Cited by 390Immune cells in cancerImmune Response and InflammationAtherosclerosis and Cardiovascular Diseases

Age-dependent alterations of monocyte subsets and monocyte-related chemokine pathways in healthy adults

Open access
Seidler, Sebastian, Zimmermann, Henning W, Bartneck, Matthias, Trautwein, Christian, Tacke, Frank·2010·BMC Immunology

Abstract

Background: Recent experimental approaches have unraveled essential migratory and functional differences of monocyte subpopulations in mice. In order to possibly translate these findings into human physiology and pathophysiology, human monocyte subsets need to be carefully revisited in health and disease. In analogy to murine studies, we hypothesized that human monocyte subsets dynamically change during ageing, potentially influencing their functionality and contributing to immunosenescence. Results: Circulating monocyte subsets, surface marker and chemokine receptor expression were analyzed in 181 healthy volunteers (median age 42, range 18-88). Unlike the unaffected total leukocyte or total monocyte counts, non-classical CD14 + CD16 + monocytes significantly increased with age, but displayed reduced HLA-DR and CX 3 CR1 surface expression in the elderly. Classical CD14 ++ CD16 - monocyte counts did not vary dependent on age. Serum MCP-1 (CCL2), but not MIP1α (CCL3), MIP1β (CCL4) or fractalkine (CX 3 CL1) concentrations increased with age. Monocyte-derived macrophages from old or young individuals did not differ with respect to cytokine release in vitro at steady state or upon LPS stimulation. Conclusions: Our study demonstrates dynamic changes of circulating monocytes during ageing in humans. The expansion of the non-classical CD14 + CD16 + subtype, alterations of surface protein and chemokine receptor expression as well as circulating monocyte-related chemokines possibly contribute to the preserved functionality of the monocyte pool throughout adulthood.

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 · 10.1186/1471-2172-11-30

Cites

35 of 35 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?

  • Monocyte populations shift in elderly people, with accumulation of non-classical monocytes that downregulate HLA-DR.

    “Monocyte populations shift in the elderly, and there is an accumulation of non-classical monocytes that significantly downregulate HLA-DR123.”

    From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [123]

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

Cited by

Sorted by citations

Authors
Seidler, S., Zimmermann, H. W., Bartneck, M., Trautwein, C., & Tacke, F.
Affiliations
Universitätsklinikum Aachen (DE)
Corresponding author
Tacke, Frank
Venue
BMC Immunology
Published
2010-06-21
Volume
11
Issue
1
Pages
30-30
ISSN
1471-2172 (ISSN-L)
OpenAlex
W2058743791
Cited by
390
References
35
Citations by year
2026: 17 · 2025: 23 · 2024: 32 · 2023: 32 · 2022: 30 · 2021: 40 · 2020: 33 · 2019: 27 · 2018: 21 · 2017: 17 · 2016: 22 · 2015: 26 · 2014: 20 · 2013: 22 · 2012: 16
FWCI
6.45
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • BMC Immunology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • RWTH Publications (RWTH Aachen) (submittedVersion, cc-by)
  • RWTH Publications (RWTH Aachen)
Funders
  • Deutsche Forschungsgemeinschaft (GRK 1035, DFG Ta434/2–1, SFB‐TRR57, Ta434/2-1, DFG: SFB/TRR57)
  • RWTH Aachen University
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
  • Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
  • Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
Keywords
monocyte subsets, aging, immunosenescence, CD14+CD16+ monocytes, classical monocytes, CX3CR1, HLA-DR, chemokine receptors, MCP-1, monocyte-derived macrophages, cytokine production, lipopolysaccharide stimulation, healthy adults
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Aging, Cell Movement, Female, Health, HLA-DR Antigens, Humans, Macrophages, Male, Middle Aged, Monocytes, Cohort Studies, Signal Transduction, Receptors, IgG, Chemokines, Chemokine CCL2, Lipopolysaccharide Receptors, Receptors, Chemokine, Young Adult

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