@article { ISI:000337763200018, title = {Matrix-assisted laser desorption/ionization mass spectrometry analysis of dimethyl arginine isomers from urine}, journal = {Analytical Methods}, volume = {6}, number = {13}, year = {2014}, month = {APR}, pages = {4602-4609}, publisher = {ROYAL SOC CHEMISTRY}, address = {THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND}, abstract = {

Isomeric asymmetric and symmetric dimethyl arginine (ADMA and SDMA respectively) residues are excreted in urine and are putative markers of cardiovascular and chronic kidney diseases. In this work, we demonstrate simultaneous and quantitative detection of endogeneous ADMA and SDMA from urine samples of healthy subjects using MALDI-TOF MS without any chromatographic separation. The DMA isomers yielded [M + H](+) ions along with their product ions formed due to MALDI in-source fragmentation. The precursor ions were validated using MALDI-TOF MS/MS as well as direct injection ESI-Q-TOF MS/MS. ADMA and SDMA generated unique product ions at similar to m/z 46 and similar to m/z 172 respectively in the MS-mode itself. These were advantageously used for full scan-mode absolute quantification of the isomeric metabolites. The m/z observed for all the ions was within 10 ppm mass accuracy. The calibration method was established by generating internal standard normalized peak area-based concentration response curves using synthetic standards. Good linearities (R-2 \> 0.95) with acceptable intra-assay, inter-assay variation (within 15\% RSD) and excellent recoveries were observed for quality control samples. Finally, endogeneous concentrations of the metabolites were determined in urine from healthy subjects (n = 11). ADMA and SDMA were found to be in the range of 1.6-8 mu M and 2.9-9.1 mu M in urine and were in agreement with previously reported physiological levels.

}, issn = {1759-9660}, doi = {10.1039/c4ay00309h}, author = {Bhattacharya, Nivedita and Singh, Ajeet and Ghanate, Avinash and Phadke, Gayatri and Parmar, Dharmesh and Dhaware, Deepika G. and Basak, Trayambak and Sengupta, Shantanu and Panchagnula, Venkateswarlu} } @article { ISI:000362499200027, title = {Engineering proteins for thermostability with iRDP web server}, journal = {Plos One}, volume = {10}, number = {10}, year = {2015}, month = {OCT}, pages = {e0139486}, publisher = {PUBLIC LIBRARY SCIENCE}, address = {1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA}, abstract = {

Engineering protein molecules with desired structure and biological functions has been an elusive goal. Development of industrially viable proteins with improved properties such as stability, catalytic activity and altered specificity by modifying the structure of an existing protein has widely been targeted through rational protein engineering. Although a range of factors contributing to thermal stability have been identified and widely researched, the in silico implementation of these as strategies directed towards enhancement of protein stability has not yet been explored extensively. A wide range of structural analysis tools is currently available for in silico protein engineering. However these tools concentrate on only a limited number of factors or individual protein structures, resulting in cumbersome and time-consuming analysis. The iRDP web server presented here provides a unified platform comprising of iCAPS, iStability and iMutants modules. Each module addresses different facets of effective rational engineering of proteins aiming towards enhanced stability. While iCAPS aids in selection of target protein based on factors contributing to structural stability, iStability uniquely offers in silico implementation of known thermostabilization strategies in proteins for identification and stability prediction of potential stabilizing mutation sites. iMutants aims to assess mutants based on changes in local interaction network and degree of residue conservation at the mutation sites. Each module was validated using an extensively diverse dataset. The server is freely accessible at http://irdp.ncl.res.in and has no login requirements.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0139486}, author = {Panigrahi, Priyabrata and Sule, Manas and Ghanate, Avinash and Ramasamy, Sureshkumar and Suresh, C. G.} } @article {46955, title = {Plausible diagnostic value of urinary isomeric dimethylarginine ratio for diabetic nephropathy}, journal = {Scientific Reports}, volume = {10}, year = {2020}, month = {FEB}, pages = {2970}, type = {Article}, abstract = {

Altered circulatory asymmetric and symmetric dimethylarginines have been independently reported in patients with end-stage renal failure suggesting their potential role as mediators and early biomarkers of nephropathy. These alterations can also be reflected in urine. Herein, we aimed to evaluate urinary asymmetric to symmetric dimethylarginine ratio (ASR) for early prediction of diabetic nephropathy (DN). In this cross-sectional study, individuals with impaired glucose tolerance (IGT), newly diagnosed diabetes (NDD), diabetic microalbuminuria (MIC), macroalbuminuria (MAC), and normal glucose tolerance (NGT) were recruited from Dr. Mohans{\textquoteright} Diabetes Specialties centre, India. Urinary ASR was measured using a validated high-throughput MALDI-MS/MS method. Significantly lower ASR was observed in MIC (0.909) and MAC (0.741) in comparison to the NGT and NDD groups. On regression models, ASR was associated with MIC [OR: 0.256; 95\% CI: 0.158-0.491] and MAC [OR 0.146; 95\% CI: 0.071-0.292] controlled for all the available confounding factors. ROC analysis revealed ASR cut-point of 0.95 had C-statistic of 0.691 (95\% CI: 0.627-0.755) to discriminate MIC from NDD with 72\% sensitivity. Whereas, an ASR cut-point of 0.82 had C-statistic of 0.846 (95\% CI: 0.800 - 0.893) had 91\% sensitivity for identifying MAC. Our results suggest ASR as a potential early diagnostic biomarker for DN among the Asian Indians.

}, issn = {2045-2322}, doi = {10.1038/s41598-020-59897-1}, author = {Parmar, Dharmeshkumar and Bhattacharya, Nivedita and Kannan, Shanthini and Vadivel, Sangeetha and Pandey, Gautam Kumar and Ghanate, Avinash and Ragi, Nagarjuna Chary and Prabu, Paramasivam and Pramodkumar, Thyparambil Aravindakshan and Manickam, Nagaraj and Mohan, Viswanathan and Sripadi, Prabhakar and Kuppan, Gokulakrishnan and Panchagnula, Venkateswarlu} }