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Sökning: WFRF:(Chen CX)

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  • Chen, ZH, et al. (författare)
  • Regulation of MUC5AC mucin secretion by depletion of AQP5 in SPC-A1 cells
  • 2006
  • Ingår i: Biochemical and Biophysical Research Communications. - : Elsevier BV. - 1090-2104 .- 0006-291X. ; 342:3, s. 775-781
  • Tidskriftsartikel (refereegranskat)abstract
    • Airway mucus is regulated by many inflammatory mediators such as ILs, TNF-alpha, EGF, PGF2 alpha, LT, and so on. Recently, the relationship between membrane ion channel and Mucus production has been under investigation. The present study aimed to examine whether AQP5 was involved in modulation of mucin expression and secretion in airway submucosal gland cells (SPC-Al). A recombinant plasmid (pShAQP5) containing small hairpin RNA expression cassette targeting AQP5 sequence was constructed. In pShAQP5 transiently transfected cells, ELISA showed MUC5AC synthesis and secretion were increased by 57.9% and 85.3%, respectively, on day 5 after pShAQP5 transfection. While in five stably transfected clones (shAQP5-G1, G2, G3, A2, and A5), the upregulated levels of M MAC mRNA were 118%, 165%, 65% 123%, and 38%, respectively. The elevated levels of M MAC synthesis and secretion varied from 59-156% and 33-166%, respectively. This is the first reliable investigation of the regulation of MUC5AC mucin secretion by silencing AQP5. Further study of the regulatory mechanism between AQPs and mucins may provide new strategies for development of novel antihypersecretory drugs in airway diseases.
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  • Teumer, A, et al. (författare)
  • Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria
  • 2019
  • Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 4130-
  • Tidskriftsartikel (refereegranskat)abstract
    • Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.
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  • Zhang, L, et al. (författare)
  • Using human genetics to understand the epidemiological association between obesity, serum urate, and gout
  • 2023
  • Ingår i: Rheumatology (Oxford, England). - : Oxford University Press (OUP). - 1462-0332 .- 1462-0324. ; 62:10, s. 3280-3290
  • Tidskriftsartikel (refereegranskat)abstract
    • ObjectivesWe aimed to clarify the genetic overlaps underlying obesity-related traits, serum urate, and gout.MethodsWe conducted a comprehensive genome-wide cross-trait analysis to identify genetic correlation, pleiotropic loci, and causal relationships between obesity (the exposure variable), gout (the primary outcome) and serum urate (the secondary outcome). Summary statistics were collected from the hitherto largest genome-wide association studies conducted for BMI (N = 806 834), waist-to-hip ratio (WHR; N = 697 734), WHR adjusted for BMI (WHRadjBMI; N = 694 649), serum urate (N = 288 649), and gout (Ncases = 13 179 and Ncontrols = 750 634).ResultsPositive overall genetic correlations were observed for BMI (rg = 0.27, P = 6.62 × 10−7), WHR (rg = 0.22, P = 6.26 × 10−7) and WHRadjBMI (rg = 0.07, P = 6.08 × 10−3) with gout. Partitioning the whole genome into 1703 LD (linkage disequilibrium)-independent regions, a significant local signal at 4q22 was identified for BMI and gout. The global and local shared genetic basis was further strengthened by the multiple pleiotropic loci identified in the cross-phenotype association study, multiple shared gene–tissue pairs observed by Transcriptome-wide association studies, as well as causal relationships demonstrated by Mendelian randomization [BMI–gout: OR (odds ratio) = 1.66, 95% CI = 1.45, 1.88; WHR–gout: OR = 1.57, 95% CI = 1.37, 1.81]. Replacing the binary disease status of gout with its latent pathological measure, serum urate, a similar pattern of correlation, pleiotropy and causality was observed with even more pronounced magnitude and significance.ConclusionOur comprehensive genome-wide cross-trait analysis demonstrates a shared genetic basis and pleiotropic loci, as well as a causal relationship between obesity, serum urate, and gout, highlighting an intrinsic link underlying these complex traits.
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