Characterization of 3,3'-iminodipropionitrile (IDPN) damaged utricle transcriptome in the adult mouse utricle.

Utricle is an important vestibular sensory organ for maintaining balance. 3,3'-iminodipropionitrile (IDPN), a prototype nitrile toxin, has been reported to be neurotoxic and vestibulotoxic, and can be used to establish an damage model of vestibular dysfunction. However, the mechanism of utricular HCs damage caused by IDPN is unclear.

Exploration and evaluation of adverse event signals of droxidopa based on the FAERS database.

Background: This study aims to utilize the FDA's Adverse Event Reporting System (FAERS) for data analysis to explore the potential adverse events associated with Droxidopa in real-world settings, thereby providing reference information for clinical practice.

Methods: Adverse event reports where Droxidopa was the primary suspected drug were collected from the FAERS database from the third quarter of 2014 to the fourth quarter of 2023. Multiple signal quantification techniques were employed, including ROR, PRR, BCPNN, and MGPS.

Nuclear receptor PPARγ targets GPNMB to promote oligodendrocyte development and remyelination.

Myelin injury occurs in brain ageing and in several neurological diseases. Failure of spontaneous remyelination is attributable to insufficient differentiation of oligodendrocyte precursor cells (OPCs) into mature myelin-forming oligodendrocytes in CNS demyelinated lesions. Emerging evidence suggests that peroxisome proliferator-activated receptor γ (PPARγ) is the master gatekeeper of CNS injury and repair and plays an important regulatory role in various neurodegenerative diseases.

Unveiling Schizophrenia: a study with generalized functional linear mixed model via the investigation of functional random effects.

Previous studies have identified attenuated pre-speech activity and speech sound suppression in individuals with Schizophrenia, with similar patterns observed in basic tasks entailing button-pressing to perceive a tone. However, it remains unclear whether these patterns are uniform across individuals or vary from person to person. Motivated by electroencephalographic (EEG) data from a Schizophrenia study, we develop a generalized functional linear mixed model (GFLMM) for repeated measurements by incorporating subject-specific functional random effects associated with multiple functional predictors.