Evidence map›Paper›PMID 42688165›Full record

ArticleFrontiers in immunology2026

Monocyte TLR2/4 as predictive biomarkers for progression from dengue warning signs to severe disease.

Shiqian Chen, Peng Ye, Peiao Rao, Tiantian Sun, Jiali Qi, Ying Zheng, Xiao-Qiang Yu, Fan Zou, Xihua Fu, Ruonan Zhang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Shiqian Chen *Infection Medicine Research Institute of Panyu District, Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Peng Ye *Infection Medicine Research Institute of Panyu District, Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Peiao RaoInfection Medicine Research Institute of Panyu District, Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Tiantian SunFaculty of Pharmaceutical Sciences, Shenzhen University of Advanced Technology, Shenzhen, China.
Jiali QiGuangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Guangzhou Key Laboratory of Insect Development Regulation and Application Research, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou, China.
Ying ZhengGuangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Guangzhou Key Laboratory of Insect Development Regulation and Application Research, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou, China.
Xiao-Qiang YuGuangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Guangzhou Key Laboratory of Insect Development Regulation and Application Research, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou, China.
Fan ZouFaculty of Pharmaceutical Sciences, Shenzhen University of Advanced Technology, Shenzhen, China.
Xihua FuInfection Medicine Research Institute of Panyu District, Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Ruonan ZhangGuangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Guangzhou Key Laboratory of Insect Development Regulation and Application Research, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The World Health Organization (WHO) classification system, comprising dengue fever (DF), dengue with warning signs (DWS), and severe dengue (SD), has been widely adopted globally; however, clinical management remains challenging. Current warning sign criteria lack specificity, frequently failing to distinguish patients progressing to severe disease from those with transient illness, thereby contributing to delayed interventions and missed therapeutic windows. Although Toll-like receptors (TLRs) mediate innate antiviral immunity and are implicated in severe dengue pathogenesis, their expression dynamics during the critical DWS transition window, a phase in which intervention could prevent progression to severe disease, remain entirely unknown. Methods: An integrated biomarker discovery study was conducted, comprising bioinformatics analysis of publicly available single-cell RNA sequencing (scRNA-seq) data (GSE220969) and experimental validation in an independent clinical cohort of 45 dengue patients and 10 healthy controls (H) in Guangdong Province, China. Phase-specific immune signatures were identified from the scRNA-seq data. TLRs expression was quantified by multiparameter flow cytometry. Diagnostic performance was assessed using ROC curve analysis, and correlations with clinical laboratory parameters were evaluated using Spearman's rank correlation. Results: Bioinformatics analysis of 23 cell clusters revealed that TLR2/4/7/8 expression peaked specifically during the DWS phase, predominantly in monocytes. Flow cytometry confirmed elevated surface TLR2 (AUC 0.874) and TLR4 (AUC 0.763) in DWS versus other phases, with discriminatory capacity to distinguish DWS from SD (TLR2: AUC 0.833; TLR4: AUC 0.810). Moreover, correlation analysis of TLRs expression with clinical indicators demonstrated that the expression levels of TLR2 and TLR4 were associated with the development of SD. Conclusions: Elevated monocyte TLR2/4 expression during DWS identifies patients at risk for progression to severe dengue before clinical decompensation. These mechanism-informed biomarkers provide a foundation for point-of-care risk stratification in endemic regions.

Indexed as

DengueMonocytesSevere DengueToll-Like Receptor 2Toll-Like Receptor 4BiomarkersDengue VirusDisease ProgressionFemaleHumansMaleBiomarkersTLR2 protein, humanTLR4 protein, humanToll-Like Receptor 2Toll-Like Receptor 4biomarkerdenguemonocyteseverity stratificationtoll-like receptor

Identifiers

PMID42688165
PMCPMC13533738

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.