Evidence map›Paper›PMID 31602409›Full record

ArticleCommunications biology2019

3D mapping reveals network-specific amyloid progression and subcortical susceptibility in mice.

Rebecca Gail Canter, Wen-Chin Huang, Heejin Choi, Jun Wang, Lauren Ashley Watson, Christine G Yao, Fatema Abdurrob, Stephanie M Bousleiman, Jennie Z Young, David A Bennett and 3 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 90 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

13 authors at 4 institutions in 1 country.

Rebecca Gail Canter *1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
Wen-Chin Huang *1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
Heejin Choi *2Institute for Medial Engineering and Science (IMES), MIT, Cambridge, MA USA.ORCID 0000-0003-3681-7410
Jun Wang1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
Lauren Ashley Watson1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
Christine G Yao1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
Fatema Abdurrob1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
Stephanie M Bousleiman1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
Jennie Z Young1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
David A Bennett3Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL USA.
Ivana Delalle4Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA USA.
Kwanghun Chung1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.ORCID 0000-0002-8167-3340
Li-Huei Tsai1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA USA.
McGovern Institute for Brain Research · USBoston University · USMassachusetts Institute of Technology · USRush University Medical Center · US

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Risk Factors, Pathology, and Clinical Expressions of ADRF1AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2014 to 2014
$6.0M
Cortical circuits and information flow during memory-guided perceptual decisionsU01NS090473 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SUR, MRIGANKA · 2014 to 2016
$2.4M
Examination of neural circuits underlying mood disorders in Alzheimer?s diseaseRF1AG047661 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TSAI, LI-HUEI, TYE, KAY MAXINE · 2014 to 2014
$1.7M
NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG015819NIA NIH HHS RF1 AG015819NIA NIH HHS RF1 AG047661NINDS NIH HHS U01 NS090473
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive, neurodegenerative dementia with no cure. Prominent hypotheses suggest accumulation of beta-amyloid (Aβ) contributes to neurodegeneration and memory loss, however identifying brain regions with early susceptibility to Aβ remains elusive. Using SWITCH to immunolabel intact brain, we created a spatiotemporal map of Aβ deposition in the 5XFAD mouse. We report that subcortical memory structures show primary susceptibility to Aβ and that aggregates develop in increasingly complex networks with age. The densest early Aβ occurs in the mammillary body, septum, and subiculum- core regions of the Papez memory circuit. Previously, early mammillary body dysfunction in AD had not been established. We also show that Aβ in the mammillary body correlates with neuronal hyper-excitability and that modulation using a pharmacogenetic approach reduces Aβ deposition. Our data demonstrate large-tissue volume processing techniques can enhance biological discovery and suggest that subcortical susceptibility may underlie early brain alterations in AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAmyloidosisAnimalsBrainDisease Models, AnimalDisease ProgressionHumansMice, TransgenicAmyloid beta-PeptidesAlzheimer's diseaseNeural circuits

Identifiers

PMID31602409
PMCPMC6778135
OpenAlexW2979071012

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.