Health Outcomes at School Age among Children Who Are HIV-Exposed but Uninfected with Detected Mitochondrial DNA Depletion at One Year.
Audrey MonninNicolas NagotSabrina Eymard-DuvernayNicolas MedaJames K TumwineTylleskar ThorkildPhilippe Van de PerreJean-Pierre MolèsPublished in: Journal of clinical medicine (2020)
Infant antiretroviral (ARV) prophylaxis given to children who are human immunodeficiency virus (HIV)-exposed but uninfected (CHEU) to prevent HIV transmission through breastfeeding previously proved its efficacy in the fight against the pediatric epidemic. However, few studies have investigated the short- and long-term safety of prophylactic regimens. We previously reported a decrease of mitochondrial DNA (mtDNA) content among CHEU who received one year of lamivudine (3TC) or lopinavir-boosted ritonavir (LPV/r) as infant prophylaxis. We aimed to describe mtDNA content at six years of age among these CHEU, including those for whom we identified mtDNA depletion at week 50 (decrease superior or equal to 50% from baseline), and to compare the two prophylactic drugs. We also addressed the association between mtDNA depletion at week 50 with growth, clinical, and neuropsychological outcomes at year 6. Quantitative PCR was used to measure mtDNA content in whole blood of CHEU seven days after birth, at week 50, and at year 6. Among CHEU with identified mtDNA depletion at week 50 (n = 17), only one had a persistent mtDNA content decrease at year 6. No difference between prophylactic drugs was observed. mtDNA depletion was not associated with growth, clinical, or neuropsychological outcomes at year 6. This study brought reassuring data concerning the safety of infant 3TC or LPV/r prophylaxis.
Keyphrases
- mitochondrial dna
- human immunodeficiency virus
- hiv infected
- antiretroviral therapy
- copy number
- hiv positive
- hiv infected patients
- hepatitis c virus
- hiv aids
- hiv testing
- genome wide
- men who have sex with men
- clinical trial
- randomized controlled trial
- south africa
- pregnant women
- machine learning
- young adults
- big data
- type diabetes
- artificial intelligence
- high resolution
- electronic health record
- data analysis
- weight loss