The article uses the Quantitative Mass Spectrometry method to understand disease progression by integrating brain and Cerebrospinal Fluid proteome for early diagnostic development. There is a direct relationship between CSF to the brain, which helps develop better biomarkers to understand neuropathology.

AIM: To examine the relationships between variables (Age; Biomarkers: ABeta42,tTau, PTau; APOE gene; MoCA cognitive test) using correlation coefficients (Pearson correlation) to determine if there are any associations between age, biomarker levels, cognitive scores, and APOE gene in causing Alzheimer disease.

Figure 1: A matrix of scatterplots for pairwise variable comparisons. Figure 2: A color-coded correlation plot of the correlation matrix

Results: The variables pTau and tTau had the highest positive correlation with the Correlation Coefficient of 0.9844788 in relation to the progression of Alzheimer's disease.

Rstudio Link: Scientific data analysis