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Sökning: WFRF:(Jia Shi) > (2010-2014)

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1.
  • Klionsky, Daniel J., et al. (författare)
  • Guidelines for the use and interpretation of assays for monitoring autophagy
  • 2012
  • Ingår i: Autophagy. - : Informa UK Limited. - 1554-8635 .- 1554-8627. ; 8:4, s. 445-544
  • Forskningsöversikt (refereegranskat)abstract
    • In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.
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  • Jia, Zhaobao, et al. (författare)
  • Health-related quality of life of "left-behind children" : a cross-sectional survey in rural China.
  • 2010
  • Ingår i: Quality of Life Research. - : Springer. - 0962-9343 .- 1573-2649. ; 19:6, s. 775-780
  • Tidskriftsartikel (refereegranskat)abstract
    • PURPOSE: To estimate the prevalence of children in rural China without constant parental guardians (i.e., "left-behind"), to examine whether left-behind children were associated with lower health-related quality of life (HRQOL) than their counterparts ("non-left-behind").METHODS: A stratified two-stage cluster survey was conducted among 640 children aged between 8 and 14 in a county of Shandong province. HRQOL was assessed in 606 participants using the Pediatric Quality of Life Inventory (PedsQL).RESULTS: The estimated prevalence of left-behind children in the area was estimated at 53.5% (324/606). The mean PedsQL total scores were lower in the left-behind children than the non-left-behind (84.1 vs. 88.4; P < 0.01), as were psychosocial summary, emotional functioning, social functioning and school performance scores, while mean physical subscale scores did not differ significantly (85.4 vs. 86.2; P = 0.31). As age, education level and economic status increased, HRQOL of the children was significantly improved.CONCLUSIONS: Left-behind children report poorer HRQOL than non-left-behind children due to psychosocial dysfunction. An assessment of such problems is essential to estimate the need of rural children, for the identification of those at particular risk for lower quality of life, and for planning and implementation of appropriate health interventions.
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