Submitted:
09 May 2025
Posted:
12 May 2025
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Abstract
Keywords:
1. Introduction
2. Methods
2.1. Sources
2.2. Study Selection
- Design: Original research articles including observational studies, clinical trials, case reports, and technical method evaluations; reviews and small cohort studies were excluded.
- Patient inclusion criteria: Human males with infertility of various etiologies, including idiopathic infertility and metabolic-related dysfunctions affecting sperm quality.
- Patient exclusion criteria: Review articles, studies involving animal models; male infertility with well-established causes such as varicocele, cryptorchidism, infections of male accessory glands, genetic abnormalities (e.g., Y chromosome microdeletions), testicular torsion or trauma, and systemic diseases including thyroid, pituitary, adrenal disorders, kidney or liver failure.
- Study intervention: Application or evaluation of diagnostic or research tools and techniques aimed at identifying biomarkers or characterizing sperm metabolic pathways and developmental processes.
- Study outcome: Assessment of the utility, accuracy, and relevance of advanced methods and emerging technologies for evaluating sperm metabolism and their usefulness in diagnosing or understanding metabolic sperm-related infertility.
3. Results
4. Energy Metabolism Pathways in Spermatozoa
5. Energy Metabolism Pathways in Spermatozoa
5.1. Metabolic Substrates and Transport
5.2. Metabolic Adaptations During Maturation and Transit
6. Molecular Biomarkers and Oxidative Stress
7. Influence of the Seminal Microbiome
8. Advanced Techniques and Tools for Evaluating Sperm Metabolism
9. Clinical Implications: Metabolic Dysfunction in Male Infertility
10. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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| Authors | Study Aim | Methods/Tools | Results |
|---|---|---|---|
| Agarwal et al., 2015 [41] | Identify seminal plasma proteins involved in ROS-mediated male infertility |
|
|
| Almeida et al., 2011 [52] | Quantify testicular sperm apoptosis via active caspase-3 in normal and impaired spermatogenesis |
|
|
| Amaral et al., 2013 [8] | Characterize human sperm tail proteome, focusing on metabolism-related proteins |
|
|
| Aziz et al., 2010 [50] | Determine cell type contributions to intracellular H2O2 and peroxynitrite production in sperm |
|
|
| Barceló et al., 2018 [53] | Evaluate seminal plasma exosomal mirnas as markers for Azoospermia origin and sperm presence |
|
|
| Boguenet et al., 2020 [42] | Assess metabolomic signatures of seminal plasma in severe Oligoasthenospermia |
|
|
| Calle-Guisado et al., 2017 [54] | Identify and localize AMP- activated protein kinase (AMPK) in human sperm and evaluate its role in sperm motility |
|
|
| Calvert et al., 2019 [48] | Investigate sperm metabolism |
|
|
| Cassina et al., 2015 [40] | Analyze mitochondrial function and oxidative stress in human sperm affecting fertility |
|
|
| Costa et al., 2018 [47] | Assessement of sperm DNA damage and biochemical features |
|
|
| Deng et al., 2024 [55] | Profile seminal plasma lipid composition in necrozoospermia and evaluate lipid biomarkers |
|
|
| Fietz et al., 2024 [56] | Discover seminal plasma biomarkers for non-invasive differential diagnosis of Obstructive Azoospermia (OA) vs. Non-Obstructive Azoospermia (NOA) |
|
|
| Fukuda et al., 2016 [57] | Assess impact of seminal clusterin level on spermatogenesis and sperm retrieval in infertile men |
|
|
| Hashemitabar et al., 2015 [58] | Identify novel biomarkers for asthenozoospermia via sperm tail proteomic analysis |
|
|
| He et al., 2024 [9] | Investigate seminal microbiome and metabolome role in high sperm DNA fragmentation index (HDFI) |
|
|
| Irigoyen et al., 2022 [51] | Assess sperm mitochondrial metabolism and ROS production as tools to complement semen analysis |
|
|
| Jayaraman et al., 2014 [59] | Analyze seminal plasma metabolic profiles in idiopathic/male factor infertility |
|
|
| Kyrgiafini et al., 2023 [60] | Identify lncRNA mutations and expression in teratozoospermia |
|
|
| Larriba et al., 2024 [46] | Small RNA profiling in seminal extracellular vesicles for azoospermia classification |
|
|
| Li et al., 2022 [61] | Investigate DNA methylation patterns in asthenozoospermia |
|
|
| Liang et al., 2021 [62] | Proteomic profiling of sperm in severe oligoasthenoteratozoospermia |
|
|
| Liu et al., 2014 [63] | Identify spermatogenesis in testicular tissue |
|
|
| Martins et al., 2020 [64] | Characterize seminal plasma proteome in primary and secondary infertility |
|
|
| Milardi et al., 2014 [10] | Identify seminal biomarkers for secondary male hypogonadism (HH) |
|
|
| Olesti et al., 2023 [65] | Correlate metabolomic profiles with semen quality in young men |
|
|
| Olesti et al., 2020 [66] | Develop steroidomics strategy for human seminal fluid |
|
|
| Paiva et al., 2015 [67] | Comprehensive metabolomic characterization of human sperm cell |
|
|
| Paoli et al., 2011 [45] | Correlate sperm mitochondrial integrity with motility |
|
|
| Qiao et al., 2017 [68] | Metabolic profiling of unexplained male infertility (UMI) |
|
|
| Reynolds et al., 2017 [49] | Examine sperm molecules |
|
|
| Sharma et al., 2013 [11] | Identify seminal plasma proteins as biomarkers of sperm quality |
|
|
| Sharma et al., 2013 [12] | Proteomic profile changes in spermatozoa with elevated ROS |
|
|
| Soler et al., 2016 [69] | Fertility-predictive model profiles of spermatozoa |
|
|
| Sulc et al., 2024 [70] | Phospholipid expression in Sertoli cell-only syndrome (SCOS) testis |
|
|
| Massana et al., 2021 [71] | Proteomic analysis of sperm in fertilization failure after ICSI |
|
|
| Nitao et al., 2021 [72] | Progesterone-induced Ca2+ oscillations in human sperm |
|
|
| Vashisht et al., 2021 [73] | Evaluate seminal plasma biochemical and immunological markers in male infertility |
|
|
| Wainstein et al., 2023 [74] | Study microRNA profiles in semen and testicular tissue of azoospermic men |
|
|
| Wang et al., 2011 [75] | Seminal plasma miRNAs in infertile men and diagnostic value |
|
|
| Wu et al., 2020 [76] | DNA methylation in testicular cells of azoospermia patients |
|
|
| Xu et al., 2018 [77] | Ribonuclease (RNASET2) levels in sperm and relation to motility |
|
|
| Zhao et al., 2018 [44] | Metabolic profiling of idiopathic asthenozoospermia sperm cells |
|
|
| Zhao et al., 2024 [78] | Semen metabolic profiling in oligospermia patients |
|
|
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