Chapter title |
AMPK in Pathogens.
|
---|---|
Chapter number | 12 |
Book title |
AMP-activated Protein Kinase
|
Published in |
EXS, November 2016
|
DOI | 10.1007/978-3-319-43589-3_12 |
Pubmed ID | |
Book ISBNs |
978-3-31-943587-9, 978-3-31-943589-3, 978-3-31-943587-9, 978-3-31-943589-3
|
Authors |
Inês Mesquita, Diana Moreira, Belém Sampaio-Marques, Mireille Laforge, Anabela Cordeiro-da-Silva, Paula Ludovico, Jérôme Estaquier, Ricardo Silvestre, Mesquita, Inês Morais, Moreira, Diana, Marques, Belém Sampaio, Laforge, Mireille, Cordeiro-da-Silva, Anabela, Ludovico, Paula, Estaquier, Jérôme, Silvestre, Ricardo Jorge Leal, Mesquita, Inês, Sampaio-Marques, Belém, Silvestre, Ricardo |
Editors |
Mario D. Cordero, Benoit Viollet |
Abstract |
During host-pathogen interactions, a complex web of events is crucial for the outcome of infection. Pathogen recognition triggers powerful cellular signaling events that is translated into the induction and maintenance of innate and adaptive host immunity against infection. In opposition, pathogens employ active mechanisms to manipulate host cell regulatory pathways toward their proliferation and survival. Among these, subversion of host cell energy metabolism by pathogens is currently recognized to play an important role in microbial growth and persistence. Extensive studies have documented the role of AMP-activated protein kinase (AMPK) signaling, a central cellular hub involved in the regulation of energy homeostasis, in host-pathogen interactions. Here, we highlight the most recent advances detailing how pathogens hijack cellular metabolism by suppressing or increasing the activity of the host energy sensor AMPK. We also address the role of lower eukaryote AMPK orthologues in the adaptive process to the host microenvironment and their contribution for pathogen survival, differentiation, and growth. Finally, we review the effects of pharmacological or genetic AMPK modulation on pathogen growth and persistence. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 38% |
Researcher | 2 | 15% |
Lecturer | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Unknown | 4 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 4 | 31% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Chemistry | 1 | 8% |
Unknown | 6 | 46% |