64
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Chronic kidney disease (CKD) affects 8 to 16% people worldwide, with an increasing incidence and prevalence of end-stage kidney disease (ESKD). The effective management of CKD is confounded by the inability to identify patients at high risk of progression while in early stages of CKD. To address this challenge, a renal biopsy transcriptome-driven approach was applied to develop noninvasive prognostic biomarkers for CKD progression. Expression of intrarenal transcripts was correlated with the baseline estimated glomerular filtration rate (eGFR) in 261 patients. Proteins encoded by eGFR-associated transcripts were tested in urine for association with renal tissue injury and baseline eGFR. The ability to predict CKD progression, defined as the composite of ESKD or 40% reduction of baseline eGFR, was then determined in three independent CKD cohorts. A panel of intrarenal transcripts, including epidermal growth factor (EGF), a tubule-specific protein critical for cell differentiation and regeneration, predicted eGFR. The amount of EGF protein in urine (uEGF) showed significant correlation (P < 0.001) with intrarenal EGF mRNA, interstitial fibrosis/tubular atrophy, eGFR, and rate of eGFR loss. Prediction of the composite renal end point by age, gender, eGFR, and albuminuria was significantly (P < 0.001) improved by addition of uEGF, with an increase of the C-statistic from 0.75 to 0.87. Outcome predictions were replicated in two independent CKD cohorts. Our approach identified uEGF as an independent risk predictor of CKD progression. Addition of uEGF to standard clinical parameters improved the prediction of disease events in diverse CKD populations with a wide spectrum of causes and stages.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: not found

          Chronic kidney disease as a global public health problem: approaches and initiatives - a position statement from Kidney Disease Improving Global Outcomes.

          Chronic kidney disease (CKD) is increasingly recognized as a global public health problem. There is now convincing evidence that CKD can be detected using simple laboratory tests, and that treatment can prevent or delay complications of decreased kidney function, slow the progression of kidney disease, and reduce the risk of cardiovascular disease (CVD). Translating these advances to simple and applicable public health measures must be adopted as a goal worldwide. Understanding the relationship between CKD and other chronic diseases is important to developing a public health policy to improve outcomes. The 2004 Kidney Disease Improving Global Outcomes (KDIGO) Controversies Conference on 'Definition and Classification of Chronic Kidney Disease' represented an important endorsement of the Kidney Disease Outcome Quality Initiative definition and classification of CKD by the international community. The 2006 KDIGO Controversies Conference on CKD was convened to consider six major topics: (1) CKD classification, (2) CKD screening and surveillance, (3) public policy for CKD, (4) CVD and CVD risk factors as risk factors for development and progression of CKD, (5) association of CKD with chronic infections, and (6) association of CKD with cancer. This report contains the recommendations from the meeting. It has been reviewed by the conference participants and approved as position statement by the KDIGO Board of Directors. KDIGO will work in collaboration with international and national public health organizations to facilitate implementation of these recommendations.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality.

            The established chronic kidney disease (CKD) progression end point of end-stage renal disease (ESRD) or a doubling of serum creatinine concentration (corresponding to a change in estimated glomerular filtration rate [GFR] of −57% or greater) is a late event. To characterize the association of decline in estimated GFR with subsequent progression to ESRD with implications for using lesser declines in estimated GFR as potential alternative end points for CKD progression. Because most people with CKD die before reaching ESRD, mortality risk also was investigated. Individual meta-analysis of 1.7 million participants with 12,344 ESRD events and 223,944 deaths from 35 cohorts in the CKD Prognosis Consortium with a repeated measure of serum creatinine concentration over 1 to 3 years and outcome data. Transfer of individual participant data or standardized analysis of outputs for random-effects meta-analysis conducted between July 2012 and September 2013, with baseline estimated GFR values collected from 1975 through 2012. End-stage renal disease (initiation of dialysis or transplantation) or all-cause mortality risk related to percentage change in estimated GFR over 2 years, adjusted for potential confounders and first estimated GFR. The adjusted hazard ratios (HRs) of ESRD and mortality were higher with larger estimated GFR decline. Among participants with baseline estimated GFR of less than 60 mL/min/1.73 m2, the adjusted HRs for ESRD were 32.1 (95% CI, 22.3-46.3) for changes of −57% in estimated GFR and 5.4 (95% CI, 4.5-6.4) for changes of −30%. However, changes of −30% or greater (6.9% [95% CI, 6.4%-7.4%] of the entire consortium) were more common than changes of −57% (0.79% [95% CI, 0.52%-1.06%]). This association was strong and consistent across the length of the baseline period (1 to 3 years), baseline estimated GFR, age, diabetes status, or albuminuria. Average adjusted 10-year risk of ESRD (in patients with a baseline estimated GFR of 35 mL/min/1.73 m2) was 99% (95% CI, 95%-100%) for estimated GFR change of −57%, was 83% (95% CI, 71%-93%) for estimated GFR change of −40%, and was 64% (95% CI, 52%-77%) for estimated GFR change of −30% vs 18% (95% CI, 15%-22%) for estimated GFR change of 0%. Corresponding mortality risks were 77% (95% CI, 71%-82%), 60% (95% CI, 56%-63%), and 50% (95% CI, 47%-52%) vs 32% (95% CI, 31%-33%), showing a similar but weaker pattern. Declines in estimated GFR smaller than a doubling of serum creatinine concentration occurred more commonly and were strongly and consistently associated with the risk of ESRD and mortality, supporting consideration of lesser declines in estimated GFR (such as a 30% reduction over 2 years) as an alternative end point for CKD progression.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Chronic kidney disease awareness, prevalence, and trends among U.S. adults, 1999 to 2000.

