Evidence map›Paper›PMID 41063986›Full record

ArticleFrontiers in immunology2025

Single-cell multi-omics and nursing follow-up prognostic modeling reveal SLFN4-mediated neutrophil dysregulation in traumatic brain injury.

Wenping Tang, Yang Wang, Fu Zhao, Yang Hong, Lina Wang, Wanyan Xu, Fangfang Ding, Tingting Shi, Jing Ke, Li Zhuang and 5 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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

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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

15 authors.

Wenping Tang *Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Yang Wang *Department of Neurosurgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Fu Zhao *School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Yang Hong *Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Lina WangDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Wanyan XuDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Fangfang DingDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Tingting ShiDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Jing KeDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Li ZhuangDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Yuan WangDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Hongling JiaCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Huabao CaiDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Xiumei ZhangDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
Wei DuanDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traumatic brain injury (TBI) is increasingly recognized as a systemic inflammatory disorder, with neutrophils playing a critical role in secondary injury. However, the phenotypic heterogeneity and clinical significance of neutrophil subsets in the early TBI immune landscape remain unclear, limiting their utility in nursing prognostic assessment and individualized care planning. Methods: We performed an integrated multi-omics analysis-combining single-cell RNA sequencing (scRNA-seq), bulk transcriptomics, and proteomics-to dissect neutrophil diversity post-TBI. A distinct SLFN4 Results: At 24 hours post-injury, scRNA-seq revealed four neutrophil clusters in mouse brains. Among these, the SLFN4 Conclusions: SLFN4

Indexed as

Brain Injuries, TraumaticNeutrophilsAdultAnimalsBiomarkersFemaleFollow-Up StudiesHumansMaleMiceMice, Inbred C57BLMiddle AgedMultiomicsPrognosisProteomicsSingle-Cell AnalysisBiomarkersimmune heterogeneitymulti-omics integrationnursing follow-up prognostic modelprecision nursing careSLFN4-positive neutrophilstraumatic brain injury

Identifiers

PMID41063986
PMCPMC12500558

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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.