Literature DB >> 22424432

Genomic biomarkers for chronic kidney disease.

Wenjun Ju1, Shahaan Smith, Matthias Kretzler.   

Abstract

Chronic kidney disease (CKD) remains a major challenge in nephrology and for public health care, affecting 14% to 15% of the adult US population and consuming significant health care resources. In the next 20 years, the number of patients with end stage renal disease is projected to increase by 50%. Ideal biomarkers that allow early identification of CKD patients at high risk of progression are urgently needed for early and targeted treatment to improve patient care. Recent success of integrating molecular approaches for personalized management of neoplastic diseases, including diagnosis, staging, prognosis, treatment selection, and monitoring, has strongly encouraged kidney researchers to pursue molecular definitions of patients with kidney disease. Challenges for molecular marker identification in CKD are a high degree of cellular heterogeneity of the kidney and the paucity of human tissue availability for molecular studies. Despite these limitations, potential molecular biomarker candidates have been uncovered at multiple levels along the genome--phenome continuum. Here we will review the identification and validation of potential genomic biomarker candidates of CKD and CKD progression in clinical studies. The challenges in predicting CKD progression, as well as the promises and opportunities resulting from a molecular definition of CKD will be discussed.
Copyright © 2012 Mosby, Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22424432      PMCID: PMC3329158          DOI: 10.1016/j.trsl.2012.01.020

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  72 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification.

Authors: 
Journal:  Am J Kidney Dis       Date:  2002-02       Impact factor: 8.860

3.  Successful application of microarray technology to microdissected formalin-fixed, paraffin-embedded tissue.

Authors:  Renata A Coudry; Sibele I Meireles; Radka Stoyanova; Harry S Cooper; Alan Carpino; Xianqun Wang; Paul F Engstrom; Margie L Clapper
Journal:  J Mol Diagn       Date:  2007-02       Impact factor: 5.568

Review 4.  Predicting initiation and progression of chronic kidney disease: Developing renal risk scores.

Authors:  M W Taal; B M Brenner
Journal:  Kidney Int       Date:  2006-09-13       Impact factor: 10.612

5.  Altered modulation of WNT-beta-catenin and PI3K/Akt pathways in IgA nephropathy.

Authors:  Sharon N Cox; Fabio Sallustio; Grazia Serino; Paola Pontrelli; Raffaella Verrienti; Francesco Pesce; Diletta D Torres; Nicola Ancona; Patrizia Stifanelli; Gianluigi Zaza; Francesco P Schena
Journal:  Kidney Int       Date:  2010-05-19       Impact factor: 10.612

6.  mRNA expression of target genes in the urinary sediment as a noninvasive prognostic indicator of CKD.

Authors:  Cheuk-Chun Szeto; Kai-Ming Chow; Ka-Bik Lai; Carol Yi-Ki Szeto; Rebecca Wing-Yan Chan; Bonnie Ching-Ha Kwan; Kwok-Yi Chung; Philip Kam-Tao Li; Fernand Mac-Moune Lai
Journal:  Am J Kidney Dis       Date:  2006-04       Impact factor: 8.860

7.  Urinary excretion of podocytes in patients with diabetic nephropathy.

Authors:  T Nakamura; C Ushiyama; S Suzuki; M Hara; N Shimada; I Ebihara; H Koide
Journal:  Nephrol Dial Transplant       Date:  2000-09       Impact factor: 5.992

8.  Interstitial vascular rarefaction and reduced VEGF-A expression in human diabetic nephropathy.

Authors:  Maja T Lindenmeyer; Matthias Kretzler; Anissa Boucherot; Silvia Berra; Yoshinari Yasuda; Anna Henger; Felix Eichinger; Stefanie Gaiser; Holger Schmid; Maria P Rastaldi; Robert W Schrier; Detlef Schlöndorff; Clemens D Cohen
Journal:  J Am Soc Nephrol       Date:  2007-05-02       Impact factor: 10.121

Review 9.  TGF-beta in renal injury and disease.

