ABSTRACT
BACKGROUND: Palm kernel meal (PKM) is a by-product of oil palm kernel after oil extraction, which is widely used in animal feeds due to its high energy content. This study aimed to investigate the impact of supplementing Tibetan sheep with PKM on their hepatic phenotype, oxidative stress and immune response. A total of 120 Tibetan lambs (Initial weight = 12.37 ± 0.92 kg) were randomly assigned into four groups: control group (C group, 0% PKM diet), low group (L group, 15% PKM diet), middle group (M group, 18% PKM diet), and high group (H group, 21% PKM diet) on a dry matter basis. The feeding experiment was performed for 130 d, including a 10 d adaption period. RESULTS: Results showed that the level of GSH-Px were higher in the H and M groups than in the C and L groups (P < 0.05). The levels of IgM and TNF-α were higher in the M group when compared to those on the C group (P < 0.05). The level of IgA was significantly higher in the M group than in the H group (P < 0.05). Additionally, compared with the others groups, the hepatocytes in the M group displayed a radial arrangement, forming hepatic plates that were centered around the central vein. The transcriptome results revealed that proteasome 26 S subunit, ATPase 3 (PSMC3), proteasome 26 S subunit, ATPase 5 (PSMC5), proteasome 26 S subunit ubiquitin receptor, non-ATPase 4 (PSMD4), proteasome activator subunit 1 (PSME1), acyl-CoA dehydrogenase short/branched chain (ACADSB), enoyl-CoA hydratase, short chain 1 (ECHS1), serine dehydratase (SDS), ornithine transcarbamylase (OTC), and phenylalanine hydroxylase (PAH) were the hub genes regulating the amino acid metabolism in the liver. CONCLUSIONS: In summary, dietary 18% PMK supplementation contributed to improve the hepatic phenotype, oxidative stress and immune response through regulating the expression of related genes.
Subject(s)
Amino Acids , Animal Feed , Diet , Liver , Animals , Liver/metabolism , Animal Feed/analysis , Diet/veterinary , Amino Acids/metabolism , Sheep , Palm Oil , Oxidative Stress , Dietary Supplements , Male , Gene Expression Regulation/drug effects , TibetABSTRACT
Melanoma, a highly invasive type of skin cancer that penetrates the entire dermis layer, is associated with increased mortality rates. Excessive exposure of the skin to sunlight, specifically ultraviolet radiation, is the underlying cause of this malignant condition. The appearance of unique skin moles represents a visible clue, referred to as the "ugly duckling" sign, indicating the presence of melanoma and its association with cellular DNA damage. This research aims to explore potential biomarkers derived from microarray data, employing bioinformatics techniques and methodologies, for a thorough investigation of melanoma skin cancer. The microarray dataset for melanoma skin cancer was obtained from the GEO database, and thorough data analysis and quality control measures were performed to identify differentially expressed genes (DEGs). The top 14 highly expressed DEGs were identified, and their gene information and protein sequences were retrieved from the NCBI gene and protein database. These proteins were further analyzed for domain identification and network analysis. Gene expression analysis was conducted to visualize the upregulated and downregulated genes. Additionally, gene metabolite network analysis was carried out to understand the interactions between highly interconnected genes and regulatory transcripts. Molecular docking was employed to investigate the ligand-binding sites and visualize the three-dimensional structure of proteins. Our research unveiled a collection of genes with varying expression levels, some elevated and others reduced, which could function as promising biomarkers closely linked to the development and advancement of melanoma skin cancer. Through molecular docking analysis of the GINS2 protein, we identified two natural compounds (PubChem-156021169 and PubChem-60700) with potential as inhibitors against melanoma. This research has implications for early detection, treatment, and understanding the molecular basis of melanoma.
Subject(s)
Melanoma , Skin Neoplasms , Humans , Melanoma/genetics , Melanoma/metabolism , Molecular Docking Simulation , Ultraviolet Rays , Skin Neoplasms/genetics , Gene Expression Profiling/methods , Biomarkers , Gene Regulatory Networks , Computational Biology/methods , Biomarkers, Tumor/genetics , Gene Expression Regulation, Neoplastic , Chromosomal Proteins, Non-Histone/genetics , Chromosomal Proteins, Non-Histone/metabolismABSTRACT
This research explores DNA consistency and attempts to detect STR profiles from the degrading menstrual blood samples (MBS) as reliable forensic evidence. Peripheral (PBS) and MBS of 30 healthy fertile females were taken on the menstrual cycle's second day. They were obtained at different time periods (0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 24, and 48 h) at 25 °C. DNA evaluation was fulfilled to analyze DNA profiles. A considerable elevation in the median concentrations of DNA between 0 and 14-h intervals were documented, whereas decreased extents were registered between 16 and 48 h. Moreover, complete STR profiles (24/24) for DNA were discovered in all the intervals (0, 2, and 48 h). Periods of 0-8 h demonstrated the maximum extents of DNA materials. Full STR were discovered in all the intervals (0, 2, and 48 h). Eventually, MBS can be utilized as forensic evidence.
