Emerging evidence supports that oral microbiota are associated with health and diseases of the esophagus. How oral microbiota change in Chinese patients with esophageal cancer (EC) is unknown, neither is their biomarker role. For an objective to understand alterations of oral microbiota in Chinese EC patients, we conducted a case-control study including saliva samples from 39 EC patients and 51 healthy volunteers. 16S rDNA genes of V3-V4 variable regions were sequenced to identify taxon. Relationship between oral flora and disease was analyzed according to alpha diversity and beta diversity. Resultantly, the Shannon index (p = 0.2) and the Simpson diversity index (p = 0.071) were not significant between the two groups. Yet we still found several species different in abundance between the two groups. For the EC group, the most significantly increased taxa were Firmicutes, Negativicutes, Selenomonadales, Prevotellaceae, Prevotella, and Veillonellaceae, while the most significantly decreased taxa were Proteobacteria, Betaproteobacteria, Neisseriales, Neisseriaceae, and Neisseria. In conclusion, there are significant alterations in abundance of some oral microbiomes between the EC patients and the healthy controls in the studied Chinese participants, which may be meaningful for predicting the development of EC, and the potential roles of these species in EC development deserve further studies.

Background and Aim: Reflux Esophagitis (RE) is caused by a variety of factors including anatomical and functional alterations involved in the pathogenesis. Oral microbiota is influenced by many factors such as heredity, nutrition, environments and host conditions, but little is known about relationship between oral microbiota and RE. The aim of this study was to explore whether the oral microbiota is changed in patients with RE. Methods: To clarify this correlation, fresh saliva samples from all subjects were collected and then oral microorganism diversity was analysed in 55 patients with RE and 51 controls via hypervariable tag sequencing and analyzing the V3-V4 region of the 16S rDNA gene. Results: There was no difference found in oral microbial diversity between RE patients and healthy controls by Shannon diversity index (p=0.60) and Simpson diversity index (p= 0.38). The abundance of Proteobacteria was lower, but Bacteroidetes was higher in patients with RE at the phylum level. At the genus level the abundances of Prevotella,

Primary hepatocellular carcinoma (HCC) is one of the most common malignant tumors. At present, the molecular mechanism of HCC remains unclear. A recent circular RNA (circRNA) profiling study showed that circRBM23 expression was upregulated in HCC tissues. Therefore, in this study, the impact of circRBM23 during the progression of HCC was evaluated. The expression levels of circRBM23 and miR-138 in HCC tissues and HCC cell lines were determined by RT-PCR and the results indicated that circRBM23 expression was increased in the HCC tissues and HCC cell lines, whereas miR-138 expression was decreased. An upregulation of circRBM23 expression in HCC cells was shown to increase cell viability, and also increased the ability of cells to migrate. Downregulation of circRBM23 was found to decrease cell viability, proliferation, and migration, and promote the expression of miR-138 and its related target genes, vimentin, and CCND3. Moreover, miR-138 was found to regulate HCC cell viability and migration, and the levels of vimentin and CCND3 protein expression were found to be inversely correlated with those of miR-138 expression. The downregulation of circRBM23 in HCC tissues can regulate the miR-138-mediated signal pathway by promoting miR-138 expression. The results in vivo demonstrated that circRBM23 is required for the tumorigenesis with downregulation of tumor suppressor miR-138. These data indicated that upregulated circRBM23 functioned as oncogene in HCC through regulating the tumor suppressor miR-138.

BackgroundParalog reduction, the loss of duplicate genes after whole genome duplication (WGD) is a pervasive process. Whether this loss proceeds gene by gene or through deletion of multi-gene DNA segments is controversial, as is the question of fractionation bias, namely whether one homeologous chromosome is more vulnerable to gene deletion than the other.ResultsAs a null hypothesis, we first assume deletion events, on one homeolog only, excise a geometrically distributed number of genes with unknown mean µ, and these events combine to produce deleted runs of length l, distributed approximately as a negative binomial with unknown parameter r, itself a random variable with distribution π(·). A more realistic model requires deletion events on both homeologs distributed as a truncated geometric. We simulate the distribution of run lengths l in both models, as well as the underlying π(r), as a function of µ, and show how sampling l allows us to estimate µ. We apply this to data on a total of 15 genomes descended from 6 distinct WGD events and show how to correct the bias towards shorter runs caused by genome rearrangements. Because of the difficulty in deriving π(·) analytically, we develop a deterministic recurrence to calculate each π(r) as a function of µ and the proportion of unreduced paralog pairs.ConclusionsThe parameter µ can be estimated based on run lengths of single-copy regions. Estimates of µ in real data do not exclude the possibility that duplicate gene deletion is largely gene by gene, although it may sometimes involve longer segments.

