More and more evidences have ensured the crucial functions of long non-coding RNAs (lncRNAs) in multiple tumors. It has been discovered that lncRNA-SNHG16 is involved in many tumors. Even so, it is still necessary to study SNHG16 comprehensively in bladder cancer. In terms of our study, the level of SNHG16 both in the tumor tissues and cell lines was measured and the relationship among SNHG16, clinicopathological traits and prognosis was explored. Interference assays were applied to determine the biological functions of SNHG16. It was discovered that the level of SNHG16 was evidently enhanced both in tissues and cell lines of bladder cancer. Patients with highly expressed SNHG16 suffered from poor overall survival. Multivariable Cox proportional hazards regression analysis implied that highly expressed SNHG16 could be used as an independent prognostic marker. It could be known from functional assays that silenced SNHG16 impaired cell proliferation, owing to the effects of SNHG16 on cell cycle and apoptosis. Finally, mechanism experiments revealed that SNHG16 could epigenetically silence the expression of p21. The facts above pointed out that lncRNA-SNHG16 might be quite vital for the diagnosis and development of bladder cancer, and could even become an important therapeutic target for bladder cancer.

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The human ear is a delicate sensory apparatus of hearing for normal communication, and its proper functioning is highly dependent on mitochondrial oxidative phosphorylation. The first mitochondrial point mutation for nonsyndromic and aminoglycoside-induced hearing loss was identified in 1993. Since then a number of inherited mitochondrial mutations have been implicated in hearing loss. Most of the molecular defects responsible for mitochondrial disorder-associated hearing loss are mutations in the 12S rRNA gene and tRNA genes. In this review, after a short description of normal hearing mechanisms and mitochondrial genetics, we outline the recent advances that have been made in the identification of deafness-associated mitochondrial mutations, and discuss how mitochondrial dysfunction contributes to hearing loss.

BackgroundHereditary hearing loss is genetically heterogeneous, and hundreds of mutations in than 60 genes are involved in this disease. Therefore, it is difficult to identify the causative gene mutations involved. In this study, we combined targeted genomic capture and massively parallel sequencing (MPS) to address this issue.MethodsUsing targeted genomic capture and MPS, 104 genes and three microRNA regions were selected and simultaneously sequenced in 23 unrelated probands of Chinese families with nonsyndromic hearing loss. The results were validated by Sanger sequencing for all available members of the probands’ families. To analyze the possible pathogenic functional effects of the variants, three types of prediction programs (Mutation Taster, PROVEAN and SIFT) were used. A total of 195 healthy Chinese Han individuals were compared as controls to verify the novel causative mutations.ResultsOf the 23 probands, six had mutations in DFNA genes [WFS1 (n = 2), COCH, ACTG1, TMC1, and POU4F3] known to cause autosomal dominant nonsyndromic hearing loss. These included one novel in-frame indel mutation, three novel missense mutations and two reported missense mutations. Furthermore, one proband from a family with recessive DFNB carried two monoallelic mutations in the GJB2 and USH2A genes. All of these mutations co-segregated with the hearing loss phenotype in 36 affected individuals from 7 families and were predicted to be pathogenic.ConclusionsMutations in uncommon deafness genes contribute to a portion of nonsyndromic deafness cases. In the future, critical gene mutations may be accurately and quickly identified in families with hereditary hearing loss by targeted genomic capture and MPS.Electronic supplementary materialThe online version of this article (doi:10.1186/s12967-014-0311-1) contains supplementary material, which is available to authorized users.

Aims To evaluate the association between glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) and the risk of bone fracture in patients with type 2 diabetes mellitus (T2DM). Materials and methods We conducted a systematic literature search in PubMed, Embase, the Cochrane Library, and Web of Science from inception to 28 February 2018 and identified eligible randomized controlled trials. The following data were extracted from each study: first author, year of publication, sample size, patient characteristics, study design, intervention drug, control drug, follow‐up time, and incident bone fracture events. A meta‐analysis was conducted using Review Manager 5.3 software to calculate the odds ratio (OR) and 95% confidence intervals (CI) for dichotomous variables. Results A total of 38 studies with 39 795 patients with T2DM were included. There were 241 incident bone fracture cases (107 in the GLP‐1 RAs group and 134 in the control group). Compared with patients who received placebo and other anti‐diabetic drugs, those who received GLP‐1 RAs treatment showed a pooled OR of 0.71 (95% CI, 0.56‐0.91) for bone fracture. Subgroup analysis showed that treatments with liraglutide and lixisenatide were associated with significantly reduced risk of bone fractures (ORs, 0.56; 95% CI, 0.38‐0.81 and 0.55; 95% CI, 0.31‐0.97, respectively). However, other GLP‐1 RAs did not show superiority to placebo or other anti‐diabetic drugs. Moreover, these beneficial effects were dependent on the duration of GLP‐1 RAs treatment, only a GLP‐1 RAs treatment period of more than 52 weeks could significantly lower the risk of bone fracture in patients with T2DM (OR, 0.71; 95% CI, 0.56‐0.91). Conclusions Compared with placebo and other anti‐diabetic drugs, liraglutide and lixisenatide were associated with a significant reduction in the risk of bone fractures, and the beneficial effects were dependent on the duration of treatment.

Wolfram syndrome (WS) is a rare, progressive, neurodegenerative disorder that has an autosomal recessive pattern of inheritance. The gene for WS, wolfram syndrome 1 gene (WFS1), is located on human chromosome 4p16.1 and encodes a transmembrane protein. To date, approximately 230 mutations in WFS1 have been confirmed, in which nonsynonymous single nucleotide polymorphisms (nsSNPs) are the most common forms of genetic variation. Nonetheless, there is poor knowledge on the relationship between SNP genotype and phenotype in other nsSNPs of the WFS1 gene. Here, we analysed 395 nsSNPs associated with the WFS1 gene using different computational methods and identified 20 nsSNPs to be potentially pathogenic. Furthermore, to identify the amino acid distributions and significances of pathogenic nsSNPs in the protein of WFS1, its transmembrane domain was constructed by the TMHMM server, which suggested that mutations outside of the TMhelix could have more effects on protein function. The predicted pathogenic mutations for the nsSNPs of the WFS1 gene provide an excellent guide for screening pathogenic mutations.

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