# Innate and adaptive immune patterns in hospitalised COVID-19 patients: a framework for precision monitoring in viral and inflammatory syndromes

**Authors:** Salvatore Corrao, Raffaella Mallaci Bocchio, Salvatore Scibetta, Antonella Montalbano, Giuseppe Natoli, Luigi Calvo, Francesco Gervasi, Christiano Argano

PMC · DOI: 10.3389/fimmu.2025.1683748 · Frontiers in Immunology · 2026-02-04

## TL;DR

This study identifies immune patterns in hospitalized COVID-19 patients that predict severe outcomes, suggesting immune profiling could improve personalized treatment.

## Contribution

The study introduces a framework for precision monitoring using immune profiles to predict clinical deterioration in viral and inflammatory syndromes.

## Key findings

- CD4+ T cell and NK cell deficiencies are strong predictors of ICU admission or death in hospitalized COVID-19 patients.
- Combined CD4+ and NK cell deficiencies increase the risk of adverse outcomes by 9.5 times.
- Immune profiling could support personalized management in viral and inflammatory diseases beyond COVID-19.

## Abstract

Understanding immune responses in viral infections such as COVID-19 is crucial for identifying patients at risk of clinical deterioration. Profiling innate and adaptive immune components may provide a basis for precision monitoring and personalised management strategies in infectious and inflammatory syndromes.

In a prospective observational study, 150 patients were enrolled from 30 March to 15 April 2022, hospitalised for COVID-19 at a tertiary Internal Medicine COVID Unit. Flow cytometry analysis of peripheral blood quantified 34 immune subpopulations. Patients were stratified into immunophenotypic groups based on deficiencies in T helper (CD4), cytotoxic T (CD8), natural killer (NK), and plasma cells. Clinical outcomes were analysed in relation to these immune profiles using multivariate logistic regression.

Of the 150 patients (mean age 64.7 years, 59.1% male), 7.8% required ICU admission and 9.1% died. Lymphopenia (<1200 cells/µL) was observed in 84%, with 61.1% showing CD4+ T cell deficiency, 32.2% NK cell deficiency, 46% CD8+ T cell reduction, and 26.6% decreased plasma cells. Notably, 10% had concurrent CD4 and NK cell deficiencies. While low plasma cell counts were not associated with worse outcomes, NK cell deficiency was linked to a threefold increased risk of death or ICU transfer (OR 3.19, p<0.03), and CD4+ T cell reduction was associated with a 5.23-fold increase (p<0.037). The combination of low CD4 and NK cells resulted in a 9.5-fold higher risk of adverse outcome, independently of age and sex.

Specific immune profiles, particularly reductions in CD4+ and NK cells, are strong predictors of mortality or ICU admission in hospitalized COVID-19 patients. These findings suggest that rapid and clinically feasible tool may support precision monitoring and personalised management in viral and inflammatory syndromes beyond COVID-19. This study advocates for the integration of immune profiling into the framework of precision medicine.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, CD19 (CD19 molecule) [NCBI Gene 930] {aka B4, CVID3}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, CD38 (CD38 molecule) [NCBI Gene 952] {aka ADPRC 1, ADPRC1, cADPR1}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, PTPRC (protein tyrosine phosphatase receptor type C) [NCBI Gene 5788] {aka B220, CD45, CD45R, GP180, IMD105, L-CA}, FGB (fibrinogen beta chain) [NCBI Gene 2244] {aka HEL-S-78p}
- **Diseases:** Cerebrovascular Disease (MESH:D002561), cytotoxic T (MESH:D001260), immune dysfunction (MESH:D007154), chronic renal failure (MESH:D007676), COVID (MESH:D000086382), infection (MESH:D007239), viral infections (MESH:D014777), Hypertension (MESH:D006973), death (MESH:D003643), deficiency (MESH:D007153), PLC (MESH:D007952), long COVID (MESH:D000094024), 2Deficiency of adaptive immunity (MESH:D018489), infectious (MESH:D003141), cognitive dysfunction (MESH:D003072), immune dysregulation (OMIM:614878), CD4+ T cell deficiency (MESH:C566079), Type 2 Diabetes mellitus (MESH:D003924), Chronic Renal Disease (MESH:D051436), Lymphopenia (MESH:D008231), diabetes (MESH:D003920), inflammatory syndromes (MESH:D018746), influenza (MESH:D007251), critically ill (MESH:D016638), 1Deficiency of innate immunity (MESH:D007249), NK cell deficiencies (MESH:D000077428), hematologic malignancy (MESH:D019337), fatigue (MESH:D005221), lymphocyte depletion (MESH:D006689), multi-organ failure (MESH:D009102), Obesity (MESH:D009765), respiratory failure (MESH:D012131)
- **Chemicals:** EDTA (MESH:D004492), ammonium chloride (MESH:D000643)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12913424/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12913424/full.md

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Source: https://tomesphere.com/paper/PMC12913424