Literature DB >> 34616096

Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease.

Judy Baek1, Chenchen He2, Farsad Afshinnia2, George Michailidis3, Subramaniam Pennathur4,5.   

Abstract

Dyslipidaemia is a hallmark of chronic kidney disease (CKD). The severity of dyslipidaemia not only correlates with CKD stage but is also associated with CKD-associated cardiovascular disease and mortality. Understanding how lipids are dysregulated in CKD is, however, challenging owing to the incredible diversity of lipid structures. CKD-associated dyslipidaemia occurs as a consequence of complex interactions between genetic, environmental and kidney-specific factors, which to understand, requires an appreciation of perturbations in the underlying network of genes, proteins and lipids. Modern lipidomic technologies attempt to systematically identify and quantify lipid species from biological systems. The rapid development of a variety of analytical platforms based on mass spectrometry has enabled the identification of complex lipids at great precision and depth. Insights from lipidomics studies to date suggest that the overall architecture of free fatty acid partitioning between fatty acid oxidation and complex lipid fatty acid composition is an important driver of CKD progression. Available evidence suggests that CKD progression is associated with metabolic inflexibility, reflecting a diminished capacity to utilize free fatty acids through β-oxidation, and resulting in the diversion of accumulating fatty acids to complex lipids such as triglycerides. This effect is reversed with interventions that improve kidney health, suggesting that targeting of lipid abnormalities could be beneficial in preventing CKD progression.
© 2021. Springer Nature Limited.

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Year:  2021        PMID: 34616096      PMCID: PMC9146017          DOI: 10.1038/s41581-021-00488-2

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   42.439


  210 in total

1.  Kidney triglyceride accumulation in the fasted mouse is dependent upon serum free fatty acids.

Authors:  Diego Scerbo; Ni-Huiping Son; Alaa Sirwi; Lixia Zeng; Kelli M Sas; Vincenza Cifarelli; Gabriele Schoiswohl; Lesley-Ann Huggins; Namrata Gumaste; Yunying Hu; Subramaniam Pennathur; Nada A Abumrad; Erin E Kershaw; M Mahmood Hussain; Katalin Susztak; Ira J Goldberg
Journal:  J Lipid Res       Date:  2017-04-12       Impact factor: 5.922

Review 2.  Lipidomics: new insight into kidney disease.

Authors:  Ying-Yong Zhao; Nosratola D Vaziri; Rui-Chao Lin
Journal:  Adv Clin Chem       Date:  2015-01-07       Impact factor: 5.394

3.  Sphingomyelinase-like phosphodiesterase 3b expression levels determine podocyte injury phenotypes in glomerular disease.

Authors:  Tae-Hyun Yoo; Christopher E Pedigo; Johanna Guzman; Mayrin Correa-Medina; Changli Wei; Rodrigo Villarreal; Alla Mitrofanova; Farah Leclercq; Christian Faul; Jing Li; Matthias Kretzler; Robert G Nelson; Markku Lehto; Carol Forsblom; Per-Henrik Groop; Jochen Reiser; George William Burke; Alessia Fornoni; Sandra Merscher
Journal:  J Am Soc Nephrol       Date:  2014-06-12       Impact factor: 10.121

Review 4.  Lipidomics: Novel insight into the biochemical mechanism of lipid metabolism and dysregulation-associated disease.

Authors:  Ying-Yong Zhao; Hua Miao; Xian-Long Cheng; Feng Wei
Journal:  Chem Biol Interact       Date:  2015-09-08       Impact factor: 5.192

5.  METLIN: A Technology Platform for Identifying Knowns and Unknowns.

Authors:  Carlos Guijas; J Rafael Montenegro-Burke; Xavier Domingo-Almenara; Amelia Palermo; Benedikt Warth; Gerrit Hermann; Gunda Koellensperger; Tao Huan; Winnie Uritboonthai; Aries E Aisporna; Dennis W Wolan; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2018-02-09       Impact factor: 6.986

6.  Traceless synthesis of ceramides in living cells reveals saturation-dependent apoptotic effects.

Authors:  Andrew K Rudd; Neal K Devaraj
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-02       Impact factor: 11.205

7.  Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.

Authors:  Sumanta Basu; William Duren; Charles R Evans; Charles F Burant; George Michailidis; Alla Karnovsky
Journal:  Bioinformatics       Date:  2017-05-15       Impact factor: 6.937

8.  Improved mitochondrial function with diet-induced increase in either docosahexaenoic acid or arachidonic acid in membrane phospholipids.

Authors:  Ramzi J Khairallah; Junhwan Kim; Karen M O'Shea; Kelly A O'Connell; Bethany H Brown; Tatiana Galvao; Caroline Daneault; Christine Des Rosiers; Brian M Polster; Charles L Hoppel; William C Stanley
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

9.  Alterations of Fatty Acid Profile May Contribute to Dyslipidemia in Chronic Kidney Disease by Influencing Hepatocyte Metabolism.

Authors:  Aleksandra Czumaj; Tomasz Śledziński; Juan-Jesus Carrero; Piotr Stepnowski; Malgorzata Sikorska-Wisniewska; Michal Chmielewski; Adriana Mika
Journal:  Int J Mol Sci       Date:  2019-05-18       Impact factor: 5.923

10.  The C18:3n6/C22:4n6 ratio is a good lipid marker of chronic kidney disease (CKD) progression.

Authors:  Małgorzata Szczuko; Małgorzata Kaczkan; Sylwia Małgorzewicz; Przemysław Rutkowski; Alicja Dębska-Ślizień; Ewa Stachowska
Journal:  Lipids Health Dis       Date:  2020-04-17       Impact factor: 3.876

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  6 in total

1.  Cholesterol Metabolism in Chronic Kidney Disease: Physiology, Pathologic Mechanisms, and Treatment.

Authors:  Xiaoyue Pan
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

2.  Integrative phosphatidylcholine metabolism through phospholipase A2 in rats with chronic kidney disease.

Authors:  Yan-Ni Wang; Zhi-Hao Zhang; Hong-Jiao Liu; Zhi-Yuan Guo; Liang Zou; Ya-Mei Zhang; Ying-Yong Zhao
Journal:  Acta Pharmacol Sin       Date:  2022-08-03       Impact factor: 7.169

Review 3.  The Roles of Fatty Acids and Apolipoproteins in the Kidneys.

Authors:  Xiaoyue Pan
Journal:  Metabolites       Date:  2022-05-20

4.  Evaluation of Untargeted Metabolomic Strategy for the Discovery of Biomarker of Breast Cancer.

Authors:  Xujun Ruan; Yan Wang; Lirong Zhou; Qiuling Zheng; Haiping Hao; Dandan He
Journal:  Front Pharmacol       Date:  2022-05-30       Impact factor: 5.988

5.  Oxidative Stress and Lipid Dysregulation in Lipid Droplets: A Connection to Chronic Kidney Disease Revealed in Human Kidney Cells.

Authors:  Zhen Chen; Rojeet Shrestha; Xiaoyue Yang; Xunzhi Wu; Jiaping Jia; Hitoshi Chiba; Shu-Ping Hui
Journal:  Antioxidants (Basel)       Date:  2022-07-18

6.  Genetic Architecture of Untargeted Lipidomics in Cardiometabolic-Disease Patients Combines Strong Polygenic Control and Pleiotropy.

Authors:  Francois Brial; Lyamine Hedjazi; Kazuhiro Sonomura; Cynthia Al Hageh; Pierre Zalloua; Fumihiko Matsuda; Dominique Gauguier
Journal:  Metabolites       Date:  2022-06-27
  6 in total

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