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Lack of Evidence for mtDNA as a Biomarker of Innate Immune Activation in HIV Infection

Overview of attention for article published in PLOS ONE, November 2012
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Title
Lack of Evidence for mtDNA as a Biomarker of Innate Immune Activation in HIV Infection
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050486
Pubmed ID
Authors

Adam S. Lauring, Tzong-Hae Lee, Jeffrey N. Martin, Peter W. Hunt, Steven G. Deeks, Michael Busch

Abstract

Many human immunodeficiency virus (HIV) infected individuals suffer from persistent immune activation. Chronic inflammation and immune dysregulation have been associated with an increased risk of age-related diseases even among patients on highly active antiretroviral therapy. The factors leading to immune activation are complex, but have been hypothesized to include persistent viral replication with cellular death as well as microbial translocation across the gastrointestinal tract. Both processes may trigger innate immune responses since many native molecules released from dying cells are similar in structure to pathogen associated molecular patterns. These damage associated molecular patterns include mitochondrial DNA and formylated peptides. We hypothesized that circulating mitochondrial nucleic acid could serve as a biomarker for HIV-associated cell death and drive innate immune activation in infected individuals. We developed a quantitative polymerase chain reaction assay for plasma mitochondrial DNA and validated it on normal blood donors. We then measured mitochondrial DNA levels in acute and chronic HIV infection. While the assay proved to be accurate with a robust dynamic range, we did not find a significant association between HIV disease status and circulating mitochondrial DNA. We did, however, observe a negative correlation between age and plasma mitochondrial DNA levels in individuals with well-controlled HIV.

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Professor > Associate Professor 7 16%
Researcher 6 13%
Student > Bachelor 4 9%
Student > Master 4 9%
Other 7 16%
Unknown 10 22%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Agricultural and Biological Sciences 10 22%
Biochemistry, Genetics and Molecular Biology 7 16%
Immunology and Microbiology 6 13%
Design 1 2%
Other 0 0%
Unknown 10 22%