Cited by 210Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatmentsNeurological Disease Mechanisms and Treatments

Transcriptional profiling of CD11c-positive microglia accumulating around amyloid plaques in a mouse model for Alzheimer’s disease

Open access
Kamphuis, Willem, Kooijman, Lieneke, Schetters, Sjoerd, Orre, Marie, Hol, Elly M.·2016·Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease

Abstract

Amyloid plaques in Alzheimer's disease (AD) mice are surrounded by activated microglia. The functional role of microglia activation in AD is not well understood; both detrimental and beneficial effects on AD progression have been reported. Here we show that the population of activated microglia in the cortex of the APPswe/PS1dE9 mouse AD model is divided into a CD11c-positive and a CD11c-negative subpopulation. Cd11c transcript levels and number of CD11c-positive microglia increase sharply when plaques start to occur and both parameters continue to rise in parallel with the age-related increasing plaque load. CD11c cells are localized near plaques at all stages of the disease development and constitute 23% of all activated microglia. No differences between these two populations were found in terms of proliferation, immunostaining intensity of Iba1, MHC class II, CD45, or immunoproteasome subunit LMP7/β5i. Comparison of the transcriptome of isolated CD11c-positive and CD11c-negative microglia from the cortex of aged APPswe/PS1dE9 with WT microglia showed that gene expression changes had a similar general pattern. However, a differential expression was found for genes involved in immune signaling (Il6, S100a8/Mrp8, S100a9/Mrp14, Spp1, Igf1), lysosome activation, and carbohydrate- and cholesterol/lipid-metabolism (Apoe). In addition, the increased expression of Gpnmb/DC-HIL, Tm7sf4/DC-STAMP, and Gp49a/Lilrb4, suggests a suppressive/tolerizing influence of CD11c cells. We show that amyloid plaques in the APP/PS1 model are associated with two distinct populations of activated microglia: CD11c-positive and CD11c-negative cells. Our findings imply that CD11c-positive microglia can potentially counteract amyloid deposition via increased Aβ-uptake and degradation, and by containing the inflammatory response.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.bbadis.2016.07.007

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Twenty-one core genes associated with the XO4+/XO4− phenotype were identified as altered in several studies of neurodegenerative disease-associated microglia (DAM).

    “Twenty one core genes associated with XO4+/XO4− phenotype were identified as altered in several studies of neurodegenerative disease-associated microglia (DAM)13,14,32”

    From Transcriptional signature in microglia associated with Aβ plaque phagocytosis (2021) · cites this paper as [32]

    Section 3.4 reports a cluster of genes consistently upregulated across several mouse models of chronic microglial activation. Section 3.6 reports increased expression for 21 tested genes in CD11c versus CD11b cells, but those are not presented as 21 core genes of an XO4+/XO4− phenotype. The copy does not establish the claimed XO4-based, cross-study set. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The XO4+-associated gene expression signature identified here partially overlaps with other microglia signatures obtained from aged, APP/PS1, 5xFAD or tau model mice.

    “The XO4+-associated gene expression signature identified here partially overlaps with other microglia signatures obtained from aged, APP/PS1, 5xFAD or tau model mice13,14,31–33”
  • Activated microglia in Alzheimer's disease show increased proliferation and increased expression of inflammatory markers such as CD36, CD14, CD11c, MHC-II, and iNOS.

    “activated microglia in AD show increased proliferation (63,64) and increased expression of inflammatory markers such as CD36, CD14, CD11c, MHC-II, and iNOS (65,66)”

    From Microglia in Alzheimer's disease (2017) · cites this paper as [65]

  • Analyzing activated microglia as a separate population or by single-cell RNA-sequencing reveals subtle (two- to threefold) increases in Trem2 and Tyrobp mRNAs.

    “Analyzing activated microglia as a separate population or by single-cell RNA-sequencing also reveals subtle (two- to threefold) increases in Trem2 and Tyrobp mRNAs (Kamphuis et al., 2016; Keren-Shaul et al., 2017; Yin et al., 2017).”

    From Microglia in Alzheimer’s disease (2018) · cites this paper as Kamphuis et al., 2016

  • Transcriptomic studies of microglia in an Alzheimer disease mouse model and in human Alzheimer disease found a proinflammatory signature in microglia associated with Aβ plaques.

    “Transcriptomic analysis of microglia in an AD mouse model and in human AD has revealed a proinflammatory signature present in Aβ-plaque-associated microglia52,111,139,140 (FIG. 2a).”

    From Microglial signatures and their role in health and disease (2018) · cites this paper as [139]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 98 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. M. Riva, E. Kallberg, P. Bjork, D. Hancz, T. Vogl, J. Roth, F. Ivars, T. Leanderson, Induc- tion of nuclear factor-kappaB responses by the S100 A9 protein is toll-like receptor- 4-dependent, Immunology 137 (2012) 172-182, http://dx.doi.org/10.1111/j.1365- 2567.2012.03619.x. · DOI

Cited by

Sorted by citations

Authors
Kamphuis, W., Kooijman, L., Schetters, S., Orre, M., & Hol, E. M.
Affiliations
Netherlands Institute for Neuroscience (NL)
Corresponding author
Kamphuis, Willem
Venue
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
Publisher
Elsevier BV
Published
2016-10
Volume
1862
Issue
10
Pages
1847-1860
ISSN
0925-4439 (ISSN-L)
OpenAlex
W2504925882
Cited by
209
References
98
Citations by year
2026: 10 · 2025: 22 · 2024: 28 · 2023: 20 · 2022: 17 · 2021: 28 · 2020: 33 · 2019: 19 · 2018: 21 · 2017: 10 · 2012: 1
FWCI
9.09
Type
journal article
Language
en
Open access
Locations
  • Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (publishedVersion)
  • PubMed (publishedVersion)
  • KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion, other-oa)
  • KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (publishedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • Utrecht University Repository (Utrecht University) (submittedVersion)
Funders
  • Internationale Stichting Alzheimer Onderzoek (ISAO 08504/12,509)
  • Netherlands Organization for Scientific Research (865.09.003)
Topics
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
Keywords
Alzheimer's disease, microglia, CD11c, amyloid plaques, microglial activation, microglial transcriptome, immunosuppression, immune signaling, apolipoprotein E, GPNMB, amyloid-beta clearance, neuroinflammation
MeSH terms
Alzheimer Disease, Animals, Disease Models, Animal, Gene Expression Regulation, Mice, Transgenic, Nerve Tissue Proteins, Amyloid beta-Peptides, Microglia, Gene Expression Profiling, CD11c Antigen, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review