Evidence map›Paper›PMID 41803361›Full record

ArticleCommunications medicine2026

Prospective multicentre study of upper respiratory mucosal transcriptomics reveals two major endotypes of critically ill COVID-19 patients.

Pierre Bay, Laure Boizeau, Sébastien Préau, Raphaël Favory, Aurélie Guigon, Nicholas Heming, Elyanne Gault, Tài Pham, Amal Chaghouri, Matthieu Turpin and 17 more

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

27 authors.

Pierre BayService de Médecine Intensive Réanimation, DMU Médecine, Hôpitaux Universitaires Henri Mondor, AP-HP (Assistance Publique-Hôpitaux de Paris), Créteil, France. pierre.bay@aphp.fr.ORCID http://orcid.org/0000-0002-6751-2110
Laure BoizeauPlateforme de Génomique, Hôpitaux Universitaires Henri Mondor, AP-HP (Assistance Publique-Hôpitaux de Paris), IMRB (Institut Mondor de Recherche Biomédicale), Créteil, France.
Sébastien PréauU1167 - RID-AGE Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, University Lille, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France.ORCID http://orcid.org/0000-0002-8638-7183
Raphaël FavoryU1167 - RID-AGE Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, University Lille, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France.
Aurélie GuigonService de virologie, CHU de Lille, Lille, France.
Nicholas HemingMédecine Intensive Réanimation, Hôpital Raymond Poincaré, Assistance Publique - Hôpitaux de Paris (AP-HP), Garches, France.
Elyanne GaultLaboratoire de Virologie, Hôpital Ambroise Paré, Assistance Publique - Hôpitaux de Paris (AP-HP), Boulogne, France.ORCID http://orcid.org/0000-0003-3855-9304
Tài PhamGRC CARMAS, Faculté de Santé de Créteil, UPEC (Université Paris-Est-Créteil), Créteil, France.ORCID http://orcid.org/0000-0002-4373-0711
Amal ChaghouriLaboratoire de Virologie, Hôpital Paul Brousse, Assistance Publique - Hôpitaux de Paris, Villejuif, France.
Matthieu TurpinSorbonne Université, Centre de Recherche Saint-Antoine INSERM, Médecine Intensive Réanimation, Hôpital Tenon, Assistance Publique - Hôpitaux de Paris, Paris, France.
Laurence Morand-JoubertSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Sébastien JochmansService de Réanimation Polyvalente, Hôpital Marc Jacquet, Melun, France.
Aurélia PitschLaboratoire de Microbiologie, Hôpital Marc Jacquet, Melun, France.
Adrien JosephService de Réanimation médico-chirurgicale, Assistance Publique-Hôpitaux de Paris, Hôpital Ambroise Paré, Boulogne, France.
Damien ContouService de Réanimation, Hôpital Victor Dupouy, Argenteuil, France.
Amandine HenryService de Virologie, Hôpital Victor Dupouy, Argenteuil, France.ORCID http://orcid.org/0000-0002-8935-8185
Damien RouxAP-HP, Hôpital Louis Mourier, DMU ESPRIT, , Service de Médecine Intensive Réanimation, Colombes, France.
Quentin Le HingratUniversité Paris Cité, IAME INSERM UMR 1137, Service de Virologie, Hôpital Bichat-Claude Bernard, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID http://orcid.org/0000-0001-9017-4941
Antoine GuillonService de Médecine Intensive Réanimation, CHU Tours, Université de Tours, Inserm U1100, Centre d'Etudes des Pathologies Respiratoires (CEPR), Tours, France.ORCID http://orcid.org/0000-0002-4884-8620
Lynda HandalaINSERM U1259, Université de Tours, Tours, France, CHRU de Tours, National Reference Center for HIV-Associated Laboratory, Tours, France.
Stefano CarusoUniversité Paris-Est-Créteil (UPEC), Créteil, France.
Mohamed AderDepartment of Virology, Hôpitaux Universitaires Henri Mondor, Assistance Publique - Hôpitaux de Paris, Créteil, France.
Alexandre SoulierDepartment of Virology, Hôpitaux Universitaires Henri Mondor, Assistance Publique - Hôpitaux de Paris, Créteil, France.
Jean-Michel PawlotskyUniversité Paris-Est-Créteil (UPEC), Créteil, France.ORCID http://orcid.org/0000-0003-0745-7559
Christophe RodriguezUniversité Paris-Est-Créteil (UPEC), Créteil, France.ORCID http://orcid.org/0000-0002-9817-5006
Nicolas de Prost *Service de Médecine Intensive Réanimation, DMU Médecine, Hôpitaux Universitaires Henri Mondor, AP-HP (Assistance Publique-Hôpitaux de Paris), Créteil, France.ORCID http://orcid.org/0000-0002-4833-4320
Slim Fourati *Université Paris-Est-Créteil (UPEC), Créteil, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere COVID-19 is associated with dysregulated immune responses. Immune responses heterogeneity was previously reported during the first waves of the pandemic. We aimed to characterise mucosal transcriptomic profiles in critically-ill patients during the Omicron era.

methodsThis prospective multicentre study included 94 critically-ill COVID-19 patients between May 2022 and August 2023. Upper respiratory tract mucosal transcriptomes were obtained from nasopharyngeal swabs and clustered based on KEGG cytokine-cytokine receptor interaction pathways using an unsupervised algorithm. Differential transcript expression, cell population abundance and gene set enrichment analyses were performed.

resultsHere we show that in 56 critically ill COVID-19 patients, transcriptomic clustering reveals two distinct COVID-19 Immune Transcriptomic Respiratory Profiles (CITRP), including CITRP-1 and CITRP-2, characterised by differential expression of cytokine and immune response pathways. Patients in the CITRP-2 group display a more pronounced immune and inflammatory response, involving specific innate immune pathways, neutrophil degranulation and T-helper 2 cytokines (e.g., IL-1, IL-4 and IL-13), and a significantly higher proportion of neutrophils than patients in the CITRP-1 group. No significant differences are observed between the two transcriptomic clusters in clinical, biological and virological characteristics at ICU admission or in patient outcomes.

conclusionsThis study highlights the heterogeneity of the immune response in critically-ill COVID-19 patients in the Omicron era, identifies two endotypes from the analysis of upper airway mucosal transcriptomics. Our findings suggest the existence of two distinct pathogenic mechanisms and the detrimental role of neutrophil and Th2 helper cell-mediated inflammation in a subset of patients with severe disease. They support the need for personalised treatment strategies targeting neutrophil-mediated lung damage and/or specific cytokine production in a subset of critically-ill COVID-19 patients.

Identifiers

PMID41803361
PMCPMC13103362

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.