Polymerase chain reaction detection of Leishmania DNA in skin biopsy samples in Sri Lanka where the causative agent of cutaneous leishmaniasis is Leishmania donovani

Leishmania donovani is the known causative agent of both cutaneous (CL) and visceral leishmaniasis in Sri Lanka. CL is considered to be under-reported partly due to relatively poor sensitivity and specificity of microscopic diagnosis. We compared robustness of three previously described polymerase chain reaction (PCR) based methods to detect Leishmania DNA in 38 punch biopsy samples from patients presented with suspected lesions in 2010. Both, Leishmania genus-specific JW11/JW12 KDNA and LITSR/L5.8S internal transcribed spacer (ITS)1 PCR assays detected 92% (35/38) of the samples whereas a KDNA assay specific for L. donovani (LdF/LdR) detected only 71% (27/38) of samples. All positive samples showed a L. donovani banding pattern upon HaeIII ITS1 PCR-restriction fragment length polymorphism analysis. PCR assay specificity was evaluated in samples containing Mycobacterium tuberculosis , Mycobacterium leprae , and human DNA, and there was no cross-amplification in JW11/JW12 and LITSR/L5.8S PCR assays. The LdF/LdR PCR assay did not amplify M. leprae or human DNA although 500 bp and 700 bp bands were observed in M. tuberculosis samples. In conclusion, it was successfully shown in this study that it is possible to diagnose Sri Lankan CL with high accuracy, to genus and species identification, using Leishmania DNA PCR assays.

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

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.

Pre-Discharge Screening Trans-Cutaneous Bilirubinometry in Healthy Newborns in Mahdieh Hospital, Tehran

Background: Incidence of jaundice is high in newborn infants. Since well appearing newborns are rapidly and routinely discharged from hospital, performing an inexpensive noninvasive pre-discharge screening test for evaluation of jaundice seems to be necessary. Objectives: This study was conducted to compare the accuracy of cutaneous v/s serum bilirubin measurements in this regard. Patients and Methods: This was a prospective cross sectional study conducted in Mahdieh hospital, Tehran. 613 neonates weighing ≥ 1,800 g with gestational age of ≥ 35 weeks were enrolled. A pre discharge transcutaneous bilirubin test (TcB) was performed in all. Serum samples were taken from neonates with TcB ≥ 5 mg/dL in first and > 8 mg/dL in second 24 hours. Decision for treatment or recheck of bilirubin level after discharge was made based on serum bilirubin results. Results: Based on the study protocol, among 613 studied neonates, 491 (80%) revealed high TcB, of them 240 (49%) cases showed TBC ≥ 5 mg/dL in first and 251 (51 %) in second pre-discharge 24 hours. TcB ranged 3.3 - 17.1, mean TcB in first 24 hours was 6.9 ± 1 .7 (mode 6) and in second 24 hours 9.1 ± 2.1 (mode 10). Of 491 neonates with high TcB, capillary serum sample was taken as the second step and 398 neonates revealed high total serum bilirubin (TsB) with the same protocol for TcB. 108 (27.1%) neonates showed TsB ≥ 5 mg/dL in first and 290 (72.9%) in second 24 hours. According to the study results TcB has a 81% positive predictive value (PPV) in diagnosis of hyperbilirubinemia. Correlation coefficient of TcB and TsB in highest rate is equal to 72% (P value < 0.001). Conclusions: TcB is an inexpensive, noninvasive and precise pre-discharge screening test for evaluation of hyperbilirubinemia, with a high PPV. It is highly recommended to be performed routinely due to high incidence of hyperbilirubinemia in neonates.

Pathway analysis for identification of potential biomarkers in severe cutaneous drug hypersensitivity reactions

Purpose: To construct a cluster model or a gene signature for Stevens-Johnson syndrome (SJS) using pathways analysis in order to identify some potential biomarkers that may be used for early detection of SJS and epidermal necrolysis (TEN) manifestations. Methods: Gene expression profiles of GSE12829 were downloaded from Gene Expression Omnibus database. A total of 193 differentially expressed genes (DEGs) were obtained. We applied these genes to geneMANIA database, to remove ambiguous and duplicated genes, and after that, characterized the gene expression profiles using geneMANIA, DAVID, REACTOME, STRING and GENECODIS which are online software and databases. Results: Out of 193 genes, only 91 were used (after removing the ambiguous and duplicated genes) for topological analysis. It was found by geneMANIA database search that majority of these genes were coexpressed yielding 84.63 % co-expression. It was found that ten genes were in Physical interactions comprising almost 14.33 %. There were < 1 % pathway and genetic interactions with values of 0.97 and 0.06 %, respectively. Final analyses revealed that there are two clusters of gene interactions and 13 genes were shown to be in evident relationship of interaction with regards to hypersensitivity. Conclusion: Analysis of differential gene expressions by topological and database approaches in the current study reveals 2 gene network clusters. These genes are CD3G, CD3E, CD3D, TK1, TOP2A, CDK1, CDKN3, CCNB1, and CCNF. There are 9 key protein interactions in hypersensitivity reactions and may serve as biomarkers for SJS and TEN. Pathways related gene clusters has been identified and a genetic model to predict SJS and TEN early incidence using these biomarker genes has been developed.