Multidimensional informatic deconvolution defines gender-specific roles of hypothalamic GIT2 in aging trajectories

Area of Science:

• Genomics and aging research
• Neuroendocrinology
• Comparative physiology

Background:

• Females generally exhibit longer lifespans than males across species.
• Understanding the genetic and molecular basis of female longevity may reveal novel anti-aging targets.
• The hypothalamus plays a crucial role in regulating somatic aging.

Purpose of the Study:

• To investigate transcriptomic differences in the hypothalamus between male and female mice under aging perturbation (GIT2 heterozygosity).
• To identify sex-specific molecular mechanisms underlying resilience to aging.
• To explore novel informatics approaches for analyzing transcriptomic data.

Main Methods:

• Transcriptomic analysis of hypothalami from GIT2 heterozygous mice (2 months old).
• Application of a natural language processing informatics pipeline for functional data clustering.
• Somatic metabolism analyses in living animals.

Main Results:

• GIT2 heterozygosity induced significant transcriptomic alterations in both sexes, with comparable numbers of affected transcripts.
• Female mice displayed greater dataset coherency and functional annotation representation.
• Females demonstrated enhanced resilience to pro-aging signaling pathways, prioritizing metabolic activity preservation.
• The informatics pipeline successfully identified functional data clusters and corroborated findings with metabolism analyses.

Conclusions:

• Female mice exhibit superior resilience to aging-related molecular perturbations compared to males.
• Prioritization of metabolic activity is a key female strategy for mitigating aging insults.
• Novel informatics approaches can effectively uncover sex-specific aging mechanisms and potential therapeutic targets.