Zoom & WhatsApp Digital Information and Communication Technologies (ICTs) Enhance Community Engaged Research with Women Immigrants from Mexico.

This article demonstrates how digital information and communication technologies (ICTs) (Zoom/WhatsApp) unexpectedly and counterintuitively proved to be valuable tools for community-engaged health research when, in the context of the COVID-19 pandemic, they were integrated into a research study testing a peer support group intervention with female immigrants from Mexico. Because of pandemic restrictions, we changed the study protocol to hold meetings remotely via Zoom rather than in person as originally planned. Because we recognized that this would lack some opportunities for participants to interact and develop relationships, we created a WhatsApp chat for each group.

SEDA 2024 update: enhancing the SEquence DAtaset builder for seamless integration into automated data analysis pipelines.

Background: The initial version of SEDA assists life science researchers without programming skills with the preparation of DNA and protein sequence FASTA files for multiple bioinformatics applications. However, the initial version of SEDA lacks a command-line interface for more advanced users and does not allow the creation of automated analysis pipelines.

Results: The present paper discusses the updates of the new SEDA release, including the addition of a complete command-line interface, new functionalities like gene annotation, a framework for automated pipelines, and improved integration in Linux environments.

MyBrain-Seq: A Pipeline for MiRNA-Seq Data Analysis in Neuropsychiatric Disorders.

High-throughput sequencing of small RNA molecules such as microRNAs (miRNAs) has become a widely used approach for studying gene expression and regulation. However, analyzing miRNA-Seq data can be challenging because it requires multiple steps, from quality control and preprocessing to differential expression and pathway-enrichment analyses, with many tools and databases available for each step. Furthermore, reproducibility of the analysis pipeline is crucial to ensure that the results are accurate and reliable.

MiRNA Differences Related to Treatment-Resistant Schizophrenia.

Schizophrenia (SZ) is a serious mental disorder that is typically treated with antipsychotic medication. Treatment-resistant schizophrenia (TRS) is the condition where symptoms remain after pharmacological intervention, resulting in long-lasting functional and social impairments. As the identification and treatment of a TRS patient requires previous failed treatments, early mechanisms of detection are needed in order to quicken the access to effective therapy, as well as improve treatment adherence.

A Study of a Culturally and Contextually Situated Multimedia Approach to Recruit a Hard-to-Reach Spanish-Speaking Population for a Randomized Control Trial (RCT).

Study designs involving randomization can be difficult to communicate to participants, especially those with low literacy. The literature on strategies to explain research concepts is limited, especially for non-English speakers. We measured the effectiveness of a culturally and contextually situated multimedia approach to recruit a cohort of 60 female Mexican immigrants (FMI) to a randomized control trial (RCT) to reduce social isolation and depression.

Microglia: The Real Foe in HIV-1-Associated Neurocognitive Disorders?

The current use of combined antiretroviral therapy (cART) is leading to a significant decrease in deaths and comorbidities associated with human immunodeficiency virus type 1 (HIV-1) infection. Nonetheless, none of these therapies can extinguish the virus from the long-lived cellular reservoir, including microglia, thereby representing an important obstacle to curing HIV. Microglia are the foremost cells infected by HIV-1 in the central nervous system (CNS) and are believed to be involved in the development of HIV-1-associated neurocognitive disorder (HAND).

Application of miRNA-seq in neuropsychiatry: A methodological perspective.

MiRNAs are emerging as key molecules to study neuropsychiatric diseases. However, despite the large number of methodologies and software for miRNA-seq analyses, there is little supporting literature for researchers in this area. This review focuses on evaluating how miRNA-seq has been used to study neuropsychiatric diseases to date, analyzing both the main findings discovered and the bioinformatics workflows and tools used from a methodological perspective.