Evidence map›Paper›PMID 34899595›Full record

ArticleFrontiers in endocrinology2021

The Polymorphism at PLCB4 Promoter (rs6086746) Changes the Binding Affinity of RUNX2 and Affects Osteoporosis Susceptibility: An Analysis of Bioinformatics-Based Case-Control Study and Functional Validation.

Dung-Jang Tsai, Wen-Hui Fang, Li-Wei Wu, Ming-Cheng Tai, Chung-Cheng Kao, Shih-Ming Huang, Wei-Teing Chen, Po-Jen Hsiao, Chih-Chien Chiu, Wen Su and 2 more

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Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 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 4 institutions in 1 country.

Dung-Jang TsaiGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Wen-Hui FangDepartment of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Li-Wei WuDepartment of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Ming-Cheng TaiDepartment of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Chung-Cheng KaoSuperintendent's Office, Tri-Service General Hospital Songshan Branch, National Defense Medical Center, Taipei, Taiwan.
Shih-Ming HuangDepartment of Biochemistry, National Defense Medical Center, Taipei, Taiwan.
Wei-Teing ChenDivision of Thoracic Medicine, Department of Medicine, Cheng Hsin General Hospital, Taipei, Taiwan.
Po-Jen HsiaoDepartment of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan.
Chih-Chien ChiuDivision of Infectious Diseases, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, National Defense Medical Center, Taoyuan, Taiwan.
Wen SuGraduate Institute of Aerospace and Undersea Medicine, National Defense Medical Center, Taipei, Taiwan.
Chia-Chun WuDepartment of Orthopedics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Sui-Lung SuGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
National Defense Medical Center · TWTri-Service General Hospital · TWCheng Hsin General Hospital · TWTaoyuan Armed Forces General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Genome-wide association studies have identified numerous genetic variants that are associated with osteoporosis risk; however, most of them are present in the non-coding regions of the genome and the functional mechanisms are unknown. In this study, we aimed to investigate the potential variation in runt domain transcription factor 2 (RUNX2), which is an osteoblast-specific transcription factor that normally stimulates bone formation and osteoblast differentiation, regarding variants within RUNX2 binding sites and risk of osteoporosis in postmenopausal osteoporosis (PMOP). Methods: We performed bioinformatics-based prediction by combining whole genome sequencing and chromatin immunoprecipitation sequencing to screen functional SNPs in the RUNX2 binding site using data from the database of Taiwan Biobank; Case-control studies with 651 postmenopausal women comprising 107 osteoporosis patients, 290 osteopenia patients, and 254 controls at Tri-Service General Hospital between 2015 and 2019 were included. The subjects were examined for bone mass density and classified into normal and those with osteopenia or osteoporosis by T-scoring with dual-energy X-ray absorptiometry. Furthermore, mRNA expression and luciferase reporter assay were used to provide additional evidence regarding the associations identified in the association analyses. Chi-square tests and logistic regression were mainly used for statistical assessment. Results: Through candidate gene approaches, 3 SNPs in the RUNX2 binding site were selected. A novel SNP rs6086746 in the PLCB4 promoter was identified to be associated with osteoporosis in Chinese populations. Patients with AA allele had higher risk of osteoporosis than those with GG+AG (adjusted OR = 6.89; 95% confidence intervals: 2.23-21.31, p = 0.001). Moreover, the AA genotype exhibited lower bone mass density (p < 0.05). Regarding mRNA expression, there were large differences in the correlation between PLCB4 and different RUNX2 alleles (Cohen's q = 0.91). Functionally, the rs6086746 A allele reduces the RUNX2 binding affinity, thus enhancing the suppression of PLCB4 expression (p < 0.05). Conclusions: Our results provide further evidence to support the important role of the SNP rs6086746 in the etiology of osteopenia/osteoporosis, thereby enhancing the current understanding of the susceptibility to osteoporosis. We further studied the mechanism underlying osteoporosis regulation by PLCB4.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAgedBiomarkersCase-Control StudiesComputational BiologyCore Binding Factor Alpha 1 SubunitFemaleFollow-Up StudiesGenome-Wide Association StudyHumansMaleOsteoporosisPhospholipase C betaPrognosisTaiwanBiomarkersCore Binding Factor Alpha 1 SubunitPhospholipase C betaPLCB4 protein, humanRUNX2 protein, humanbinding site polymorphismcase-control studyosteoporosisPLCB4runt domain transcription factor 2

Identifiers

PMID34899595
PMCPMC8657146
OpenAlexW4200217560

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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.