Evidence map›Paper›PMID 33229723›Full record

ArticleNeural regeneration research2021

Bioinformatic analysis of cytokine expression in the proximal and distal nerve stumps after peripheral nerve injury.

Xiao-Qing Cheng, Wen-Jing Xu, Xiao Ding, Gong-Hai Han, Shuai Wei, Ping Liu, Hao-Ye Meng, Ai-Jia Shang, Yu Wang, Ai-Yuan Wang

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2021. 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
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

10 authors at 2 institutions in 1 country.

Xiao-Qing ChengInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Wen-Jing XuInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Xiao DingInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Gong-Hai HanInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Shuai WeiInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Ping LiuInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Hao-Ye MengInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Ai-Jia ShangDepartment of Neurosurgery, Chinese PLA General Hospital, Beijing; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China.
Yu WangInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China.
Ai-Yuan WangInstitute of Orthopedics; Beijing Key Laboratory of Regenerative Medicine in Orthopedics; Key Lab of Musculoskeletal Trauma & War Injuries, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our previous study, we investigated the dynamic expression of cytokines in the distal nerve stumps after peripheral nerve injury using microarray analysis, which can characterize the dynamic expression of proteins. In the present study, we used a rat model of right sciatic nerve transection to examine changes in the expression of cytokines at 1, 7, 14 and 28 days after injury using protein microarray analysis. Interleukins were increased in the distal nerve stumps at 1-14 days post nerve transection. However, growth factors and growth factor-related proteins were mainly upregulated in the proximal nerve stumps. The P-values of the inflammatory response, apoptotic response and cell-cell adhesion in the distal stumps were higher than those in the proximal nerve stumps, but the opposite was observed for angiogenesis. The number of cytokines related to axons in the distal stumps was greater than that in the proximal stumps, while the percentage of cytokines related to axons in the distal stumps was lower than that in the proximal nerve stumps. Visualization of the results revealed the specific expression patterns and differences in cytokines in and between the proximal and distal nerve stumps. Our findings offer potential therapeutic targets and should help advance the development of clinical treatments for peripheral nerve injury. Approval for animal use in this study was obtained from the Animal Ethics Committee of the Chinese PLA General Hospital on September 7, 2016 (approval No. 2016-x9-07).

Indexed as

cytokinedistal stumpsGene OntologyKyoto Encyclopedia of Genes and Genomes Pathwaymicroarraymicroenvironmentperipheral nerve injuryproximal stumps

Identifiers

PMID33229723
PMCPMC8178785
OpenAlexW3105436012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.