2003
DOI: 10.1042/bst0310447
|View full text |Cite
|
Sign up to set email alerts
|

Effects of age on antibody affinity maturation

Abstract: The elderly are more susceptible to infectious diseases. Mortality and morbidity from infections increase sharply over the age of 65 years. At the same time, the efficacy of vaccinations in the elderly is decreased. The elderly also have an increased incidence of cancer and inflammatory diseases. All the above indicate an age-related dysregulation of the immune system. Evidence suggests that the change in the humoral immune response with age is a qualitative rather than a quantitative one, i.e. it is the affin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
29
0

Year Published

2006
2006
2023
2023

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 47 publications
(29 citation statements)
references
References 9 publications
0
29
0
Order By: Relevance
“…Mutational lineage trees of B cell clones from patients with MG, RA, SS, and MS [6,[16][17][18][19][20][21], and from normal human GCs [25][26], were created from published and unpublished IgV sequence data; we also used published lineage trees [12,10,14]. Each dataset contained IGV sequences from different IGV groups and patients (Table 1).…”
Section: Large Variability Of Ai Data Sets and The Necessity For Datamentioning
confidence: 99%
See 2 more Smart Citations
“…Mutational lineage trees of B cell clones from patients with MG, RA, SS, and MS [6,[16][17][18][19][20][21], and from normal human GCs [25][26], were created from published and unpublished IgV sequence data; we also used published lineage trees [12,10,14]. Each dataset contained IGV sequences from different IGV groups and patients (Table 1).…”
Section: Large Variability Of Ai Data Sets and The Necessity For Datamentioning
confidence: 99%
“…Sample trees are shown in Tree measurements of AI data sets were compared to those of trees from normal human samples of both Peripheral blood lymphocytes (PBL [8]) and germinal centers (GC [6,26]), revealing large variability between the data of the different groups, including between data sets of the same disease ( Figure 2). Despite this variability, in all but two sets [10,14] the trees were larger than in the normal control data sets, whether we look at the number of leaves L, i.e.…”
Section: Large Variability Of Ai Data Sets and The Necessity For Datamentioning
confidence: 99%
See 1 more Smart Citation
“…There is decreased response of T cells to specific Ags or mitogens, altered cytokine secretion patterns, involution of thymus causing changes in the ratio of naive to memory lymphocyte populations, decreased CTL responses, and defects in signal transduction (9 -16). The situation is aggravated further by the failure of B cells to produce high-affinity Abs and to generate long-lasting memory responses (17,18). In contrast to lymphocytes, very little is understood about the functioning of the APCs in aging.…”
mentioning
confidence: 99%
“…We have applied this method to study age-related differences in the humoral immune response in humans, with the surprising result that the GC reaction dynamics -and the effects of aging on these dynamics -differ between GCs taken from different tissues [13,14]. Applying this method to lineage tree data from Ig primary and secondary diversification processes in rabbits and chickens, which use gene conversion as well as SHM during both primary and secondary diversification [7], has highlighted the unique characteristics of the genetic and selective processes driving the formation of the Ig repertoire in these two species.…”
Section: Introductionmentioning
confidence: 99%