1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      An Integrated Transcriptomic Approach to Identify Molecular Markers of Calcineurin Inhibitor Nephrotoxicity in Pediatric Kidney Transplant Recipients

      research-article

      Read this article at

      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

          Calcineurin inhibitors are highly efficacious immunosuppressive agents used in pediatric kidney transplantation. However, calcineurin inhibitor nephrotoxicity (CNIT) has been associated with the development of chronic renal allograft dysfunction and decreased graft survival. This study evaluated 37 formalin-fixed paraffin-embedded biopsies from pediatric kidney transplant recipients using gene expression profiling. Normal allograft samples ( n = 12) served as negative controls and were compared to biopsies exhibiting CNIT ( n = 11). The remaining samples served as positive controls to validate CNIT marker specificity and were characterized by other common causes of graft failure such as acute rejection ( n = 7) and interstitial fibrosis/tubular atrophy ( n = 7). MiRNA profiles served as the platform for data integration. Oxidative phosphorylation and mitochondrial dysfunction were the top molecular pathways associated with overexpressed genes in CNIT samples. Decreased ATP synthesis was identified as a significant biological function in CNIT, while key toxicology pathways included NRF2-mediated oxidative stress response and increased permeability transition of mitochondria. An integrative analysis demonstrated a panel of 13 significant miRNAs and their 33 CNIT-specific gene targets involved with mitochondrial activity and function. We also identified a candidate panel of miRNAs/genes, which may serve as future molecular markers for CNIT diagnosis as well as potential therapeutic targets.

          Related collections

          Most cited references93

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

          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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

            Exploration, normalization, and summaries of high density oligonucleotide array probe level data.

            In this paper we report exploratory analyses of high-density oligonucleotide array data from the Affymetrix GeneChip system with the objective of improving upon currently used measures of gene expression. Our analyses make use of three data sets: a small experimental study consisting of five MGU74A mouse GeneChip arrays, part of the data from an extensive spike-in study conducted by Gene Logic and Wyeth's Genetics Institute involving 95 HG-U95A human GeneChip arrays; and part of a dilution study conducted by Gene Logic involving 75 HG-U95A GeneChip arrays. We display some familiar features of the perfect match and mismatch probe (PM and MM) values of these data, and examine the variance-mean relationship with probe-level data from probes believed to be defective, and so delivering noise only. We explain why we need to normalize the arrays to one another using probe level intensities. We then examine the behavior of the PM and MM using spike-in data and assess three commonly used summary measures: Affymetrix's (i) average difference (AvDiff) and (ii) MAS 5.0 signal, and (iii) the Li and Wong multiplicative model-based expression index (MBEI). The exploratory data analyses of the probe level data motivate a new summary measure that is a robust multi-array average (RMA) of background-adjusted, normalized, and log-transformed PM values. We evaluate the four expression summary measures using the dilution study data, assessing their behavior in terms of bias, variance and (for MBEI and RMA) model fit. Finally, we evaluate the algorithms in terms of their ability to detect known levels of differential expression using the spike-in data. We conclude that there is no obvious downside to using RMA and attaching a standard error (SE) to this quantity using a linear model which removes probe-specific affinities.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Therapeutic targeting of microRNAs: current status and future challenges.

              MicroRNAs (miRNAs) are evolutionarily conserved small non-coding RNAs that have crucial roles in regulating gene expression. Increasing evidence supports a role for miRNAs in many human diseases, including cancer and autoimmune disorders. The function of miRNAs can be efficiently and specifically inhibited by chemically modified antisense oligonucleotides, supporting their potential as targets for the development of novel therapies for several diseases. In this Review we summarize our current knowledge of the design and performance of chemically modified miRNA-targeting antisense oligonucleotides, discuss various in vivo delivery strategies and analyse ongoing challenges to ensure the specificity and efficacy of therapeutic oligonucleotides in vivo. Finally, we review current progress on the clinical development of miRNA-targeting therapeutics.
                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                21 May 2021
                June 2021
                : 22
                : 11
                : 5414
                Affiliations
                [1 ]Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA 23507, USA; rhoneET@ 123456evms.edu
                [2 ]Surgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland, Baltimore, MD 21201, USA; ebardhi@ 123456som.umaryland.edu
                [3 ]Cardiovascular Research Center, University of Virginia, Charlottesville, VA 22908, USA; sb6ce@ 123456hscmail.mcc.virginia.edu
                [4 ]Arkana Laboratories, Little Rock, AR 72211, USA; patrick.walker@ 123456arkanalabs.com
                [5 ]Aurora Diagnostics–Sonic Healthcare, Bernhardt Laboratories, Jacksonville, FL 32216, USA; cdumur@ 123456auroradx.com (C.I.D.); jalmenara@ 123456auroradx.com (J.A.A.)
                [6 ]Department of Pathology, University of Virginia, Charlottesville, VA 22908, USA; hpc4f@ 123456virginia.edu
                [7 ]Division of Transplantation, Department of Surgery, School of Medicine, University of Maryland, Baltimore, MD 21201, USA; dmaluf@ 123456som.umaryland.edu
                [8 ]Program of Transplantation, School of Medicine, University of Maryland, Baltimore, MD 21201, USA
                Author notes
                [* ]Correspondence: vmas@ 123456som.umaryland.edu ; Tel.: +1-410-706-3565
                [†]

                Authors contributed equally.

                Article
                ijms-22-05414
                10.3390/ijms22115414
                8196602
                34063776
                9e6a5512-7b56-4fe6-b078-e4a2ef414797
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 11 April 2021
                : 17 May 2021
                Categories
                Article

                Molecular biology
                pediatrics,kidney transplantation,calcineurin inhibitor nephrotoxicity
                Molecular biology
                pediatrics, kidney transplantation, calcineurin inhibitor nephrotoxicity

                Comments

                Comment on this article