The Association of Neuromorphometry and Blood Biomarkers in Progressive Supranuclear Palsy

Poster No:

178 

Submission Type:

Abstract Submission 

Authors:

Siddhartha Sankar Mondal1, Rebecca Banerjee1, Koustav Chatterjee1, Bishmita Biswas1, Swarnava Sengupta1, Asit Baran Bayen1, Supriyo Choudhury1, Purba Basu1, Jyoti Rungta1, Esha Basu1, Mona Tiwari1, Sayan Dasgupta1, Gausia Jamila Ahmed1, Hrishikesh Kumar1

Institutions:

1Institute of Neurosciences Kolkata, Kolkata, West Bengal

First Author:

Siddhartha Sankar Mondal, PhD Student  
Institute of Neurosciences Kolkata
Kolkata, West Bengal

Co-Author(s):

Rebecca Banerjee, Research scientist  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Koustav Chatterjee  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Bishmita Biswas, Research Intern  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Swarnava Sengupta, JRF  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Asit Baran Bayen, SRF  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Supriyo Choudhury, Research scientist  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Purba Basu, CLINICIAN  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Jyoti Rungta, SRF  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Esha Basu, JRF  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Mona Tiwari, Head of Radiology  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Sayan Dasgupta, Research Intern  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Gausia Jamila Ahmed, Research Intern  
Institute of Neurosciences Kolkata
Kolkata, West Bengal
Hrishikesh Kumar, Head of Neurology  
Institute of Neurosciences Kolkata
Kolkata, West Bengal

Introduction:

Introduction: Blood biomarkers may advance our understanding of the pathogenesis in PSP. Blood neurofilament light chain (NfL) is emerging as a valuable biomarker for assessing disease severity and prognosis in PSP (Rojas et al., 2016). Glial fibrillary acidic protein (GFAP) in blood is a potential marker reflecting glial activation (Yang & Wang, 2015). GFAP/NfL ratio differentiates neuronal damage from astrocytic activation, elucidating the underlying causes of the disease (Barro et al., 2023). The volume, curvature, thickness, and surface area of subcortical and cortical brain regions undergo significant changes in PSPWorker et al., 2014).


Objective: To evaluate the association of circulating biomarkers in Progressive Supranuclear Palsy (PSP) patients with structural changes of the brain using neuromorphometry.

Methods:

We recruited 11 PSP patients and 13 healthy controls from the outpatient department of our institute. PSP rating scale was used to evaluate disease severity. Subjects underwent 3D T1 MPRAGE brain MRI scans. Neuromorphometry was performed using freesurfer neuroimaging software. Total 5 ml blood was collected for serum isolation. ELISA for GFAP, NfL levels were performed.

Results:

In PSP, NfL levels increased significantly (p = 0.0001) and correlated with disease severity (p = 0.014). NfL levels correlated with the left rostral anterior cingulate volume (p = 0.007) and surface area (p = 0.035), left transverse temporal surface area (p = 0.016), and left superior parietal and right supramarginal curvature. GFAP/NfL significantly decreased (p = 0.014) in PSP. The GFAP/NfL index was significantly associated with volumes for left choroid plexus (p = 0.032), left caudal anterior cingulate (p = 0.029), left rostral anterior cingulate (p = 0.002), right lingual (p = 0.035), postcentral gyrus (p = 0.035), and surface area for left supramarginal (p = 0.026), right pars orbitalis (p = 0.031), as well as curvature of left superior parietal (p = 0.040) in PSP.

Conclusions:

PSP patients had higher NfL levels that correlated with disease severity and brain structural abnormalities. A decreased GFAP/NfL ratio indicates neuronal damage over glial involvement in PSP pathogenesis. The findings suggest that neuromorphometric measures combined with blood NfL and GFAP/NfL indices may assist in early detection of PSP.

Disorders of the Nervous System:

Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1

Higher Cognitive Functions:

Executive Function, Cognitive Control and Decision Making

Neuroanatomy, Physiology, Metabolism and Neurotransmission:

Cortical Anatomy and Brain Mapping 2
Subcortical Structures

Novel Imaging Acquisition Methods:

Imaging Methods Other

Keywords:

Acquisition
Cortex
Data analysis
DISORDERS
MRI
Statistical Methods
STRUCTURAL MRI
Structures
Sub-Cortical
Thalamus

1|2Indicates the priority used for review

Abstract Information

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Please indicate below if your study was a "resting state" or "task-activation” study.

Other

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Patients

Was this research conducted in the United States?

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Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

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Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

Structural MRI

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

Free Surfer

Provide references using APA citation style.

1. Barro, C., Healy, B. C., Liu, Y., Saxena, S., Paul, A., Polgar-Turcsanyi, M., Guttmann, C. R. G., Bakshi, R., Kropshofer, H., Weiner, H. L., & Chitnis, T. (2023). Serum GFAP and NfL Levels Differentiate Subsequent Progression and Disease Activity in Patients With Progressive Multiple Sclerosis. Neurology(R) Neuroimmunology & Neuroinflammation, 10(1). https://doi.org/10.1212/NXI.0000000000200052
2. Rojas, J. C., Karydas, A., Bang, J., Tsai, R. M., Blennow, K., Liman, V., Kramer, J. H., Rosen, H., Miller, B. L., Zetterberg, H., & Boxer, A. L. (2016). Plasma neurofilament light chain predicts progression in progressive supranuclear palsy. Annals of Clinical and Translational Neurology, 3(3), 216–225. https://doi.org/10.1002/acn3.290
3. Worker, A., Blain, C., Jarosz, J., Chaudhuri, K. R., Barker, G. J., Williams, S. C. R., Brown, R., Leigh, P. N., & Simmons, A. (2014). Cortical Thickness, Surface Area and Volume Measures in Parkinson’s Disease, Multiple System Atrophy and Progressive Supranuclear Palsy. PLoS ONE, 9(12), e114167. https://doi.org/10.1371/journal.pone.0114167
4. Yang, Z., & Wang, K. K. W. (2015). Glial fibrillary acidic protein: from intermediate filament assembly and gliosis to neurobiomarker. Trends in Neurosciences, 38(6), 364–374. https://doi.org/10.1016/j.tins.2015.04.003

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India