Monday, March 4, 2024
Monday, March 4, 2024
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The molecular signature could be key to predicting and early detecting chronic diseases


The technology allows health professionals to understand the pathogenic processes involved in the onset and progression of a variety of chronic diseases.

When it comes to chronic illnesses, we live in dark times. In the 13th century, a third of the world’s population died from the plague. People didn’t know what caused this epidemic and blamed it on bad luck and some kind of mystery.

Today Chronic Diseases suffer the same fate. 41 million people lose their lives to chronic diseases each year, which is just the tip of the iceberg. What happens before death is years and decades of suffering not only for the patient but also for his or her family.

Chronic diseases are still considered a mystery or the result of bad luck or bad genes. Well, it’s not bad luck or genes, there are some changes in biology and chemistry within the human body that are not yet understood.

Over the last few decades, crores of rupees have been spent creating point-of-care diagnostics (and pharmaceuticals) that generate millions of bytes of healthcare delivery data.

Current gaps in data on healthcare delivery

Most health decisions made by healthcare professionals are driven by insights derived from healthcare delivery data and data points collected from these point-of-care diagnostic investigations to monitor existing health conditions. , such as type 2 diabetes, chronic kidney disease, obesity, cardiovascular diseases, polycystic ovary syndrome and cancer. and make them more bearable

But unfortunately, this data from standard blood test/plasma level investigations lacks precision on multiple fronts.

-It does not speak well of the pathogenic process/molecules that trigger the appearance and progression of chronic diseases.

-These data sets, commonly referred to as healthcare delivery data, lack the ability to drill down to the molecular level to understand the root cause of existing health conditions.

-These data sets never give insight into the functions of the microbiome, so they do not decode 99% of our biology.

-Healthcare delivery or point-of-care diagnostic data cannot identify asymptomatic/difficult-to-detect signs underlying chronic diseases and we wait for these signs to become symptoms. In turn, these symptoms show up in your blood tests and our healthcare professionals simply end up monitoring them.

Unaddressed data points, including 99% of microbial genes, as well as longitudinal and phenotype data, are part of a huge data warehouse with petabytes of molecular data. It is impossible for any human being, including healthcare professionals, nutritionists and doctors, to decode these huge gigantic data sets.

Until now, healthcare professionals have never had access to molecular and cellular data or the exponential technologies at their disposal to decipher it.

Discovering exponential technologies to collect and extract petabytes of molecular data sets

Time is on our side now. We have all the technology to collect these vital molecular data sets, process and analyze them to make sense of them and discover what specific molecules are producing/will cause you to develop a disease that was never identified by conventional diagnosis. evidence.

At Genefitletics, a consumer biotechnology company, building on its consumer systems biology platform, PROTEBA, we have created the industry’s first translational science platform for healthcare professionals.

The platform encompasses next-generation sequencing that collects and isolates 100 million bytes of molecular data from sequencing saliva (oral microbiome) and feces (gut microbiome); Cloud computing that processes these molecular data sets and compares them with gene functions using its proprietary bioinformatics algorithm, thereby translating it into gene expression data sets; and Machine Learning that uses its proprietary machine learning models to measure, analyze and combine multiple gene expression data sets. These gene expression combinations are graded and transformed into various biochemical pathways, reflecting the functions of the microbiome at the molecular level. Since each score is associated with a specific biological function, it correlates with specific areas of health, such as oral health, heart health, metabolic health, digestive health, and more.

Sushant Kumar, Founder, Genefitletics





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