Evidence map›Paper›PMID 42807246›Full record

ArticleFrontiers in immunology2026

Integrated miR-omics and proteomics reveal the regulatory role of miR in protein networks associated with COVID-19 disease progression.

Kelly E Mercer, Vikrant Vijay, Li-Rong Yu, Tao Han, Elysia A Masters, Jinchun Sun, Mallikarjun Bidarimath, Megan Ramey, Mona Agrawal, Armando S Flores-Torres and 8 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Kelly E MercerDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Vikrant VijayDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Li-Rong YuDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Tao HanDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Elysia A MastersDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Jinchun SunDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Mallikarjun BidarimathDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Megan RameyDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Mona AgrawalDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
Armando S Flores-TorresDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, United States.
Amanda M GreenDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
Keith Burkhart *Division of Applied Regulatory Sciences, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, United States.
Chistian HerzogDepartment of Nephrology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Giuseppina DusioDepartment of Nephrology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
John M ArthurDepartment of Nephrology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Jessica OliphantDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.
Heather S SmallwoodDepartment of Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston, TX, United States.
Richard D BegerDivision of Systems Biology, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, United States.

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00016 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI WEBBY, RICHARD · 2021 to 2025
$91.4M
NIH HHS 75N93021C00016
6 · The paper itself

Abstract

Introduction: While microRNA (miR) expression profiling has identified potential biomarkers in patients with COVID-19, the regulatory mechanisms by which miRs modulate disease severity remain poorly characterized. We performed integrated miR-proteome analysis to elucidate mechanistic relationships between miR regulation and COVID-19 severity. Method: Deidentified plasma samples from 93 participants with acute COVID-19 were categorized by severity using a 12-point symptom scoring system: mild (0-1), moderate (2-4), and severe (5-12). miR and proteomic profiles were analyzed using univariate statistics, pathway analysis, miR-target prediction, and correlation analysis. Differentially expressed miRNAs (DEMs) and differentially expressed proteins (DEPs) between the three severity groups from the original cohort were evaluated in a validation cohort of 94 participants. Results: We identified 365 unique miRs and 801 unique proteins that were significantly associated with COVID-19 severity in any of the three comparisons. Ingenuity pathway analysis revealed neutrophil degranulation, cytokine storm, interleukin-10 (IL-10) signaling, and wound healing signaling as top dysregulated pathways in severe versus mild cases, with IL-6 involved in 9 of the 10 most significant pathways. Correlation analysis between miRs and proteins from 93 participants identified 6,559 miR-protein pairs with | Discussion: To our knowledge, this represents the first integrated analysis of circulating miRs and proteins from the same COVID-19 participants and separately in a validation cohort. The high frequency of negative miR-protein correlations combined with target prediction analysis suggests that miRs play regulatory roles in COVID-19 severity-associated pathways. These findings provide mechanistic insights into miR regulation of host immune responses and identify potential biomarkers that could inform therapy of COVID-19.

Indexed as

COVID-19MicroRNAsSARS-CoV-2AdultBiomarkersDisease ProgressionFemaleGene Expression ProfilingHumansMaleMiddle AgedMultiomicsProtein Interaction MapsProteomeProteomicsSeverity of Illness IndexBiomarkersMicroRNAsProteomeCOVID-19miRNA profilingmultiomicspathwayproteomics

Identifiers

PMID42807246
PMCPMC13616804

What OpenQuestion holds

Textmetadata
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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.