Literature DB >> 26961492

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

Mina H Hanna1, Alessandra Dalla Gassa2, Gert Mayer3, Gianluigi Zaza2, Patrick D Brophy4, Loreto Gesualdo5, Francesco Pesce6,7.   

Abstract

Omics refers to the collective technologies used to explore the roles and relationships of the various types of molecules that make up the phenotype of an organism. Systems biology is a scientific discipline that endeavours to quantify all of the molecular elements of a biological system. Therefore, it reflects the knowledge acquired by omics in a meaningful manner by providing insights into functional pathways and regulatory networks underlying different diseases. The recent advances in biotechnological platforms and statistical tools to analyse such complex data have enabled scientists to connect the experimentally observed correlations to the underlying biochemical and pathological processes. We discuss in this review the current knowledge of different omics technologies in kidney diseases, specifically in the field of pediatric nephrology, including biomarker discovery, defining as yet unrecognized biologic therapeutic targets and linking omics to relevant standard indices and clinical outcomes. We also provide here a unique perspective on the field, taking advantage of the experience gained by the large-scale European research initiative called "Systems Biology towards Novel Chronic Kidney Disease Diagnosis and Treatment" (SysKid). Based on the integrative framework of Systems biology, SysKid demonstrated how omics are powerful yet complex tools to unravel the consequences of diabetes and hypertension on kidney function.

Entities:  

Keywords:  Biomarkers; Omics; Pediatric nephrology; SysKid; Systems biology

Mesh:

Year:  2016        PMID: 26961492     DOI: 10.1007/s00467-016-3357-x

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  90 in total

Review 1.  Genetic testing in renal disease.

Authors:  Detlef Bockenhauer; Alan J Medlar; Emma Ashton; Robert Kleta; Nick Lench
Journal:  Pediatr Nephrol       Date:  2011-05-27       Impact factor: 3.714

Review 2.  Epigenetics: a new way to look at kidney diseases.

Authors:  Pazit Beckerman; Yi-An Ko; Katalin Susztak
Journal:  Nephrol Dial Transplant       Date:  2014-03-27       Impact factor: 5.992

Review 3.  Systems biology: building a useful model from multiple markers and profiles.

Authors:  Paul Mayer; Bernd Mayer; Gert Mayer
Journal:  Nephrol Dial Transplant       Date:  2012-11       Impact factor: 5.992

4.  Genetic loci associated with renal function measures and chronic kidney disease in children: the Pediatric Investigation for Genetic Factors Linked with Renal Progression Consortium.

Authors:  Matthias Wuttke; Craig S Wong; Elke Wühl; Daniel Epting; Li Luo; Anselm Hoppmann; Anke Doyon; Yong Li; Betül Sözeri; Daniela Thurn; Martin Helmstädter; Tobias B Huber; Tom D Blydt-Hansen; Albrecht Kramer-Zucker; Otto Mehls; Anette Melk; Uwe Querfeld; Susan L Furth; Bradley A Warady; Franz Schaefer; Anna Köttgen
Journal:  Nephrol Dial Transplant       Date:  2015-09-28       Impact factor: 5.992

5.  Exome sequencing reveals cubilin mutation as a single-gene cause of proteinuria.

Authors:  Bugsu Ovunc; Edgar A Otto; Virginia Vega-Warner; Pawaree Saisawat; Shazia Ashraf; Gokul Ramaswami; Hanan M Fathy; Dominik Schoeb; Gil Chernin; Robert H Lyons; Engin Yilmaz; Friedhelm Hildebrandt
Journal:  J Am Soc Nephrol       Date:  2011-09-08       Impact factor: 10.121

Review 6.  Genome-wide studies to identify risk factors for kidney disease with a focus on patients with diabetes.

