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The angiotensin I-converting enzyme (ACE)-inhibitory peptide SQPK was selected by in silico digestion and virtual screening from goat β-casein, and its effect and regulatory mechanism on function of endothelial cells was further evaluated. The results showed that SQPK exhibited relatively good ACE inhibition capacity (IC = 452.7 μg/mL). Treatment with 25 μg/mL SQPK for 12 h significantly elevated nitric oxide (NO) production, stimulated eNOS expression (p < 0.05) and affected the transcriptomic profiling of EA. Hy926 cells. In particular, SQPK stimulated the expression of genes encoding inflammatory cytokines (CXCL1/2 and IL6) but depressed encoding mesenchymal markers (FN1 and CNN3). Furthermore, SQPK modified the expression of genes involved in endothelial-to-mesenchymal transition (EndMT). Therefore, the selected peptide SQPK may exert potential protective effects on the function of endothelial cells by inhibiting the EndMT.
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http://dx.doi.org/10.1016/j.ijbiomac.2023.127312 | DOI Listing |
Front Immunol
September 2025
Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
NSG-SGM3 humanized mouse models are well-suited for studying human immune physiology but are technically challenging and expensive. We previously characterized a simplified NSG-SGM3 mouse, engrafted with human donor CD34 hematopoietic stem cells without receiving prior bone marrow ablation or human secondary lymphoid tissue implantation, that still retains human mast cell- and basophil-dependent passive anaphylaxis responses. Its capacities for human antibody production and human B cell maturation, however, remain unknown.
View Article and Find Full Text PDFCan Vet J
September 2025
Department of Clinical Sciences, College of Veterinary Medicine, Auburn University, Auburn Alabama, USA (Schwartz, Waters, Cole, Forehand, Prim, Rush, Stockler); Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn Alabama, USA (Neto).
A 1-year-old intact Nigerian dwarf nulliparous doe was presented to the Auburn University College of Veterinary Medicine, Large Animal Teaching Hospital in March 2024 for evaluation of recurrent perivulvar masses of 3 mo duration. Transcutaneous ultrasonographic examination of the labia and ventrolateral peri-vulvar area was carried out. This examination revealed a horizontally oriented, bilobed mass on the dorsal left labia majora, and a separate mass located directly below the ventral vulvar commissure.
View Article and Find Full Text PDFVet World
July 2025
Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, Indonesia.
Background And Aim: Indonesia's indigenous Kacang goat population is in decline, posing a threat to food security and genetic diversity. maturation and cryopreservation techniques are key strategies for genetic conservation. However, heat shock stress during cryopreservation can compromise oocyte viability.
View Article and Find Full Text PDFVet World
July 2025
Department of Clinical Laboratory Science, Chair of Medical and Molecular Genetics Research, College of Applied Medical Science, King Saud University, Riyadh, Saudi Arabia.
Background And Aim: Bluetongue virus (BTV), an arbovirus of major economic importance, affects domestic and wild ruminants globally and is primarily transmitted by Culicoides biting midges. The virus is endemic in many regions, yet limited data are available for Saudi Arabia. This study aimed to determine the seroprevalence of BTV antibodies in cattle, goats, sheep, and camels across two ecologically distinct regions in central Saudi Arabia and to assess species- and region-specific risk profiles.
View Article and Find Full Text PDFVet World
July 2025
Department of Veterinary Science, Faculty of Veterinary Medicine, Rajamangala University of Technology Tawan-OK, Chonburi, Thailand.
Background And Aim: Granulosa cells (GCs) are crucial mediators of follicular development and oocyte competence in goats, with their gene expression profiles serving as potential biomarkers of fertility. However, the lack of a standardized, quantifiable method to assess GC quality using transcriptomic data has limited the translation of such findings into reproductive applications. This study aimed to develop a hybrid deep learning model integrating one-dimensional convolutional neural networks (1DCNNs) and gated recurrent units (GRUs) to classify GCs as fertility-supporting (FS) or non-fertility-supporting (NFS) using single-cell RNA sequencing (scRNA-seq) data.
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