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Cherry, Jonathan D.

https://orcid.org/0000-0002-1257-981X

Mayo Clinic

Boston University

Citations 3

Neuroimmune proteins can differentiate between distinct neurodegenerative diseases
Baucom, Zachary, Eppich, Kaleb G., Dixon, Erin, Crary, John F. , McKee, Ann C. , Cherry, Jonathan D. , Kirsch, Daniel , Tripodis, Yorghos , Bieniek, Kevin F. , Farrell, Kurt , Whitney, Kristen R. , Uretsky, Madeline , Dickson, Dennis W.

Alzheimer's & Dementia | December 25, 2023 | Volume: 19 | Issue: S13 | Pages: No page available

10.1002/alz.072317 Get It

AbstractBackgroundAlthough we have greatly increased our ability to identify the presence of neurodegenerative pathology during life, additional techniques and targets are still needed to increase diagnostic specificity. Recently, it has become evident that the neuroinflammatory response might be tailored towards distinct diseases resulting in disease specific “neuroinflammatory signatures”. Therefore, a detailed comparison of neuroinflammatory molecules present among distinct neurodegenerative diseases could provide novel information of disease specific therapeutic targets or differential biomarkers.MethodTo better examine potential neuroinflammatory signatures, a 71 immune‐related protein multiplex ELISA panel was utilized to analyze anterior cingulate grey matter from 127 individuals neuropathologically diagnosed with Alzheimer’s disease (AD), but chronic traumatic encephalopathy (CTE), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and argyrophilic grain disease (AGD). A partial least square regression analysis was used for unbiased clustering and identifying proteins that were distinctly correlated with each disease correcting for age and gender. Receiver operator characteristic and binary logistic regression analyses were then used to examine the ability of each candidate protein to distinguish diseases. Validation in postmortem cerebrospinal fluid (CSF) from 15 AD and 14 CTE cases was performed to determine if candidate proteins could act as possible biomarkers. Finally, histology was performed using candidate proteins to visualize cell type expression for better understanding of potential mechanistic pathways.ResultFive clusters of neuroimmune proteins were identified and compared to determine if clusters were specific to distinct disease. Each cluster was found to correlate with either CTE, AD, PSP, CBD, or AGD. When examining which proteins were the strongest driver of each cluster, it was observed the most distinctive protein for CTE was CCL21, AD was FLT3L, and PSP was IL13. Individual proteins that were specific to CBD and AGD were not observed. CCL21 was observed to be elevated in CTE CSF compared to AD, further validating the use as possible biomarkers.ConclusionOverall, these results highlight that different neuroinflammatory responses might underlie unique mechanisms in related neurodegenerative pathologies. Additionally, the use of distinct neuroinflammatory signatures could help differentiate between neuropathologies and act as novel biomarker candidate to increase specificity for in‐life diagnoses.
Neuroimmune proteins can differentiate between tauopathies
Cherry, Jonathan D. , Baucom, Zach H., Eppich, Kaleb G., Kirsch, Daniel , Dixon, Erin, Crary, John F. , McKee, Ann C. , Tripodis, Yorghos , Bieniek, Kevin F. , Farrell, Kurt , Whitney, Kristen R. , Uretsky, Madeline , Dickson, Dennis W.

No container title available | September 27, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2092813/v1 Get It

