Kim Byung Kil, Fonda Jennifer R, Hauger Richard L, Pinna Graziano, Anderson George M, Valovski Ivan T, Rasmusson Ann M
VA Boston Healthcare System, 150 South Huntington Ave., Boston, MA, 02130, USA.
Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), 150 South Huntington Ave., Boston, MA, 02130, USA.
Neurobiol Stress. 2020 Apr 18;12:100220. doi: 10.1016/j.ynstr.2020.100220. eCollection 2020 May.
Given that multiple neurobiological systems, as well as components within these systems are impacted by stress, and may interact in additive, compensatory and synergistic ways to promote or mitigate PTSD risk, severity, and recovery, we thought that it would be important to consider the , as well as separate effects of these neurobiological systems on PTSD risk. With this goal in mind, we conducted a proof-of-concept study utilizing cerebrospinal fluid (CSF) collected from unmedicated, tobacco- and illicit substance-free men with PTSD (n = 13) and trauma-exposed healthy controls (TC) (n = 17). Thirteen neurobiological factors thought to contribute to PTSD risk or severity based on previous studies were assayed. As the small but typical sample size of this lumbar puncture study limited the number of factors that could be considered in a hierarchical regression model, we included only those five factors with at least a moderate correlation (Spearman rho > 0.30) with total Clinician-Administered PTSD Scale (CAPS-IV) scores, and that did not violate multicollinearity criteria. Three of the five factors meeting these criteria-CSF allopregnanolone and pregnanolone (Allo + PA: equipotent GABAergic metabolites of progesterone), neuropeptide Y (NPY), and interleukin-6 (IL-6)-were found to account for over 75% of the variance in the CAPS-IV scores (R = 0.766, F = 8.75, p = 0.007). CSF Allo + PA levels were negatively associated with PTSD severity (β = -0.523, p = 0.02) and accounted for 47% of the variance in CAPS-IV scores. CSF NPY was positively associated with PTSD severity (β = 0.410, p = 0.04) and accounted for 14.7% of the CAPS-IV variance. There was a trend for a positive association between PTSD severity and CSF IL-6 levels, which accounted for 15.3% of the variance in PTSD severity (β = 0.423, p = 0.05). Z-scores were then computed for each of the three predictive factors and used to depict the varying relative degrees to which each contributed to PTSD severity at the individual PTSD patient level. This first of its kind, proof-of-concept study bears replication in larger samples. However, it highlights the collective effects of dysregulated neurobiological systems on PTSD symptom severity and the heterogeneity of potential biological treatment targets across individual PTSD patients-thus supporting the need for precision medicine approaches to treatment development and prescribing in PTSD.
鉴于多个神经生物学系统以及这些系统中的组成部分都会受到压力的影响,并且可能以相加、代偿和协同的方式相互作用,从而促进或减轻创伤后应激障碍(PTSD)的风险、严重程度及恢复情况,我们认为考虑这些神经生物学系统的综合作用以及它们对PTSD风险的单独影响非常重要。出于这一目的,我们开展了一项概念验证研究,利用从未用药、无烟草和非法药物使用的PTSD男性患者(n = 13)和经历过创伤的健康对照者(TC)(n = 17)中收集的脑脊液(CSF)进行研究。基于先前的研究,对13种被认为与PTSD风险或严重程度相关的神经生物学因素进行了检测。由于这项腰椎穿刺研究的样本量小但具有代表性,限制了分层回归模型中可考虑的因素数量,我们仅纳入了与临床医生管理的PTSD量表(CAPS-IV)总分至少具有中度相关性(Spearman等级相关系数> 0.30)且未违反多重共线性标准的五个因素。符合这些标准的五个因素中的三个——脑脊液中的别孕烷醇酮和孕烷醇酮(Allo + PA:孕酮的等效GABA能代谢产物)、神经肽Y(NPY)和白细胞介素-6(IL-6)——被发现可解释CAPS-IV分数中超过75%的方差(R = 0.766,F = 8.75,p = 0.007)。脑脊液中Allo + PA水平与PTSD严重程度呈负相关(β = -0.523,p = 0.02),并解释了CAPS-IV分数中方差的47%。脑脊液中NPY与PTSD严重程度呈正相关(β = 0.410,p = 0.04),并解释了CAPS-IV方差的14.7%。PTSD严重程度与脑脊液中IL-6水平之间存在正相关趋势,其解释了PTSD严重程度中方差的15.3%(β = 0.423,p = 0.05)。然后为这三个预测因素分别计算Z分数,并用于描述每个因素在个体PTSD患者水平上对PTSD严重程度的不同相对贡献程度。这项同类研究中的首个概念验证研究需要在更大样本中进行重复验证。然而,它突出了失调的神经生物学系统对PTSD症状严重程度的综合影响以及个体PTSD患者潜在生物治疗靶点的异质性——从而支持了在PTSD治疗开发和处方中采用精准医学方法的必要性。