Evidence map›Paper›PMID 37263268›Full record

ArticleCell reports. Medicine2023

Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human injured brain.

Ping Zheng, Ning Zhang, Dabin Ren, Cong Yu, Bin Zhao, Yisong Zhang

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ping ZhengDepartment of Neurosurgery, Shanghai Pudong New Area People's Hospital, Shanghai, China; Key Laboratory, Shanghai Pudong New Area People's Hospital, Shanghai, China. Electronic address: zhengp@unimelb.edu.au.
Ning ZhangDepartment of Neurosurgery, Shanghai Fengxian District Central Hospital, Shanghai Jiaotong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Dabin RenDepartment of Neurosurgery, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Cong YuDepartment of Neurosurgery, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Bin ZhaoDepartment of Neurosurgery, Second Hospital Affiliated with Anhui Medical University, Hefei, China.
Yisong ZhangDepartment of Neurosurgery, Shanghai Pudong New Area People's Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain. With the advances of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of spatial organization and functional orientation. Here, we generate spatial transcriptomes and metabolites from six patients with brain trauma with surgical samples. The resulting spatial marker gene, which is highly replicable across analysis methods, sequencing technologies, and modalities, is a comprehensive molecular marker of the diverse metabolic changes in human injured brains. The atlas includes an area of lipid peroxidation that resembles injured neurons in the brain. We further discover imbalanced myo-inositol and myo-inositol phosphate and related spatial markers. Our results highlight the complex transcriptomic regulation and metabolic alterations in the injured brain and will directly enable the design of reagents to target specific genes in the human brain for functional analysis.

Indexed as

Gene Expression ProfilingTranscriptomeBrainHumansmetabolic heterogeneityspatial metabolismspatial transcriptometraumatic brain injury

Identifiers

PMID37263268
PMCPMC10313933

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Registered trials

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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.