Authors:  Erwin P Böttinger
Journal:  Semin Nephrol       Date:  2007-05       Impact factor: 5.299

10.  Chronic Renal Insufficiency Cohort (CRIC) Study: baseline characteristics and associations with kidney function.

Authors:  James P Lash; Alan S Go; Lawrence J Appel; Jiang He; Akinlolu Ojo; Mahboob Rahman; Raymond R Townsend; Dawei Xie; Denise Cifelli; Janet Cohan; Jeffrey C Fink; Michael J Fischer; Crystal Gadegbeku; L Lee Hamm; John W Kusek; J Richard Landis; Andrew Narva; Nancy Robinson; Valerie Teal; Harold I Feldman
Journal:  Clin J Am Soc Nephrol       Date:  2009-06-18       Impact factor: 8.237

View more
  18 in total

1.  Biomarkers: hopes and challenges in the path from discovery to clinical practice.

Authors:  Nikolaos G Frangogiannis
Journal:  Transl Res       Date:  2012-02-14       Impact factor: 7.012

Review 2.  Perspectives on systems biology applications in diabetic kidney disease.

Authors:  Claudiu V Komorowsky; Frank C Brosius; Subramaniam Pennathur; Matthias Kretzler
Journal:  J Cardiovasc Transl Res       Date:  2012-06-26       Impact factor: 4.132

Review 3.  The nephrologist of tomorrow: towards a kidney-omic future.

Authors:  Mina H Hanna; Alessandra Dalla Gassa; Gert Mayer; Gianluigi Zaza; Patrick D Brophy; Loreto Gesualdo; Francesco Pesce
Journal:  Pediatr Nephrol       Date:  2016-03-09       Impact factor: 3.714

Review 4.  The Michigan O'Brien Kidney Research Center: transforming translational kidney research through systems biology.

Authors:  Markus Bitzer; Wenjun Ju; Lalita Subramanian; Jonathan P Troost; Joseph Tychewicz; Becky Steck; Roger C Wiggins; Debbie S Gipson; Crystal A Gadegbeku; Frank C Brosius; Matthias Kretzler; Subramaniam Pennathur
Journal:  Am J Physiol Renal Physiol       Date:  2022-08-04

5.  Chip-based nLC-TOF-MS is a highly stable technology for large-scale high-throughput analyses.

Authors:  L Renee Ruhaak; Sandra L Taylor; Suzanne Miyamoto; Karen Kelly; Gary S Leiserowitz; David Gandara; Carlito B Lebrilla; Kyoungmi Kim
Journal:  Anal Bioanal Chem       Date:  2013-03-23       Impact factor: 4.142

6.  MTHFR, MTR and MTRR polymorphisms and risk of chronic kidney disease in Japanese: cross-sectional data from the J-MICC Study.

Authors:  Asahi Hishida; Rieko Okada; Yin Guang; Mariko Naito; Kenji Wakai; Satoyo Hosono; Kazuyo Nakamura; Tanvir Chowdhury Turin; Sadao Suzuki; Hideshi Niimura; Haruo Mikami; Jun Otonari; Nagato Kuriyama; Sakurako Katsuura; Michiaki Kubo; Hideo Tanaka; Nobuyuki Hamajima
Journal:  Int Urol Nephrol       Date:  2013-04-18       Impact factor: 2.370

Review 7.  The Warburg Effect in Diabetic Kidney Disease.

Authors:  Guanshi Zhang; Manjula Darshi; Kumar Sharma
Journal:  Semin Nephrol       Date:  2018-03       Impact factor: 5.299

8.  The urine microRNA profile may help monitor post-transplant renal graft function.

Authors:  Daniel G Maluf; Catherine I Dumur; Jihee L Suh; Mariano J Scian; Anne L King; Helen Cathro; Jae K Lee; Ricardo C Gehrau; Kenneth L Brayman; Lorenzo Gallon; Valeria R Mas
Journal:  Kidney Int       Date:  2013-09-11       Impact factor: 10.612

9.  A systematic review and participant-level meta-analysis found little association of retinal microvascular caliber with reduced kidney function.

Authors:  Weng Kit Lye; Euan Paterson; Christopher C Patterson; Alexander P Maxwell; Riswana Banu Binte Mohammed Abdul; E Shyong Tai; Ching Yu Cheng; Takamasa Kayama; Hidetoshi Yamashita; Mark Sarnak; Michael Shlipak; Kunihiro Matsushita; Unal Mutlu; Mohammad A Ikram; Caroline Klaver; Annette Kifley; Paul Mitchell; Chelsea Myers; Barbara E Klein; Ronald Klein; Tien Y Wong; Charumathi Sabanayagam; Gareth J McKay
Journal:  Kidney Int       Date:  2020-08-15       Impact factor: 10.612

Review 10.  Recent advances in renal interstitial fibrosis and tubular atrophy after kidney transplantation.

Authors:  Xiaojun Li; Shougang Zhuang
Journal:  Fibrogenesis Tissue Repair       Date:  2014-10-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.