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プロフィール詳細
プロジェクトを作成
★★★★★
☆☆☆☆☆
Dr. Piyush K.に依頼
India
プロフィール概要
専門分野
サービス
職務経験

Icahn School of Medicine at Mount Sinai

- 現在

Assistant Professor

Amity University

- 現在

Visiting Faculty

B. N. College, Patna University

10月 2016 - 現在

Senior Research Fellow

ACTREC Tata Memorial Centre

11月 2012 - 3月 2016

Junior Research Fellow

ACTREC Tata Memorial Centre

8月 2010 - 11月 2012

学歴

PhD

Advanced Centre for Treatment Research and Education in Cancer

8月 2010 - 1月 2017

PhD

ACTREC Tata Memorial Centre

8月 2010 - 4月 2016

M.Sc. Genetics

University of Delhi

6月 2008 - 5月 2010

Master in Genetics (Department of Genetics)

University of Delhi

6月 2008 - 5月 2010

認定資格
  • 認定資格の詳細は未入力です。
出版物
JOURNAL ARTICLE
(2020). Advances in various techniques for isolation and purification of sterols . Journal of Food Science and Technology.
Piyush Kumar, Denice Peter Rout, Anushka Nair, Anand Gupta (2019). <p>Epidermolytic hyperkeratosis: clinical update</p> . Clinical, Cosmetic and Investigational Dermatology.
Piyush Kumar(2017). Raman spectroscopy as a promising noninvasive tool in brain cancer detection . Journal of Innovative Optical Health Sciences. 10. (05). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1730012. World Scientific Pub Co Pte Lt
Piyush Kumar, Tanmoy Bhattacharjee, Manishkumar Pandey, Arti Hole, Arvind Ingle, C. Murali Krishna(2016). Raman spectroscopy in experimental oral carcinogenesis: investigation of abnormal changes in control tissues . Journal of Raman Spectroscopy. Wiley-Blackwell
Gurushankar, K., Gohulkumar, M., Kumar, P., Murali Krishna, C., Krishnakumar, N.(2016). Raman spectroscopy detects biomolecular changes associated with nanoencapsulated hesperetin treatment in experimental oral carcinogenesis . Laser Physics Letters. 13. (3).
Evaluation of Raman spectroscopy for prediction of antitumor response to silibinin and its nanoparticulates in DMBA-induced oral carcinogenesis @article{JRS:JRS4831, author= {Gohulkumar, M. and Kumar, Piyush and Murali Krishna, C. and Krishnakumar, N.}, title= {Evaluation of Raman spectroscopy for prediction of antitumor response to silibinin and its nanoparticulates in DMBA-induced oral carcinogenesis}, journal= {Journal of Raman Spectroscopy}, issn= {1097-4555}, url= {http://dx.doi.org/10.1002/jrs.4831}, doi= {10.1002/jrs.4831}, pages= {n/a--n/a}, keywords= {silibinin, nanoparticles, oral carcinogenesis, Raman spectroscopy, PC-LDA}, year= {2016}, abstract= {Raman spectroscopy is a vibrational spectroscopic technique that can be used to monitor the therapeutic efficacy of anticancer drugs during carcinogenesis in a non-invasive and label-free manner. The present study aims to investigate the biochemical changes exerted upon free silibinin (SIL) and its nanoparticulate (SILNPs) treatment against 7,12-dimethylbenz[a]anthracene (DMBA)-induced oral carcinogenesis in the fingerprint region of 1800–500 cm−1 using HE-785 Raman spectrometer. Raman spectra differed significantly between the control and tumor tissues, with tumor tissues characterized by increased intensities of vibrational bands such as nucleic acids, phenylalanine and tryptophan and a lower percentage of lipids when compared to the control tissues. Further, oral administration of free SIL and SILNPs significantly increased lipids and decreased the levels of tryptophan, phenylalanine and nucleic acid contents. Overall, the treatment of nanoparticulate SIL was found to be a more potent antitumor effect than free SIL in preventing the formation of tumor and also brought back the several Raman bands to a normal range in the buccal mucosa of hamsters during DMBA-induced oral carcinogenesis. In addition, the detailed secondary structure of proteins in the control and experimental groups is also presented. Furthermore, the diagnostic algorithms based on principal component linear discriminant analysis (PC-LDA) achieved an overall sensitivity of 94–100% and specificity of 76–100%. These results further demonstrate that Raman spectroscopy associated with PC-LDA diagnostic algorithms could be a valuable tool for rapid and sensitive detection of specific biomolecular changes at the molecular level in response to anticancer drug. Copyright © 2015 John Wiley & Sons, Ltd.}} . Journal of Raman Spectroscopy.
