Endosomal transport is critical for cellular processes ranging from receptor down-regulation and retroviral budding to the immune response. A full understanding of endosome sorting requires a comprehensive picture of the multiprotein complexes that orchestrate vesicle formation and fusion. Here, we use unsupervised, large-scale phenotypic analysis and a novel computational approach for the global identification of endosomal transport factors. This technique effectively identifies components of known and novel protein assemblies. We report the characterization of a previously undescribed endosome sorting complex that contains two well-conserved proteins with four predicted membrane-spanning domains. Vps55p and Vps68p form a complex that acts with or downstream of ESCRT function to regulate endosomal trafficking. Loss of Vps68p disrupts recycling to the TGN as well as onward trafficking to the vacuole without preventing the formation of lumenal vesicles within the MVB. Our results suggest the Vps55/68 complex mediates a novel, conserved step in the endosomal maturation process. INTRODUCTIONEndosomal protein sorting is a highly conserved cellular process that is required for receptor down-regulation, viral replication, and development (Katzmann et al., 2002;Morita and Sundquist, 2004). Much progress has been made in recent years in identifying distinct multiprotein complexes that regulate the fusion of primary endocytic vesicles, the maturation of an early endosome into a multivesicular body (MVB), and the recycling of proteins and lipids to other organelles (Gruenberg and Stenmark, 2004;Bonifacino and Rojas, 2006). The ESCRT-I, -II, and -III complexes (endosomal-sorting complex required for transport), which act in sequence to regulate the formation of internal vesicles at the MVB, play a central role in endosome biogenesis (Katzmann et al., 2002;Hurley and Emr, 2006). Other transport complexes regulate the targeting and fusion of endosomes or endosome-derived vesicles with other organelles (Bowers and Stevens, 2005;Bonifacino and Rojas, 2006).Many components of the endosomal-sorting machinery were first identified in yeast genetic screens for mutants that are defective in protein transport to the yeast vacuole, which requires functional endosomal sorting and recycling (Bowers and Stevens, 2005). Most of these components have a conserved role in endosome biogenesis in higher cells. Mammalian homologues have been identified for most if not all yeast ESCRT subunits (von Schwedler et al., 2003;Hurley and Emr, 2006), and at least some of the machinery that regulates recycling from the MVB is also well conserved. For example, the five-subunit retromer complex that mediates endosome-to-trans-Golgi network (TGN) transport in yeast is associated with tubular regions of the endosome in mammalian cells and mediates retrograde transport (Arighi et al., 2004;Seaman, 2004). In the past 20 years, classical genetic screens have identified more than 50 vacuole protein-sorting (VPS) genes (Bowers and Stevens, 2005). Surprisingly, ...
Purpose The aim of the study is to conduct a meta-analysis examining the impact of motivational interviewing (MI) on hearing aid (HA) use compared with standard care. Research Design The research design is a systematic review and meta-analysis. Cochrane ENT, Central, Medline, Web of Science, ICTRP, and ClinicalTrials.gov electronic databases were searched. Inclusion criteria consisted of randomized controlled trials (RCTs) published between 1988 and 2018 that compared MI to standard care. Study Sample The study sample consists of four RCTs, investigating a total of 176 patients. Data Collection and Analysis RevMan 5.3 and a random effect model were used for analysis. Results The standardized mean difference in data-logged hours of HA use was not statistically significant (0.34 [95% confidence interval or CI: −0.10, 0.78; p = 0.13]). The mean difference for user-reported outcomes on the International Outcome Inventory—Hearing Aids of 0.41 [CI: −1.00, 1.82; p = 0.57] was also not significant. Conclusion There is no current evidence that MI significantly improves HA use or user-reported outcomes. However, there were limited studies included in this review and further research is indicated.
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