Unveiling the therapeutic potential of plant steroid peimine: A study on apoptotic induction in MRMT-1 cell line-induced breast cancer in rats.

BACKGROUND: Breast cancer stands as a leading contributor to global cancer-related mortality. Progressing Research and Medical Innovations Elevate Treatment Choices and Results for Breast Cancer. Among these, Peimine, a natural steroid inherent in plants, notably within the Fritillaria species, demonstrates the capability to trigger apoptosis in breast cancer cells through the mitochondrial membrane permeation pathway. Nevertheless, its impact within an appropriate cancer model remains an area necessitating further exploration. AIM: This study explored the in vivo anticancer effects of peimine on MRMT-1 Cell-line induced breast cancer in rats. METHOD: Cancer was induced by the administration of MRMT-1 (6 x 106 cells) cells in the mammary pads of SD rats. The daily drug treatmentcommenced on day 14 and continued till 39 days. Peimine was administered in two doses (0.24 mg/kg and 0.48 mg/kg p.o) to examine its efficacy in curing breast cancer while tamoxifen was used as standard. RESULTS: A reduction in tumour size was observed in the peimine-treated groups. Peimine can correct the changed blood cell count in addition to its anti-tumour activity. In peimine-treated rats, imbalanced immune marker IgE, serum oxidative marker, and tissue apoptotic markers like cytochrome c and calcium level were shown to be restored significantly. CONCLUSION: Our findings imply that quinine has beneficial effects as an anti-neoplastic medication for breast cancer, most likely through its apoptotic activity. More research is necessary to thoroughly understand their mechanisms of action, ideal dose, and potential side effects.

Exploring the effects of vasoactive constituents in large cardamom: implications for the anti-hypertensive effect via eNOS coupling pathway - an in-vitro study in rat endothelial cells.

Endothelial dysfunction, linked to reduced eNOS expression and nitric oxide (NO) availability, contributes to cardiovascular diseases (CVDs). Large cardamom exhibits antihypertensive effects by augmenting NO levels and antioxidant activity. To decipher its mechanisms, selected constituents were docked with eNOS-associated target genes such as GTP cyclohydrolase I (GTPCH-1) and (dihydrofolate reductase [DHFR]). Endothelial damage induced by L-NAME and fructose was countered by assessing nitric oxide metabolites (NOx), tetrahydrobipterin (BH4 levels), GCH-I expression and super oxide dismutase (SOD) activity after constituent incubation. Cyanidin-3-O-glucoside and petunidin-3-O-glucoside notably restored impaired vascular markers in both models. These phytoconstituents are likely to activate GCH-BH4-eNOS pathways, upregulating SOD and NO expression, maintaining endothelial integrity. Large cardamom's antihypertensive effects may stem from these components, synergistically enhancing endothelial NO release via the eNOS pathway.

Whole genome single nucleotide polymorphism based phylogeny of Francisella tularensis and its application to the development of a strain typing assay.

BACKGROUND: A low genetic diversity in Francisella tularensis has been documented. Current DNA based genotyping methods for typing F. tularensis offer a limited and varying degree of subspecies, clade and strain level discrimination power. Whole genome sequencing is the most accurate and reliable method to identify, type and determine phylogenetic relationships among strains of a species. However, lower cost typing schemes are necessary in order to enable typing of hundreds or even thousands of isolates. RESULTS: We have generated a high-resolution phylogenetic tree from 40 Francisella isolates, including 13 F. tularensis subspecies holarctica (type B) strains, 26 F. tularensis subsp. tularensis (type A) strains and a single F. novicida strain. The tree was generated from global multi-strain single nucleotide polymorphism (SNP) data collected using a set of six Affymetrix GeneChip resequencing arrays with the non-repetitive portion of LVS (type B) as the reference sequence complemented with unique sequences of SCHU S4 (type A). Global SNP based phylogenetic clustering was able to resolve all non-related strains. The phylogenetic tree was used to guide the selection of informative SNPs specific to major nodes in the tree for development of a genotyping assay for identification of F. tularensis subspecies and clades. We designed and validated an assay that uses these SNPs to accurately genotype 39 additional F. tularensis strains as type A (A1, A2, A1a or A1b) or type B (B1 or B2). CONCLUSION: Whole-genome SNP based clustering was shown to accurately identify SNPs for differentiation of F. tularensis subspecies and clades, emphasizing the potential power and utility of this methodology for selecting SNPs for typing of F. tularensis to the strain level. Additionally, whole genome sequence based SNP information gained from a representative population of strains may be used to perform evolutionary or phylogenetic comparisons of strains, or selection of unique strains for whole-genome sequencing projects.

Assessing the utility of whole-genome amplified serum DNA for array-based high throughput genotyping.

BACKGROUND: Whole genome amplification (WGA) offers new possibilities for genome-wide association studies where limited DNA samples have been collected. This study provides a realistic and high-precision assessment of WGA DNA genotyping performance from 20-year old archived serum samples using the Affymetrix Genome-Wide Human SNP Array 6.0 (SNP6.0) platform. RESULTS: Whole-genome amplified (WGA) DNA samples from 45 archived serum replicates and 5 fresh sera paired with non-amplified genomic DNA were genotyped in duplicate. All genotyped samples passed the imposed QC thresholds for quantity and quality. In general, WGA serum DNA samples produced low call rates (45.00 +/- 2.69%), although reproducibility for successfully called markers was favorable (concordance = 95.61 +/- 4.39%). Heterozygote dropouts explained the majority (>85% in technical replicates, 50% in paired genomic/serum samples) of discordant results. Genotyping performance on WGA serum DNA samples was improved by implementation of Corrected Robust Linear Model with Maximum Likelihood Classification (CRLMM) algorithm but at the loss of many samples which failed to pass its quality threshold. Poor genotype clustering was evident in the samples that failed the CRLMM confidence threshold. CONCLUSIONS: We conclude that while it is possible to extract genomic DNA and subsequently perform whole-genome amplification from archived serum samples, WGA serum DNA did not perform well and appeared unsuitable for high-resolution genotyping on these arrays.