Evidence map›Paper›PMID 36507345›Full record

ArticleFrontiers in neuroscience2022

Integrated transcriptomic and metabolomic profiling reveals dysregulation of purine metabolism during the acute phase of spinal cord injury in rats.

Zhong Zeng, Mei Li, Zhanfeng Jiang, Yuanxiang Lan, Lei Chen, Yanjun Chen, Hailiang Li, Jianwen Hui, Lijian Zhang, Xvlei Hu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  4. Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 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

11 authors at 4 institutions in 1 country.

Zhong ZengDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Mei LiDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Zhanfeng JiangDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Yuanxiang LanDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Lei ChenDepartment of Neurosurgery, The First People's Hospital of Shizuishan, Shizuishan, China.
Yanjun ChenDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Hailiang LiSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Jianwen HuiDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Lijian ZhangDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Hebei University, Baoding, China.
Xvlei HuDepartment of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, China.
Hechun XiaDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Ningxia Medical University · CNAffiliated Hospital of Hebei University · CNFirst Hospital of Shijiazhuang · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Spinal cord injury (SCI) results in drastic dysregulation of microenvironmental metabolism during the acute phase, which greatly affects neural recovery. A better insight into the potential molecular pathways of metabolic dysregulation by multi-omics analysis could help to reveal targets that promote nerve repair and regeneration in the future. Materials and methods: We established the SCI model and rats were randomly divided into two groups: the acute-phase SCI (ASCI) group ( Results: The histology of the microenvironment was significantly altered in ASCI and the locomotor function was significantly reduced in rats. Metabolomics analysis showed that 360 metabolites were highly altered during the acute phase of SCI, of which 310 were up-regulated and 50 were down-regulated, and bioinformatics analysis revealed that these differential metabolites were mainly enriched in arginine and proline metabolism, D-glutamine and D-glutamate metabolism, purine metabolism, biosynthesis of unsaturated fatty acids. Transcriptomics results showed that 5,963 genes were clearly altered, of which 2,848 genes were up-regulated and 3,115 genes were down-regulated, and these differentially expressed genes were mainly involved in response to stimulus, metabolic process, immune system process. Surprisingly, the Integrative analysis revealed significant dysregulation of purine metabolism at both transcriptome and metabolome levels in the acute phase of SCI, with 48 differential genes and 16 differential metabolites involved. Further analysis indicated that dysregulation of purine metabolism could seriously affect the energy metabolism of the injured microenvironment and increase oxidative stress as well as other responses detrimental to nerve repair and regeneration. Discussion: On the whole, we have for the first time combined transcriptomics and metabolomics to systematically analyze the potential molecular pathways of metabolic dysregulation in the acute phase of SCI, which will contribute to broaden our understanding of the sophisticated molecular mechanisms of SCI, in parallel with serving as a foundation for future studies of neural repair and regeneration after SCI.

Indexed as

integrated analysismetabolomicspurine metabolismspinal cord injurytranscriptomics

Identifiers

PMID36507345
PMCPMC9727392
OpenAlexW4309713338

What OpenQuestion holds

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LicenceCC BY
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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.