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  1. Wada T, Mori-Anai K, Kawaguchi Y, Katsumata H, Tsuda H, Iida M, et al.
    J Diabetes Investig, 2022 Jan;13(1):54-64.
    PMID: 34212533 DOI: 10.1111/jdi.13624
    AIMS/INTRODUCTION: The sodium-glucose cotransporter 2 inhibitor, canagliflozin, reduced kidney failure and cardiovascular events in the Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) trial. We carried out a post-hoc analysis to evaluate the efficacy and safety of canagliflozin in a subgroup of participants in East and South-East Asian (EA) countries who are at high risk of renal complications.

    MATERIALS AND METHODS: Participants with an estimated glomerular filtration rate of 30 to <90 mL/min/1.73 m2 and urinary albumin-to-creatinine ratio of >300-5,000 mg/g were randomized to 100 mg of canagliflozin or a placebo. The effects of canagliflozin treatment on pre-specified efficacy and safety outcomes were examined using Cox proportional hazards regression between participants from EA countries (China, Japan, Malaysia, the Philippines, South Korea and Taiwan) and the remaining participants.

    RESULTS: Of 4,401 participants, 604 (13.7%) were from EA countries; 301 and 303 were assigned to the canagliflozin and placebo groups, respectively. Canagliflozin lowered the risk of primary outcome (composite of end-stage kidney disease, doubling of serum creatinine level, or renal or cardiovascular death) in EA participants (hazard ratio 0.54, 95% confidence interval 0.35-0.84). The effects of canagliflozin on renal and cardiovascular outcomes in EA participants were generally similar to those of the remaining participants. Safety outcomes were similar between the EA and non-EA participants.

    CONCLUSIONS: In the CREDENCE trial, the risk of renal and cardiovascular events was safely reduced in participants from EA countries at high risk of renal events.

  2. Tokudome S, Ando R, Ghadimi R, Tanaka T, Hattori N, Yang Z, et al.
    Asian Pac J Cancer Prev, 2007 Mar;8(3):462-3.
    PMID: 18159988
    The great variability in gastric cancer rates across Asia, with very high incidences in Japan and Korea, and exceedingly low incidences in ethnic Malays, whether in Malaysia or Indonesia, appears largely due to variation in Helicobacter pylori infection rates. While between 2% and 10.6% of gastric cancers in a recent Japanese survey were considered to be negative for bacterial infection on the basis of seropositivity and H. pylori-dependent mucosal atrophy, it is notoriously difficult to preclude past infection. The situation is greatly complicated by reported differences in the etiology of gastric cardia and non-cardia cancers. In the Western world there do appear to be tumours arising close to the esophageal-gastric junction which are not related to H. pylori and associated inflammation, but in most Asian populations these appear to be very rare. Therefore preventive efforts, and particularly screening, should be focused on markers of bacterial infection, with avoidance of unnecessary exposure to X-ray radiation.
  3. Vos RA, Katayama T, Mishima H, Kawano S, Kawashima S, Kim JD, et al.
    F1000Res, 2020;9:136.
    PMID: 32308977 DOI: 10.12688/f1000research.18236.1
    We report on the activities of the 2015 edition of the BioHackathon, an annual event that brings together researchers and developers from around the world to develop tools and technologies that promote the reusability of biological data. We discuss issues surrounding the representation, publication, integration, mining and reuse of biological data and metadata across a wide range of biomedical data types of relevance for the life sciences, including chemistry, genotypes and phenotypes, orthology and phylogeny, proteomics, genomics, glycomics, and metabolomics. We describe our progress to address ongoing challenges to the reusability and reproducibility of research results, and identify outstanding issues that continue to impede the progress of bioinformatics research. We share our perspective on the state of the art, continued challenges, and goals for future research and development for the life sciences Semantic Web.
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