Publications by authors named "Y G Xiao"

Background: Hypertension (HTN) is a global public health concern and a major risk factor for cardiovascular disease (CVD) and mortality. Insulin resistance (IR) plays a crucial role in HTN-related metabolic dysfunction, but its assessment remains challenging. The triglyceride-glucose (TyG) index and its derivatives (TyG-BMI, TyG-WC, and TyG-WHtR) have emerged as reliable IR markers.

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Yutangba, situated in Enshi City, Hubei Province, is globally noted for its high selenium (Se) content. Soil invertebrates are essential to the functionality and services of terrestrial ecosystems, yet their community composition in this region remains under-explored. This study utilized environmental DNA metabarcoding to investigate the interrelations among environmental factors, soil invertebrate diversity, and community characteristics concerning soil Se content, pH, and moisture content in the region.

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The benefits of exercise for metabolic health occur in a dose-dependent manner. However, the adverse effects of overtraining and their underlying mechanisms remain unclear. Here, we show that overtraining induces hepatic fibrosis.

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Purpose: To examine the relationship between dyadic coping and dyadic adjustment in patients with cervical cancer and their spouses in northwest China, and explore the mediating role of psychological resilience in this relationship.

Methods: A cross-sectional study was conducted from June to October 2024 in two tertiary hospitals in Xinjiang Province, China; 260 patients with cervical cancer and their spouses were enrolled. Participants independently completed demographic and clinical questionnaires as well as Chinese versions of the Resilience Scale, Dyadic Coping Inventory, and Locke-Wallace Marital Adjustment Scale.

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Background: Vascular aging is the basis of many chronic diseases of the aged, such as hypertension, coronary heart disease and stroke.

Objective: This study aims to deepen our understanding of the pathological mechanisms of vascular aging by combining multiple big data research methods, and reveal potential therapeutic targets and biomarkers.

Methods: WGCNA method was used to integrate the aortic transcriptome data of multiple age stages, and extract the key module and key pathway.

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