Evidence map›Paper›PMID 37500704›Full record

ArticleScientific reports2023

Identification and verification of potential biomarkers in sertoli cell-only syndrome via bioinformatics analysis.

Yuting Jiang, Xiao Yang, Linlin Li, Xin Lv, Ruixue Wang, Hongguo Zhang, Ruizhi Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Yuting JiangReproductive Medicine Center, Prenatal Diagnosis Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, China.
Xiao YangReproductive Medicine Center, Prenatal Diagnosis Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, China.
Linlin LiReproductive Medicine Center, Prenatal Diagnosis Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, China.
Xin LvReproductive Medicine Center, Prenatal Diagnosis Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, China.
Ruixue WangReproductive Medicine Center, Prenatal Diagnosis Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, China.
Hongguo ZhangReproductive Medicine Center, Prenatal Diagnosis Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, China.
Ruizhi LiuReproductive Medicine Center, Prenatal Diagnosis Center, First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130021, China. liurz@jlu.edu.cn.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sertoli cell-only syndrome (SCOS), a severe testicular spermatogenic failure, is characterized by total absence of male germ cells. To better expand the understanding of the potential molecular mechanisms of SCOS, we used microarray datasets from the Gene Expression Omnibus (GEO) and ArrayExpress databases to determine the differentially expressed genes (DEGs). In addition, functional enrichment analysis including the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) was performed. Protein-protein interaction (PPI) networks, modules, and miRNA-mRNA regulatory networks were constructed and analyzed and the validation of hub genes was performed. A total of 601 shared DEGs were identified, including 416 down-regulated and 185 up-regulated genes. The findings of the enrichment analysis indicated that the shared DEGs were mostly enriched in sexual reproduction, reproductive process, male gamete generation, immune response, and immunity-related pathways. In addition, six hub genes (CCNA2, CCNB2, TOP2A, CDC20, BUB1, and BUB1B) were selected from the PPI network by using the cytoHubba and MCODE plug-ins. The expression levels of the hub genes were significantly decreased in patients with SCOS compared to that in normal spermatogenesis controls as indicated by the microarray data, single-cell transcriptomic data, and clinical sample levels. Furthermore, the potential miRNAs were predicted via the miRNA-mRNA network construction. These hub genes and miRNAs can be used as potential biomarkers that may be related to SCOS. However, it has not been proven that the differential expression of these biomarkers is the molecular pathogenesis mechanisms of SCOS. Our findings suggest that these biomarkers can be serve as clinical tool for diagnosis targets and may have some impact on the spermatogenesis of SCOS from a testicular germ cell perspective.

Indexed as

MicroRNAsSertoli Cell-Only SyndromeBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleRNA, MessengerBiomarkers, TumorMicroRNAsRNA, Messenger

Identifiers

PMID37500704
PMCPMC10374527
OpenAlexW4385329354

What OpenQuestion holds

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LicenceCC BY
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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.