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How Immunosenescence and Inflammaging May Contribute to Hyperinflammatory Syndrome in COVID-19.
Müller, Ludmila; Di Benedetto, Svetlana.
  • Müller L; Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany.
  • Di Benedetto S; Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany.
Int J Mol Sci ; 22(22)2021 Nov 21.
Article in English | MEDLINE | ID: covidwho-1524028
ABSTRACT
Aging is characterized by the dynamic remodeling of the immune system designated "immunosenescence," and is associated with altered hematopoiesis, thymic involution, and lifelong immune stimulation by multitudinous chronic stressors, including the cytomegalovirus (CMV). Such alterations may contribute to a lowered proportion of naïve T-cells and to reduced diversity of the T-cell repertoire. In the peripheral circulation, a shift occurs towards accumulations of T and B-cell populations with memory phenotypes, and to accumulation of putatively senescent and exhausted immune cells. The aging-related accumulations of functionally exhausted memory T lymphocytes, commonly secreting pro-inflammatory cytokines, together with mediators and factors of the innate immune system, are considered to contribute to the low-grade inflammation (inflammaging) often observed in elderly people. These senescent immune cells not only secrete inflammatory mediators, but are also able to negatively modulate their environments. In this review, we give a short summary of the ways that immunosenescence, inflammaging, and CMV infection may cause insufficient immune responses, contribute to the establishment of the hyperinflammatory syndrome and impact the severity of the coronavirus disease 2019 (COVID-19) in elderly people.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijms222212539

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijms222212539