SFTSV-encoded microRNA-like small RNA as prognostic biomarkers in severe fever with thrombocytopenia syndrome

Severe fever with thrombocytopenia syndrome (SFTS) is a highly fatal infectious disease caused by the SFTS virus (SFTSV). Reliable prognostic biomarkers are essential for early intervention, yet specific markers for SFTSV infection remain unidentified. In this study, we identified SFTSV-encoded microRNA-like small RNAs (milRNAs) in patients' sera and evaluated their potential as prognosis biomarker. A multi-phase study involving 170 laboratory-confirmed SFTS patients, 40 patients with other infection and 80 healthy controls was conducted. Small RNA deep sequencing was performed, followed by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and TA cloning for individual validation. The expression dynamics of identified milRNAs were analyzed across different disease stages, and their prognostic potential was assessed using Kaplan-Meier survival analysis and Cox proportional hazards regression. Three SFTSV-encoded milRNAs - SFTSV-S-1480 (S-1480), SFTSV-M-692 (M-692), and SFTSV-L-4706 (L-4706) - were significantly elevated in the sera of severe patients but were nearly undetectable in mild cases and healthy controls. Their expression levels increased notably during the multiple organ dysfunction (MOD) stage, correlating with disease progression. Patients with higher milRNA expression had significantly shorter survival compared to those with lower expression. Receiver operating characteristic (ROC) curve analysis demonstrated that the three-milRNA panel outperformed traditional blood immune cell indicators in predicting disease severity. Our study identifies a panel of three SFTSV-encoded milRNAs as novel prognostic biomarkers for SFTS. Their strong correlation with disease progression and clinical outcomes suggests their potential utility for early risk stratification and targeted intervention.

Authors

Institutions

Publication Details

Journal
Emerging Microbes & Infections
Published
2026-01-07
DOI
https://doi.org/10.1080/22221751.2025.2608405
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SFTSV-encoded microRNA-like small RNA as prognostic biomarkers in severe fever with thrombocytopenia syndrome

Yuxin Chen, Hongyuan Guo, Y. Geng, Chao Tao et al.
Emerging Microbes & Infections
Viral Infections and Vectors
article

SFTSV-encoded microRNA-like small RNA as prognostic biomarkers in severe fever with thrombocytopenia syndrome

Yuxin Chen, Hongyuan Guo, Y. Geng, Chao Tao, Zheng Fu, Lingyan Shen, Feng Wang, Xiao Hu, Xi Chen
article en

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is a highly fatal infectious disease caused by the SFTS virus (SFTSV). Reliable prognostic biomarkers are essential for early intervention, yet specific markers for SFTSV infection remain unidentified. In this study, we identified SFTSV-encoded microRNA-like small RNAs (milRNAs) in patients' sera and evaluated their potential as prognosis biomarker. A multi-phase study involving 170 laboratory-confirmed SFTS patients, 40 patients with other infection and 80 healthy controls was conducted. Small RNA deep sequencing was performed, followed by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and TA cloning for individual validation. The expression dynamics of identified milRNAs were analyzed across different disease stages, and their prognostic potential was assessed using Kaplan-Meier survival analysis and Cox proportional hazards regression. Three SFTSV-encoded milRNAs - SFTSV-S-1480 (S-1480), SFTSV-M-692 (M-692), and SFTSV-L-4706 (L-4706) - were significantly elevated in the sera of severe patients but were nearly undetectable in mild cases and healthy controls. Their expression levels increased notably during the multiple organ dysfunction (MOD) stage, correlating with disease progression. Patients with higher milRNA expression had significantly shorter survival compared to those with lower expression. Receiver operating characteristic (ROC) curve analysis demonstrated that the three-milRNA panel outperformed traditional blood immune cell indicators in predicting disease severity. Our study identifies a panel of three SFTSV-encoded milRNAs as novel prognostic biomarkers for SFTS. Their strong correlation with disease progression and clinical outcomes suggests their potential utility for early risk stratification and targeted intervention.

Emerging Microbes & InfectionsVol. 15(1)
Academy of Medical Sciences (GB), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Nanjing University (CN)
Good health and well-being
Openalex Percentile: Top 97%
Viral Infections and Vectors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.