bioRxivMicrobiologyPreprint
Analysis of SFTS pathogenesis based on single-cell RNA sequencing of monocytes
Yin ZhangiD, Mengtao Gong, Qianqian Yang, Yangyang Jin, Yuanhong Xu
Abstract
BackgroudSevere fever with thrombocytopenia syndrome (SFTS) is a newly identified tick-borne viral disease with a high mortality rate. Monocytes are known to play an important role in the pathogenesis of SFTS, but the distinct subpopulations of monocytes associated with the disease progression and their roles in inflammatory responses remain unclear. In this study, we used single-cell RNA sequencing (scRNA-seq) to explore the specific monocyte subpopulations correlated with the progression of SFTS and their involvement in inflammatory processes. MethodsscRNA-seq analysis was conducted on isolated monocytes from seven SFTS patients, validated by cell identification through flow cytometry. Comparative analyses were performed using three normal monocyte samples from public databases. Bioinformatic tools including Cell Ranger, Seurat, Monocle 2, GSEA, and SCENIC were utilized to identify distinct cell populations and transcriptional patterns. ResultsOur results indicate that severe SFTS patients in the ICU exhibited a reduced proportion of circulating HLA-DR+CD14+ monocytes compared to non-severe hospitalized SFTS patients, indicating a dysfunctional immune response. Increased numbers of CD163+CD14+ monocytes in acute SFTS patients correlated with disease severity. CD163+CD14+ monocytes were identified as potential target cells for SFTSV infection. SFTSV infection could drive monocyte differentiation into the M2 phenotype, promoting virus persistence and disease advancement. ConclusionOur studies in SFTS patients have shown that monocytes are target cells for SFTSV. Notably, an expansion of CD163+CD14+ monocytes in SFTS has been shown to be associated with severe clinical disease. In addition, activated IL-6/JAK/STAT3 signaling in SFTS patients induced CD163+CD14+ monocyte expansion, which was recovered by tofacitinib treatment.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: deep learning
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-cell RNA-seq reveals CD16- monocytes as key regulators of human monocyte transcriptional response to Toxoplasma
Anirudh Patir, Anton G. Gossner, … Musa A. Hassan·Scientific ReportsPeer-reviewed·Dec 3, 2020
- scRNA-seq Reveals A Macrophage Subset That Provides A Splenic Replication Niche For Intracellular Salmonella
D. Hoffman, R. Avraham, … N. Bossel Ben-Moshe·bioRxiv·Jan 4, 2021
- Single-Cell Immune Profiling Reveals Non-classical Monocyte-Driven Immunodepression in Tuberculosis Treatment Non-Responders
Yang Che, Yiqun Xiong, … Zhihong Shen·bioRxiv·Oct 23, 2025
- Interplay of Monocytes and T Lymphocytes in COVID-19 Severity
L. E. Padgett, H. Q. Dinh, … C. C. Hedrick·bioRxiv·Jul 17, 2020
- Single-cell analysis of severe COVID-19 patients reveals a monocyte-driven inflammatory storm attenuated by Tocilizumab
Chuang Guo, Bin Li, … Kun Qu·Nature CommunicationsPeer-reviewed·Aug 6, 2020
- Three Distinct Transcriptional Profiles of Monocytes Correlate with Disease Activity in SSc Patients
Hadijat M. Makinde, Julia L.M. Dunn, … Deborah R. Winter·bioRxiv·Jan 29, 2022