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The area of research specialization of our laboratory is the investigation of structural, metabolic, and epigenetic events that are linked to brain disorders, specifically gliomas and dementia. These events are clinically significant but difficult to ascertain. By utilizing multidisciplinary methodologies, our research group endeavors to elucidate the molecular mechanisms that underlie the initiation and progression of malignancy, cognitive impairment, and cerebral small vessel diseases. Our research includes examinations of human subjects, a transgenic mouse model of neurological disorders, as well as cell and organoid models.
In order to solve the enigma of tumor heterogeneity, the group is developing novel metabolic models to generate in-vivo metabolic maps in conjunction with the genetic and epigenetic landscape throughout the entire brain tumor mass. We have created repertoire of molecular subtypes of glioma cell-lines, which are being leveraged to dissect Metabolic flux and metabolome-epigenome reprogramming as a function of molecular-background of the tumors viz. IDH-mutant vs wildtypes, ATRX-intact astrocytomas vs ATRX loss, 1p19q-codels and MGMT-methylated gliomas.
For improved clinical management of patients with brain disorders, the multidisciplinary approaches employ cutting-edge techniques of magnetic resonance imaging, tractography, and metabolic imaging in conjunction with sophisticated artificial intelligence and metabolic modeling to identify clinically significant, difficult-to-identify structural, neurovascular, and neurometabolic signatures.
The quantity of WMH burden correlates with an increased Brain Age relative to the given chronological age, and a 'Radiogenomic Platform' illustrates the metabolic and structural correlates of IDH mutant gliomas, are two of his recent findings.
Questions we currently Address:
Questions we currently Address:
Q. Does the Brain Age stoichiometrically with Calendar Age?
Q. What are the early Brain events definitive of Pathological Aging?
Q. How does a white matter disease reprogram the metabolic landscape of the brain and excitatory and inhibitory balance: An attempt to map Neurovascular coupling with Aging?
Q. Does shape, size and Geometry Matters in Gliomas:? Can we leverage the Radiomics and RadioMetabolomics features to establish noninvasive basis of identifying the clinically relevant epigenetic and molecular landscape in Gliomas?
Funded projects
Funded projects
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.
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.
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.
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.
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.
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.
© 2024-25 NIBBR Lab, IISER Berhampur
© 2024-25 NIBBR Lab, IISER Berhampur
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