Evidence map›Paper›PMID 41627524›Full record

ArticleJournal of clinical immunology2026

NET Biomarkers in COVID-19 and Post-COVID Syndrome: a Comprehensive Analysis.

Diana M Monsalve, Laura Numpaque-Morales, Manuel Rojas, Yeny Acosta-Ampudia, Carolina Ramírez-Santana

Abstract read
In one paragraph

Article in Journal of clinical immunology, 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. 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

5 authors.

Diana M MonsalveCenter for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 No. 63-C-69, 111221, Bogotá, Colombia.
Laura Numpaque-MoralesEstudiante Programa de Bacteriología y Laboratorio Clínico. Facultad de Ciencias de La Salud, Universidad Colegio Mayor de Cundinamarca (UCMC), Bogotá, Colombia.
Manuel RojasCenter for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 No. 63-C-69, 111221, Bogotá, Colombia.
Yeny Acosta-AmpudiaCenter for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 No. 63-C-69, 111221, Bogotá, Colombia.
Carolina Ramírez-SantanaCenter for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 No. 63-C-69, 111221, Bogotá, Colombia. Heily.ramirez@urosario.edu.co.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 triggers immune responses, including neutrophil activation and neutrophil extracellular trap (NET) release, contributing to COVID-19 severity. A significant proportion of patients experience persistent or new symptoms after recovery, referred to as post-COVID syndrome (PCS), which may be associated with NET release persistence. This study aimed to investigate whether NET-related biomarkers remain elevated after acute SARS-CoV-2 infection and to explore their association with PCS. We conducted an analytical descriptive cohort study including patients with acute COVID-19 (n = 35), PCS (n = 35), and a pre-pandemic healthy control group (PPC; n = 35). Serum samples from participants were used to measure NET biomarkers, including MPO-DNA complexes, elastase-DNA complexes, and MPO levels. The capacity to induce NETosis in vitro was evaluated by incubating neutrophils with participant serum. Additionally, soluble immune markers, including cytokines, anti-SARS-CoV-2 antibodies, and autoantibodies, were assessed. A NETosis-based model was developed using NET biomarkers to distinguish between acute COVID-19 or PCS patients and PPC individuals. Our findings revealed a significant increase in NET biomarkers during acute COVID-19 that persisted in PCS. This pattern was consistent with the in vitro study, where sera from PCS patients induced NET release. Additionally, NET biomarkers correlated with neutrophil counts, cytokines, autoantibodies, and inflammatory markers during acute COVID-19 and PCS. The multivariate model of NET biomarkers exhibited a high accuracy in distinguishing acute COVID-19 with an area under the curve (AUC) of 0.99 (CI = 0.98–1.00) and PCS patients with an AUC of 0.91 (CI = 0.84–0.99) from PPC. These findings suggest that persistent NETosis may contribute to PCS pathophysiology, highlighting NETs as potential biomarkers and therapeutic targets in post-viral syndromes.

Indexed as

COVID-19Extracellular TrapsNeutrophilsSARS-CoV-2AdultAgedAutoantibodiesBiomarkersCytokinesFemaleHumansMaleMiddle AgedNeutrophil ActivationPost-Acute COVID-19 SyndromeAutoantibodiesBiomarkersCytokinesCOVID-19Extracellular trapsInflammationNETosisNeutrophilPost-COVID syndromeSARS-CoV-2

Identifiers

PMID41627524
PMCPMC12909450

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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.