👤 Hossein Hosseinzadeh

Following their domestication, chickens were translocated around the world to novel environments. Through a combination of natural and artificial selection, chickens adapted to these local conditions, creating significant genetic diversity across populations worldwide. Studying this diversity in the context of local environmental conditions may offer insights into mechanisms of adaptation to environmental stressors. In this study, we analyzed genomic data from the Chicken Genomic Diversity Consortium, applying multiple statistical approaches, including fixation index (F The online version contains supplementary material available at 10.1038/s41598-026-41813-8. Show less

G protein-coupled receptors (GPCRs) play key roles in physiology and are central targets for drug discovery and development, yet the design of protein agonists and antagonists has been challenging as GPCRs are integral membrane proteins and conformationally dynamic. Here we describe computational Show less

ANGPTLs (Angiopoietin-like proteins) 3 and 4 play an important role in the development of type 2 diabetes. These glycoproteins affect the modulation of glucose and lipid metabolism. They inhibit lipoprotein lipase (LPL) activity and provoke lipolysis. This study was aimed to investigate the protein levels of ANGPTL3 and 4 in the serum of type 2 diabetic patients with metabolic syndrome in comparison to the type 2 diabetic patients without metabolic syndrome and the control group. Three groups of individuals were included in this study; Group I: 47 patients with type 2 diabetes and metabolic syndrome; Group II: 25 patients with type 2 diabetes without metabolic syndrome; Group III: 40 non-diabetic healthy people without metabolic syndrome as a control group. After collection of 5 mL fasting blood samples, serum concentrations of fasting blood sugar (FBS), cholesterol (Chol), triglyceride (TG), HDL-C (High-density lipoprotein-Cholesterol) and LDL-C (Low-density lipoprotein-Cholesterol) were measured by the enzymatic method; blood pressure (BP), height and weight with stadiometers; and ANGPTL3 and 4 by the enzyme-linked immunosorbent assay (ELISA). The serum levels of ANGPTL3 was significantly different among our three groups (p = .000). In patients with type 2 diabetes and metabolic syndrome (Group I), ANGPTL3 and 4 levels were lower than the control group. The serum levels of the parameters evaluated in this study (except HDL-C) was lower in the group II in comparison with the group I, and this difference was significant for TG, Chol, BP and BMI between these two groups. Also, our results revealed that there was a negative correlation between FBS, TG, Chol, LDL-C and BMI with ANGPTL3 and 4. While, there was a significant positive correlation between ANGPTL4 and ANGPTL3. Altogether, our findings suggest that the decreased levels of ANGPTL3 and 4 may be a causative factor for type 2 diabetes. Show less

Imagine consuming a daily diet rich in fatty acids to help treat diseases such as hypertension and obesity. This concept presents an attractive paradox. In particular, consuming walnut kernels is beneficial for treating diseases associated with metabolic syndrome (MetS), including type 2 diabetes, cardiovascular disease, dyslipidemia, and obesity. Different parts of the Show less

Genetic research for the assessment of mastitis and milk production traits simultaneously has a long history. The main issue that arises in this context is the known existence of a positive correlation between the risk of mastitis and lactation performance due to selection. The transcriptome-wide association study (TWAS) approach endeavors to combine the expression quantitative trait loci and genome-wide association study summary statistics to decode complex traits or diseases. Accordingly, we used the farmgtex project results as a complete bovine database for mastitis and milk production. The results of colocalization and TWAS approaches were used for the detection of functional associated candidate genes with milk production and mastitis traits on multiple tissue-based transcriptome records. Also, we used the david database for gene ontology to identify significant terms and associated genes. For the identification of interaction networks, the genemania and string databases were used. Also, the available z-scores in TWAS results were used for the calculation of the correlation between tissues. Therefore, the present results confirm that LYNX1, DGAT1, C14H8orf33, and LY6E were identified as significant genes associated with milk production in eight, six, five, and five tissues, respectively. Also, FBXL6 was detected as a significant gene associated with mastitis trait. CLN3 and ZNF34 genes emerged via both the colocalization and TWAS approaches as significant genes for milk production trait. It is expected that TWAS and colocalization can improve our perception of the potential health status control mechanism in high-yielding dairy cows. Show less

A number of genome-wide association studies (GWASs) have identified several genetic determinants of plasma lipids in European populations, in which analytical approaches have often been based on the linear regression models and the association test between a SNP and each lipid component individually in cross-sectional designs. Since lipid variations are correlated, the consideration of pleiotropy is necessary and using methods that can perform simultaneous association test of multiple longitudinal traits provides more information about the recognition of the pleiotropic variants. To identify new pleiotropic variants and to determine whether loci identified in previous GWASs can also exert the same effect on lipid concentrations in Iranian population, longitudinal measurements of lipid variations were used in a sample of Iranian population (16,353 individuals within 3100 families) that followed up every 3 years and using a two-step model, the associations of 20,036 available SNPs on chromosome 16 were assessed. Twenty variants within the AC009035.1, SLC12A3, CETP, NLRC5, ESRP2 and, C16orf95 genes showed strong evidence for association with HDL-C, cholesterol, and triglycerides with p-values ranging from 1.7 × 10 Show less