Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium.
Gabriel A de ErausquinHeather SnyderTraolach S BrughaSudha SeshadriMaria CarrilloRajesh SagarYueqin HuangCharles NewtonCarmela TartagliaCharlotte TeunissenKrister HåkansonRufus AkinyemiKameshwar PrasadGiovanni D'AvossaGabriela Gonzalez-AlemanAkram HosseiniGeorge D VavougiosPerminder SachdevJohn BankartNiels Peter Ole MorsRichard LiptonMindy KatzPeter T FoxMohammad Zia KatshuM Sriram IyengarGalit WeinsteinHamid R SohrabiRachel JenkinsDan J SteinJacques HugonVenetsanos MavreasJohn BlangeroCarlos CruchagaMurali KrishnaOvais WadooRodrigo BecerraIgor ZwirWilliam T LongstrethGolo KroenenbergPaul EdisonElizabeta Mukaetova-LadinskaEkkehart StaufenbergMariana Figueredo-AguiarAgustín YécoraFabiana VacaHernan P ZamponiVincenzina Lo ReAbdul MajidJonas SundarakumarHector M GonzalezMirjam I GeerlingsIngmar SkoogAlberto SalmoiraghiFilippo Martinelli BoneschiVibuthi N PatelJuan M SantosGuillermo Rivera ArroyoAntonio Caballero MorenoPascal FelixCarla GalloHidenori AraiMasahito YamadaTakeshi IwatsuboMalveeka SharmaNandini ChakrabortyCatterina FerreccioDickens AkenaCarol BrayneGladys MaestreSarah Williams BlangeroLuis I BruscoPrabha SiddarthTimothy M HughesAlfredo Ramírez ZuñigaJoseph KambeitzAgustin Ruiz LazaNorrina AllenStella PanosDavid MerrillAgustín IbáñezDebby TsuangNino ValishviliSrishti ShresthaSophia WangVasantha PadmaKaarin J AnsteyVijayalakshmi RavindrdanathKaj BlennowPaul MullinsEmilia ŁojekAnand PriaThomas H MosleyPenny GowlandTimothy D GirardRichard BowtellFarhaan S VahidyPublished in: Alzheimer's & dementia (New York, N. Y.) (2022)
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.
Keyphrases
- sars cov
- cognitive decline
- respiratory syndrome coronavirus
- mild cognitive impairment
- cognitive impairment
- electronic health record
- current status
- coronavirus disease
- cross sectional
- big data
- healthcare
- randomized controlled trial
- mental health
- case control
- physical activity
- high throughput
- white matter
- data analysis
- genome wide
- machine learning
- resting state
- copy number
- deep learning
- depressive symptoms
- subarachnoid hemorrhage