Comparing in vivo bioluminescence imaging and the Multi-Cruzi immunoassay platform to develop improved Chagas disease diagnostic procedures and biomarkers for monitoring parasitological cure
Table 1
Summary of the linear mixed model (LMM) regression output for each biomarker and in each subgroup.
Both the intercept and slope of the linear regression of each antigen corresponds to an average over the 15 mice in each group. Intercept > 10. Blue: significant p-values (< 0.05); Red: high intensity. We have data on several mice where we have treatment group and biomarker reactivity measured at different time points. Where all mice have the same slope and intercept relating reactivity to time and treatment group, a regular multiple linear regression model can be fitted with time and treatment group as the predictor, and reactivity as the response. Biomarker reactivities < 10 were considered below the positive reactivity threshold and were regarded as non-reactive. Slopes compared between treatment groups were assigned as different based on a 5% significance level.