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Jicha, Gregory A.

https://orcid.org/0000-0002-7980-2166

Mayo Clinic

University of Kentucky

Citations 36

TDP-43–Associated Neurodegenerative Disease Conceptualization and Integrated Staging
Benatar, Michael, Lagier‐Tourenne, Clotilde , Gregory, Jenna, Al-Chalabi, Ammar, Boeve, Bradley F., Maragakis, Nicholas J., Wuu, Joanne, Zeier, Zane, Onyike, Chiadi, Lewcock, Joe, Hovinga, Collin, Jafar-nejad, Paymaan, Uspenskaya, Olga, Simmons, Adam, Browne, Susan E., Rohrer, Jonathan, Petrucelli, Leonard, Shapiro, Jacquelyn, Scharper, Deb, Boxer, Adam, Staffaroni, Adam M. , Dacks, Penny, Dave, Kuldip D. , Majo, Martina de, Mitic, Laura, Fradette, Stephanie , Haeberlein, Samantha Budd , Simuni, Tanya, Dunn, Billy, Lee, Edward B., Js, Gregory , Benatar, Michael, Barmada, Sami, Jicha, Gregory A. , Al‐Chalabi, Ammar , Boeve, Bradley F. , Jack, Clifford R. , Seeley, William W. , Maragakis, Nicholas J. , Wuu, Joanne , Zeier, Zane R. , Hovinga, Collin A. , Jafar‐Nejad, Paymaan , Uspenskaya, Olga, Simmons, Adam, Browne, Susan E. , Petrucelli, L, Ostrow, Lyle W. , Dacks, Penny A. , Turner, Martin R. , Majo, Martina de , Simuni, Tanya , McMillan, Corey T. , Lee, Edward B.

JAMA Neurology | August 24, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamaneurol.2026.2812 Get It

Importance Classifying disease based on underlying pathobiology rather than clinical phenotype has implications for the development of biomarkers and therapy development. Observations Transactive response DNA-binding protein 43 kDa (TDP-43) pathology is observed across a range of clinically defined neurodegenerative disorders including limbic predominant age-related encephalopathy (LATE), most cases of amyotrophic lateral sclerosis (ALS), inclusion body myositis, multisystem proteinopathy, and approximately half the cases of frontotemporal dementia (FTD). Despite this shared biology, the current nosology for these neurodegenerative disorders is based on their distinct clinical phenotypes. An alternative approach recognizes the central role of TDP-43 pathology in disease pathogenesis, reserving the use of clinical terms like ALS, FTD, or LATE to describe phenotypic manifestations of underlying pathobiology. This approach also recognizes the converging biomarker and neuropathological data indicating that pathology begins presymptomatically, before the overt clinical manifestations of disease appear. Conclusions and Relevance In proposing a pathobiological definition of disease, the goal is to provide a road map for developing biomarkers that accurately reflect the underlying pathobiology of disease and for advancing therapeutic candidates that effectively target fundamental disease mechanisms.
Provider and patient perspectives on the diagnosis and treatment of Alzheimer's disease: A global perspective from the Global Alzheimer's Leadership Series (GoALS)
Andrieu, Sandrine, Bradshaw, Angela, Carmona, Ralph C., Iwatsubo, Takeshi, Hansson, Oskar, Jr, Clifford R Jack, Jicha, Gregory A, McDade, DO Eric, Mummery, Catherine J, Petersen, Ronald C, Robinson, Shelagh, Schneider, Julie A., Shellcross, Lenny, Smith, Amanda G, Snyder, Heather M. , Tapply, Beth, Teunissen, Charlotte, Flier, Wiesje M. van der, Vellas, Bruno, Williamson, Jeff D. , Wilcock, Donna, Carrillo, Maria C., Amouyel, Philippe , Andrieu, Sandrine , Bradshaw, Angela C. , Dumont, Magali , Grinberg, Lea T. , Iwatsubo, Takeshi , Hansson, Oskar , Jack, Clifford R. , Jicha, Gregory A. , Mahinrad, Simin , McDade, Eric , Mummery, Catherine J. , Petersen, Ronald C. , Schneider, Julie A. , Teunissen, Charlotte E. , Flier, Wiesje M. van der , Vellas, Bruno , Wallon, David , Carrillo, María C.

