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Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy

Chronic immune activation persists despite antiretroviral therapy (ART) in HIV+ individuals and underpins an increased risk of age-related co-morbidities. We assessed the Frailty Index in older HIV+ Australian men on ART. Immunometabolic markers on monocytes and T cells were analyzed using flow cyto...

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Autores principales: Yeoh, Hui-Ling, Cheng, Allen C., Cherry, Catherine L., Weir, Jacquelyn M., Meikle, Peter J., Hoy, Jennifer F., Crowe, Suzanne M., Palmer, Clovis S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552224/
https://www.ncbi.nlm.nih.gov/pubmed/28754302
http://dx.doi.org/10.1016/j.ebiom.2017.07.015
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author Yeoh, Hui-Ling
Cheng, Allen C.
Cherry, Catherine L.
Weir, Jacquelyn M.
Meikle, Peter J.
Hoy, Jennifer F.
Crowe, Suzanne M.
Palmer, Clovis S.
author_facet Yeoh, Hui-Ling
Cheng, Allen C.
Cherry, Catherine L.
Weir, Jacquelyn M.
Meikle, Peter J.
Hoy, Jennifer F.
Crowe, Suzanne M.
Palmer, Clovis S.
author_sort Yeoh, Hui-Ling
collection PubMed
description Chronic immune activation persists despite antiretroviral therapy (ART) in HIV+ individuals and underpins an increased risk of age-related co-morbidities. We assessed the Frailty Index in older HIV+ Australian men on ART. Immunometabolic markers on monocytes and T cells were analyzed using flow cytometry, plasma innate immune activation markers by ELISA, and lipidomic profiling by mass spectrometry. The study population consisted of 80 HIV + men with a median age of 59 (IQR, 56–65), and most had an undetectable viral load (92%). 24% were frail, and 76% were non-frail. Frailty was associated with elevated Glucose transporter-1 (Glut1) expression on the total monocytes (p = 0.04), increased plasma levels of innate immune activation marker sCD163 (OR, 4.8; CI 1.4–15.9, p = 0.01), phosphatidylethanolamine PE(36:3) (OR, 5.1; CI 1.7–15.5, p = 0.004) and triacylglycerol TG(16:1_18:1_18:1) (OR, 3.4; CI 1.3–9.2, p = 0.02), but decreased expression of GM3 ganglioside, GM3(d18:1/18:0) (OR, 0.1; CI 0.0–0.6, p = 0.01) and monohexosylceramide HexCerd(d18:1/22:0) (OR, 0.1; CI 0.0–0.5, p = 0.004). There is a strong inverse correlation between quality of life and the concentration of PE(36:3) (ρ = − 0.33, p = 0.004) and PE(36:4) (ρ = − 0.37, p = 0.001). These data suggest that frailty is associated with increased innate immune activation and abnormal lipidomic profile. These markers should be investigated in larger, longitudinal studies to determine their potential as biomarkers for frailty.
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spelling pubmed-55522242017-08-22 Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy Yeoh, Hui-Ling Cheng, Allen C. Cherry, Catherine L. Weir, Jacquelyn M. Meikle, Peter J. Hoy, Jennifer F. Crowe, Suzanne M. Palmer, Clovis S. EBioMedicine Research Paper Chronic immune activation persists despite antiretroviral therapy (ART) in HIV+ individuals and underpins an increased risk of age-related co-morbidities. We assessed the Frailty Index in older HIV+ Australian men on ART. Immunometabolic markers on monocytes and T cells were analyzed using flow cytometry, plasma innate immune activation markers by ELISA, and lipidomic profiling by mass spectrometry. The study population consisted of 80 HIV + men with a median age of 59 (IQR, 56–65), and most had an undetectable viral load (92%). 24% were frail, and 76% were non-frail. Frailty was associated with elevated Glucose transporter-1 (Glut1) expression on the total monocytes (p = 0.04), increased plasma levels of innate immune activation marker sCD163 (OR, 4.8; CI 1.4–15.9, p = 0.01), phosphatidylethanolamine PE(36:3) (OR, 5.1; CI 1.7–15.5, p = 0.004) and triacylglycerol TG(16:1_18:1_18:1) (OR, 3.4; CI 1.3–9.2, p = 0.02), but decreased expression of GM3 ganglioside, GM3(d18:1/18:0) (OR, 0.1; CI 0.0–0.6, p = 0.01) and monohexosylceramide HexCerd(d18:1/22:0) (OR, 0.1; CI 0.0–0.5, p = 0.004). There is a strong inverse correlation between quality of life and the concentration of PE(36:3) (ρ = − 0.33, p = 0.004) and PE(36:4) (ρ = − 0.37, p = 0.001). These data suggest that frailty is associated with increased innate immune activation and abnormal lipidomic profile. These markers should be investigated in larger, longitudinal studies to determine their potential as biomarkers for frailty. Elsevier 2017-07-18 /pmc/articles/PMC5552224/ /pubmed/28754302 http://dx.doi.org/10.1016/j.ebiom.2017.07.015 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Yeoh, Hui-Ling
Cheng, Allen C.
Cherry, Catherine L.
Weir, Jacquelyn M.
Meikle, Peter J.
Hoy, Jennifer F.
Crowe, Suzanne M.
Palmer, Clovis S.
Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy
title Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy
title_full Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy
title_fullStr Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy
title_full_unstemmed Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy
title_short Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy
title_sort immunometabolic and lipidomic markers associated with the frailty index and quality of life in aging hiv+ men on antiretroviral therapy
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552224/
https://www.ncbi.nlm.nih.gov/pubmed/28754302
http://dx.doi.org/10.1016/j.ebiom.2017.07.015
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