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Item 15 Years of Longitudinal Genetic, Clinical, Cognitive, Imaging, and Biochemical Measures in DIAN(medRxiv, 2024-08-09) Daniels, Alisha J.; McDade, Eric; Llibre-Guerra, Jorge J.; Xiong, Chengjie; Perrin, Richard J.; Ibanez, Laura; Supnet-Bell, Charlene; Cruchaga, Carlos; Goate, Alison; Renton, Alan E.; Benzinger, Tammie L. S.; Gordon, Brian A.; Hassenstab, Jason; Karch, Celeste; Popp, Brent; Levey, Allan; Morris, John; Buckles, Virginia; Allegri, Ricardo F.; Chrem, Patricio; Berman, Sarah B.; Chhatwal, Jasmeer P.; Farlow, Martin R.; Fox, Nick C.; Day, Gregory S.; Ikeuchi, Takeshi; Jucker, Mathias; Lee, Jae-Hong; Levin, Johannes; Lopera, Francisco; Takada, Leonel; Sosa, Ana Luisa; Martins, Ralph; Mori, Hiroshi; Noble, James M.; Salloway, Stephen; Huey, Edward; Rosa-Neto, Pedro; Sánchez-Valle, Raquel; Schofield, Peter R.; Roh, Jee Hoon; Bateman, Randall J.; Dominantly Inherited Alzheimer Network; Neurology, School of MedicineThis manuscript describes and summarizes the Dominantly Inherited Alzheimer Network Observational Study (DIAN Obs), highlighting the wealth of longitudinal data, samples, and results from this human cohort study of brain aging and a rare monogenic form of Alzheimer's disease (AD). DIAN Obs is an international collaborative longitudinal study initiated in 2008 with support from the National Institute on Aging (NIA), designed to obtain comprehensive and uniform data on brain biology and function in individuals at risk for autosomal dominant AD (ADAD). ADAD gene mutations in the amyloid protein precursor (APP), presenilin 1 (PSEN1), or presenilin 2 (PSEN2) genes are deterministic causes of ADAD, with virtually full penetrance, and a predictable age at symptomatic onset. Data and specimens collected are derived from full clinical assessments, including neurologic and physical examinations, extensive cognitive batteries, structural and functional neuro-imaging, amyloid and tau pathological measures using positron emission tomography (PET), flurordeoxyglucose (FDG) PET, cerebrospinal fluid and blood collection (plasma, serum, and whole blood), extensive genetic and multi-omic analyses, and brain donation upon death. This comprehensive evaluation of the human nervous system is performed longitudinally in both mutation carriers and family non-carriers, providing one of the deepest and broadest evaluations of the human brain across decades and through AD progression. These extensive data sets and samples are available for researchers to address scientific questions on the human brain, aging, and AD.Item A peptide-centric quantitative proteomics dataset for the phenotypic assessment of Alzheimer's disease(Springer Nature, 2023-04-14) Merrihew, Gennifer E.; Park, Jea; Plubell, Deanna; Searle, Brian C.; Keene, C. Dirk; Larson, Eric B.; Bateman, Randall; Perrin, Richard J.; Chhatwal, Jasmeer P.; Farlow, Martin R.; McLean, Catriona A.; Ghetti, Bernardino; Newell, Kathy L.; Frosch, Matthew P.; Montine, Thomas J.; MacCoss, Michael J.; Neurology, School of MedicineAlzheimer's disease (AD) is a looming public health disaster with limited interventions. Alzheimer's is a complex disease that can present with or without causative mutations and can be accompanied by a range of age-related comorbidities. This diverse presentation makes it difficult to study molecular changes specific to AD. To better understand the molecular signatures of disease we constructed a unique human brain sample cohort inclusive of autosomal dominant AD dementia (ADD), sporadic ADD, and those without dementia but with high AD histopathologic burden, and cognitively normal individuals with no/minimal AD histopathologic burden. All samples are clinically well characterized, and brain tissue was preserved postmortem by rapid autopsy. Samples from four brain regions were processed and analyzed by data-independent acquisition LC-MS/MS. Here we present a high-quality quantitative