Prognostic ability of seminal  plasma lipidomic analysis in predicting the success of microTESE  in men with azoospermia

Гамидов, С. И.; Shatylko, T. V.; Tambiev, A.Kh. Tambiev; Tokareva, A.O. Tokareva; Chagovets, V.V. Chagovets; Bitsoev, T.B. Bitsoev; Starodubtseva, N.L. Starodubtseva; Popova, Alina; Frankevich, V.E. Frankevich

doi:10.18565/urology.2022.4.32-37

Cited by 6 publications

(5 citation statements)

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“…A medium-chain TG-replacement diet can improve sperm quality in patients with asthenozoospermia, with low levels of serum non-esterified fatty acids being an effective non-pharmacological treatment method (Masaki et al, 2017 ). In azoospermia patients, the concentration of TG(14:1_16:0_18:3) in seminal plasma is one of the indicators predicting the success rate of sperm retrieval in testicular microdissection, with a sensitivity of 61%, specificity of 83%, and an AUC of 0.75 (Gamidov et al, 2022 ). Our study, using random forest model analysis, identified TG(4:0_14:1_16:0) as a potential biomarker for diagnosing necrozoospermia, with a sensitivity of 63%, specificity of 100%, and an AUC of 0.82.…”

Section: Discussionmentioning

confidence: 99%

Lipidomics random forest algorithm of seminal plasma is a promising method for enhancing the diagnosis of necrozoospermia

Deng,

Wang,

et al. 2024

Metabolomics

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Background Despite the clear clinical diagnostic criteria for necrozoospermia in andrology, the fundamental mechanisms underlying it remain elusive. This study aims to profile the lipid composition in seminal plasma systematically and to ascertain the potential of lipid biomarkers in the accurate diagnosis of necrozoospermia. It also evaluates the efficacy of a lipidomics-based random forest algorithm model in identifying necrozoospermia. Methods Seminal plasma samples were collected from patients diagnosed with necrozoospermia (n = 28) and normozoospermia (n = 28). Liquid chromatography–mass spectrometry (LC–MS) was used to perform lipidomic analysis and identify the underlying biomarkers. A lipid functional enrichment analysis was conducted using the LION lipid ontology database. The top 100 differentially significant lipids were subjected to lipid biomarker examination through random forest machine learning model. Results Lipidomic analysis identified 46 lipid classes comprising 1267 lipid metabolites in seminal plasma. The top five enriched lipid functions as follows: fatty acid (FA) with ≤ 18 carbons, FA with 16–18 carbons, monounsaturated FA, FA with 18 carbons, and FA with 16 carbons. The top 100 differentially significant lipids were subjected to machine learning analysis and identified 20 feature lipids. The random forest model identified lipids with an area under the curve > 0.8, including LPE(20:4) and TG(4:0_14:1_16:0). Conclusions LPE(20:4) and TG(4:0_14:1_16:0), were identified as differential lipids for necrozoospermia. Seminal plasma lipidomic analysis could provide valuable biochemical information for the diagnosis of necrozoospermia, and its combination with conventional sperm analysis may improve the accuracy and reliability of the diagnosis.

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Section: Discussionmentioning

confidence: 99%

Lipidomics random forest algorithm of seminal plasma is a promising method for enhancing the diagnosis of necrozoospermia

Deng,

Wang,

et al. 2024

Metabolomics

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“…Beyond the sperm component of the ejaculate, the seminal plasma in which they are bathed is also recognized as comprising a rich variety of biomolecules; many of which could potentially serve as non-invasive biomarkers of a male's fertility status [e.g. proteins (125,184,185), small-molecule metabolites (186), lipids (187), cellfree nucleic acid (DNA, sncRNA and lncRNA) (188)(189)(190)(191), as well as antioxidant agents and inorganic chemicals (ions) (192)]. Indeed, seminal plasma is an elaborate nutrient-rich fluid generated by the accessory glands of the male reproductive tract, which constitutes as much as 95% of human semen (193).…”

Section: Seminal Plasma Biomarkersmentioning

confidence: 99%

New horizons in human sperm selection for assisted reproduction

Nixon

Schjenken²,

Burke³

et al. 2023

Front. Endocrinol.

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Male infertility is a commonly encountered pathology that is estimated to be a contributory factor in approximately 50% of couples seeking recourse to assisted reproductive technologies. Upon clinical presentation, such males are commonly subjected to conventional diagnostic andrological practices that rely on descriptive criteria to define their fertility based on the number of morphologically normal, motile spermatozoa encountered within their ejaculate. Despite the virtual ubiquitous adoption of such diagnostic practices, they are not without their limitations and accordingly, there is now increasing awareness of the importance of assessing sperm quality in order to more accurately predict a male’s fertility status. This realization raises the important question of which characteristics signify a high-quality, fertilization competent sperm cell. In this review, we reflect on recent advances in our mechanistic understanding of sperm biology and function, which are contributing to a growing armory of innovative approaches to diagnose and treat male infertility. In particular we review progress toward the implementation of precision medicine; the robust clinical adoption of which in the setting of fertility, currently lags well behind that of other fields of medicine. Despite this, research shows that the application of advanced technology platforms such as whole exome sequencing and proteomic analyses hold considerable promise in optimizing outcomes for the management of male infertility by uncovering and expanding our inventory of candidate infertility biomarkers, as well as those associated with recurrent pregnancy loss. Similarly, the development of advanced imaging technologies in tandem with machine learning artificial intelligence are poised to disrupt the fertility care paradigm by advancing our understanding of the molecular and biological causes of infertility to provide novel avenues for future diagnostics and treatments.

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“…Beyond the sperm component of the ejaculate, the seminal plasma in which they are bathed is also recognized as comprising a rich variety of biomolecules; many of which could potentially serve as non-invasive biomarkers of a male's fertility status [e.g. proteins (125, 184, 185), small-molecule metabolites (186), lipids (187), cellfree nucleic acid (DNA, sncRNA and lncRNA) (188)(189)(190)(191), as well as antioxidant agents and inorganic chemicals (ions) (192)]. Indeed, seminal plasma is an elaborate nutrient-rich fluid generated by the accessory glands of the male reproductive tract, which constitutes as much as 95% of human semen (193).…”

Section: Seminal Plasma Biomarkersmentioning

confidence: 99%

Novel Insights into Sperm Function and Selection: from Basic Research to Clinical Application

Li,

Luo,

Cannarella

2023

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Prognostic ability of seminal plasma lipidomic analysis in predicting the success of microTESE in men with azoospermia

Cited by 6 publications

References 0 publications

Lipidomics random forest algorithm of seminal plasma is a promising method for enhancing the diagnosis of necrozoospermia

Lipidomics random forest algorithm of seminal plasma is a promising method for enhancing the diagnosis of necrozoospermia

New horizons in human sperm selection for assisted reproduction

Novel Insights into Sperm Function and Selection: from Basic Research to Clinical Application

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