Evidence map›Paper›PMID 43017738›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2026

Inflammaging as a Dynamic Process in Ageing: Context, Regulation and Functional Consequences.

Muhammad Ali, Hafiz Muhammad Irfan, Kanwal Asif, Chandra Sekhar Bhol, Gautam Sethi, Vinay Tergaonkar, Aqeel Mahmood

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Muhammad AliDepartment of Pharmacology, College of Pharmacy, University of Sargodha , 40100 Sargodha, Punjab, Pakistan.
Hafiz Muhammad IrfanDepartment of Pharmacology, College of Pharmacy, University of Sargodha , 40100 Sargodha, Punjab, Pakistan.ORCID 0000-0003-0572-2072
Kanwal AsifDepartment of Pharmacology, College of Pharmacy, University of Sargodha , 40100 Sargodha, Punjab, Pakistan.
Chandra Sekhar BholDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore , 117600 Singapore.
Gautam SethiDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore , 117600 Singapore.
Vinay TergaonkarLaboratory of NF-κB Signalling, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR) , 138673 Singapore.
Aqeel MahmoodDepartment of Pharmacy, Faculty of Health and Medical Sciences, Mirpur University of Science and Technology , 10224 Mirpur, Azad Jammu and Kashmir, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammaging (InfA) is a chronic, sterile, low-grade inflammatory condition associated with ageing and the development of age-related diseases (ARDs), including cancer. Conventional models often portray InfA as a relatively homogeneous and progressively worsening process, which may not adequately capture its temporal dynamics, tissue specificity, reversibility and context-dependent biological consequences. Here, we propose that InfA is better understood as a dynamic state-transition process comprising resolved/adaptive (S0), compensatory (S1), maladaptive but potentially reversible (S2) and self-sustaining (S3) inflammatory states. Transitions among these states are shaped by the balance between inflammatory induction and resolution, senescent cell (SC) generation and immune-mediated clearance, metabolic and mitochondrial resilience and microenvironmental feedback. We further integrate SC heterogeneity and immune surveillance into this framework, proposing that declining clearance and emerging immune escape permit persistent senescent phenotypes to establish self-reinforcing inflammatory microenvironments. This model also provides a mechanistic perspective on the cancer-ageing paradox by explaining how initially protective processes, including senescence, autophagy and immune surveillance, may be progressively re-tuned toward maladaptive functions during ageing. S2 emerges as a particularly important therapeutic window during which inflammatory dysregulation and immune escape are established but may remain conditionally reversible. Tissue-specific biomarkers may enable state- and timing-informed InfA interventions and provide a foundation for precision geroscience. This article is part of the theme issue 'Developmental circuits in ageing'.

Indexed as

AgingCellular SenescenceInflammationAnimalsHumanscancer–ageing paradoxinflammagingsenescence-associated secretory phenotypesenescence cells heterogeneitytemporal dynamics

Identifiers

PMID43017738
PMCPMC13755922

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.