Evidence map›Paper›PMID 40890429›Full record

ArticleScientific reports2025

Temporal transcriptomic dynamics in rat spinal cord after tibial fracture unveil crosstalk between spinal cord and bone.

Jin Deng, Shen Wang, Shaoxun Yuan, Qingguo Lu, Xinyi Gu, Chen Huang, Shuhang Guo, Dehong Yu, Xiaofeng Yin

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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.

Jin Deng *Department of Orthopedics and Traumatology, Peking University People's Hospital, Beijing, China.
Shen Wang *Key Laboratory of Trauma and Neural Regeneration, Peking University, Beijing, China.
Shaoxun YuanSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China.
Qingguo LuPizhou People's Hospital, Pizhou, China.
Xinyi GuDepartment of Orthopedics and Traumatology, Peking University People's Hospital, Beijing, China.
Chen HuangDepartment of Orthopedics and Traumatology, Peking University People's Hospital, Beijing, China.
Shuhang GuoDepartment of Orthopedics and Traumatology, Peking University People's Hospital, Beijing, China.
Dehong YuPizhou People's Hospital, Pizhou, China. 15380117222@163.com.
Xiaofeng YinDepartment of Orthopedics and Traumatology, Peking University People's Hospital, Beijing, China. xiaofengyin@bjmu.edu.cn.

Funding

the National Natural Science Foundation of China 82072162the Natural Science Foundation of Beijing of China 7192215
6 · The paper itself

Abstract

Spinal cord injury induces progressive bone loss and increases fracture susceptibility. While the neurological consequences of skeletal trauma remain poorly characterized, underlying molecular mechanisms require systematic investigation. To systematically characterize the temporal dynamics of spinal cord responses, L4-L5 spinal segments were harvested from Sprague-Dawley rats at 0, 3, 7, 14, and 28 days post-fracture for RNA sequencing (Illumina platform). Integrated bioinformatics analyses revealed temporally stratified differentially expressed genes (DEGs). Quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) was used to validate the expression of key genes. Transcriptomic changes peaked at 3 days and 7 days post-fracture. By day 14, transcriptomic signatures shifted toward synaptic plasticity-related pathways. DEGs were substantially reduced by day 28. Key genes (PCP4 and RICTOR) identified by bioinformatics were validated via qRT-PCR, confirming their temporal expression patterns. This study elucidates temporal dynamics of spinal cord transcriptomic remodeling post-fracture, establishing a foundation for understanding neuro-osseous cross-talk during bone healing.

Indexed as

Bone and BonesSpinal CordSpinal Cord InjuriesTibial FracturesTranscriptomeAnimalsComputational BiologyGene Expression ProfilingMaleRatsRats, Sprague-DawleyBoneFractureSpinal cordTranscriptomic analysis

Identifiers

PMID40890429
PMCPMC12402509

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.