Aman Chandra Kaushik

Aman Chandra Kaushik


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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30 April 2020 in Frontiers in Neuroscience
Verified
Journal Article
Open access
PDF file
AKAjay Kumar
Ajay Kumar
RCRavi Kumar Chaudhary
Ravi Kumar Chaudhary
RSRachita Singh
Rachita Singh
SSSatya P. Singh
Satya P. Singh
SWShao-Yu Wang
Shao-Yu Wang
XDXiaofeng Dai
Xiaofeng Dai
Nanotechnology utilizes engineered materials and devices which function with biological systems at the molecular level and could transform the management of neurodegenerative diseases (NDs) by provoking, reacting to, and intermingling with target sites to stimulate physiological responses while minimizing side effects. Blood–brain barrier (BBB) protects the brain from harmful agents, and transporting drugs across the BBB is a major challenge for diagnosis, targeting, and treatment of NDs. The BBB provides severe limitations for diagnosis and treatment of Alzheimer’s disease (AD), Parkinson’s disease (PD), and various other neurological diseases. Conventional drug delivery systems generally fail to cross the BBB, thus are inefficient in treatment. Although gradual development through research is ensuring the progress of nanotheranostic approaches from animal to human modeling, aspects of translational applicability and safety are a key concern. This demands a deep understanding of the interaction of body systems with nanomaterials. There are various plant-based nanobioactive compounds which are reported to have applicability in the diagnosis and treatment of these NDs. This review article provides an overview of applications of nanotheranostics in AD and PD. The review also discusses nano-enabled drug delivery systems and their current and potential applications for the treatment of various NDs.

29 January 2021 in Journal of Chemical Information and Modeling
Verified
Journal Article
Closed access
AMAamir Mehmood
Aamir Mehmood
AKAman Chandra Kaushik
Aman Chandra Kaushik
QWQiankun Wang
Qiankun Wang
CLCheng-Dong Li
Cheng-Dong Li
DWDong-Qing Wei
Dong-Qing Wei

24 February 2023 in ACS Pharmacology & Translational Science
Verified
Journal Article
Closed access
AMAamir Mehmood
Aamir Mehmood
SNSadia Nawab
Sadia Nawab
YJYifan Jin
Yifan Jin
HHHesham Hassan
Hesham Hassan
AKAman Chandra Kaushik
Aman Chandra Kaushik
DWDong-Qing Wei
Dong-Qing Wei

10 December 2019 in Frontiers in Bioengineering and Biotechnology
Verified
Journal Article
Open access
PDF file
AMAamir Mehmood
Aamir Mehmood
Muhammad Tahir KhanMuhammad Tahir Khan
Muhammad Tahir Khan
AKAman Chandra Kaushik
Aman Chandra Kaushik
AKAnwar Sheed Khan
Anwar Sheed Khan
MIMuhammad Irfan
Muhammad Irfan
DWDong-Qing Wei
Dong-Qing Wei
Pyrazinamide (PZA) is one of the main FDA approved drugs to be used as the first line of defense against Mycobacterium Tuberculosis (MTB). It is activated into pyrazinoic acid (POA) via MTB's pncA gene-encoded pyrazinamidase (PZase). Mutations are most commonly responsible for PZA-resistance in nearly 70% of the resistant samples. In the present work, MTB positive samples were chosen for PZA drug susceptibility testing (DST) against critical concentration (100 ug/ml) of PZA. The resistant samples were subjected to pncA sequencing. As a result, 36 various mutations have been observed in the PZA resistant samples, uploaded to the NCBI (GeneBank accession no. MH461111). Here we report the mechanism of PZA resistance behind the three mutants (MTs), Asp12Ala, Pro54Leu, and His57Pro in comparison with the wild type (WT) through molecular dynamics simulation to unveil how these mutations affect the overall conformational stability. The post-simulation analyses revealed notable deviations as compared to the WT structure. Molecular docking studies of PZA with MTs and WT, pocket volume inspection and overall shape complementarity analysis confirmed the deleterious nature of these mutations and gave an insight into the mechanism behind PZA-resistance. These analyses provide vital information regarding MTB drug resistance and could be extremely useful in therapy management and overcoming its global burden.

26 March 2023 in Interdisciplinary Sciences: Computational Life Sciences
Verified
Journal Article
Closed access
PDF file
MMMukesh Mann
Mukesh Mann
RBRakesh Prasad Badoni
Rakesh Prasad Badoni
HSHarsh Soni
Harsh Soni
MAMohammed Al-Shehri
Mohammed Al-Shehri
AKAman Chandra Kaushik
Aman Chandra Kaushik
DWDong-Qing Wei
Dong-Qing Wei

10 July 2020 in ACS Omega
Verified
Journal Article
Closed access
CPCheng-Tang Pan
Cheng-Tang Pan
SWShao-Yu Wang
Shao-Yu Wang
CYChung-Kun Yen
Chung-Kun Yen
AKAjay Kumar
Ajay Kumar
Shiao-Wei KuoShiao-Wei Kuo
Shiao-Wei Kuo
WCWei-Hsi Chang
Wei-Hsi Chang