Authors:  Florina Regele; Kira Jelencsics; Dov Shiffman; Guillaume Paré; Matthew J McQueen; Johannes F E Mann; Rainer Oberbauer
Journal:  Nephrol Dial Transplant       Date:  2015-08       Impact factor: 5.992

7.  Urine proteomics to detect biomarkers for chronic allograft dysfunction.

Authors:  Luís F Quintana; Amanda Solé-Gonzalez; Susana G Kalko; Elisenda Bañon-Maneus; Manel Solé; Fritz Diekmann; Alex Gutierrez-Dalmau; Joaquin Abian; Josep M Campistol
Journal:  J Am Soc Nephrol       Date:  2008-12-03       Impact factor: 10.121

Review 8.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

Review 9.  The renal biopsy in the genomic era.

Authors:  Helen Liapis; Joseph P Gaut
Journal:  Pediatr Nephrol       Date:  2012-11-21       Impact factor: 3.714

10.  Fetal urinary peptides to predict postnatal outcome of renal disease in fetuses with posterior urethral valves (PUV).

Authors:  Julie Klein; Chrystelle Lacroix; Cécile Caubet; Justyna Siwy; Petra Zürbig; Mohammed Dakna; Françoise Muller; Benjamin Breuil; Angelique Stalmach; William Mullen; Harald Mischak; Flavio Bandin; Bernard Monsarrat; Jean-Loup Bascands; Stéphane Decramer; Joost P Schanstra
Journal:  Sci Transl Med       Date:  2013-08-14       Impact factor: 17.956

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  7 in total

Review 1.  Renal injury in neonates: use of "omics" for developing precision medicine in neonatology.

Authors:  Mandar S Joshi; Kelsey A Montgomery; Peter J Giannone; John A Bauer; Mina H Hanna
Journal:  Pediatr Res       Date:  2016-10-10       Impact factor: 3.756

Review 2.  How Omics Data Can Be Used in Nephrology.

Authors:  Eugene P Rhee
Journal:  Am J Kidney Dis       Date:  2018-02-23       Impact factor: 8.860

3.  PeptiCKDdb-peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease.

Authors:  Magdalena Krochmal; Marco Fernandes; Szymon Filip; Claudia Pontillo; Holger Husi; Jerome Zoidakis; Harald Mischak; Antonia Vlahou; Joachim Jankowski
Journal:  Database (Oxford)       Date:  2016-09-01       Impact factor: 3.451

Review 4.  Inflammation-Related Mechanisms in Chronic Kidney Disease Prediction, Progression, and Outcome.

Authors:  Simona Mihai; Elena Codrici; Ionela Daniela Popescu; Ana-Maria Enciu; Lucian Albulescu; Laura Georgiana Necula; Cristina Mambet; Gabriela Anton; Cristiana Tanase
Journal:  J Immunol Res       Date:  2018-09-06       Impact factor: 4.818

5.  Inflammation-Related Patterns in the Clinical Staging and Severity Assessment of Chronic Kidney Disease.

Authors:  Simona Mihai; Elena Codrici; Ionela D Popescu; Ana-Maria Enciu; Elena Rusu; Diana Zilisteanu; Laura G Necula; Gabriela Anton; Cristiana Tanase
Journal:  Dis Markers       Date:  2019-10-07       Impact factor: 3.434

6.  Predicting and Defining Steroid Resistance in Pediatric Nephrotic Syndrome Using Plasma Metabolomics.

Authors:  Jessica R Gooding; Shipra Agrawal; Susan McRitchie; Zach Acuff; Michael L Merchant; Jon B Klein; William E Smoyer; Susan J Sumner
Journal:  Kidney Int Rep       Date:  2019-09-19

Review 7.  New Insights from Metabolomics in Pediatric Renal Diseases.

Authors:  Simona Riccio; Maria Sole Valentino; Antonio Paride Passaro; Marica Izzo; Stefano Guarino; Emanuele Miraglia Del Giudice; Pierluigi Marzuillo; Anna Di Sessa
Journal:  Children (Basel)       Date:  2022-01-17
  7 in total

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