ଭାରତୀୟ ବିଜ୍ଞାନ ଶିକ୍ଷା ଏବଂ ଗବେଷଣା ସଂସ୍ଥାନ ବ୍ରହ୍ମପୁର

भारतीय विज्ञान शिक्षा एवं अनुसंधान संस्थान बरहमपुर

Indian Institute of Science Education and Research Berhampur

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Dr. Vivek Tiwari

Assistant Professor

Biological Sciences

vivekt@iiserbpr.ac.in

9040178239

Personal Website

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Academic Background

  • PhD, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India

  • M.Sc. (Biochemistry) University of Hyderabad, Hyderabad, India

  • B.Sc. (Zoology Hons.) Banaras Hindu University, Varanasi, India

Professional Experience 

  • Assistant Professor (Sept 2021- onwards), Indian Institute of Science Education and Research, Berhampur

  • Assistant Professor (Oct 2019 – Aug 2021) Centre for Brain Research (CBR), Indian Institute of Science, Bengaluru

  • Postdoctoral Fellow (2014-2019): Advanced Imaging Research Centre, University of Texas Southwestern Medical Center, Dallas, Texas, USA

Awards and Memberships

  • Research Grant in Advanced Areas of Applied Biotechnology from Odisha S&T, Govt. of Odisha

  • Research Grant from Indian Council of Medical Research (ICMR), India to work on Gliomas

  • Research grant from SERB-SRG (2022)

  • Received a Grant from SERB-SSY

  • Investigator Award at Indo-UK Collaborations, Royal Society-BCKIC Joint Symposium on Health and Well-being.

  • Best Oral Mid-Age Group Scientist Award at 41st International Annual Conference of the Indian Association for Cancer Research (IACR-2022)

  • Young Investigator Platform Talk at the 27th International Conference on “Interdisciplinary Research in Biomedical Sciences" CONIAPS XXVII, October 26-28, 2021

  • Suma Cum Laude Merit Award , 27th Annual Meeting and Symposia of International Society for Magnetic Resonance in Medicine, at Montreal, Canada

  • Magna Cum Laude Merit Award , 25th Annual Meeting and Symposia of International Society for Magnetic Resonance in Medicine at Hawaii, USA

  • Suma Cum Laude Merit Award, 24th Annual Meeting and Symposia of International Society for Magnetic Resonance in Medicine at Singapore

  • A.R. Gopala Aiyengar Best Poster Award, Annual Meeting of the Indian Biophysical Society, Chennai

  • D.M. Bose Best Poster Award, 7th Asian Biophysics Association Symposium & Annual Meeting of the Indian Biophysical Society, New Delhi

  • Scientific Advisory Board Member at Indian Honey Alliance

  • Lifetime member of Indian Academy of Neuroscience

  • Lifetime member of Society for Neurochemistry of India

  • Permanent member of International Society to Advance Alzheimer's Research and Treatment (ISTAART)

  • Lifetime member of National Magnetic Resonance Society of India

  • Lifetime member of Asian Society for Magnetic Resonance in Medicine

Research Interests

  • Brain Biochemistry and Cancer Biology

  • Neurobiology of Brain Disorders

  • Cognition and Neuroanatomy

  • Artificial Intelligence and Neuroimaging

  • Magnetic Resonance Imaging and NMR Spectroscopy

Research Group

  • Neha Yadav, PhD Scholar

  • Niraj Kumar Gupta, PhD Scholar

  • Shreya S Shetty

  • Rittika Dutta

  • Rituparna Sahoo

  • Sunita Pradhan

  • Barsha Rani Dey, JRF

  • Rajni Chandak, JRF

  • Ashish Panigrahi, JRF

  • Bhrijesh Mishra, MS Dissertation

  • B R Adarsh Shubham, MS Dissertation

  • Ananya Praharaj, MS Dissertation

  • Jayshaan Baibhav, MS Dissertation

About me

I am a Neurochemist and a Biophysicist with expertise in Neurobiology of Brain Disorders and Cancer Biochemistry to understand clinically relevant unique Genetic and Metabolic reprogramming in Gliomas and Aging Associated Disorders. I employ multidisciplinary approaches encompassing metabolic kinetics, neuroimaging and cognitive investigations in human patients, mouse model and cellular model systems. With an acquired expertise in Artificial intelligence, I always aim for developing a highly precise translatable quantitative platform for the improved clinical management of brain disorders.