AbstractBackgroundTauopathies are a group of neurodegenerative diseases where there is pathologic accumulation of hyperphosphorylated tau protein (ptau). The most common tauopathy is Alzheimer’s disease (AD), but chronic traumatic encephalopathy (CTE), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and argyrophilic grain disease (AGD) are significant health risks as well. Currently, it is unclear what specific molecular factors might drive each distinct disease and represent therapeutic targets. Additionally, there is a lack of biomarkers that can differentiate each disease in life. Recent work has suggested that neuroinflammatory changes might be specific among distinct diseases and offers a novel resource for mechanistic targets and biomarker candidates.MethodsTo better examine each tauopathy, a 71 immune-related protein multiplex ELISA panel was utilized to analyze anterior cingulate grey matter from 127 individuals neuropathologically diagnosed with AD, CTE, PSP, CBD, and AGD. A partial least square regression analysis was carried out to perform unbiased clustering and identify proteins that are distinctly correlated with each tauopathy correcting for age and gender. Receiver operator characteristic and binary logistic regression analyses were then used to examine the ability of each candidate protein to distinguish diseases. Validation in postmortem cerebrospinal fluid (CSF) from 15 AD and 14 CTE cases was performed to determine if candidate proteins could act as possible novel biomarkers.ResultsFive clusters of immune proteins were identified and compared to each tauopathy to determine if clusters were specific to distinct disease. Each cluster was found to correlate with either CTE, AD, PSP, CBD, or AGD. When examining which proteins were the strongest driver of each cluster, it was observed the most distinctive protein for CTE was 6Ckine, AD was FLT3L, and PSP was IL13. Individual proteins that were specific to CBD and AGD were not observed. 6Ckine was observed to be elevated in CTE CSF compared to AD cases (p = 0.02), further validating the use as possible biomarkers.ConclusionsOverall, these results highlight that different neuroinflammatory responses might underlie unique mechanisms in related neurodegenerative pathologies. Additionally, the use of distinct neuroinflammatory signatures could help differentiate between tauopathies and act as novel biomarker candidates.
Differential Vulnerability of Hippocampal Subfields in Primary Age-Related Tauopathy and Chronic Traumatic Encephalopathy
Farrell, Kurt , Iida, Megan A., Cherry, Jonathan D. , Casella, Alicia, Stein, Thor D. , Bieniek, Kevin F. , Richardson, Timothy E. , Alvarez, Victor E., Huber, Bertrand R. , Insausti, Ricardo , Group, The Part Working, Vonsattel, Jean‐Paul, Teich, Andy F, Gearing, Marla , Glass, Jonathan D. , Troncoso, Juan C. , Frosch, Matthew P. , Attems, Johannes , Mesulam, M-Marsel, Weıntraub, Sandra , Woltjer, Randy, Pham, Thao, Kofler, Julia , Yu, Lei , Purohit, Dushyant P. , Haroutunian, Vahram , Sano, Mary , Beach, Thomas G. , Kawas, Claudia H. , Metcalf, Jeff , Shuldberg, Sara, Salehi, Bahar , Nelson, Peter T. , Trojanowski, John Q. , Latimer, Caitlin S. , Montine, Thomas J. , Kovács, Gábor G. , Lutz, Mirjam I. , Perrin, Richard J. , Cairns, Nigel J. , McKee, Ann C. , Crary, John F. , Kovacs, Gabor G , Farrell, Kurt , Walker, Jamie M. , White, Charles L. , Dickson, Dennis W. , Dams-O’Connor, Kristen , Group, The Part Working, Teich, Andy F, Hyman, Bradley T. , Murray, Melissa E. , Flanagan, Margaret E. , Mao, Qinwen , Schneider, Julie A. , Yu, Lei , Hof, Patrick R. , Gandy, Sam , Poon, Wayne W. , Corrada, María M. , Rissman, Robert A. , Lee, Edward B. , Wolk, David A. , McMillan, Corey T. , Keene, C. Dirk , Fischer, Peter A.

Journal of Neuropathology & Experimental Neurology | August 25, 2022 | Volume: 81 | Issue: 10 | Pages: 781-789

10.1093/jnen/nlac066 Get It

Abstract Chronic traumatic encephalopathy (CTE) is a tauopathy associated with repetitive mild head impacts characterized by perivascular hyperphosphorylated tau (p-tau) in neurofibrillary tangles (NFTs) and neurites in the depths of the neocortical sulci. In moderate to advanced CTE, NFTs accumulate in the hippocampus, potentially overlapping neuroanatomically with primary age-related tauopathy (PART), an age-related tauopathy characterized by Alzheimer disease-like tau pathology in the hippocampus devoid of amyloid plaques. We measured p-tau burden using positive-pixel counts on immunohistochemically stained and neuroanatomically segmented hippocampal tissue. Subjects with CTE had a higher total p-tau burden than PART subjects in all sectors (p = 0.005). Within groups, PART had significantly higher total p-tau burden in CA1/subiculum compared to CA3 (p = 0.02) and CA4 (p = 0.01) and total p-tau burden in CA2 trended higher than CA4 (p = 0.06). In CTE, total p-tau burden in CA1/subiculum was significantly higher than in the dentate gyrus; and CA2 also trended higher than dentate gyrus (p = 0.01, p = 0.06). When controlling for p-tau burden across the entire hippocampus, CA3 and CA4 had significantly higher p-tau burden in CTE than PART (p < 0.0001). These data demonstrate differences in hippocampal p-tau burden and regional distribution in CTE compared to PART that might be helpful in differential diagnosis and reveal insights into disease pathogenesis.