Alzheimer's & Dementia | June 16, 2026 | Volume: 22 | Issue: 6 | Pages: No page available

10.1002/alz.71536 Get It

Abstract Since 2016, the Alzheimer's Association and the Fondation Alzheimer have hosted Global Alzheimer's Leadership Series (GoALS) global think tanks, with world‐leading experts for innovative discussions to advance Alzheimer's disease (AD) research and care. The second GoALS think tank, held in June 2024 in Paris, focused on the relationship between biological changes and clinical manifestations of AD in the context of the evolving therapeutic landscape. Discussions spanned real‐world experiences of providers, patients, and their families, theoretical considerations, and health system challenges. The lived experience perspective was central to these discussions. The importance of shared decision‐making, clear and transparent communication, and the need for real‐world data to holistically support patients during their experiences were highlighted. This manuscript shares key insights from both the think tank meeting in Paris and a featured research session at the 2024 Alzheimer's Association International Conference that expanded the discussion themes for broader dissemination with the community.
The prevalence of Lewy body pathology across nine international community-based cohorts
Gibson, Lucy L. , Suemoto, Claudia K, Corrada, Maria M, Gómez-Isaza, Laura , Grinberg, Lea T, Kapasi, Alifiya , Jicha, Gregory A, Keene, C Dirk, Latimer, Caitlin S, Leite, Renata E P, Montine, Thomas, Neltner, Allison M. , Troncoso, Juan, Walker, Keenan A, Wang, Shih-Hsiu J, Aarsland, Dag, Nelson, Peter T, Suemoto, Cláudia Kimie , Suemoto, Claudia Kimie , Kapasi, Alifiya , Kovacs, Gabor G , Myllykangas, Liisa , Walker, Rod , Attems, Johannes , Abner, Erin L. , Corrada, María M. , Grinberg, Lea T. , Jicha, Gregory A. , Kawas, Claudia H. , Kovács, Gábor G. , Latimer, Caitlin S. , Leite, Renata Elaine Paraizo , Myllykangas, Liisa , Troncoso, Juan C. , Walker, Keenan A. , Aarsland, Dag , Nelson, Peter T.

Brain | March 25, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/brain/awag112 Get It

