Evidence map›Paper›PMID 36909528›Full record

ArticlebioRxiv : the preprint server for biology2023

Detecting the effect of genetic diversity on brain composition in an Alzheimer's disease mouse model.

Brianna Gurdon, Sharon C Yates, Gergely Csucs, Nicolaas E Groeneboom, Niran Hadad, Maria Telpoukhovskaia, Andrew Ouellette, Tionna Ouellette, Kristen O'Connell, Surjeet Singh and 9 more

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In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Brianna GurdonThe Jackson Laboratory, Bar Harbor, ME.
Sharon C YatesNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Gergely CsucsNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Nicolaas E GroeneboomNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Niran HadadThe Jackson Laboratory, Bar Harbor, ME.
Maria TelpoukhovskaiaThe Jackson Laboratory, Bar Harbor, ME.
Andrew OuelletteThe Jackson Laboratory, Bar Harbor, ME.
Tionna OuelletteThe Jackson Laboratory, Bar Harbor, ME.
Kristen O'ConnellThe Jackson Laboratory, Bar Harbor, ME.
Surjeet SinghThe Jackson Laboratory, Bar Harbor, ME.
Tom MurdyThe Jackson Laboratory, Bar Harbor, ME.
Erin MerchantThe Jackson Laboratory, Bar Harbor, ME.
Ingvild BjerkeNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Heidi KlevenNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Ulrike SchlegelNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Trygve B LeergaardNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Maja A PuchadesNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Jan G BjaalieNeural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Catherine C KaczorowskiThe Jackson Laboratory, Bar Harbor, ME.

Funding

Systems Genetics Analysis of Resilience to Alzheimers diseaseR01AG057914 · NIA · JACKSON LABORATORY · PI KACZOROWSKI, CATHERINE COOK · 2017 to 2021
$7.0M
Training Program in Precision Genetics of Aging, Alzheimer's Disease and Related DementiasT32AG062409 · NIA · JACKSON LABORATORY · PI Gareth R Howell, KRISTEN M O'CONNELL · 2020 to 2026
$1.5M
NIA NIH HHS R01 AG057914NIA NIH HHS T32 AG062409
6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by neurodegeneration, pathology accumulation, and progressive cognitive decline. There is significant variation in age at onset and severity of symptoms highlighting the importance of genetic diversity in the study of AD. To address this, we analyzed cell and pathology composition of 6- and 14-month-old AD-BXD mouse brains using the semi-automated workflow (QUINT); which we expanded to allow for nonlinear refinement of brain atlas-registration, and quality control assessment of atlas-registration and brain section integrity. Near global age-related increases in microglia, astrocyte, and amyloid-beta accumulation were measured, while regional variation in neuron load existed among strains. Furthermore, hippocampal immunohistochemistry analyses were combined with bulk RNA-sequencing results to demonstrate the relationship between cell composition and gene expression. Overall, the additional functionality of the QUINT workflow delivers a highly effective method for registering and quantifying cell and pathology changes in diverse disease models.

Indexed as

Alzheimer’s diseasecell compositiondeconvolutiongenetic diversityimmunohistochemistrymouse brainneurodegenerationreference atlas

Identifiers

PMID36909528
PMCPMC10002670

What Socratic holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read68
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 Socratic graph.