Introduction: Nonalcoholic fatty liver disease (NAFLD) is considered the hepatic manifestation of metabolic syndrome (MetS). Although the link between MetS and erectile dysfunction (ED) is well known, clinical studies investigating the association between NAFLD and ED are scant.
Aim: To evaluate the relationship between NAFLD and ED.
Methods: Male patients with biopsy-proven NAFLD were prospectively asked to fill the five-item International Index of Erectile Function (IIEF-5) questionnaire. Their clinical and histologic variables were compared with the IEFF scores.
Main Outcome Measures: IIEF scores; proportions of NAFLD patients who demonstrated ED and/or MetS; association between the severity of histological hepatic damage and ED.
Results: Forty male patients having an age range of 33 (24-57) and a mean age of 40.13 ± 10.22 years with biopsy-proven NAFLD had a median IIEF-5 score of 16 (9-25) and MetS was present in 23 (57.5%). ED severity distributions as moderate, mild, and no ED were 11 (27.5%), 16 (40%), and 13 (32.5 %), respectively. Histological NAFLD score was significantly higher in patients having ED compared with patients with no ED (5.63 ± 1.39 vs. 4.15 ± 1.46; P = .006). MetS diagnosis was significantly more common in patients having ED, compared with those without ED [19 (70.4%) vs. 4 (30.8%), respectively, P = .018)]. When patients with and without ED were compared, gamma glutamyl transferase was significantly lower in ED, whereas components of MetS did not correlate with ED. After multivariate analysis, NAFLD score has remained the only significant outcome associated with ED [P = .03; OR (95% CI): 2.38 (1.079-5.238)].
Conclusion: The current clinical study demonstrates a significant association between nonalcoholic steatohepatitis and ED for the first time. Our findings suggest liver damage may play role in the pathogenesis of ED in patients with NAFLD. Future studies are needed to expand the underlying common mechanisms responsible for this novel hypothesis.
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http://dx.doi.org/10.1016/j.jsxm.2015.12.030 | DOI Listing |
Neurol Sci
January 2025
Epilepsy Center, Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
This study intents to detect graphical network features associated with seizure relapse following antiseizure medication (ASM) withdrawal. Twenty-four patients remaining seizure-free (SF-group) and 22 experiencing seizure relapse (SR-group) following ASM withdrawal as well as 46 matched healthy participants (Control) were included. Individualized morphological similarity network was constructed using T1-weighted images, and graphic metrics were compared between groups.
View Article and Find Full Text PDFMAGMA
January 2025
Aix Marseille Univ, CNRS, CRMBM, Marseille, France.
Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness in this field. However, the impact of reducing neural network complexity remains unexplored in the FF quantification in individual muscles.
View Article and Find Full Text PDFClin Rheumatol
January 2025
Biochemistry Department, Faculty of Pharmacy, Cairo University, Cairo, 11562, Egypt.
The current study was deployed to evaluate the role of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and miR-155, along with the inflammatory markers, TNFα and IL-6, and the adhesion molecule, cluster of differentiation 106 (CD106), in Behçet's disease (BD) pathogenesis. The study also assessed MALAT1/miR-155 as promising diagnostic and prognostic biomarkers for BD. The current retrospective case-control study included 74 Egyptian BD patients and 50 age and sex-matched controls.
View Article and Find Full Text PDFMol Diagn Ther
January 2025
Istituto Europeo di Oncologia, IRCCS, Via Adamello 16, 20139, Milan, Italy.
Background: Predicting response to targeted cancer therapies increasingly relies on both simple and complex genetic biomarkers. Comprehensive genomic profiling using high-throughput assays must be evaluated for reproducibility and accuracy compared with existing methods.
Methods: This study is a multicenter evaluation of the Oncomine™ Comprehensive Assay Plus (OCA Plus) Pan-Cancer Research Panel for comprehensive genomic profiling of solid tumors.
Intern Emerg Med
January 2025
Department of Emergency Medicine, Ataturk Sanatoryum Training and Research Hospital, Ankara, Turkey.
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