Evidence map›Paper›PMID 41187617›Full record

ArticleEBioMedicine2025

Proteomics insights: exploring the inflammatory and metabolic signatures of ethnicity and change in physical activity in non-diabetic hyperglycaemia.

Joseph Henson, Amr Ghit, Aikaterina Tziannou, Emily James, Charlotte L Edwardson, Nicolette C Bishop, Cameron Razieh, Donald J L Jones, Thong Huy Cao, Melanie J Davies and 2 more

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Article in EBioMedicine, 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. Article
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

12 authors.

Joseph HensonDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; National Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK. Electronic address: jjh18@leicester.ac.uk.
Amr GhitDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Department of Medicine and Aging Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy; Center for Advanced Studies and Technology (CAST), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Aikaterina TziannouDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; National Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK.
Emily JamesDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; National Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK.
Charlotte L EdwardsonDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; National Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK.
Nicolette C BishopNational Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK; National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Cameron RaziehDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
Donald J L JonesNational Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK; Leicester Cancer Research Centre, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary, Leicester, UK; Leicester van Geest Multi-OMICS Facility, University of Leicester, Leicester, UK.
Thong Huy CaoNational Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK; Leicester van Geest Multi-OMICS Facility, University of Leicester, Leicester, UK; Department of Cardiovascular Sciences, College of Life Sciences, University of Leicester, Leicester, UK.
Melanie J DaviesDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; National Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK; Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK.
Kamlesh KhuntiDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK; NIHR Applied Research Collaboration, East Midlands, UK.
Thomas YatesDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK; National Institute for Health and Care Research Leicester Biomedical Research Centre, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople of South Asian (SA) origin have an elevated risk of cardiometabolic dysfunction and respond differentially to physical activity. Mechanisms underpinning these observations are incompletely understood. We investigated protein signatures of ethnicity, changing physical activity and their interaction.

methodsA discovery analysis was conducted using data from 794 SA to 49,153 white European (WE) participants in UK Biobank, assessing associations between 726 plasma proteins and physical activity and ethnicity. Findings were validated in a targeted cohort of 58 individuals with non-diabetic hyperglycaemia, taken from a larger randomised controlled trial (PROPELS, n = 1366), stratified by ethnicity and changes in accelerometer assessed physical activity (steps/day) over 48 months. Individuals matched for ethnicity, age and sex that increased and decreased their physical activity over time were sampled, creating four groups (SA increasers [n = 15], SA decreasers [n = 15], WE increasers [n = 14], WE decreasers [n = 14]). Proteins were analysed using Olink inflammation and cardiovascular panels.

findingsIn the discovery phase, 464 proteins were associated with physical activity and 375 with ethnicity. In the validation cohort, only interleukin-6 (IL-6) was significantly associated with physical activity, showing downregulation in those who increased activity. Sixteen proteins were validated for ethnicity, including upregulated chemokines (e.g., CCL28, CCL15, CCL13, CCL11, CCL26), hepatokines (FABP1), adipokines (FABP2), and pancreatic proteins (AMY2A, AMY2B), with CXCL14, GHRL and PRTN3 downregulated in SAs.

interpretationDistinct proteomic profiles were associated with ethnicity and physical activity. IL-6 emerged as a key marker of physical activity response, while ethnicity-related proteins highlighted immune, inflammatory, and metabolic pathways.

fundingNIHR Leicester Biomedical Research Centre.

Indexed as

ExerciseHyperglycemiaInflammationProteomicsAgedBiomarkersEthnicityFemaleHumansMaleMiddle AgedBiomarkersEthnicityInflammationMetabolismPhysical activityProteomics

Identifiers

PMID41187617
PMCPMC12677085

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.