Palm kernel meal regulates the expression of genes involved in the amino acid metabolism in the liver of Tibetan sheep.

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.

Identification of potential biomarkers for melanoma cancer (black tumor) using bioinformatics strategy: a study based on GEO and SRA datasets.

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.

Reducing metastasis ability of gastric cancer cell line by targeting MMP16 using miR-193a-5p and 5-FU.

PURPOSE: Co-administration of microRNAs and chemotherapy drugs effectively treats several cancers. The current study sought to investigate the function of matrix metalloproteinase 16 (MMP16) and miR-193a-5p in the pathogenesis of gastric cancer (GC). MATERIALS/METHODS: Sixty-five surgical patients, 15 receiving 5-fluorouracil (5-FU), provided GC and adjacent non-cancerous tissue. Following that, qPCR was used to assess the expression levels of MMP16 and miR-193a-5p in GC cells. The impact of miR-193a-5p and 5-FU administration on MMP16 mRNA expression was evaluated using qRT-PCR and Western blotting. MTT and Scratch tests were also conducted to assess their effects on cell viability and migration. Moreover, a rescue experiment using an MTT assay was performed. Using flow cytometry, the apoptotic rate was calculated. Finally, it was evaluated how MMP16 and miR-193a-5p related to the clinicopathological characteristics of the patients. RESULTS: The current study found that while MMP16 expression increased in GC patients (P â€‹< â€‹0.0001), miR-193a-5p expression significantly decreased (P â€‹< â€‹0.001). MMP16 down-regulation was another effect of miR-193a-5p replacement, particularly when 5-FU was added (P â€‹< â€‹0.01). In addition, this study found that miR-193a-5p, by concentrating on MMP16, decreased the migration of GC cells brought on by MMP16. In GC cell lines, miR-193 and 5-FU induce apoptosis, with the 5-FU being more pronounced when combined with mir-193, according to flow cytometry results. A strong correlation was also found between clinicopathological traits associated with MMP16 and miR-193a-5p. CONCLUSIONS: These findings suggest that miR-193a-5p, in conjunction with 5-FU, down-regulates MMP16 in GC, where it suppresses tumor growth.

Detecting STR profiles from degrading menstrual blood samples and their use as possible evidence in forensic investigations.

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.