Evidence map›Paper›PMID 32751069›Full record

ReviewJournal of personalized medicine2020

The Viral Hypothesis in Alzheimer's Disease: Novel Insights and Pathogen-Based Biomarkers.

Sean X Naughton, Urdhva Raval, Giulio M Pasinetti

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Sean X NaughtonDepartment of Neurology, Mount Sinai School of Medicine, New York, NY 10029, USA.ORCID 0000-0003-3807-9167
Urdhva RavalDepartment of Neurology, Mount Sinai School of Medicine, New York, NY 10029, USA.ORCID 0000-0002-2495-9932
Giulio M PasinettiDepartment of Neurology, Mount Sinai School of Medicine, New York, NY 10029, USA.ORCID 0000-0002-1524-5196
Icahn School of Medicine at Mount Sinai · USJames J. Peters VA Medical Center · US

Funding

Pasinetti: Project 3; Role of Microbiome in Promotion of Cognitive and Psychological Resilience (Faith)P50AT008661 · NCCIH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PASINETTI, GIULIO MARIA · 2015 to 2019
$11.2M
NCCIH NIH HHS 3P50AT008661-05S1
6 · The paper itself

Abstract

Early diagnosis of Alzheimer's disease (AD) and the identification of significant risk factors are necessary to better understand disease progression, and to develop intervention-based therapies prior to significant neurodegeneration. There is thus a critical need to establish biomarkers which can predict the risk of developing AD before the onset of cognitive decline. A number of studies have indicated that exposure to various microbial pathogens can accelerate AD pathology. Additionally, several studies have indicated that amyloid-β possess antimicrobial properties and may act in response to infection as a part of the innate immune system. These findings have led some to speculate that certain types of infections may play a significant role in AD pathogenesis. In this review, we will provide an overview of studies which suggest pathogen involvement in AD. Additionally, we will discuss a number of pathogen-associated biomarkers which may be effective in establishing AD risk. Infections that increase the risk of AD represent a modifiable risk factor which can be treated with therapeutic intervention. Pathogen-based biomarkers may thus be a valuable tool for evaluating and decreasing AD risk across the population.

Indexed as

Alzheimer’s diseasebacteriadementiavirus

Identifiers

PMID32751069
PMCPMC7563893
OpenAlexW3046209347

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.