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Inflammatory bowel diseases are chronic, relapsing inflammatory disorders of the gastrointestinal tract with variable disease courses and complications, which in some cases can result in significant morbidities and disabilities. Etiologies remain unclear due to complex interactions between genetic and environmental factors. Considering the heterogeneity of inflammatory bowel diseases, personalized approaches in diagnosing and managing affected patients would be beneficial in maximizing treatment efficacies and minimizing adverse events. Personalized medicine may also help to stratify patients with a high risk of progression and inflammatory bowel disease‐related complications and identify sub‐phenotypic mechanisms to facilitate drug discovery and the development of new treatments. In Asia, with a rapidly increasing incidence and prevalence of inflammatory bowel diseases, studies have shown that patients of Asian ethnicity differ from their Western counterparts in terms of genetic and clinical aspects of inflammatory bowel diseases. Therefore, personalized medicine may differ for patients of Asian ethnicity with inflammatory bowel diseases. We reviewed and summarized current evidence concerning personalized medicine for the diagnosis and management of patients with inflammatory bowel diseases and its possible role from an Asian perspective. [ABSTRACT FROM AUTHOR]

Context The prevalence of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVDs) is increasing in Asia and several countries are adopting preventive policies to reduce consumption of sugar-sweetened beverages (SSBs). However, evidence on the relation between SSB consumption and cardiometabolic health in Asian populations has not been summarized. Objective In this systematic review, the associations between consumption of SSBs and cardiometabolic outcomes, including obesity, T2DM, and CVD, are examined in Asian populations. Data sources The PubMed, Scopus, and Web of Science databases, and gray literature were searched up to October, 2020 to identify relevant articles. Data extraction Two investigators independently extracted data from included studies. Data analysis When sufficient studies were available, a random-effects meta-analysis was used to calculate the pooled estimates (expressed as risk ratio [RR] and 95% confidence interval [CI]). Heterogeneity was tested and quantified using the Cochrane Q test and I 2 statistic, respectively. Results Of the 17 studies included, 8 provided results about measures of adiposity (3 on weight change, 4 on body mass index (BMI), 2 on percent body fat, and 1 on abdominal obesity), 6 reported results about T2DM, and 3 reported on different CVD outcomes. High SSB consumption was significantly associated with greater weight gain and with a higher risk of selected CVD outcomes as compared with low consumption. In the meta-analysis, high SSB consumption was associated with greater T2DM risk before (RR, 1.51; 95%CI, 1.15–1.98 for highest vs lowest category; I 2 = 76%) and after (RR, 1.38; 95%CI, 1.09–1.73; I 2 = 56%) adjustment for BMI. Conclusions These findings suggest that high SSB consumption is directly associated with weight gain, risk of T2DM, and, possibly, selected CVD outcomes in Asian populations. Public health strategies to reduce SSB consumption in Asian countries are warranted. Systematic Review Registration PROSPERO registration no. CRD42019129456.Keywords : adiposity. cardiovascular disease , Asia, sugar-sweetened beverages , type 2 diabetes. [ABSTRACT FROM AUTHOR]

With emerging Asian-derived diet quality indices and data-driven dietary patterns available, we aimed to synthesize the various dietary patterns and quantify its association with cardiovascular diseases (CVDs) among Asian populations. We systematically searched PubMed, Embase, Scopus, and Web of Science for observational studies in South, Southeast, and East Asia. Dietary patterns were grouped "high-quality," which included high intakes of three or more of the following food groups: 1) fruits and vegetables, 2) whole grains, 3) healthy protein sources (legumes and nuts, fish and seafood, low-fat dairy, and lean meat and poultry), and 4) liquid plant oils. High-quality patterns were further subcategorized based on their derivation methods: non-Asian indices, Asian indices, data-driven patterns, and plant-based indices. Dietary patterns were grouped "low-quality," which included high intakes of two or more of the following: 5) ultraprocessed food, 6) beverages and foods with added sugars, 7) foods high in salt, and 8) alcoholic beverages. Data-driven dietary patterns characterized by animal food sources were labeled "animal-based," and studies using dietary diversity scores were labeled "diet diversity indices." Dietary patterns that could not be meaningfully categorized were summarized narratively. Study-specific effect estimates were pooled using a random-effects model. Forty-one studies were included in this review. Higher adherence to high-quality dietary patterns in the top compared with bottom tertile defined by non-Asian indices (RR: 0.78; 95% CI: 0.69, 0.88; GRADE: moderate), Asian indices (RR: 0.84; 95% CI: 0.79, 0.90; GRADE: low), and data-driven patterns (RR: 0.81; 95% CI: 0.74, 0.89; GRADE: moderate) were associated with lower CVD risk. Plant-based, low-quality, animal-based, and diet diversity indices dietary patterns were not associated with CVD. Associations of Asian diet quality indices and CVD risk were weaker than those with non-Asian indices, highlighting the need for current Asian diet quality criteria to be updated to better capture the impact of diet on CVD. The systematic review and meta-analysis was registered at PROSPERO as CRD42021244318., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)