Evidence map›Paper›PMID 40666111›Full record

ReviewFrontiers in physiology2025

Effects of molecular interactions between the exposome and oxylipin metabolism on healthspan.

Jennifer Hinman, Jamie K Alan, Kin Sing Stephen Lee

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Jennifer HinmanDepartment of Chemistry, College of Natural Science, Michigan State University, East Lansing, MI, United States.
Jamie K AlanDepartment of Pharmacology and Toxicology, East Leansing, MI, United States.
Kin Sing Stephen LeeDepartment of Chemistry, College of Natural Science, Michigan State University, East Lansing, MI, United States.

Funding

Ferroptosis and Polyunsaturated Fatty Acid MetabolismR35GM146983 · NIGMS · MICHIGAN STATE UNIVERSITY · PI Kin Sing Stephen Lee · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM146983
6 · The paper itself

Abstract

While aging is typically synonymous with the lifespan of an individual, the healthspan, or the total number of years an individual remains healthy and disease-free, is not necessarily related. A current, critical need in society has arisen as current populations are living longer than previous generations, thus increasing the number of people with age-associated diseases. However, the extent of all age mechanisms is not entirely known. Still, studies examining how the exposome, or an individual's cumulative exposures throughout their life, can influence or modulate aging processes will strengthen our understanding of how to keep individuals healthy and disease-free longer, bridging the gap between lifespan and healthspan. In contrast, previous research has also demonstrated that the exposome impacts aging. One subcategory of the exposome, the specific external, encompasses daily exposures such as diet, lifestyle factors, and occupational and environmental exposures. In this review, we focus on the interactions between factors of the exposome, such as vitamins and minerals, and their effects on aging, cell death, cellular senescence, and unsaturated fatty acid metabolism. We also discuss the interaction between oxidative fatty acid metabolism and aging itself. Overall, understanding how various exposures impact both the oxylipin profile and healthy aging will inform future interventions aimed at improving the healthspan and quality of life for this large aging population.

Indexed as

agingexposomemetabolismmolecular mechanismoxylipinsenescence

Identifiers

PMID40666111
PMCPMC12259568

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.