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1.
Microb Pathog ; 149: 104479, 2020 Dec.
Article in English | MEDLINE | ID: mdl-32920149

ABSTRACT

Liver disease has been reported to associate with oral microbiota. This study aimed to identify the salivary microbial structure in liver disease patients and determine whether the disease progression influence the bacterial composition. 16S rDNA high-throughput sequencing and bioinformatic analysis were used to examine oral bacterial diversity in the different status of hepatitis patients including 6 patients with Hepatitis B (Y), 6 patients with Hepatitis B Cirrhosis (YY) and 6 patients with liver cancer (C), and 6 healthy controls (T). Phylogenetic analysis revealed that the genera of Streptococcus, Prevotella, Actinomyces, Veillonella and Neisseria are predominant genus in the saliva of Y, YY, C patients and T group. Lautropia, Abiotrophia and Veillonella were enriched in Y patients, while Treponema, Selenomonas and Oribacterium were also existed in YY patients. Haemophilus, Porphyromonas and Filifactor had high abundance in C patients. The genera of Moryella, Leptotrichia, Lactobacillus, Dialister, Serratia, Enterococcus and Actinobacillus were decreased in all patient samples compared with healthy control samples which may be used for treatment of liver disease. Diversity analyses showed decreased diversity of salivary bacterial communities was discovered in the progress of the liver disease. These findings identified the oral microbiota dysbiosis in liver disease, which may providing available information and possible diagnostic biomarkers for liver patients.


Subject(s)
Liver Neoplasms , Microbiota , Humans , Phylogeny , RNA, Ribosomal, 16S/genetics , Saliva
2.
Gene ; 621: 40-50, 2017 Jul 20.
Article in English | MEDLINE | ID: mdl-28427951

ABSTRACT

Honeybees are susceptible to a variety of diseases, including chalkbrood, which is capable of causing huge losses of both the number of bees and colony productivity. This research is designed to characterize the transcriptome profiles of Ascosphaera apis-treated and un-treated larval guts of Apis mellifera ligustica in an attempt to unravel the molecular mechanism underlying the immune responses of western honeybee larval guts to mycosis. In this study, 24, 296 and 2157 genes were observed to be differentially expressed in A. apis-treated Apis mellifera (4-, 5- and 6-day-old) compared with un-treated larval guts. Moreover, the expression patterns of differentially expressed genes (DEGs) were examined via trend analysis, and subsequently, gene ontology analysis and KEGG pathway enrichment analysis were conducted for DEGs involved in up- and down-regulated profiles. Immunity-related pathways were selected for further analysis, and our results demonstrated that a total of 13 and 50 DEGs were annotated in the humoral immune-related and cellular immune-related pathways, respectively. Additionally, we observed that many DEGs up-regulated in treated guts were part of cellular immune pathways, such as the lysosome, ubiquitin mediated proteolysis, and insect hormone biosynthesis pathways and were induced by A. apis invasion. However, more down-regulated DEGs were restrained. Surprisingly, a majority of DEGs within the Toll-like receptor signaling pathway, and the MAPK signaling pathway were up-regulated in treated guts, while all but two genes involved in the NF-κB signaling pathway were down-regulated, which suggested that most genes involved in humoral immune-related pathways were activated in response to the invasive fungal pathogen. This study's findings provide valuable information regarding the investigation of the molecular mechanism of immunity defenses of A. m. ligustica larval guts to infection with A. apis. Furthermore, these studies lay the groundwork for future researches on key genes controlling the susceptibility of A. m. ligustica larvae to chalkbrood.


Subject(s)
Ascomycota/pathogenicity , Bees/genetics , Intestines/microbiology , Transcriptome , Animals , Bees/immunology , Bees/microbiology , Disease Resistance/genetics , Insect Proteins/genetics , Insect Proteins/metabolism , Intestinal Mucosa/metabolism , Janus Kinases/genetics , Janus Kinases/metabolism , Larva/metabolism , Larva/microbiology , STAT Transcription Factors/genetics , STAT Transcription Factors/metabolism
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