| Title |
New advances in CMV and immunosenescence
|
|---|---|
| Published in |
Experimental Gerontology, April 2014
|
| DOI | 10.1016/j.exger.2014.03.020 |
| Pubmed ID | |
| Authors |
Paolo Sansoni, Rosanna Vescovini, Francesco F. Fagnoni, Arne Akbar, Ramon Arens, Yen-Ling Chiu, Luka Čičin-Šain, Julie Dechanet-Merville, Evelyna Derhovanessian, Sara Ferrando-Martinez, Claudio Franceschi, Daniela Frasca, Tamas Fulöp, David Furman, Effrossyni Gkrania-Klotsas, Felicia Goodrum, Beatrix Grubeck-Loebenstein, Mikko Hurme, Florian Kern, Daniele Lilleri, Miguel López-Botet, Andrea B. Maier, Thomas Marandu, Arnaud Marchant, Catharina Matheï, Paul Moss, Aura Muntasell, Ester B.M. Remmerswaal, Natalie E. Riddell, Kathrin Rothe, Delphine Sauce, Eui-Cheol Shin, Amanda M. Simanek, Megan J. Smithey, Cecilia Söderberg-Nauclér, Rafael Solana, Paul G. Thomas, Rene van Lier, Graham Pawelec, Janko Nikolich-Zugich |
| Abstract |
Immunosenescence, defined as the age-associated dysregulation and dysfunction of the immune system, is characterized by impaired protective immunity and decreased efficacy of vaccines. An increasing number of immunological, clinical and epidemiological studies suggest that persistent Cytomegalovirus (CMV) infection is associated with accelerated aging of the immune system and with several age-related diseases. However, current evidence on whether and how human CMV (HCMV) infection is implicated in immunosenescence and in age-related diseases remains incomplete and many aspects of CMV involvement in immune aging remain controversial. The attendees of the 4th International Workshop on "CMV & Immunosenescence", held in Parma, Italy, 25-27th March, 2013, presented and discussed data related to these open questions, which are reported in this commentary. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Arab Emirates | 1 | 25% |
| France | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Spain | 2 | <1% |
| Taiwan | 1 | <1% |
| France | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 203 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 15% |
| Student > Ph. D. Student | 29 | 14% |
| Researcher | 22 | 10% |
| Student > Bachelor | 21 | 10% |
| Student > Doctoral Student | 11 | 5% |
| Other | 46 | 22% |
| Unknown | 52 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 23% |
| Agricultural and Biological Sciences | 40 | 19% |
| Immunology and Microbiology | 26 | 12% |
| Biochemistry, Genetics and Molecular Biology | 21 | 10% |
| Nursing and Health Professions | 6 | 3% |
| Other | 15 | 7% |
| Unknown | 56 | 26% |