dataset at the peptide and protein level for each brain region. Multiple internal and external control strategies were included in this experiment to ensure data quality. All data are deposited in the ProteomeXchange repositories and available from each step of our processing.Item Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease(Springer Nature, 2021-09-09) Gonneaud, Julie; Baria, Alex T.; Binette, Alexa Pichet; Gordon, Brian A.; Chhatwal, Jasmeer P.; Cruchaga, Carlos; Jucker, Mathias; Levin, Johannes; Salloway, Stephen; Farlow, Martin; Gauthier, Serge; Benzinger, Tammie L.S.; Morris, John C.; Bateman, Randall J.; Breitner, John C.S.; Poirier, Judes; Vachon-Presseau, Etienne; Villeneuve, Sylvia; Neurology, School of MedicineResting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer’s disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18–94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.Item Amyloid-Related Imaging Abnormalities in the DIAN-TU-001 Trial of Gantenerumab and Solanezumab: Lessons from a Trial in Dominantly Inherited Alzheimer Disease(Wiley, 2022) Joseph-Mathurin, Nelly; Llibre-Guerra, Jorge J.; Li, Yan; McCullough, Austin A.; Hofmann, Carsten; Wojtowicz, Jakub; Park, Ethan; Wang, Guoqiao; Preboske, Gregory M.; Wang, Qing; Gordon, Brian A.; Chen, Charles D.; Flores, Shaney; Aggarwal, Neelum T.; Berman, Sarah B.; Bird, Thomas D.; Black, Sandra E.; Borowski, Bret; Brooks, William S.; Chhatwal, Jasmeer P.; Clarnette, Roger; Cruchaga, Carlos; Fagan, Anne M.; Farlow, Martin; Fox, Nick C.; Gauthier, Serge; Hassenstab, Jason; Hobbs, Diana A.; Holdridge, Karen C.; Honig, Lawrence S.; Hornbeck, Russ C.; Hsiung, Ging-Yuek R.; Jack, Clifford R., Jr.; Jimenez-Velazquez, Ivonne Z.; Jucker, Mathias; Klein, Gregory; Levin, Johannes; Mancini, Michele; Masellis, Mario; McKay, Nicole S.; Mummery, Catherine J.; Ringman, John M.; Shimada, Hiroyuki; Snider, B. Joy; Suzuki, Kazushi; Wallon, David; Xiong, Chengjie; Yaari, Roy; McDade, Eric; Perrin, Richard J.; Bateman, Randall J.; Salloway, Stephen P.; Benzinger, Tammie L. S.; Clifford, David B.; Dominantly Inherited Alzheimer Network Trials Unit; Neurology, School of MedicineObjective: To determine the characteristics of participants with amyloid-related imaging abnormalities (ARIA) in a trial of gantenerumab or solanezumab in dominantly inherited Alzheimer disease (DIAD). Methods: 142 DIAD mutation carriers received either gantenerumab SC (n = 52), solanezumab IV (n = 50), or placebo (n = 40). Participants underwent assessments with the Clinical Dementia Rating® (CDR®), neuropsychological testing, CSF biomarkers, β-amyloid positron emission tomography (PET), and magnetic resonance imaging (MRI) to monitor ARIA. Cross-sectional and longitudinal analyses evaluated potential ARIA-related risk factors. Results: Eleven participants developed ARIA-E, including 3 with mild symptoms. No ARIA-E was reported under solanezumab while gantenerumab was associated with ARIA-E compared to placebo (odds ratio [OR] = 9.1, confidence interval [CI][1.2, 412.3]; p = 0.021). Under gantenerumab, APOE-ɛ4 carriers were more likely to develop ARIA-E (OR = 5.0, CI[1.0, 30.4]; p = 0.055), as were individuals with microhemorrhage at baseline (OR = 13.7, CI[1.2, 163.2]; p = 0.039). No ARIA-E was observed at the initial 225 mg/month gantenerumab dose, and most cases were observed at doses >675 mg. At first ARIA-E occurrence, all ARIA-E participants were amyloid-PET+, 60% were CDR >0, 60% were past their estimated year to symptom onset, and 60% had also incident ARIA-H. Most ARIA-E radiologically resolved after dose adjustment and developing ARIA-E did not significantly increase odds of trial discontinuation. ARIA-E was more frequently observed in the occipital lobe (90%). ARIA-E severity was associated with age at time of ARIA-E. Interpretation: In DIAD, solanezumab was not associated with ARIA. Gantenerumab dose over 225 mg increased ARIA-E risk, with additional