Evidence map›Paper›PMID 41519271›Full record

ArticleJournal of thrombosis and haemostasis : JTH2026

Fibrinogen-associated plasma metabolites and implications for coagulation, inflammation, and vascular diseases.

Jayna C Nicholas, Taryn Alkis, Joshua C Bis, Eric Boerwinkle, Jennifer A Brody, Clary B Clish, Paul S de Vries, Yan Gao, Robert E Gerzsten, Xiuqing Guo and 17 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of thrombosis and haemostasis : JTH, 2026. 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

27 authors.

Jayna C NicholasDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA.
Taryn AlkisHuman Genetics Center, Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Joshua C BisCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA.
Eric BoerwinkleHuman Genetics Center, Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Jennifer A BrodyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA.
Clary B ClishBroad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Paul S de VriesHuman Genetics Center, Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Yan GaoJackson Heart Study, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Robert E GerzstenBroad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Xiuqing GuoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California at Los Angeles Medical Center, Torrance, California, USA.
Andrew D JohnsonDivision of Intramural Research, Population Sciences Branch, The Framingham Heart Study, Framingham, National Heart, Lung, and Blood Institute, Massachusetts, USA.
Martin G LarsonDepartment of Biostatistics, Boston University, Boston, Massachusetts, USA; The Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA.
Rozenn N LemaitreCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA.
Bruce M PsatyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA; Departments of Epidemiology and Health Systems and Population Health, University of Washington, Seattle, Washington, USA.
Ramachandran S VasanThe Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA; Department of Quantitative and Qualitative Health Sciences and the Department of Medicine at the University of Texas School of Public Health, UT San Antonio, San Antonio, Texas, USA.
Alexander P ReinerPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Stephen S RichDepartment of Genome Sciences, University of Virginia, Charlottesville, Virginia, USA.
Benjamin RodriguezIntramural Research, Population Sciences Branch, The Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, USA.
Jian RongDepartment of Neurology, Boston University, Boston, Massachusetts, USA.
Jerome I RotterDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California at Los Angeles Medical Center, Torrance, California, USA.
Jeannette SiminoDepartment of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Nicholas L SmithDepartment of Epidemiology, Epidemiology and Health Services, University of Washington, Seattle, Washington, USA; Division of Cardiovascular Health, Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, USA; Department of Veterans Affairs Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, Washington, USA.
James WilsonDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Jie YaoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California at Los Angeles Medical Center, Torrance, California, USA.
Alanna C MorrisonHuman Genetics Center, Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Bing YuHuman Genetics Center, Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA. Electronic address: Bing.Yu@uth.tmc.edu.
Laura M RaffieldDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA. Electronic address: laura_raffield@unc.edu.

Funding

Using genomics and functional biology to understand fibrinogen and factor XIII and their effects on thrombotic diseasesR01HL141291 · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · 2025 to 2025
$745k
Analysis of Whole Genome Sequence and Hemostasis PhenotypesR01HL139553 · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · 2025 to 2025
$705k
Cross-Ancestry Comparison of Aptamer and Antibody Proteomics MeasuresF31HL176194 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2025 to 2025
$41k
NHLBI NIH HHS F31 HL176194NHLBI NIH HHS R01 HL139553NHLBI NIH HHS R01 HL141291
6 · The paper itself

Abstract

backgroundFibrinogen is a critical coagulation factor that plays an essential role in thrombosis and is elevated in individuals with chronic inflammation.

objectivesHere, we used fibrinogen as a representative quantitative measure of procoagulant risk and evaluated metabolites associated with fibrinogen levels using nontargeted plasma metabolomics profiling (Broad and Metabolon platforms).

methodsOur analysis included 10 533 individuals across 6 United States-based cohorts representing diverse population groups. The cross-sectional relationship between each of the 789 metabolites tested and plasma fibrinogen concentration was assessed after adjustment for relevant covariates, including age, cohort-reported sex, body mass index, and circulating lipoprotein levels.

resultsMeta-analysis of per-cohort results revealed 270 metabolites significantly associated with fibrinogen levels (false discovery rate-adjusted P value < .05). Lipid species, such as glycerophospholipids, sphingolipids, and fatty acyls, were among the most significantly associated metabolites; some of these may capture effects of inflammation, as supported by sensitivity analyses adjusted for C-reactive protein. Significant associations between fibrinogen levels and serotonin, thyroxine, and sex hormone derivatives may capture endogenous influences on fibrinogen levels. Exogenous compounds and microbial cometabolites were significantly associated with fibrinogen, also implicating lifestyle and microbiome risk factors. Only a portion of fibrinogen-associated metabolites (30%) has been associated with cardiovascular disease outcomes in a prior study, suggesting that the associations discovered here may provide insights into vascular biology that case-control studies may not yet be powered to detect.

conclusionThese findings contribute to the growing list of metabolite biomarkers that may influence coagulation and inflammation pathways and, thereby, vascular risk.

Indexed as

Blood CoagulationFibrinogenInflammationInflammation MediatorsVascular DiseasesAdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMetabolomicsMiddle AgedRisk FactorsUnited StatesBiomarkersFibrinogenInflammation Mediatorsbiomarkersfibrinogenhemostasisinflammationmetabolomics

Identifiers

PMID41519271
PMCPMC12998697

What Socratic holds

Textmetadata
LicenceTDM
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.