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Search Results (246)

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13 pages, 2086 KiB  
Article
Investigation of N-Acetyllactosamine and N,N-Diacetyllactosamine Residues of Seminal Plasma Prolactin-Induced Protein as Ligands Recognized by Galectin-3
by Anna Kałuża, Katarzyna Trzęsicka, Damian Drzyzga and Mirosława Ferens-Sieczkowska
Int. J. Mol. Sci. 2024, 25(24), 13432; https://doi.org/10.3390/ijms252413432 (registering DOI) - 15 Dec 2024
Viewed by 178
Abstract
Prolactin induced-protein (PIP) has been found to be rich in immunomodulatory epitopes, including N-acetyllactosamine (LacNAc) and N,N-diacetyllactosamine (LacdiNAc) residues, which may constitute ligands for galecin-3 (Gal-3). In the current study, we aimed to investigate the reactivity of galactose- and [...] Read more.
Prolactin induced-protein (PIP) has been found to be rich in immunomodulatory epitopes, including N-acetyllactosamine (LacNAc) and N,N-diacetyllactosamine (LacdiNAc) residues, which may constitute ligands for galecin-3 (Gal-3). In the current study, we aimed to investigate the reactivity of galactose- and N-acetylgalactosamine-specific lectins with human seminal plasma PIP. Subsequently, we examined the direct interaction between seminal plasma PIP and galectin-3, and next analyzed whether there are any differences in the interaction associated with impaired semen parameters. The reactivity of terminal galactose-presenting glycans in seminal plasma PIP with Ricinus communis agglutinin I in the asthenozoospermic group was significantly higher compared to the normozoospermic fertile subjects. Investigating the reactivity of Wisteria floribunda lectin with PIP glycans, we found likewise significantly higher relative reactivity in the normozoospermic infertile as well as the oligoasthenozoopermic group compared to the control group. These results are related to the expression of LacdiNAc epitopes in the oligosaccharide chain of PIP. Finally, we observed that PIP reactivity with Wisteria floribunda lectin correlates positively with the interaction between galectin-3 and PIP in the seminal plasma. This can suggest that LacdiNAc residues are engaged in the interaction between PIP and galectin-3. Full article
(This article belongs to the Special Issue Galectins (Gals))
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<p>Concentration of prolactin-induced protein (PIP) in seminal plasma. C—control group, N—normozoospermic group, A—asthenozoospermic group, OA—oligoasthenozoospermic group.</p>
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<p>Relative reactivity of PIP glycans with <span class="html-italic">Ricinus communis</span> agglutinin I (RCA I). C—control group, N—normozoospermic group, A—asthenozoospermic group, OA—oligoasthenozoospermic group.</p>
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<p>Relative reactivity of PIP with <span class="html-italic">Datura stramonium</span> lectin (DSL). C—control group, N—normozoospermic group, A—asthenozoospermic group, OA—oligoasthenozoospermic group.</p>
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<p>Relative reactivity of PIP glycans with <span class="html-italic">Wisteria floribunda</span> lectin (WFL). C—control group, N—normozoospermic group, A—asthenozoospermic group, OA—oligoasthenozoospermic group.</p>
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<p>Relative reactivity of PIP glycans with <span class="html-italic">Wisteria floribunda</span> lectin (WFL) for the control group (C) and the infertile group (IF), which contained all infertile subjects gathered together.</p>
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<p>Relative reactivity of prolactin-induced protein glycans with galectin-3. C—control group, N—normozoospermic group, A—asthenozoospermic group, OA—oligoasthenozoospermic group.</p>
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<p>Correlation scatter plots of PIP reactivity between the studied lectins: <span class="html-italic">Ricinus communis</span> agglutinin I (RCA I), <span class="html-italic">Datura stramonium</span> lectin (DSL), and <span class="html-italic">Wisteria floribunda</span> lectin (WFL), and galectin-3. The dark blue squares represent the set of points. The solid red line is the line of best fit - the trend line, while the dashed red line indicates the 95% confidence interval.</p>
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18 pages, 2772 KiB  
Article
Effects of Varying Light Durations on Sperm Quality in Rams
by Zhendong Zhu, Wenjia Li, Haolong Zhao, Adedeji Olufemi Adetunji, Ahmed Mohamed Kamel and Lingjiang Min
Animals 2024, 14(24), 3592; https://doi.org/10.3390/ani14243592 - 12 Dec 2024
Viewed by 254
Abstract
This investigation aimed to study the effects of varying light exposure durations on ram sperm. A total of 25 rams were randomly divided into five groups. The control group was exposed to light durations of 12 h, while the experimental groups were exposed [...] Read more.
This investigation aimed to study the effects of varying light exposure durations on ram sperm. A total of 25 rams were randomly divided into five groups. The control group was exposed to light durations of 12 h, while the experimental groups were exposed to light durations of 14, 16, 18, and 20 h. After three months of rearing, semen was collected from each ram four times using the artificial vagina method. The sperm motility parameters, sperm abnormality, sperm concentration, acrosome integrity, membrane integrity, semen volume, and total sperm number were measured. Thereafter, the metabolome, amino acid level, testosterone content, plasma follicle-stimulating hormone (FSH) and luteinizing hormone (LH) levels, and sperm antioxidant capacity were measured. The results showed that the sperm motility, sperm concentration, ejaculation volume, total sperm number, acrosome integrity, and membrane integrity in the 16 h light group were significantly improved compared to the control (p < 0.05), meanwhile the sperm abnormality was decreased. Moreover, we found 345 different metabolites between the control and 16 h light group. Among these, 273 were upregulated and 72 were downregulated. Furthermore, the amino acid content of the seminal plasma in the 16 h light group was significantly increased (p < 0.05) compared to the control. Interestingly, the seminal plasma testosterone content and the levels of FSH and LH in the serum in the 16 h light group were significantly increased (p < 0.05) compared to the control. In terms of the sperm antioxidant capacity, it was observed that the CAT activity was the highest in the group exposed to 16 h of light and decreased at 18 h of light exposure when compared to the control group; however, the CAT activity at 20 h was not different from the control. Additionally, within the 14 to 18 h light exposure range, prolonged light exposure increased the GSH content (p < 0.05), whereas 20 h of light exposure reduced the GSH content. The MDA levels decreased with prolonged light exposure, reaching the lowest point at 16 h (p < 0.05), but increased again at 20 h of light exposure. KEGG analysis indicated that the differential metabolites were mainly involved in metabolic and synthetic activities. Based on the results of this study, we can conclude that the artificial extension of the light duration for 16 h has a positive effect on ram sperm quality. Full article
(This article belongs to the Special Issue Reproductive Physiology of Ruminants)
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<p>Effects of extended light duration on sperm abnormality (<b>A</b>), concentration (<b>B</b>), semen volume (<b>C</b>), and total sperm number (<b>D</b>) of sheep sperm. Values are presented as mean ± standard error of the mean (SEM). Columns with different lowercase letters were significantly different (<span class="html-italic">p</span> &lt; 0.05), n = 3.</p>
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<p>Effects of extended light duration on acrosome integrity (<b>A</b>) and membrane integrity (<b>B</b>) of sheep sperm. Values are presented as mean ± standard error of the mean (SEM). Columns with different lowercase letters were significantly different (<span class="html-italic">p</span> &lt; 0.05), n = 3.</p>
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<p>Effects of different light durations on testosterone content (<b>A</b>), serum FSH content (<b>B</b>), and serum LH content (<b>C</b>). Values are presented as mean ± standard error of the mean (SEM). Columns with different lowercase letters were significantly different (<span class="html-italic">p</span> &lt; 0.05), n = 3.</p>
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<p>Effects of different light durations on sperm CAT activity (<b>A</b>), GSH content (<b>B</b>), and MDA content (<b>C</b>). Values are presented as mean ± standard error of the mean (SEM). Columns with different lowercase letters were significantly different (<span class="html-italic">p</span> &lt; 0.05), n = 3.</p>
