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Новости за 03.07.2024

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Co-production of research derived actionable resources for the delivery of Individual Service Funds (EQUALD study): Protocol

Plos.org 
En

by Alice Dunning, Clare Tarling, Liz Croot

Adults with a learning disability who receive social care are legally entitled to a personal budget. Personal budgets were introduced to promote choice and control in support. Individual Service Funds were introduced as a flexible way that personal budgets can be managed by a provider while maintaining choice and control for the individual. Individual Service Funds have been shown to improve quality of life for individuals and efficiency in support. Читать дальше...

Perturbations in gut microbiota composition in schizophrenia

Plos.org 
En

by YiMeng Wang, SiGuo Bi, XiaoLong Li, YuTao Zhong, DongDong Qi

Schizophrenia is a severe, complex and long-term psychiatric disorder with unclear etiology. Gut microbes influence the central nervous system via the gut-brain axis. Consequently, investigations of the relationship between gut microbes and schizophrenia are warranted. This study involved 29 patients with schizophrenia and 30 age-matched normal controls. After 16S rRNA gene sequencing and whole-genome shotgun metagenomic sequencing... Читать дальше...

Risks of anxiety disorders, depressive disorders, and sleep disorders in patients with dengue fever: A nationwide, population-based cohort study

Plos.org 
En

by Hsin-I Shih, Yu-Ping Wang, Chia-Yu Chi, Yu-Wen Chien

Background

Dengue virus (DENV) infection, a common mosquito-borne disease, has been linked to several mental disorders like depression and anxiety. However, the temporal risk of these disorders after DENV infection is not well studied.

Methods

This population-based cohort study encompassed 45,334 recently lab-confirmed dengue patients in Taiwan spanning 2002 to 2015, matched at a 1:5 ratio with non-dengue individuals based on age, gender, and residence (n = 226,670). Читать дальше...

A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data

Plos.org 
En

by Bin Liu, Bodo Rosenhahn, Thomas Illig, David S. DeLuca

Interpreting transcriptome data is an important yet challenging aspect of bioinformatic analysis. While gene set enrichment analysis is a standard tool for interpreting regulatory changes, we utilize deep learning techniques, specifically autoencoder architectures, to learn latent variables that drive transcriptome signals. We investigate whether simple, variational autoencoder (VAE), and beta-weighted VAE are capable of learning reduced... Читать дальше...