A COMPREHENSIVE AYURVEDIC REVIEW ON LAVANGA (SYZYGIUM AROMATICUM)

Ayurveda means science of life. Ayurveda was from time immemorial and still it has its own importance in field of medical science. Ayurveda is divided into eight branches. Out of all these branches Dravyguna vijnana is one of them. It includes information about herbs which is described in ancient classical text of Ayurveda. In Ayurveda there is a saying if a Vaidhya has no proper knowledge regarding these herbs he is unable to provide proper treatment to patients. These herbs are backbone of Ayurveda. Among all herbs, Lavanga is a well known Ayurvedic herb. Lavanga are aromatic flower buds of a tree Latin named as Syzygium aromaticum which comes under myrtaceae family. It is known as Lavanga due to its Kapha lysing property. It posses other properties such as Deepana, Pachana, Ruchya, Chakshushya, Kapha-Pittaghana properties. It is used in Trishna, Chhardi, Aadhmana, Shoola, Kasa, Shwasa, Hikka, Kshaya named diseases

Relationship of serum vitamin D with hepatic fibrosis in patients with chronic hepatitis C

Background: Serum vitamin D concentration is proposed to have an important role on outcome in patients with chronic hepatitis C virus (HCV) infection. A few studies have shown an inverse association of vitamin D level with stage of fibrosis. The aim of the present study was to verify whether serum vitamin D level is an independent predictor of significant hepatic fibrosis.Methods: Seventy-two treatment naive chronic HCV subjects and 40 healthy age and sex matched controls were included in the study. A serum vitamin D level was assessed in both HCV subjects and controls, and liver biopsy was performed in all HCV subjects to assess for stage of fibrosis.Results: Serum vitamin D levels were significantly lower HCV patients in comparison to age and sex matched controls (18.04±6.92 versus 21.53±8.2, p<0.01). Most common genotype in HCV patients was genotype 3 (62.5%) and blood transfusion was the most common mode of transmission (28%) followed by intravenous drug user (IVDU) (17%). The HCV patients with vitamin D level <20 ng/ml had higher metavir score as compared to vitamin D≥20 ng/ml (1.67±0.66 versus 2.5±0.67, p<0.001). Both univariate and multivariate analysis performed using logistic regression revealed that vitamin D<20 ng/dl is a significant negative predictor of liver fibrosis (p<0.05).Conclusions: Chronic HCV patients had significantly lower vitamin D levels as compared to healthy controls. Serum vitamin D was a negative predictor of stage of fibrosis in patients with chronic hepatitis C

An Axially Symmetric Transitioning models with Observational Constraints

In this study, we have demonstrated the expansion history of an axially symmetric Bianchi type-I model of the universe. Our model as of now presents an accelerating universe, which had been in the decelerating phase in the past. Roles of the two crucial Hubble~$H(z)$ and deceleration~$q(z)$ parameters are examined. The energy parameters of the universe are estimated with the help of the latest observational Hubble data (46-data points) and Pantheon data (the latest compilation of SNIa with 40 binned in the redshift range $0.014 \leq z \leq 1.62)$. We also discuss the stability analysis of the model by state finder diagnosis. The analysis reveals that in late time, the model is a quintessence type and points towards the $\Lambda$CDM model. Our developed model agrees with observational findings in a proper way. We have discussed some of the physical aspects of the model.Comment: 19 pages, 10 figure

Prevalence and architecture of de novo mutations in developmental disorders.

The genomes of individuals with severe, undiagnosed developmental disorders are enriched in damaging de novo mutations (DNMs) in developmentally important genes. Here we have sequenced the exomes of 4,293 families containing individuals with developmental disorders, and meta-analysed these data with data from another 3,287 individuals with similar disorders. We show that the most important factors influencing the diagnostic yield of DNMs are the sex of the affected individual, the relatedness of their parents, whether close relatives are affected and the parental ages. We identified 94 genes enriched in damaging DNMs, including 14 that previously lacked compelling evidence of involvement in developmental disorders. We have also characterized the phenotypic diversity among these disorders. We estimate that 42% of our cohort carry pathogenic DNMs in coding sequences; approximately half of these DNMs disrupt gene function and the remainder result in altered protein function. We estimate that developmental disorders caused by DNMs have an average prevalence of 1 in 213 to 1 in 448 births, depending on parental age. Given current global demographics, this equates to almost 400,000 children born per year

Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

The contribution of X-linked coding variation to severe developmental disorders

Abstract: Over 130 X-linked genes have been robustly associated with developmental disorders, and X-linked causes have been hypothesised to underlie the higher developmental disorder rates in males. Here, we evaluate the burden of X-linked coding variation in 11,044 developmental disorder patients, and find a similar rate of X-linked causes in males and females (6.0% and 6.9%, respectively), indicating that such variants do not account for the 1.4-fold male bias. We develop an improved strategy to detect X-linked developmental disorders and identify 23 significant genes, all of which were previously known, consistent with our inference that the vast majority of the X-linked burden is in known developmental disorder-associated genes. Importantly, we estimate that, in male probands, only 13% of inherited rare missense variants in known developmental disorder-associated genes are likely to be pathogenic. Our results demonstrate that statistical analysis of large datasets can refine our understanding of modes of inheritance for individual X-linked disorders