Oxidative stress-driven transcriptomic remodeling in human astrocytes reveals network signatures associated with neurodegenerative and cardiovascular processes

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 (10 µM 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.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2025-12-31
DOI
https://doi.org/10.1016/j.csbj.2025.12.032
Primary Topic
14-3-3 protein interactions
Type
article
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article

Oxidative stress-driven transcriptomic remodeling in human astrocytes reveals network signatures associated with neurodegenerative and cardiovascular processes

Rubén Molina-Fernández, Hugo Fanlo-Ucar, Melisa Ece Zeylan, Francisco J. Muñoz et al.
Computational and Structural Biotechnology Journal
14-3-3 protein interactions
article

Oxidative stress-driven transcriptomic remodeling in human astrocytes reveals network signatures associated with neurodegenerative and cardiovascular processes

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

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 (10 µM 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.

Computational and Structural Biotechnology JournalVol. 31
Koç University (TR), Aberystwyth University (GB), Universitat Pompeu Fabra (ES), Montreal Heart Institute (CA), Electrophysiology and Heart Modeling Institute (FR), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), Hospital Del Mar (ES), Institute of Biological, Environmental and Rural Sciences (GB), Institute for Bioengineering of Catalonia (ES), West German Heart and Vascular Center Essen (DE), University of Tartu (EE), Université de Montréal (CA), Universitat de Barcelona (ES)
Openalex Percentile: Top 35%
14-3-3 protein interactions
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