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Obesity01:24

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Related Experiment Video

Updated: May 22, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
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Metabolically Healthy Obesity Is Characterized by a Distinct Proteome Signature.

Fayaz Ahmad Mir1,2, Houari B Abdesselem3, Farhan Cyprian2

  • 1Qatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha P.O. Box 3010, Qatar.

International Journal of Molecular Sciences
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Individuals with obesity but without metabolic disease show distinct plasma protein profiles. This proteomic analysis reveals altered pathways, offering insights into subclinical metabolic derangements and potential therapeutic targets.

Keywords:
Olinkcomorbiditiesobesityproteomics

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Area of Science:

  • Proteomics
  • Metabolic Health
  • Cardiovascular Disease Research

Background:

  • Obesity is linked to metabolic diseases like type 2 diabetes and cardiovascular disease.
  • A subset of obese individuals lacks overt metabolic disorders, but may have subclinical issues.
  • Investigating proteomic signatures can reveal underlying metabolic derangements.

Purpose of the Study:

  • To analyze the plasma proteome in obese individuals without metabolic disorders.
  • To identify differences in protein expression compared to lean healthy controls.
  • To explore potential subclinical metabolic derangements in obesity.

Main Methods:

  • Plasma samples from 27 obese (obesity only - OBO) and 15 lean healthy control (LHC) subjects were analyzed.
  • Olink proteomics analysis targeted 184 proteins in cardiometabolic and inflammation pathways.
  • Differential protein expression and pathway analysis were performed.

Main Results:

  • Distinct plasma protein expression profiles were observed between OBO and LHC groups.
  • 24 proteins were differentially expressed: 11 upregulated and 13 downregulated in the OBO group.
  • Upregulated pathways involved chemoattractant and cytokine activity; downregulated pathways included T cell differentiation and inflammatory response.

Conclusions:

  • Obesity without overt metabolic disease is associated with altered plasma proteomic signatures.
  • These alterations suggest potential subclinical metabolic derangements.
  • Findings may guide the development of therapeutic targets for metabolic health in obesity.