Literature DB >> 28664406

Renal biopsy-driven molecular target identification in glomerular disease.

Maja T Lindenmeyer1, Matthias Kretzler2,3.   

Abstract

Chronic kidney disease has severe impacts on the patient and represents a major burden to the health care systems worldwide. Despite an increased knowledge of pathophysiological processes involved in kidney diseases, the progress in defining novel treatment strategies has been limited. One reason is the descriptive disease categorization used in nephrology based on clinical findings or histopathological categories irrespective of potential different molecular disease mechanisms. To accelerate progress toward a targeted treatment, a definition of human disease extending from phenotypic disease classification to mechanism-based disease definitions is needed. In recent years, we have witnessed a major transition in biomedical research from a single gene research to an information rich and collaborative science. Tissue-based analysis in renal disease allows to link structure to molecular function. In our review, we introduce the concept of precision medicine in nephrology, describe several large cohort studies established for molecular analysis of kidney diseases, and highlight examples of renal biopsy-driven target identification by integrative systems biology approaches. Furthermore, we give an outlook on how the new disease definitions can be used for patient stratification in clinical trial design. Finally, we introduce the concept of an informational commons of renal precision medicine for joint analyses of large-scale data sets in renal failure.

Entities:  

Keywords:  Biomarkers; Omics data; Precision medicine; Renal biopsy; Systems biology approach

Mesh:

Year:  2017        PMID: 28664406     DOI: 10.1007/s00424-017-2006-y

Source DB:  PubMed          Journal:  Pflugers Arch        ISSN: 0031-6768            Impact factor:   3.657


  45 in total

1.  The KUPKB: a novel Web application to access multiomics data on kidney disease.

Authors:  Julie Klein; Simon Jupp; Panagiotis Moulos; Myriem Fernandez; Bénédicte Buffin-Meyer; Audrey Casemayou; Rana Chaaya; Aristidis Charonis; Jean-Loup Bascands; Robert Stevens; Joost P Schanstra
Journal:  FASEB J       Date:  2012-02-17       Impact factor: 5.191

2.  Circulating TNF receptors 1 and 2 predict ESRD in type 2 diabetes.

Authors:  Monika A Niewczas; Tomohito Gohda; Jan Skupien; Adam M Smiles; William H Walker; Florencia Rosetti; Xavier Cullere; John H Eckfeldt; Alessandro Doria; Tanya N Mayadas; James H Warram; Andrzej S Krolewski
Journal:  J Am Soc Nephrol       Date:  2012-01-19       Impact factor: 10.121

3.  Interstitial fibrosis scored on whole-slide digital imaging of kidney biopsies is a predictor of outcome in proteinuric glomerulopathies.

Authors:  Laura H Mariani; Sebastian Martini; Laura Barisoni; Pietro A Canetta; Jonathan P Troost; Jeffrey B Hodgin; Matthew Palmer; Avi Z Rosenberg; Kevin V Lemley; Hui-Ping Chien; Jarcy Zee; Abigail Smith; Gerald B Appel; Howard Trachtman; Stephen M Hewitt; Matthias Kretzler; Serena M Bagnasco
Journal:  Nephrol Dial Transplant       Date:  2018-02-01       Impact factor: 5.992

Review 4.  Spread of glomerular to tubulointerstitial disease with a focus on proteinuria.

Authors:  Franziska Theilig
Journal:  Ann Anat       Date:  2010-04-03       Impact factor: 2.698

Review 5.  Lessons learned from lung cancer genomics: the emerging concept of individualized diagnostics and treatment.

Authors:  Reinhard Buettner; Jürgen Wolf; Roman K Thomas
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

6.  Histopathologic features aid in predicting risk for progression of IgA nephropathy.

Authors:  Michael Walsh; Aylin Sar; Diane Lee; Serdar Yilmaz; Hallgrimur Benediktsson; Braden Manns; Brenda Hemmelgarn
Journal:  Clin J Am Soc Nephrol       Date:  2010-01-14       Impact factor: 8.237

7.  Comparison of Glomerular and Podocyte mRNA Profiles in Streptozotocin-Induced Diabetes.

Authors:  Jia Fu; Chengguo Wei; Kyung Lee; Weijia Zhang; Wu He; Peter Chuang; Zhihong Liu; John Cijiang He
Journal:  J Am Soc Nephrol       Date:  2015-08-11       Impact factor: 10.121

8.  Effect of losartan on prevention and progression of early diabetic nephropathy in American Indians with type 2 diabetes.

Authors:  E Jennifer Weil; Gudeta Fufaa; Lois I Jones; Tracy Lovato; Kevin V Lemley; Robert L Hanson; William C Knowler; Peter H Bennett; Berne Yee; Bryan D Myers; Robert G Nelson
Journal:  Diabetes       Date:  2013-04-01       Impact factor: 9.461

9.  Establishment of a integrative multi-omics expression database CKDdb in the context of chronic kidney disease (CKD).

Authors:  Marco Fernandes; Holger Husi
Journal:  Sci Rep       Date:  2017-01-12       Impact factor: 4.379

10.  C-C motif-ligand 2 inhibition with emapticap pegol (NOX-E36) in type 2 diabetic patients with albuminuria.

Authors:  Jan Menne; Dirk Eulberg; Diana Beyer; Matthias Baumann; Frantisek Saudek; Zsuzsanna Valkusz; Andrzej Więcek; Hermann Haller
Journal:  Nephrol Dial Transplant       Date:  2017-02-01       Impact factor: 5.992

View more
  5 in total

Review 1.  The tissue proteome in the multi-omic landscape of kidney disease.

Authors:  Markus M Rinschen; Julio Saez-Rodriguez
Journal:  Nat Rev Nephrol       Date:  2020-10-07       Impact factor: 28.314

Review 2.  Advances in Renal Cell Imaging.

Authors:  Georgina Gyarmati; Hiroyuki Kadoya; Ju-Young Moon; James L Burford; Nariman Ahmadi; Inderbir S Gill; Young-Kwon Hong; Bálint Dér; János Peti-Peterdi
Journal:  Semin Nephrol       Date:  2018-01       Impact factor: 5.299

3.  Co-immunostaining of ICAM-1, ICAM-2, and CD31 in Mouse Kidney Glomeruli.

Authors:  Sun-Sang J Sung
Journal:  Bio Protoc       Date:  2020-07-05

4.  Identification of Unique Genetic Biomarkers of Various Subtypes of Glomerulonephritis Using Machine Learning and Deep Learning.

Authors:  Jianbo Qing; Fang Zheng; Huiwen Zhi; Hasnaa Yaigoub; Hasna Tirichen; Yaheng Li; Juanjuan Zhao; Yan Qiang; Yafeng Li
Journal:  Biomolecules       Date:  2022-09-10

Review 5.  Scientific Advances in Diabetes: The Impact of the Innovative Medicines Initiative.

Authors:  Maria de Fátima Brito; Carla Torre; Beatriz Silva-Lima
Journal:  Front Med (Lausanne)       Date:  2021-07-06
  5 in total

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