Program in Neuroscience, UTHealth Graduate School of Biomedical Sciences, Houston, Texas, United States of America.
Department of Psychiatry & Behavioral Sciences, UTHealth McGovern Medical School, Houston, Texas, United States of America.
PLoS One. 2019 Jan 9;14(1):e0199729. doi: 10.1371/journal.pone.0199729. eCollection 2019.
Chronic cocaine and alcohol use impart significant stress on biological and cognitive systems, resulting in changes consistent with an allostatic load model of neurocognitive impairment. The present study measured potential markers of allostatic load in individuals with comorbid cocaine/alcohol use disorders (CUD/AUD) and control subjects. Measures of brain white matter (WM), telomere length, and impulsivity/attentional bias were obtained. WM (CUD/AUD only) was indexed by diffusion tensor imaging metrics, including radial diffusivity (RD) and fractional anisotropy (FA). Telomere length was indexed by the telomere to single copy gene (T/S) ratio. Impulsivity and attentional bias to drug cues were measured via eye-tracking, and were also modeled using the Hierarchical Diffusion Drift Model (HDDM). Average whole-brain RD and FA were associated with years of cocaine use (R2 = 0.56 and 0.51, both p < .005) but not years of alcohol use. CUD/AUD subjects showed more anti-saccade errors (p < .01), greater attentional bias scores (p < .001), and higher HDDM drift rates on cocaine-cue trials (Bayesian probability CUD/AUD > control = p > 0.99). Telomere length was shorter in CUD/AUD, but the difference was not statistically significant. Within the CUD/AUD group, exploratory regression using an elastic-net model determined that more years of cocaine use, older age, larger HDDM drift rate differences and shorter telomere length were all predictive of WM as measured by RD (model R2 = 0.79). Collectively, the results provide modest support linking CUD/AUD to putative markers of allostatic load.
慢性可卡因和酒精使用会给生物和认知系统带来巨大压力,导致与神经认知障碍的适应负荷模型一致的变化。本研究测量了共患可卡因/酒精使用障碍(CUD/AUD)和对照受试者的潜在适应负荷标志物。测量了大脑白质(WM)、端粒长度和冲动/注意力偏差。WM(仅 CUD/AUD)通过扩散张量成像指标进行评估,包括径向扩散系数(RD)和各向异性分数(FA)。端粒长度通过端粒与单拷贝基因(T/S)比值进行评估。通过眼动追踪测量药物线索的冲动性和注意力偏差,并使用分层扩散漂移模型(HDDM)进行建模。全脑平均 RD 和 FA 与可卡因使用年限相关(R2=0.56 和 0.51,均 p<0.005),但与酒精使用年限无关。CUD/AUD 受试者表现出更多的反扫视错误(p<0.01)、更大的注意力偏差得分(p<0.001),以及可卡因线索试验中更高的 HDDM 漂移率(贝叶斯概率 CUD/AUD>对照组>0.99)。CUD/AUD 组的端粒长度较短,但差异无统计学意义。在 CUD/AUD 组中,使用弹性网模型的探索性回归确定,可卡因使用年限更长、年龄更大、HDDM 漂移率差异更大以及端粒长度更短,均与 RD 测量的 WM 相关(模型 R2=0.79)。总的来说,这些结果为 CUD/AUD 与适应负荷的潜在标志物之间的联系提供了适度的支持。