Novel therapy development in psychiatry is at an impasse, with a significant lull since the 1980s and 1990s when most of the monoamine-targeted therapies that form the foundation of modern practice were first launched. The monoaminergic targets of such therapies have failed to deliver novel treatments. Instead, some of the most promising novel therapies have arisen from the twin biomarker findings of increased inflammation and oxidative stress across the major psychiatric disorders, including depression, schizophrenia, and bipolar disorder. Research on inflammation and oxidative stress has led to the identification of promising repurposed therapeutic options, which include celecoxib, minocycline, N-acetylcysteine, statins, aspirin, and infliximab. 1 The logical next step, and a long-term goal of precision psychiatry, is to use hypothesized biomarkers to guide treatment choices and enhance therapy responses. Theoretically, people stratified to have higher or lower levels of the biomarker of interest should be more likely to respond to therapy with an agent that engages that target, which is a premise of the Research Domain Criteria philosophy. 2 However, substantial complexities hamper the attainment of this goal. Foremost among these is the poor sensitivity and specificity of inflammatory and oxidative biomarkers. Elevated levels of these markers not only occur across the panoply of neuropsychiatric disorders but are also evident in many commonly comorbid noncommunicable medical disorders. It is equally true that many of the known risk factors for common psychiatric disorders, such as depression, as well as many noncommunicable medical disorders, such as childhood trauma, smoking, poor diet, low levels of physical activity, obesity, and sleep disturbance, share a common propensity to raise inflammatory and oxidative stress biomarkers. 3 Conversely, many individuals manifesting the disorders of interest do not manifest alterations in these biomarkers. It is also unclear which of the myriad markers of systemic inflammation is the optimal one to predict responses to antiinflammatory treatment or whether combinations or networks of inflammatory markers (eg, the inflammasome), or if multiple markers from diverse pathways such as redox, apoptotic, neurogenesis and mitochondrial, are required. 4 The initial studies exploring the use of anti-inflammatory strategies did not stratify for baseline levels of inflammation. The logical next step to optimize the capacity for biomarkers to guide therapy was to stratify participants contingent on baseline levels of such biomarkers. The study by Raison and colleagues 5 that explored infliximab for treating