Biography

Dr. Vivek Tiwari’s research is centered on exploring the clinically relevant but challenging-to-identify structural, metabolic and epigenetic events associated with brain disorders, with a particular focus on gliomas and dementia.  Vivek’s research group employs multidisciplinary approaches to unravel the molecular underpinning of cancer initiation and progression, cognitive impairment and cerebral small vessel diseases. His study encompasses investigations in human patients, transgenic mouse model of brain diseases, cell and organoid models. 


Dr. Vivek's research group at IISER Berhampur is developing novel metabolic models to generate in vivo metabolic maps in whole brain and tumor mass together with genetic and epigenetic correlates to understand the underpinning of structural heterogeneities in cancers, particularly gliomas.  The multidisciplinary approaches being employed in his group encompass metabolic investigations in vivo clubbed with magnetic resonance imaging and spectroscopy, fiber tractography and cognitive biology, wrapped in artificial intelligence and metabolic modeling to identify clinically relevant hard-to-identify structural, neurovascular and neurometabolic signatures for improved clinical management of patients with brain disorders. His postdoctoral work in a multidisciplinary group of Physicists, Neurosurgeons and Neurooncologists allows him to envision his science from bench to bedside.


As a testament to his prior scientific trajectory, within a short span of time, he has established strong clinical collaborations and secured fundings to work on various clinically challenging problems in Cancer Biology and Aging associated Disorders. 

Research Projects

Ongoing Funded Research Projects/Objectives

 

1. Understanding Metabolic and Epigenetic Reprogramming in Gliomas (Funded by SERB): 
Does IDH mutant gliomas reprogram the metabolic and epigenetic landscape to attain high proliferative index? We are investigating the epigenetic landscape and metabolic signatures that confer good prognosis to IDH mutant gliomas compared to IDH wildtype.

2. Metabolic Consumption, Release and Kinetics Measurement across Molecular Subtypes of Gliomas (Funded by SERB): 

Revised WHO Classification of Central nervous system (CNS) tumor has introduced molecular basis of classification based on presence/absence of Isocitrate dehydrogenase (IDH) mutation, 1p/19q codeletion, TP53 status, ATRX mutation. We are employing multidisciplinary approach involving cellular, mouse model and glioma patients to deduce the genotype-phenotype underpinning of molecular subtypes, biochemical kinetics and its clinical implications. 

3. Development of an Artificial Intelligence-Radiomics based Brain MRI Platform to Generate Post-Contrast Images without Performing Gadolinium-injected-MRI for clinical decisions in Glioma Patients (Funded by ICMR):

A novel strategy to bypass contrast injected MRI: We aim to bypass the need of Gd injection for generating the tumor tissue contrast and structural details of tumors mass by using a novel combinatorial approach of Structural MRI (3D-T1, 3D-T2, 3D-T2-FLAIR, T2*-susceptibility weighted images (SWI)), Perfusion-MRI (pseudo continuous arterial spin labelling (pCASL)), 3D-Spectroscopic imaging (3D-MRSI) together with artificial Intelligence based Machine Learning/Deep Learning neural network analysis by developing an easy-to-operate first of its kind a unique RADIOME PLATFORM. 

4. Magnitude and Kinetics of Neuroanatomic Volume and White Matter Hyperintensity with Age is definitive of Cognitive Status and Brain Age (Funded by ICMR)

Clinically precise discrimination of brain health and cognitive status as a function of neuroanatomical and microvascular health of a subject at a given chronological age non-invasively demands a quantitative morphometric threshold of optimal number of brain structural features together with small vessel pathologies. To pinpoint the cognitive status as normal, impaired and Alzheimer’s disease, and associated structural, vascular and metabolic signatures, we employ comprehensive longitudinal neuroanatomic segmentation, white matter hyperintensity quantification wrapped in artificial intelligence.

