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Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population?

HIV infection has become a chronic disease, with a lower mortality, but a consequent increase in age-related noninfectious comorbidities. Metabolic disorders have been linked to the effect of cART as well to the effects of immune activation and chronic inflammation. Whereas it is known that aging is...

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Autores principales: Sauce, Delphine, Pourcher, Valérie, Ferry, Tristan, Boddaert, Jacques, Slama, Laurence, Allavena, Clotilde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084076/
https://www.ncbi.nlm.nih.gov/pubmed/33907138
http://dx.doi.org/10.1097/MD.0000000000025678
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author Sauce, Delphine
Pourcher, Valérie
Ferry, Tristan
Boddaert, Jacques
Slama, Laurence
Allavena, Clotilde
author_facet Sauce, Delphine
Pourcher, Valérie
Ferry, Tristan
Boddaert, Jacques
Slama, Laurence
Allavena, Clotilde
author_sort Sauce, Delphine
collection PubMed
description HIV infection has become a chronic disease, with a lower mortality, but a consequent increase in age-related noninfectious comorbidities. Metabolic disorders have been linked to the effect of cART as well to the effects of immune activation and chronic inflammation. Whereas it is known that aging is intrinsically associated with hyperinflammation and immune system deterioration, the relative impact of chronic HIV infection on such inflammatory and immune activation has not yet been studied focusing on an elderly HIV-infected population. The objectives of the study were to assess 29 blood markers of immune activation and inflammation using an ultrasensitive technique, in HIV-infected patients aged ≥75 years with no or 1 comorbidity (among hypertension, renal disease, neoplasia, diabetes mellitus, cardiovascular disease, stroke, dyslipidemia, and osteoporosis), in comparison with age-adjusted HIV-uninfected individuals to identify whether biomarkers were associated with comorbidities. Wilcoxon nonparametric tests were used to compare the levels of each marker between control and HIV groups; logistic regression to identify biomarkers associated to comorbidity in the HIV group and principal component analysis (PCA) to determine clusters associated with a group or a specific comorbidity. A total of 111 HIV-infected subjects were included from the Dat’AIDS cohort and compared to 63 HIV-uninfected controls. In the HIV-infected group, 4 biomarkers were associated with the risk of developing a comorbidity: monocyte chemoattractant protein-1 (MCP-1), neurofilament light chain (NF-L), neopterin, and soluble CD14. Six biomarkers (interleukin [IL]-1B, IL-7, IL-18, neopterin, sCD14, and fatty acid-binding protein) were significantly higher in the HIV-infected group compared to the control group, 11 biomarkers (myeloperoxydase, interleukin-1 receptor antagonist, tumor necrosis factor receptor 1, interferon-gamma, MCP-1, tumor necrosis factor receptor 2, IL-22, ultra sensitivity C-reactive protein, fibrinogen, IL-6, and NF-L) were lower. Despite those differences, PCA to determine clusters associated with a group or a specific comorbidity did not reveal clustering nor between healthy control and HIV-infected patients neither between the presence of comorbidity within HIV-infected group. In this highly selected geriatric HIV population, HIV infection does not seem to have an additional impact on age-related inflammation and immune disorder. Close monitoring could have led to optimize prevention and treatment of comorbidities, and have limited both immune activation and inflammation in the aging HIV population.
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spelling pubmed-80840762021-05-01 Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population? Sauce, Delphine Pourcher, Valérie Ferry, Tristan Boddaert, Jacques Slama, Laurence Allavena, Clotilde Medicine (Baltimore) 4850 HIV infection has become a chronic disease, with a lower mortality, but a consequent increase in age-related noninfectious comorbidities. Metabolic disorders have been linked to the effect of cART as well to the effects of immune activation and chronic inflammation. Whereas it is known that aging is intrinsically associated with hyperinflammation and immune system deterioration, the relative impact of chronic HIV infection on such inflammatory and immune activation has not yet been studied focusing on an elderly HIV-infected population. The objectives of the study were to assess 29 blood markers of immune activation and inflammation using an ultrasensitive technique, in HIV-infected patients aged ≥75 years with no or 1 comorbidity (among hypertension, renal disease, neoplasia, diabetes mellitus, cardiovascular disease, stroke, dyslipidemia, and osteoporosis), in comparison with age-adjusted HIV-uninfected individuals to identify whether biomarkers were associated with comorbidities. Wilcoxon nonparametric tests were used to compare the levels of each marker between control and HIV groups; logistic regression to identify biomarkers associated to comorbidity in the HIV group and principal component analysis (PCA) to determine clusters associated with a group or a specific comorbidity. A total of 111 HIV-infected subjects were included from the Dat’AIDS cohort and compared to 63 HIV-uninfected controls. In the HIV-infected group, 4 biomarkers were associated with the risk of developing a comorbidity: monocyte chemoattractant protein-1 (MCP-1), neurofilament light chain (NF-L), neopterin, and soluble CD14. Six biomarkers (interleukin [IL]-1B, IL-7, IL-18, neopterin, sCD14, and fatty acid-binding protein) were significantly higher in the HIV-infected group compared to the control group, 11 biomarkers (myeloperoxydase, interleukin-1 receptor antagonist, tumor necrosis factor receptor 1, interferon-gamma, MCP-1, tumor necrosis factor receptor 2, IL-22, ultra sensitivity C-reactive protein, fibrinogen, IL-6, and NF-L) were lower. Despite those differences, PCA to determine clusters associated with a group or a specific comorbidity did not reveal clustering nor between healthy control and HIV-infected patients neither between the presence of comorbidity within HIV-infected group. In this highly selected geriatric HIV population, HIV infection does not seem to have an additional impact on age-related inflammation and immune disorder. Close monitoring could have led to optimize prevention and treatment of comorbidities, and have limited both immune activation and inflammation in the aging HIV population. Lippincott Williams & Wilkins 2021-04-30 /pmc/articles/PMC8084076/ /pubmed/33907138 http://dx.doi.org/10.1097/MD.0000000000025678 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 4850
Sauce, Delphine
Pourcher, Valérie
Ferry, Tristan
Boddaert, Jacques
Slama, Laurence
Allavena, Clotilde
Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population?
title Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population?
title_full Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population?
title_fullStr Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population?
title_full_unstemmed Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population?
title_short Immune activation and chronic inflammation: Is there an additional effect of HIV in a geriatric population?
title_sort immune activation and chronic inflammation: is there an additional effect of hiv in a geriatric population?
topic 4850
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084076/
https://www.ncbi.nlm.nih.gov/pubmed/33907138
http://dx.doi.org/10.1097/MD.0000000000025678
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