Identification of a potent herbal molecule for the treatment of breast cancer

<p>Abstract</p> <p>Background</p> <p>Breast cancer (BCa)-related mortality still remains the second leading cause of cancer-related deaths worldwide. Patients with BCa have increasingly shown resistance and high toxicity to current chemotherapeutic drugs for which identification of novel targeted therapies are required.</p> <p>Methods</p> <p>To determine the effect of PDBD on BCa cells, estrogen-receptor positive (ER⁺)-MCF-7 and estrogen-receptor negative (ER^-)-MDA 231 cells were treated with PDBD and the cell viability, apoptotic, cell cycle, Western blot and Promoter assays were performed.</p> <p>Results</p> <p>PDBD inhibits cell viability of ER⁺and ER^-BCa cells by inducing apoptosis without causing significant toxicity in normal breast epithelial cells. While dissecting the mechanism of action of PDBD on BCa, we found that PDBD inhibits Akt signaling and its downstream targets such as NF-κB activation, IAP proteins and Bcl-2 expression. On the other hand, activation of JNK/p38 MAPK-mediated pro-apoptotic signaling was observed in both ER⁺and ER^-BCa cells.</p> <p>Conclusion</p> <p>These findings suggest that PDBD may have wide therapeutic application in the treatment of BCa.</p

A New Technique for Computationally Efficient Human Recognition

In this paper, a computationally efficient human recognition technique has been proposed using Unique Mapped Real Transform (UMRT) from ear biometric modality. This technique is time saving as well as robust against illumination changes and rotations. First, the input ear image is preprocessed to improve its overall visual appearance. The desired ear region is segmented out from the preprocessed image using constrained Delaunay triangulation segmentation technique. A computationally efficient and robust UMRT is then used to extract feature vectors which uniquely represent ear images of different persons. The performance of proposed feature vector extraction is studied by testing the feature vectors using the KNN classifier and Euclidean distance classifier. The proposed ear recognition technique is also compared with Uniform Local Binary Pattern (ULBP) based technique. Testing is carried out using IIT Delhi and internal GEAR ear database images and the results are encouraging

A HYBRID CHC GENETIC ALGORITHM FOR MACRO CELL ABSTRACT GLOBAL ROUTING

Global routing for VLSI circuits has received wide attraction. In this paper we have presented a Hybrid CHC (HCHC) genetic algorithm for global routing. The hybridization is required for initializing population with feasible solutions. The CHC algorithm is used for evolution. The algorithm was tested for standard test problems and compared with a simple GA. The CHC identified trees very nearer to the optimum and performed better than the simple GA. 1

Anticonvulsant activity of semicarbazone derivatives of Mannich bases

2657-2661A series of semicarbazones of semicarbazide/p-chlorophenyl semicarbazide and Mannich bases of acetophenone/p-chloroacetophenone has been synthesized and their anticonvulsant activity screened against MES and scPTZ test. p-Chlorophenyl semicarbazone of N,N-dimethylaminopropiophenone has been found to be the most active in all these tests

Telemedicine strategy of the European Reference Network ITHACA for the diagnosis and management of patients with rare developmental disorders

Background: The European Reference Networks, ERNs, are virtual networks for healthcare providers across Europe to collaborate and share expertise on complex or rare diseases and conditions. As part of the ERNs, the Clinical Patient Management System, CPMS, a secure digital platform, was developed to allow and facilitate web-based, clinical consultations between submitting clinicians and relevant international experts. The European Reference Network on Intellectual Disability, TeleHealth and Congenital Anomalies, ERN ITHACA, was formed to harness the clinical and diagnostic expertise in the sector of rare, multiple anomaly and/or intellectual disability syndromes, chromosome disorders and undiagnosed syndromic disorders. We present the first year results of CPMS use by ERN ITHACA as an example of a telemedicine strategy for the diagnosis and management of patients with rare developmental disorders. Results: ERN ITHACA ranked third in telemedicine activity amongst 24 European networks after 12 months of using the CPMS. Information about 28 very rare cases from 13 different centres across 7 countries was shared on the platform, with diagnostic or other management queries. Early interaction with patient support groups identified data protection as of primary importance in adopting digital platforms for patient diagnosis and care. The first launch of the CPMS was built to accommodate the needs of all ERNs. The ERN ITHACA telemedicine process highlighted a need to customise the CPMS with network-specific requirements. The results of this effort should enhance the CPMS utility for telemedicine services and ERN-specific care outcomes. Conclusions: We present the results of a long and fruitful process of interaction between the ERN ITHACA network lead team and EU officials, software developers and members of 38 EU clinical genetics centres to organise and coordinate direct e-healthcare through a secure, digital platform. The variability of the queries in just the first 28 cases submitted to the ERN ITHACA CPMS is a fair representation of the complexity and rarity of the patients referred, but also proof of the sophisticated and variable service that could be provided through a structured telemedicine approach for patients and families with rare developmental disorders. Web-based approaches are likely to result in increased accessibility to clinical genomic services