Using principle component as explanatory variable in multiple regression


I used PCA to reduce the dimensions of a data set of 10 variables into 2 principal components (describing 82% of variance in data set of 10 variables) and calculated the scores for both PCs for all the samples (n=85).

Can I use these PCs (Scores) (separately or together) as explanatory variables along with a few other explanatory variables (X1, X2, X3, X4) in a multiple linear regression with a response variable 'Y'?

My goal is mainly to know which explanatory variables are more influential rather than deriving an accurate formula.

Thank you,
Warm regards,