Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 369

The DOI matches its Crossref record; 1,005 of the 1,005 references it cites were found in a registry or an index.

T cells and aging january 2002 update

Open access
Pawelec, Graham·2002·Frontiers in Bioscience

Abstract

Age-related changes in the immune system may contribute to morbidity and mortality due to decreased resistance to infection and, possibly, certain cancers in the aged. Many studies mostly performed in mice, rats and man but also including monkeys and dogs have established that age-associated immune decline is characterized by decreases in both humoral and cellular responses. The former may be largely a result of the latter, because observed changes both in the B cell germline-encoded repertoire and the age-associated decrease in somatic hypermutation of the B cell antigen receptors are now known to be critically affected by helper T cell aging. As antigen presenting cell (APC) function appears to be well-maintained in the elderly, this review will focus on the T cell. Factors contributing to T cell immunosenescence may include a) altered production of T cell progenitors (stem cell defects, stromal cell defects), b) decreased levels of newly-generated mature T cells (thymic involution), c) aging of resting immune cells, d) disrupted activation pathways in immune cells (stimulation via the T cell receptor for antigen, costimulation, apoptosis control), e) replicative senescence of clonally expanding cells. This review aims to consider the current state of knowledge on the scientific basis for and potential clinical relevance of those factors in immunosenescence in humans. Experiments in other species will be touched upon with the proviso that there are clearly differences between them, especially between humans and rodents, but exactly what those differences are is not completely clear. Given its potential importance and the increasing proportion of elderly people the world over, coupled with the realisation that whereas mortality is decreasing, morbidity may not be decreasing in parallel (1), a better understanding of the causes and impact of immunosenescence may offer the possibility of identifying where prevention or delay of onset, as well as therapeutic intervention, might be beneficial. Amelioration of the effects of dysregulated immune responses in the elderly by replacement therapy, supplementation therapy or other approaches may result in an enhancement of their quality of life, and significant reductions in the cost of medical care in old age.

Overview

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 · 10.2741/a831

Cites

1005 of 1005 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Items 601–800 of 1,005

Cited by

See all 369

Metadata

Authors
Pawelec, G.
Venue
Frontiers in Bioscience
Publisher
IMR Press
Published
2002
Volume
7
Issue
4
Pages
d1056-1183
ISSN
  • 1093-4715 (ISSN-L)
  • 1093-9946
OpenAlex
W2370317860
Cited by
369
References
1,005
FWCI
10.87
Type
journal article
Language
en
Open access
bronze

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.