Abstract Reported prevalence estimates of Lewy body pathology (LBP) vary widely, often without considering brain regional distributions or demographic influences. Large, population-representative autopsy cohorts are needed to provide estimates and clarify the distribution and clinical implications of LBP. Neuropathological, genetic, and clinical data were pooled from nine community- or population-based brain autopsy cohorts in the USA (n=6), Brazil, Austria, and Finland (n=7309 total; 59% women; mean age of death 84.2 years). Cognitive status was available for 6166 participants: dementia (38.5%), mild cognitive impairment (14.8%), and cognitively unimpaired (47.0%). Frequency of LBP was examined by anatomical distribution (neocortical, limbic, brainstem, amygdala, olfactory) and stratified by covariates. Prevalence was calculated in meta-analysis, and mixed-effect logistic regression examined associations with sex, cognitive status, Alzheimer’s disease neuropathological change (ADNC), and limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) co-pathology. Overall, 27.3% of participants had LBP: neocortical 8.4%, limbic 6.8%, brainstem 4.8%, amygdala 3.7%, and olfactory 3.6%. Neocortical LBP was associated with dementia (present in 15%; OR=4.06 [95%CI 3.24-5.10]) and with increased odds of ADNC (OR=2.30 [95%CI 1.88–2.81]) and LATE-NC (OR=2.03 [95%CI 1.69-2.44]). Sex differences were not observed in the frequencies of neocortical or limbic LBP. However, amygdala-predominant LBP was more frequent in women (OR=1.53 [95%CI 1.06-2.21]) whereas brainstem-predominant LBP was more common in men (OR=0.64 [95%CI 0.49-0.84]). Additionally, amygdala-predominant LBP was associated with increased odds of comorbid ADNC (OR=12.7 [95%CI 5.30–30.6]) while brainstem-predominant LBP was not associated with greater odds of ADNC co-pathology (OR=0.88 [95%CI 0.67–1.16]). Pooling data from large, international community-based autopsy cohorts allows for more robust estimates of region-specific LBP prevalence and their associations with cognitive status. The observed sex- and co-pathology–specific differences in brainstem and amygdala-predominant LBP highlight potential biological heterogeneity and suggest that distinct disease pathways may underlie these patterns.
The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI): Overview of consortium sites and anticipated enrollment
Oomens, Julie Elisabeth , Biber, Sarah , Albert, Marilyn, Alosco, Michael L. , Arfanakis, Konstantinos , Brewer, James B., Chin, Erin, Clark, Lindsay R. , Cohen, Ann D. , Dage, Jeffrey L. , Detre, John A. , DiFilippo, Frank P. , Dyck, Christopher H. van , Grabowski, Thomas J. , Habes, Mohamad, Hedden, Trey , Jagust, William, Jefferson, Angela L. , Kecskemeti, Steven , Kantarci, Kejal, Keene, Dirk, Knoefel, Janice E. , Lin, Weili, Masurkar, Arjun V. , Morhardt, Darby, Okonkwo, Ozioma C. , Rabinovici, Gil D. , Rahman‐Filipiak, Annalise , Reiman, Eric M., Risacher, Shannon L. , Rosen, Howie, Schneider, Lon S. , Song, Allen W. , Swerdlow, Russell H. , Vaillancourt, David E. , Villemagne, Victor L. , Qiu, Deqiang , Foroud, Tatiana, Mormino, Elizabeth C. , Kantarci, Kejal , Oomens, Julie E , Kantarci, Kejal , Rabinovici, Gil D , Dage, Jeffrey L , Cohen, Annie , Benzinger, Tammie L.S. , Burns, Jeffrey M. , Chin, Nathaniel A. , Dickerson, Bradford Clark , Donohue, Michael , Fan, Audrey Peiwen , Habes, Mohamad , Harrison, Theresa M. , Hohman, Timothy J. , Jicha, Gregory A. , Kukull, Walter A. , Lin, Weili , Lao, Patrick , Lepping, Rebecca J. , Levendovszky, Swati Rane , McConathy, Jonathan , Mindt, Mónica Rivera , Noll, Douglas C. , Parrish, Todd B. , Reiman, Eric M. , Rudolph, Marc D. , Silbert, Lisa C. , Stark, Craig E.L. , Thompson, Paul M. , Wolk, S. J. , Johnson, Sterling C.

Alzheimer's & Dementia | November 10, 2025 | Volume: 21 | Issue: 11 | Pages: No page available

