The Warburg Effect in Diabetic Kidney Disease

Guanshi Zhang, Manjula Darshi, Kumar Sharma

Research output: Contribution to journalReview article

4 Citations (Scopus)

Abstract

Summary: Diabetic kidney disease (DKD) is the leading cause of morbidity and mortality in diabetic patients. Defining risk factors for DKD using a reductionist approach has proven challenging. Integrative omics-based systems biology tools have shed new insights in our understanding of DKD and have provided several key breakthroughs for identifying novel predictive and diagnostic biomarkers. In this review, we highlight the role of the Warburg effect in DKD and potential regulating factors such as sphingomyelin, fumarate, and pyruvate kinase muscle isozyme M2 in shifting glucose flux from complete oxidation in mitochondria to the glycolytic pathway and its principal branches. With the development of highly sensitive instruments and more advanced automatic bioinformatics tools, we believe that omics analyses and imaging techniques will focus more on singular-cell-level studies, which will allow in-depth understanding of DKD and pave the path for personalized kidney precision medicine.

Original languageEnglish (US)
Pages (from-to)111-120
Number of pages10
JournalSeminars in Nephrology
Volume38
Issue number2
DOIs
StatePublished - Mar 1 2018

Fingerprint

Diabetic Nephropathies
Precision Medicine
Fumarates
Systems Biology
Sphingomyelins
Computational Biology
Mitochondria
Biomarkers
Morbidity
Kidney
Glucose
Mortality

Keywords

  • aerobic glycolysis
  • Diabetic kidney disease
  • metabolomics
  • mitochondrion
  • the Warburg effect

ASJC Scopus subject areas

  • Nephrology

Cite this

The Warburg Effect in Diabetic Kidney Disease. / Zhang, Guanshi; Darshi, Manjula; Sharma, Kumar.

In: Seminars in Nephrology, Vol. 38, No. 2, 01.03.2018, p. 111-120.

Research output: Contribution to journalReview article

Zhang, Guanshi ; Darshi, Manjula ; Sharma, Kumar. / The Warburg Effect in Diabetic Kidney Disease. In: Seminars in Nephrology. 2018 ; Vol. 38, No. 2. pp. 111-120.
@article{08186f0683fe467f8cefe48c89d368b1,
title = "The Warburg Effect in Diabetic Kidney Disease",
abstract = "Summary: Diabetic kidney disease (DKD) is the leading cause of morbidity and mortality in diabetic patients. Defining risk factors for DKD using a reductionist approach has proven challenging. Integrative omics-based systems biology tools have shed new insights in our understanding of DKD and have provided several key breakthroughs for identifying novel predictive and diagnostic biomarkers. In this review, we highlight the role of the Warburg effect in DKD and potential regulating factors such as sphingomyelin, fumarate, and pyruvate kinase muscle isozyme M2 in shifting glucose flux from complete oxidation in mitochondria to the glycolytic pathway and its principal branches. With the development of highly sensitive instruments and more advanced automatic bioinformatics tools, we believe that omics analyses and imaging techniques will focus more on singular-cell-level studies, which will allow in-depth understanding of DKD and pave the path for personalized kidney precision medicine.",
keywords = "aerobic glycolysis, Diabetic kidney disease, metabolomics, mitochondrion, the Warburg effect",
author = "Guanshi Zhang and Manjula Darshi and Kumar Sharma",
year = "2018",
month = "3",
day = "1",
doi = "10.1016/j.semnephrol.2018.01.002",
language = "English (US)",
volume = "38",
pages = "111--120",
journal = "Seminars in Nephrology",
issn = "0270-9295",
publisher = "W.B. Saunders Ltd",
number = "2",

}

TY - JOUR

T1 - The Warburg Effect in Diabetic Kidney Disease

AU - Zhang, Guanshi

AU - Darshi, Manjula

AU - Sharma, Kumar

PY - 2018/3/1

Y1 - 2018/3/1

N2 - Summary: Diabetic kidney disease (DKD) is the leading cause of morbidity and mortality in diabetic patients. Defining risk factors for DKD using a reductionist approach has proven challenging. Integrative omics-based systems biology tools have shed new insights in our understanding of DKD and have provided several key breakthroughs for identifying novel predictive and diagnostic biomarkers. In this review, we highlight the role of the Warburg effect in DKD and potential regulating factors such as sphingomyelin, fumarate, and pyruvate kinase muscle isozyme M2 in shifting glucose flux from complete oxidation in mitochondria to the glycolytic pathway and its principal branches. With the development of highly sensitive instruments and more advanced automatic bioinformatics tools, we believe that omics analyses and imaging techniques will focus more on singular-cell-level studies, which will allow in-depth understanding of DKD and pave the path for personalized kidney precision medicine.

AB - Summary: Diabetic kidney disease (DKD) is the leading cause of morbidity and mortality in diabetic patients. Defining risk factors for DKD using a reductionist approach has proven challenging. Integrative omics-based systems biology tools have shed new insights in our understanding of DKD and have provided several key breakthroughs for identifying novel predictive and diagnostic biomarkers. In this review, we highlight the role of the Warburg effect in DKD and potential regulating factors such as sphingomyelin, fumarate, and pyruvate kinase muscle isozyme M2 in shifting glucose flux from complete oxidation in mitochondria to the glycolytic pathway and its principal branches. With the development of highly sensitive instruments and more advanced automatic bioinformatics tools, we believe that omics analyses and imaging techniques will focus more on singular-cell-level studies, which will allow in-depth understanding of DKD and pave the path for personalized kidney precision medicine.

KW - aerobic glycolysis

KW - Diabetic kidney disease

KW - metabolomics

KW - mitochondrion

KW - the Warburg effect

UR - http://www.scopus.com/inward/record.url?scp=85042059768&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042059768&partnerID=8YFLogxK

U2 - 10.1016/j.semnephrol.2018.01.002

DO - 10.1016/j.semnephrol.2018.01.002

M3 - Review article

VL - 38

SP - 111

EP - 120

JO - Seminars in Nephrology

JF - Seminars in Nephrology

SN - 0270-9295

IS - 2

ER -