Evidence map›Paper›PMID 41822499›Full record

ArticleFrontiers in immunology2026

An integrated analysis of spinal cord transcriptome and gut microbiome unravel age-associated host-microbiome interactions following spinal cord injury.

Yingli Jing, Fan Bai, Zihan Li, Qiuying Wang, Yan Li, Weijin Liu, Shuangyue Zhang, Chen Gao, Yan Yu

Abstract read
In one paragraph

Article in Frontiers in immunology, 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yingli JingChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Fan BaiChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Zihan LiChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Qiuying WangChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Yan LiChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Weijin LiuChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Shuangyue ZhangChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Chen GaoChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
Yan YuChina Rehabilitation Science Institute, China Rehabilitation Research Center, Beijing Key Laboratory of Neural Injury and Rehabilitation, and School of Rehabilitation Medicine, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spinal cord injury (SCI) leads to irreversible neurological deficits, with emerging evidence highlighting the pivotal regulatory role of gut microbiota in neural repair through the bidirectional gut-brain axis. This study investigates age-related differences in SCI progression by longitudinally profiling multi-omics signatures in young versus aged mice, integrating spinal cord transcriptomics with gut microbiome analysis. Methods: A traumatic SCI model was established at the thoracic level 10 in mice. The gut microbiota was analyzed through 16S rRNA sequencing. Spinal cord gene expression was profiled using transcriptome sequencing. Correlation analysis was performed to evaluate associated between gut microbiota shifts and differential cytokines expression. Results: Aging significantly altered spinal cord gene expression profiles after SCI, KEGG pathway analysis revealed that differentially expressed genes (DEGs) in young and aged SCI mice were highly similar, predominantly involving immune and inflammatory response pathways. The age-dependent upregulation of inflammatory cytokines were observed under both sham and post-SCI conditions. Additionally, aging was associated with distinct shifts in gut microbiota composition across different phases of SCI. The abundance of certain bacterial genera, such as Conclusion: This study delineates host-microbiome interactions in SCI and sheds light on potential mechanisms underlying age-related impairment of neural repair capacity.

Indexed as

AgingGastrointestinal MicrobiomeHost Microbial InteractionsSpinal CordSpinal Cord InjuriesTranscriptomeAge FactorsAnimalsCytokinesDisease Models, AnimalGene Expression ProfilingMiceMice, Inbred C57BLRNA, Ribosomal, 16SCytokinesRNA, Ribosomal, 16Sgut microbiomeimmune responseneurological recoveryspinal cord injuryspinal cord transcriptome

Identifiers

PMID41822499
PMCPMC12975597

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.