A study on the efficacy and adverse effects of methotrexate in psoriasis patients in a tertiary care centre

Background: Psoriasis is a common, chronic and recurrent inflammatory disease of the skin. Methotrexate has been used in patient with psoriasis, a folic acid antagonist interfering with purine pathway and the mechanism of action in psoriasis is immune modulation and anti-inflammation. So, this study aims at monitoring the efficacy and adverse effects of methotrexate in south Indian patients with psoriasis attending a tertiary care hospital.Methods: It is a prospective, observational study conducted for a period of one year in subjects of either sex having psoriasis. Methotrexate was initiated in a single weekly oral dose of 5mg to 25mg. The efficacy was evaluated using psoriasis Area and Severity Index (PASI) score in all patients before starting methotrexate therapy and the end of first month, third month and sixth month of therapy. Adverse reaction was monitored.Results: All 40 psoriasis patients after treatment with methotrexate therapy showed improved  skin lesions by falling PASI scoring at the end of first, third and sixth month of treatment. None of the patients in our study had pulmonary toxicity, life threatening adverse effects which required hospitalization.Conclusions: Use of methotrexate in the treatment of psoriasis in this study was found to be safe and highly efficacious and caused minimal adverse effects and it was well tolerated

Molecular phylogeny of silkmoths reveals the origin of domesticated silkmoth, Bombyx mori from chinese Bombyx mandarina and paternal inheritance of Antheraea proylei mitochondrial DNA

Molecular phylogeny of some of the economically important silkmoths was derived using three mitochondrial genes, 12S rRNA, 16S rRNA, and COI, and the control region (CR). Maximum likelihood (ML) analyses showed two distinct clades, one consisting of moths from Bombycidae family and the other from Saturniidae family. The mitochondrial CR showed length polymorphisms with indels. The ML analyses for complete mitochondrial genome sequences of Bombyx mori (strains Aojuku, C108, Backokjam, and Xiafang), Japanese and Chinese strains of B. mandarina (Japanese mandarina and Chinese mandarina) and, Antheraea pernyi revealed two distinct clades, one comprising of B. mori strains and the other with B. mandarina, and A. pernyi forming an outgroup. Pairwise distances revealed that all of the strains of B. mori studied are closer to Chinese than to Japanese mandarina. Phylogenetic analyses based on whole mitochondrial genome sequences, the finding of a tandem triplication of a 126 bp repeat element only in Japanese mandarina, and chromosome number variation in B. mandarina suggest that B. mori must have shared its recent common ancestor with Chinese mandarina. Another wild species of the Bombycidae family, Theophila religiosa, whose phylogenetic status was not clear, clustered together with the other bombycid moths in the study. Analysis of the interspecific hybrid, A. proylei gave evidence for paternal inheritance of mitochondrial DNA

Microsatellite markers for the Indian golden silkmoth, Antheraea assama (Saturniidae: Lepidoptera)

Antheraea assama, an economically important and scientifically unexplored Indian wild silkmoth, is unique among saturniid moths. For this species, a total of 87 microsatellite markers was derived from 35 000 expressed sequence tags and a microsatellite-enriched sub-genomic library. Forty individuals collected from Tura and West Garo Hills region of Northeast India were screened for each of these loci. Ten loci from expressed sequence tags and one from genomic library were found to be polymorphic. These microsatellite markers will be useful resources for population genetic studies of A. assama and other closely related species of saturniids. This is the first report on development of microsatellite markers for any saturniid species

Serial Serum Sodium Levels in Decompensated Liver Disease Patients during the Phase of Hepatic Encephalopathy

BACKGROUND: Low serum sodium values have been found in patients with Hepatic Encephalopathy. Serum sodium values have been observed to be Lower with higher Grade s of Hepatic encephalopathy. Patients With Chronic liver disease prior to the development of the Complication have stable serum sodium values. METHODS: A cohort study was done with cases of patients in Hepatic Encephalopathy and controls as patients with Chronic liver disease Serum sodium values from both groups were collected and analysed. RESULTS: Observations revealed that as the mean sodium Values showed a rising Trend there was also an increase in the number of patients with better Grades of Hepatic encephalopathy. While there was a rising trend with Serum sodium levels in patients with encephalopathy, the control group Had stable serum sodium values ,with a significant p value ( p <.005) CONCLUSION: Serum sodium values are found to be lower in patients with higher Grades of Hepatic encephalopathy and are observed to have an Increasing trend when patients recover

Chemical and electrochemical synthesis and deposition of chalcogenides from room temperature ionic liquids

Room temperature electrochemical methods to deposit thin films of chalcogenide glasses.Board of Regents, University of Texas Syste

AI Enabled Next-Generation Traffic Control System

Traffic is one of the superior problems in modern metropolis. Fresh and advanced technology related infusions are required to supervise themselves and direct traffic signals in order to decrease the snarl-upping of traffic. Major problem is when it comes to a predicament or an emergency circumstance which affects the servicing facilities like ambulances, fire trucks, police vans etc. In this paper, we capture data from the surveillance camera and using it we will train the machine using Machine Learning and Deep Learning. So, the process goes where we use a collective number of images which can be enormous in numbers which can be used to train the model. Subsequently, the vehicles are identified, and are categorized into various classes and this classification is done by itself, as it is edified to precision. We procured 88% accuracy using YOLOv5 for vehicle recognition. Further it contributes to the future, so that road design and scrutiny can be developed and secondly the fuel usage can be controlled, and the standby time is also saved effectively. Within some period, we will be able to harmonize most of the signals, by imparting a flexible traffic management system, thus resulting in declination of traffic congestion