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Metabolic flux analysis in adipose tissue reprogramming.
Ashley Medina1,2, Joanne Bruno1,2, José O Alemán1,2
1Laboratory of Translational Obesity Research, New York University Grossman School of Medicine, New York, NY, USA.
Immunometabolism (Cobham, Surrey)
|March 8, 2024
Summary
Metabolic flux analysis precisely quantifies cellular metabolism. This technique, particularly mass spectrometry with isotope tracing in adipocytes, reveals how metabolic changes drive obesity-related diseases like insulin resistance and cardiovascular disease.
Area of Science:
- Biochemistry
- Metabolic Biology
- Physiology
Background:
- Obesity is a global epidemic linked to insulin resistance and cardiovascular disease.
- Adipose tissue's diverse cell types and dysregulated metabolism are key drivers of obesity-related diseases.
- Understanding the metabolic links between overnutrition and disease pathology is crucial.
Purpose of the Study:
- To review metabolic flux analysis (MFA) as a tool for understanding adipose tissue metabolism.
- To highlight mass spectrometry with isotope tracing as a primary MFA technique for adipocytes.
- To examine MFA's application in studying white adipose tissue inflammation and cardiometabolic disease.
Main Methods:
- Metabolic flux analysis (MFA) quantifies metabolic pathway fluxes.
- Mass spectrometry with isotope tracing is the focus technique for MFA in adipocytes.
- Literature review of existing studies utilizing MFA in adipose tissue biology.
Main Results:
- MFA precisely quantifies metabolic pathways, aiding in disease mechanism discovery.
- Studies using MFA in adipocytes reveal metabolic alterations linked to disease.
- White adipose tissue inflammation, studied via MFA, is linked to cardiometabolic disease progression.
Conclusions:
- MFA is a powerful experimental approach for dissecting metabolic dysregulation in adipose tissue.
- Understanding adipocyte metabolism via MFA is vital for combating obesity-related comorbidities.
- MFA applications extend to broader systemic homeostasis and various biological systems.
