Key result
Label-free optical metabolic imaging of adipose tissue differentiates prediabetic mice from controls with 0.96 AUC.
Why the study?
Does label-free optical metabolic imaging of adipose tissues accurately detect prediabetes and insulin resistance in mouse models?
Does label-free optical metabolic imaging of adipose tissues accurately detect prediabetes and insulin resistance in mouse models?
Effect estimate: AUC 0.96
Label-free optical metabolic imaging of adipose tissue can accurately detect insulin resistance and differentiate prediabetes from healthy states in preclinical models.
Hypothesis-generating in mouse models; leaves open clinical translation for prediabetes detection.
Our study provides an innovative approach to diagnosing prediabetes, which sheds light on the strategy for diabetes prevention.
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Chen et al. (2023) studied Prediabetes and Type 2 Diabetes Mellitus (n=24). High-fat diet (HFD) or high-fat-high-sucrose diet (HFHSD) vs. Normal chow diet was evaluated on Accuracy (AUC) of integrated optical indices (redox ratio, a1, and t2) for distinguishing between healthy and prediabetic mice (HFD vs control) (AUC 0.96). Label-free optical metabolic imaging of adipose tissues using integrated indices of redox ratio, a1, and t2 differentiated prediabetic mice from healthy controls with an AUC of 0.96.
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