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OBJECTIVE: To review recent literature pertaining to collagenase clostridium histolyticum (CCh)and other intralesional (IL) therapies for the treatment of Peyronies disease (PD). METHODS: A systematic search of literature was performed using MEDLINE and PubMed.Peyronies Disease Clostridium Histolyticum, Peyronies Disease Intralesional, PeyroniesDisease Causes, and Atypical Peyronies Disease were used as query entries. Inclusion criteriarequired English text from 1980 onwards and have a full text available. Records were reviewed for study power, accuracy, and relevance to our research topic. The review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria. RESULTS: Recent literature supports the notion that CCh is the most effective IL treatment forpatients with typical and atypical PD. The capstone CCh study was the IMPRESS trial thatshowed a 34% reduction in curvature with a mean (SD) - 17.0 (14.8)° reduction with IL CCh,while men in the placebo saw an average 18.2% decrease in penile bend with a mean (SD) - 9.3 (13.6)° per person (P < 0.001). A shortened protocol for IL CCh treatment offered a 31.4%reduction in curvature, while decreasing cost and office visits, potentially increasing patientcompliance. Lastly, literature shows CCh is used most in atypical cases, with ~64.8% of patients being treated with CCh, probably because of the high efficacy and safetyprofile that it offers. Serious complications associated with CCh include urethralinjury, corporal rupture, and penile fracture. CONCLUSION: Since the approval of CCh by the United States Food and Drug Administration in2013, it has been a staple in the treatment of PD, and here we report the continuedsuperiority of this therapy. CCh is an effective, minimally invasive option in most PDpopulations; however, recent changes have made CCh unavailable for commercial use outside the United States, impacting many patients who have previously benefited.

Aim and Background: To investigate the association of serum uric acid (SUA) levels along with statin use in Renal Cell Carcinoma (RCC), as statins may be associated with improved outcomes in RCC and SUA elevation is associated with increased risk of chronic kidney disease (CKD). Methods: Retrospective study of patients undergoing surgery for RCC with preoperative/postoperative SUA levels between 8/2005-8/2018. Analysis was carried out between patients with increased postoperative SUA vs. patients with decreased/stable postoperative SUA. Kaplan-Meier analysis (KMA) calculated overall survival (OS) and recurrence free survival (RFS). Multivariable analysis (MVA) was performed to identify factors associated with increased SUA levels and all-cause mortality. The prognostic significance of variables for OS and RFS was analyzed by cox regression analysis. Results: Decreased/stable SUA levels were noted in 675 (74.6%) and increased SUA levels were noted in 230 (25.4%). A higher proportion of patients with decreased/stable SUA levels took statins (27.9% vs. 18.3%, p = 0.0039). KMA demonstrated improved 5- and 10-year OS (89% vs. 47% and 65% vs. 9%, p < 0.001) and RFS (94% vs. 45% and 93% vs. 34%, p < 0.001), favoring patients with decreased/stable SUA levels. MVA revealed that statin use (Odds ratio (OR) 0.106, p < 0.001), dyslipidemia (OR 2.661, p = 0.004), stage III and IV disease compared to stage I (OR 1.887, p = 0.015 and 10.779, p < 0.001, respectively), and postoperative de novo CKD stage III (OR 5.952, p < 0.001) were predictors for increased postoperative SUA levels. MVA for all-cause mortality showed that increasing BMI (OR 1.085, p = 0.002), increasing ASA score (OR 1.578, p = 0.014), increased SUA levels (OR 4.698, p < 0.001), stage IV disease compared to stage I (OR 7.702, p < 0.001), radical nephrectomy (RN) compared to partial nephrectomy (PN) (OR 1.620, p = 0.019), and de novo CKD stage III (OR 7.068, p < 0.001) were significant factors. Cox proportional hazard analysis for OS revealed that increasing age (HR 1.017, p = 0.004), increasing BMI (Hazard Ratio (HR) 1.099, p < 0.001), increasing SUA (HR 4.708, p < 0.001), stage III and IV compared to stage I (HR 1.537, p = 0.013 and 3.299, p < 0.001), RN vs. PN (HR 1.497, p = 0.029), and de novo CKD stage III (HR 1.684, p < 0.001) were significant factors. Cox proportional hazard analysis for RFS demonstrated that increasing ASA score (HR 1.239, p < 0.001, increasing SUA (HR 9.782, p < 0.001), and stage II, III, and IV disease compared to stage I (HR 2.497, p < 0.001 and 3.195, p < 0.001 and 6.911, p < 0.001) were significant factors. Conclusions: Increasing SUA was associated with poorer outcomes. Decreased SUA levels were associated with statin intake and lower stage disease as well as lack of progression to CKD and anemia. Further investigation is requisite.

