Bioinformatics Market to Develop as Researchers Use the Tools to Categorize Gene Sets, thus Finding a Link between Diabetes and Obesity
Posted On April 16, 2022
Obesity and sickness, particularly type 2 diabetes, have long been linked. Despite this, scientists are trying hard to determine what fat tissue causes the metabolic disorder.
Insulin resistance, a precursor to diabetes, is caused by an increase in immune cells called macrophages in adipose tissue, according to studies in mice. Macrophages devour foreign material, break it down, and pass it on to other immune cells to decide whether it is a hazard. The way bioinformatics was used in the study demonstrates a unique application for the device that may boost the Bioinformatics Market. Such devices can help check if a kind or set of genes makes a functional impact. This can be done by using these bioinformatics tools to categorize groups of genes.
The main question the team tried to answer is how immune cell types in fat are changing. Macrophages alter a lot within fat tissue, growing in quantity and skewing away from a typical distribution of different types, according to mice studies of obesity. Changes in macrophages are also evident in diabetes paired with obesity.
They sought to see a link between diabetes and macrophages seen in fat tissue. To investigate this, the researchers obtained adipose tissue from bariatric surgery patients and studied immune cells, specifically macrophages. They used flow sorting to separate the cells into three subpopulations: CD206+, generally anti-inflammatory. The second was CD11c+, which are usually pro-inflammatory, and a mix of the two.
They discovered that diabetic fat included more macrophages in general. There was a substantial connection with CD206+. Researchers explained that the revelation is contradictory to what was reported in mice.
CD11c+ appeared to promote diabetes in rats; however, the subtype was not linked to the disease in humans. However, there is a clue that there is something distinct within the macrophage population in persons with diabetes, she noted. There could be other subtypes or elements that we don't understand concerning macrophage subtype division.
They isolated each kind and used population RNA sequencing on three samples of each to see the similarities and differences. They discovered that CD206+ macrophages were not only associated with diabetes but also had a distinct gene expression profile compared to the other two categories of macrophages.
This could indicate that those cells have a distinct function that contributes to the development of diabetes or at least responds differently in diabetes than in non-diabetes.
These findings should ideally be supported by single-cell RNA sequencing. The idea will allow researchers to look at each cell in isolation to discover if there are more immune cell subtypes, how to classify them, and whether they respond differently in cell culture in the presence of obesity.