5. Developing a Metabolite-Cytokine Platform for Early Identification of Hypoxia Ischemic Encephalopathy in Neonates (Funded by Odisha S&T, Govt of India): This project involves blood based metabolomics and cytokine profiling from new borns followed by AI based quantitative platform for development of early biomarkers for identifying HIE in neonates.

6. Metagenomics and Artificial Intelligence in Identifying Deep Ocean Biodiversity (Funded by MoES, as a multi-institute multi PI project):

This project involves conducting metagenomics and metabolomics in Deep Ocean Biodiversity of Odisha to identify biologically relevant Biosynthetic Gene Clusters and Unique Metabolic Fingerprints. 

Key Publications

1.  Yadav N, Mohanty A, V A, Tiwari V. Fractal dimension and lacunarity measures of glioma subcomponents are discriminative of the grade of gliomas and IDH status. NMR Biomed. 2024 Oct 5. doi: 10.1002/nbm.5272. Epub ahead of print. PMID: 39367752. Web Link


2.   Yadav N, Gupta NK, Thakar D, Tiwari V. Magnitude and kinetics of a set of neuroanatomic volume and thickness together with white matter hyperintensity is definitive of cognitive status and brain age. Transl Psychiatry. 2024 Sep 27;14(1):389. doi: 10.1038/s41398-024-03097-2. PMID: 39333492; PMCID: PMC11437080. Web Link


3.    Tiwari V, Daoud EV, Hatanpaa KJ, Gao A, Zhang S, An Z, Ganji SK, Raisanen JM, Lewis CM, Askari P, Baxter J, Levy M, Dimitrov I, Thomas BP, Pinho MC, Madden CJ, Pan E, Patel TR, DeBerardinis RJ, Sherry DA, Mickey BE, Malloy CR, Maher EA, Choi C. (2020) Glycine by MR spectroscopy is an imaging biomarker of glioma aggressiveness. Neuro-Oncology 2(7):1018-1029 (Impact Factor: 12.3) Web Link

 

4.    Tiwari V, Mashimo T, An Z, Vemireddy V, Piccirillo S, Askari P, Hulsey KM, Zhang S, de Graaf RA, Patel TR, Pan E, Mickey BE, Maher EA, Bachoo RM, and Choi C (2020) In Vivo detection of 2-Hydroxyglutarate in IDH mutant Mouse and human brain tumor. Magnetic Resonance in Medicine 84(3):1152-1160 (Impact Factor: 4.668) Web Link

 

5.    An Z, Tiwari V, Levy M, Hatanpaa K, Pan E, Maher EA, Patel TR, Mickey B, and Choi C (2019) 3D High-Resolution Imaging of 2-Hydroxyglutarate in Glioma Patients using DRAG-EPSI at 3T In Vivo. Magnetic Resonance in Medicine 81(2):795-802. (Impact Factor: 4.668) Web Link

 

6.    Tiwari V, An Z, Wang Y, Choi C (2018) Distinction of the GABA 2.29 ppm resonance using triple refocusing at 3T In Vivo. Magnetic Resonance in Medicine 80(4):1307-1319. (Impact Factor: 4.668) Web Link

 

7.    Tiwari V, An Z, Ganji SK, Baxter J, Mickey B, Pan E, Maher EA, Pinho M and Choi C (2017) Measurement of Glycine in healthy and tumorous brain by triple- refocusing MRS at 3T In Vivo. NMR Biomedicine 30: e3747 (Impact Factor: 4.04) Web Link

 

8.    Tiwari V, Veeraiah P, Subramaniam V, Patel AB (2013) Differential Effects of Ethanol on Regional Glutamatergic and GABAergic Neurotransmitter Pathways in Mouse Brain. J. of Neurochemistry 128:628-640 (Impact Factor: 5.37) Web Link

Contact Details

Full Name

Vivek Tiwari

Email

vivekt@iiserbpr.ac.in

Contact

9040178239

Address

IISER Berhampur

Personal Website

https://sites.google.com/iiserbpr.ac.in/nibbrlab/home