Objective:Bone metastasis occurs in up to 90% of men with advanced prostate cancer and leads to fractures, severe pain and therapy-resistance. Bone metastases induce a spectrum of types of bone lesions which can respond differently to therapy even within individual prostate cancer patients. Thus, the special environment of the bone makes the disease more complicated and incurable. A model in which bone lesions are reproducibly induced that mirrors the complexity seen in patients would be invaluable for pre-clinical testing of novel treatments. The microstructural changes in the femurs of mice implanted with PCSD1, a new patient-derived xenograft from a surgical prostate cancer bone metastasis specimen, were determined. Methods:Quantitative micro-computed tomography (micro-CT) and histological analyses were performed to evaluate the effects of direct injection of PCSD1 cells or media alone (Control) into the right femurs of Rag2-/-γc-/- male mice. Results:Bone lesions formed only in femurs of mice injected with PCSD1 cells. Bone volume (BV) was significantly decreased at the proximal and distal ends of the femurs (p

Male infertility has affected an increasingly large population over the past few decades, affecting over 186 million people globally. The advent of assisted reproductive technologies (ARTs) and artificial intelligence (AI) has changed the landscape of diagnosis and treatment of male infertility. Through an extensive literature review encompassing the PubMed, Google Scholar, and Scopus databases, various AI techniques such as machine learning (ML), artificial neural networks (ANNs), deep learning (DL), and natural language processing (NLP) were examined in the context of evaluating seminal quality, predicting fertility potential, and improving semen analysis. Research indicates that AI models can accurately estimate the quality of semen, diagnose problems with sperm, and provide guidance on reproductive health decisions. In addition, developments in smartphone-based semen analyzers and computer-assisted semen analysis (CASA) are indicative of initiatives to improve the price, portability, and accuracy of results. Future directions point to possible uses for AI in ultrasonography assessment, microsurgical testicular sperm extraction (microTESE), and home-based semen analysis. Overall, AI holds significant promise in revolutionizing the diagnosis and treatment of male infertility, offering standardized, objective, and efficient approaches to addressing this global health challenge. [ABSTRACT FROM AUTHOR]

A major global health concern, male infertility affects 8–12% of couples globally. Leukocytospermia is a complicated illness that is distinguished from other reasons causing male infertility by having high white blood cell counts in semen. The complex mechanisms behind leukocytospermia's effects on sperm function and fertility are examined in this review. Leukocytospermia induces oxidative stress and reactive oxygen species (ROS) that impair DNA integrity, mitochondrial function, cytoplasmic extrusion, and sperm quality overall. Leukocytospermia is exacerbated by non-infectious factors, such as substance abuse and varicocele, even though genital tract infections are a common cause. The usefulness and dependability of diagnostic techniques range from immunochemistry to direct counting. Although there is still disagreement on the most effective course of action, clinical-care techniques, such as antioxidant supplementation and antibiotic therapy, attempt to address underlying causes and reduce ROS-induced damage. Prospectively, the combination of artificial intelligence with the latest developments in artificial reproductive technologies presents opportunities for more precise diagnosis and customized treatments. [ABSTRACT FROM AUTHOR]