BackgroundParalog reduction, the loss of duplicate genes after whole genome duplication (WGD) is a pervasive process. Whether this loss proceeds gene by gene or through deletion of multi-gene DNA segments is controversial, as is the question of fractionation bias, namely whether one homeologous chromosome is more vulnerable to gene deletion than the other.ResultsAs a null hypothesis, we first assume deletion events, on either homeolog, excise a geometrically distributed number of genes with unknown mean μ, and a number r of these events overlap to produce deleted runs of length l. There is a fractionation bias 0 ≤ ϕ ≤ 1 for deletions to fall on one homeolog rather than the other. The parameter r is a random variable with distribution π(·). We simulate the distribution of run lengths l, as well as the underlying π(·), as a function of μ, ϕ and θ, the proportion of remaining genes in duplicate form. We show how sampling l allows us to estimate μ and ϕ. The main part of this work is the derivation of a deterministic recurrence to calculate each π(r) as a function of μ, ϕ and θ.ConclusionsThe recurrence for π provides a deeper mathematical understanding of fractionation process than simulations. The parameters μ and ϕ can be estimated based on run lengths of single-copy regions.

Background: Paralog reduction, the loss of duplicate genes after whole genome duplication (WGD) is a pervasive process. Whether this loss proceeds gene by gene or through deletion of multi-gene DNA segments is controversial, as is the question of fractionation bias, namely whether one homeologous chromosome is more vulnerable to gene deletion than the other.

Immune regulation mechanism of vitamin D level and interleukin (IL)-17/IL-17 receptor (IL-17R) pathway in Crohn's disease was studied. Of 40 clean mature healthy rats, 10 rats were used as control group based on random number table, the remaining 30 rats to establish Crohn's disease rat models. After successful modeling, 30 rats were divided into model group, low-dose group and high-dose group with random number table. On the 1st day after modeling, rats in low-dose group were given a single dose of 1,750 IU of vitamin D, and rats in high-dose group a single dose of 7,500 IU of vitamin D. Changes in the condition of rats after modeling were observed and scored. Enzyme-linked immunosorbent assay was used for detecting IL-12, IL-17 and CXCL11 levels, western blotting for detecting IL-17R level, and flow cytometry for detecting Th1 cell and Th17 cell levels in the lamina propria of colon mucosa. Disease activity index scores were significantly lower in low-dose group and high-dose group of rats than those in model group (P<0.05). Those were significantly lower in high-dose group of rats than those in low-dose group (P<0.05). IL-17 and IL-17R levels were significantly lower in high-dose group of rats than those in low-dose group (P<0.05). Th1 cell level was significantly higher in high-dose group of rats than that in low-dose group (P<0.05), but Th17 cell level was lower than that in low-dose group (P<0.05). IL-12 levels were significantly higher in model group, low-dose group and highdose group of rats than those in control group (P<0.05). CXCL11 levels were significantly lower in model group, low-dose group and high-dose group of rats than those in control group (P<0.05). Vitamin D can effectively treat Crohn's disease, which may improve the chemotaxis and differentiation of Th1 cells by inhibiting IL-17/IL-17R pathway, thereby improving immune function and reducing the severity of disease.

BackgroundThe loss of duplicate genes - fractionation - after whole genome doubling (WGD) is the subject to a debate as to whether it proceeds gene by gene or through deletion of multi-gene chromosomal segments.ResultsWGD produces two copies of every chromosome, namely two identical copies of a sequence of genes. We assume deletion events excise a geometrically distributed number of consecutive genes with mean µ ≥ 1, and these events can combine to produce single-copy runs of length l. If µ = 1, the process is gene-by-gene. If µ > 1, the process at least occasionally excises more than one gene at a time. In the latter case if deletions overlap, the later one simply extends the existing run of single-copy genes. We explore aspects of the predicted distribution of the lengths of single-copy regions analytically, but resort to simulations to show how observing run lengths l allows us to discriminate between the two hypotheses.ConclusionsDeletion run length distributions can discriminate between gene-by-gene fractionation and deletion of segments of geometrically distributed length, even if µ is only slightly larger than 1, as long as the genome is large enough and fractionation has not proceeded too far towards completion.