Evidence map›Paper›PMID 35095774›Full record

ArticleFrontiers in endocrinology2021

Analysis and Validation of Hub Genes in Blood Monocytes of Postmenopausal Osteoporosis Patients.

Yi-Xuan Deng, Wen-Ge He, Hai-Jun Cai, Jin-Hai Jiang, Yuan-Yuan Yang, Yan-Rong Dan, Hong-Hong Luo, Yu Du, Liang Chen, Bai-Cheng He

Open access · goldAbstract read
In one paragraph

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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Journal of musculoskeletal & neuronal interactions · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Bioinformatic identification of hub genesFrontiers in neuroscience · 2023
    Article
  18. Frontiers in genetics · 2023
    Article
  19. Article
  20. Article
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

10 authors at 2 institutions in 1 country.

Yi-Xuan DengDepartment of Pharmacology, School of Pharmacy, Chongqing Medical University, Chongqing, China.
Wen-Ge HeKey Laboratory of Biochemistry and Molecular Pharmacology of Chongqing, Chongqing Medical University, Chongqing, China.
Hai-Jun CaiDepartment of Pharmacology, School of Pharmacy, Chongqing Medical University, Chongqing, China.
Jin-Hai JiangDepartment of Pharmacology, School of Pharmacy, Chongqing Medical University, Chongqing, China.
Yuan-Yuan YangDepartment of Pharmacology, School of Pharmacy, Chongqing Medical University, Chongqing, China.
Yan-Rong DanDepartment of Pharmacology, School of Pharmacy, Chongqing Medical University, Chongqing, China.
Hong-Hong LuoDepartment of Pharmacology, School of Pharmacy, Chongqing Medical University, Chongqing, China.
Yu DuDepartment of Orthopaedics, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Liang ChenDepartment of Orthopaedics, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Bai-Cheng HeDepartment of Pharmacology, School of Pharmacy, Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNSecond Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis is a common systemic bone disease caused by the imbalance between osteogenic activity and osteoclastic activity. Aged women are at higher risk of osteoporosis, partly because of estrogen deficiency. However, the underlying mechanism of how estrogen deficiency affects osteoclast activity has not yet been well elucidated. In this study, GSE2208 and GSE56815 datasets were downloaded from GEO database with 25 PreH BMD women and 25 PostL BMD women in total. The RRA algorithm determined 38 downregulated DEGs and 30 upregulated DEGs. Through GO analysis, we found that downregulated DEGs were mainly enriched in myeloid cell differentiation, cytokine-related functions while upregulated DEGs enriched in immune-related biological processes; pathways like Notch signaling and MAPK activation were found in KEGG/Rectome pathway database; a PPI network which contains 66 nodes and 91 edges was constructed and three Modules were obtained by Mcode; Correlation analysis helped us to find highly correlated genes in each module. Moreover, three hub genes FOS, PTPN6, and CTSD were captured by Cytohubba. Finally, the hub genes were further confirmed in blood monocytes of ovariectomy (OVX) rats by real-time PCR assay. In conclusion, the integrative bioinformatics analysis and real-time PCR analysis were utilized to offer fresh light into the role of monocytes in premenopausal osteoporosis and identified FOS, PTPN6, and CTSD as potential biomarkers for postmenopausal osteoporosis.

Indexed as

OsteoporosisOsteoporosis, PostmenopausalAgedAnimalsComputational BiologyFemaleGene Expression ProfilingHumansMonocytesRatsenrichment analysishub genesmicroarrayOVXpostmenopausal osteoporosis

Identifiers

PMID35095774
PMCPMC8792966
OpenAlexW4205538398

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.