Human Herpesvirus 6 Detection in Alzheimer's Disease Cases and Controls across Multiple Cohorts.


Journal

Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320

Informations de publication

Date de publication:
18 03 2020
Historique:
received: 23 09 2019
revised: 11 11 2019
accepted: 26 12 2019
pubmed: 28 1 2020
medline: 15 7 2020
entrez: 28 1 2020
Statut: ppublish

Résumé

The interplay between viral infection and Alzheimer's disease (AD) has long been an area of interest, but proving causality has been elusive. Several recent studies have renewed the debate concerning the role of herpesviruses, and human herpesvirus 6 (HHV-6) in particular, in AD. We screened for HHV-6 detection across three independent AD brain repositories using (1) RNA sequencing (RNA-seq) datasets and (2) DNA samples extracted from AD and non-AD control brains. The RNA-seq data were screened for pathogens against taxon references from over 25,000 microbes, including 118 human viruses, whereas DNA samples were probed for PCR reactivity to HHV-6A and HHV-6B. HHV-6 demonstrated little specificity to AD brains over controls by either method, whereas other viruses, such as Epstein-Barr virus (EBV) and cytomegalovirus (CMV), were detected at comparable levels. These direct methods of viral detection do not suggest an association between HHV-6 and AD.

Identifiants

pubmed: 31983538
pii: S0896-6273(19)31097-9
doi: 10.1016/j.neuron.2019.12.031
pmc: PMC7182308
mid: NIHMS1569250
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1027-1035.e2

Subventions

Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG017917
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010161
Pays : United States
Organisme : Intramural NIH HHS
ID : Z99 NS999999
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG015819
Pays : United States

Informations de copyright

Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Interests The authors declare no competing interests.

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Auteurs

Mary Alice Allnutt (MA)

Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20814, USA.

Kory Johnson (K)

Bioinformatics Section, Information Technology & Bioinformatics Program, Division of Intramural Research (DIR), National Institute of Neurological Disorders and Stroke/National Institute of Health, Bethesda, MD 20814, USA.

David A Bennett (DA)

Alzheimer Disease Center, RUSH University, Chicago, IL 60612, USA.

Sarah M Connor (SM)

Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.

Juan C Troncoso (JC)

Department of Pathology (Neuropathology), Johns Hopkins University Medical Center, Baltimore, MD 21205, USA.

Olga Pletnikova (O)

Department of Pathology (Neuropathology), Johns Hopkins University Medical Center, Baltimore, MD 21205, USA.

Marilyn S Albert (MS)

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Susan M Resnick (SM)

Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.

Sonja W Scholz (SW)

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20814, USA.

Philip L De Jager (PL)

Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.

Steven Jacobson (S)

Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20814, USA. Electronic address: jacobsons@ninds.nih.gov.

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Classifications MeSH