| • Identification of factors which are simple predictors of treatment outcome would allow for the stratification of potlonrs according to risk for treatment-resistance, which, in turn, could lead to the development of tailored aprroaches that would improve overall treatment outcome (ie, choosing a more “aggressive” treatment a priori. |
| • Identification of moderators (ie, differential predictors) of treatment outcome may load to the development of tailored treatment approaches (algorithms) for a given subgroup of MDD patients that would improve treatment outcome (ie, matching treatment with MDD subtype).
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| • Prédictive or nonpredictive mediators (correlates) of treatment outcome may provide mechanistic insights into the underlying pathophysiology of MDD, thereby helping identify new molecular targets for drug development or for defining clinically relevant subgroups. |
| • Prédictive or nonpredictive mediators (correlates) of treatment outcome may be used in screening for potential new antidepressants (for example, selecting pharmacologic agents that also result in similar changes in clinical or preclinical models). |
