Evidence map›Paper›PMID 35932080›Full record

ArticleStem cell research & therapy2022

Role of TRPC6 in periodontal tissue reconstruction mediated by appropriate stress.

Li Wang, Hong Liang, Bingjing Sun, Jing Mi, Xianqin Tong, Yuhui Wang, Meihua Chen, Liming Yu, Jie Pan, Shangfeng Liu and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stem cell research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.7field-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

13 citing papers in PubMed, 33 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Li Wang *Department of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Hong Liang *Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Department of Systems Biology for Medicine, Fudan University, Shanghai, 200032, China.
Bingjing SunDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Jing MiDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Xianqin TongDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Yuhui WangDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Meihua ChenDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Liming YuDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Jie PanDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Shangfeng LiuShanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Shanghai Stomatological Hospital, Fudan University, Shanghai, 200001, China. Shangfeng_liu683@fudan.edu.en.
Yan-Jun LiuShanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Department of Systems Biology for Medicine, Fudan University, Shanghai, 200032, China. Yanjun_Liu@fudan.edu.cn.
Yuehua LiuDepartment of Orthodontics, Shanghai Stomatological Hospital, Fudan University, Shanghai, China. liuyuehua@fudan.edu.cn.ORCID 0000-0003-3033-8873
Fudan University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe basis of orthodontic tooth movement (OTM) is the reconstruction of periodontal tissue under stress. Increasing the speed of OTM has always been the focus of attention.

objectivesPeriodontal ligament stem cells (PDLSCs) are direct effector cells of mechanical force, but the mechanism by which PDLSCs sense mechanical stimuli is unclear.

methodsHuman PDLSCs (hPDLSCs) were analyzed in the presence or absence of force loading with the Flexcell loading system in vitro. Then, periodontal tissues were analyzed after mechanical stimulation in vivo. In addition, cells in a confined microenvironment were analyzed to observe changes in the cytoskeleton and migration. Finally, TRPC6

resultsRNA sequencing (RNA-seq) and western blot analyses revealed that TRPC6 was important during mechanical force application to hPDLSCs. Appropriate mechanical force application also induced TRPC6 activation in the OTM model and the confined microenvironment. Under a slightly confined microenvironment, treatment with the TRPC6 inhibitor SKF96365 and TRPC6 knockout decreased the migration speed of hPDLSCs and mouse bone marrow mesenchymal stem cells (mBMSCs). In addition, TRPC6

conclusionIn summary, TRPC6 activation in PDLSCs mediated by appropriate mechanical force application contributes to periodontal tissue reconstruction. PDLSCs modulate periodontal tissue remodeling under appropriate mechanical stimulation through TRPC6; however, under excessive stress, alveolar bone and tooth roots are readily absorbed. Under this condition, environmental factors play a leading role, and the regulatory effect of TRPC6 is not obvious.

Indexed as

Mesenchymal Stem CellsPeriodontal LigamentAnimalsCell DifferentiationHumansMiceOsteogenesisStem CellsTooth Movement TechniquesTRPC6 Cation ChannelTRPC6 Cation ChannelTRPC6 protein, humanTrpc6 protein, mouseA confined microenvironmentMechanical forcePeriodontal ligament stem cellsTRPC6TRPC6 −/− mice

Identifiers

PMID35932080
PMCPMC9354362
OpenAlexW4289868773

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.