A novel method using steady glucose monitoring (CGM) detects early indicators of impaired glucose regulation in people and not using a prior diabetes prognosis. Credit score: Shinya Kuroda, The College of Tokyo
The highs and lows of blood glucose aren’t simply an power rollercoaster; they might be a key to detecting diabetes danger early and spare you a needle prick or two.
Researchers on the College of Tokyo have recognized a easy, noninvasive technique for assessing blood glucose regulation—an important consider diabetes danger. Their method, based mostly on steady glucose monitoring (CGM) knowledge, may enhance early detection and danger evaluation for diabetes with out counting on blood samples and costly or advanced procedures.
The examine is revealed in Communications Drugs.
Typically referred to as a “silent epidemic,” diabetes is an more and more prevalent world well being concern, with important well being and financial penalties. Early detection of impaired glucose regulation—an intermediate stage between regular blood glucose ranges and diabetes—is crucial for stopping or delaying the onset of sort 2 diabetes.
Standard diagnostic instruments, nonetheless, typically miss early indicators as a result of they depend on periodic blood samples reasonably than steady monitoring.
“Traditional diabetes tests, while useful, do not capture the dynamic nature of glucose regulation under physiological conditions,” mentioned Shinya Kuroda, a professor on the College of Tokyo’s Graduate College of Science and co-author of the present examine.
Simulations utilizing mathematical fashions additional supported why AC_Var—a CGM-derived index—may detect declines in glycemic management sooner than conventional indicators resembling fasting glucose. Credit score: Shinya Kuroda, The College of Tokyo
To discover a extra sensible various, the workforce turned to CGM, a wearable know-how that constantly tracks glucose ranges in actual time, offering a clearer image of blood glucose fluctuations in on a regular basis life. Their purpose was to determine a CGM-based technique for estimating glucose dealing with capability, which maintains steady ranges, with out invasive procedures.
The workforce analyzed 64 people and not using a prior diabetes prognosis, utilizing a CGM system, oral glucose tolerance exams (OGTT), and clamp exams which can be used to evaluate insulin sensitivity and glucose metabolism. They then validated their findings with an impartial dataset and mathematical simulations.
Their evaluation confirmed that AC_Var, a measure of glucose-level fluctuations, strongly correlates with the disposition index, a well-established predictor of future diabetes danger. Furthermore, the researchers’ mannequin, which mixes AC_Var with glucose customary deviation, outperformed conventional diabetes markers—resembling fasting blood glucose, HbA1c and OGTT outcomes—in predicting the disposition index.
“By analyzing CGM data with our new algorithm, we identified individuals with impaired glycemic control—even when standard diagnostic tests classified them as ‘normal,'” mentioned Kuroda. “This means we can potentially detect issues much earlier, creating an opportunity for preventive interventions before diabetes is diagnosed.”
The workforce additionally confirmed that the tactic was extra correct than typical diagnostic indicators in predicting diabetes problems resembling coronary artery illness. To facilitate broader entry to this method, the analysis workforce has developed an online software that enables people and well being care suppliers to simply calculate these CGM-based indices.
“Our ultimate goal is to provide a practical, accessible tool for widespread diabetes screening,” Kuroda mentioned. “By enabling early detection of glucose regulation abnormalities, we hope to prevent or delay disease onset and reduce long-term complications.”
Extra data:
Improved Detection of Decreased Glucose Dealing with Capacities through Steady Glucose Monitoring-Derived Indices, Communications Drugs (2025). DOI: 10.1038/s43856-025-00819-5
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No needles wanted: Wearable glucose screens may reveal early diabetes warning indicators missed by blood exams (2025, April 22)
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