CEEPC/IPM/CMSC - Abstrakt prezentace

(CEEPC/IPM/CMSC 2022 - FrO-15)
Identification of potential biomarkers for azoospermia by human testis proteomic analysis

Katarina Davalieva 1 *, Aleksandar Rusevski 1, Milan Velkov 1, Predrag Noveski 1, Katerina Kubelka-Sabit 2, Vanja Filipovski 2, Toso Plaseski 3, Aleksandar Dimovski 1,4, Dijana Plaseska-Karanfilska 1

  1. RCGEB “Georgi D Efremov”, Macedonian Academy of Sciences and Arts, Skopje, North Macedonia
  2. Laboratory for Histopathology, Clinical Hospital “Sistina”, Skopje, North Macedonia
  3. Faculty of Medicine, Endocrinology and Metabolic Disorders Clinic, Skopje, North Macedonia
  4. Faculty of Pharmacy, University “St. Cyril and Methodius”, Skopje, North Macedonia


Azoospermia, as the most severe form of male infertility, no longer indicates sterility due to medical advancements. As the current diagnosis is based on testicular biopsy, there is a high need for non-invasive testing. The key point here is the identification of testis-specific proteins that could accurately pinpoint the stage of spermatogenesis failure.
The aim of this study was the identification of proteome differences in human testicular tissues among obstructive azoospermia (OA) and non-obstructive (NOA) subtypes hypospermatogenesis (Hyp) and Sertoli cell-only syndrome (SCO).
We have analyzed 27 FFPE testicular tissues using highly efficient extraction/digestion procedure [1] and label-free data-independent LC-MS/MS acquisition coupled with ion mobility. Validation was done on additional 49 FFPE testicular tissues using qPCR.
Out of 2044 proteins identified based on ≥2 peptides, 61 proteins had the power to quantitatively discriminate OA from NOA and 30 to quantitatively discriminate SCO from Hyp and OA. Among these, H1-6, RANBP1 and TKTL2 showed superior potential for quantitative discrimination among OA, Hyp and SCO. Bioinformatics enrichment analysis revealed an association with several GO annotations and pathways. Comparison with 2 transcriptome datasets revealed 278 and 55 co-differentially expressed proteins/genes with statistically significant positive correlation. Gene expression analysis by qPCR of 6 genes with the highest discriminatory power on protein level and the same regulation trend with transcriptomic datasets, confirmed the proteomics results.
Data from our study provides deep insights into the proteins involved in spermatogenesis failure and gives a number of potential candidates for discrimination between OA and NOA.

* Korespondující autor: katarina@manu.edu.mk


  1. Davalieva, K. et al.: J Proteomics, 235, 104117.

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