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Obesity

Obesity

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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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

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Published on: May 6, 2022

Machine learning model to predict obesity using gut metabolite and brain microstructure data.

Vadim Osadchiy^1,2,3,4, Roshan Bal¹, Emeran A Mayer^1,2,3

¹Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.

Scientific Reports

|April 4, 2023

Summary

This summary is machine-generated.

Brain-gut-microbiota interactions influence obesity. This study found brain changes, not just gut factors, differentiate obese from overweight individuals, highlighting novel neural pathways in obesity pathogenesis.

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A Gut-on-a-Chip Model to Study the Gut Microbiome-Nervous System Axis

A Gut-on-a-Chip Model to Study the Gut Microbiome-Nervous System Axis

Published on: July 28, 2023

Area of Science:

Neuroscience
Metabolomics
Microbiome Research

Background:

Growing evidence links brain-gut-microbiota interactions to obesity.
Understanding the specific drivers differentiating obese from overweight phenotypes is crucial.

Purpose of the Study:

To investigate the roles of microstructural neuroimaging and fecal metabolomic data in obesity.
To identify key biological drivers distinguishing obese from overweight individuals using machine learning.

Main Methods:

Employed a machine learning approach.
Analyzed microstructural neuroimaging and fecal metabolomic data.
Investigated brain-gut-microbiota interactions.

Main Results:

Machine learning identified brain-directed changes as primary differentiators between obese and overweight individuals.
Gut-derived metabolites, influenced by the gut microbiota, also played a role.
Key brain regions outside the central nervous system reward network were identified as significant differentiators.

Conclusions:

Brain-directed alterations are more critical than gut factors in distinguishing obese from overweight individuals.
Gut microbiota-influenced metabolites contribute to obesity pathogenesis.
Novel neural pathways, extending beyond the central reward network, are implicated in obesity, suggesting new avenues for research and intervention.