# Integrated humoral and inflammatory signatures predict outcomes in severe COVID‐19: a 14‐day longitudinal analysis

**Authors:** Hiochelson Najibe Santos Ibiapina, Fabio Magalhães‐Gama, Juliana Costa Ferreira Neves, Fabíola Silva Alves‐Hana, Ismael Artur Costa‐Rocha, Alice Aparecida Lourenço, Ágata Lopes Ribeiro, Geovane Marques Ferreira, Thais Fernanda Campos Fraga‐Silva, Adriana Alves Oliveira Paim, Daisymara Priscila Almeida Marques, Joaquim Pedro Brito‐de‐Sousa, Ana Carolina Campi‐Azevedo, Vanessa Peruhype‐Magalhães, Márcio Sobreira Silva Araújo, Andréa Teixeira‐Carvalho, Vânia Luiza Deperon Bonato, Christiane Becari, Mayra Gonçalves Manegueti, Marcelo Cordeiro‐Santos, Maria Auxiliadora‐Martins, Jordana Grazziela Coelho‐dos‐Reis, Olindo Assis Martins‐Filho, Allyson Guimarães Costa

PMC · DOI: 10.1002/cti2.70082 · Clinical & Translational Immunology · 2026-02-24

## TL;DR

This study identifies immune patterns in severe COVID-19 patients that predict survival or death, showing how antibody and inflammation levels change over 14 days.

## Contribution

The study introduces integrated humoral and inflammatory signatures as early predictors of outcomes in severe COVID-19.

## Key findings

- Nonsurvivors showed early elevated IgM anti-N and IgM anti-RBD with increased IFN-γ at ICU admission.
- Survivors exhibited sustained IL-13 production and higher IgA anti-S1 and IgA anti-RBD levels.
- Persistent inflammation markers like TNF-α and CXCL8 were strongly linked to mortality in nonsurvivors.

## Abstract

Severe COVID‐19 is marked by profound immune dysregulation, yet the interplay between humoral and inflammatory responses that determines clinical outcomes in critically ill patients remains incompletely understood. We evaluated longitudinal antibody and soluble immune mediator profiles to identify prognostic signatures associated with survival in severe COVID‐19.

In this prospective longitudinal study, peripheral blood samples were collected from 30 unvaccinated adults with severe COVID‐19 admitted to the intensive care unit (ICU) and 30 healthy controls. Serum concentrations of SARS‐CoV‐2–specific IgM, IgG and IgA antibodies (S1, RBD and N) and 27 cytokines, chemokines and growth factors were quantified at ICU admission (D0), Day 7 (D7) and Day 14 (D14) using Luminex multiplex assays. Patients were classified according to clinical outcome: discharge (DIS) or death (DEA).

DIS and DEA patients exhibited distinct immunological trajectories. DEA patients showed early elevations of IgM anti‐N and IgM anti‐RBD at D0, accompanied by increased IFN‐γ. At D7, persistently elevated TNF‐α and FGF‐basic differentiated nonsurvivors, while by D14, higher levels of CXCL8, CCL4, CXCL10 and G‐CSF were strongly associated with mortality. In contrast, DIS patients exhibited more coordinated immune regulation, including sustained IL‐13 production and higher IgA anti‐S1 and IgA anti‐RBD levels.

Integrated humoral and inflammatory signatures, particularly early IgM anti‐N/anti‐RBD responses and sequential increases in IFN‐γ, TNF‐α, FGF‐basic, CXCL8, CCL4, CXCL10 and G‐CSF, highlight immune signatures associated with poor outcomes. IL‐13 and coordinated antibody interactions may reflect protective immune pathways. These findings highlight the prognostic value of multidimensional immune monitoring in severe COVID‐19.

Integrated longitudinal profiling of humoral and inflammatory mediators in critically ill COVID‐19 patients revealed distinct immune trajectories associated with clinical outcomes. Nonsurvivors exhibited early IgM‐dominant responses accompanied by persistent inflammatory activation and fragmented immune networks, whereas survivors showed coordinated antibody responses, with IgA anti‐S1 and sustained IL‐13 production, and preserved immune connectivity. These findings highlight the importance of multidimensional immune signatures in defining outcome‐associated trajectories in severe COVID‐19.

