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. 2024 Nov 8;9(21):e182589. doi: 10.1172/jci.insight.182589

Figure 2. Machine learning identifies CD63 EVs as a major contributor to exercise-induced changes in adipose miR-1.

Figure 2

(A) Schematic diagram outlining the workflow of CLASSify. (B) Nonlinear predictors of the exercise-induced changes in miR-1 levels in adipose tissue identified by 1 or more of the 3 nonparametric models: K-Nearest Neighbors, Neural Network, and Logistic Regression. Participants were divided into low (< 0.5-fold change; n = 7), medium (0.5–2.0-fold change; n = 15), and high (> 2.0-fold change; n = 10) miR-1 based on changes in adipose miR-1 in response to acute exercise. The relationship among exercise-induced changes in adipose miR-1 and (C) muscle miR-1 primary transcript 1b (pri-miR-1b), (D) BMI, (E) CD63 count, and (F) age. Data are expressed with min-to-max box plots. BMI, body mass index; BL, baseline; T-0, 0-minute time point; T-30, 30-minute time point; T-90, 90-minute time point.