Evidence map›Paper›PMID 38654926›Full record

ArticleFrontiers in endocrinology2024

Proteomic biomarkers in seminal plasma as predictors of reproductive potential in azoospermic men.

Daniela Fietz, Raouda Sgaier, Liza O'Donnell, Peter G Stanton, Laura F Dagley, Andrew I Webb, Hans-Christian Schuppe, Thorsten Diemer, Adrian Pilatz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.5field-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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

9 authors at 3 institutions in 2 countries.

Daniela FietzDepartment of Veterinary Anatomy, Histology and Embryology, Justus Liebig University Giessen, Giessen, Germany.
Raouda SgaierDepartment of Veterinary Anatomy, Histology and Embryology, Justus Liebig University Giessen, Giessen, Germany.
Liza O'DonnellCentre for Reproductive Health, Hudson Institute of Medical Research, Clayton, VIC, Australia.
Peter G StantonCentre for Reproductive Health, Hudson Institute of Medical Research, Clayton, VIC, Australia.
Laura F DagleyAdvanced Technology and Biology Division, Walter and Eliza Hall Institute, Parkville, VIC, Australia.
Andrew I WebbAdvanced Technology and Biology Division, Walter and Eliza Hall Institute, Parkville, VIC, Australia.
Hans-Christian SchuppeDepartment of Urology, Pediatric Urology and Andrology, Justus Liebig University Giessen, Giessen, Germany.
Thorsten DiemerDepartment of Urology, Pediatric Urology and Andrology, Justus Liebig University Giessen, Giessen, Germany.
Adrian PilatzDepartment of Urology, Pediatric Urology and Andrology, Justus Liebig University Giessen, Giessen, Germany.
Monash University · AUUniversity of Giessen · DEHudson Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Azoospermia, characterized by an absence of sperm in the ejaculate, represents the most severe form of male infertility. While surgical sperm retrieval in obstructive azoospermia (OA) is successful in the majority of cases, patients with non-obstructive azoospermia (NOA) show retrieval rates of only about 50% and thus frequently have unnecessary surgery. Surgical intervention could be avoided if patients without preserved spermatogenesis are identified preoperatively. This prospective study aimed to discover biomarkers in seminal plasma that could be employed for a non-invasive differential diagnosis of OA/NOA in order to rationalize surgery recommendations and improve success rates. Methods: All patients signed written informed consent, underwent comprehensive andrological evaluation, received human genetics to exclude relevant pathologies, and patients with azoospermia underwent surgical sperm retrieval. Using label-free LC-MS/MS, we compared the proteomes of seminal plasma samples from fertile men (healthy controls (HC), n=8) and infertile men diagnosed with 1) OA (n=7), 2) NOA with successful sperm retrieval (mixed testicular atrophy (MTA), n=8), and 3) NOA without sperm retrieval (Sertoli cell-only phenotype (SCO), n=7). Relative abundance changes of two candidate markers of sperm retrieval, HSPA2 and LDHC, were confirmed by Western Blot. Results: We found the protein expression levels of 42 proteins to be significantly down-regulated (p ≤ 0.05) in seminal plasma from SCO NOA patients relative to HC whereas only one protein was down-regulated in seminal plasma from MTA patients. Analysis of tissue and cell expression suggested that the testis-specific proteins LDHC, PGK2, DPEP3, and germ-cell enriched heat-shock proteins HSPA2 and HSPA4L are promising biomarkers of spermatogenic function. Western blotting revealed a significantly lower abundance of LDHC and HSPA2 in the seminal plasma of men with NOA (SCO and MTA) compared to controls. Discussion: The results indicate that certain testis-specific proteins when measured in seminal plasma, could serve as indicators of the presence of sperm in the testis and predict the success of sperm retrieval. Used in conjunction with conventional clinical assessments, these proteomic biomarkers may assist in the non-invasive diagnosis of idiopathic male infertility.

Indexed as

AzoospermiaBiomarkersProteomicsSemenAdultCase-Control StudiesHumansMaleProspective StudiesSpermatogenesisSperm RetrievalBiomarkersazoospermiabiomarkerdiagnosisproteomicsseminal plasmatesticular failure

Identifiers

PMID38654926
PMCPMC11035875
OpenAlexW4394618965

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.