risk for individuals APOE-ɛ4(+) or with microhemorrhage. ARIA-E was reversible on MRI in most cases, generally asymptomatic, without additional risk for trial discontinuation.Item Autosomal dominant and sporadic late onset Alzheimer's disease share a common in vivo pathophysiology(Oxford University Press, 2022) Morris, John C.; Weiner, Michael; Xiong, Chengjie; Beckett, Laurel; Coble, Dean; Saito, Naomi; Aisen, Paul S.; Allegri, Ricardo; Benzinger, Tammie L. S.; Berman, Sarah B.; Cairns, Nigel J.; Carrillo, Maria C.; Chui, Helena C.; Chhatwal, Jasmeer P.; Cruchaga, Carlos; Fagan, Anne M.; Farlow, Martin; Fox, Nick C.; Ghetti, Bernardino; Goate, Alison M.; Gordon, Brian A.; Graff-Radford, Neill; Day, Gregory S.; Hassenstab, Jason; Ikeuchi, Takeshi; Jack, Clifford R.; Jagust, William J.; Jucker, Mathias; Levin, Johannes; Massoumzadeh, Parinaz; Masters, Colin L.; Martins, Ralph; McDade, Eric; Mori, Hiroshi; Noble, James M.; Petersen, Ronald C.; Ringman, John M.; Salloway, Stephen; Saykin, Andrew J.; Schofield, Peter R.; Shaw, Leslie M.; Toga, Arthur W.; Trojanowski, John Q.; Vöglein, Jonathan; Weninger, Stacie; Bateman, Randall J.; Buckles, Virginia D.; Dominantly Inherited Alzheimer Network; Alzheimer’s Disease Neuroimaging and Initiative; Neurology, School of MedicineThe extent to which the pathophysiology of autosomal dominant Alzheimer's disease corresponds to the pathophysiology of 'sporadic' late onset Alzheimer's disease is unknown, thus limiting the extrapolation of study findings and clinical trial results in autosomal dominant Alzheimer's disease to late onset Alzheimer's disease. We compared brain MRI and amyloid PET data, as well as CSF concentrations of amyloid-β42, amyloid-β40, tau and tau phosphorylated at position 181, in 292 carriers of pathogenic variants for Alzheimer's disease from the Dominantly Inherited Alzheimer Network, with corresponding data from 559 participants from the Alzheimer's Disease Neuroimaging Initiative. Imaging data and CSF samples were reprocessed as appropriate to guarantee uniform pipelines and assays. Data analyses yielded rates of change before and after symptomatic onset of Alzheimer's disease, allowing the alignment of the ∼30-year age difference between the cohorts on a clinically meaningful anchor point, namely the participant age at symptomatic onset. Biomarker profiles were similar for both autosomal dominant Alzheimer's disease and late onset Alzheimer's disease. Both groups demonstrated accelerated rates of decline in cognitive performance and in regional brain volume loss after symptomatic onset. Although amyloid burden accumulation as determined by PET was greater after symptomatic onset in autosomal dominant Alzheimer's disease than in late onset Alzheimer's disease participants, CSF assays of amyloid-β42, amyloid-β40, tau and p-tau181 were largely overlapping in both groups. Rates of change in cognitive performance and hippocampal volume loss after symptomatic onset were more aggressive for autosomal dominant Alzheimer's disease participants. These findings suggest a similar pathophysiology of autosomal dominant Alzheimer's disease and late onset Alzheimer's disease, supporting a shared pathobiological construct.Item Awareness of Genetic Risk in the Dominantly Inherited Alzheimer Network (DIAN)(Wiley, 2020-01) Aschenbrenner, Andrew J.; James, Bryan D.; McDade, Eric; Wang, Guoqiao; Lim, Yen Ying; Benzinger, Tammie L.S.; Cruchaga, Carlos; Goate, Alison; Xiong, Chengjie; Perrin, Richard; Buckles, Virginia; Allegri, Ricardo; Berman, Sarah B.; Chhatwal, Jasmeer P.; Fagan, Anne; Farlow, Martin; O'Connor, Antoinette; Ghetti, Bernardino; Graff-Radford, Neill; Goldman, Jill; Gräber, Susanne; Karch, Celeste M.; Lee, Jae-Hong; Levin, Johannes; Martins, Ralph N.; Masters, Colin; Mori, Hiroshi; Noble, James; Salloway, Stephen; Schofield, Peter; Morris, John C.; Bateman, Randall J.; Hassenstab, Jason; Neurology, School of MedicineIntroduction: Although some