Multiomic profiling of cutaneous leishmaniasis infections reveals microbiota-driven mechanisms underlying disease severity.
Camila Farias AmorimVictoria M LovinsTej Pratap SinghFernanda O NovaisJordan C HarrisAlexsandro S LagoLucas Pedreira CarvalhoEdgar Marcelino de CarvalhoDaniel P BeitingPhillip ScottElizabeth A GricePublished in: Science translational medicine (2023)
Leishmania braziliensis is a parasitic infection that can result in inflammation and skin injury with highly variable and unpredictable clinical outcomes. Here, we investigated the potential impact of microbiota on infection-induced inflammatory responses and disease resolution by conducting an integrated analysis of the skin microbiome and host transcriptome on a cohort of 62 patients infected with L. braziliensis . We found that overall bacterial burden and microbiome configurations dominated with Staphylococcus spp. were associated with delayed healing and enhanced inflammatory responses, especially by IL-1 family members. Quantification of host and bacterial transcripts on human lesions revealed that high lesional S. aureus transcript abundance was associated with delayed healing and increased expression of IL-1β. This cytokine was critical for modulating disease outcomes in L. braziliensis -infected mice colonized with S. aureus , given that its neutralization reduced pathology and inflammation. These results highlight how the human microbiome can shape disease outcomes in cutaneous leishmaniasis and suggest pathways toward host-directed therapies to mitigate the inflammatory consequences.
Keyphrases
- endothelial cells
- oxidative stress
- single cell
- end stage renal disease
- rna seq
- ejection fraction
- high glucose
- chronic kidney disease
- induced pluripotent stem cells
- poor prognosis
- newly diagnosed
- gene expression
- staphylococcus aureus
- soft tissue
- signaling pathway
- peritoneal dialysis
- biofilm formation
- risk factors
- stress induced
- pluripotent stem cells
- microbial community
- risk assessment
- pseudomonas aeruginosa
- adipose tissue
- genome wide
- binding protein
- skeletal muscle
- atomic force microscopy
- high speed