Evidence map›Paper›PMID 41124095›Full record

SynthesisCardiovascular research2025

A multi-omics approach uncovers causality of IL6R on endotypes of subclinical carotid atherosclerosis and the possible role of the IL6R/OSMR pathway.

Qiao Sen Chen, Hanna M Björck, Otto Bergman, Damiano Baldassarre, Gunnar Engström, Antonio Gallo, Anders Gummesson, Ulf Hedin, Sudhir Kurl, Lars Lind and 11 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Cardiovascular research, 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

5 · Who and what money

Authors and funding

21 authors.

Qiao Sen ChenDivision of Cardiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Hanna M BjörckDivision of Cardiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9155-3609
Otto BergmanDivision of Cardiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Damiano BaldassarreDepartment of Medical Biotechnology and Translational Medicine, Università di Milano, Milan, Italy.ORCID 0000-0002-2766-8882
Gunnar EngströmDepartment of Clinical Sciences in Malmö, Lund University, Lund, Sweden.
Antonio GalloDepartment of Nutrition, Sorbonne Université, INSERM UMR1166, IHU-ICAN, Lipidology and Cardiovascular Prevention Unit, APHP, Hôpital Pitié-Salpêtrière, Paris, France.
Anders GummessonDepartment of Clinical Genetics and Genomics, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.
Ulf HedinDepartment of Molecular Medicine and Surgery, Vascular Surgery, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-9212-3945
Sudhir KurlInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Lars LindDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-2335-8542
Ljubica MaticDepartment of Molecular Medicine and Surgery, Vascular Surgery, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0002-7294-9667
Douw Johannes MulderDepartment of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Matteo PirroDepartment of Medicine, Internal Medicine, Angiology and Arteriosclerosis Diseases, University of Perugia, Perugia, Italy.
Kai SavonenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Stefan SöderbergDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Fabrizio VegliaMaria Cecilia Hospital, GVM Care and Research, Cotignola, Italy.
Elena TremoliMaria Cecilia Hospital, GVM Care and Research, Cotignola, Italy.
Carl Johan ÖstgrenDepartment of Health, Medicine and Caring Sciences, Linköping, Sweden.ORCID 0000-0003-1617-3179
Per ErikssonDivision of Cardiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Rona J StrawbridgeDivision of Cardiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Bruna GiganteDivision of Cardiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-4508-7990

Funding

Swedish Research Council
6 · The paper itself

Abstract

aimsEndotypes integrate individual clinical and molecular data and can be used to formulate molecular subclassifications of diseases. We previously derived four endotypes of subclinical carotid atherosclerosis in a large European cohort, c-IMT and c-IMT Progression as Predictors of Vascular Events in a High-Risk European Population (IMPROVE), identifying individuals with a specific cardiovascular (CV) risk, ranging from low (endotype 1) to very high (endotype 4). Here, we investigate the mechanisms underlying the differences in CV risk observed across these four endotypes. METHODS AND

resultsWe validated the four endotypes in SCAPIS (n = 5050) and UK Biobank (n = 50 396) using carotid plaque and carotid intima-media thickness (c-IMT) as subclinical atherosclerosis measures. Endotype 4 associated with a larger number of carotid plaques and increased c-IMT measures as compared to endotype 1. We performed a meta-analysis of individual genome wide association studies in IMPROVE (n = 3711), SCAPIS and UK Biobank, and identified 12 SNPs associated with endotypes. We investigated if they regulated gene expression and circulating protein levels. We found that rs2228145A/C at Interleukin-6 Receptor (IL6R), associated with endotype 4, regulated IL6R expression and circulating levels of OncoStatin M Receptor (OSMR), Complement Factor B (CFB) and Fibrinogen Chain A (FGA). We used rs2228145A/C as an instrument in two-sample Mendelian randomization analyses and showed that a decreasing IL6R expression, associated with increasing CFB, FGA, and OSMR circulating levels. Endotype 4, IL6R, CFB, FGA, and OSMR co-localized within 250 kb surrounding rs2228145A/C. However, only OSMR was up-regulated in advanced carotid atherosclerotic plaques in the presence of the A allele and in aortic region exposed to low wall shear stress. In the UK Biobank, we observed that each additional A allele at rs2228145 increased by 1.28-times the risk of myocardial infarction (MI) in endotype 4.

conclusionRs2228145A/C associated with endotype 4 clinical and molecular characteristics and amplified the MI risk in individuals assigned to endotype 4. These effects appeared to be mediated by a crosstalk with OSMR.

Indexed as

Carotid Artery DiseasesOncostatin M Receptor beta SubunitPolymorphism, Single NucleotideProteomicsReceptors, Interleukin-6AgedAsymptomatic DiseasesCarotid Intima-Media ThicknessFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedMultiomicsIL6R protein, humanOncostatin M Receptor beta SubunitReceptors, Interleukin-6EndotypeGenome-wide associationOmicsSubclinical atherosclerosis

Identifiers

PMID41124095
PMCPMC12687871

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.