Objective: To investigate the effect of peroxisome proliferator-activated receptor (PPAR)α agonist bezafibrate and oxidized low density lipoprotein (ox-LDL) on fibroblast growth factor 21 (FGF21) expression and apoptosis in cardiac endothelial cells.
Methods: The mRNA level of FGF21 was determined by real time-PCR and the protein concentration of FGF21 in culture media was detected by enzyme-linked immunosorbent assay in cultured cardiac microvascular endothelial cells (CMECs) incubated with 10, 50, 100 µg/ml ox-LDL, 50, 100 or 200 µmol/L bezafibrate alone or in combination with 100 µg/ml ox-LDL. CMECs apoptosis in various treatment groups was also determined.
Results: FGF21 mRNA and protein expressions were significantly upregulated in proportion to increased ox-LDL, and 200 µmol/L bezafibrate alone also significantly upregulated FGF21 expression and CMECs apoptosis was significantly reduced in 200 µmol/L bezafibrate + 100 µg/ml ox-LDL group compared to 100 µg/ml ox-LDL group (P < 0.05).
Conclusions: Our data suggest that bezafibrate and ox-LDL induced upregulation of FGF21 might mediate the protective effect against apoptosis. Endogenous FGF21 could thus play important roles in improving the endothelial function at the early stage of atherosclerosis and slowing the development of coronary heart disease.
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Zhong Nan Da Xue Xue Bao Yi Xue Ban
July 2024
Department of Nephrology, Third Xiangya Hospital, Central South University, Changsha 410013.
Objectives: Genetic factors play an important role in the pathogenesis of diabetic kidney disease (DKD). Studies have shown that gene polymorphism is associated with the pathogenesis of type 2 diabetes mellitus (T2DM), but its role in DKD remains unclear. This study aims to analyze the distribution of alleles and genotypes of gene in patients with T2DM, and investigate the association between genetic polymorphism and DKD susceptibility in T2DM patients, which may provide new ideas for the pathogenesis of DKD.
View Article and Find Full Text PDFPlants (Basel)
December 2024
Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Roselle ( L.) simple sequence repeat (SSR) markers were developed using RNA sequencing technology, providing a foundation for genetic analysis and the identification of roselle varieties. In this study, 10 785 unigenes containing 12 994 SSR loci with an average of one SSR locus per 6.
View Article and Find Full Text PDFArch Virol
November 2024
BJMC and Sassoon General Hospital, Pune, Maharashtra, India.
Interleukin 1 receptor antagonist (IL1RN) is a competitive inhibitor of interleukin 1 (IL-1). Natural killer cells (NK cells) contribute to the elimination of viruses by their antiviral effector function, which depends on a balance between inhibitory and activating receptor genes such as NKG2D and NKG2A. Using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) assays, the association of intronic single-nucleotide polymorphisms (SNPs) in these genes with viral infection were assessed in 111 patients with hepatitis E virus (HEV) infection and 222 HEV-naive healthy controls.
View Article and Find Full Text PDFOpen Vet J
September 2024
Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Padova, Italy.
Background: Since its discovery in 1926, Newcastle disease (ND) is still emerging in many avian species worldwide causing severe economic losses due to high mortality.
Aim: This article aims to discuss the challenge of virulent ND in poultry in Libya, focusing on recent outbreaks investigated in Alzintan, Alrayaina, Nalut, and Surman, cities located in the western region of Libya.
Methods: Clinical signs and lesions were recorded.
J Cheminform
October 2024
Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, M5S 3M2, Canada.
Drug solubility is an important parameter in the drug development process, yet it is often tedious and challenging to measure, especially for expensive drugs or those available in small quantities. To alleviate these challenges, machine learning (ML) has been applied to predict drug solubility as an alternative approach. However, the majority of existing ML research has focused on the predictions of aqueous solubility and/or solubility at specific temperatures, which restricts the model applicability in pharmaceutical development.
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