Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, CA, USA.
Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Campus Box 3270, Chapel Hill, NC, USA.
Brain Behav Immun. 2024 Oct;121:331-339. doi: 10.1016/j.bbi.2024.08.004. Epub 2024 Aug 2.
To address the challenge of predicting psychological response to a psychosocial intervention we tested the possibility that baseline gene expression profiles might provide information above and beyond baseline psychometric measures. The genomics strategy utilized individual level inferences of transcription factor activity to predict changes in loneliness and affect in response to two well-established meditation interventions. Initial algorithm development analyses focused on three a-priori defined stress-related gene regulation pathways (CREB, GR, and NF-ĸB) as inferred from TELiS promoter-based bioinformatic analysis of basal (pre-intervention) blood samples from a randomized-controlled trial comparing a compassion-based meditation (CM, n = 45) with mindfulness meditation (MM, n = 44). Greater baseline CREB activity (but not GR or NF-ĸB) predicted greater reductions from pre- to post-intervention in loneliness (b = -0.24, p = 0.016) and negative emotions (b = -0.23, p = 0.017) for CM, but not for MM. A second algorithm validation analysis applied the same approach to another randomized controlled trial comparing CM (n = 42) with MM (n = 38) and a health education control condition (n = 41). Similarly, greater baseline CREB activity predicted greater pre- to post-intervention decreases in loneliness (b = -0.24, p = 0.029) and greater increases in satisfaction with life (b = 0.21, p = 0.046) for the CM condition only. Baseline CREB activity was not associated with baseline psychometric measures in either study. Results raise the possibility that pre-intervention gene expression profiles may reflect non-conscious psychobiological states that affect psychological responses to distinct psychosocial interventions, and thereby help personalize intervention selection.
为了解决预测心理社会干预后心理反应的挑战，我们测试了基线基因表达谱是否可能提供超越基线心理测量指标的信息。基因组学策略利用转录因子活性的个体水平推断来预测两种经过充分验证的冥想干预后孤独感和情绪的变化。初始算法开发分析主要集中在三个预先定义的与应激相关的基因调控途径（CREB、GR 和 NF-ĸB），这些途径是通过对一项比较基于同情心的冥想（CM，n=45）与正念冥想（MM，n=44）的随机对照试验的基线（干预前）血液样本进行基于 TELiS 启动子的生物信息学分析推断出来的。更大的基线 CREB 活性（而不是 GR 或 NF-ĸB）预测 CM 组从干预前到干预后的孤独感（b=-0.24，p=0.016）和负性情绪（b=-0.23，p=0.017）的降幅更大，但对于 MM 则不然。第二个算法验证分析将相同的方法应用于另一项比较 CM（n=42）、MM（n=38）和健康教育对照组（n=41）的随机对照试验。同样，更大的基线 CREB 活性预测 CM 组从干预前到干预后的孤独感（b=-0.24，p=0.029）和生活满意度（b=0.21，p=0.046）的降幅更大，而对于 MM 则不然。在这两项研究中，基线 CREB 活性都与基线心理测量指标无关。这些结果提出了一种可能性，即干预前的基因表达谱可能反映了影响对不同心理社会干预反应的非意识心理生物学状态，从而有助于个性化干预选择。