10.1002/alz.70880 Get It

Abstract INTRODUCTION The Consortium for Clarity in Alzheimer's disease related dementias (ADRD) Research Through Imaging (CLARiTI) is a study that aims to collect standardized imaging and plasma biomarkers on 2000 Clinical Core participants enrolled across all Alzheimer's Disease Research Centers (ADRC) sites. We sought to summarize the known heterogeneity across centers regarding scientific focus and initial enrollment plans for CLARiTI. METHODS We developed and distributed a survey capturing information on the 36 CLARiTI site's theme/expertise, recruitment plans, and the intersection of CLARiTI with other ADRC imaging efforts. RESULTS Anticipated CLARiTI enrollees spanned 11 different categories of suspected etiologies underlying impairment. A wide range of risk factors were endorsed across sites regarding the enrollment of unimpaired individuals. Variability also existed regarding site‐level strategies in enrollment into CLARiTI versus other imaging efforts. DISCUSSION We anticipate that the 2000 individuals that will enroll into CLARiTI will reflect the clinical heterogeneity already in place across the ADRC network. Highlights The ADRC Consortium for Clarity in ADRD Research Through Imaging (CLARiTI) will leverage and contribute to the existing Alzheimer's Disease Research Centers (ADRC) program by supporting standardized imaging and plasma collection across all centers. We summarize the variation in scientific focus and enrollment plans across ADRC sites participating in CLARiTI. The anticipated CLARiTI cohort will reflect the clinical heterogeneity that already exists across the ADRC network. CLARiTI will contribute to scientific goals related to the detection of multi‐etiological signatures relevant for Alzheimer's disease and related disorders (ADRDs).
MarkVCID2 Consortium for Clinical Validation of Biomarkers of Cerebral Small Vessel Disease: Validation Framework and Baseline Characteristics
Greenberg, Steven M. , Albert, Marylin S., An, Hongyu , Arfanakis, Konstantinos , Evia, Arnold M , Caprihan, Arvind , Ford, Andria L. , Fornage, Myriam , Day, Gregory S. , Hinman, Jason D. , Kashani, Amir H. , Kramer, Joel H. , Lachner, Christian , Maillard, Pauline , Petersen, Ronald C. , Ringman, John M. , Savitz, Sean I. , Windham, B. Gwen, Zhang, Rong , Tuozzo, Carissa , Singh, Herpreet , Moy, Sue, Okey‐Ewurum, Vilma , Kivisäkk, Pia , Blacker, Deborah , Mazina, Lidiya, Helmer, Karl G. , Wruck, Lisa , Corriveau, Roderick A. , Jicha, Gregory A , Kashani, Amir H , Lachner, Christian , Lee, Jin-Moo , Liu, Peiying , Lu, Hanzhang , Maillard, Pauline , Petersen, Ronald C , Psaty, Bruce M , Ringman, John M , Rosenberg, Gary A. , Satizabal, Claudia L , Seshadri, Sudha , Vemuri, Prashanthi , Wang, Danny J J , Wilcock, Donna M , Tuozzo, Carissa , Singh, Herpreet , Okey-Ewurum, Vilma , Page, Courtney B , Mulder, Hillary , Kivisäkk, Pia , Blacker, Deborah , Mazina, Lidiya , Helmer, Karl G , Wruck, Lisa M , Day, Gregory S , Jicha, Gregory A. , Lee, Jin‐Moo , Liu, Peiying , Lu, Hanzhang , Psaty, Bruce M. , Satizábal, Claudia L. , Schneider, Julie A. , Seshadri, Sudha , Vemuri, Prashanthi , Wang, Danny J.J. , Wilcock, Donna M. , Mulder, Hillary , Schwab, Kristin

Annals of Neurology | September 22, 2025 | Volume: 99 | Issue: 2 | Pages: 449-458

