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Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy

Targeted metabolomics studies reported metabolic abnormalities in both treated and untreated people living with human immunodeficiency virus (HIV) (PLHIV). The present study aimed to understand the plasma metabolomic changes and predicted the risk of accelerated aging in PLHIV on long-term suppressi...

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Autores principales: Babu, Hemalatha, Sperk, Maike, Ambikan, Anoop T., Rachel, Gladys, Viswanathan, Vinod Kumar, Tripathy, Srikanth P., Nowak, Piotr, Hanna, Luke Elizabeth, Neogi, Ujjwal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6835959/
https://www.ncbi.nlm.nih.gov/pubmed/31574898
http://dx.doi.org/10.3390/metabo9100210
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author Babu, Hemalatha
Sperk, Maike
Ambikan, Anoop T.
Rachel, Gladys
Viswanathan, Vinod Kumar
Tripathy, Srikanth P.
Nowak, Piotr
Hanna, Luke Elizabeth
Neogi, Ujjwal
author_facet Babu, Hemalatha
Sperk, Maike
Ambikan, Anoop T.
Rachel, Gladys
Viswanathan, Vinod Kumar
Tripathy, Srikanth P.
Nowak, Piotr
Hanna, Luke Elizabeth
Neogi, Ujjwal
author_sort Babu, Hemalatha
collection PubMed
description Targeted metabolomics studies reported metabolic abnormalities in both treated and untreated people living with human immunodeficiency virus (HIV) (PLHIV). The present study aimed to understand the plasma metabolomic changes and predicted the risk of accelerated aging in PLHIV on long-term suppressive antiretroviral therapy (ART) in a case-control study setting and its association with the plasma proteomics biomarkers of inflammation and neurological defects. Plasma samples were obtained from PLHIV on successful long-term ART for more than five years (n = 22) and matched HIV-negative healthy individuals (n = 22, HC herein). Untargeted metabolite profiling was carried out using ultra-high-performance liquid chromatography/mass spectrometry/mass spectrometry (UHPLC/MS/MS). Plasma proteomics profiling was performed using proximity extension assay targeting 184 plasma proteins. A total of 250 metabolites differed significantly (p < 0.05, q < 0.1) between PLHIV and HC. Plasma levels of several essential amino acids except for histidine, branched-chain amino acids, and aromatic amino acids (phenylalanine, tyrosine, tryptophan) were significantly lower in PLHIV compared to HC. Machine-learning prediction of metabolite changes indicated a higher risk of inflammatory and neurological diseases in PLHIV. Metabolic abnormalities were observed in amino-acid levels, energetics, and phospholipids and complex lipids, which may reflect known differences in lipoprotein levels in PLHIV that can resemble metabolic syndrome (MetS).
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spelling pubmed-68359592019-11-25 Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy Babu, Hemalatha Sperk, Maike Ambikan, Anoop T. Rachel, Gladys Viswanathan, Vinod Kumar Tripathy, Srikanth P. Nowak, Piotr Hanna, Luke Elizabeth Neogi, Ujjwal Metabolites Article Targeted metabolomics studies reported metabolic abnormalities in both treated and untreated people living with human immunodeficiency virus (HIV) (PLHIV). The present study aimed to understand the plasma metabolomic changes and predicted the risk of accelerated aging in PLHIV on long-term suppressive antiretroviral therapy (ART) in a case-control study setting and its association with the plasma proteomics biomarkers of inflammation and neurological defects. Plasma samples were obtained from PLHIV on successful long-term ART for more than five years (n = 22) and matched HIV-negative healthy individuals (n = 22, HC herein). Untargeted metabolite profiling was carried out using ultra-high-performance liquid chromatography/mass spectrometry/mass spectrometry (UHPLC/MS/MS). Plasma proteomics profiling was performed using proximity extension assay targeting 184 plasma proteins. A total of 250 metabolites differed significantly (p < 0.05, q < 0.1) between PLHIV and HC. Plasma levels of several essential amino acids except for histidine, branched-chain amino acids, and aromatic amino acids (phenylalanine, tyrosine, tryptophan) were significantly lower in PLHIV compared to HC. Machine-learning prediction of metabolite changes indicated a higher risk of inflammatory and neurological diseases in PLHIV. Metabolic abnormalities were observed in amino-acid levels, energetics, and phospholipids and complex lipids, which may reflect known differences in lipoprotein levels in PLHIV that can resemble metabolic syndrome (MetS). MDPI 2019-09-30 /pmc/articles/PMC6835959/ /pubmed/31574898 http://dx.doi.org/10.3390/metabo9100210 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Babu, Hemalatha
Sperk, Maike
Ambikan, Anoop T.
Rachel, Gladys
Viswanathan, Vinod Kumar
Tripathy, Srikanth P.
Nowak, Piotr
Hanna, Luke Elizabeth
Neogi, Ujjwal
Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy
title Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy
title_full Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy
title_fullStr Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy
title_full_unstemmed Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy
title_short Plasma Metabolic Signature and Abnormalities in HIV-Infected Individuals on Long-Term Successful Antiretroviral Therapy
title_sort plasma metabolic signature and abnormalities in hiv-infected individuals on long-term successful antiretroviral therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6835959/
https://www.ncbi.nlm.nih.gov/pubmed/31574898
http://dx.doi.org/10.3390/metabo9100210
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