Literature DB >> 28152529

Make Precision Medicine Work for Chronic Kidney Disease.

Ling Sun1, Lu-Xi Zou, Mao-Jie Chen.   

Abstract

Precision medicine is based on accurate diagnosis and tailored intervention through the use of omics and clinical data together with epidemiology and environmental exposures. Precision medicine should be achieved with minimum adverse events and maximum efficacy in patients with chronic kidney disease (CKD). In this review, the breakthroughs of omics in CKD and the application of systems biology are reviewed. The potential role of transforming growth factor-β1 in the targeted intervention of renal fibrosis is discussed as an example of how to make precision medicine work for CKD.
© 2016 S. Karger AG, Basel.

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Year:  2016        PMID： 28152529      PMCID： PMC5588375          DOI： 10.1159/000455101

Source DB:  PubMed          Journal:  Med Princ Pract        ISSN： 1011-7571            Impact factor:   1.927


  40 in total

Review 1.  Genome-wide association studies of chronic kidney disease: what have we learned?

Authors:  Conall M O'Seaghdha; Caroline S Fox
Journal:  Nat Rev Nephrol       Date:  2011-12-06       Impact factor: 28.314

2.  Pro: urine proteomics as a liquid kidney biopsy: no more kidney punctures!

Authors:  Harald Mischak
Journal:  Nephrol Dial Transplant       Date:  2015-04       Impact factor: 5.992

3.  Metabolic profiling reveals new serum biomarkers for differentiating diabetic nephropathy.

Authors:  Akiyoshi Hirayama; Eitaro Nakashima; Masahiro Sugimoto; Shin-ichi Akiyama; Waichi Sato; Shoichi Maruyama; Seiichi Matsuo; Masaru Tomita; Yukio Yuzawa; Tomoyoshi Soga
Journal:  Anal Bioanal Chem       Date:  2012-09-29       Impact factor: 4.142

Review 4.  Beyond genetics: epigenetic code in chronic kidney disease.

Authors:  Rama S Dwivedi; James G Herman; Timothy A McCaffrey; Dominic S C Raj
Journal:  Kidney Int       Date:  2010-09-29       Impact factor: 10.612

Review 5.  The role of EMT in renal fibrosis.

Authors:  Rosemarie M Carew; Bo Wang; Phillip Kantharidis
Journal:  Cell Tissue Res       Date:  2011-08-16       Impact factor: 5.249

6.  Gene networks implicated in diabetic kidney disease.

Authors:  W Tang; Y Gao; Y Li; G Shi
Journal:  Eur Rev Med Pharmacol Sci       Date:  2012-12       Impact factor: 3.507

7.  Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting.

Authors:  Karsten Suhre; Christa Meisinger; Angela Döring; Elisabeth Altmaier; Petra Belcredi; Christian Gieger; David Chang; Michael V Milburn; Walter E Gall; Klaus M Weinberger; Hans-Werner Mewes; Martin Hrabé de Angelis; H-Erich Wichmann; Florian Kronenberg; Jerzy Adamski; Thomas Illig
Journal:  PLoS One       Date:  2010-11-11       Impact factor: 3.240

8.  Myofibroblasts, regeneration or renal fibrosis--is there a decisive hint?

Authors:  Jonathan A Lindquist; Peter R Mertens
Journal:  Nephrol Dial Transplant       Date:  2013-08-23       Impact factor: 5.992

9.  DNA hypermethylation and DNA hypomethylation is present at different loci in chronic kidney disease.

Authors:  Laura J Smyth; Gareth J McKay; Alexander P Maxwell; Amy Jayne McKnight
Journal:  Epigenetics       Date:  2013-11-19       Impact factor: 4.528

10.  CKD273, a new proteomics classifier assessing CKD and its prognosis.

Authors:  Ángel Argilés; Justyna Siwy; Flore Duranton; Nathalie Gayrard; Mohammed Dakna; Ulrika Lundin; Lourdes Osaba; Christian Delles; Georges Mourad; Klaus M Weinberger; Harald Mischak
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240
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  6 in total

Review 1.  Metabolomics: The Stethoscope for the Twenty-First Century.

Authors:  Hutan Ashrafian; Viknesh Sounderajah; Robert Glen; Timothy Ebbels; Benjamin J Blaise; Dipak Kalra; Kim Kultima; Ola Spjuth; Leonardo Tenori; Reza M Salek; Namrata Kale; Kenneth Haug; Daniel Schober; Philippe Rocca-Serra; Claire O'Donovan; Christoph Steinbeck; Isaac Cano; Pedro de Atauri; Marta Cascante
Journal:  Med Princ Pract       Date:  2020-12-03       Impact factor: 2.132

2.  Global diabetic kidney disease research from 2000 to 2017: A bibliometric analysis.

Authors:  Lu-Xi Zou; Ling Sun
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

Review 3.  Contribution of Predictive and Prognostic Biomarkers to Clinical Research on Chronic Kidney Disease.

Authors:  Michele Provenzano; Salvatore Rotundo; Paolo Chiodini; Ida Gagliardi; Ashour Michael; Elvira Angotti; Silvio Borrelli; Raffaele Serra; Daniela Foti; Giovambattista De Sarro; Michele Andreucci
Journal:  Int J Mol Sci       Date:  2020-08-14       Impact factor: 5.923

4.  Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD).

Authors:  Francesco Bellocchio; Caterina Lonati; Jasmine Ion Titapiccolo; Jennifer Nadal; Heike Meiselbach; Matthias Schmid; Barbara Baerthlein; Ulrich Tschulena; Markus Schneider; Ulla T Schultheiss; Carlo Barbieri; Christoph Moore; Sonja Steppan; Kai-Uwe Eckardt; Stefano Stuard; Luca Neri
Journal:  Int J Environ Res Public Health       Date:  2021-11-30       Impact factor: 3.390

5.  BMP-7 Upregulates Id2 Through the MAPK Signaling Pathway to Improve Diabetic Tubulointerstitial Fibrosis and the Intervention of Oxymatrine.

Authors:  Yawen Xiao; Dan Liang; Zhiyang Li; Zhaowei Feng; Zhiping Yuan; Fan Zhang; Yuanyuan Wang; Yuxia Zhou; Mingjun Shi; Lingling Liu; Ying Xiao; Bing Guo
Journal:  Front Pharmacol       Date:  2022-06-02       Impact factor: 5.988

6.  The Role of Trio, a Rho Guanine Nucleotide Exchange Factor, in Glomerular Podocytes.

Authors:  Mirela Maier; Cindy Baldwin; Lamine Aoudjit; Tomoko Takano
Journal:  Int J Mol Sci       Date:  2018-02-06       Impact factor: 5.923
  6 in total

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