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<p>The classification of differential metabolites presented in ram seminal plasma between the 16 h light group and the control group. The number on each column represents the number of that kind of metabolite.</p>
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<p>The bioinformatics analysis of differential metabolites between the 16 h light group and the control group. (<b>A</b>,<b>B</b>) The separation degree between the 16 h light and control groups. (<b>C</b>) The clusters heatmap of different metabolites. The metabolites with significant differences were normalized and clustered in this map. The <span class="html-italic">X</span>-axis represents the samples, and the <span class="html-italic">Y</span>-axis represents the differential metabolites. Red represents the highly expressed metabolites, and green represents the lowly expressed metabolites. (<b>D</b>) The correlation results of differential metabolites were analyzed by the Pearson correlation analysis method. The red color indicates a strong positive correlation, and the green color indicates a strong negative correlation. (<b>E</b>) The differential metabolites with the VIP values. The abscissa represents the VIP value, and the ordinate represents the differential metabolite. Red represents upregulated metabolites, and green represents downregulated metabolites. (<b>F</b>) The correlation between sperm metabolites and sperm concentration, volume, abnormality, and motility.</p>
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<p>The KEGG enrichment map of differential metabolites. Abscissa represents the Rich factor, and the ordinate represents the pathway name. The color of the point represents the <span class="html-italic">p</span>-value. Red indicates that the enrichment is more significant. The sizes of the points represent the numbers of metabolites involved in this pathway.</p>
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17 pages, 1138 KiB  
Review
Proteomics and Metabolomics in Varicocele-Associated Male Infertility: Advancing Precision Diagnostics and Therapy
by Aris Kaltsas, Athanasios Zikopoulos, Eleftheria Markou, Athanasios Zachariou, Marios Stavropoulos, Zisis Kratiras, Evangelos N. Symeonidis, Fotios Dimitriadis, Nikolaos Sofikitis and Michael Chrisofos
J. Clin. Med. 2024, 13(23), 7390; https://doi.org/10.3390/jcm13237390 - 4 Dec 2024
Viewed by 536
Abstract
Background/Objectives: Varicoceles are a common contributor to male infertility, significantly impacting male-factor infertility cases. Traditional diagnostic methods often lack the sensitivity to detect the molecular and cellular disruptions caused by varicoceles, limiting the development of effective, personalized treatments. This narrative review aims to [...] Read more.
Background/Objectives: Varicoceles are a common contributor to male infertility, significantly impacting male-factor infertility cases. Traditional diagnostic methods often lack the sensitivity to detect the molecular and cellular disruptions caused by varicoceles, limiting the development of effective, personalized treatments. This narrative review aims to explore the advancements in proteomics and metabolomics as innovative, non-invasive diagnostic tools for varicocele-associated male infertility and their potential in guiding personalized therapeutic strategies. Methods: A comprehensive literature search was conducted using databases such as PubMed, Scopus, and Web of Science up to October 2024. Studies focusing on the application of proteomic and metabolomic analyses in varicocele-associated male infertility were selected. The findings were critically analyzed to synthesize current knowledge and identify future research directions. Results: Proteomic analyses revealed differentially expressed proteins in the sperm and seminal plasma of varicocele patients, revealing disruptions in pathways related to oxidative stress, mitochondrial dysfunction, apoptosis, and energy metabolism. Key proteins such as heat shock proteins, mitochondrial enzymes, and apoptotic regulators were notably altered. Metabolomic profiling uncovered specific metabolites in seminal plasma—such as decreased levels of lysine, valine, and fructose—that correlate with impaired sperm function and fertility potential. The integration of proteomic and metabolomic data provides a comprehensive molecular fingerprint of varicocele-induced infertility, facilitating the identification of novel biomarkers for early diagnosis and the development of personalized therapeutic interventions. Conclusions: Advances in proteomics and metabolomics have significantly enhanced our understanding of the molecular mechanisms underlying varicocele-associated male infertility. These “omics” technologies hold great promise for improving diagnostic accuracy and personalizing treatment, ultimately leading to better outcomes for affected men. Future large-scale clinical trials and validations are essential to confirm these biomarkers and facilitate their integration into routine clinical practice. Full article
(This article belongs to the Special Issue Challenges in Diagnosis and Treatment of Infertility)
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<p>Anatomical, molecular, and diagnostic features associated with varicoceles.</p>
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<p>Prisma flow diagram illustrating the article selection process for studies on proteomics and metabolomics in varicocele-associated male infertility.</p>
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9 pages, 1525 KiB  
Article
First Evidence of Cotinine in Canine Semen Reveals Tobacco Smoke Exposure
by Debora Groppetti, Giulia Pizzi, Elisa Giussani, Alessandro Pecile, Silvia Michela Mazzola, Valerio Bronzo and Eleonora Fusi
Vet. Sci. 2024, 11(12), 598; https://doi.org/10.3390/vetsci11120598 - 26 Nov 2024
Viewed by 553
Abstract
Tobacco smoke has numerous adverse effects on both human and animal health, including impaired reproductive function. Recent research has explored environmental exposure in dogs, investigating various biological matrices. However, no data are currently available on the presence of cotinine, a nicotine metabolite, in [...] Read more.
Tobacco smoke has numerous adverse effects on both human and animal health, including impaired reproductive function. Recent research has explored environmental exposure in dogs, investigating various biological matrices. However, no data are currently available on the presence of cotinine, a nicotine metabolite, in the canine ejaculate. This study aimed to evaluate the detectability of cotinine in the semen of dogs living with smoking owners. Additionally, seminal cotinine concentrations were correlated with those in serum and hair. To further examine the potential impact of smoking on canine fertility, the relationships between seminal cotinine, total sperm concentration, and antioxidant activity in plasma and semen were analyzed in exposed and non-exposed dogs. This study is the first to demonstrate the presence of cotinine in canine ejaculate and its correlation with blood and hair concentrations. While the potential toxic effect of cotinine on seminal parameters and male fertility in dogs requires further investigation, it is crucial to raise awareness among pet owners about the risks associated with domestic smoking for their animals. Full article
(This article belongs to the Section Veterinary Reproduction and Obstetrics)
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<p>Comparison of seminal cotinine concentration between passive smokers and non-exposed dogs. S: passive-smoker dogs, N: non-exposed dogs, * indicates <span class="html-italic">p</span> = 0.0002.</p>
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<p>Receiver operating characteristic (ROC) curves illustrating the relationship between seminal cotinine in exposed and non-exposed dogs. ROC curves describe the tradeoff between sensitivity and specificity. The 45° diagonal of the ROC space is the random chance line. The respective area under the curve (AUC) values and level of significance are reported in the plot for each curve.</p>
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<p>Correlation between cotinine concentrations in serum, semen, and hair. * indicates <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Total antioxidant capacity (TAC) in plasma and semen. S: passive-smoker dogs; N: non-exposed dogs.</p>
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17 pages, 634 KiB  
Review
Predictors of Successful Testicular Sperm Extraction: A New Era for Men with Non-Obstructive Azoospermia
by Aris Kaltsas, Sofoklis Stavros, Zisis Kratiras, Athanasios Zikopoulos, Nikolaos Machairiotis, Anastasios Potiris, Fotios Dimitriadis, Nikolaos Sofikitis, Michael Chrisofos and Athanasios Zachariou
Biomedicines 2024, 12(12), 2679; https://doi.org/10.3390/biomedicines12122679 - 25 Nov 2024
Viewed by 750
Abstract
Background/Objectives: Non-obstructive azoospermia (NOA) is a severe form of male infertility characterized by the absence of sperm in the ejaculate due to impaired spermatogenesis. Testicular sperm extraction (TESE) combined with intracytoplasmic sperm injection is the primary treatment, but success rates are unpredictable, [...] Read more.
