Synthesis and antidiabetic evaluation of some novel compounds

849-854Aryloxypropanolmines have been reported to have β3-agonist activity. Agonists of β3-adrenergic receptors have been observed to simultaneously increase lipolysis, fat oxidation, energy expenditure and insulin action leading to the belief that this receptor might serve as an attractive target for the treatment of diabetes and obesity. Various aryloxypropanolamine derivatives have been synthesized starting with the substituted imines derived from 4-hydroxy benzaldehyde and substituted anilines. These imines have been converted to benzamide intermediates. The benzamide epoxide intermediates have been synthesized using epichlorhydrin. The title compounds 6a-j have been synthesized via ring opening of the epoxides. The synthesized compounds have been characterized using infrared (IR), nuclear magnetic resonance (NMR) and mass spectrometry. The synthesized compounds have been evaluated for antidiabetic activity on streptozotocin induced diabetic male Wistar rats. The synthesized aryloxypropanolamine derivative consisting of –OCH3 and t-butyl amine substituents show good activity as compared to the other synthesized compounds in the series. Glibenclamide has been taken as standard for measuring the antidiabetic activity

Thrust Area in Data Science-Big Data and Data Analytics

Abstract: The dawn of big data has arisen. Big data may be defined as a term which indicates large sets of data. The challenges that occur due to the big data are its storage, management, capture, curation, sharing, analysis, security, handling, etc. The old or traditional methodologies are not much capable for the above purpose. Hence, it is necessary to know about the upcoming methods regarding the big data and the paper introduces the brief information about it

Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study

Ki67 has potential clinical importance in breast cancer but has yet to see broad acceptance due to inter-laboratory variability. Here we tested an open source and calibrated automated digital image analysis (DIA) platform to: (i) investigate the comparability of Ki67 measurement across corresponding core biopsy and resection specimen cases, and (ii) assess section to section differences in Ki67 scoring. Two sets of 60 previously stained slides containing 30 core-cut biopsy and 30 corresponding resection specimens from 30 estrogen receptor-positive breast cancer patients were sent to 17 participating labs for automated assessment of average Ki67 expression. The blocks were centrally cut and immunohistochemically (IHC) stained for Ki67 (MIB-1 antibody). The QuPath platform was used to evaluate tumoral Ki67 expression. Calibration of the DIA method was performed as in published studies. A guideline for building an automated Ki67 scoring algorithm was sent to participating labs. Very high correlation and no systematic error ( p  = 0.08) was found between consecutive Ki67 IHC sections. Ki67 scores were higher for core biopsy slides compared to paired whole sections from resections ( p  ≤ 0.001; median difference: 5.31%). The systematic discrepancy between core biopsy and corresponding whole sections was likely due to pre-analytical factors (tissue handling, fixation). Therefore, Ki67 IHC should be tested on core biopsy samples to best reflect the biological status of the tumor

Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study.

International audienceAbstract Ki67 has potential clinical importance in breast cancer but has yet to see broad acceptance due to inter-laboratory variability. Here we tested an open source and calibrated automated digital image analysis (DIA) platform to: (i) investigate the comparability of Ki67 measurement across corresponding core biopsy and resection specimen cases, and (ii) assess section to section differences in Ki67 scoring. Two sets of 60 previously stained slides containing 30 core-cut biopsy and 30 corresponding resection specimens from 30 estrogen receptor-positive breast cancer patients were sent to 17 participating labs for automated assessment of average Ki67 expression. The blocks were centrally cut and immunohistochemically (IHC) stained for Ki67 (MIB-1 antibody). The QuPath platform was used to evaluate tumoral Ki67 expression. Calibration of the DIA method was performed as in published studies. A guideline for building an automated Ki67 scoring algorithm was sent to participating labs. Very high correlation and no systematic error ( p = 0.08) was found between consecutive Ki67 IHC sections. Ki67 scores were higher for core biopsy slides compared to paired whole sections from resections ( p ≤ 0.001; median difference: 5.31%). The systematic discrepancy between core biopsy and corresponding whole sections was likely due to pre-analytical factors (tissue handling, fixation). Therefore, Ki67 IHC should be tested on core biopsy samples to best reflect the biological status of the tumor