Literature DB >> 26050125

Metabolomics and renal disease.

Eugene P Rhee1.   

Abstract

PURPOSE OF REVIEW: This review summarizes recent metabolomics studies of renal disease, outlining some of the limitations of the literature to date. RECENT
FINDINGS: The application of metabolomics in nephrology research has expanded from the initial analyses of uremia to include both cross-sectional and longitudinal studies of earlier stages of kidney disease. Although these studies have nominated several potential markers of incident chronic kidney disease (CKD) and CKD progression, a lack of overlap in metabolite coverage has limited the ability to synthesize results across groups. Furthermore, direct examination of renal metabolite handling has underscored the substantial impact kidney function has on these potential markers (and many other circulating metabolites). In experimental studies, metabolomics has been used to identify a signature of decreased mitochondrial function in diabetic nephropathy and a preference for aerobic glucose metabolism in polycystic kidney disease. In each case, these studies have outlined novel therapeutic opportunities. Finally, as a complement to the longstanding interest in renal metabolite clearance, the microbiome has been increasingly recognized as the source of many plasma metabolites, including some with potential functional relevance to CKD and its complications.
SUMMARY: The high-throughput, high-resolution phenotyping enabled by metabolomics technologies has begun to provide insight on renal disease in clinical, physiologic, and experimental contexts.

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Year:  2015        PMID: 26050125      PMCID: PMC4479960          DOI: 10.1097/MNH.0000000000000136

Source DB:  PubMed          Journal:  Curr Opin Nephrol Hypertens        ISSN: 1062-4821            Impact factor:   2.894


  60 in total

Review 1.  Review on uremic toxins: classification, concentration, and interindividual variability.

Authors:  Raymond Vanholder; Rita De Smet; Griet Glorieux; Angel Argilés; Ulrich Baurmeister; Philippe Brunet; William Clark; Gerald Cohen; Peter Paul De Deyn; Reinhold Deppisch; Beatrice Descamps-Latscha; Thomas Henle; Achim Jörres; Horst Dieter Lemke; Ziad A Massy; Jutta Passlick-Deetjen; Mariano Rodriguez; Bernd Stegmayr; Peter Stenvinkel; Ciro Tetta; Christoph Wanner; Walter Zidek
Journal:  Kidney Int       Date:  2003-05       Impact factor: 10.612

Review 2.  Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis.

Authors:  John C Lindon; Elaine Holmes; Mary E Bollard; Elizabeth G Stanley; Jeremy K Nicholson
Journal:  Biomarkers       Date:  2004 Jan-Feb       Impact factor: 2.658

3.  Identification of metabolomic biomarkers for drug-induced acute kidney injury in rats.

Authors:  Takeki Uehara; Akira Horinouchi; Yuji Morikawa; Yutaka Tonomura; Keiichi Minami; Atsushi Ono; Jyoji Yamate; Hiroshi Yamada; Yasuo Ohno; Tetsuro Urushidani
Journal:  J Appl Toxicol       Date:  2013-09-30       Impact factor: 3.446

Review 4.  The uremic toxicity of indoxyl sulfate and p-cresyl sulfate: a systematic review.

Authors:  Raymond Vanholder; Eva Schepers; Anneleen Pletinck; Evi V Nagler; Griet Glorieux
Journal:  J Am Soc Nephrol       Date:  2014-05-08       Impact factor: 10.121

5.  Plasma metabolomic profiles in different stages of CKD.

Authors:  Vallabh O Shah; Raymond R Townsend; Harold I Feldman; Kirk L Pappan; Elizabeth Kensicki; David L Vander Jagt
Journal:  Clin J Am Soc Nephrol       Date:  2012-12-06       Impact factor: 8.237

6.  Metabolomics reveals signature of mitochondrial dysfunction in diabetic kidney disease.

Authors:  Kumar Sharma; Bethany Karl; Anna V Mathew; Jon A Gangoiti; Christina L Wassel; Rintaro Saito; Minya Pu; Shoba Sharma; Young-Hyun You; Lin Wang; Maggie Diamond-Stanic; Maja T Lindenmeyer; Carol Forsblom; Wei Wu; Joachim H Ix; Trey Ideker; Jeffrey B Kopp; Sanjay K Nigam; Clemens D Cohen; Per-Henrik Groop; Bruce A Barshop; Loki Natarajan; William L Nyhan; Robert K Naviaux
Journal:  J Am Soc Nephrol       Date:  2013-10-10       Impact factor: 10.121

7.  Urinary metabolomic markers of aminoglycoside nephrotoxicity in newborn rats.

Authors:  Mina H Hanna; Jeffrey L Segar; Lynn M Teesch; David C Kasper; Franz S Schaefer; Patrick D Brophy
Journal:  Pediatr Res       Date:  2013-02-14       Impact factor: 3.756

