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A pilot metabolomics study of tuberculosis immune reconstitution inflammatory syndrome

BACKGROUND: Diagnosis of paradoxical tuberculosis-associated immune reconstitution inflammatory syndrome (TB-IRIS) is challenging and new tools are needed for early diagnosis as well as to understand the biochemical events that underlie the pathology in TB-IRIS. METHODS: Plasma samples were obtained...

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Detalles Bibliográficos
Autores principales: Silva, Carlos A.M., Graham, Barbara, Webb, Kristofor, Ashton, Laura Vari, Harton, Marisa, Luetkemeyer, Annie F., Bokatzian, Samantha, Almubarak, Reem, Mahapatra, Sebabrata, Hovind, Laura, Kendall, Michelle A., Havlir, Diane, Belisle, John T., De Groote, Mary Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613934/
https://www.ncbi.nlm.nih.gov/pubmed/31009738
http://dx.doi.org/10.1016/j.ijid.2019.04.015
Descripción
Sumario:BACKGROUND: Diagnosis of paradoxical tuberculosis-associated immune reconstitution inflammatory syndrome (TB-IRIS) is challenging and new tools are needed for early diagnosis as well as to understand the biochemical events that underlie the pathology in TB-IRIS. METHODS: Plasma samples were obtained from participants from a randomized HIV/TB treatment strategy study (AIDS Clinical Trials Group [ACTG] A5221) with (n = 26) and without TB-IRIS (n = 22) for an untargeted metabolomics pilot study by liquid-chromatography mass spectrometry. The metabolic profile of these participants was compared at the study entry and as close to the diagnosis of TB-IRIS as possible (TB-IRIS window). Molecular features with p < 0.05 and log(2) fold change ≥0.58 were submitted for pathway analysis through MetaboAnalyst. We also elucidated potential metabolic signatures for TB-IRIS using a LASSO regression model. RESULTS: At the study entry, we showed that the arachidonic acid and glycerophospholipid metabolism were altered in the TB-IRIS group. Sphingolipid and linoleic acid metabolism were the most affected pathways during the TB-IRIS window. LASSO modeling selected a set of 8 and 7 molecular features with the potential to predict TB-IRIS at study entry and during the TB-IRIS window, respectively. CONCLUSION: This study suggests that the use of plasma metabolites may distinguish HIV-TB patients with and without TB-IRIS.