Immune profiles of pre-frail people living with HIV-1: a prospective longitudinal study.


Journal

Immunity & ageing : I & A
ISSN: 1742-4933
Titre abrégé: Immun Ageing
Pays: England
ID NLM: 101235427

Informations de publication

Date de publication:
13 Mar 2024
Historique:
received: 30 11 2023
accepted: 06 02 2024
medline: 14 3 2024
pubmed: 14 3 2024
entrez: 14 3 2024
Statut: epublish

Résumé

People living with HIV (PLWH) are at risk of frailty, which is predictive for death. As an overactivity of the immune system is thought to fuel frailty, we characterized the immune activation profiles linked to frailty. We quantified twenty-seven activation markers in forty-six virological responders (four females and forty-two males; median age, 74 years; median duration of infection, 24 years; median duration of undetectability, 13 years), whose frailty was determined according to the Fried criteria. T cell and NK cell activation was evaluated by flow cytometry, using a panel of cell surface markers. Soluble markers of inflammation, and monocyte activation and endothelial activation were measured by ELISA. The participants' immune activation was profiled by an unsupervised double hierarchical clustering analysis. We used ANOVA p-values to rank immunomarkers most related to Fried score. A Linear Discriminant Analysis (LDA) was performed to link immune activation markers to frailty. 41% of the participants were pre-frail, including 24% with a Fried score of 1, and 17% with a Fried score of 2. ANOVA identified the 14 markers of T cell, monocyte, NK cell, endothelial activation, and inflammation the most linked to Fried 3 classes. The LDA performed with these 14 markers was capable of discriminating volunteers according to their Fried score. Two out of the 5 immune activation profiles revealed by the hierarchical clustering were linked to and predictive of pre-frailty. These two profiles were characterized by a low percentage of CD4 T cells and a high percentage of CD8 T cells, activated CD4 T cells, CD8 T cells, and NK cells, and inflammation. We identified a particular immune activation profile associated with pre-frailty in PLWH. Profiling participants at risk of developing frailty might help to tailor the screening and prevention of medical complications fueled by loss of robustness. Further studies will indicate whether this frailty signature is specific or not of HIV infection, and whether it also precedes frailty in the general population.

Sections du résumé

BACKGROUND BACKGROUND
People living with HIV (PLWH) are at risk of frailty, which is predictive for death. As an overactivity of the immune system is thought to fuel frailty, we characterized the immune activation profiles linked to frailty.
METHODS METHODS
We quantified twenty-seven activation markers in forty-six virological responders (four females and forty-two males; median age, 74 years; median duration of infection, 24 years; median duration of undetectability, 13 years), whose frailty was determined according to the Fried criteria. T cell and NK cell activation was evaluated by flow cytometry, using a panel of cell surface markers. Soluble markers of inflammation, and monocyte activation and endothelial activation were measured by ELISA. The participants' immune activation was profiled by an unsupervised double hierarchical clustering analysis. We used ANOVA p-values to rank immunomarkers most related to Fried score. A Linear Discriminant Analysis (LDA) was performed to link immune activation markers to frailty.
RESULTS RESULTS
41% of the participants were pre-frail, including 24% with a Fried score of 1, and 17% with a Fried score of 2. ANOVA identified the 14 markers of T cell, monocyte, NK cell, endothelial activation, and inflammation the most linked to Fried 3 classes. The LDA performed with these 14 markers was capable of discriminating volunteers according to their Fried score. Two out of the 5 immune activation profiles revealed by the hierarchical clustering were linked to and predictive of pre-frailty. These two profiles were characterized by a low percentage of CD4 T cells and a high percentage of CD8 T cells, activated CD4 T cells, CD8 T cells, and NK cells, and inflammation.
CONCLUSIONS CONCLUSIONS
We identified a particular immune activation profile associated with pre-frailty in PLWH. Profiling participants at risk of developing frailty might help to tailor the screening and prevention of medical complications fueled by loss of robustness. Further studies will indicate whether this frailty signature is specific or not of HIV infection, and whether it also precedes frailty in the general population.

Identifiants

pubmed: 38481213
doi: 10.1186/s12979-024-00416-5
pii: 10.1186/s12979-024-00416-5
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20

Subventions

Organisme : MSDAVENIR
ID : DS-2016-0010

Informations de copyright

© 2024. The Author(s).

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Auteurs

Lucy Kundura (L)

Institute of Human Genetics, CNRS-Montpellier University UMR9002, 141 rue de la Cardonille, Montpellier, 34396, France.

Renaud Cezar (R)

Immunology Department, Nîmes University Hospital, Place du Pr Debré, Nîmes, 30029, France.

Sandrine Gimenez (S)

Institute of Human Genetics, CNRS-Montpellier University UMR9002, 141 rue de la Cardonille, Montpellier, 34396, France.

Manuela Pastore (M)

Institute of Functional Genomics UMR5203 and BCM, CNRS-INSERM-Montpellier University, 141 rue de la Cardonille, Montpellier, 34396, France.

Christelle Reynes (C)

Institute of Functional Genomics UMR5203 and BCM, CNRS-INSERM-Montpellier University, 141 rue de la Cardonille, Montpellier, 34396, France.

Albert Sotto (A)

Infectious and Tropical Diseases Department, Nîmes University Hospital, Nîmes, France.
Montpellier University, Montpellier, France.

Jacques Reynes (J)

Montpellier University, Montpellier, France.
Infectious and Tropical Diseases Department, Montpellier University Hospital, Montpellier, France.

Clotilde Allavena (C)

Service de Maladies Infectieuses, CHU de Nantes, Université de Nantes, Nantes, UE, 1413, France.

Laurence Meyer (L)

INSERM CESP U1018, Le Kremlin Bicêtre, France.
Department of Public Health and Epidemiology, Bicêtre Hospital, AP-HP, Paris-Saclay University, Le Kremlin-Bicêtre, France.

Alain Makinson (A)

Montpellier University, Montpellier, France.
Infectious and Tropical Diseases Department, Montpellier University Hospital, Montpellier, France.

Pierre Corbeau (P)

Institute of Human Genetics, CNRS-Montpellier University UMR9002, 141 rue de la Cardonille, Montpellier, 34396, France. pcorbeau@igh.cnrs.fr.
Immunology Department, Nîmes University Hospital, Place du Pr Debré, Nîmes, 30029, France. pcorbeau@igh.cnrs.fr.
Montpellier University, Montpellier, France. pcorbeau@igh.cnrs.fr.

Classifications MeSH