Evidence map›Paper›PMID 34055051›Full record

ArticleExperimental and therapeutic medicine2021

lncRNA WT1-AS is upregulated in osteoporosis and regulates the apoptosis of osteoblasts by interacting with p53.

Chaoqun Wang, Quan Xie, Wen Sun, Ying Zhou, Yu Liu

Open access · diamondAbstract read
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Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 54% 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

4 citing papers in PubMed, 5 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

5 authors at 2 institutions in 1 country.

Chaoqun WangDepartment of Nuclear Medicine, Hainan General Hospital, Haikou, Hainan 570311, P.R. China.
Quan XieDepartment of Nuclear Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570100, P.R. China.
Wen SunDepartment of Nuclear Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570100, P.R. China.
Ying ZhouDepartment of Nuclear Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570100, P.R. China.
Yu LiuCancer Institute Of Hainan Medicail University, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570100, P.R. China.
Hainan Medical University · CNHainan General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cervical cancer, cellular tumor antigen p53 (p53) interacts with long non-coding WT1 antisense RNA (WT1-AS) and this protein serves an important role in osteoporosis. The present study aimed to investigate the role of WT1-AS in osteoporosis. WT1-AS was upregulated in the plasma of patients with osteoporosis and was positively correlated with p53 expression. Altered expression of WT1-AS and p53 separated patients with osteoporosis from healthy controls. Expression levels of WT1-AS and p53 decreased with prolonged treatment. In osteoblasts, WT1-AS overexpression resulted in increased p53 expression, while WT1-AS small interfering RNA (siRNA) silencing resulted in decreased p53 expression. In addition, WT1-AS overexpression resulted in increased apoptosis rate, while WT1-AS siRNA silencing resulted in decreased apoptosis rate in osteoblasts. p53 overexpression attenuated the effects of WT1-AS siRNA silencing on cell apoptosis. Therefore, WT1-AS was upregulated during osteoporosis and regulated the apoptosis of osteoblasts by interacting with p53.

Indexed as

cellular tumor antigen p53osteoblastosteoporosisWT1 antisense RNA

Identifiers

PMID34055051
PMCPMC8138279
OpenAlexW3161856740

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.