members of families with autosomal dominant Alzheimer's disease mutations learn their mutation status, most do not. How knowledge of mutation status affects clinical disease progression is unknown. This study quantifies the influence of mutation awareness on clinical symptoms, cognition, and biomarkers. Methods: Mutation carriers and non-carriers from the Dominantly Inherited Alzheimer Network (DIAN) were stratified based on knowledge of mutation status. Rates of change on standard clinical, cognitive, and neuroimaging outcomes were examined. Results: Mutation knowledge had no associations with cognitive decline, clinical progression, amyloid deposition, hippocampal volume, or depression in either carriers or non-carriers. Carriers who learned their status mid-study had slightly higher levels of depression and lower cognitive scores. Discussion: Knowledge of mutation status does not affect rates of change on any measured outcome. Learning of status mid-study may confer short-term changes in cognitive functioning, or changes in cognition may influence the determination of mutation status.Item Comparing cortical signatures of atrophy between late-onset and autosomal dominant Alzheimer disease(Elsevier, 2020) Dincer, Aylin; Gordon, Brian A.; Hari-Raj, Amrita; Keefe, Sarah J.; Flores, Shaney; McKay, Nicole S.; Paulick, Angela M.; Shady Lewis, Kristine E.; Feldman, Rebecca L.; Hornbeck, Russ C.; Allegri, Ricardo; Ances, Beau M.; Berman, Sarah B.; Brickman, Adam M.; Brooks, William S.; Cash, David M.; Chhatwal, Jasmeer P.; Farlow, Martin R.; la Fougère, Christian; Fox, Nick C.; Fulham, Michael J.; Jack, Clifford R., Jr.; Joseph-Mathurin, Nelly; Karch, Celeste M.; Lee, Athene; Levin, Johannes; Masters, Colin L.; McDade, Eric M.; Oh, Hwamee; Perrin, Richard J.; Raji, Cyrus; Salloway, Stephen P.; Schofield, Peter R.; Su, Yi; Villemagne, Victor L.; Wang, Qing; Weiner, Michael W.; Xiong, Chengjie; Yakushev, Igor; Morris, John C.; Bateman, Randall J.; Benzinger, Tammie L.S.; Neurology, School of MedicineDefining a signature of cortical regions of interest preferentially affected by Alzheimer disease (AD) pathology may offer improved sensitivity to early AD compared to hippocampal volume or mesial temporal lobe alone. Since late-onset Alzheimer disease (LOAD) participants tend to have age-related comorbidities, the younger-onset age in autosomal dominant AD (ADAD) may provide a more idealized model of cortical thinning in AD. To test this, the goals of this study were to compare the degree of overlap between the ADAD and LOAD cortical thinning maps and to evaluate the ability of the ADAD cortical signature regions to predict early pathological changes in cognitively normal individuals. We defined and analyzed the LOAD cortical maps of cortical thickness in 588 participants from the Knight Alzheimer Disease Research Center (Knight ADRC) and the ADAD cortical maps in 269 participants from the Dominantly Inherited Alzheimer Network (DIAN) observational study. Both cohorts were divided into three groups: cognitively normal controls (nADRC = 381; nDIAN = 145), preclinical (nADRC = 153; nDIAN = 76), and cognitively impaired (nADRC = 54; nDIAN = 48). Both cohorts underwent clinical assessments, 3T MRI, and amyloid PET imaging with either 11C-Pittsburgh compound B or 18F-florbetapir. To generate cortical signature maps of cortical thickness, we performed a vertex-wise analysis between the cognitively normal controls and impaired groups within each cohort using six increasingly conservative statistical thresholds to determine significance. The optimal cortical map among the six statistical thresholds was determined from a receiver operating characteristic analysis testing the performance of each map in discriminating between the cognitively normal controls and preclinical groups. We then performed within-cohort and cross-cohort (e.g. ADAD maps evaluated in the Knight ADRC cohort) analyses to examine the sensitivity of