@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 {43934, title = {Scalable metabolite supplementation strategy against antibiotic resistant pathogen Chromobacterium violaceum induced by NAD(+)/NADH(+) imbalanceA scalable metabolite supplementation strategy against antibiotic resistant pathogen Chromobacterium violaceu}, journal = {BMC Syst Biol. }, volume = {11}, year = {2017}, month = {APR}, abstract = {

BACKGROUND: The leading edge of the global problem of antibiotic resistance necessitates novel therapeutic strategies. This study develops a novel systems biology driven approach for killing antibiotic resistant pathogens using benign metabolites. RESULTS: Controlled laboratory evolutions established chloramphenicol and streptomycin resistant pathogens of Chromobacterium. These resistant pathogens showed higher growth rates and required higher lethal doses of antibiotic. Growth and viability testing identified malate, maleate, succinate, pyruvate and oxoadipate as resensitising agents for antibiotic therapy. Resistant genes were catalogued through whole genome sequencing. Intracellular metabolomic profiling identified violacein as a potential biomarker for resistance. The temporal variance of metabolites captured the linearized dynamics around the steady state and correlated to growth rate. A constraints-based flux balance model of the core metabolism was used to predict the metabolic basis of antibiotic susceptibility and resistance. CONCLUSIONS: The model predicts electron imbalance and skewed NAD/NADH ratios as a result of antibiotics - chloramphenicol and streptomycin. The resistant pathogen rewired its metabolic networks to compensate for disruption of redox homeostasis. We foresee the utility of such scalable workflows in identifying metabolites for clinical isolates as inevitable solutions to mitigate antibiotic resistance.

}, keywords = {Antibiotic resistance; Flux balance analysis; Flux variability analysis; Metabolism; Metabolomic; NAD; NADH; Redox homeostasis}, doi = {10.1186/s12918-017-0427-z}, author = {Banerjee, Deepanwita and Parmar, Dharmeshkumar and Bhattacharya, Nivedita and Ghanate, Avinash D. and Panchagnula, Venkateswarlu and Raghunathan, Anu} } @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} }