{"id":55000,"date":"2023-03-20T17:06:07","date_gmt":"2023-03-20T16:06:07","guid":{"rendered":"https:\/\/pharma-trend.com\/en\/biological-bmi-isb-researchers-dig-deep-into-data-to-determine-better-measures-of-metabolic-health\/"},"modified":"2023-03-20T17:06:07","modified_gmt":"2023-03-20T16:06:07","slug":"biological-bmi-isb-researchers-dig-deep-into-data-to-determine-better-measures-of-metabolic-health","status":"publish","type":"post","link":"https:\/\/pharma-trend.com\/en\/biological-bmi-isb-researchers-dig-deep-into-data-to-determine-better-measures-of-metabolic-health\/","title":{"rendered":"Biological BMI: ISB Researchers Dig Deep into Data to Determine Better Measures of Metabolic Health"},"content":{"rendered":"
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\nAn Institute for Systems Biology team has constructed biological body mass index (BMI) measures that offer a more accurate representation of metabolic health and are more varied, informative and actionable than the traditional BMI equation.\n<\/p>\n

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SEATTLE–(BUSINESS WIRE)–ISB researchers have constructed biological body mass index (BMI) measures that offer a more accurate representation of metabolic health and are more varied, informative and actionable than the traditional, long-used BMI equation. The work was just published in the journal Nature Medicine<\/i><\/a>.\n<\/p>\n

\nFor decades, clinicians have relied on BMI as a crude tool to classify individuals as underweight, normal weight, overweight or obese. BMI scores are calculated by dividing a person\u2019s weight in kilograms by height in meters squared. About 30 percent of the population is misclassified by this approach. Despite its limitations, BMI continues to be insightful and widely accepted in the clinic, as it is a major risk factor for a number of chronic diseases, including diabetes, cardiovascular diseases and cancer.\n<\/p>\n

\n\u201cFor years, BMI has been the go-to measure for doctors to classify individuals based on their height and weight in comparison to an average person. However, this average person doesn’t truly exist. We now have the capability to use advanced molecular measurements as a more comprehensive representation of a person’s metabolic health, which can be used to make more accurate clinical recommendations for individuals,\u201d said Noa Rappaport, PhD, ISB senior research scientist and corresponding author of the paper.\n<\/p>\n

\nRappaport and colleagues studied 1,000 individuals who enrolled in a wellness program by performing multi-omic profiling, examining more than 1,100 blood analytes such as proteins and metabolites, as well as genetic risk scores and gut microbiome composition collected at various time points. The researchers then generated machine learning models that led to more accurate predictive variations of a biological BMI than traditional measures of BMI alone.\n<\/p>\n

\nThe team made several important findings, including:\n<\/p>\n