              The incidence of kidney failure treatment in the United States increased 57% from 1991 to 2000. Chronic kidney disease (CKD) prevalence was 11% among U.S. adults surveyed in 1988 to 1994. The objective of this study was to estimate awareness of CKD in the U.S. population during 1999 to 2000 and to determine whether the prevalence of CKD in the United States increased compared with 1988 to 1994. Analysis was conducted of nationally representative samples of noninstitutionalized adults, aged 20 yr and older, in two National Health and Nutrition Examination Surveys conducted in 1988 to 1994 (n = 15,488) and 1999 to 2000 (n = 4101) for prevalence +/- SE. Awareness of CKD is self-reported. Kidney function (GFR), kidney damage (microalbuminuria or greater), and stages of CKD (GFR and albuminuria) were estimated from calibrated serum creatinine, spot urine albumin to creatinine ratio (ACR), age, gender, and race. GFR was estimated using the simplified Modification of Diet in Renal Disease Study equation. Self-reported awareness of weak or failing kidneys in 1999 to 2000 was strongly associated with decreased kidney function and albuminuria but was low even in the presence of both conditions. Only 24.3 +/- 6.4% of patients at GFR 15 to 59 ml/min per 1.73 m(2) and albuminuria were aware of CKD compared with 1.1 +/- 0.3% at GFR of 90 ml/min per 1.73 m(2) or greater and no microalbuminuria. At moderately decreased kidney function (GFR 30 to 59 ml/min per 1.73 m(2)), awareness was much lower among women than men (2.9 +/- 1.6 versus 17.9 +/- 5.9%; P = 0.008). The prevalence of moderately or severely decreased kidney function (GFR 15 to 59 ml/min per 1.73 m(2)) remained stable over the past decade (4.4 +/- 0.3% in 1988 to 1994 and 3.8 +/- 0.4% in 1999 to 2000; P = 0.23). At the same time, the prevalence of albuminuria (ACR >/= 30 mg/g) in single spot urine increased from 8.2 +/- 0.4% to 10.1 +/- 0.7% (P = 0.01). Overall CKD prevalence was similar in both surveys (9% using ACR > 30 mg/g for persistent microalbuminuria; 11% in 1988 to 1994 and 12% in 1999 to 2000 using gender-specific ACR cutoffs). Despite a high prevalence, CKD awareness in the U.S. population is low. In contrast to the dramatic increase in treated kidney failure, overall CKD prevalence in the U.S. population has been relatively stable.
                Bookmark

                Author and article information

                Journal
                Sci Transl Med
                Science translational medicine
                1946-6242
                1946-6234
                Dec 2 2015
                : 7
                : 316
                Affiliations
                [1 ] Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA. wenjunj@med.umich.edu kretzler@umich.edu.
                [2 ] Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
                [3 ] Renal Division, Department of Internal Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China.
                [4 ] Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA. Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA.
                [5 ] Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
                [6 ] Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA. Arbor Research Collaborative for Health, Ann Arbor, MI 48104, USA.
                [7 ] Department of Pediatrics, University of Michigan, Ann Arbor, MI 48109, USA.
                [8 ] Roche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
                [9 ] Division of Nephrology, Institute of Physiology, University of Zurich, CH-8006 Zürich, Switzerland.
                [10 ] Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
                [11 ] Department of Pathology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
                [12 ] Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA. Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA.
                [13 ] Temple Clinical Research Institute, Temple University School of Medicine, Philadelphia, PA 19140, USA.
                Article
                7/316/316ra193 NIHMS779671
                10.1126/scitranslmed.aac7071
                26631632
                c126d04e-3306-454e-b1ac-073b49754cf9
                Copyright © 2015, American Association for the Advancement of Science.
                History

                Comments

                Comment on this article