Ashish Gupta

Dr. Ashish Gupta


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2013 in Journal of Ethnopharmacology
Verified
Journal Article
Closed access
AGAshish Gupta
Ashish Gupta
AMAbbas Ali Mahdi
Abbas Ali Mahdi
KSKamla Kant Shukla
Kamla Kant Shukla
MAMohammad Kaleem Ahmad
Mohammad Kaleem Ahmad
NBNavneeta Bansal
Navneeta Bansal
SSSatya Narain Sankhwar
Satya Narain Sankhwar

29 January 2015 in Journal of Proteome Research
Verified
Journal Article
Closed access
DKDeepak Kumar
Deepak Kumar
AGAshish Gupta
Ashish Gupta
AMAnil Mandhani
Anil Mandhani
SSSatya Narain Sankhwar
Satya Narain Sankhwar

18 November 2013 in Journal of Proteome Research
Verified
Journal Article
Closed access
NBNavneeta Bansal
Navneeta Bansal
AGAshish Gupta
Ashish Gupta
Nilay MitashNilay Mitash
Nilay Mitash
PSPrashant Singh Shakya
Prashant Singh Shakya
AMAnil Mandhani
Anil Mandhani
SMSudhir Kumar Mandal
Sudhir Kumar Mandal

16 May 2016 in The Prostate
Verified
Journal Article
Closed access
PDF file
DKDeepak Kumar
Deepak Kumar
AGAshish Gupta
Ashish Gupta
AMAnil Mandhani
Anil Mandhani
SSSatya Narain Sankhwar
Satya Narain Sankhwar

19 May 2017 in Scientific Reports
Verified
Journal Article
Open access
PDF file
KAKeerti Ameta
Keerti Ameta
AGAshish Gupta
Ashish Gupta
SKSudeep Kumar
Sudeep Kumar
RSRishi Sethi
Rishi Sethi
DKDeepak Kumar
Deepak Kumar
AMAbbas Ali Mahdi
Abbas Ali Mahdi
Despite the easy and reliable methods of blood pressure measurement, the screening of essential hypertension (EH) is usually ignored due to delayed onset of symptoms. A probe into the biochemical changes in hypertension would serve as a welcome asset to provide insight into the mechanistic aspects of EH. Filtered serum samples from 64 EH patients and 59 healthy controls (HC) were analysed using 800 MHz nuclear magnetic resonance (NMR) spectroscopy. Application of principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) following receiver operating characteristic (ROC) curve of NMR data reveals significantly perturbed metabolites: alanine, arginine, methionine, pyruvate, adenine, and uracil. This set of metabolites correctly classified 99% of cases from HC and also showed excellent correlation in both isolated elevated diastolic blood pressure (DBP) cases and combined elevated systolic-diastolic blood pressure cases. Proton NMR metabolomics of EH may prove helpful in defining associated biomarkers and serve as an alternate diagnostic tool with judicious clinical assessment.

19 June 2011 in Urological Research
Verified
Journal Article
Closed access
PDF file
AGAshish Gupta
Ashish Gupta
MDMayank Dwivedi
Mayank Dwivedi
AMAbbas Ali Mahdi
Abbas Ali Mahdi
GGG. A. Nagana Gowda
G. A. Nagana Gowda
CKChunni Lal Khetrapal
Chunni Lal Khetrapal
MBMahendra Bhandari
Mahendra Bhandari