Evidence map›Paper›PMID 41472740›Full record

ReviewFrontiers in immunology2025

Exploring gut microbiota and spinal cord injury: pathogenesis, treatment strategies and prospects.

Qin Chen, Mingliang Zhong, Ye Lin

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Qin ChenDepartment of Spine Surgery, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, Jiangxi, China.
Mingliang ZhongDepartment of Spine Surgery, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, Jiangxi, China.
Ye LinDepartment of Infectious Disease, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal cord injury (SCI) is a disabling central nerve system (CNS) injury, often caused by factors such as traffic accidents, falls from heights, violent trauma, and sports injuries, commonly resulting in permanent loss of motor and sensory function below the level of injury. Increasing evidence suggests that gut microbiota influences the occurrence and development of CNS diseases through the brain-gut axis. Recent studies indicate that patients with SCI frequently exhibit gut microbiota dysbiosis. Changes in gut microbiota can lead to gut barrier disruption, triggering neurogenic inflammatory responses, thereby hindering recovery after SCI, while reshaping gut microbiota may benefit the recovery of intestinal function and neurofunction after SCI. In this review, we summarize emerging literature on the role of microbiota after SCI. We elucidate the intrinsic connection between gut microbiota and SCI, explore the role of gut microbiota in the pathogenesis of SCI, and investigate potential intervention strategies targeting gut microbiota, including probiotic therapy, fecal microbiota transplantation (FMT), and regulation of metabolites, aiming to provide theoretical basis and translational prospects for developing innovative microecological targeted therapeutic approaches.

Indexed as

Gastrointestinal MicrobiomeSpinal Cord InjuriesAnimalsDysbiosisFecal Microbiota TransplantationHumansProbioticsfecal microbiota transplantationgut microbiota dysbiosisprobioticsspinal cord injurytreatment strategies

Identifiers

PMID41472740
PMCPMC12745463

What OpenQuestion holds

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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 OpenQuestion graph.