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Atopic dermatitis (AD) is a chronic, relapsable and pruritic skin disease, commonly found in children and adolescents. The prevalence of AD is increasing worldwide. It is reported that AD is related to many factors such as genetic inheritance, environment, immunity and skin barrier dysfunction, suggesting a very complex pathogenesis. In recent years, high-throughput technologies in the field of genomics and metabolomics have opened up new perspectives on the pathogenesis of AD, and shown potential application prospects in microbiome transplantation therapies for AD. This review summarized the current advances in the relationship between skin microecology and skin health, the pathogenesis and microbiomic characteristics of AD, features of pathogenic microorganisms, and microbiome transplantation therapies for AD. Based on our own practical experience, we put forward a culturomics research protocol to study the human skin microbiome and a method for quantitative microbiological examination, aiming to provide reference for the prevention, clinical treatment and therapeutic monitoring of AD.
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Objective@#To identify and characterize the 4 strains of Prototheca isolated from the clinical samples of skin or ascites samples in China. @*Methods@#The taxonomic position of 4 yeast-like organisms was revealed by polyphasic taxonomic approach, i.e., cultural and morphologic characteristics, commercial biochemical systems of Vitek 2 (YST kit) and Vitek matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry (MS) systems in combination with phylogenetic analysis based on the gene sequences of 16S and 28S rRNA. @*Results@#The 4 strains of Prototheca were characterized as cream-white, smooth, moist yeast-like colonies on Sabouraud gentamicin chloramph agar after incubation for 3 days. However, round, oval-shaped or elliptical sporangiums with mulberry-like or strawberry-like endospores were observed by optical microscope, which showed distinct differences from the general yeast species. The 4 isolates were identified as Prototheca wickerhamii with Vitek YST kits by Vitek 2 systems and Vitek MALDI-TOF MS systems. The genome for the 4 isolates was characterized with the existence of the prokaryotic 16S rRNA gene and eukaryotic 28S rRNA gene. The 16S rRNA gene sequence of the 4 strains showed more than 99.7% similarity to that of P. wickerhamii. Sequence analysis of 28S rRNA gene showed that the organisms included multiple copies of different sequences, which showed sequence similarities of 91.9% to 100% even in the same strain. The phylogenetic dendrogram based on 16S rRNA and 28S rRNA gene sequences showed that the 4 strains of Prototheca formed a cluster along with P. wickerhamii. @*Conclusion@#The 4 yeast-like organisms could be identified as P. wickerhamii, and 16S rRNA gene should be the suitable molecular target for the identification.
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Objectives To identify the Francisella strain isolated from blood of a patient with drowning-associated pneumonia.Methods The whole genome of the strain,designated Wenzhou1,was sequenced using the high throughput sequencing technology by 2000/miSeq system of Illumina platform,and the obtained genome draft was assembled by MicrobeTrakr Plus software.The phylogenetic neighbors of Wenzhou1 were obtained by NCBI BLAST analysis from GenBank database for the gene sequences of 16S rRNA,malate dehydrogenase(mdh),DNA-directed RNA polymerase subunit beta (rpoB) and succinate dehydrogenase subunit alpha (sdhA).The average nucleotide identity(ANI) between Wenzhou1 and its phylogenetic neighbors was analyzed by the software OrthoANI using NCBI BLAST search under the Java Runtime Environment Version 8.Results The genome size of Wenzhou1 was 1.96 × 106 bp,containing 74 contigs.The genomic G + C mol％ of Wenzhou1 was 32.1％,which was similar to the other species of genus Francisella and Allofranicella.Based on the analysis of NCBI BLAST of GenBank for the similarities of 16S rRNA gene,mdh gene,rpoB gene and sdbA gene sequences,Wenzhou1 was most closely related to F.hispaniensis FSC454 and Francisella cf.novicida 3523.The ANI of Wenzhou1 was 97.8％ to F.hispaniensis FSC454,97.5％ to 97.6％ to Francisella cf.novicida 3523,but only 91.3％ to 91.5％ to the four subspecies of F.tularensis.Conclusion ANI analysis based on whole genome sequence should be an accurate,effective method for bacterial identification.Wenzhou1 could be identified as F.hispaniensis by ANI with high-throughput whole genome sequencing technology.
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Objective: To investigate the cephalometric parameters related with anterior overbite. Methods: 144 patients with malocclusion in permanent dentition (74 skeletal Class I and 70 skeletal Class II) were recruited into the study. Cephalometric analysis was performed from pre-orthodontic lateral headfilm in natural head position. Both linear correlation analysis and stepwise regression analysis were respectively performed in the two groups. Results: In the stepwise regression equation of Class I group, the larger the overjet, posterior facial height and upper incisor height, or the smaller the lower facial height and lower molar height, the deeper the anterior overbite was. In the 70 Class II, the larger the overjet, interincisal angle and inclination of lower incisors, or the smaller the mandibular angle and upper molar height, the deeper the anterior overbite was. The equations could explain 75.8% and 62.3% overbite variations, respectively. Of all the parameters, overjet took the most important part in maintaining a normal and stable anterior overbite. Conclusion: Those cephalometric parameters correlated with anterior overbite can be both dental and skeletal. They may compensate each other to maintain stable anterior overbite. Of them, anterior overjet may be the main factor.