Evidence map›Paper›PMID 38715824›Full record

ArticleAmerican journal of translational research2024

Unveiling the unexplored novel signatures for osteoporosis via a detailed bioinformatics and molecular experiments based approach.

Huan Zhou, Yousaf Gul, Yasir Hameed, Majid Alhomrani, Saleh A Alghamdi, Abdulraheem Ali Almalki, Meshari A Alsuwat, Naif ALSuhaymi, Rida Naz, Guang Chen

Abstract read
In one paragraph

Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Huan ZhouDepartment of Medical Oncology, The Second Hospital of Dalian Medical University Dalian, Liaoning, China.
Yousaf GulGomal Medical College, District Headquarter Teaching Hospital Dera Ismail Khan KPK, Pakistan.
Yasir HameedDepartment of Biotechnology, Institute of Biochemistry Biotechnology, and Bioinformatics, The Islamia University of Bahawalpur Pakistan.
Majid AlhomraniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
Saleh A AlghamdiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
Abdulraheem Ali AlmalkiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
Meshari A AlsuwatDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
Naif ALSuhaymiDepartment of Emergency Medical Services, Faculty of Health Science-AlQunfudah, Umm Al-Qura University Makkah 21955, Saudi Arabia.
Rida NazRegional Blood Centre, KPK Health Program Dera Ismail Khan 29050, Pakistan.
Guang ChenDepartment of Orthopedic Surgery, The Second Hospital of Dalian Medical University Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis (OP) stands as a prevalent bone ailment affecting the elderly, globally. The identification of reliable diagnostic markers crucially aids OP clinical management.

methodsUtilizing the GEO database (GSE35959), we acquired expression profiles for OP and normal samples. Differential expression genes (DEGs) and hub genes were pinpointed through STRING, GEO2R, and Cytoscape. The competing endogenous RNA (ceRNA) network was constructed using miRTarBase, miRDB, and MiRcode databases. Gene Ontology (GO) and KEGG pathway enrichment analyses were performed via DAVID. Validation involved clinical OP samples from the Pakistani population, with Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) assessing hub gene expression.

resultsA total of 2124 differentially expressed genes (DEGs) were identified between OP and normal samples in GSE35959. The selected hub genes among these DEGs were Splicing Factor 3a Subunit 1 (SF3A1), Ataxin 2 Like (ATXN2L), Heat Shock Protein 90 Beta Family Member 1 (HSP90B1), Cluster of Differentiation 74 (CD74), DExH-Box Helicase 29 (DHX29), ALG5 Dolichyl-Phosphate Beta-Glucosyltransferase (ALG5), NudC Domain Containing 2 (NUDCD2), and Ras-related protein Rab-2A (RAB2A). Expression validation of these genes on the Pakistani OP patients revealed significant up-regulation of SF3A1, ATXN2L, and CD74 and significant (P < 0.05) down-regulation of HSP90B1, DHX29, ALG5, NUDCD2, and RAB2A in OP patients. Receiver operating characteristic (ROC) analysis demonstrated that these hub genes displayed considerable diagnostic accuracy for detecting OP. The ceRNA network analysis of the hub genes revealed some important hub genes' regulatory miRNAs and lncRNAs. Via KEGG analysis, hub genes were found to be enriched in N-Glycan biosynthesis, Thyroid hormone synthesis, IL-17 signaling pathway, Prostate cancer, AMPK signaling pathway, Spliceosome, Estrogen signaling pathway, and Fluid shear stress and atherosclerosis, etc., pathways.

conclusionThe identified eight hub genes in the present study could reliably distinguish OP patients from normal individuals, which may provide novel insight into the diagnostic research of OP.

Indexed as

AMPK signaling pathwaydiagnostic signaturesOsteoporosis (OP)

Identifiers

PMID38715824
PMCPMC11070346

What OpenQuestion holds

Textmetadata
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.