Evidence map›Paper›PMID 40890263›Full record

ArticleScientific reports2025

Immune-coagulation dynamics in severe COVID-19 revealed by autoantibody profiling and multi-omics integration.

Anoop T Ambikan, Axel Cederholm, Sefanit Rezene, Maribel Aranda-Guillén, Hampus Nordqvist, Carl Johan Treutiger, Ronaldo Lira-Junior, Nils Landegren, Soham Gupta

Abstract read
In one paragraph

Article in Scientific reports, 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

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

9 authors.

Anoop T Ambikan *The Systems Virology Laboratory, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 141 52, Stockholm, Sweden.
Axel Cederholm *Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala university, Uppsala, Sweden.
Sefanit RezeneThe Systems Virology Laboratory, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 141 52, Stockholm, Sweden.
Maribel Aranda-GuillénCentre for Molecular Medicine, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden.
Hampus NordqvistDepartment of Infectious Diseases/Venhälsan, South General Hospital, Stockholm, Sweden.
Carl Johan TreutigerDepartment of Infectious Diseases/Venhälsan, South General Hospital, Stockholm, Sweden.
Ronaldo Lira-JuniorDivision of Oral diagnostics & Surgery, Department of Dental Medicine, Karolinska Institutet, Huddinge, Sweden.
Nils LandegrenScience for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala university, Uppsala, Sweden.
Soham GuptaThe Systems Virology Laboratory, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 141 52, Stockholm, Sweden. soham.gupta@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe COVID-19 is characterized by immune-coagulation dysregulation, yet the contribution of related autoantibodies remains poorly understood. We investigated relationships between plasma autoantibody reactivities, whole-blood transcriptomics, plasma proteomics, and clinical laboratory parameters in a cohort of hospitalized COVID-19 patients. Transcriptomic analysis revealed that 42 curated coagulation and complement cascade genes were upregulated in severe cases compared to healthy controls, with 15 genes, including CR1L, ELANE, ITGA2B, ITGB3, VWF, TFPI, PROS1, MMRN1, and SELP (> 1.2 log2 fold-change), also significantly different from mild cases. Autoantibody profiling against eight coagulation-related proteins (ADAMTS13, Factor V, Protein S, SERPINC1, Apo-H, PROC1, Prothrombin, and PF4) showed reactivities below positivity thresholds across all groups. Using an exploratory approach, in severe cases, subthreshold autoantibody candidates (FDR < 0.25) showed negative correlation trends with select gene expressions and inflammatory markers (Factor V with IL-6 and CXCL10), suggesting potential disease-specific immunomodulatory associations. In contrast, while mild cases exhibited stronger gene-protein correlations, they showed limited associations with antigen reactivities or clinical laboratory parameters. Additionally, no correlations were observed between autoantibodies and platelet-counts or Fibrin-D-dimer levels. Age-associated increases in antigen reactivities were noted in severe disease, implying a role for immunosenescence. These findings support further investigation into the role of subthreshold autoantibody candidates in thromboinflammatory COVID-19 pathogenesis.

Indexed as

AutoantibodiesBlood CoagulationCOVID-19AdultAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedMultiomicsProteomicsSARS-CoV-2Severity of Illness IndexTranscriptomeAutoantibodiesAutoantibodiesCoagulation gene expressionImmune-coagulation dynamicsSevere COVID-19Thromboinflammatory diseases

Identifiers

PMID40890263
PMCPMC12402181

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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.