Life on earth approximately existed 3.6 billion years up to the present. It’s biological processes continually evolve to sustain its habitat on earth. From plants, animals, bacteria, fungi, viruses, anything from which they have undergone homeostasis, even for a moment, is considered by scientists as life. Life strived, evolved, lived, rose and fell? But how and why?
The Genesis Moment Where Life Sprung Out On Earth
The 19th-century biologist did conduct experiments and solely believed that all form of life came from cells. But how did they find out about cells? Of course, they did with the use of the 1st modern microscope invented way back the 17th century.
The 17th century breeds a lot of biological scientists and philosophers. They studied that life, itself, comes from inert matter and its possession of life force that pushed them through evolution and adaption to its environment.
Today, the knowledge of where life comes from and its components to sustain living is being used as a way to prolong life in different aspects. In this article, we will see how modern medicine finds treatment for diseases of mankind, especially diabetes.
HOMA(Homeostasis Model Assessment)
HOMA was primarily created through the study of homeostasis. It is an indicator and diagnosis of insulin resistance and metabolic syndrome.
Our pancreas produces a hormone called insulin. It is responsible for the tackling of glucose in the body. Its job is to keep the appropriate balance in the blood sugar levels to avoid diseases such as hyperglycemia or hypoglycemia.
In the recent study of the University of Oxford in HOMA, their objectives are to utilize more of this model assessment and create a version 2. It is to examine more about B-Cell function and insulin resistance. This will enable future doctors to ascertain the modeling of physiological and treatment effects. Now, HOMA2 has the tendency to change insulin sensitivity with thiazolidinediones and adjustments of renal threshold with sodium glucose transporter 2 (SGLT2) inhibitions.
This expansion also made HOMA2 available to users. It is to modify the mathematical functions of organs and tissues that are involved in the glucose and hormonal components. The University of Colorado’s main objective in studying HOMA2 is to treat a type of diabetes caused by progressive B-cell dysfunction, relative insulin deficiencies, and the progressive nature of the disease.
The insulin resistance is the condition of the body to deflect effects of insulin. Therefore, a higher amount of insulin is needed to appreciate its beneficial impact on the body. The pancreas then repays by producing more insulin for the body. And when the pancreas can no longer produce insulin to the body’s demand, diabetes and heart disease develop.
HOMA makes all the statistics and data inquiry into the analysis of the survey conducted in different geographical zones. The subjects underwent a detailed clinical, biochemical, and hormonal evaluation. They were found to be free of any systemic illness.
In this study, HOMA-IR showed significant correlation with BMI, WC, WHtR. In India, it is known that the most active association of HOMA-IR is WC. In all of these studies, an adolescent with components of MS has the highest risk of developing IR. This study has also shown that HOMA is a valuable tool in identifying adolescents with MS.
Now, iHOMA2 offers mathematical techniques that vary from physiological assumptions. It is more comprehensible in computer-based solutions. It is now used in a simpler modeling method. The iHOMA2 yielded one readout of cells and insulin resistance for each subject. It can now be used in large epidemiologist and pharmaceutical studies.
The computer-based mathematical model of the homeostatic condition is now widely used. It is available online at http://www.ihoma.co.uk. The study is based in a 24 operated controlled data and graphical presentations.
IHOMA2 can now be less complicated to use since it represents cartoony-like graphs and visualization of mathematical and hormonal components. It is efficiently utilized especially at changing and clearly adjusting doses of patients being treated with insulin resistance. This allows ways to navigate questions such as what-ifs or “What would be the effect on glucose if V max of β-cell function were 50%?”
The creation of IHOM2 model is to address some of the limitations of HOMA2 and predict the effects of glucose, insulin on β-cell function, and insulin sensitivity.