Browsing by Author "Sohrabi, Hamid R."

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium
    (Alzheimer’s Association, 2022-09-22) de Erausquin, Gabriel A.; Snyder, Heather; Brugha, Traolach S.; Seshadri, Sudha; Carrillo, Maria; Sagar, Rajesh; Huang, Yueqin; Newton, Charles; Tartaglia, Carmela; Teunissen, Charlotte; Håkanson, Krister; Akinyemi, Rufus; Prasad, Kameshwar; D'Avossa, Giovanni; Gonzalez-Aleman, Gabriela; Hosseini, Akram; Vavougios, George D.; Sachdev, Perminder; Bankart, John; Ole Mors, Niels Peter; Lipton, Richard; Katz, Mindy; Fox, Peter T.; Katshu, Mohammad Zia; Iyengar, M. Sriram; Weinstein, Galit; Sohrabi, Hamid R.; Jenkins, Rachel; Stein, Dan J.; Hugon, Jacques; Mavreas, Venetsanos; Blangero, John; Cruchaga, Carlos; Krishna, Murali; Wadoo, Ovais; Becerra, Rodrigo; Zwir, Igor; Longstreth, William T.; Kroenenberg, Golo; Edison, Paul; Mukaetova-Ladinska, Elizabeta; Staufenberg, Ekkehart; Figueredo-Aguiar, Mariana; Yécora, Agustín; Vaca, Fabiana; Zamponi, Hernan P.; Lo Re, Vincenzina; Majid, Abdul; Sundarakumar, Jonas; Gonzalez, Hector M.; Geerlings, Mirjam I.; Skoog, Ingmar; Salmoiraghi, Alberto; Boneschi, Filippo Martinelli; Patel, Vibuthi N.; Santos, Juan M.; Arroyo, Guillermo Rivera; Moreno, Antonio Caballero; Felix, Pascal; Gallo, Carla; Arai, Hidenori; Yamada, Masahito; Iwatsubo, Takeshi; Sharma, Malveeka; Chakraborty, Nandini; Ferreccio, Catterina; Akena, Dickens; Brayne, Carol; Maestre, Gladys; Williams Blangero, Sarah; Brusco, Luis I.; Siddarth, Prabha; Hughes, Timothy M.; Ramírez Zuñiga, Alfredo; Kambeitz, Joseph; Laza, Agustin Ruiz; Allen, Norrina; Panos, Stella; Merrill, David; Ibáñez, Agustín; Tsuang, Debby; Valishvili, Nino; Shrestha, Srishti; Wang, Sophia; Padma, Vasantha; Anstey, Kaarin J.; Ravindrdanath, Vijayalakshmi; Blennow, Kaj; Mullins, Paul; Łojek, Emilia; Pria, Anand; Mosley, Thomas H.; Gowland, Penny; Girard, Timothy D.; Bowtell, Richard; Vahidy, Farhaan S.; Psychiatry, School of Medicine
    Introduction: Coronavirus disease 2019 (COVID-19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID-19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID-19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID-19 to neurologic illness, both short and long term. Methods: This article describes what is known so far in terms of links among COVID-19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS-CoV-2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions. Results: Successful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe. Discussion: The Alzheimer's Association Global Consortium harmonized methodology is proposed as a model to study long-term neurocognitive sequelae of SARS-CoV-2 infection. Key points: The following review describes what is known so far in terms of molecular and epidemiological links among COVID-19, the brain, neurological symptoms, and AD and related dementias (ADRD)The primary objective of this large-scale collaboration is to clarify the pathogenesis of ADRD and to advance our understanding of the impact of a neurotropic virus on the long-term risk of cognitive decline and other CNS sequelae. No available evidence supports the notion that cognitive impairment after SARS-CoV-2 infection is a form of dementia (ADRD or otherwise). The longitudinal methodologies espoused by the consortium are intended to provide data to answer this question as clearly as possible controlling for possible confounders. Our specific hypothesis is that SARS-CoV-2 triggers ADRD-like pathology following the extended olfactory cortical network (EOCN) in older individuals with specific genetic susceptibility. The proposed harmonization strategies and flexible study designs offer the possibility to include large samples of under-represented racial and ethnic groups, creating a rich set of harmonized cohorts for future studies of the pathophysiology, determinants, long-term consequences, and trends in cognitive aging, ADRD, and vascular disease. We provide a framework for current and future studies to be carried out within the Consortium. and offers a "green paper" to the research community with a very broad, global base of support, on tools suitable for low- and middle-income countries aimed to compare and combine future longitudinal data on the topic. The Consortium proposes a combination of design and statistical methods as a means of approaching causal inference of the COVID-19 neuropsychiatric sequelae. We expect that deep phenotyping of neuropsychiatric sequelae may provide a series of candidate syndromes with phenomenological and biological characterization that can be further explored. By generating high-quality harmonized data across sites we aim to capture both descriptive and, where possible, causal associations.
