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Published on: May 5, 2022
Network Destabilization in Aging: Mitochondrial Dysfunction, Nutrient Sensing, and Chronic Inflammation as
1Department of Functional Anatomy and Cytobiology, Institute of Biological Sciences, Maria Curie-Skłodowska University, Akademicka 19, 20-033 Lublin, Poland.
Molecules (Basel, Switzerland)
|July 15, 2026
Summary
Aging drives chronic diseases through destabilizing regulatory networks. Targeting core network nodes like mitochondria and NAD+ may offer system-wide benefits for aging and disease.
Area of Science:
- Gerontology and Systems Biology
- Mitochondrial Biology
- Inflammology
Background:
- Aging is the primary risk factor for numerous chronic diseases, but the underlying mechanisms linking them are not fully understood.
- Current aging frameworks identify key hallmarks but don't fully explain organism-level decline and multimorbidity.
- A systems-level perspective is needed to integrate aging processes across biological scales.
Purpose of the Study:
- To introduce a systems-level framework conceptualizing aging as progressive destabilization of interacting regulatory networks.
- To propose a high-centrality network core involving mitochondrial quality control, nutrient-sensing, and inflammatory signaling.
- To provide a mechanistic basis for the convergence of various age-related diseases.
Main Methods:
- This is a narrative and conceptual review integrating evidence from mitochondrial biology, metabolic signaling, and inflammatory pathways.
- The study proposes a hypothesis-generating framework, not a formally validated model.
- Evidence is synthesized to support the concept of aging as network destabilization.
Main Results:
- Aging is framed as the progressive destabilization of interacting regulatory networks, with a core network involving mitochondria, nutrient sensing, and inflammation.
- Network instability explains the convergence of diverse age-related diseases (neurodegenerative, cardiovascular, metabolic, oncological).
- Reframing aging hallmarks as network nodes emphasizes system-level resilience and non-linear dynamics.
Conclusions:
- Targeting high-centrality network nodes (e.g., mTOR, NAD+, mitophagy, inflammation) may yield system-wide benefits for aging and disease.
- Interventions may reconfigure network dynamics for broader effects than single-pathway corrections.
- Biomarker-stratified, network-calibrated interventions could provide a more comprehensive therapeutic strategy for aging-related conditions.
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