Cited by 377T-cell and B-cell ImmunologyTelomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Decline in CD28+ T cells in centenarians and in long-term T cell cultures: a possible cause for both in vivo and in vitro immunosenescence

Effros, Rita B., Boucher, Nathalie, Porter, Verna, Zhu, Xiaoming, Spaulding, Carolyn, Walford, Roy L., Kronenberg, Mitchell, Cohen, Daniel +1 more·1994·Experimental Gerontology

Abstract

The dramatic decline in immune function with age, especially in T cell proliferative activity, has been documented extensively in experimental animal models and in clinical studies of the elderly. A similar proliferative decline is also seen in long-term T lymphocyte cultures used to study in vitro cellular senescence. We have compared the peripheral blood T lymphocytes of centenarians and younger controls for the cell surface expression of CD28, a costimulatory molecule that is required for optimal activation and proliferation following engagement of the T cell receptor. Our analysis shows a significant decrease (p < 0.001) in the percentage of T cells expressing CD28 in the elderly cohort, with values ranging from 44% to 90%, as compared to the mean control value of 91%. The decline in the percentage of CD28+ T cells correlates with a reduction in the CD4/CD8 ratio (r2 = 0.695, p < 0.0001). Concommitantly, experiments using an in vitro T cell culture system showed a progressive loss of CD28 expression with culture "age." The concordance of proliferative decline and loss of CD28 in the centenarians and in the in vitro cultures suggest that a Hayflick phenomenon may operate in vivo leading to immunosenescence.

Integrity signals

Registry

Crossref · 10.1016/0531-5565(94)90073-6

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Effros, R. B., Boucher, N., Porter, V., Zhu, X., Spaulding, C., Walford, R. L., Kronenberg, M., Cohen, D., & Schächter, F.
Affiliations
  • University of California, Los Angeles (US)
  • Fondation Jean Dausset-CEPH (FR)
Corresponding author
Effros, Rita B.
Venue
Experimental Gerontology
Publisher
Elsevier BV
Published
1994-11
Volume
29
Issue
6
Pages
601-609
ISSN
0531-5565 (ISSN-L)
OpenAlex
W2037915406
Cited by
377
References
21
Citations by year
2026: 5 · 2025: 3 · 2024: 3 · 2023: 8 · 2022: 6 · 2021: 13 · 2020: 8 · 2019: 17 · 2018: 14 · 2017: 14 · 2016: 11 · 2015: 9 · 2014: 10 · 2013: 16 · 2012: 14
FWCI
3.49
Type
journal article
Language
en
Open access
closed
Locations
  • Experimental Gerontology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Amgen
  • National Institutes of Health (5r01ag005309-06)
  • National Institute on Aging (AG00427, AG05309, AG-00424)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
Keywords
immunosenescence, CD28, centenarians, T cell proliferation, cellular senescence, CD4/CD8 ratio, costimulatory molecules
MeSH terms
Adult, Aged, Aged, 80 and over, Cells, Cultured, Humans, Middle Aged, T-Lymphocytes, Linear Models, Case-Control Studies, T-Lymphocyte Subsets, Cellular Senescence, CD28 Antigens, Lymphocyte Count

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