  • Thumbnail Image
    Item
    Decreased body mass index in the preclinical stage of autosomal dominant Alzheimer's disease
    (SpringerNature, 2017-04-27) Müller, Stephan; Preische, Oliver; Sohrabi, Hamid R.; Gräber, Susanne; Jucker, Mathias; Dietzsch, Janko; Ringman, Ralph N.; Martins, Ralph N.; McDade, Eric; Schofield, Peter R.; Ghetti, Bernardino; Rossor, Martin; Graff-Radford, Neill R.; Levin, Johannes; Galasko, Douglas; Quaid, Kimberly A.; Salloway, Stephen; Xiong, Chengjie; Benzinger, Tammie; Buckles, Virginia; Masters, Colin L.; Sperling, Reisa; Bateman, Randall J.; Morris, John C.; Laske, Christoph; Department of Pathology and Laboratory Medicine, School of Medicine
    The relationship between body-mass index (BMI) and Alzheimer´s disease (AD) has been extensively investigated. However, BMI alterations in preclinical individuals with autosomal dominant AD (ADAD) have not yet been investigated. We analyzed cross-sectional data from 230 asymptomatic members of families with ADAD participating in the Dominantly Inherited Alzheimer Network (DIAN) study including 120 preclinical mutation carriers (MCs) and 110 asymptomatic non-carriers (NCs). Differences in BMI and their relation with cerebral amyloid load and episodic memory as a function of estimated years to symptom onset (EYO) were analyzed. Preclinical MCs showed significantly lower BMIs compared to NCs, starting 11.2 years before expected symptom onset. However, the BMI curves begun to diverge already at 17.8 years before expected symptom onset. Lower BMI in preclinical MCs was significantly associated with less years before estimated symptom onset, higher global Aβ brain burden, and with lower delayed total recall scores in the logical memory test. The study provides cross-sectional evidence that weight loss starts one to two decades before expected symptom onset of ADAD. Our findings point toward a link between the pathophysiology of ADAD and disturbance of weight control mechanisms. Longitudinal follow-up studies are warranted to investigate BMI changes over time.
  • Thumbnail Image
    Item
    Diagnostic Value of Subjective Memory Complaints Assessed with a Single Item in Dominantly Inherited Alzheimer’s Disease: Results of the DIAN Study
    (Hindawi, 2015) Laske, Christoph; Sohrabi, Hamid R.; Jasielec, Mateusz S.; Müller, Stephan; Koehler, Niklas K.; Gräber, Susanne; Förster, Stefan; Drzezga, Alexander; Mueller-Sarnowski, Felix; Danek, Adrian; Jucker, Mathias; Bateman, Randall J.; Buckles, Virginia; Saykin, Andrew J.; Martins, Ralph N.; Morris, John C.; Indiana Alzheimer Disease Center, Indiana University School of Medicine
    Objective. We examined the diagnostic value of subjective memory complaints (SMCs) assessed with a single item in a large cross-sectional cohort consisting of families with autosomal dominant Alzheimer’s disease (ADAD) participating in the Dominantly Inherited Alzheimer Network (DIAN). Methods. The baseline sample of 183 mutation carriers (MCs) and 117 noncarriers (NCs) was divided according to Clinical Dementia Rating (CDR) scale into preclinical (CDR 0; MCs: ; NCs: ), early symptomatic (CDR 0.5; MCs: ; NCs: ), and dementia stage (CDR ≥ 1; MCs: ; NCs: ). These groups were subdivided by the presence or absence of SMCs. Results. At CDR 0, SMCs were present in 12.1% of MCs and 9.2% of NCs . At CDR 0.5, SMCs were present in 66.7% of MCs and 62.5% of NCs . At CDR ≥ 1, SMCs were present in 96.4% of MCs. SMCs in MCs were significantly associated with CDR, logical memory scores, Geriatric Depression Scale, education, and estimated years to onset. Conclusions. The present study shows that SMCs assessed by a single-item scale have no diagnostic value to identify preclinical ADAD in asymptomatic individuals. These results demonstrate the need of further improvement of SMC measures that should be examined in large clinical trials.
  • Thumbnail Image
    Item
    Pattern and degree of individual brain atrophy predicts dementia onset in dominantly inherited Alzheimer's disease
    (Wiley, 2021-07-05) Keret, Ophir; Staffaroni, Adam M.; Ringman, John M.; Cobigo, Yann; Goh, Sheng-Yang M.; Wolf, Amy; Allen, Isabel Elaine; Salloway, Stephen; Chhatwal, Jasmeer; Brickman, Adam M.; Reyes-Dumeyer, Dolly; Bateman, Randal J.; Benzinger, Tammie L.S.; Morris, John C.; Ances, Beau M.; Joseph-Mathurin, Nelly; Perrin, Richard J.; Gordon, Brian A.; Levin, Johannes; Vöglein, Jonathan; Jucker, Mathias; la Fougère, Christian; Martins, Ralph N.; Sohrabi, Hamid R.; Taddei, Kevin; Villemagne, Victor L.; Schofield, Peter R.; Brooks, William S.; Fulham, Michael; Masters, Colin L.; Ghetti, Bernardino; Saykin, Andrew J.; Jack, Clifford R.; Graff-Radford, Neill R.; Weiner, Michael; Cash, David M.; Allegri, Ricardo F.; Chrem, Patricio; Yi, Su; Miller, Bruce L.; Rabinovici, Gil D.; Rosen, Howard J.; Pathology and Laboratory Medicine, School of Medicine
    Introduction: Asymptomatic and mildly symptomatic dominantly inherited Alzheimer's disease mutation carriers (DIAD-MC) are ideal candidates for preventative treatment trials aimed at delaying or preventing dementia onset. Brain atrophy is an early feature of DIAD-MC and could help predict risk for dementia during trial enrollment. Methods: We created a dementia risk score by entering standardized gray-matter volumes from 231 DIAD-MC into a logistic regression to classify participants with and without dementia. The score's predictive utility was assessed using Cox models and receiver operating curves on a separate group of 65 DIAD-MC followed longitudinally. Results: Our risk score separated asymptomatic versus demented DIAD-MC with 96.4% (standard error = 0.02) and predicted conversion to dementia at next visit (hazard ratio = 1.32, 95% confidence interval [CI: 1.15, 1.49]) and within 2 years (area under the curve = 90.3%, 95% CI [82.3%-98.2%]) and improved prediction beyond established methods based on familial age of onset. Discussion: Individualized risk scores based on brain atrophy could be useful for establishing enrollment criteria and stratifying DIAD-MC participants for prevention trials.