Sivakumaran, Sudhir
https://orcid.org/0000-0002-8586-0469
Mayo Clinic
Lewy Body Dementia Association
Citations 2
Beyond Alzheimer’s disease—translating biomarker insights across CNS diseases
Brady, Linda S. , Mahinrad, Simin , Edelmayer, Rebecca M. , Potter, William Z. , Hutten, Samantha J. , Anticevic, Alan , Taylor‐Burds, Carol , Winston, Charisse N. , Coetzee, Timothy , Paulsen, Jane S. , Mantua, Valentina, Childers, Eva P. , Jack, Clifford R. , Jagust, William J. , Wagner, John A. , Sivakumaran, Sudhir , Shaw, Leslie M. , Jack, Clifford R , Jagust, William J , Wagner, John A , Sivakumaran, Sudhir , Shaw, Leslie , Mahinrad, Simin , Kolb, Hartmuth C. , Sharma, Vikas Mohan
Science Translational Medicine | November 5, 2025 | Volume: 17 | Issue: 823 | Pages: No page available
Decades of research on biomarker identification and integration in Alzheimer’s disease (AD) have helped to advance biologically driven disease models, disease subtypes, and disease-modifying treatments. Key lessons learned from AD biomarker development include the need for integration of new biological insights, investment in large cross-sectional and longitudinal studies, a multicomponent biomarker approach, and recruitment of clinical trial cohorts and biosamples that are representative of the target population. We describe how these lessons are being applied in Parkinson’s disease, Huntington’s disease, multiple sclerosis, and psychotic disorders as use cases to inform biomarker-based approaches across central nervous system disorders.
Harmonizing tau positron emission tomography in Alzheimer's disease: The CenTauR scale and the joint propagation model
Leuzy, Antoine , Villemagne, Victor L. , Klein, Gregory , Tonietto, Matteo, Olafson, Emily, Baker, Suzanne L. , Saad, Ziad S., Bullich, Santiago , Lopresti, Brian J. , Boada, Merçé , Charil, Arnaud , Collins, Emily C. , Collins, Jessica , Cullen, Nicholas , Gunn, Roger N. , Higuchi, Makoto , Hostetler, Eric D., Hutchison, R. Matthew , Irizarry, Michael C. , Jack, Clifford R. , Jagust, William J. , Karten, Yashmin, Marquié, Marta , Mathotaarachchi, Sulantha , Mintun, Mark A., Pappas, Ioannis , Petersen, Ronald C. , Rabinovici, Gil D. , Stephens, Andrew , Whittington, Alex , Carrillo, Marı́a C., Pontecorvo, Michael J. , Haeberlein, Samantha Budd , Dunn, Billy , Kolb, Hartmuth C. , Doré, Vincent , Carrillo, María C. , Jack, Clifford R , Boada, Merce , Rabinovici, Gil D , Doré, Vincent , Rakêt, Lars Lau , Tonietto, Mattéo , Bohórquez, Sandra Sanabria , Betthauser, Tobey J. , Iaccarino, Leonardo , Insel, Philip S. , Johnson, Sterling C. , Ossenkoppele, Rik , Rosa-Neto, Pedro , Schwarz, Christopher G. , Smith, Ruben , Sivakumaran, Sudhir , Rowe, Christopher Cleon , Hansson, Oskar
Alzheimer's & Dementia | July 23, 2024 | Volume: 20 | Issue: 9 | Pages: 5833-5848
Abstract INTRODUCTION Tau‐positron emission tomography (PET) outcome data of patients with Alzheimer's disease (AD) cannot currently be meaningfully compared or combined when different tracers are used due to differences in tracer properties, instrumentation, and methods of analysis. METHODS Using head‐to‐head data from five cohorts with tau PET radiotracers designed to target tau deposition in AD, we tested a joint propagation model (JPM) to harmonize quantification (units termed “CenTauR” [CTR]). JPM is a statistical model that simultaneously models the relationships between head‐to‐head and anchor point data. JPM was compared to a linear regression approach analogous to the one used in the amyloid PET Centiloid scale. RESULTS A strong linear relationship was observed between CTR values across brain regions. Using the JPM approach, CTR estimates were similar to, but more accurate than, those derived using the linear regression approach. DISCUSSION Preliminary findings using the JPM support the development and adoption of a universal scale for tau‐PET quantification. Highlights Tested a novel joint propagation model (JPM) to harmonize quantification of tau PET. Units of common scale are termed “CenTauRs”. Tested a Centiloid‐like linear regression approach. Using five cohorts with head‐to‐head tau PET, JPM outperformed linearregressionbased approach. Strong linear relationship was observed between CenTauRs values across brain regions.