Evidence map›Paper›PMID 34171228›Full record

ArticleCell systems2021

Dysregulation of the secretory pathway connects Alzheimer's disease genetics to aggregate formation.

Chih-Chung Kuo, Austin W T Chiang, Hratch M Baghdassarian, Nathan E Lewis

Open access · greenAbstract read
In one paragraph

Article in Cell systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 18 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

4 authors at 2 institutions in 1 country.

Chih-Chung KuoDepartment of Bioengineering, University of California, San Diego, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at UC San Diego, San Diego, La Jolla, CA 92093, USA.
Austin W T ChiangNovo Nordisk Foundation Center for Biosustainability at UC San Diego, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, San Diego, La Jolla, CA 92093, USA.
Hratch M BaghdassarianDepartment of Pediatrics, University of California, San Diego, San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, San Diego, La Jolla, CA 92093, USA.
Nathan E LewisDepartment of Bioengineering, University of California, San Diego, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at UC San Diego, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, San Diego, La Jolla, CA 92093, USA. Electronic address: nlewisres@ucsd.edu.
Foundation Center · USUniversity of California San Diego · US

Funding

Alzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
Genetic Epidemiology of Cognitive Decline in an Aging Population SampleR01AG030146 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI EVANS, DENIS A · 2007 to 2018
$6.2M
Unraveling the mammalian secretory pathway through systems biology and algorithm developmentR35GM119850 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEWIS, NATHAN ENOCH · 2016 to 2025
$4.3M
Exploring the Role of the Brain Transcriptome in Cognitive DeclineR01AG036836 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI DE JAGER, PHILIP L · 2011 to 2014
$2.9M
NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG030146NIA NIH HHS R01 AG036836NIA NIH HHS U01 AG032984NIA NIH HHS U01 AG046152NIGMS NIH HHS R35 GM119850
6 · The paper itself

Abstract

Amyloid disorders such as Alzheimer's disease (AD) involve the aggregation of secreted proteins. However, it is largely unclear how secretory-pathway proteins contribute to amyloid formation. We developed a systems biology framework integrating expression data with protein-protein interaction networks to estimate a tissue's fitness for producing specific secreted proteins and analyzed the fitness of the secretory pathway of various brain regions and cell types for synthesizing the AD-associated amyloid precursor protein (APP). While key amyloidogenic pathway components were not differentially expressed in AD brains, we found Aβ deposition correlates with systemic down- and upregulation of the secretory-pathway components proximal to APP and amyloidogenic secretases, respectively, in AD. Our analyses suggest that perturbations from three AD risk loci cascade through the APP secretory-support network and into the endocytosis pathway, connecting amyloidogenesis to dysregulation of secretory-pathway components supporting APP and suggesting novel therapeutic targets for AD. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAmyloid Precursor Protein SecretasesHumansSecretory PathwayAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAmyloid Precursor Protein Secretaseslate-onset Alzheimer’sprotein secretory pathwaysystems biology

Identifiers

PMID34171228
PMCPMC8505362
OpenAlexW3174139171

What OpenQuestion holds

Textmetadata
LicenceTDM
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.