Background/Objectives: Non-obstructive azoospermia (NOA) is a severe form of male infertility characterized by the absence of sperm in the ejaculate due to impaired spermatogenesis. Testicular sperm extraction (TESE) combined with intracytoplasmic sperm injection is the primary treatment, but success rates are unpredictable, causing significant emotional and financial burdens. Traditional clinical and hormonal predictors have shown inconsistent reliability. This review aims to evaluate current and emerging non-invasive preoperative predictors of successful sperm retrieval in men with NOA, highlighting promising biomarkers and their potential clinical applications. Methods: A comprehensive literature review was conducted, examining studies on clinical and hormonal factors, imaging techniques, molecular biology biomarkers, and genetic testing related to TESE outcomes in NOA patients. The potential role of artificial intelligence and machine learning in enhancing predictive models was also explored. Results: Traditional predictors such as patient age, body mass index, infertility duration, testicular volume, and serum hormone levels (follicle-stimulating hormone, luteinizing hormone, inhibin B) have limited predictive value for TESE success. Emerging non-invasive biomarkers—including anti-Müllerian hormone levels, inhibin B to anti-Müllerian hormone ratio, specific microRNAs, long non-coding RNAs, circular RNAs, and germ-cell-specific proteins like TEX101—show promise in predicting successful sperm retrieval. Advanced imaging techniques like high-frequency ultrasound and functional magnetic resonance imaging offer potential but require further validation. Integrating molecular biomarkers with artificial intelligence and machine learning algorithms may enhance predictive accuracy. Conclusions: Predicting TESE outcomes in men with NOA remains challenging using conventional clinical and hormonal parameters. Emerging non-invasive biomarkers offer significant potential to improve predictive models but require validation through large-scale studies. Incorporating artificial intelligence and machine learning could further refine predictive accuracy, aiding clinical decision-making and improving patient counseling and treatment strategies in NOA. Full article
(This article belongs to the Section Molecular Genetics and Genetic Diseases)
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<p>Flowchart of TESE success prediction in NOA patients using clinical data, molecular biomarkers, imaging techniques, and AI.</p>
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14 pages, 1894 KiB  
Article
Impact of Supplemented Nutrition on Semen Quality, Epigenetic-Related Gene Expression, and Oxidative Status in Boars
by Jovan Blagojević, Zoran Stanimirović, Uroš Glavinić, Slobodanka Vakanjac, Željko Radukić, Milorad Mirilović and Milan Maletić
Animals 2024, 14(22), 3297; https://doi.org/10.3390/ani14223297 - 15 Nov 2024
Viewed by 774
Abstract
This study investigates the impact of nutritional supplementation on semen quality, epigenetic-related gene expression, and oxidative status in boars. Thirty boars were divided into a control group and a treatment group receiving Espermaplus (a supplement containing various vitamins, amino acids, omega-3 fatty acids, [...] Read more.
This study investigates the impact of nutritional supplementation on semen quality, epigenetic-related gene expression, and oxidative status in boars. Thirty boars were divided into a control group and a treatment group receiving Espermaplus (a supplement containing various vitamins, amino acids, omega-3 fatty acids, and trace elements with antioxidant properties). The experiment was performed for 12 weeks. Semen samples were collected at four moments: before starting the supplementation and after 3 weeks, 8 weeks, and 12 weeks. Spermatozoa concentration, motility, and kinematics were assessed using the CASA system. The measured parameters included curvilinear velocity—VCL; straight-line velocity—VSL; average path velocity—VAP; curvilinear distance—DCL; straight line distance—DSL; distance of average path—DAP; amplitude of lateral head displacement—ALH; beat-cross frequency—BCF; and head activity—HAC. Moreover, superoxide dismutase (SOD) and glutathione peroxidase (GPx) activity in seminal plasma, as well as the concentration of thiobarbituric acid reactive substances (TBARS), were measured to assess oxidative stress levels in boar’s seminal plasma. The expression of epigenetic-related genes such as Protamine 1 (Prm1), Protamine 2 (Prm2), and DNA-methyltransferase 3 alpha (Dnmt3a) were evaluated using real-time PCR. The treated group showed a significant increase in spermatozoa concentration (p = 0.003), total motility (p = 0.001), and progressive motility (p = 0.002) after 12 weeks compared to the control group. Kinematic parameters such as VCL, VSL, and VAP were also significantly higher (p < 0.001; p = 0.028; p < 0.001, respectively) in the treated group by the end of the experiment. SOD and GPx activities were consistently higher (p < 0.01; p < 0.001, respectively) in the treated group, indicating enhanced antioxidative capacity. TBARS levels as an indicator of lipid peroxidation and oxidative damage were significantly lower (p < 0.01) in the treated group by the end of the study. Significant changes were observed in the expression of epigenetic-related genes. The supplementation of boar diets with Espermaplus significantly improved semen quality, reduced oxidative stress, and had an impact on the expression levels of certain epigenetic-related genes, suggesting that dietary antioxidants and bioactive compounds can enhance boar semen. Full article
(This article belongs to the Section Animal Reproduction)
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<p>Effects of Espermaplus supplementation on superoxide dismutase (SOD) activity in sperm plasma. CON—control group; ESP—group supplemented with Espermaplus. P1—the day when Espermaplus supplementation started; P2—the day after three-week period of Espermaplus supplementation; P3—the day after the eight-week period of Espermaplus supplementation; P4—the day after the twelve-week period of Espermaplus supplementation. Different lowercase letters indicate statistically significant differences within the same group at different moments; Different uppercase letters indicate statistically significant differences between groups at the same sampling moment.</p>
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<p>Effects of <span class="html-italic">Espermaplus</span> supplementation on glutathione peroxidase (GPx) activity in sperm plasma. CON—control group; ESP—group supplemented with <span class="html-italic">Espermaplus</span>. P1—the day when Espermaplus supplementation started; P2—the day after three-week period of Espermaplus supplementation; P3—the day after the eight-week period of Espermaplus supplementation; P4—the day after the twelve-week period of Espermaplus supplementation. Different lowercase letters indicate statistically significant differences within the same group at different moments; Different uppercase letters indicate statistically significant differences between groups at the same sampling moment.</p>
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<p>Effects of Espermaplus supplementation on thiobarbituric reactive substance (TBARS) concentration in sperm plasma. CON—control group; ESP—group supplemented with Espermaplus. P1—the day when Espermaplus supplementation started; P2—the day after three-week period of Espermaplus supplementation; P3—the day after the eight-week period of Espermaplus supplementation; P4—the day after the twelve-week period of Espermaplus supplementation. Different lowercase letters indicate statistically significant differences within the same group at different moments; Different uppercase letters indicate statistically significant differences between groups at the same sampling moment.</p>
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<p>Epigenetic-related gene expression levels at the P3 moment (the day after the eight-week period of Espermaplus supplementation) and P4 moment (the day after the twelve-week period of Espermaplus supplementation) in the control (CON) and Espermaplus-supplemented (ESP) groups of boars. *—<span class="html-italic">p</span> &lt; 0.05, **—<span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Heath map of median values for the relative gene expression levels (<span class="html-italic">Prm1</span>, <span class="html-italic">Prm2</span>, <span class="html-italic">Kat8</span>, <span class="html-italic">Dnmt3a</span>, <span class="html-italic">Dnmt3b</span>, <span class="html-italic">Jhdm2a</span>, <span class="html-italic">IGF2</span>) at different moments (P3 and P4) in the ESP and CON groups. CON—control group; ESP—Espermaplus-supplemented group; P3—the day after the eight-week period of Espermaplus supplementation; P4—the day after the twelve-week period of Espermaplus supplementation.</p>
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17 pages, 1902 KiB  
Review
Updating Research on Extracellular Vesicles of the Male Reproductive Tract in Farm Animals: A Systematic Review
by Pablo Martínez-Díaz, Ana Parra, Marina Montesdeoca, Isabel Barranco and Jordi Roca
Animals 2024, 14(21), 3135; https://doi.org/10.3390/ani14213135 - 31 Oct 2024
Viewed by 631
Abstract
This systematic review examined research studies on extracellular vesicles (EVs) of the male reproductive tract in livestock species to summarize the research topics and methodologies used, key findings, and future directions. PubMed and Scopus were searched for time ranges up to 1 September [...] Read more.
