Background: Bull terrier hereditary nephritis represents a model for autosomal dominant Alport syndrome, as affected dogs have the characteristically lamellated glomerular basement membrane and demonstrate vertical male-to-male disease transmission.
Methods: This study compared the histopathological features in kidneys from affected Bull terrier neonates, puppies, and adult dogs with normal or impaired renal function, with the histopathological appearance of kidneys from age- and size-matched normal dogs.
Results: There were fewer glomeruli per unit area of cortex in kidneys from affected neonatal kidneys (P<0.05), increased numbers of fetal glomeruli in affected puppy kidneys (P<0.05), and a separate population of glomeruli with larger renal corpuscles and glomerular tufts in kidneys from affected adult dogs with normal renal function (both P<0.0001) compared with normal dogs. Other histological features that are characteristic of human X-linked and autosomal recessive Alport syndrome and that were present included hypercellular glomeruli, occasional crescents, segmental and global glomerular sclerosis, periglomerular fibrosis, interstitial fibrosis without significant cellular infiltrates and cystic dilatation of Bowman's capsular space and tubules. In dogs with renal impairment, the tubular index was the best predictor of increased urinary protein:creatinine (r=0.92) compared with glomerular, interstitial and vascular indices (r=0.77, 0.88 and 0.81), and medullary fibrosis correlated best with serum creatinine (r=0.72, P=0.0002).
Conclusions: The demonstration in Bull terrier kidneys of fewer nephrons in neonates increased fetal glomeruli, and a separate population of glomeruli with larger corpuscles and tufts reflects the effects of the underlying genetic mutation that are first manifest antenatally. The major determinant of renal impairment in adult affected Bull terriers is, however, progressive tubulointerstitial damage after birth.
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http://dx.doi.org/10.1093/ndt/17.11.1897 | DOI Listing |
Hum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
Int J Womens Dermatol
March 2025
Private Practice, Pretoria, South Africa.
Background: Nevus of Hori (HN) has been primarily reported in patients of Eastern Asian descent, with a paucity of data regarding HN occurring in African patients. In this study, we report on South African patients with HN initially thought to have melasma.
Objective: To characterize the histopathological and clinical phenotypes of HN in African patients.
Background: Alport syndrome (AS) is a multifaceted condition that primarily affects the basement membranes of the kidneys, ears, and eyes. AS is considered the second most common cause of hereditary renal failure, exhibiting varied clinical manifestations across different lifespans. The aim of this study is to investigate the clinical features and genetic profile of AS and to elucidate the genotype-phenotype correlation of AS.
View Article and Find Full Text PDFInt J Surg Pathol
January 2025
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
The diagnosis of primary leiomyosarcoma (LMS) of bone is generally established based on integrative findings of morphologic features, immunohistochemical staining, and clinical and radiological findings. There are no specific genetic alterations that can be used to confirm the diagnosis of LMS in challenging diagnoses of bone sarcomas with myogenic differentiation. In this study, we assessed the utility of a DNA methylation-based classifier as an ancillary diagnostic tool for subclassifying bone sarcomas with myogenic differentiation.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Background: First-line treatment for advanced gastric adenocarcinoma (GAC) with human epidermal growth factor receptor 2 (HER2) is trastuzumab combined with chemotherapy. In clinical practice, HER2 positivity is identified through immunohistochemistry (IHC) or fluorescence in situ hybridization (FISH), whereas deep learning (DL) can predict HER2 status based on tumor histopathological features. However, it remains uncertain whether these deep learning-derived features can predict the efficacy of anti-HER2 therapy.
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