Application of Machine Learning techniques and optical biosensors for the quantitative determination of IL-6 in a murine rat model induced to an acute ischemic event
Resumen
Cardiovascular diseases (CVD) have a significant impact on public health in Mexico, ranking as the seventh leading cause of death in 2021, with over 37,000 fatalities. Risk factors such as hypertension, diabetes, smoking, and high cholesterol are prevalent in the Mexican population. Additionally, the lack of timely access to medical care and delays in diagnosis and treatment contribute to high mortality and disability rates. Ischemic cerebrovascular disease, which occurs when a clot blocks blood flow to the brain, can result in brain damage, disability, or death.
Interleukin 6 (IL-6) is a key pro-inflammatory cytokine responsible for the proliferation and differentiation of immune and hematopoietic cells. IL-6 production following traumatic injury has been associated with neuronal inflammation and brain damage. Plasma IL-6 levels within the first 12 hours after an ischemic cerebrovascular disease (CVD) event are considered a strong independent predictor of early mortality.
The objective of this study is to determine the expression of interleukin 6 using optical biosensors based on crystalline silicon and machine learning analysis after an episode of acute global cerebral ischemia in rats. The project aims to develop an innovative method for detecting interleukin 6 (IL-6) using optical biosensors based on crystalline silicon in rats after an episode of cerebral ischemia. The proposal integrates biotechnology, optics, and data analysis to create a fast, accurate, and cost-effective tool for monitoring IL-6 levels, facilitating the diagnosis and follow-up of brain damage. Biosensors with specific antibodies for IL-6 will be designed, structural changes will be studied using FTIR microspectroscopy, and machine learning techniques will be applied to enhance system accuracy. This approach seeks to optimize time and costs in diagnosing brain damage caused by ischemic events.