The objective of this work was to establish a novel Mongolian gerbil (Meriones unguiculatus) hyperlipidemia model and to investigate its susceptibility genetic basis. Two rodent (gerbil and rat) hyperlipidemia models were induced by feeding a high fat/high-cholesterol (HF/HC) diet. There were significant increases of serum total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) in gerbils within a 4-week modeling period. About 10-30% of >8-month-old individuals developed hyperlipidemia spontaneously. The apolipoprotein E (ApoE) gene was cloned by merging a sequence of rapid amplification of cDNA ends (RACE) and nested polymerase chain reaction products. The results revealed an open reading frame of 948 bp, encoding a protein of 298 amino acids. The gene without a 5'-UTR region in the first intron was highly homologous to human Apo-A-I and rat Apo-A-IV. The distribution of expression of the ApoE gene in liver, brain, heart, lung, kidney, and adrenal gland was detected by an ABC immunohistochemical procedure. Three single nucleotide polymorphisms (SNPs; C97T, G781T, and A1774T) were first found using PCR-single-strand conformation polymorphism (PCR-SSCP) in a closed population containing 444 animals. Correlation analysis confirmed that new SNPs, age, and gender were associated significantly (P < 0.05) with hyperlipidemia.
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http://dx.doi.org/10.1155/2014/410480 | DOI Listing |
Lipids Health Dis
January 2025
Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Jinan, China.
Background: Obesity is linked to a variety of metabolic issues, with hyperlipidemia being a crucial adjustable risk element for cardiovascular diseases (CVD). However, the connection between indicators of obesity with overall and CVD mortality in American adults with hyperlipidemia remains unknown.
Methods: This research employed an extensive cohort drawn from the National Health and Nutrition Examination Survey (NHANES) (2003-2018).
Gene
January 2025
Laboratory of Molecular Biology, Department of Biochemistry, School of Basic Medical Sciences, Anhui Medical University, Hefei, China. Electronic address:
Hyperlipidemia and myocardial apoptosis caused by myocardial ischemia are the main causes of high mortality rates in cardiovascular diseases. Previous studies have indicated that Krüppel-like factor 4 (KLF4) is involved in the induction of cardiac myocyte apoptosis under various stress conditions. In current study, we discovered that KLF4 also participates in palmitic acid (PA)-induced cardiac myocyte apoptosis.
View Article and Find Full Text PDFMetabolites
January 2025
Laboratory of Bioresources, Biotechnologies, Ethnopharmacology and Health, Faculty of Sciences, University Mohammed First, Oujda 60000, Morocco.
Background/objectives: Hyperlipidemia is a serious risk factor for cardiovascular diseases and liver steatosis. In this work, we explored the effect of an herbal formula (CBF) containing immature pods and extracts on lipid metabolism disorders and lipoprotein-rich plasma (LRP) oxidation in mice.
Methods: The phenolic composition was determined using HPLC-DAD analysis.
BMC Public Health
January 2025
Department of Econometrics, Faculty of Economics and Administrative Sciences, Ataturk University, 2nd Floor, Number: 222, Erzurum, Türkiye.
Background: Although mortality from myocardial infarction (MI) has declined worldwide due to advancements in emergency medical care and evidence-based pharmacological treatments, MI remains a significant contributor to global cardiovascular morbidity. This study aims to examine the risk factors associated with individuals who have experienced an MI in Türkiye.
Methods: Microdata obtained from the Türkiye Health Survey conducted by Turkish Statistical Institute in 2019 were used in this study.
BMC Emerg Med
January 2025
Shengli Clinical Medical College of Fujian Medical University, Department of Emergency, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fujian Provincial Key Laboratory of Emergency Medicine, Fuzhou, Fujian, China.
Background: Acute non-traumatic chest pain is one of the common complaints in the emergency department and is closely associated with fatal disease. Triage assessment urgently requires the use of simple, rapid tools to screen patients with chest pain for high-risk condition to improve patient outcomes.
Methods: After data preprocessing and feature selection, univariate and multiple logistic regression analyses were performed to identify potential predictors associated with acute non-traumatic chest pain.
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