Next Article in Journal
Structure-Forming Potential of Plant Components in the Reformulation of Composite Films Produced from Citrus Pectin and Vegetable Purée
Previous Article in Journal
Physicochemical, Phytochemical, and Toxicological Assessment of Agrimonia pilosa, Calendula arvensis, and Polygonum hydropiper Tinctures with Hypoglycemic Potential
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Network Destabilization in Aging: Mitochondrial Dysfunction, Nutrient Sensing, and Chronic Inflammation as Interconnected Drivers

Department of Functional Anatomy and Cytobiology, Institute of Biological Sciences, Maria Curie-Skłodowska University, Akademicka 19, 20-033 Lublin, Poland
Molecules 2026, 31(13), 2317; https://doi.org/10.3390/molecules31132317
Submission received: 27 May 2026 / Revised: 29 June 2026 / Accepted: 30 June 2026 / Published: 1 July 2026

Abstract

Aging is the dominant risk factor for most chronic diseases, yet the mechanisms driving this relationship remain poorly integrated across biological scales. Existing frameworks have catalogued key hallmarks of aging but do not explain how these processes converge to produce organism-level decline and multimorbidity. A systems-level framework is introduced in which aging is conceptualized as progressive destabilization of interacting regulatory networks. Mitochondrial quality control, nutrient-sensing pathways, and chronic inflammatory signaling form a putative high-centrality network core: mitochondria coordinate redox balance, bioenergetics, and transcriptional adaptation, while NAD+-dependent signaling and NLRP3 inflammasome activation propagate perturbations across regulatory layers. This architecture provides a mechanistic basis for the convergence of neurodegenerative, cardiovascular, metabolic, and oncological phenotypes as emergent consequences of shared network instability. Reframing the hallmarks as coupled network nodes shifts the explanatory focus from isolated mechanisms to system-level resilience and non-linear dynamics. This narrative and conceptual review integrates evidence across mitochondrial biology, metabolic signaling, and inflammatory pathways to develop these arguments, with explicit acknowledgment that the proposed framework is hypothesis-generating rather than formally validated. Interventions targeting high-centrality nodes, including mTOR modulation, NAD+ restoration, mitophagy activation, and anti-inflammatory strategies, may exert system-wide effects by reconfiguring network dynamics rather than correcting individual pathways. This perspective suggests that biomarker-stratified, network-calibrated interventions may offer a broader systems-level therapeutic rationale than single-pathway approaches.
Keywords: aging; integrative biology; network medicine; mitochondria; mitophagy; NAD+ metabolism; chronic inflammation; multimorbidity aging; integrative biology; network medicine; mitochondria; mitophagy; NAD+ metabolism; chronic inflammation; multimorbidity
Graphical Abstract

Share and Cite

MDPI and ACS Style

Rzeski, W. Network Destabilization in Aging: Mitochondrial Dysfunction, Nutrient Sensing, and Chronic Inflammation as Interconnected Drivers. Molecules 2026, 31, 2317. https://doi.org/10.3390/molecules31132317

AMA Style

Rzeski W. Network Destabilization in Aging: Mitochondrial Dysfunction, Nutrient Sensing, and Chronic Inflammation as Interconnected Drivers. Molecules. 2026; 31(13):2317. https://doi.org/10.3390/molecules31132317

Chicago/Turabian Style

Rzeski, Wojciech. 2026. "Network Destabilization in Aging: Mitochondrial Dysfunction, Nutrient Sensing, and Chronic Inflammation as Interconnected Drivers" Molecules 31, no. 13: 2317. https://doi.org/10.3390/molecules31132317

APA Style

Rzeski, W. (2026). Network Destabilization in Aging: Mitochondrial Dysfunction, Nutrient Sensing, and Chronic Inflammation as Interconnected Drivers. Molecules, 31(13), 2317. https://doi.org/10.3390/molecules31132317

Article Metrics

Back to TopTop