Evidence map›Paper›PMID 28764798›Full record

ArticleGenome biology2017

An interaction map of circulating metabolites, immune gene networks, and their genetic regulation.

Artika P Nath, Scott C Ritchie, Sean G Byars, Liam G Fearnley, Aki S Havulinna, Anni Joensuu, Antti J Kangas, Pasi Soininen, Annika Wennerström, Lili Milani and 16 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 6% of its field
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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  11. Systemic Metabolic Signatures of Oral Diseases.Journal of dental research · 2024
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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

26 authors at 14 institutions in 5 countries.

Artika P NathDepartment of Microbiology and Immunology, The University of Melbourne, Parkville, 3010, Victoria, Australia.
Scott C RitchieSystems Genomics Lab, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Sean G ByarsDepartment of Pathology, The University of Melbourne, Parkville, 3010, Victoria, Australia.
Liam G FearnleyDepartment of Pathology, The University of Melbourne, Parkville, 3010, Victoria, Australia.
Aki S HavulinnaNational Institute for Health and Welfare, Helsinki, 00271, Finland.
Anni JoensuuNational Institute for Health and Welfare, Helsinki, 00271, Finland.
Antti J KangasComputational Medicine, Faculty of Medicine, University of Oulu, Oulu, 90014, Finland.
Pasi SoininenComputational Medicine, Faculty of Medicine, University of Oulu, Oulu, 90014, Finland.
Annika WennerströmNational Institute for Health and Welfare, Helsinki, 00271, Finland.
Lili MilaniUniversity of Tartu, Estonian Genome Center, Tartu, 51010, Estonia.
Andres MetspaluUniversity of Tartu, Estonian Genome Center, Tartu, 51010, Estonia.
Satu MännistöNational Institute for Health and Welfare, Helsinki, 00271, Finland.
Peter WürtzComputational Medicine, Faculty of Medicine, University of Oulu, Oulu, 90014, Finland.
Johannes KettunenNational Institute for Health and Welfare, Helsinki, 00271, Finland.
Emma RaitoharjuDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, 33014, Tampere, Finland.
Mika KähönenDepartment of Clinical Physiology, University of Tampere and Tampere University Hospital, FI-33521, Tampere, Finland.
Markus JuonalaDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, FI-20520, Turku, Finland.
Aarno PalotieInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, 00014, Finland.
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu, Oulu, 90014, Finland.
Samuli RipattiInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, 00014, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, 33014, Tampere, Finland.
Gad AbrahamSystems Genomics Lab, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Olli RaitakariDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, 20520, Finland.
Veikko SalomaaNational Institute for Health and Welfare, Helsinki, 00271, Finland.
Markus PerolaNational Institute for Health and Welfare, Helsinki, 00271, Finland.
Michael InouyeDepartment of Microbiology and Immunology, The University of Melbourne, Parkville, 3010, Victoria, Australia. minouye@baker.edu.au.
Finnish Institute for Health and Welfare · FIUniversity of Melbourne · AUUniversity of Oulu · FIBaker Heart and Diabetes Institute · AUTurku University Hospital · FIUniversity of Tartu · EEFinland University · FIMassachusetts General Hospital · USTampere University · FITampere University · FITampere University Hospital · FIUniversity of Bristol · GBUniversity of Eastern Finland · FIUniversity of Helsinki · FI

Funding

British Heart FoundationMedical Research Council MC_UU_1201/1Wellcome Trust
6 · The paper itself

Abstract

backgroundImmunometabolism plays a central role in many cardiometabolic diseases. However, a robust map of immune-related gene networks in circulating human cells, their interactions with metabolites, and their genetic control is still lacking. Here, we integrate blood transcriptomic, metabolomic, and genomic profiles from two population-based cohorts (total N = 2168), including a subset of individuals with matched multi-omic data at 7-year follow-up.

resultsWe identify topologically replicable gene networks enriched for diverse immune functions including cytotoxicity, viral response, B cell, platelet, neutrophil, and mast cell/basophil activity. These immune gene modules show complex patterns of association with 158 circulating metabolites, including lipoprotein subclasses, lipids, fatty acids, amino acids, small molecules, and CRP. Genome-wide scans for module expression quantitative trait loci (mQTLs) reveal five modules with mQTLs that have both cis and trans effects. The strongest mQTL is in ARHGEF3 (rs1354034) and affects a module enriched for platelet function, independent of platelet counts. Modules of mast cell/basophil and neutrophil function show temporally stable metabolite associations over 7-year follow-up, providing evidence that these modules and their constituent gene products may play central roles in metabolic inflammation. Furthermore, the strongest mQTL in ARHGEF3 also displays clear temporal stability, supporting widespread trans effects at this locus.

conclusionsThis study provides a detailed map of natural variation at the blood immunometabolic interface and its genetic basis, and may facilitate subsequent studies to explain inter-individual variation in cardiometabolic disease.

Indexed as

Amino AcidsBasophilsBlood PlateletsB-LymphocytesCardiovascular DiseasesC-Reactive ProteinFatty AcidsFollow-Up StudiesGene Expression RegulationGene OntologyGene Regulatory NetworksGenome, HumanHumansImmunity, InnateLipoproteinsMetabolic SyndromeAmino AcidsARHGEF3 protein, humanC-Reactive ProteinFatty AcidsLipoproteinsRho Guanine Nucleotide Exchange Factors

Identifiers

PMID28764798
PMCPMC5540552
OpenAlexW2559004714

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.