# Cytokine profiles, genetic polymorphisms, and systemic inflammatory markers in type 1 diabetes patients with COVID-19: IL-18 a predictor of disease severity

**Authors:** Mohammed Yousif Abdullah, Ahmed Baligh Laaribi, Wafa Babay, Farah Abdulkhaleq Khattab Alhaddad, Asma Mehri, Hadda-Imene Ouzari, Sonia Marghali

PMC · DOI: 10.3389/fimmu.2026.1736234 · Frontiers in Immunology · 2026-03-02

## TL;DR

This study finds that IL-18 is a strong predictor of severe COVID-19 in patients with type 1 diabetes, along with other inflammatory markers and genetic factors.

## Contribution

The study identifies IL-18 as a novel biomarker for predicting disease severity in T1DM patients with COVID-19.

## Key findings

- T1DM patients with COVID-19 had significantly higher cytokine levels and inflammatory markers compared to controls.
- The IL-10 polymorphism rs1800872 was associated with increased disease susceptibility in T1DM patients.
- Machine learning identified IL-18, CRP, and IL-6 as key biomarkers for predicting disease severity.

## Abstract

Patients with Type 1 Diabetes Mellitus (T1DM) are at increased risk for severe COVID-19 due to chronic inflammation, immune dysregulation, and impaired antiviral responses. However, the combined contribution of cytokine imbalance, host genetic variation, and systemic inflammation on COVID-19 severity in this population remains incompletely understood. This study aimed to investigate inflammatory biomarkers, interleukin profiles and immunogenetic factor associated with COVID -19 outcomes in T1DM patients.

A total of 220 individuals were enrolled, including 160 T1DM patients with confirmed COVID-19 and 60 healthy controls. Serum concentrations of IL-6, IL-10, IL-12A, and IL-18 were quantified using ELISA, along with clinical inflammatory markers (CRP, D-dimer, and NLR). Genetic polymorphisms in the IL-10, IL-12A, IL-6, and IL-18 genes were analyzed using PCR-ARMS. Statistical analyses included group comparisons and correlation analysis. In addition, supervised machine-learning (ML) approaches (Decision Tree and Random Forest) were applied within the T1DM COVID-19 cohort to identify biomarkers predictive of disease severity.

Patients exhibited significantly elevated cytokine levels and inflammatory markers compared to controls (all p < 0.001). The IL-10 polymorphism (rs1800872) was significantly associated with increased disease susceptibility, with the G allele conferring a higher risk (p<0.0001, OR = 2.85 CI95% [1.83-4.43]). IL-12 correlated positively with IL-18 (r = 0.41, p < 0.001) and negatively with IL-6 (r = −0.22, p = 0.005). ML analyses identified IL-18, CRP, and IL-6 as the most informative biomarkers of COVID-19 severity, with IL-18 showing the highest feature importance (0.276, 0.202, and 0.175, respectively).

This study highlights the critical role of inflammatory biomarkers and host genetic factors in COVID-19 severity among T1DM patients and identifies IL-18 as a robust and clinically relevant biomarker for risk stratification.

## Linked entities

- **Genes:** IL10 (interleukin 10) [NCBI Gene 3586], IL12A (interleukin 12A) [NCBI Gene 3592], IL6 (interleukin 6) [NCBI Gene 3569], IL18 (interleukin 18) [NCBI Gene 3606]
- **Proteins:** IL6 (interleukin 6), IL10 (interleukin 10), IL12A (interleukin 12A), IL18 (interleukin 18)
- **Diseases:** Type 1 Diabetes Mellitus (MONDO:0005147), COVID-19 (MONDO:0100096)

## Full-text entities

- **Genes:** IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, IL18 (interleukin 18) [NCBI Gene 3606] {aka IGIF, IL-18, IL-1g, IL1F4}, IL12B (interleukin 12B) [NCBI Gene 3593] {aka CLMF, CLMF2, IL-12B, IMD28, IMD29, NKSF}, IL12A (interleukin 12A) [NCBI Gene 3592] {aka CLMF, IL-12A, NFSK, NKSF1, P35}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}
- **Diseases:** chronic (MESH:D002908), inflammation (MESH:D007249), COVID -19 (MESH:D000086382), immune dysregulation (OMIM:614878), systemic (MESH:D015619), T1DM (MESH:D003922)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** rs1800872

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12989528/full.md

## References

43 references — full list in the complete paper: https://tomesphere.com/paper/PMC12989528/full.md

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Source: https://tomesphere.com/paper/PMC12989528