Evidence map›Paper›PMID 42223846›Full record

ArticleInfection2026

Hyper-activated low-density neutrophil-derived NGAL predicts fatal SFTS: a multi-cohort and single-cell study.

Guangqi Zhu, Zhuolin Han, Bei Jia, Yi Zhang, Yali Xiong, SuKun Kai, Jie Wang, Lifen Hu, Jihua Xue, Chao Wu and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Infection, 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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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Guangqi Zhu *Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Zhuolin Han *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road Joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China.
Bei Jia *Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Yi ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yali XiongDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
SuKun KaiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road Joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China.
Jie WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road Joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China.
Lifen HuDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Jihua XueDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Chao WuDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China. dr.wu@nju.edu.cn.
Jie LiDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China. lijier@nju.edu.cn.
Wei WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road Joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China. zjuwuwei@zju.edu.cn.

Funding

"Pioneer and Leading Goose" R&D Program of Zhejiang Province 2026C04055Prevention and Control of Emerging and Major Infectious Diseases - National Science and Technology Major Project 2025ZD0190640
6 · The paper itself

Abstract

purposeSevere fever with thrombocytopenia syndrome (SFTS) is an acute infectious disease with rapid progression and high mortality. This study aimed to assess the predictive power of serum neutrophil gelatinase-associated lipocalin (NGAL) for mortality risk and elucidate its cellular origin at the single-cell level.

methodsIn this retrospective multicenter study, we analyzed clinical data from 215 SFTS patients across three Chinese hospitals (152 in the training cohort and 63 in the external validation cohort). We further analyzed publicly available single-cell RNA sequencing (scRNA-seq) data of peripheral blood mononuclear cells (PBMCs) from SFTS patients and healthy controls to investigate the cellular source of NGAL.

resultsSerum NGAL was identified as an independent risk factor for 14-day and 28-day all-cause mortality (P < 0.05). High NGAL levels were linearly associated with increased mortality and remained stable across various clinical subgroups. Crucially, unbiased scRNA-seq analysis revealed that the elevated NGAL (encoded by the LCN2 gene) primarily originated from low-density neutrophils (LDNs) that co-purified with PBMCs. These LCN2-expressing LDNs were highly enriched in non-survivors and exhibited a hyper-inflammatory, interferon-stimulated transcriptomic signature.

conclusionOur findings establish serum NGAL as a robust early predictor of mortality risk in SFTS patients, with its elevation intrinsically linked to the pathogenic emergence of highly activated LDNs, providing novel insights into the immunopathology of fatal SFTS.

Indexed as

Lipocalin-2NeutrophilsSevere Fever with Thrombocytopenia SyndromeAgedBiomarkersChinaCohort StudiesFemaleHumansLeukocytes, MononuclearMaleMiddle AgedRetrospective StudiesBiomarkersLCN2 protein, humanLipocalin-2BiomarkerMortalityNeutrophil gelatinase-associated lipocalinSevere fever with thrombocytopenia syndrome

Identifiers

PMID42223846
PMCPMC13476323

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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.