# Interleukin-10 as a potential biomarker reflecting the multidimensional pathological network in patients with severe fever with thrombocytopenia syndrome: viral load, cytokine storm, organ damage, and immune suppression

**Authors:** Ruihua Zhang, Jingxia Wang, Yanli Xu, Ruize Ma, Wan Peng, Zhouling Jiang, Hongxiao Wu, Chenxi Zhao, Ling Lin, Mengyuan Zhang, Zhihai Chen, Jianping Duan, Yaxian Kong

PMC · DOI: 10.3389/fimmu.2025.1673091 · Frontiers in Immunology · 2026-01-12

## TL;DR

This study shows that high levels of IL-10 in the blood can predict severe outcomes in patients with SFTS, helping doctors make better treatment decisions early on.

## Contribution

Identifies IL-10 as a novel early prognostic biomarker for SFTS with strong predictive accuracy and clinical relevance.

## Key findings

- IL-10 is an independent predictor of mortality in SFTS patients with an AUC of 0.8044.
- High IL-10 levels correlate with severe inflammation, organ damage, and immune suppression in SFTS.
- Serial IL-10 monitoring can guide clinical decisions by showing divergent trends in survivors and non-survivors.

## Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is a highly fatal infectious disease, potentially driven by cytokine storms. This study evaluates plasma interleukin-10 (IL-10) as a prognostic biomarker by analyzing its association with disease severity and outcomes, aiming to improve early risk stratification and clinical management.

A retrospective study was conducted on SFTS admitted to Yantai Infectious Disease Hospital from 2022 to 2024. Patients were grouped into survivors (n=160) and non-survivors (n=55). Clinical data from the first 24 hours of admission were collected. To determine independent risk factors influencing prognosis, logistic regression analysis was utilized, particularly assessing the clinical predictive significance of IL-10.

This investigation assessed 215 SFTS patients, where 160 were placed in the survival category and 55 in the mortality category. Multivariate analysis identified IL-10 as an independent predictor of mortality in individuals with SFTS. Receiver Operating Characteristic curve analysis indicated that IL-10 possessed a strong predictive capability for patient mortality, achieving an area under the curve (AUC) of 0.8044 (95% CI: 0.7388 - 0.8701; P < 0.0001). The optimal cutoff was 29.1 pg/ml (sensitivity 74%, specificity 78%). Furthermore, correlation analysis indicated significant associations between IL-10 and various clinical parameters (all P < 0.05), which included SFTS virus RNA, inflammatory markers (such as hypersensitive C-reactive protein and Procalcitonin), signs of multi-organ dysfunction (including Creatine kinase, Lactate dehydrogenase, Aspartate aminotransferase, Blood urea nitrogen, and Creatinine), coagulation irregularities (such as decreased Platelets, prolonged Activated partial thromboplastin time, and elevated D-dimer levels), and indicators of immune suppression (including reduced CD3+, CD4+, and CD8+ T cell counts). Furthermore, IL-10 were found to positively correlate with various pro-inflammatory cytokines including Interleukin-6, Tumor Necrosis Factor-alpha, and Interferon-γ. Patients with IL-10 ≥29.1 pg/ml had higher intensive care unit admission (P<0.0001), SFTS-associated encephalopathy (P = 0.0178), lower viral clearance (P<0.0001) within the first 14 days following symptom onset, and reduced 28-day survival (P = 0.0007). Continuous monitoring of IL-10 showed declining levels in survivors but rising levels in non-survivors.

Plasma IL-10 is an early prognostic biomarker for SFTS, with serial monitoring guiding clinical decisions to improve outcomes.

## Linked entities

- **Proteins:** IL10 (interleukin 10), IL6 (interleukin 6), cd.3 (Cd.3 conserved hypothetical protein), CD4 (CD4 molecule), CD8A (CD8 subunit alpha)

## Full-text entities

- **Genes:** TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}
- **Diseases:** inflammatory (MESH:D007249), encephalopathy (MESH:D001927), organ damage (MESH:D000092124), multi-organ dysfunction (MESH:D009102), Infectious Disease (MESH:D003141), coagulation irregularities (MESH:D001778), SFTS (MESH:D000085142)
- **Chemicals:** D (MESH:D003903), urea nitrogen (MESH:C530477), Creatinine (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12832826/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12832826/full.md

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Source: https://tomesphere.com/paper/PMC12832826