the optimal cortical signature maps to the amyloid levels using only the cognitively normal individuals (cognitively normal controls and preclinical groups) in comparison to hippocampal volume. We found the optimal cortical signature maps were sensitive to early increases in amyloid for the asymptomatic individuals within their respective cohorts and were significant beyond the inclusion of hippocampus volume, but the cortical signature maps performed poorly when analyzing across cohorts. These results suggest the cortical signature maps are a useful MRI biomarker of early AD-related neurodegeneration in preclinical individuals and the pattern of decline differs between LOAD and ADAD.Item Comparison of amyloid accumulation between Down syndrome and autosomal-dominant Alzheimer disease(Wiley, 2022) Boerwinkle, Anna H.; Gordon, Brian A.; Wisch, Julie K.; Flores, Shaney; Henson, Rachel L.; Butt, Omar Hameed; Chen, Charles D.; Benzinger, Tammie L. S.; Fagan, Anne M.; Handen, Benjamin L.; Christian, Bradley T.; Head, Elizabeth; Mapstone, Mark; Klunk, William E.; Rafii, Michael S.; O’Bryant, Sid E.; Price, Julie C.; Schupf, Nicole; Laymon, Charles M.; Krinsky-McHale, Sharon J.; Lai, Florence; Rosas, H. Diana; Hartley, Sigan L.; Zaman, Shahid; Lott, Ira T.; Silverman, Wayne; Brickman, Adam M.; Lee, Joseph H.; Allegri, Ricardo Francisco; Berman, Sarah; Chhatwal, Jasmeer P.; Chui, Helena C.; Cruchaga, Carlos; Farlow, Martin R.; Fox, Nick C.; Goate, Alison; Day, Gregory S.; Graff-Radford, Neill R.; Jucker, Mathias; Lee, Jae-Hong; Levin, Johannes; Martins, Ralph N.; Mori, Hiroshi; Perrin, Richard J.; Salloway, Stephen P.; Sanchez-Valle, Raquel; Schofield, Peter R.; Xiong, Chengjie; Karch, Celeste M.; Hassenstab, Jason J.; McDade, Eric; Bateman, Randall J.; Ances, Beau M.; Neurology, School of MedicineBackground: Given the triplication of chromosome 21 and the location of the amyloid precursor protein gene on chromosome 21, almost all adults with Down syndrome (DS) develop Alzheimer disease (AD)-like pathology and dementia during their lifetime. Comparing amyloid accumulation in DS to autosomal dominant AD (ADAD), another genetic form of AD, may improve our understanding of early AD pathology development. Method: We assessed amyloid positron emission tomography (PET) imaging in 192 participants with DS and 33 sibling controls from the Alzheimer’s Biomarker Consortium-Down Syndrome (ABC-DS) and 265 mutation-carriers (MC) and 169 familial controls from the Dominantly Inherited Alzheimer Network (DIAN) (Table 1). We calculated regional standard uptake value ratios (SUVR) using a cerebellar cortex reference region and converted global amyloid burden SUVR to centiloids. We compared amyloid PET by cognitive status and estimated-years-to-symptom-onset (EYO). EYO was calculated for DIAN participants by subtracting their age from parental age of symptom onset and for ABC-DS participants by subtracting their age from 50.2 years, a published average age of symptom onset in a large sample of individuals with DS (Fortea et al., 2020). In a subset of participants, we assessed the relationship between amyloid PET and CSF Aβ42/40. Result: The relationship between CSF Aβ42/40 and amyloid PET was similar in DS and MC participants (Figure 1). We did not observe significant differences between MC and DS grouped by cognitive status (Figure 2). However, when assessed over EYO, global amyloid burden was significantly elevated in MC at EYO ≥ -23 but was not elevated in DS until EYO ≥ -15 (Figure 3). We observed early cortical and subcortical amyloid PET increases in both groups, but we also measured some regional differences in amyloid PET changes between MC and DS, specifically in the medial occipital region (Figure 4 and 5). Conclusion: These results demonstrate similarities in the relationship between amyloid biomarkers and the levels of amyloid accumulation in ADAD and DS. However, we also observed a 5-10 year delay and some