This systematic review examined research studies on extracellular vesicles (EVs) of the male reproductive tract in livestock species to summarize the research topics and methodologies used, key findings, and future directions. PubMed and Scopus were searched for time ranges up to 1 September 2024, and 1383 articles were identified. The application of screening and eligibility criteria resulted in the selection of 79 articles focusing on male reproductive EVs in livestock. Porcine and bovine male reproductive EVs were the most studied. A variety of EV isolation techniques were used, with ultracentrifugation being the most common. Characterization of male reproductive EVs in livestock was a weak point, with only 24.05% of the articles characterizing EVs according to MISEV guidelines. Inadequate characterization of EVs compromises the reliability of results. The results of 19 articles that provided a good characterization of EVs showed that male reproductive EVs from livestock species are phenotypically and compositionally heterogeneous. These papers also showed that these EVs would be involved in the regulation of sperm functionality. Research on male reproductive EVs in livestock species remains scarce, and further research is needed, which should include appropriate characterization of EVs and aim to find efficient methods to isolate them and assess their involvement in the functionality of spermatozoa and the cells of the female genital tract. Full article
(This article belongs to the Section Animal Reproduction)
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<p>Flowchart illustrating the process of article selection: (<b>A</b>) the PICO (population, intervention, comparison, and outcome) principle and (<b>B</b>) Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. N indicates the number of articles. * Some of the excluded papers met both exclusion criteria, i.e., they were not written in English and did not present experimental studies.</p>
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<p>Research on extracellular vesicles in the male reproductive tracts of livestock species: (<b>A</b>) number of articles published per decade and trend, (<b>B</b>) articles published per country, and (<b>C</b>) articles published per species. * Number of articles that would be published by the end of the current decade.</p>
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<p>(<b>A</b>) Pie charts showing the proportion of research articles that characterized extracellular vesicles in the male reproductive tracts of livestock species according to the Minimal Information for Studies of Extracellular Vesicles (MISEV) guidelines, which recommend characterization of three attributes in EV samples: particle abundance, EV markers, and presence of non-EV particles. (<b>B</b>) Histograms showing which of the sEV attributes were characterized. Results are shown for three different time periods (1998–2014; 2015–2018; 2019–2024). These time periods were defined according to the publication of the MISEV guidelines (2014, 2018).</p>
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<p>(<b>A</b>) Distribution of research articles among three categories according to whether they addressed research related to characterization, functionality, or other topics relating to extracellular vesicles in the male reproductive tracts of livestock species. (<b>B</b>) shows the specific research topic of the articles included in each of the three categories above. IVM: in vitro oocyte maturation; IVF: in vitro fertilization.</p>
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11 pages, 700 KiB  
Article
Inflammatory Prostatitis Plus IBS-D Subtype and Correlation with Immunomodulating Agent Imbalance in Seminal Plasma: Novel Combined Treatment
by Roberto Castiglione, Gaetano Bertino, Beatrice Ornella Vicari, Agostino Rizzotto, Giuseppe Sidoti, Placido D’Agati, Michele Salemi, Giulia Malaguarnera and Enzo Vicari
Diseases 2024, 12(10), 260; https://doi.org/10.3390/diseases12100260 - 18 Oct 2024
Viewed by 920
Abstract
We recently demonstrated the effectiveness of long-term treatment with rifaximin and the probiotic DSF (De Simone formulation) in improving urogenital and gastrointestinal symptoms in patients with both chronic inflammatory prostatitis (IIIa prostatitis) and diarrhea-predominant irritable bowel syndrome (IBS-D), relative to patients with IBS-D [...] Read more.
We recently demonstrated the effectiveness of long-term treatment with rifaximin and the probiotic DSF (De Simone formulation) in improving urogenital and gastrointestinal symptoms in patients with both chronic inflammatory prostatitis (IIIa prostatitis) and diarrhea-predominant irritable bowel syndrome (IBS-D), relative to patients with IBS-D alone. Because the low-grade inflammation of the intestine and prostate may be one of the reasons for co-developing both IIIa prostatitis and IBS-D, we designed the present study to once again evaluate the efficacy of combined rifaximin and DSF treatment in patients affected by IIIa prostatitis plus IBS-D, but we also measured seminal plasma pro-inflammatory (IL-6) and anti-inflammatory (IL-10) cytokines before and after treatment. Methods: We consecutively enrolled 124 patients with IIIa prostatitis and IBS-D (diagnosed using the Rome III criteria). Patients were randomized into two groups: group A (n = 64) was treated with rifaximin (seven days per month for three months) followed by DSF, and group B (n = 60) was treated with a placebo. By the end of the intervention, 68.7% and 62.5% of patients from group A reported improved NIH-CPSI (National Institute of Health’s Chronic Prostatitis Symptom Index) and IBS-SSS (Irritable Bowel Syndrome Severity Scoring System) scores, respectively, compared to only 3.3% and 5% of the placebo group. Group A patients also had significantly lower mean seminal plasma levels of IL-6 (11.3 vs. 32.4 pg/mL) and significantly higher mean levels of IL-10 (7.9 vs. 4.4 pg/mL) relative to baseline, whereas the levels of IL-6 and IL-10 did not change in the placebo group. Conclusions: The combined treatment with rifaximin and DSF appears to represent the optimal approach for addressing a syndrome such as irritable bowel syndrome (IBS-D plus), which frequently co-occurs with prostatitis (IIIa prostatitis). This approach is particularly beneficial in cases where the symptoms are not always clearly delineated, the etiology is multifactorial, and the diagnosis is multilevel. Full article
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<p>Patients with chronic prostatitis (type IIIa) plus IBS-D, assessed before the treatment and 3 months after treatment with (R + DSF) (group A) or placebo (group B).</p>
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15 pages, 11544 KiB  
Article
Environmental Heat Stress Decreases Sperm Motility by Disrupting the Diurnal Rhythms of Rumen Microbes and Metabolites in Hu Rams
by Qiang-Jun Wang, Huan-Ming Yi, Jing-Yu Ou, Ru Wang, Ming-Ming Wang, Peng-Hui Wang, Xiao-Long He, Wen-Hui Tang, Jia-Hong Chen, Yang Yu, Chun-Ping Zhang, Chun-Huan Ren and Zi-Jun Zhang
Int. J. Mol. Sci. 2024, 25(20), 11161; https://doi.org/10.3390/ijms252011161 - 17 Oct 2024
Viewed by 773
Abstract
Heat stress (HS) has become a common stressor, owing to the increasing frequency of extreme high-temperature weather triggered by global warming, which has seriously affected the reproductive capacity of important livestock such as sheep. However, little is known about whether HS reduces sperm [...] Read more.
