Evidence map›Paper›PMID 26814186›Full record

ArticleMolecular & cellular proteomics : MCP2016

Towards Understanding Male Infertility After Spinal Cord Injury Using Quantitative Proteomics.

Barbara Ferreira da Silva, Chen Meng, Dominic Helm, Fiona Pachl, Jürgen Schiller, Emad Ibrahim, Charles M Lynne, Nancy L Brackett, Ricardo Pimenta Bertolla, Bernhard Kuster

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.8field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 31 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 5 institutions in 3 countries.

Barbara Ferreira da SilvaFrom the ‡Human Reproduction Section, Division of Urology, Department of Surgery São Paulo Federal University, Brazil;
Chen Meng§Chair for Proteomics and Bioanalytics, Technische Universität München, Freising, Germany;
Dominic Helm§Chair for Proteomics and Bioanalytics, Technische Universität München, Freising, Germany;
Fiona Pachl§Chair for Proteomics and Bioanalytics, Technische Universität München, Freising, Germany;
Jürgen Schiller¶Medical Department, Institute of Medical Physics, Universität Leipzig, Leipzig, Germany;
Emad Ibrahim‖The Miami Project to Cure Paralysis,University of Miami Miller School of Medicine, Miami, Florida;
Charles M Lynne**Department of Urology, University of Miami Miller School of Medicine, Miami, Florida;
Nancy L Brackett‖The Miami Project to Cure Paralysis,University of Miami Miller School of Medicine, Miami, Florida;
Ricardo Pimenta BertollaFrom the ‡Human Reproduction Section, Division of Urology, Department of Surgery São Paulo Federal University, Brazil;
Bernhard Kuster§Chair for Proteomics and Bioanalytics, Technische Universität München, Freising, Germany; ‡‡Center for Integrated Protein Science Munich (CIPSM), §§Bavarian Biomolecular Mass Spectrometry Center, Technische Universität München, Freising, Germany kuster@tum.de.
Technical University of Munich · DEUniversity of Miami · USCenter for Human Reproduction · USLeipzig University · DEUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of male infertility after spinal cord injury (SCI) has enhanced the understanding of seminal plasma (SP) as an important regulator of spermatozoa function. However, the most important factors leading to the diminished sperm motility and viability observed in semen of men with SCI remained unknown. Thus, to explore SP related molecular mechanisms underlying infertility after SCI, we used mass spectrometry-based quantitative proteomics to compare SP retrieved from SCI patients to normal controls. As a result, we present an in-depth characterization of the human SP proteome, identifying ∼2,800 individual proteins, and describe, in detail, the differential proteome observed in SCI. Our analysis demonstrates that a hyper-activation of the immune system may influence some seminal processes, which likely are not triggered by microbial infection. Moreover, we show evidence of an important prostate gland functional failure,i.e.diminished abundance of metabolic enzymes related to ATP turnover and those secreted via prostasomes. Further we identify the main outcome related to this fact and that it is intrinsically linked to the low sperm motility in SCI. Together, our data highlights the molecular pathways hindering fertility in SCI and shed new light on other causes of male infertility.

Indexed as

AdultGene Expression RegulationGene Regulatory NetworksHumansInfertility, MaleMaleMass SpectrometryMiddle AgedProteomeProteomicsSemenSperm MotilitySpinal Cord InjuriesProteome

Identifiers

PMID26814186
PMCPMC4824865
OpenAlexW2309761463

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.