regional differences in amyloid accumulation in DS. This is important for future clinical trials to consider when recruiting participants and determining treatment efficacy.Item Different rates of cognitive decline in autosomal dominant and late-onset Alzheimer disease(Wiley, 2022-10) Buckles, Virginia D.; Xiong , Chengjie; Bateman, Randall J.; Hassenstab, Jason; Allegri, Ricardo; Berman, Sarah B.; Chhatwal, Jasmeer P.; Danek, Adrian; Fagan, Anne M.; Ghetti, Bernardino; Goate, Alison; Graff-Radford, Neill; Jucker, Mathias; Levin, Johannes; Marcus, Daniel S.; Masters, Colin L.; McCue, Lena; McDade, Eric; Mori, Hiroshi; Moulder, Krista L.; Noble, James M.; Paumier , Katrina; Preische, Oliver; Ringman, John M.; Fox, Nick C.; Salloway, Stephen; Schofield, Peter R.; Martins, Ralph; Vöglein, Jonathan; Morris, John C.; Dominantly Inherited Alzheimer Network; Pathology and Laboratory Medicine, School of MedicineAs prevention trials advance with autosomal dominant Alzheimer disease (ADAD) participants, understanding the similarities and differences between ADAD and “sporadic” late-onset AD (LOAD) is critical to determine generalizability of findings between these cohorts. Cognitive trajectories of ADAD mutation carriers (MCs) and autopsy-confirmed LOAD individuals were compared to address this question. Longitudinal rates of change on cognitive measures were compared in ADAD MCs (n=310) and autopsy-confirmed LOAD participants (n=163) before and after symptom onset (estimated/observed). LOAD participants declined more rapidly in the presymptomatic (preclinical) period and performed more poorly at symptom onset than ADAD participants on a cognitive composite. After symptom onset, however, the younger ADAD MCs declined more rapidly. The similar but not identical cognitive trajectories (declining but at different rates) for ADAD and LOAD suggest common AD pathologies but with some differences.Item Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related to Alzheimer's Disease(American Chemical Society, 2022) Hubbard, Evan E.; Heil, Lilian R.; Merrihew, Gennifer E.; Chhatwal, Jasmeer P.; Farlow, Martin R.; McLean, Catriona A.; Ghetti, Bernardino; Newell, Kathy L.; Frosch, Matthew P.; Bateman, Randall J.; Larson, Eric B.; Keene, C. Dirk; Perrin, Richard J.; Montine, Thomas J.; MacCoss, Michael J.; Julian, Ryan R.; Pathology and Laboratory Medicine, School of MedicineOne of the potential benefits of using data-independent acquisition (DIA) proteomics protocols is that information not originally targeted by the study may be present and discovered by subsequent analysis. Herein we reanalyzed DIA data originally recorded for global proteomic analysis to look for isomerized peptides, which occur as a result of spontaneous chemical modifications to long-lived proteins. Examination of a large set of human brain samples revealed a striking relationship between Alzheimer’s disease (AD) status and isomerization of aspartic acid in a peptide from tau. Relative to controls, a surprising increase in isomer abundance was found in both autosomal dominant and sporadic AD samples. To explore potential mechanisms that might account for these observations, quantitative analysis of proteins related to isomerization repair and autophagy was performed. Differences consistent with reduced autophagic flux in AD-related samples relative to controls were found for numerous proteins, including most notably p62, a recognized indicator of autophagic inhibition. These results suggest, but do not conclusively demonstrate, that lower autophagic flux may be strongly associated with loss of function in AD brains. This study illustrates that DIA data may contain unforeseen results of interest, and may be particularly useful for pilot studies investigating new research directions. In this case, a promising target for future investigations into the therapy and prevention of AD has been identified.
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