Seminal long non-coding RNAs as prognostic non-invasive biomarkers in non-obstructive azoospermia

Non-obstructive azoospermia (NOA) is a multifactorial disease with high genetic and phenotypic heterogeneity. The main NOA pathogenesis is still unknown, which makes it challenging to find precise biomarkers for this condition. Long non-coding RNAs (lncRNAs) have been linked to many processes related to male reproductive health, such as spermatogenesis and sperm maturation. So, this study investigated a panel of seven lncRNAs from the seminal plasma of patients with NOA, which has the potential to be used as noninvasive prognostic biomarkers in NOA. The differential gene expression for seven seminal lncRNAs was assessed for 106 male subjects—53 patients with NOA and 53 normal male volunteers using qRT-PCR —followed by correlational and bioinformatics analysis for the study results. Six lncRNAs - CDKN2B-AS1, H19, Linc-ROR, MALAT1, MIAT, and TUG1 - showed significant differential expression between NOA and normal males. Regarding the potency of this panel as NOA diagnostic biomarkers, TUG1 (0.94), CDKN2B-AS1 (0.90), H19 (0.90), Linc-ROR (0.87), and MALAT1 (0.80) showed to be excellent biomarkers. On the other side, the potency of this panel as prognostic biomarkers for TESE outcome prediction showed that Linc-ROR, TUG1, CDKN2B-AS1, and H19 were very good biomarkers. LncRNAs hold the potential to improve the current knowledge about male infertility pathogenesis by highlighting their role in the pathophysiology of NOA and their potential clinical utility in its diagnosis and prognosis.

Authors

Institutions

Publication Details

Journal
BMC Medical Genomics
Published
2026-01-13
DOI
https://doi.org/10.1186/s12920-025-02207-3
Primary Topic
Sperm and Testicular Function
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seminal long non-coding RNAs as prognostic non-invasive biomarkers in non-obstructive azoospermia

Nada Ahmed, Ezzat A. Ismail, Hoda Y. Abdallah, Nora Hosny
BMC Medical Genomics
Sperm and Testicular Function
article

Seminal long non-coding RNAs as prognostic non-invasive biomarkers in non-obstructive azoospermia

Nada Ahmed, Ezzat A. Ismail, Hoda Y. Abdallah, Nora Hosny
article en

Abstract

Non-obstructive azoospermia (NOA) is a multifactorial disease with high genetic and phenotypic heterogeneity. The main NOA pathogenesis is still unknown, which makes it challenging to find precise biomarkers for this condition. Long non-coding RNAs (lncRNAs) have been linked to many processes related to male reproductive health, such as spermatogenesis and sperm maturation. So, this study investigated a panel of seven lncRNAs from the seminal plasma of patients with NOA, which has the potential to be used as noninvasive prognostic biomarkers in NOA. The differential gene expression for seven seminal lncRNAs was assessed for 106 male subjects—53 patients with NOA and 53 normal male volunteers using qRT-PCR —followed by correlational and bioinformatics analysis for the study results. Six lncRNAs - CDKN2B-AS1, H19, Linc-ROR, MALAT1, MIAT, and TUG1 - showed significant differential expression between NOA and normal males. Regarding the potency of this panel as NOA diagnostic biomarkers, TUG1 (0.94), CDKN2B-AS1 (0.90), H19 (0.90), Linc-ROR (0.87), and MALAT1 (0.80) showed to be excellent biomarkers. On the other side, the potency of this panel as prognostic biomarkers for TESE outcome prediction showed that Linc-ROR, TUG1, CDKN2B-AS1, and H19 were very good biomarkers. LncRNAs hold the potential to improve the current knowledge about male infertility pathogenesis by highlighting their role in the pathophysiology of NOA and their potential clinical utility in its diagnosis and prognosis.

BMC Medical GenomicsVol. 19(1)
Suez Canal University (EG)
Openalex Percentile: Top 90%
Sperm and Testicular Function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.