Heat stress (HS) has become a common stressor, owing to the increasing frequency of extreme high-temperature weather triggered by global warming, which has seriously affected the reproductive capacity of important livestock such as sheep. However, little is known about whether HS reduces sperm motility by inducing circadian rhythm disorders in rumen microorganisms and metabolites in sheep. In this study, the year-round reproduction of two-year-old Hu rams was selected, and the samples were collected in May and July 2022 at average environmental temperatures between 18.71 °C and 33.58 °C, respectively. The experiment revealed that the mean temperature-humidity index was 86.34 in July, indicating that Hu rams suffered from HS. Our research revealed that HS significantly decreased sperm motility in Hu rams. Microbiome analysis further revealed that HS reshaped the composition and circadian rhythm of rumen microorganisms, leading to the circadian disruption of microorganisms that drive cortisol and testosterone synthesis. Serum indicators further confirmed that HS significantly increased the concentrations of cortisol during the daytime and decreased the testosterone concentration at the highest body temperature. Untargeted metabolomics analysis revealed that the circadian rhythm of rumen fluid metabolites in the HS group was enriched by the cortisol and steroid synthesis pathways. Moreover, HS downregulated metabolites, such as kaempferol and L-tryptophan in rumen fluid and seminal plasma, which are associated with promotion of spermatogenesis and sperm motility; furthermore, these metabolites were found to be strongly positively correlated with Veillonellaceae_UCG_001. Overall, this study revealed the relationship between the HS-induced circadian rhythm disruption of rumen microorganisms and metabolites and sperm motility decline. Our findings provide a new perspective for further interventions in enhancing sheep sperm motility with regard to the circadian time scale. Full article
(This article belongs to the Section Molecular Microbiology)
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Graphical abstract

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<p>Heat stress alters the body temperature, biochemical indexes, and sperm motility in rams. (<b>A</b>–<b>H</b>) The diurnal rhythms based on a Jonckheere–Terpstra–Kendall (JTK) analysis of THI, body temperature, and biochemical indexes <span class="html-italic">(n</span> = 6 per time point). ADJ.P for adjusted minimal <span class="html-italic">p</span>-values, ADJ.P &lt; 0.05, indicates a significant effect on circadian rhythm, AMP represents amplitude, and ZT represents Zeitgeber time. White bars in the graph represent daytime, and gray bars represent nighttime. (<b>I</b>) Sperm motility parameters (<span class="html-italic">n</span> = 6). Asterisks indicate significance at <span class="html-italic">p</span> &lt; 0.05 (*), <span class="html-italic">p</span> &lt; 0.01 (**), <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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<p>Heat stress alters the circadian rhythm of rumen microbes in rams. (<b>A</b>,<b>B</b>) Heat map showing oscillating ASVs in the NH (<b>left</b>) or HS (<b>right</b>) groups. (<b>C</b>,<b>D</b>) The diurnal rhythm of rumen microbes at phylum and genus levels (n = 6 per time point), respectively. (<b>E</b>) The polar plots represent the time when the ASV’s peak level of abundance occurred; blue (NH group) or red (HS group) shading represents the number of rhythmic ASVs with an estimated peak value for each time, as determined with JTK analysis. The radius of black concentric circles indicates the number of rhythmic ASVs, and the minimum radius of the black concentric circle represents one ASV. The black arc on the left side of the polar plot indicates the day/night cycle.</p>
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<p>Heat stress alters the diurnal pattern of rumen metabolites in rams. (<b>A</b>) Identification of distinct temporal patterns of metabolites in the NH and HS groups using fuzzy c-means clustering. The y-axis represents normalized data based on all metabolites within each cluster. (<b>B</b>) Classification of metabolites. (<b>C</b>) KEGG analysis (<span class="html-italic">p</span> &lt; 0.05) of the metabolites within each cluster in the NH and HS groups.</p>
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<p>Heat stress alters the circadian rhythm of rumen metabolites in rams. (<b>A</b>) Venn diagram showing the number of rhythmic metabolites and also significant differences between groups. (<b>B</b>) Heat map showing oscillating metabolites in the NH (<b>left</b>) or HS (<b>right</b>) groups. (<b>C</b>) Classification of metabolites. (<b>D</b>) Identification of distinct temporal patterns of metabolites in the NH and HS groups by fuzzy c-means clustering. (<b>E</b>,<b>F</b>) Pathways annotated for rumen metabolites based on the KEGG database (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Heat stress alters the composition of metabolites in rumen fluid and seminal plasma. (<b>A</b>,<b>B</b>) Heat stress altered rumen and seminal plasma metabolomic profiles based on orthogonal partial least-squares discriminant analysis (OPLS-DA) in the NH and HS groups, respectively. Differentially abundant rumen and seminal plasma metabolites were visualized using volcano plots in the NH and HS groups, respectively. (<b>C</b>) Venn diagram showing the number of metabolites between rumen and seminal plasma. (<b>D</b>) Common differential metabolite in rumen fluid and seminal plasma. (<b>E</b>,<b>F</b>) Pathways annotated for rumen fluid and seminal plasma metabolites based on the KEGG database (<span class="html-italic">p</span> &lt; 0.05). Asterisks indicate significance at <span class="html-italic">p</span> &lt; 0.05 (*), <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>HS altered sperm motility and was related to the diurnal rhythms of rumen microbes and metabolites in rams. (<b>A</b>) Circos plot showing variable correlations among microbiome, metabolome, sperm motility parameters, and biochemical indexes. (<b>B</b>) Sankey diagram illustrating the complex interactions between microbiome, metabolome, and other indicators’ complex interactions. (<b>C</b>,<b>D</b>) Spearman correlation between microbiome, metabolome, sperm motility, and THI (r &gt; 0.5, <span class="html-italic">p</span> &lt; 0.05). Asterisks indicate significance at <span class="html-italic">p</span> &lt; 0.05 (*), <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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16 pages, 3720 KiB  
Article
Interleukin-1 Beta (IL1B) and Nerve Growth Factor (NGF): Key Players in Rabbit Reproductive Regulation
by Gabriella Guelfi, Cecilia Dall’Aglio, Antonello Bufalari, Francesca Mercati, Polina Anipchenko, Camilla Capaccia, Paolo Cocci, Francesco Alessandro Palermo, Gabriele Acuti, Alessandro Troisi, Daniele Tomassoni, Cristiano Boiti, Massimo Zerani and Margherita Maranesi
Int. J. Mol. Sci. 2024, 25(20), 10986; https://doi.org/10.3390/ijms252010986 - 12 Oct 2024
Viewed by 845
Abstract
Several seminal plasma components, besides NGF, are implicated as ovulation-inducing factors in mammals. This study investigated the IL1B and its receptor IL1R1 in the testis (T), male accessory glands, prostate (P) and seminal vesicles (SV), and uterus (U) of adult rabbits using immunohistochemistry [...] Read more.
