Oxidative Stress-Driven Transcriptomic Remodeling in Human Astrocytes Reveals Network Signatures Associated with Neurodegenerative and Cardiovascular Processes

  • Patricia M. Bota
  • , Pol Picón-Pagès
  • , Hugo Fanlo-Ucar
  • , Saja Almabhouh
  • , Oriol Bagudanch
  • , Melisa E. Zeylan
  • , Simge Senyuz
  • , Patrick Gohl
  • , Rubén Molina-Fernández
  • , Narcis Fernandez-Fuentes
  • , Eduard Barbu
  • , Raul Vicente
  • , Stanley Nattel
  • , Angel Ois
  • , Albert Puig-Pijoan
  • , Jordi Garcia-Ojalvo
  • , Ozlem Keskin
  • , Attila Gursoy
  • , Francisco J. Muñoz
  • , Baldomero Oliva

Research output: Contribution to journalArticlepeer-review

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Abstract

Astrocytes are central to brain homeostasis, supporting neuronal metabolism, synaptic activity, and the blood–brain barrier. With aging, these glial cells undergo molecular and functional changes that weaken support functions and promote neuroinflammation, contributing to neurodegeneration. Yet the systems-level mechanisms by which astrocytes respond to aging-related stressors remain poorly defined in human models. Because aging also heightens risk for cardiovascular disease, cognitive impairment, type 2 diabetes, and systemic inflammation, clarifying shared astrocytic pathways is critical for understanding brain–body crosstalk. Using an in vitro human astrocyte model exposed to sublethal oxidative stress (10µM H₂O₂) as a proxy for age-related cellular stress, we profiled transcriptomic changes and identified differentially expressed genes across antioxidant defenses, proteostasis, transcriptional regulation, vesicular trafficking, and inflammatory signaling. We then performed network-prioritization analyses on a curated human protein–protein interactome: one seeded with the astrocyte oxidative stress responsive genes and six with phenotype-associated gene sets (Alzheimer’s disease, cardiovascular disease, cognitive impairment, type 2 diabetes, oxidative stress, and inflammation). Intersecting the top 5% scoring genes from each run yielded a 127-gene core shared across all seven, enriched for proteostasis, DNA repair, mitochondrial regulation, and telomere and nuclear envelope maintenance. Structure-guided analyses highlighted vulnerable interfaces, including lamin A/C–lamin B1, α-actinin–filamins, 14-3-3 dimers, and aminoacyl-tRNA synthetase assemblies, where pathogenic variants are predicted to destabilize or aberrantly stabilize protein interactions. Structure-based interface predictions also highlight potential interactions between amyloid precursor protein (APP) and valosin-containing protein (VCP), and between p53 and 14-3-3ζ, potentially linking proteostasis and stress signaling. Together, these analyses identify a conserved astrocyte-centered network signature that may relate neurodegenerative and cardiovascular processes, and prioritize structurally testable candidates for biomarker and intervention hypothesis testing.
Original languageEnglish
Pages (from-to)263-275
Number of pages13
JournalComputational and Structural Biotechnology Journal
Volume31
Early online date06 Jan 2026
DOIs
Publication statusE-pub ahead of print - 06 Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • aging-associated proteomic remodeling
  • oxidative stress-responsive astrocyte pathways
  • network-based gene disease prioritization
  • strucutrally vulnerable proteinprotein interfaces
  • neurodegeneration-cardiovascular disease crosstalk
  • astrocytic vulnerability networks
  • proteostasis and mitochondrial dysfunction
  • structure-guided variant impact prediction
  • telomere and nuclear envelope integrity

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