10.1002/ana.78040 Get It

Objective To establish a framework for validating candidate biomarkers of cerebral small vessel diseases (SVD) associated with cognitive impairment and characterize individuals enrolled by the MarkVCID2 consortium under this framework. Methods Participants age 60 to 90 years were enrolled across 17 MarkVCID2 sites. Recruitment was targeted to enrich in cognitive symptoms (mild dementia, mild cognitive impairment, subjective cognitive decline), defined risk factors (diabetes mellitus, advanced hypertension), and Black/African American, White, and Hispanic/Latino subgroups. Enrolled participants underwent baseline visits that included cognitive testing, multimodal magnetic resonance imaging (MRI), and biofluid collection. Provisional risk for SVD‐related cognitive decline was estimated primarily by baseline cognitive symptoms plus SVD risk factors. Adjudicated risk status was estimated by cognitive symptoms plus presence of moderate‐to‐severe white matter hyperintensities, microbleeds, or lacunes on baseline MRI. Results MarkVCID2 enrolled 1883 individuals age 73.4 ± 7.5 years, 65.0% female, 24.2% Hispanic, and 27.1% non‐Hispanic Black. Among enrollees, 44.8% were provisionally designated high‐risk. After baseline MRI, 48.5% were categorized as adjudicated high‐risk status, with substantial recategorization both from low‐ to high‐risk (primarily because of MRI lesions without SVD risk factors) and high‐ to low‐risk (primarily suspected cognitive impairment at screening not confirmed by baseline testing). Interpretation MarkVCID2 baseline data indicate successful enrollment of diverse individuals enriched in factors associated with SVD‐related cognitive decline. Changes over 3 years of longitudinal follow‐up will be analyzed to validate the candidate biomarkers for 2 projected contexts of use: subject selection (identifying likelihood of future SVD progression) and study outcome (efficiently measuring SVD progression). ANN NEUROL 2026;99:449–458
Clinical criteria for limbic‐predominant age‐related TDP‐43 encephalopathy
Nelson, Peter T. , Apostolova, Liana G. , Arfanakis, Konstantinos , Boyle, Patricia A. , Carlsson, Cynthia M. , Dacks, Penny A. , Domoto‐Reilly, Kimiko , Dugger, Brittany N. , Edelmayer, Rebecca M. , Grothe, Michel J. , Kawas, Claudia H. , Lee, Edward B., Lincoln, Karen D. , Maestre, Gladys E. , Mormino, Elizabeth C. , Onyike, Chiadi U. , Petersen, Ronald C. , Rabinovici, Gil D. , Rademakers, Rosa , Raman, Rema , Rascovsky, Katya, Rogalskı, Emily , Sperling, Reisa A., Yang, Hyun‐Sik , Corriveau-Lecavalier, Nick , Dugger, Brittany N , Domoto-Reilly, Kimiko , Rabinovici, Gil D , Grothe, Michel J , Dacks, Penny , Wolk, David A. , Corriveau‐Lecavalier, Nick , Dickerson, Bradford Clark , Fardo, David W. , Hohman, Timothy J. , Irwin, David J. , Jicha, Gregory A. , Jones, David T. , Rissman, Robert A. , Scheltens, Philip , Sperling, Reisa Anne , Yu, Lei , Zetterberg, Henrik , Schneider, Julie A.

Alzheimer's & Dementia | January 14, 2025 | Volume: 21 | Issue: 1 | Pages: No page available

