Cited by 278Neuroinflammation and Neurodegeneration MechanismsNeurological Disease Mechanisms and TreatmentsNeuroscience and Neuropharmacology Research

The DOI matches its Crossref record; 110 of the 112 references it cites were found in a registry or an index; 44 of the 63 sources its claims cite were checked for support.

Beyond Activation: Characterizing Microglial Functional Phenotypes

Open access

Abstract

Classically, the following three morphological states of microglia have been defined: ramified, amoeboid and phagocytic. While ramified cells were long regarded as “resting”, amoeboid and phagocytic microglia were viewed as “activated”. In aged human brains, a fourth, morphologically novel state has been described, i.e., dystrophic microglia, which are thought to be senescent cells. Since microglia are not replenished by blood-borne mononuclear cells under physiological circumstances, they seem to have an “expiration date” limiting their capacity to phagocytose and support neurons. Identifying factors that drive microglial aging may thus be helpful to delay the onset of neurodegenerative diseases, such as Alzheimer’s disease (AD). Recent progress in single-cell deep sequencing methods allowed for more refined differentiation and revealed regional-, age- and sex-dependent differences of the microglial population, and a growing number of studies demonstrate various expression profiles defining microglial subpopulations. Given the heterogeneity of pathologic states in the central nervous system, the need for accurately describing microglial morphology and expression patterns becomes increasingly important. Here, we review commonly used microglial markers and their fluctuations in expression in health and disease, with a focus on IBA1 low/negative microglia, which can be found in individuals with liver disease.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review argues that microglial functional phenotypes cannot be reliably inferred from single morphological or antigenic markers, because markers such as IBA1, TMEM119, P2RY12, CD74, MHCII, and CD68 vary across states and diseases. It highlights IBA1-low/negative microglia, including in individuals with liver disease, and calls for combining morphology, marker panels, and transcriptomic signatures.

Key findings

  • Four morphological microglial phenotypes are distinguished—resting, activated, amoeboid, and dystrophic—but IBA1 reliably stains ramified, activated, amoeboid, and dystrophic microglia, so it cannot distinguish functional phenotypes.
  • IBA1 loss or decrease is reported in human hippocampus with hepatic pathologies, non-proliferative hepatic encephalopathy, schizophrenia temporal cortex, Huntington’s disease striatum, and Alzheimer’s disease cortex; IBA1-low Alzheimer’s populations showed increased ferritin, CD74, and CD45, while plaque-associated microglia expressed high HLA-DR but much less IBA1.
  • TMEM119 was expressed in at least 50% of IBA1-positive human microglia and in 98% of rodent CD45lowCD11b+ cells, but was absent in necrotic cerebral infarctions and demyelinating multiple sclerosis lesions; in Alzheimer’s disease, TMEM119 mRNA was elevated although immunohistochemical analyses showed no difference.
  • P2RY12 is specific for parenchymal microglia and downregulated during activation/disease-associated states; CD74 was expressed in all human microglial morphological states; CD68 is a lysosomal/phagocytic marker, and a cluster from 16,096 individual microglial transcriptomes with distinct CD68 upregulation was most enriched for disease-associated microglia genes.

Methods

  • Narrative review; the authors review commonly used microglial markers and their expression fluctuations in health and disease, with a focus on IBA1-low/negative microglia found in individuals with liver disease.
  • Evidence base consists of cited human and rodent studies using immunohistochemistry, single-cell RNA sequencing, and disease models including Alzheimer’s disease, multiple sclerosis, Parkinson’s disease, schizophrenia, and hepatic encephalopathy.
  • Main analysis is a qualitative synthesis of marker expression across morphological states and pathologies; no systematic search strategy or meta-analysis is described.

Limitations

  • Stated: associating single markers with a distinct phenotype is difficult because most markers are expressed in several or even all microglial functional states.
  • Stated: many studies use IBA1 as the sole microglial marker, so they have not discriminated between a reduction in total microglial numbers and decreased IBA1 expression; the exact function of IBA1 still needs to be elucidated, and species differences are noted, such as CD74 expression in human versus rodent microglia.
  • Evident from the text: as a narrative review, it lacks a systematic search, explicit inclusion criteria, and quantitative synthesis, so its conclusions depend on the cited literature and may be subject to selection or reporting bias.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3390/cells10092236

Cites

110 of 110 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

44 of 63 cited sources checked · 22 supported · 0 flagged · accuracy not yet measured

Show all 28 claims

  • It may state two separate claims as one. 15
  • Probably not a substantial claim. 3
18 of 18
  • The paper relies on this without support.

    Microglia are not replenished by blood-borne mononuclear cells under physiological circumstances.

    “Since microglia are not replenished by blood-borne mononuclear cells under physiological circumstances”
  • The authors state this as an assumption.

    Certain microglial dysfunctions associated with a loss of IBA1 may not be pathology specific, but have a broader impact on immune defense and synaptic plasticity.

    “it is reasonable to assume that certain microglial dysfunctions that are associated with a loss of IBA1 may not be pathology specific, but have a broader impact on their role in immune defense and synaptic plasticity.”
2 of 2

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?

Self-check

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

Each contradiction between two passages listed here was confirmed by an independent check.

  • Huntington's disease claim cites an Alzheimer's disease paper

    Minor

    The text attributes a finding about Huntington's disease to Bulk et al. [25], but the listed title of reference 25 identifies its subject as early- and late-onset Alzheimer's disease.

1 of 1

Citations

Cites

Flagged first, then by citations

Show all 112 references

2 of the 112 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Items 101–200 of 278

Metadata

Authors
Lier, J., Streit, W. J., & Bechmann, I.
Affiliations
  • Leipzig University (DE)
  • University of Florida Health (US)
Corresponding author
Lier, Julia
Venue
Cells
Publisher
MDPI AG
Published
2021-08-28
Volume
10
Issue
9
Pages
2236
ISSN
2073-4409 (ISSN-L)
OpenAlex
W3196760175
Cited by
274
References
112
Citations by year
2026: 50 · 2025: 74 · 2024: 90 · 2023: 40 · 2022: 20
FWCI
12.67
Type
journal article
Language
en
Open access
Locations
  • Cells (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (submittedVersion, other-oa)
  • PubMed Central (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Qucosa (Saxon State and University Library Dresden) (submittedVersion, cc-by)
Topics
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
microglia, microglial activation, microglial morphology, ramified microglia, amoeboid microglia, microglial senescence, microglial heterogeneity, microglial markers, Iba1, liver disease, Alzheimer's disease, neurodegeneration, brain aging
MeSH terms
CD68 Molecule, Animals, Antigens, Differentiation, B-Lymphocyte, Histocompatibility Antigens Class II, Brain, Calcium-Binding Proteins, Humans, Membrane Proteins, Microfilament Proteins, Nerve Tissue Proteins, Phagocytes, Phenotype, Antigens, Differentiation, Myelomonocytic, Signal Transduction, Antigens, CD, Microglia, Neurodegenerative Diseases, Receptors, Purinergic P2Y12

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.

A language model drew the claims from the paper on 2026-10-13, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-13 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

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