## Linked entities

- **Proteins:** IFNG (interferon gamma), TNF (tumor necrosis factor), CXCL8 (C-X-C motif chemokine ligand 8), CCL4 (C-C motif chemokine ligand 4), CXCL10 (C-X-C motif chemokine ligand 10), CSF3 (colony stimulating factor 3), IL13 (interleukin 13)
- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Genes:** IL15 (interleukin 15) [NCBI Gene 3600] {aka IL-15}, S (surface glycoprotein) [NCBI Gene 43740568] {aka spike glycoprotein}, IL12B (interleukin 12B) [NCBI Gene 3593] {aka CLMF, CLMF2, IL-12B, IMD28, IMD29, NKSF}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, CCL5 (C-C motif chemokine ligand 5) [NCBI Gene 6352] {aka D17S136E, RANTES, SCYA5, SIS-delta, SISd, TCP228}, CCL11 (C-C motif chemokine ligand 11) [NCBI Gene 6356] {aka SCYA11}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, ACE2 (angiotensin converting enzyme 2) [NCBI Gene 59272] {aka ACEH}, CCL3 (C-C motif chemokine ligand 3) [NCBI Gene 6348] {aka G0S19-1, LD78, LD78ALPHA, MIP-1-alpha, MIP1A, SCI}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, CSF3 (colony stimulating factor 3) [NCBI Gene 1440] {aka C17orf33, CSF3OS, GCSF}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, CD79A (CD79a molecule) [NCBI Gene 973] {aka IGA, IGAlpha, MB-1, MB1}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, IL13 (interleukin 13) [NCBI Gene 3596] {aka IL-13, P600}, IL5 (interleukin 5) [NCBI Gene 3567] {aka EDF, IL-5, TRF}, IL7 (interleukin 7) [NCBI Gene 3574] {aka IL-7, IMD130}, IL4 (interleukin 4) [NCBI Gene 3565] {aka BCGF-1, BCGF1, BSF-1, BSF1, IL-4}, IL9 (interleukin 9) [NCBI Gene 3578] {aka HP40, IL-9, P40}, CCL4 (C-C motif chemokine ligand 4) [NCBI Gene 6351] {aka ACT2, AT744.1, G-26, HC21, LAG-1, LAG1}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CXCL10 (C-X-C motif chemokine ligand 10) [NCBI Gene 3627] {aka C7, IFI10, INP10, IP-10, SCYB10, crg-2}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, CSF2 (colony stimulating factor 2) [NCBI Gene 1437] {aka CSF, GMCSF}, N (nucleocapsid phosphoprotein) [NCBI Gene 43740575], IL1RN (interleukin 1 receptor antagonist) [NCBI Gene 3557] {aka CRMO2, DIRA, ICIL-1RA, IL-1RN, IL-1ra, IL-1ra3}
- **Diseases:** pneumonia (MESH:D011014), COPD (MESH:D029424), autoimmune or rheumatologic disease (MESH:D001327), respiratory deterioration (MESH:D012131), dysregulation (MESH:D021081), respiratory diseases (MESH:D012140), critical illness (MESH:D016638), Inflammatory (MESH:D007249), shock (MESH:D012769), lung injury (MESH:D055370), DM (MESH:D009223), malignancy (MESH:D009369), diabetes mellitus (MESH:D003920), HD (MESH:D006816), endothelial dysfunction (MESH:D014652), DIS (MESH:D019522), immune dysregulation (OMIM:614878), viral infections (MESH:D014777), DEA (MESH:D003643), immunodeficiency (MESH:D007153), Hypertension (MESH:D006973), acidosis (MESH:D000138), vascular injury (MESH:D057772), ALL (MESH:D054198), COVID-19 (MESH:D000086382), infected (MESH:D007239)
- **Chemicals:** methylprednisolone (MESH:D008775), enoxaparin (MESH:D017984), N (MESH:D009584)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12932082/full.md

## References

71 references — full list in the complete paper: https://tomesphere.com/paper/PMC12932082/full.md

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Source: https://tomesphere.com/paper/PMC12932082