| Title |
From inflamm-aging to immune-paralysis: a slippery slope during aging for immune-adaptation
|
|---|---|
| Published in |
Biogerontology, October 2015
|
| DOI | 10.1007/s10522-015-9615-7 |
| Pubmed ID | |
| Authors |
T. Fulop, G. Dupuis, S. Baehl, A. Le Page, K. Bourgade, E. Frost, J. M. Witkowski, G. Pawelec, A. Larbi, S. Cunnane |
| Abstract |
Aging is accompanied by many physiological changes including those in the immune system. These changes are designated as immunosenescence indicating that age induces a decrease in immune functions. However, since many years we know that some aspects are not decreasing but instead are increasing like the pro-inflammatory activity by the innate immune cells, especially by monocytes/macrophages. Recently it became evident that these cells may possess a sort of memory called trained memory sustained by epigenetic changes occurring long after even in the absence of the initiator aggressor. In this review we are reviewing evidences that such changes may occur in aging and describe the relationship between inflamm-aging and immunosenescence as an adaptation/remodelling process leading on one hand to increased inflammation and on the other to decreased immune response (immune-paralysis) mastered by the innate immune system. These changes may collectively induce a state of alertness which assure an immune response even if ultimately resulting in age-related deleterious inflammatory diseases. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 16% |
| Student > Ph. D. Student | 19 | 14% |
| Student > Bachelor | 17 | 12% |
| Student > Master | 15 | 11% |
| Student > Doctoral Student | 8 | 6% |
| Other | 25 | 18% |
| Unknown | 31 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 21% |
| Biochemistry, Genetics and Molecular Biology | 25 | 18% |
| Agricultural and Biological Sciences | 17 | 12% |
| Immunology and Microbiology | 8 | 6% |
| Neuroscience | 6 | 4% |
| Other | 18 | 13% |
| Unknown | 34 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2015.
All research outputs
#18,429,163
of 22,830,751 outputs
Outputs from Biogerontology
#506
of 651 outputs
Outputs of similar age
#200,809
of 279,238 outputs
Outputs of similar age from Biogerontology
#15
of 22 outputs
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