Several seminal plasma components, besides NGF, are implicated as ovulation-inducing factors in mammals. This study investigated the IL1B and its receptor IL1R1 in the testis (T), male accessory glands, prostate (P) and seminal vesicles (SV), and uterus (U) of adult rabbits using immunohistochemistry (IHC) and quantitative reverse transcription PCR (RT-qPCR). We also assessed the presence of IL1B in seminal plasma through Western blotting (WB) and examined the interaction between IL1B and NGF in vitro by measuring their production with enzyme-linked immunosorbent assay (ELISA) in the presence of NGF and IL1B alone or with their respective receptor antagonists. IHC revealed IL1B system expression in all reproductive organs studied, with IL1B and IL1R1 localized to the germinative epithelium of the T and the epithelial cells of the accessory glands and U. IL1B gene transcript levels were significantly higher (p < 0.01) in the P and SV compared to the T, while IL1R1 levels were significantly higher (p < 0.001) in the P compared to the other tissues, while IL1R1 levels were three times higher (p < 0.001) in the P. WB confirmed the presence of IL1B in seminal plasma with a 30–35 kDa band. The in vitro study demonstrated that IL1B increased (p < 0.05) basal NGF production in the U, whereas NGF had no effect on IL1B production. These findings provide evidence of the expression of the IL1B/IL1R1 system in both male and female rabbit reproductive tracts and suggest that IL1B in seminal plasma may influence uterine endocrine activity. The results propose a potential role for IL1B in ovulation, in conjunction with NGF, supporting that ovulation may involve inflammatory-like processes. Full article
(This article belongs to the Section Molecular Endocrinology and Metabolism)
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<p>QPCR normalized expression values. The normalized gene expression values for IL1B (<b>a</b>) show a statistically significant upregulation in testis (T) (**, <span class="html-italic">p</span> &lt; 0.01) compared to prostate (P) and seminal vesicles (SV). No significant differences in IL1B levels were observed between P and SV (<span class="html-italic">p</span> &gt; 0.05). Regarding IL1R1 (<b>b</b>), normalized mRNA expression levels reveal significant differences (***, <span class="html-italic">p</span> &lt; 0.001) between T, P, and SV. The bars above the histograms represent the standard error. <a href="#ijms-25-10986-f001" class="html-fig">Figure 1</a> below the graphs shows the results from the 2% agarose gel electrophoresis. In the gel images, the first lane (left) contains a 50 bp DNA ladder (LD), followed by lanes with the qPCR amplicons for P, T, and SV. The last lane (right) shows the qPCR negative control (CTRL). (<b>a</b>) shows the gel of IL1B (183 bp) and 18S (489 bp) qPCR amplicons from P, T, and SV, while (<b>b</b>) shows the gel for IL1R1 (137 bp) and 18S (489 bp) amplicons from the same samples.</p>
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<p>Immunopositivity for IL1B and IL1R1 in some organs of the reproductive tract of the male rabbits. Both IL1B and its receptor were observed in the cytoplasm of germinal cells, inside the convoluted seminiferous cells (<b>a</b>,<b>b</b>). Positivity is particularly evident in the basal portion of the epithelium where spermatogonia and first-order spermatocytes are found (*). In the P, a weak positivity for IL1B was observed in some secreting epithelial cells (<b>c</b>), while the positivity for the receptor was evident in a high number of the secreting epithelial cells (<b>d</b>). All glandular epithelial cells in the SV were immunopositive for IL1B (<b>e</b>) and IL1R1 (<b>f</b>). The immunopositivity for both IL1B and IL1R1 was diffused in the cytoplasm of all the epithelial cells. Sections were counterstained with hematoxylin.</p>
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<p>Immunopositivity for IL1R1 in the U of female rabbits. The positive immunoreaction was highlighted in the cytoplasm (*) of the lining (arrows) and glandular epithelial cells (arrows head). The section was counterstained with hematoxylin.</p>
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<p>IL1B WB. The figure shows the molecular weight marker (10 to 250 kDa) on the left, only the bands corresponding to the target IL1B weights are cut. Bands 1, 2, 3, 4, and 5, positioned between 30 and 35 kDa, confirm the presence of the IL1B protein in the seminal plasma of the five rabbits involved in the experiment.</p>
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<p>IL1B ELISA. The figure shows the IL1B levels (ng) for total protein (mg). There were no statistical differences in IL1B expression between experimental group (EG) 1 (control), EG 4 (NGF addition), EG 5 (NGF + TRKA inhibitor), and EG 6 (NGF + p75NTR inhibitor). The bar above the histograms represents the dataset standard error. Equivalent letters indicate not statistically significant differences (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>NGF ELISA. NGF protein expression levels of EG 1 (control) versus EG 2 (addition of IL1B) or versus EG 3 (addition of IL1B plus IL1R1 antagonist) show statistically significant differences. The bar above the histograms represents the dataset standard error. Different letters (a,b,c) indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05). Equivalent letters indicate not statistically significant differences (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>PGF2α and PGE2 ELISA. When compared with EG 2 (addition of IL1B) or with EG 7 (addition of IL1B plus COX inhibitor), the PGF2α and PGE2 expression levels in EG 1 (control) show statistically significant differences (<span class="html-italic">p</span> ˂ 0.001). EG 2, EG 3 (IL1B plus IL1R1 antagonist), and EG 7 when confronted with each other show statistically significant differences (<span class="html-italic">p</span> ˂ 0.001). Different letters (a,b,c) indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05). Equivalent letters indicate not statistically significant differences (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>IL1B is associated with the inflammatory response and NGF production in the rabbit uterus (U). The binding of IL1B to the extracellular domain of the IL1R1 membrane receptor allows the recruitment of the IL1R3 co-receptor. This interaction forms the IL1R1/IL1R3 heterodimer via the intracellular toll–interleukin-1 receptor (TIR) domains of the two receptor polypeptide chains, thereby initiating signal transduction. The IL1R1/IL1R3 receptor complex then recruits the adaptor protein myeloid differentiation primary response gene 88 (MyD88), which activates interleukin-1 receptor-associated kinase 1 (IRAK1) and tumor necrosis factor receptor-associated factor 6 (TRAF-6). This activation cascade stimulates the nuclear factor-kappa B (NF-κB) and p38 mitogen-activated protein kinase (MAPK) signaling pathways. Upon activation, NF-κB translocates to the nucleus where it acts as a transcription factor, upregulating the gene expression of pro-inflammatory cytokines (e.g., IL-1, IL-6, and TNFα) and COX2 which is essential for the synthesis of PGE2 and PGF2α starting from the arachidonic acid. Similarly, IL1B-mediated activation of p38 MAPK induces the transcription factor cyclic AMP response element-binding protein (CREB), which promotes the transcription of COX2, pro-inflammatory cytokine, and NGF gene, explaining how the inflammatory cytokine IL1B enhances NGF production in the rabbit U. In addition to IL1B, NGF, through its receptors, p75NTR and TRKA, activate NF-κB and Ras-Raf-MEK-ERK-CREB signaling (red arrows), contributing to COX2 transcription and as a consequence prostaglandins production in the U.</p>
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<p>The experimental procedure consists of two steps. Step 1 involved the investigation of IL1B and IL1R1 gene (RT-PCR) and protein (IHC) expression in reproductive tissues (T, P, and SV) in six male rabbits. Protein IL1B evaluation (WB) in the seminal plasma of 5 rabbits was included in this step. In Step 2, the U of six rabbits sliced into small pieces was incubated in vitro for two hours, and then the concentration of IL1B, NGF, PGE2, and PGF2α was assessed in the culture medium using ELISA method. The U (n = 6) evaluation of IL1R1 and IL1R3 gene (qPCR) and IL1R1 protein (IHC) were included in this step.</p>
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14 pages, 2384 KiB  
Article
Effects of Cryptorchidism on the Semen Quality of Giant Pandas from the Perspective of Seminal Plasma Proteomics
by Yicheng Qian, Yuliang Liu, Tao Wang, Shenfei Wang, Jiasong Chen, Feiping Li, Mengshi Zhang, Xianbiao Hu, Juan Wang, Yan Li, Ayala James, Rong Hou and Kailai Cai
Genes 2024, 15(10), 1288; https://doi.org/10.3390/genes15101288 - 30 Sep 2024
Viewed by 878
Abstract
Giant pandas are an endangered species with low reproductive rates. Cryptorchidism, which can negatively affect reproduction, is also often found in pandas. Seminal plasma plays a crucial role in sperm–environment interactions, and its properties are closely linked to conception potential in both natural [...] Read more.
