Work

Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease

Year: 2021

Type: review

Source: Nature Reviews Nephrology

DOI: 10.1038/s41581-021-00488-2

Authors: Judy Baek, Chenchen He, Farsad Afshinnia, George Michailidis, Subramaniam Pennathur

Institutions: University of Michigan, Michigan Medicine, University of Florida

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: Integrated Systems Biology Approach to Diabetic Microvascular Complications, Machine Learning Tools for Discovery and Analysis of Active Metabolic Pathways, Michigan Medical Scientist Training Program, University of Michigan O'Brien Kidney Translational Core Center, G4060450896, Regulation of kidney nutrient metabolism by SIRT5, Lipidomic Predictors of Diabetic Kidney Disease Progression in Patients with Type-1 Diabetes, Systems and Integrative Biology Training Program, Developing and validating prognostic metabolomic signatures of diabetic kidney disease, Prognostic Biomarkers in Chronic Kidney Disease, Methods and Tools for Integrative Functional Enrichment Analysis of Metabolomics Data, Michigan Diabetes Research Center (MDRC), Michigan Nutrition Obesity Research Center, Multidisciplinary Training Program in Basic Diabetes Research, Role of Acetyl CoA carboxylase in type 2 diabetic kidney disease

OpenAlex ID: W3203319955

FWCI: 2.361

Cites: 228

Cited by: 165

Related to: 10