Statistical analysis
Outcomes were calculated on a strict intention-to-treat (ITT) basis. The raw data of Day 84 – the raw data of Day 0 represented the changes in all variables. The Kolmogorov-Smirnov Test was used to detect whether the continuous data conform to normal distribution. If normally distributed, paired T-test was used for intra-group comparison and independent T-test was used for inter-group comparison, and the data were expressed as mean and standard deviations. If not normally distributed, non-parametric two-tailed Wilcoxon matched-pairs signed-ranks was used for intra-group comparison and non-parametric K-independent Wilcoxon signed-ranks were used for inter-group comparison, and the data were expressed as the median and inter-quartile ranges. Fold changes of diabetes-induced markers after treatments of CP & G were calculated as (the raw data of day 84/the raw data of day 0). Statistical Package for Social Science (SPSS) 28.0 was used to analyze all data and we defined 