Giant pandas are an endangered species with low reproductive rates. Cryptorchidism, which can negatively affect reproduction, is also often found in pandas. Seminal plasma plays a crucial role in sperm–environment interactions, and its properties are closely linked to conception potential in both natural and assisted reproduction. The research sought to identify seminal fluid protein content variations between normal and cryptorchid giant pandas. Methods: Using a label-free MS-based method, the semen proteomes of one panda with cryptorchidism and three normal pandas were studied, and the identified proteins were compared and functionally analyzed. Results: Mass spectrometry identified 2059 seminal plasma proteins, with 361 differentially expressed proteins (DEPs). Gene ontology (GO) analysis revealed that these DEPs are mainly involved in the phosphate-containing compound metabolic, hydrolase activity, and kinase activity areas (p ≤ 0.05). The KEGG functional enrichment analysis revealed that the top 20 pathways were notably concentrated in the adipocyte lipolysis and insulin metabolism pathway, with a significance level of p ≤ 0.05. Further analysis through a protein–protein interaction (PPI) network identified nine key proteins that may play crucial roles, including D2GXH8 (hexokinase Fragment), D2HSQ6 (protein tyrosine phosphatase), and G1LHZ6 (Calmodulin 2). Conclusions: We suspect that the high abundance of D2HSQ6 in cryptorchid individuals is associated with metabolic pathways, especially the insulin signal pathway, as a typical proteomic feature related to its pathological features. These findings offer insight into the ex situ breeding conditions of this threatened species. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>Statistics of the identified seminal plasma proteins in the giant panda. (<b>A</b>) Sample grouping statistics from tandem mass spectrometry and protein identification. (<b>B</b>) Functional annotations of proteins in public databases.</p>
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<p>Functional annotation of the identified seminal plasma proteins in giant panda semen. (<b>A</b>) Subcellular localization of the identified proteins. (<b>B</b>) GO enrichment analysis of the identified proteins. (<b>C</b>) IPR analysis of the identified protein. (<b>D</b>) KEGG analysis of the identified proteins.</p>
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<p>Principal component analysis (PCA) and GO terms and KEGG pathway enrichment DEPs analysis of seminal plasma proteins in cryptorchid and normal testis semen samples. (<b>A</b>) PCA of cryptorchid and normal testis semen sample. According to the distribution of PC1 and PC2, the normal testes group were divided into ellipses. PC1. (<b>B</b>) Volcano diagram of DEPs between cryptorchid and normal testis group. (<b>C</b>) Hierarchical clustering of DEPs. The vertical clustering is the sample clustering, and the horizontal clustering is the protein clustering. Enriched GO terms (<b>D</b>), top 20 enriched KEGG pathways (<b>E</b>), enrichment of DEPs.</p>
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<p>KEGG pathway enriches upregulated and downregulated DEPs between the cryptorchid and the normal testis group. (<b>A</b>) The first 20 enriched upregulated KEGG pathways. (<b>B</b>) The first 20 enriched downregulated KEGG pathways. The Abscissa in the picture is the ratio of the number of differential proteins in the corresponding pathway to the total number of proteins identified by the pathway. The higher the ratio, the higher the degree of enrichment of differential proteins in this pathway.</p>
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<p>Network analyses of DEPs between the cryptorchid and normal testis groups. (<b>A</b>) PPI enrichment analysis showing physical interactions formed among DEPs in the cryptorchid and normal testis groups. (<b>B</b>) Insulin signal pathway map involving cryptorchidism sexual characteristics related to seminal plasma proteins.</p>
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9 pages, 918 KiB  
Article
One-Year Impact of Occupational Exposure to Polycyclic Aromatic Hydrocarbons on Sperm Quality
by Mª Victoria Peña-García, Mª José Moyano-Gallego, Sara Gómez-Melero, Rafael Molero-Payán, Fernando Rodríguez-Cantalejo and Javier Caballero-Villarraso
Antioxidants 2024, 13(10), 1181; https://doi.org/10.3390/antiox13101181 - 29 Sep 2024
Viewed by 838
Abstract
Background: Polycyclic aromatic hydrocarbons (PAHs) have toxic potential, especially as carcinogens, neurotoxins, and endocrine disruptors. The objective of this study is to know the impact of exposure to PAHs on the reproductive health of male workers who operate in solar thermal plants. Methods: [...] Read more.
Background: Polycyclic aromatic hydrocarbons (PAHs) have toxic potential, especially as carcinogens, neurotoxins, and endocrine disruptors. The objective of this study is to know the impact of exposure to PAHs on the reproductive health of male workers who operate in solar thermal plants. Methods: Case–control study. A total of 61 men were included: 32 workers exposed to PAH at a solar thermal plant and 29 unexposed people. Seminal quality was studied both at the cellular level (quantity and quality of sperm) and at the biochemical level (magnitudes of oxidative stress in seminal plasma). Results: In exposure to PAHs, a significantly higher seminal leukocyte infiltration was observed, as well as lower activity in seminal plasma of superoxide dismutase (SOD) and a reduced glutathione/oxidised glutathione (GSH/GSSG) ratio. The oxidative stress parameters of seminal plasma did not show a relationship with sperm cellularity, neither in those exposed nor in those not exposed to PAH. Conclusion: One year of exposure to PAH in a solar thermal plant does not have a negative impact on the sperm cellularity of the worker, either quantitatively (sperm count) or qualitatively (motility, vitality, morphology, or cellular DNA fragmentation). However, PAH exposure is associated with lower antioxidant capacity and higher leukocyte infiltration in seminal plasma. Full article
(This article belongs to the Special Issue Oxidative Stress in Reproduction of Mammals)
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<p>Images of sperm DNA fragmentation. The halo indicates DNA integrity. Magnified 20× (<b>a</b>). Magnified 40× (<b>b</b>).</p>
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<p>Seminal plasma biomarker levels shown comparatively in the non-exposed and exposed groups. GHS/GSSG ratio (<b>a</b>). SOD (<b>b</b>).</p>
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9 pages, 1627 KiB  
Communication
Untargeted Metabolomic Profiling of Extracellular Vesicles Isolated from Human Seminal Plasma
by Manesh Kumar Panner Selvam, Partha K. Chandra, Zahra Bakhtiary, David W. Busija and Suresh C. Sikka
Biomolecules 2024, 14(10), 1211; https://doi.org/10.3390/biom14101211 - 26 Sep 2024
Viewed by 793
Abstract
Seminal extracellular vesicles (SemEVs) are repositories of biomolecules, including metabolites involved in the regulation of sperm function. The correlation between the metabolite profile of SemEVs and semen parameters, along with their role in regulating sperm function, is an unexplored area. This preliminary study [...] Read more.
Seminal extracellular vesicles (SemEVs) are repositories of biomolecules, including metabolites involved in the regulation of sperm function. The correlation between the metabolite profile of SemEVs and semen parameters, along with their role in regulating sperm function, is an unexplored area. This preliminary study evaluated the metabolomic content of SemEVs. Semen samples were obtained from 18 healthy men, and SemEVs were extracted from seminal plasma using the size exclusion chromatography qEV Gen 2–35 nm column coupled with an automatic fraction collector. The physical characterization of SemEVs was carried out with the ZetaView PMX-430-Z QUATT laser system. EV protein markers were detected using Western blot. In addition, these SemEVs were used for metabolomic profiling and functional bioinformatic analysis. The mean concentration of isolated SemEVs was 1.7 ± 1.1 × 1011/mL of seminal plasma, whereas SemEVs size and zeta potential were 129.5 ± 5.5 nm and −40.03 ± 3.99 mV, respectively. Western blot analysis confirmed the presence of EV specific markers such as CD81, ALIX, and TSG101. A total of 107 metabolites were identified using this untargeted metabolomic approach in SemEVs. Bioinformatics analysis further revealed that metabolites associated with tyrosine metabolism were highly enriched in these SemEVs. Ingenuity Pathway Analysis (IPA) also indicated that these metabolites present in SemEVs were involved in the regulation of the free radical scavenging pathway. Furthermore, our metabolomic results suggest that these SemEV-associated metabolites may play a pivotal role in the maintenance of seminal plasma redox homeostasis. Full article
(This article belongs to the Special Issue Extracellular Vesicles as Biomarkers of Diseases)
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<p>Detection of exosome specific markers such as CD81, ALIX, and TSG101 in SemEVs isolated from human semen. Original western blot images can be found in <a href="#app1-biomolecules-14-01211" class="html-app">Supplementary File S1</a>.</p>
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<p>Pathways enriched with metabolites present in seminal extracellular vesicles. This figure was generated by MetaboAnalyst 6.0.</p>
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<p>Molecular and cellular functions regulated by metabolites present in seminal extracellular vesicles. This figure was developed by IPA.</p>
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24 pages, 3277 KiB  
Article
A Comparison of White and Yellow Seminal Plasma Phosphoproteomes Obtained from Turkey (Meleagris gallopavo) Semen
by Katarzyna T. Rafalska, Aleksandra Orzołek, Joanna Ner-Kluza and Paweł Wysocki
Int. J. Mol. Sci. 2024, 25(18), 9941; https://doi.org/10.3390/ijms25189941 - 14 Sep 2024
Viewed by 782
Abstract
Seminal plasma is rich in proteins originating from various male reproductive organs. The phosphorylation of these proteins can significantly impact sperm motility, capacitation, and acrosome reaction. Phosphoproteomics identifies, catalogues, and characterizes phosphorylated proteins. The phosphoproteomic profiling of seminal plasma offers valuable insights into [...] Read more.
