The influence of 17α-methyltestosterone (MT) on growth responses, biological parameters and the expression of genes involved in the GH-IGF pathway of the hypothalamic-pituitary-liver-gonadal axis were investigated in female, male, and sex-reversed Nile tilapia to evaluate the relationship between sex and MT-induced changes in these parameters. Female fish had a lower growth rate than male and sex-reversed fish, and MT increased growth performance and duodenal villi in females. Most but not all biological parameters of sex-reversed fish were similar to those of male fish. Male fish had higher red blood cell counts and hemoglobin levels than female and sex-reversed fish, suggesting that these hematological indices reflect a higher metabolic rate in male fish. Greater blood triglyceride levels indicated the vitellogenin process in female fish. MT increased the alternative complement activity in female fish (P<0.05). Sex and MT had no significant effects on the hypothalamic mRNAs of GHRH and PACAP. Although not statistically significant, females tended to have higher GH mRNA levels than male and sex-reversed fish. Additionally, MT tended to decrease and increase GH mRNA levels in female and male fish, respectively. There were significant differences among sexes in the expression of GHR, and IGF mRNAs at the peripheral level in the liver and gonads. Females had lower hepatic GHRs and higher ovarian GHRs than male and sex-reversed fish. While the mRNA levels of IGF-1 were lower in the ovary, the levels of IGF-2 were higher compared with those in testes. A significant correlation between GHRs and IGFs was demonstrated in the liver and gonad (except for IGF-1). Multiple regression analysis showed a significant relationship between GH mRNA and both GHRs and IGFs in the liver and gonad. MT exerted androgenic and, to some extent, estrogenic effects on several physiological parameters and GH-IGF action.
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http://dx.doi.org/10.1016/j.ygcen.2012.03.008 | DOI Listing |
Mol Biol Rep
January 2025
Department of Clinical Science, Science and Research Branch, Islamic Azad University, Tehran, Iran.
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View Article and Find Full Text PDFJ Mol Histol
January 2025
Department of Histology and Embryology, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey.
Genital tract infections are common causes of male infertility, and most of diagnosed men are asymptomatic. This study examined the effect of gallic acid (GA) against lipopolysaccharide (LPS)-induced testicular inflammation. Thirty-two Spraque Dawley, 2.
View Article and Find Full Text PDFRev Gastroenterol Peru
January 2025
Division of Gastroenterology, Department of Internal Medicine, Virginia Tech Carilion Clinic, Roanoke, Virginia, USA.
Objectives: Pancreatic duct leaks can cause ascites, and fluid amylase can be used as a marker to suggest pancreatic duct leak; however, there is no reference parameter or cutoff value for diagnosis. We assessed whether a novel ratio of ascitic fluid to serum amylase can reliably predict pancreatic leaks and need for endoscopic retrograde cholangiopancreatography (ERCP).
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Eur J Pain
February 2025
Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium.
Background: Complex regional pain syndrome (CRPS) is a debilitating condition characterised by significant heterogeneity. Early diagnosis is critical, but limited data exists on the condition's early stages. This study aimed to characterise (very) early CRPS patients and explore potential subgroups to enhance understanding of its mechanisms.
View Article and Find Full Text PDFBiotechnol Bioeng
January 2025
Boehringer Ingelheim Pharma GmbH & Co.KG, Biopharmaceuticals Germany, Biberach an der Riß, Germany.
Process models are increasingly used to support upstream process development in the biopharmaceutical industry for process optimization, scale-up and to reduce experimental effort. Parametric unstructured models based on biological mechanisms are highly promising, since they do not require large amounts of data. The critical part in the application is the certainty of the parameter estimates, since uncertainty of the parameter estimates propagates to model predictions and can increase the risk associated with those predictions.
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