8.  Uremic solutes and risk of end-stage renal disease in type 2 diabetes: metabolomic study.

Authors:  Monika A Niewczas; Tammy L Sirich; Anna V Mathew; Jan Skupien; Robert P Mohney; James H Warram; Adam Smiles; Xiaoping Huang; Walker Walker; Jaeman Byun; Edward D Karoly; Elizabeth M Kensicki; Gerard T Berry; Joseph V Bonventre; Subramaniam Pennathur; Timothy W Meyer; Andrzej S Krolewski
Journal:  Kidney Int       Date:  2014-01-15       Impact factor: 10.612

9.  Changes in metabolic profiles during acute kidney injury and recovery following ischemia/reperfusion.

Authors:  Qingqing Wei; Xiao Xiao; Paul Fogle; Zheng Dong
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

10.  Defective glucose metabolism in polycystic kidney disease identifies a new therapeutic strategy.

Authors:  Isaline Rowe; Marco Chiaravalli; Valeria Mannella; Valeria Ulisse; Giacomo Quilici; Monika Pema; Xuewen W Song; Hangxue Xu; Silvia Mari; Feng Qian; York Pei; Giovanna Musco; Alessandra Boletta
Journal:  Nat Med       Date:  2013-03-24       Impact factor: 53.440

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  15 in total

Review 1.  Defining Glomerular Disease in Mechanistic Terms: Implementing an Integrative Biology Approach in Nephrology.

Authors:  Laura H Mariani; William F Pendergraft; Matthias Kretzler
Journal:  Clin J Am Soc Nephrol       Date:  2016-09-14       Impact factor: 8.237

2.  Metabolomics technology and bioinformatics for precision medicine.

Authors:  Rajeev K Azad; Vladimir Shulaev
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

3.  Influence of renal function on the association between homocysteine level and risk of ischemic stroke.

Authors:  Yao Cheng; Fan-Zhen Kong; Xiao-Feng Dong; Qin-Rong Xu; Qian Gui; Wei Wang; Hong-Xuan Feng; Wei-Feng Luo; Zong-En Gao; Guan-Hui Wu
Journal:  Am J Transl Res       Date:  2017-10-15       Impact factor: 4.060

4.  Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study.

Authors:  Eugene P Rhee; Clary B Clish; Julia Wenger; Jason Roy; Sammy Elmariah; Kerry A Pierce; Kevin Bullock; Amanda H Anderson; Robert E Gerszten; Harold I Feldman
Journal:  Am J Nephrol       Date:  2016-05-13       Impact factor: 3.754

5.  Clinical and metabolomic risk factors associated with rapid renal function decline in sickle cell disease.

Authors:  Julia Z Xu; Melanie E Garrett; Karen L Soldano; Sean T Chen; Clary B Clish; Allison E Ashley-Koch; Marilyn J Telen
Journal:  Am J Hematol       Date:  2018-09-27       Impact factor: 10.047

6.  Metabolic profiling of a chronic kidney disease cohort reveals metabolic phenotype more likely to benefit from a probiotic.

Authors:  Subodh J Saggi; Kelly Mercier; Jessica R Gooding; Eli Friedman; Usha Vyas; Natarajan Ranganathan; Pari Ranganathan; Susan McRitchie; Susan Sumner
Journal:  Int J Probiotics Prebiotics       Date:  2017-08-21

7.  Profiling of Plasma Metabolites Suggests Altered Mitochondrial Fuel Usage and Remodeling of Sphingolipid Metabolism in Individuals With Type 2 Diabetes and Kidney Disease.

Authors:  Jian-Jun Liu; Sujoy Ghosh; Jean-Paul Kovalik; Jianhong Ching; Hyung Won Choi; Subramaniam Tavintharan; Choon Nam Ong; Chee Fang Sum; Scott A Summers; E Shyong Tai; Su Chi Lim
Journal:  Kidney Int Rep       Date:  2016-12-16

8.  Untargeted plasma and tissue metabolomics in rats with chronic kidney disease given AST-120.

Authors:  Thomas J Velenosi; Anzel Hennop; David A Feere; Alvin Tieu; Andrew S Kucey; Polydoros Kyriacou; Laura E McCuaig; Stephanie E Nevison; Michael A Kerr; Bradley L Urquhart
Journal:  Sci Rep       Date:  2016-03-02       Impact factor: 4.379

9.  Identification of Potential Biomarkers of Chronic Kidney Disease in Individuals with Diabetes: Protocol for a Cross-sectional Observational Study.

Authors:  Ashani R Lecamwasam; Mohammadreza Mohebbi; Elif I Ekinci; Karen M Dwyer; Richard Saffery
Journal:  JMIR Res Protoc       Date:  2020-07-31

10.  NLRP3 inflammasome and lipid metabolism analysis based on UPLC-Q-TOF-MS in gouty nephropathy.

Authors:  Yan-Zi Zhang; Xiao-Lu Sui; Yun-Peng Xu; Feng-Juan Gu; Ai-Sha Zhang; Ji-Hong Chen
Journal:  Int J Mol Med       Date:  2019-04-30       Impact factor: 4.101

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