Seminal plasma is rich in proteins originating from various male reproductive organs. The phosphorylation of these proteins can significantly impact sperm motility, capacitation, and acrosome reaction. Phosphoproteomics identifies, catalogues, and characterizes phosphorylated proteins. The phosphoproteomic profiling of seminal plasma offers valuable insights into the molecular mechanisms that influence semen quality and male fertility. Thus, the aim of this study was a phosphoproteomic analysis of white and yellow turkey seminal plasma. The experimental material consisted of 100 ejaculates from BIG-6 turkeys between 39 and 42 weeks of age. The collected white and yellow turkey seminal plasmas were analyzed for total protein content; the activity of selected enzymes, i.e., alkaline phosphatase (ALP), acid phosphatase (ACP), superoxide dismutase (SOD), glutathione peroxidase (GPx), and catalase (CAT); and the content of reduced glutathione (GSH) and malondialdehyde (MDA). Phosphoproteins were isolated from white and yellow seminal fluids, and the resulting protein fractions were separated by SDS-PAGE and Western blotting. Phosphorylated residues were immunodetected, and the isolated phosphoproteins were identified (nano LC-MS/MS). Yellow seminal plasmas were characterized by higher levels of total protein, GSH, and MDA, as well as higher levels of ALP, ACP, and GPx activity. There were no significant differences in the activity of SOD and CAT. A total of 113 phosphoproteins were identified in turkey seminal fluids. The functional analysis demonstrated that these phosphoproteins were mainly involved in oocyte fertilization, organization and metabolism of the actin cytoskeleton, amplification of the intracellular signal transduction pathway, general regulation of transport, vesicular transport, proteome composition of individual cellular compartments, and the organization and localization of selected cellular components and macromolecules. Increased phosphorylation of the fractions containing proteins encoded by SPARC, PPIB, TRFE, QSOX1, PRDX1, PRDX6, and FASN genes in white plasmas and the proteins encoded by CKB, ORM2, APOA1, SSC5D, RAP1B, CDC42, FTH, and TTH genes in yellow plasmas was observed based on differences in the optical density of selected bands. The obtained results indicate that the phosphorylation profiles of turkey seminal plasma proteins vary depending on the type of ejaculate. Full article
(This article belongs to the Section Biochemistry)
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<p>Specific phosphoproteins demonstrated by SDS-PAGE in both white (W) and yellow (Y) seminal plasma (<b>A</b>), white seminal plasma (<b>B</b>), and yellow seminal plasma (<b>C</b>) of turkeys.</p>
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<p>Immunodetection of fractions in white (<b>A</b>,<b>C</b>,<b>E</b>) and yellow (<b>B</b>,<b>D</b>,<b>F</b>) seminal plasmas phosphorylated on different residues, i.e., serine (<b>A</b>,<b>B</b>), threonine (<b>C</b>,<b>D</b>), and tyrosine (<b>E</b>,<b>F</b>).</p>
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<p>Ten most essential functions of the identified turkey seminal plasma phosphoproteins. Based on the GO Biological Process database in ShinyGO 0.77.</p>
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<p>An analysis of the network protein–protein interactions between the phosphoproteins identified in turkey seminal plasma based on the STRING 11.5 database. The proteins were divided into 11 functional groups. The lines connecting individual proteins represent the interactions. The types of interactions are marked with differently colored lines: <span style="color:#009999">turquoise</span>—known interactions that were identified in selected databases, <span style="color:#FF6699">pink</span>—known interactions that were determined experimentally, <span style="color:#33CC33">green</span>—interactions predicted based on gene neighborhood, <span style="color:#FF3300">red</span>—interactions that are likely on the assumption of gene fusion, <span style="color:#66CCFF">blue</span>—interactions predicted based on the co-occurrence of genes in metabolic pathways, <span style="color:#FFD966">yellow</span>—data from the database, black—gene co-expression, <span style="color:#9999FF">purple</span>—protein homology.Dashed lines represent interactions between proteins from different groups.</p>
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<p>Genes encoding some proteins present in bands differentially phosphorylated in white (white circles) and yellow (yellow circles) seminal plasmas.</p>
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17 pages, 317 KiB  
Article
Spermiogram, Kinetics, Flow Cytometric Characteristics and DNA Damage Degree in Boar Ejaculates: Summarization and Clustering
by Raquel Ausejo-Marcos, María Teresa Tejedor, Sara Miguel-Jiménez, Belén Gómez-Giménez, Cristina Soriano-Úbeda, Noelia Mendoza, Alejandro Vicente-Carrillo, William Fernando Hurtado, Celia Ávila Holguín, Bernardino Moreno and María Victoria Falceto
Vet. Sci. 2024, 11(9), 420; https://doi.org/10.3390/vetsci11090420 - 9 Sep 2024
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Abstract
Boar semen analysis includes sperm motility, concentration, morphology and other more complex analyses such as membrane integrity, DNA damage and seminal plasma components. This study aims to summarize these numerous data by linear combinations of them, to classify ejaculates in several categories (clusters) [...] Read more.
Boar semen analysis includes sperm motility, concentration, morphology and other more complex analyses such as membrane integrity, DNA damage and seminal plasma components. This study aims to summarize these numerous data by linear combinations of them, to classify ejaculates in several categories (clusters) and to investigate the potential differences among clusters on fertility and prolificacy. Young Pietrain boars (23 ± 3.6 months) were investigated: ten boars from the Nucléus genetic line (group 1: 90 ejaculates weekly) and five boars from the Batallé genetic line (group 2: 30 ejaculates weekly). Computer-assisted semen analysis (CASA) examined motility. Sperm viability, acrosome reaction, early apoptosis, mitochondrial activity and DNA damage were studied by flow cytometry analysis. SPSS v.26 software was used to perform principal component analysis (PCA) and clustering. Three principal components (PC1: speed; PC2: linear path; PC3: DNA damage) were detected and four clusters identified in both groups. Clusters also differed significantly in several variables not included in these PCs (group 1: beat cross frequency and poly (ADP-ribose) polymerase; group 2: cathepsin B, abnormal forms, mitochondrial activity and high DNA stainability). PCA and clustering achieved adequate description of these ejaculates, but no differences among clusters were found for fertility or prolificacy, probably because the minimum sperm requirements had been met. Full article
(This article belongs to the Special Issue Sperm Biotechnology in Animals Reproduction)
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