Evidence map›Paper›PMID 43006131›Full record

ReviewFrontiers in molecular medicine2026

Time of day metabolism and endocrine regulation of immune health.

Ashok Hattangady, Virender Singh, Chirag Gala, Narendra Chirmule, Vivek Kadambi

Abstract readReview
In one paragraph

Review in Frontiers in molecular medicine, 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

5 authors.

Ashok HattangadyIndependent Researcher, Bangalore, India.
Virender SinghBiopatrika, Haryana, India.
Chirag GalaNational Institute of Pharmaceutical Education and Research Department of Pharmaceutics, Sahibzada AjitSingh Nagar, India.
Narendra ChirmuleUniversity of Pennsylvania, Philadelphia, PA, United States.
Vivek KadambiBelle Sante Institute of Functional Medicine, Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system is a dynamic, energy-dependent network regulated by temporal biology. Advances in circadian biology have enabled the synchronizing of critical immune parameters such as metabolism, endocrine secretions, surveillance, tissue repair, and adaptation to environmental cycles. Here, we propose a metabolomic, and endocrine, chromodynamic model of immune health, based on time-of-day rhythms. Immune resilience is defined by synchronization among three groups of oscillators i) the central circadian clocks, ii) food-entrainable metabolic oscillators, iii) peripheral cellular clocks. The model provides a framework to optimize these interconnected systems to maintain metabolic efficiency, minimize unnecessary inflammation, and enable precise immune responses through temporal gating. External factors of modern lifestyle disruptions, including irregular feeding patterns, sleep deprivation, and chronic stress, induce internal circadian desynchrony, contributing to persistent low-grade inflammation, metabolic dysfunction, immune aging, and chronic non-communicable diseases. We propose that immune health is characterized not merely by the absence of disease, but by stable circadian phase coherence, low inflammatory noise, and adaptive immune resilience. We have listed some chrono-biomarkers of metabolomic and endocrine parameters that may provide a functional assessment of immune resilience, defined by inflammatory tone, immune adaptability, metabolic integrity, and repair capacity. This framework integrates chronobiology, endocrine and immunometabolism to shift medicine from reactive disease management toward proactive assessment and restoration of biological resilience.

Indexed as

biomarkerscircadianendocrineimmune regulationmetabolic

Identifiers

PMID43006131
PMCPMC13747667

What OpenQuestion holds

Textmetadata
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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.