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The article offers information on the study conducted by the authors related to the footprint of Asian monsoon dynamics in the mass and energy balance of a Tibetan glacier. It states that changes in the Asian monsoon climate and associated glacier responses have become predominant topics of climate research. Despite the heterogeneous glacier changes on the Tibetan Plateau, which result from interacting large-scale atmospheric flows and local relief factors.

Introduction: Bariatric surgery has grown in popularity over the past two decades, especially in the Asia-Pacific. Correspondingly, researchers' interest in this field has also increased. This study aims to perform a bibliometric analysis of publications from Asia-Pacific represented by the International Federation for the Surgery of Obesity and Metabolic Disorders Asia-Pacific Chapter (IFSO-APC) and investigate the relevant factors that might affect the publications., Methods: The search terms for bariatric surgery were searched in Web of Science focusing on the period 2000-2021. Bibliometric analysis was performed after screening the search results. Univariate and multivariate regression analyses were performed on the number of publications and corresponding indicators obtained from official agencies., Results: A total of 9,547 publications in IFSO-APC were retrieved, of which China had the largest number with 2,782 publications. Authors and journals with major contributions were listed. The authors' or affiliations' cooperation networks mainly were limited to domestic. "Bariatric surgery" was the most frequent keyword with 2,063 times and also the largest cluster. "Morbid obesity" was the strongest citation bursts. Multivariate analysis found that the number of publications in each country/region was associated with body mass index ≥25 kg/m2, gross domestic product, and total population., Conclusion: Generally, Asia-Pacific represented by IFSO-APC scientific publications on bariatric surgery has grown significantly in the last two decades, but cooperation between countries/regions should be strengthened. "Morbid obesity" is the focus and frontier of research in this field., (© 2023 The Author(s). Published by S. Karger AG, Basel.)

Dengue transmission is climate-sensitive and permissive conditions regularly cause large outbreaks in Asia-Pacific area. As climate change progresses, extreme weather events such as heatwaves and unusually high rainfall are predicted more intense and frequent, but their impacts on dengue outbreaks remain unclear so far. This paper aimed to investigate the relationship between extreme weather events (i.e., heatwaves, extremely high rainfall and extremely high humidity) and dengue outbreaks in China. We obtained daily number of locally acquired dengue cases and weather factors for Guangzhou, China, for the period 2006-2015. The definition of dengue outbreaks was based on daily number of locally acquired cases above the threshold (i.e., mean + 2SD of daily distribution of dengue cases during peaking period). Heatwave was defined as ≥2 days with temperature ≥ 95th percentile, and extreme rainfall and humidity defined as daily values ≥95th percentile during 2006-2015. A generalized additive model was used to examine the associations between extreme weather events and dengue outbreaks. Results showed that all three extreme weather events were associated with increased risk of dengue outbreaks, with a risk increase of 115-251% around 6 weeks after heatwaves, 173-258% around 6-13 weeks after extremely high rainfall, and 572-587% around 6-13 weeks after extremely high humidity. Each extreme weather event also had good capacity in predicting dengue outbreaks, with the model's sensitivity, specificity, accuracy, and area under the receiver operating characteristics curve all exceeding 86%. This study found that heatwaves, extremely high rainfall, and extremely high humidity could act as potential drivers of dengue outbreaks.

The Asian Diversity Project (ADP) assembled 37 cosmopolitan and ethnic minority populations in Asia that have been densely genotyped across over half a million markers to study patterns of genetic diversity and positive natural selection. We performed population structure analyses of the ADP populations and divided these populations into four major groups based on their genographic information. By applying a highly sensitive algorithm haploPS to locate genomic signatures of positive selection, 140 distinct genomic regions exhibiting evidence of positive selection in at least one population were identified. We examined the extent of signal sharing for regions that were selected in multiple populations and observed that populations clustered in a similar fashion to that of how the ancestry clades were phylogenetically defined. In particular, populations predominantly located in South Asia underwent considerably different adaptation as compared with populations from the other geographical regions. Signatures of positive selection present in multiple geographical regions were predicted to be older and have emerged prior to the separation of the populations in the different regions. In contrast, selection signals present in a single population group tended to be of lower frequencies and thus can be attributed to recent evolutionary events.

Emerging evidence shows that interleukin (IL)-10 gene polymorphisms can regulate its expression level and thus influence person's susceptibility to preeclampsia. However, various published results were inconsistent. To explore the association between maternal IL-10 gene polymorphisms and preeclampsia, we performed a meta-analysis based upon 11 individual studies here. Our meta-analysis results indicated that IL-10 -819 C/T (C versus T, OR = 1.28, 95% CI = 1.08-1.50, P = 0.003) and -592 C/A (C versus A, OR = 1.28, 95% CI = 1.03-1.59, P = 0.03) polymorphisms were associated with preeclampsia. Although there was no overall association between -1082 A/G polymorphism and preeclampsia (G versus A, OR = 0.93, 95% CI = 0.77-1.13, P = 0.49), such association existed among Asian (G versus A, OR = 1.29, 95% CI = 1.04-1.60, P = 0.02) and South American (G versus A, OR = 0.72, 95% CI = 0.54-0.94, P = 0.02) populations in the subgroup analysis stratified by continents., (© 2014 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.)