Kiran Kumari Patil

Bio: Kiran Kumari Patil is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Wireless sensor network & Quality of service. The author has an hindex of 8, co-authored 60 publications receiving 291 citations. Previous affiliations of Kiran Kumari Patil include Narsee Monjee Institute of Management Studies & Reva Institute of Technology and Management.

Rosmarinic acid attenuates inflammation in experimentally induced arthritis in Wistar rats, using Freund's complete adjuvant.

Abstract: AIM The purpose of our investigation is to evaluate the anti-arthritic potential of isolated rosmarinic acid from the rind of Punica granatum. METHOD Rosmarinic acid was isolated by bioactivity-guided isolation from butanolic fraction of Punica granatum and acute toxicity of rosmarinic acid was carried out. The experiment was conducted at doses of 25 and 50 mg/kg, in Freund's complete adjuvant (FCA)-induced arthritic rats. Various parameters, that is arthritic score, paw volume, thickness of paw, hematological, antioxidant and inflammatory parameters such as glutathione (GSH), superoxide dismutase (SOD), malonaldehyde (MDA) and tumor necrosis factor-α (TNF-α) were also estimated. RESULTS Rosmarinic acid significantly decreased the arthritic score, paw volume, joint diameter, white blood cell count and erythrocyte sedimentation rate. It also significantly increased body weight, hemoglobin and red blood cells. The significantly decreased levels of TNF-α were observed in treated groups as compared to arthritic control rats (P < 0.001). At the same time antioxidant parameters (like GSH and SOD) were increased significantly while levels of MDA were significantly decreased (P < 0.001). CONCLUSION The outcome of the present research concludes that rosmarinic acid showed significant anti-arthritic potential in FCA-induced arthritis in Wistar rats. This study represented the therapeutic role of rosmarinic acid from Punica granatum for the management of arthritis/rheumatoid arthritis/osteoarthritis and related inflammatory complications with negligible side effects which was still far from complete mitigation with available conventional medicines.

Deep Learning Based Weighted SOM to Forecast Weather and Crop Prediction for Agriculture Application

Abstract: One of the most experimentally difficult problem in the world is weather forecasting, which is a basic mechanism in meteorology. Especially in data mining system, there are different information mining strategies are available, for example, K-Means, Artificial Neural Network (ANN) and Support Vector Machine (SVM), etc. These weather predicting strategies are financially high and also very inconsistent for large datasets. To overcome these issues, an effective dimensionality reducing strategy: Self Organizing Map (SOM) is proposed along with Latent Dirichlet Allocation (LDA). The SOM strategy is one of the proper dimensionality reducing strategy to highlight the self-arranging outline. After reducing the measurement, the dimensionality reduced information are used to forecast climate for a reasonable outcome. A reasonable season for an appropriate crop is arranged with the guide of Deep Neural Network (DNN) classification system. This research work depends on finding appropriate information model, which helps in accomplishing high precision and simplification for value forecast. Finally, the experimental outcome shows that the proposed approach improved accuracy in weather and crop prediction up to 7-23% compared to the

A High-Resolution Map of Human Evolutionary Constraint Using 29 Mammals

Abstract: The comparison of related genomes has emerged as a powerful lens for genome interpretation. Here we report the sequencing and comparative analysis of 29 eutherian genomes. We confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering ∼4.2% of the genome. We use evolutionary signatures and comparisons with experimental data sets to suggest candidate functions for ∼60% of constrained bases. These elements reveal a small number of new coding exons, candidate stop codon readthrough events and over 10,000 regions of overlapping synonymous constraint within protein-coding exons. We find 220 candidate RNA structural families, and nearly a million elements overlapping potential promoter, enhancer and insulator regions. We report specific amino acid residues that have undergone positive selection, 280,000 non-coding elements exapted from mobile elements and more than 1,000 primate- and human-accelerated elements. Overlap with disease-associated variants indicates that our findings will be relevant for studies of human biology, health and disease.

Solid Lipid Nanoparticles: Emerging Colloidal Nano Drug Delivery Systems

Abstract: Solid lipid nanoparticles (SLNs) are nanocarriers developed as substitute colloidal drug delivery systems parallel to liposomes, lipid emulsions, polymeric nanoparticles, and so forth. Owing to their unique size dependent properties and ability to incorporate drugs, SLNs present an opportunity to build up new therapeutic prototypes for drug delivery and targeting. SLNs hold great potential for attaining the goal of targeted and controlled drug delivery, which currently draws the interest of researchers worldwide. The present review sheds light on different aspects of SLNs including fabrication and characterization techniques, formulation variables, routes of administration, surface modifications, toxicity, and biomedical applications.

Obesity: Epidemiology, Pathophysiology, and Therapeutics.

Abstract: Obesity is a complex multifactorial disease that accumulated excess body fat leads to negative effects on health. Obesity continues to accelerate resulting in an unprecedented epidemic that shows no significant signs of slowing down any time soon. Raised body mass index (BMI) is a risk factor for noncommunicable diseases such as diabetes, cardiovascular diseases, and musculoskeletal disorders, resulting in dramatic decrease of life quality and expectancy. The main cause of obesity is long-term energy imbalance between consumed calories and expended calories. Here, we explore the biological mechanisms of obesity with the aim of providing actionable treatment strategies to achieve a healthy body weight from nature to nurture. This review summarizes the global trends in obesity with a special focus on the pathogenesis of obesity from genetic factors to epigenetic factors, from social environmental factors to microenvironment factors. Against this background, we discuss several possible intervention strategies to minimize BMI.

A Review of the Anti-Inflammatory Effects of Rosmarinic Acid on Inflammatory Diseases

Abstract: Inflammatory diseases are caused by abnormal immune responses and are characterized by an imbalance of inflammatory mediators and cells. In recent years, the anti-inflammatory activity of natural products has attracted wide attention. Rosmarinic acid (RosA) is a water-soluble phenolic compound that is an ester of caffeic acid and 3, 4-dihydroxyphenyl lactic acid. It is discovered in many plants, like those of the Boraginaceae and Lamiaceae families. RosA has a wide range of pharmacological effects, including anti-oxidative, anti-apoptotic, anti-tumorigenic, and anti-inflammatory effects. The anti-inflammatory effects of RosA have been revealed through in vitro and in vivo studies of various inflammatory diseases like arthritis, colitis, and atopic dermatitis. This article mainly describes the preclinical research of RosA on inflammatory diseases and depicts a small amount of clinical research data. The purpose of this review is to discuss the anti-inflammatory effects of RosA in inflammatory diseases and its underlying mechanism.