Raman spectroscopy detects biomolecular changes associated with nanoencapsulated hesperetin treatment in experimental oral carcinogenesis @article{1612-202X-13-3-035901, author= {K Gurushankar and M Gohulkumar and Piyush Kumar and C Murali Krishna and N Krishnakumar}, title= {Raman spectroscopy detects biomolecular changes associated with nanoencapsulated hesperetin treatment in experimental oral carcinogenesis}, journal= {Laser Physics Letters}, volume= {13}, number= {3}, pages= {035901}, url= {http://stacks.iop.org/1612-202X/13/i=3/a=035901}, year= {2016}, abstract= {Recently it has been shown that Raman spectroscopy possesses great potential in the investigation of biomolecular changes of tumor tissues with therapeutic drug response in a non-invasive and label-free manner. The present study is designed to investigate the antitumor effect of hespertin-loaded nanoparticles (HETNPs) relative to the efficacy of native hesperetin (HET) in modifying the biomolecular changes during 7,12-dimethyl benz(a)anthracene (DMBA)-induced oral carcinogenesis using a Raman spectroscopic technique. Significant differences in the intensity and shape of the Raman spectra between the control and the experimental tissues at 1800–500 cm −1 were observed. Tumor tissues are characterized by an increase in the relative amount of proteins, nucleic acids, tryptophan and phenylalanine and a decrease in the percentage of lipids when compared to the control tissues. Further, oral administration of HET and its nanoparticulates restored the status of the lipids and significantly decreased the levels of protein and nucleic acid content. Treatment with HETNPs showed a more potent antitumor effect than treatment with native HET, which resulted in an overall reduction in the intensity of several biochemical Raman bands in DMBA-induced oral carcinogenesis being observed. Principal component and linear discriminant analysis (PC–LDA), together with leave-one-out cross validation (LOOCV) on Raman spectra yielded diagnostic sensitivities of 100%, 80%, 91.6% and 65% and specificities of 100%, 65%, 60% and 55% for classification of control versus DMBA, DMBA versus DMBA  +  HET, DMBA versus DMBA  +  HETNPs and DMBA  +  HET versus DMBA  +  HETNPs treated tissue groups, respectively. These results further demonstrate that Raman spectroscopy associated with multivariate statistical algorithms could be a valuable tool for developing a comprehensive understanding of the process of biomolecular changes, and could reveal the signatures of the antitumor response of drugs.}} . Laser Physics Letters.
(2015). Raman spectroscopy detects biomolecular changes associated with nanoencapsulated hesperetin treatment in experimental oral carcinogenesis. Laser Physics Letters.
Bhattacharjee, T., Khan, A., Kumar, P., Ingle, A., Maru, G., Krishna, C.M.(2015). Raman spectroscopy of serum: A study on 'pre' and 'post' breast adenocarcinoma resection in rat models . Journal of Biophotonics. 8. (7). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 575-583.
Kumar, P., Bhattacharjee, T., Ingle, A., Maru, G., Krishna, C. M.(2015). Raman Spectroscopy of Experimental Oral Carcinogenesis: Study on Sequential Cancer Progression in Hamster Buccal Pouch Model . Technol Cancer Res Treat.
Bhattacharjee, Tanmoy and Khan, Aarif and Kumar, Piyush and Ingle, Arvind and Maru, Girish and Krishna, C Murali(2014). Raman spectroscopy of serum: A study on ‘pre’and ‘post’breast adenocarcinoma resection in rat models. Journal of biophotonics. 9999. Wiley Online Library
Piyush Kumar, Krishna Dalal, D. Elanchezhiyan, V. B. Maran, Raunak Kumar Das, S. P. Singh, C. Murali Krishna, Jyotirmoy Chatterjee(2012). Optical, Spectroscopic, and Doppler Evaluation of “Normal” and “Abnormal” Reflexology Areas in Lumbar Vertebral Pathology: A Case Study . Case Reports in Medicine. 2012. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--9. Hindawi Publishing Corporation
BOOK CHAPTER
(2019). Optical Techniques: Investigations in Oral Cancers . Oral Cancer Detection: Novel Strategies and Clinical Impact.
Panta, Prashanth and Lu, Chih-Wei and Kumar, Piyush and Ho, Tuan-Shu and Huang, Sheng-Lung and Kumar, Pawan and Murali Krishna, C. and Divakar Rao, K. and John, Renu(2019). Optical Coherence Tomography: Emerging In Vivo Optical Biopsy Technique for Oral Cancers . Oral Cancer Detection: Novel Strategies and Clinical Impact. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 217--237. Springer International Publishing
Kumar, Piyush and Murali Krishna, C.(2019). Optical Techniques: Investigations in Oral Cancers . Oral Cancer Detection: Novel Strategies and Clinical Impact. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 167--187. Springer International Publishing
(2016). Optical Techniques: Investigations in Oral Cancers. Oral Cancer Detection.
CONFERENCE PAPER
Bhattacharjee, T., Kumar, P., Fillipe, L.(2018). Automated pre-processing and multivariate vibrational spectra analysis software for rapid results in clinical settings . Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 10489.
(2016). Raman spectroscopy of hamster buccal pouch model: Investigating suitability of ex vivo models to evaluate in vivo spectra. European Journal of Cancer.
MAGAZINE ARTICLE
(2015). Deadliest diseases of the world: Cancer. Biotech Express.