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Assessing Onchocerca volvulus Intensity of Infection and Genetic Diversity Using Mitochondrial Genome Sequencing of Single Microfilariae Obtained before and after Ivermectin Treatment.

Shannon M HedtkeYoung-Jun ChoiAnusha KodeGowtam C ChalasaniNeha SirwaniStephen R JadaAn HotterbeekxMichel MandroJoseph Nelson Fodjo SieweGlory Ngongeh AmamboRaphael A AbongSamuel WanjiAnnette C KueselRobert ColebundersMakedonka MitrevaWarwick N Grant
Published in: Pathogens (Basel, Switzerland) (2023)
Onchocerciasis is a neglected tropical disease targeted for elimination using ivermectin mass administration. Ivermectin kills the microfilariae and temporarily arrests microfilariae production by the macrofilariae. We genotyped 436 microfilariae from 10 people each in Ituri, Democratic Republic of the Congo (DRC), and Maridi County, South Sudan, collected before and 4-5 months after ivermectin treatment. Population genetic analyses identified 52 and 103 mitochondrial DNA haplotypes among the microfilariae from DRC and South Sudan, respectively, with few haplotypes shared between people. The percentage of genotype-based correct assignment to person within DRC was ~88% and within South Sudan ~64%. Rarefaction and extrapolation analysis showed that the genetic diversity in DRC, and even more so in South Sudan, was captured incompletely. The results indicate that the per-person adult worm burden is likely higher in South Sudan than DRC. Analyses of haplotype data from a subsample ( n = 4) did not discriminate genetically between pre- and post-treatment microfilariae, confirming that post-treatment microfilariae are not the result of new infections. With appropriate sampling, mitochondrial haplotype analysis could help monitor changes in the number of macrofilariae in a population as a result of treatment, identify cases of potential treatment failure, and detect new infections as an indicator of continuing transmission.
Keyphrases
  • genetic diversity
  • mitochondrial dna
  • oxidative stress
  • machine learning
  • artificial intelligence
  • risk assessment
  • climate change
  • cardiac arrest
  • single cell
  • high intensity
  • electronic health record