Cutaneous Leishmania mexicana Infections in the United States: Defining Strains Through Endemic Human Pediatric Cases in Northern Texas.
Binita NepalClare McCormick-BawKarisma PatelSarah FirmaniDawn M WetzelPublished in: medRxiv : the preprint server for health sciences (2024)
Over a six-month span, three patients under five years old with cutaneous leishmaniasis presented to the Pediatric Infectious Diseases Clinic at the University of Texas Southwestern Medical Center/Children's Health Dallas. None had traveled outside of the United States (US); all had confirmed L. mexicana infections by PCR. We provide case descriptions and images to increase the awareness of this disease among US physicians and scientists. Two patients responded to fluconazole, but one required topical paromomycin. Combining these cases with guidelines and our literature review, we suggest that: 1) higher doses (ten-twelve mg/kg/day) of fluconazole should be considered in young children to maximize likelihood and rapidity of response and 2) patients should transition to alternate agents if they do not respond to high-dose fluconazole within six weeks. Furthermore, and of particular interest to the broad microbiology community, we used samples from these cases as a proof-of-concept to propose a mechanism to strain-type US-endemic L. mexicana. For our analysis, we sequenced three housekeeping genes and the internal transcribed sequence 2 of the ribosomal RNA gene. We identified genetic changes that not only allow us to distinguish US-based L. mexicana strains from strains found in other areas of the Americas, but also establish polymorphisms that differ between US isolates. These techniques will allow documentation of genetic changes in this parasite as its range expands. Hence, our cases of cutaneous leishmaniasis provide significant evolutionary, treatment and public health implications as climate change increases exposure to formerly tropical diseases in previously non-endemic areas.
Keyphrases
- end stage renal disease
- public health
- climate change
- chronic kidney disease
- newly diagnosed
- ejection fraction
- genome wide
- healthcare
- peritoneal dialysis
- high dose
- escherichia coli
- prognostic factors
- endothelial cells
- mental health
- deep learning
- low dose
- dna methylation
- transcription factor
- patient reported outcomes
- risk assessment
- copy number
- machine learning
- optical coherence tomography
- combination therapy
- nucleic acid
- data analysis
- trypanosoma cruzi