10.1002/alz.14202 Get It

Abstract Limbic predominant age‐related TDP‐43 encephalopathy neuropathologic change (LATE‐NC) is highly prevalent in late life and a common co‐pathology with Alzheimer's disease neuropathologic change (ADNC). LATE‐NC is a slowly progressive, amnestic clinical syndrome. Alternatively, when present with ADNC, LATE‐NC is associated with a more rapid course. With the emergence of anti‐amyloid therapeutics, discrimination of LATE‐NC from ADNC is critical and will lead to greater clinical recognition of amnestic patients without ADNC. Furthermore, co‐pathology with LATE‐NC may influence outcomes of these therapeutics. Thus there is a need to identify patients during life with likely LATE‐NC. We propose criteria for clinical diagnosis of LATE as an initial framework for further validation. In the context of progressive memory loss and substantial hippocampal atrophy, criteria are laid out for probable (amyloid negative) or possible LATE (amyloid biomarkers are unavailable or when amyloid is present, but hippocampal neurodegeneration is out of proportion to expected pure ADNC). Highlights Limbic‐predominant age‐related TDP‐43 encephalopathy (LATE) is a highly prevalent driver of neuropathologic memory loss in late life. LATE neuropathologic change (LATE‐NC) is a common co‐pathology with Alzheimer's disease neuropathologic change (ADNC) and may influence outcomes with emerging disease‐modifying medicines. We provide initial clinical criteria for diagnosing LATE during life either when LATE‐NC is the likely primary driver of symptoms or when observed in conjunction with AD. Definitions of possible and probable LATE are provided.
Cerebrovascular reactivity (CVR) MRI as a biomarker for cerebral small vessel disease (SVD) related cognitive decline: Multi‐site validation in the MarkVCID Consortium
Hazel, Kaisha , Pottanat, George , Xu, Cuimei, Lucke, Emma, Gold, Brian T. , Greenberg, Steven M. , Helmer, Karl G. , Kramer, Joel H. , Mulavelil, Rachel, Singh, Herpreet , Velarde, Angel G., Kalyani, Rita R. , Rosenberg, Paul B. , Albert, Marilyn , Liu, Peiying , Lin, Zixuan , Jiang, Dengrong , Pillai, Jay J. , Bauer, Christopher E. , Jann, Kay , Jicha, Gregory A. , Maillard, Pauline , Satizábal, Claudia L. , Schwab, Kristin , Seshadri, Sudha , Wang, Danny J.J. , Moghekar, Abhay , Yaşar, Sevil , Lu, Hanzhang

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S2 | Pages: No page available

10.1002/alz.089224 Get It

AbstractBackgroundCerebral small vessel disease (SVD) related vascular contributions represent a major factor contributing to cognitive decline and dementia (VCID) in older adults. However, there has not been a validated biomarker for the diagnosis and treatment monitoring of this condition. Recently, the US National Institute on Neurological Disorders and Stroke (NINDS) funded the MarkVCID Consortium to identify and validate clinical‐trial‐ready biomarkers for VCID. Cerebrovascular reactivity (CVR) MRI is one of the selected biomarkers that underwent multi‐site testing in the Consortium. The present study aimed to report the relationship between CVR and cognitive function at independent sites, based on a pre‐specified hypothesis.MethodCVR, the ability of cerebral small vessels to dilate upon stimulus, is thought to directly reflect physiological function of the brain microvasculature. Based on previous single‐site findings, the pre‐defined hypothesis was that CVR will be associated with the global cognitive function measured by Montreal Cognitive Assessment (MoCA) after adjusting for age, sex, and education, and this association will be observed in data collected and analyzed at each individual site.A total of 264 older participants from three sites were included (Table 1). Each site performed an identical CVR MRI procedure using 5% CO2 inhalation, and a standardized clinical and cognitive evaluation. Multi‐linear regression analysis was conducted on a site‐by‐site basis to examine the pre‐defined hypothesis.ResultGray‐matter CVR showed a positive association with MoCA score after adjustment for age, sex, and education, in which participants with higher CVR had higher MoCA scores. This relationship was reproduced at each site (Figure 1, p<0.05 for each), confirming our pre‐specified hypothesis.In the secondary analysis of all data together, higher gray‐matter CVR was found to be significantly associated with better executive function measure of item response theory (IRT) score (β=2.87, p=0.003).ConclusionThe present study evaluated the relationship between CVR and cognition in a multi‐center setting. CVR was found to be positively associated with global cognitive function measured by the MoCA, which was shown to be reproducible across different sites with diverse cohorts. These findings support the utility of CVR as a biomarker in future clinical trials of SVD and VCID.
Cerebrovascular reactivity MRI as a biomarker for cerebral small vessel disease–related cognitive decline: Multi‐site validation in the MarkVCID Consortium
Liu, Peiying , Hazel, Kaisha , Pottanat, George , Xu, Cuimei, Pillai, Jay J. , Lucke, Emma, Bauer, Christopher E. , Gold, Brian T. , Greenberg, Steven M. , Helmer, Karl G. , Jann, Kay , Kramer, Joel H. , Maillard, Pauline , Mulavelil, Rachel, Rodriguez, Pavel, Seshadri, Sudha , Singh, Herpreet , Dediós, Angel Gabriel Velarde, Kalyani, Rita R. , Rosenberg, Paul B. , Yaşar, Sevil , Albert, Marilyn , Lu, Hanzhang , Lu, Hanzhang , Seshadri, Sudha , Pillai, Jay J , Liu, Peiying , Maillard, Pauline , Lin, Zixuan , Jiang, Dengrong , Jicha, Gregory A. , Satizábal, Claudia L. , Schwab, Kristin , Wang, Danny J.J. , Moghekar, Abhay

