Evidence map›Paper›PMID 31073748›Full record

ArticleCalcified tissue international2019

Long Noncoding RNA Analyses for Osteoporosis Risk in Caucasian Women.

Yu Zhou, Chao Xu, Wei Zhu, Hao He, Lan Zhang, Beisha Tang, Yong Zeng, Qing Tian, Hong-Wen Deng

Open access · greenAbstract read
In one paragraph

Article in Calcified tissue international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Identification of potential pathogenic genes related to osteoporosis and osteoarthritis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  5. Article
  6. Identification of Known and Novel Long Noncoding RNAs Potentially Responsible for the Effects of Bone Mineral Density (BMD) Genomewide Association Study (GWAS) Loci.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Article
  7. Article
  8. The potential role of lncRNAs in osteoporosis.Journal of bone and mineral metabolism · 2021
    Review
  9. The Role of Micro RNA and Long-Non-Coding RNA in Osteoporosis.International journal of molecular sciences · 2020
    Review
  10. Article
  11. Article
  12. Editorial: Old Bones.The journal of nutrition, health & aging · 2020
    Article
  13. The regulatory roles of long noncoding RNAs in osteoporosis.American journal of translational research · 2020
    Review
  14. Article
  15. Article
  16. Review
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

9 authors at 2 institutions in 2 countries.

Yu ZhouCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA.
Chao XuCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA.
Wei ZhuCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA.
Hao HeCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA.
Lan ZhangCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA.
Beisha TangSchool of Basic Medical Science, National Clinical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China.
Yong ZengCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA.
Qing TianCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA.
Hong-Wen DengCenter of Genomics and Bioinformatics, Tulane University, New Orleans, LA, 70112, USA. hdeng2@tulane.edu.
Tulane University · USXiangya Hospital Central South University · CN

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Qi Zhao · 2017 to 2026
$24.3M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
NIAMS NIH HHS R01 AR059781NIAMS NIH HHS R01 AR069055NIA NIH HHS U19 AG055373NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM109036NIH HHS AR069055NIH HHS P20GM109036NIH HHS R01AR059781NIMH NIH HHS R01 MH104680
6 · The paper itself

Abstract

introductionOsteoporosis is a prevalent bone metabolic disease characterized by bone fragility. As a key pathophysiological mechanism, the disease is caused by excessive bone resorption (by osteoclasts) over bone formation (by osteoblasts). Peripheral blood monocytes (PBMs) is a major systemic cell model for bone metabolism by serving as progenitors of osteoclasts and producing cytokines important for osteoclastogenesis. Protein-coding genes for osteoporosis have been widely studied by mRNA analyses of PBMs in high versus low hip bone mineral density (BMD) subjects. However, long noncoding RNAs (lncRNAs), which account for a large proportion of human transcriptome, have seldom been studied.

methodsIn this study, microarray analyses of monocytes were performed using Affymetrix exon 1.0 ST arrays in 73 Caucasian females (age: 47-56). LncRNA profile was generated by re-annotating exon array for lncRNAs detection, which yielded 12,007 lncRNAs mapped to the human genome.

results575 lncRNAs were differentially expressed between the two groups. In the high BMD subjects, 309 lncRNAs were upregulated and 266 lncRNAs were downregulated (nominally significant, raw p-value < 0.05). To investigate the relationship between mRNAs and lncRNAs, we used two approaches to predict the target genes of lncRNAs and found that 26 candidate lncRNAs might regulate mRNA expression. The majority of these lncRNAs were further validated to be potentially correlated with BMD by GWAS analysis.

conclusionOverall, our findings for the first time reported the lncRNAs profiles for osteoporosis and suggested the potential regulatory mechanism of lncRNAs on protein-coding genes in bone metabolism.

Indexed as

AdultBone and BonesBone DensityBone ResorptionExonsFemaleGene Expression ProfilingHumansMiddle AgedModels, GeneticMonocytesOligonucleotide Array Sequence AnalysisOsteoblastsOsteogenesisOsteoporosis, PostmenopausalPostmenopauseRNA, Long NoncodingRNA, MessengerBone mineral densityGene expressionlncRNAsOsteoporosisSystems genetics

Identifiers

PMID31073748
PMCPMC6712977
OpenAlexW2944214785

What OpenQuestion holds

Textmetadata
LicenceTDM
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.