Yan Wei

4 weeks ago | nature.com | Jun Zeng |Yuting Qiu |Chengying Yang |Xiangyu Zhou |Chunxiang Zhang |Yang Long | +5 more

Depression is a common psychiatric symptom among patients with cardiovascular disease (CVD), adversely affecting their health. Despite the identification of various contributing factors, the precise mechanisms linking CVD and depression remain elusive. This study conducted a meta-analysis to investigate the association between CVD and depression. Furthermore, a bidirectional Mendelian randomization (MR) analysis was undertaken to clarify the causal relationship between the two conditions. The meta-analysis included 39 studies, encompassing 63,444 patients with CVD, 12,308 of whom were diagnosed with depression. The results revealed a significant association between CVD and depression or anxiety, with an estimated overall prevalence of depression in CVD patients of 20.8%. Subgroup analyses showed that the prevalence of depression in patients with coronary artery disease and heart failure was 19.8% and 24.7%, respectively. According to a random-effects model, depressive symptoms were linked to an increase in unadjusted all-cause mortality compared with non-depressed patients. The MR analysis, employing the inverse-variance weighted method as the primary tool for causality assessment, identified significant associations between various CVD types and depression or anxiety phenotypes. These findings underscore the significant relationship between CVD and depression or anxiety, leading to an elevated risk of all-cause mortality. Moreover, the MR analysis provides the first genetically-informed evidence suggesting that depression plays a critical role in the development and progression of certain CVD subtypes. This emphasizes the need for addressing depressive symptoms in CVD patients to prevent or reduce adverse cardiovascular outcomes.

Jan 2, 2025 | pubs.rsc.org | Yan Wei

A highly sensitive photoelectrochemical sensor for the detection of theophylline based on polydopamine nanaospheres-gold nanoparticles nanocomposite photoelectrocatalytic activity A label-free photoelectrochemical (PEC) sensor for detecting theophylline (TP) was exploited based on polydopamine nanospheres (PDS)-gold nanoparticles (AuNPs) nanocomposite modified electrodes.

Nov 22, 2024 | nature.com | Yan Wei |Hewei Zhao |Xuliang Deng

AbstractTooth enamel, and especially the outer tooth enamel, is a load-resistant shell that benefits mastication but is easily damaged, driving the need for enamel-restorative materials with comparable properties to restore the mastication function and protect the teeth. Synthesizing an enamel analog that mimics the components and hierarchical structure of natural tooth enamel is a promising way to achieve these comparable mechanical properties, but it is still challenging to realize.

Nov 9, 2023 | journals.plos.org | Yan Wei |Xili Rao |Huiling Chen |Yinjun Fu

Loading metrics Open Access Peer-reviewedResearch Article Citation: Wei Y, Rao X, Fu Y, Song L, Chen H, Li J (2023) Machine learning prediction model based on enhanced bat algorithm and support vector machine for slow employment prediction. PLoS ONE 18(11): e0294114. https://doi.org/10.1371/journal.pone.0294114Editor: A. L. Mahfoodh, UNITEN: Universiti Tenaga Nasional, MALAYSIAReceived: May 2, 2023; Accepted: October 23, 2023; Published: November 9, 2023Copyright: © 2023 Wei et al.

Oct 17, 2023 | mdpi.com | Qiao Xu |Hailiang Xu |Yan Wei |Aishajiang Aili

3. Results 3.1. Vegetation Growth under Different Supplementary Planting MethodsAfter two years of planting, we observed that the surface vegetation coverage, vegetation height, vegetation density, and aboveground biomass under the methods M1 and M2 were significantly higher than those under the contrast area (p < 0.01), indicating that both replanting methods can promote significant improvement in the growth status of surface vegetation.