Úlceras leishmanióticas cutâneas com presença de Corynebacterium diphtheriae

Vera, Luis Angel; Macêdo, Vanize; Magalhães, Albino Verçosa de; Ciuffo, Isolina Allen; Santos, Conceição Guerra; Santos, João Barberino

doi:10.1590/s0037-86822002000400006

Cited by 4 publications

(1 citation statement)

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“…Secondary bacterial infections are frequently observed in LCL patients. This condition, in addition to being uncomfortable for the patient, may sometimes impair the healing process of ulcer and require antibiotic treatment ( Vera et al 2002 , 2006 , Fontes et al 2005 , Gonçalves et al 2009 ).…”

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confidence: 99%

The microbiological signature of human cutaneous leishmaniasis lesions exhibits restricted bacterial diversity compared to healthy skin

Salgado

Queiroz

Sanabani

et al. 2016

Mem. Inst. Oswaldo Cruz

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Localised cutaneous leishmaniasis (LCL) is the most common form of cutaneous leishmaniasis characterised by single or multiple painless chronic ulcers, which commonly presents with secondary bacterial infection. Previous culture-based studies have found staphylococci, streptococci, and opportunistic pathogenic bacteria in LCL lesions, but there have been no comparisons to normal skin. In addition, this approach has strong bias for determining bacterial composition. The present study tested the hypothesis that bacterial communities in LCL lesions differ from those found on healthy skin (HS). Using a high throughput amplicon sequencing approach, which allows for better populational evaluation due to greater depth coverage and the Quantitative Insights Into Microbial Ecology pipeline, we compared the microbiological signature of LCL lesions with that of contralateral HS from the same individuals.Streptococcus, Staphylococcus,Fusobacterium and other strict or facultative anaerobic bacteria composed the LCL microbiome. Aerobic and facultative anaerobic bacteria found in HS, including environmental bacteria, were significantly decreased in LCL lesions (p < 0.01). This paper presents the first comprehensive microbiome identification from LCL lesions with next generation sequence methodology and shows a marked reduction of bacterial diversity in the lesions.

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confidence: 99%