Proteomic Alterations in Retinal Müller Glial Cells Lacking Interleukin-6 Receptor: A Comprehensive Analysis.

Purpose: Interleukin-6 (IL-6) is an inflammatory cytokine implicated in various retinal pathologies and functions primarily through two signaling pathways: cis-signaling via IL-6 binding to its membrane-bound receptor (IL-6Rα), and trans-signaling via IL-6 binding to soluble IL-6 receptor (sIL-6R). Because the differential effects of IL-6 signaling in retinal Müller glial cells (MGCs) remain unclear, we generated an MGC-specific Il6ra-/- knockout (KO) mouse to eliminate IL-6Rα and, consequently, IL-6 cis-signaling in MGCs. In this study, we examined the proteomic changes in MGCs isolated from KO mice lacking a functional IL-6Rα.

Formative evaluation of the implementation of digital therapeutics for opioids and other substance use disorders in primary care (DIGITS trial).

Background: Substance use disorders (SUDs) result in individual and societal burden. However, most individuals with SUD receive no treatment. Implementing SUD interventions in primary care could address this population's treatment needs.

Confronting risks of mirror life.

Broad discussion is needed to chart a path forward.

Sex-specific DNA methylation differences in Amyotrophic lateral sclerosis.

Sex is an important covariate in all genetic and epigenetic research due to its role in the incidence, progression and outcome of many phenotypic characteristics and human diseases. Amyotrophic lateral sclerosis (ALS) is a motor neuron disease with a sex bias towards higher incidence in males. Here, we report for the first time a blood-based epigenome-wide association study meta-analysis in 9274 individuals after stringent quality control (5529 males and 3975 females).

Obfuscation via pitch-shifting for balancing privacy and diagnostic utility in voice-based cognitive assessment.

Introduction: Digital voice analysis is gaining traction as a tool to differentiate cognitively normal from impaired individuals. However, voice data poses privacy risks due to the potential identification of speakers by automated systems.

Methods: We developed a framework that uses weighted linear interpolation of privacy and utility metrics to balance speaker obfuscation and cognitive integrity in cognitive assessments.