36.6), with the majority of shifts toward less urgent care. Crisis-intervention messages activated unpredictably across suicidal ideation presentations, occurring more frequently when patients described no specific method than when they did. Patient race, sex and barriers to care did not show significant effects, although confidence intervals did not exclude clinically meaningful differences. These findings reveal missed high-risk emergencies and inconsistent activation of crisis safeguards, raising safety concerns that warrant prospective validation before consumer-scale deployment of artificial intelligence triage systems.
