Evidence map›Paper›PMID 37392805›Full record

ArticleMagnetic resonance imaging2023

Quantitative microglia morphological features correlate with diffusion MRI in 2-month-old 3xTg-AD mice.

Maria Fatima Falangola, Siddhartha Dhiman, Joshua Voltin, Jens H Jensen

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Complement receptorBrain communications · 2025
    Article
  4. Mean Kärger Model Water Exchange Rate in Brain.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
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.

Maria Fatima FalangolaDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA. Electronic address: falangol@musc.edu.
Siddhartha DhimanDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA.
Joshua VoltinDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA.
Jens H JensenDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Funding

Diffusion and Functional MRI Monitoring of Therapy Response in Alzheimer’s Disease Mouse ModelR01AG057602 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MARIA F FALANGOLA, JENS H JENSEN · 2023 to 2026
$2.7M
Assessing Brain Microstructure in Alzheimer's Disease with Advanced Diffusion MRIRF1AG057602 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FALANGOLA, MARIA F, JENSEN, JENS H · 2018 to 2018
$2.1M
NIA NIH HHS R01 AG057602NIA NIH HHS RF1 AG057602
6 · The paper itself

Abstract

Microglia (MØ) morphologies are closely related to their functional state and have a central role in the maintenance of brain homeostasis. It is well known that inflammation contributes to neurodegeneration at later stages of Alzheimer's Disease, but it is not clear which role MØ-mediated inflammation may play earlier in the disease pathogenesis. We have previously reported that diffusion MRI (dMRI) is able to detect early myelin abnormalities present in 2-month-old 3xTg-AD (TG) mice; since MØ actively participate in regulating myelination, the goal of this study was to assess quantitatively MØ morphological characteristics and its association with dMRI metrics patterns in 2-month-old 3xTg-AD mice. Our results show that, even at this young age (2-month-old), TG mice have statistically significantly more MØ cells, which are overall smaller and more complex, compared with age-matched normal control mice (NC). Our results also confirm that myelin basic protein is reduced in TG mice, particularly in fimbria (Fi) and cortex. Additionally, MØ morphological characteristics, in both groups, correlate with several dMRI metrics, depending on the brain region examined. For example, the increase in MØ number correlated with higher radial diffusivity (r = 0.59, p = 0.008), lower fractional anisotropy (FA) (r = -0.47, p = 0.03), and lower kurtosis fractional anisotropy (KFA) (r = -0.55, p = 0.01) in the CC. Furthermore, smaller MØ cells correlate with higher axial diffusivity) in the HV (r = 0.49, p = 0.03) and Sub (r = 0.57, p = 0.01). Our findings demonstrate, for the first time, that MØ proliferation/activation are a common and widespread feature in 2-month-old 3xTg-AD mice and suggest that dMRI measures are sensitive to these MØ alterations, which are associated in this model with myelin dysfunction and microstructural integrity abnormalities.

Indexed as

Alzheimer DiseaseWhite MatterAnimalsBrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingMiceMice, TransgenicMicroglia3xTg-AD mouseAlzheimer's diseaseDiffusional kurtosis imagingDiffusion MRIMicrogliaWhite matter

Identifiers

PMID37392805
PMCPMC10528126

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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.