Evidence map›Paper›PMID 33653377›Full record

ArticleJournal of neuroinflammation2021

Recruitment of γδ T cells to the lesion via the CCL2/CCR2 signaling after spinal cord injury.

Ping Xu, Feng Zhang, Min-Min Chang, Cheng Zhong, Cheng-Hong Sun, Hao-Ran Zhu, Jing-Chun Yao, Zhi-Zhong Li, Si-Tao Li, Wen-Cai Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 51 citations in OpenAlex.

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  19. Spinal cord injury: molecular mechanisms and therapeutic interventions.Signal transduction and targeted therapy · 2023
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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 3 institutions in 1 country.

Ping XuDepartment of Orthopedics, The First Affiliated Hospital of Jinan University, 601 West Whampoa Avenue, Guangzhou, 510000, China.
Feng ZhangIntensive Care Unit, First Affiliated Hospital, Jinan University, Guangzhou, China.
Min-Min ChangCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Cheng ZhongDepartment of Orthopedics, The Affiliated Jiangmen Traditional Chinese Medicine Hospital of Jinan University, Jiangmen, China.
Cheng-Hong SunState Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, China.
Hao-Ran ZhuDepartment of Orthopedics, The First Affiliated Hospital of Jinan University, 601 West Whampoa Avenue, Guangzhou, 510000, China.
Jing-Chun YaoState Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, China.
Zhi-Zhong LiDepartment of Orthopedics, The First Affiliated Hospital of Jinan University, 601 West Whampoa Avenue, Guangzhou, 510000, China.
Si-Tao LiDepartment of Pediatrics, The Sixth Affiliated Hospital, Sun Yat-sen University, No. 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, China. lisit@mail.sysu.edu.cn.
Wen-Cai ZhangDepartment of Orthopedics, The First Affiliated Hospital of Jinan University, 601 West Whampoa Avenue, Guangzhou, 510000, China. zhwc50@sohu.com.
Guo-Dong SunDepartment of Orthopedics, The First Affiliated Hospital of Jinan University, 601 West Whampoa Avenue, Guangzhou, 510000, China. sgd96@jnu.edu.cn.ORCID http://orcid.org/0000-0001-5336-368X
First Affiliated Hospital of Jinan University · CNJinan University · CNSun Yat-sen University · CN

Funding

Medical Scientific Research Foundation of Guangdong Province of China A2019217National Natural Science Foundation of China 31970862Natural Science Foundation of Guangdong Province 2018A030313576Natural Science Foundation of Guangdong Province 2019A1515011335Science and Technology Program of Guangzhou 201803010001
6 · The paper itself

Abstract

backgroundImmune cell infiltration and neuroinflammation are heavily associated with spinal cord injury (SCI). C-C motif chemokine ligand 2/C-C chemokine receptor type 2 (CCL2/CCR2) axis has been identified as a critical role player during the invasion of immune cells to lesions in many diseases. γδ T cells, a subgroup of T cells, manage the course of inflammation response in various diseases; however, it remains unknown whether γδ T cells are recruited to injury site through CCL2/CCR2 signaling and exert the regulation effect on neuroinflammation after SCI.

methodsBasso Mouse Scale (BMS), regularity index, cadence, max contact area, and motor-evoked potential testing (MEP) were measured to determine the neurological function recovery after spinal cord injury. Nissl staining was performed to identify the number of surviving motor neurons at lesion epicenter. Immunofluorescence, Western blot, enzyme-linked immunosorbent assays (ELISA), and quantitative real-time polymerase chain reaction (QRT-PCR) also were employed to evaluate the expression of associated proteins and genes.

resultsIn this study, we demonstrated that TCRδ

conclusionsIn conclusion, γδ T cell recruitment to SCI site promotes inflammatory response and exacerbates neurological impairment. CCL2/CCR2 signaling is a vital recruitment mechanism of γδ T cells to the SCI site, and it may be taken as a novel therapeutic target for future SCI.

Indexed as

AnimalsChemokine CCL2Chemotaxis, LeukocyteHumansMiceMice, Inbred C57BLMice, KnockoutReceptors, Antigen, T-Cell, gamma-deltaReceptors, CCR2Signal TransductionSpinal Cord InjuriesT-LymphocytesChemokine CCL2Receptors, Antigen, T-Cell, gamma-deltaReceptors, CCR2CCL2CCR2InflammationSpinal cord injuryγδ T cell

Identifiers

PMID33653377
PMCPMC7927238
OpenAlexW3133762479

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.