AI Article Synopsis

  • This study explores the biological and clinical factors influencing treatment response in individuals at ultra-high risk (UHR) for psychosis, focusing on functional improvement after a 12-week intervention using omega-3 fatty acids or a placebo.
  • Findings indicate that higher levels of α-linolenic acid (ALA) and more severe negative symptoms at baseline are linked to better outcomes with omega-3 treatment, while less severe positive symptoms and lower functioning predict improvements in the placebo group.
  • Through advanced machine learning analyses, the study suggests that baseline fatty acid levels can inform treatment decisions and prognostic evaluations for UHR patients, though the small sample size limits the strength of the conclusions drawn.

Article Abstract

Previous efforts in the prospective evaluation of individuals who experience attenuated psychotic symptoms have attempted to isolate mechanisms underlying the onset of full-threshold psychotic illness. In contrast, there has been little research investigating specific predictors of positive outcomes. In this study, we sought to determine biological and clinical factors associated with treatment response, here indexed by functional improvement in a pre-post examination of a 12-week randomized controlled intervention in individuals at ultra-high risk (UHR) for psychosis. Participants received either long-chain omega-3 (ω-3) polyunsaturated fatty acids (PUFAs) or placebo. To allow the determination of factors specifically relevant to each intervention, and to be able to contrast them, both treatment groups were investigated in parallel. Univariate linear regression analysis indicated that higher levels of erythrocyte membrane α-linolenic acid (ALA; the parent fatty acid of the ω-3 family) and more severe negative symptoms at baseline predicted subsequent functional improvement in the treatment group, whereas less severe positive symptoms and lower functioning at baseline were predictive in the placebo group. A multivariate machine learning analysis, known as Gaussian Process Classification (GPC), confirmed that baseline fatty acids predicted response to treatment in the ω-3 PUFA group with high levels of sensitivity, specificity and accuracy. In addition, GPC revealed that baseline fatty acids were predictive in the placebo group. In conclusion, our investigation indicates that UHR patients with higher levels of ALA may specifically benefit from ω-3 PUFA supplementation. In addition, multivariate machine learning analysis suggests that fatty acids could potentially be used to inform prognostic evaluations and treatment decisions at the level of the individual. Notably, multiple statistical analyses were conducted in a relatively small sample, limiting the conclusions that can be drawn from what we believe to be a first-of-its-kind study. Additional studies with larger samples are therefore needed to evaluate the generalizability of these findings.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312828PMC
http://dx.doi.org/10.1038/tp.2014.134DOI Listing

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