Alzheimer's & Dementia | July 1, 2024 | Volume: 20 | Issue: 8 | Pages: 5281-5289

10.1002/alz.13888 Get It

Abstract INTRODUCTION Vascular contributions to cognitive impairment and dementia (VCID) represent a major factor in cognitive decline in older adults. The present study examined the relationship between cerebrovascular reactivity (CVR) measured by magnetic resonance imaging (MRI) and cognitive function in a multi‐site study, using a predefined hypothesis. METHODS We conducted the study in a total of three analysis sites and 263 subjects. Each site performed an identical CVR MRI procedure using 5% carbon dioxide inhalation. A global cognitive measure of Montreal Cognitive Assessment (MoCA) and an executive function measure of item response theory (IRT) score were used as outcomes. RESULTS CVR and MoCA were positively associated, and this relationship was reproduced at all analysis sites. CVR was found to be positively associated with executive function. DISCUSSION The predefined hypothesis on the association between CVR and a global cognitive score was validated in three independent analysis sites, providing support for CVR as a biomarker in VCID. Highlights This study measured a novel functional index of small arteries referred to as cerebrovascular reactivity (CVR). CVR was positively associated with global cognition in older adults. This finding was observed in three independent cohorts at three sites. Our statistical analysis plan was predefined before beginning data collection.
A Neuropathologic Feature of Brain Aging: Multi-lumen Vascular Profiles (2750)
Ighodaro, Eseosa T. , Grant, Roger I. , Neltner, Janna H. , Schmitt, Frederick A. , Kryscio, Richard J. , Eldik, Linda Van, Nelson, Peter T. , Abner, Erin L. , Shih, Andy Y. , Jicha, Gregory A. , Bachstetter, Adam D. , Wilcock, Donna M. , Eldik, Linda J. Van

Neurology | December 7, 2023 | Volume: 96 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.96.15_supplement.2750 Get It

Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease
Shirzadi, Zahra , Schultz, Stephanie A. , Yau, Wai‐Ying Wendy , Fitzpatrick, Colleen , Levin, Raina, Kantarci, Kejal , Preboske, Gregory M., Jack, Clifford R. , Farlow, Martin R. , Hassenstab, Jason , Morris, John C. , Xiong, Chengjie , Levey, Allan I. , Gordon, Brian A. , Salloway, Stephen , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Chui, Helena C., Berman, Sarah , Mori, Hiroshi , Ruthirakuhan, Myuri , Wu, Che‐Yuan , Sohrabi, Hamid R. , Martins, Ralph N. , Johnson, Keith A. , Greenberg, Steven M. , Chhatwal, Jasmeer P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Weiner, Michael W. , Aisen, Paul, Petersen, Ronald , Jack, Clifford R., Jagust, William J. , Trojanowki, John Q., Morris, John C., Shaw, Leslie M. , Khachaturian, Zaven S., Carrillo, Maria, Potter, William Z., Bernard, Marie , Jackson, Jonathan , Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma C. , Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Sacrey, Diana Truran, Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Miriam T. , Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Raman, Rema , Jiménez, Gustavo , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Sloan, Brittany, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Jahanshad, Neda , DeCarli, Charles, Knaack, Alexander , Chen, Stephanie Rossi, Choe, Mark, Crawford, Karen , Reiman, Eric M. , Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michael, Neu, Scott, Apostolova, Liana G. , Foroud, Tatiana M., Faber, Kelley, Wilmes, Kristi, Thal, Leon J., Lind, Betty, Crissey, Rachel, Carter, Raina, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Dagerman, Karen, Spann, Bryan M., Brewer, James B., Vanderswag, Helen, Ziolkowski, Jaimie, Heidebrink, Judith L. , Zbizek-Nulph, Lisa, Mason, Sara S., Albers, Colleen S., Johnson, Kris , Villaneuva-Meyer, Javier, Pavlik, Valory , Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S. , Doody, Rachelle S., Shibley, Victoria, Chowdhury, Munir , Rountree, Susan, Dang, Mimi, Mintz, Akiva , Winkfield, David, Carroll, Maria , Stobbs-Cucchi, Georgia , Oliver, Angela , Creech, Mary L., Mintun, Mark A., Schneider, Stacy, Geldmacher, David , Love, Marissa Natelson , Griffith, Randall, Clark, David, Brockington, John, Marson, Daniel , Grossman, Hillel, Goldstein, Martin , Mitsis, Effie, Samuels, Patricia, Duara, Ranjan , Greig‐Custo, Maria T., Rodriguez, Rosemarie, Albert, Marilyn, Onyike, Chiadi, Farrington, Leonie, Rudow, Scott, Brichko, Rottislav, Kielb, Stephanie , Smith, Amanda , Raj, Balebail Ashok, Fargher, Kristin, Shulman, Melanie , Faustin, Arline , Rao, Julia, Castro, Karen M. , Ulysse, Anaztasia, Chen, Shannon, Sheikh, Mohammed O., Singleton-Garvin, Jamika, Doraiswamy, P. Murali , Petrella, Jeffrey R. , James, Olga, Borges‐Neto, Salvador , Karlawish, Jason , Vaishnavi, Sanjeev , Clark, Christopher M. , Arnold, Steven E. , Smith, Charles D. , Khouli, Riham El , Raslau, Flavius D., Oakley, MaryAnn, Simpson, Donna M., Martin, Kim, Kowalski, Nancy, Keltz, Melanie, Goldstein, Bonnie S., Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Thai, Gaby , Pierce, Aimee, Witbracht, Megan , Mathews, Dana, Quiceno, Mary , Hajjar, Ihab , Cellar, Janet S., Swerdlow, Russell H. , Kremen, Sarah , Tingus, Kathleen, Lu, Po H. , Bartzokis, George, Woo, Ellen, Graff‐Radford, Neill R. , Parfitt, Francine, Poki-Walker, Kim, Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Mecca, Adam P. , Good, Susan P., MacAvoy, Martha G., Carson, Richard E. , Varma, Pradeep, Chertkow, Howard , Vaitekunis, Susan, Hosein, Chris, Mudge, Benita, Assaly, Michele, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Rogers, John, Grant, Ian , Muse, Brittanie, Rogalskı, Emily , Robson, Jordan, Mesulam, M.‐Marsel, Kerwin, Diana , Wu, Chuang‐Kuo, Johnson, Nancy E., Lipowski, Kristine, Weıntraub, Sandra , Bonakdarpour, Borna , Hernando, Raymundo, Sarrael, Antero, Rosen, Howard J., Johnson, Kathleen, Reynolds, Brigid, Poe, Jessica, Sperling, Reisa A., Marshall, Gad A. , Yesavage, Jerome A. , Taylor, Joy L. , 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JAMA Neurology | October 16, 2023 | Volume: 80 | Issue: 12 | Pages: 1353

10.1001/jamaneurol.2023.3618 Get It

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P &amp;lt; .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P &amp;lt; .001]; ADNI: t = 9.1 [P &amp;lt; .001]; HABS: t = 5.4 [P &amp;lt; .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P &amp;lt; .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.