Evidence map›Paper›PMID 25879484›Full record

ArticleBMC genomics2015

Deregulation of sertoli and leydig cells function in patients with Klinefelter syndrome as evidenced by testis transcriptome analysis.

Marco D'Aurora, Alberto Ferlin, Marta Di Nicola, Andrea Garolla, Luca De Toni, Sara Franchi, Giandomenico Palka, Carlo Foresta, Liborio Stuppia, Valentina Gatta

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 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

10 authors at 2 institutions in 1 country.

Marco D'AuroraDepartment of Psychological, Humanities and Territorial Sciences, School of Medicine and Health Sciences, "G.d'Annunzio" University, Via Dei Vestini 31, 66100, Chieti-Pescara, Italy. m.daurora@unich.it.
Alberto FerlinDepartment of Medicine, Section of Endocrinology and Centre for Human Reproduction Pathology, University of Padova, Via Giustiniani 2, 35128, Padova, Italy. alberto.ferlin@unipd.it.
Marta Di NicolaDepartment of Sperimental and Clinical Sciences, School of Medicine and Health Sciences, "G.d'Annunzio" University, Via dei Vestini 31, 66100, Chieti-Pescara, Italy. mdinicola@unich.it.
Andrea GarollaDepartment of Medicine, Section of Endocrinology and Centre for Human Reproduction Pathology, University of Padova, Via Giustiniani 2, 35128, Padova, Italy. andrea.garolla@unipd.it.
Luca De ToniDepartment of Medicine, Section of Endocrinology and Centre for Human Reproduction Pathology, University of Padova, Via Giustiniani 2, 35128, Padova, Italy. luca.detoni@unipd.it.
Sara FranchiDepartment of Psychological, Humanities and Territorial Sciences, School of Medicine and Health Sciences, "G.d'Annunzio" University, Via Dei Vestini 31, 66100, Chieti-Pescara, Italy. sara.franchi2@virgilio.it.
Giandomenico PalkaDepartment of Oral Health and Biotechnological Sciences, School of Medicine and Health Sciences, "G.d'Annunzio" University, Via dei Vestini 31, 66100, Chieti-Pescara, Italy. gdpalka@unich.it.
Carlo ForestaDepartment of Medicine, Section of Endocrinology and Centre for Human Reproduction Pathology, University of Padova, Via Giustiniani 2, 35128, Padova, Italy. carlo.foresta@unipd.it.
Liborio StuppiaDepartment of Psychological, Humanities and Territorial Sciences, School of Medicine and Health Sciences, "G.d'Annunzio" University, Via Dei Vestini 31, 66100, Chieti-Pescara, Italy. stuppia@unich.it.
Valentina GattaDepartment of Psychological, Humanities and Territorial Sciences, School of Medicine and Health Sciences, "G.d'Annunzio" University, Via Dei Vestini 31, 66100, Chieti-Pescara, Italy. v.gatta@unich.it.
University of Padua · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKlinefelter Syndrome (KS) is the most common abnormality of sex chromosomes (47,XXY) and represents the first genetic cause of male infertility. Mechanisms leading to KS testis degeneration are still not completely defined but considered to be mainly the result of germ cells loss. In order to unravel the molecular basis of global testis dysfunction in KS patients, we performed a transcriptome analysis on testis biopsies obtained from 6 azoospermic non-mosaic KS patients and 3 control subjects.

resultsThe analysis found that, compared to controls, KS patients showed the differential up- and down-expression of 656 and 247 transcripts. The large majority of the deregulated transcripts were expressed by Sertoli cells (SCs) and Leydig cells (LCs). Functional analysis of the deregulated transcripts indicated changes of genes involved in cell death, inflammatory response, lipid metabolism, steroidogenesis, blood-testis-barrier formation and maintenance, as well as spermatogenesis failure.

conclusionsTaken together, present data highlight the modulation of hundreds of genes in the somatic components of KS patient testis. The increased LCs steroidogenic function together with the impairment of inflammatory pathways and BTB structure, result in increased apoptosis. These findings may represent a critical roadmap for therapeutic intervention and prevention of KS-related testis failure.

Indexed as

AdultBlood-Testis BarrierCluster AnalysisDown-RegulationGene Regulatory NetworksHumansInfertility, MaleKaryotypeKlinefelter SyndromeLeydig CellsLipid MetabolismMaleSertoli CellsSex ChromosomesSignal TransductionSpermatogenesis

Identifiers

PMID25879484
PMCPMC4362638
OpenAlexW2076160550

What OpenQuestion holds

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LicenceCC BY
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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.