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Review

The Inflammaging-Redox-InflammamiR Axis in Metabolic Aging: From Diagnostic Clusters to Integrated Risk Phenotypes

by
Nurzhanyat Ablaikhanova
1,†,
Ingkar Okhas
1,†,
Aidos Bolatov
2,3,
Beibarys Mukhitdin
3,4,
Zhazira Zhunusbayeva
5,
Gulmira Assan
1,6,
Marzhan Kulbayeva
1,
Anar Tolebaeva
1,
Arailym Yessenbekova
1,* and
Iryna Rusanova
7,8,9,10,*
1
Department of Biophysics, Biomedicine and Neuroscience, Farabi University, 050000 Almaty, Kazakhstan
2
Department of Science, “University Medical Center” Corporate Fund, 010000 Astana, Kazakhstan
3
Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China
4
Laboratory of Environmental Physiology of Humans and Animals, Institute of Genetics and Physiology, 050000 Almaty, Kazakhstan
5
Department of Molecular Biology and Genetics, Farabi University, 050000 Almaty, Kazakhstan
6
Department of Normal Physiology with the Course of Biophysics, Asfendiyarov Kazakh National Medical University, 050000 Almaty, Kazakhstan
7
Department of Biochemistry and Molecular Biology I, Faculty of Science, University of Granada, 18019 Granada, Spain
8
Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
9
Centro de Investigación Biomédica, ParqueTecnológico de Ciencias de la Salud, Universidad de Granada, 18016 Granada, Spain
10
Instituto de Investigación Biosanitaria (IBS Granada), Hospital Unversitario San Cecilio, 18016 Granada, Spain
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Biomolecules 2026, 16(7), 1008; https://doi.org/10.3390/biom16071008
Submission received: 30 May 2026 / Revised: 3 July 2026 / Accepted: 8 July 2026 / Published: 10 July 2026
(This article belongs to the Section Molecular Biomarkers)

Abstract

Age-associated metabolic dysfunction is commonly defined by abnormalities in adiposity, glucose regulation, lipid metabolism, and blood pressure. Although clinically useful, these criteria do not fully capture the biological heterogeneity that explains why older adults with similar metabolic profiles may follow divergent trajectories toward type 2 diabetes, cardiovascular disease, metabolic dysfunction-associated steatotic liver disease, frailty or multimorbidity. This narrative Review summarizes clinical, translational, and mechanistic evidence on the biological processes that shape metabolic aging, with particular emphasis on inflammaging, immunosenescence, cellular senescence, oxidative stress, mitochondrial dysfunction, adipose tissue dysfunction, endothelial injury, and inflammation-related microRNAs. We first discuss how chronic low-grade inflammation and immune remodeling alter the interpretation of conventional metabolic syndrome components in older adults. We then review redox imbalance and mitochondrial stress as amplifiers of insulin resistance, lipid injury, vascular dysfunction, and tissue remodeling. The review also examines inflammation-related microRNAs, including circulating and extracellular-vesicle-associated miRNAs, as post-transcriptional regulators that may connect inflammatory, metabolic, and redox pathways. Finally, we discuss how conventional metabolic markers may be integrated with inflammatory mediators, oxidative-stress indicators, adipokines, endothelial and senescence-related markers, and miRNA profiles to improve biological interpretation of metabolic risk. Within this context, we present the Inflammaging–Redox–InflammamiR Axis as a conceptual framework for organizing these overlapping mechanisms rather than as an established diagnostic or causal model. The proposed biomarker tiers and candidate risk phenotypes are author-derived, hypothesis-generating constructs intended to guide future longitudinal and interventional research. Clinical translation will require standardized assays, longitudinal validation, external replication, and intervention studies.
Keywords: inflammaging; oxidative stress; InflammamiRs; metabolic syndrome; aging; MicroRNAs; biomarkers inflammaging; oxidative stress; InflammamiRs; metabolic syndrome; aging; MicroRNAs; biomarkers

Share and Cite

MDPI and ACS Style

Ablaikhanova, N.; Okhas, I.; Bolatov, A.; Mukhitdin, B.; Zhunusbayeva, Z.; Assan, G.; Kulbayeva, M.; Tolebaeva, A.; Yessenbekova, A.; Rusanova, I. The Inflammaging-Redox-InflammamiR Axis in Metabolic Aging: From Diagnostic Clusters to Integrated Risk Phenotypes. Biomolecules 2026, 16, 1008. https://doi.org/10.3390/biom16071008

AMA Style

Ablaikhanova N, Okhas I, Bolatov A, Mukhitdin B, Zhunusbayeva Z, Assan G, Kulbayeva M, Tolebaeva A, Yessenbekova A, Rusanova I. The Inflammaging-Redox-InflammamiR Axis in Metabolic Aging: From Diagnostic Clusters to Integrated Risk Phenotypes. Biomolecules. 2026; 16(7):1008. https://doi.org/10.3390/biom16071008

Chicago/Turabian Style

Ablaikhanova, Nurzhanyat, Ingkar Okhas, Aidos Bolatov, Beibarys Mukhitdin, Zhazira Zhunusbayeva, Gulmira Assan, Marzhan Kulbayeva, Anar Tolebaeva, Arailym Yessenbekova, and Iryna Rusanova. 2026. "The Inflammaging-Redox-InflammamiR Axis in Metabolic Aging: From Diagnostic Clusters to Integrated Risk Phenotypes" Biomolecules 16, no. 7: 1008. https://doi.org/10.3390/biom16071008

APA Style

Ablaikhanova, N., Okhas, I., Bolatov, A., Mukhitdin, B., Zhunusbayeva, Z., Assan, G., Kulbayeva, M., Tolebaeva, A., Yessenbekova, A., & Rusanova, I. (2026). The Inflammaging-Redox-InflammamiR Axis in Metabolic Aging: From Diagnostic Clusters to Integrated Risk Phenotypes. Biomolecules, 16(7), 1008. https://doi.org/10.3390/biom16071008

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