Evidence map›Paper›PMID 40825056›Full record

ArticlePLoS pathogens2025

Pattern recognition receptor-associated immuno-thrombotic transcript changes in platelets and leukocytes with COVID19.

Heather Learnard, Jason Core, Heather Corkrey, Anthony Sciaudone, Jeffrey Rade, Hardy Kornfeld, Jennifer P Wang, Jane E Freedman, Kahraman Tanriverdi, Milka Koupenova

Abstract read
In one paragraph

Article in PLoS pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Altered Erythrocyte Function via TLR9-ox-mtDNA Binding Links Mitochondrial Oxidative Damage to Systemic Inflammation in Multiple Sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  2. 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

10 authors.

Heather LearnardDepartment of Medicine, Divisions of Cardiovascular Medicine, UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Jason CoreDepartment of Medicine, Divisions of Cardiovascular Medicine, UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Heather CorkreyDepartment of Medicine, Divisions of Cardiovascular Medicine, UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Anthony SciaudoneDepartment of Medicine, Divisions of Cardiovascular Medicine, UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Jeffrey RadeDepartment of Medicine, Divisions of Cardiovascular Medicine, UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Hardy KornfeldDepartment of Medicine, Divisions of Cardiovascular Medicine, UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Jennifer P WangDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Jane E FreedmanDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt Medical Center, Nashville, Tennessee, United States of America.
Kahraman TanriverdiDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt Medical Center, Nashville, Tennessee, United States of America.
Milka KoupenovaDepartment of Medicine, Divisions of Cardiovascular Medicine, UMass Chan Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0001-5934-8990

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
Transdisciplinary Training In Cardiovascular ResearchT32HL120823 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, KIEFE, CATARINA I. · 2014 to 2025
$3.9M
Mechanisms of platelet reprogramming during influenza infectionR01HL153235 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KOUPENOVA, MILKA · 2020 to 2024
$2.1M
Amnis ImageStreamX MkII Imaging Cytometer for UMass Chan Flow CoreS10OD034358 · OD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHRADER, CAROL E · 2024 to 2024
$599k
Platelet-MLKL role in S100 Release with Age and InfectionR21AG093333 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KOUPENOVA, MILKA · 2025 to 2025
$461k
NCATS NIH HHS UL1 TR001453NHLBI NIH HHS R01 HL153235NHLBI NIH HHS T32 HL120823NIA NIH HHS R21 AG093333NIH HHS S10 OD034358
6 · The paper itself

Abstract

Respiratory infections are characterized by an increased risk of thrombosis, likely involving platelet-leukocyte crosstalk via pattern recognition receptors (PRRs). Here we characterized COVID19-mediated changes in PRR levels and their associations with thrombotic/coagulation-related transcriptional programs across platelets and leukocytes and assessed their correlation with COVID19 outcomes. Amplicon RNAseq of platelets and leukocytes from COVID19 patients (n = 10) and non-infected donors (n = 15) showed distinct patterns of PRR-expression levels based on cell type. Platelets from non-infected donors expressed TLR9 > RIG-I> CGAS at the highest level while leukocytes expressed TLR4 > TLR8 > RIG-I. COVID19 resulted in increased levels of TLR9, RIG-I, CGAS, and TLR1 in platelets and decreased levels of TLR6 and TLR8 in leukocytes, while the levels of the highest expressed PRRs remained almost unchanged. In platelets from COVID19 patients, MDA5, RIG-I, and LGP2 showed the highest associations with thrombotic-, coagulation-, and thrombolysis-associated transcripts, while in non-infected donors, TLR9 showed the highest associations with those transcripts. In leukocytes, RIG-I and MDA5 also correlated with coagulation-related transcripts when derived from the non-infected donors, but those associations were almost lost with COVID19. Platelet-leukocyte aggregates increased with COVID19 as did extracellular vesicles detected by imaging cytometry, immunofluorescence, or electron microscopy. Platelet-TLR3 and leukocyte-TLR5 positively correlated with severity and survival of the COVID19 patients, while leukocyte-TLR7 showed an inverse correlation. Coagulopathy, measured by INR, was associated with platelet-TLR4 and leukocyte-TLR10. Liver inflammation, assessed by ALT levels, correlated with platelet- and leukocyte-LGP2, in addition to leukocyte-TLR3, -TLR6, -TLR7, and -RIG-I. Analysis of publicly available whole-blood-RNAseq, showed that COVID19 and tuberculosis were more similar than COVID19 and influenza with respect to associations between PRRs and thrombotic/coagulation-related transcripts. Overall, platelets and leukocytes exhibit distinct patterns of PRR expression and correlations with thrombotic/coagulation-related transcripts that change with COVID19, and there are distinct PRRs in each cell population that associate with COVID19 severity, coagulopathy, and liver damage.

Indexed as

Blood PlateletsCOVID-19LeukocytesReceptors, Pattern RecognitionThrombosisAdultAgedFemaleHumansMaleMiddle AgedSARS-CoV-2Receptors, Pattern Recognition

Identifiers

PMID40825056
PMCPMC12373281

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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.