Evidence map›Paper›PMID 42135765›Full record

ArticleJournal of translational medicine2026

Multi-omics mapping identifies a C/EBPβ-S100a4⁺ macrophage axis as a therapeutic target in acute spinal cord injury.

Haojue Wang, Haoran Wu, Zhixuan Li, Yiming Huo, Bo Li, Wanghui Liu, Xiao Zhai, Kai Chen, Yang Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Haojue Wang *Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, 200433, China.
Haoran Wu *Department of Orthopedics, Shanghai Changzheng Hospital, Shanghai, 200433, China.
Zhixuan Li *National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai, China.
Yiming Huo *National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai, China.
Bo LiDepartment of Orthopedics, Shanghai Changzheng Hospital, Shanghai, 200433, China.
Wanghui LiuDepartment of Orthopedics, Shanghai Changhai Hospital, Shanghai, 200433, China.
Xiao ZhaiDepartment of Orthopedics, Shanghai Changhai Hospital, Shanghai, 200433, China. drzhaixiao@126.com.
Kai ChenDepartment of Orthopedics, Shanghai Changhai Hospital, Shanghai, 200433, China. spine_kai@smmu.edu.cn.ORCID 0000-0001-6588-5725
Yang LiuDepartment of Orthopedics, Shanghai Changzheng Hospital, Shanghai, 200433, China. lyspinesurgery@163.com.

Funding

National Natural Science Foundation of China 82503076Shanghai Municipal Education Commission Research and Innovation Program Major project 2023ZKZD45
6 · The paper itself

Abstract

backgroundAcute neuroinflammation drives secondary degeneration after spinal cord injury (SCI), yet the precise immune cell states and upstream regulatory circuits that initiate this response remain unresolved. Defining these early-state determinants at multi-omics resolution is essential for identifying mechanistically grounded therapeutic targets.

methodsWe implemented an integrated multi-omics framework combining high-temporal-resolution single-cell RNA sequencing, bulk transcriptomics, histological validation, and systems-level network modeling across uninjured and early post-injury time points. Cell-cell communication analysis delineated intercellular signaling architecture within the acute lesion niche. Transcriptional regulatory network inference with in silico perturbation identified candidate master regulators. Network-based compound prioritization and target engagement validation were followed by functional testing in activated macrophages and a mouse SCI model.

resultsWe resolved a temporally restricted S100a4

conclusionThis study delineates a C/EBPβ-S100a4

Indexed as

CCAAT-Enhancer-Binding Protein-betaMacrophagesMultiomicsSpinal Cord InjuriesAcute DiseaseAnimalsGene Regulatory NetworksMiceMice, Inbred C57BLSignal TransductionCCAAT-Enhancer-Binding Protein-betaAcute neuroinflammationMacrophage heterogeneityMulti-omicsSpinal cord injuryTranscriptional regulatory networks

Identifiers

PMID42135765
PMCPMC13343623

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.