Evaluation of urinary autophagy transcripts expression in diabetic kidney disease.

Background: We identified and validated novel urinary autophagy markers in diabetic kidney disease (DKD) based on bioinformatics analysis and clinical validation.Patients& Methods: We retrieved three novel autophagy genes related to DKD from public microarray databases, namely; microtubule-associate...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Diabetes & its Complications Vol. 31; no. 10; pp. 1491 - 1499
Autores principales: Matboli, Marwa, Azazy, Ahmed E.M., Adel, Seham, Bekhet, Miram M., Eissa, Sanaa
Formato: research Journal Article
Publicado: Elsevier B.V. Oct2017
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129403538&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 129403538
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10568727
        JIW
      jtl: Journal of Diabetes & its Complications
      issn: 10568727
      maglogo: N
    pubinfo:
      dt: Oct2017
      vid: 31
      iid: 10
      pid: 82545
      pub: Elsevier B.V.
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        129403538
        129403538
        NLM28760651
        129403538
        10.1016/j.jdiacomp.2017.06.009
        NLM28760651
        129403538
      ppf: 1491
      ppct: 8
      formats:
      tig:
        atl: Evaluation of urinary autophagy transcripts expression in diabetic kidney disease.
      aug:
        au:
          Matboli, Marwa
          Azazy, Ahmed E.M.
          Adel, Seham
          Bekhet, Miram M.
          Eissa, Sanaa
        affil: Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, Abbassia, P.O. Box 11381, Cairo, Egypt
      sug:
        subj:
          Membrane Proteins Metabolism
          Nerve Tissue Proteins Metabolism
          RNA Urine
          Protein-Tyrosine Kinases Metabolism
          Carrier Proteins Metabolism
          Diabetic Nephropathies Urine
          Biochemical Phenomena
          Diabetes Mellitus, Type 2 Complications
          Renal Insufficiency Diagnosis
          Diabetic Nephropathies Metabolism
          Kidney Physiopathology
          RNA Metabolism
          Carrier Proteins
          Autophagy
          Nerve Tissue Proteins
          Kidney Metabolism
          Membrane Proteins
          Aged
          Male
          Female
          Genes
          Bioinformatics
          Severity of Illness Indices
          Renal Insufficiency Complications
          Middle Age
          Renal Insufficiency Metabolism
          Prospective Studies
          Diabetic Nephropathies Diagnosis
          Human
          Albuminuria Etiology
          Diabetic Nephropathies Physiopathology
          Sensitivity and Specificity
          Protein-Tyrosine Kinases
          Renal Insufficiency Physiopathology
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Aged: 65+ years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Background: We identified and validated novel urinary autophagy markers in diabetic kidney disease (DKD) based on bioinformatics analysis and clinical validation.Patients& Methods: We retrieved three novel autophagy genes related to DKD from public microarray databases, namely; microtubule-associated protein light chain (MAP1LC3A), WD Repeat Domain, Phosphoinositide Interacting 2 (WIPI2), and RB1-Inducible Coiled-Coil 1 (RB1CC1). Secondly we assessed the expression of the chosen autophagy transcript in urine sediment of 86 patients with DKD and 74 (age and sex matched) controls by reverse transcription quantitative real-time PCR.Results: The urinary expression levels of MAP1LC3A, WIPI, RB1CC1 were significantly lower in DKD than control group (P<0.001).The receiver-operating characteristic curve (ROC) analyses that each urinary autophagy transcript showed high sensitivity and specificity for distinguishing DKD from control (MAP1LC3A, 81.4% and 81.1%; WIPI, 74.4% and 67.6%, and RB1CC1, 81.4%,70.3%, respectively). Notably, a negative correlation was found between these autophagy markers, serum creatinine and urinary albumin creatinine ratio. The sensitivity and specificity of this urinary autophagy based panel reached 90.6% and 60% in diagnosis of DKD.Conclusion: We identified and validated a novel diagnostic urinary autophagy based panel with high sensitivity and moderate specificity representing a vital player in the pathogenesis of DKD.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N