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Insights into the Effects of Crack Abuse on the Human Metabolome Using a NMR Approach
Journal of Proteome Research ( IF 3.8 ) Pub Date : 2018-11-12 , DOI: 10.1021/acs.jproteome.8b00646
Tássia B. B. C. Costa 1 , Acioly L. T. Lacerda 2, 3 , Caroline Dal Mas 3 , Elisa Brietzke 3 , João G. M. Pontes 1 , Lucas A. N. Marins 3 , Lucas G. Martins 1 , Marcel V. Nunes 2 , Mariana Pedrini 3 , Michelle S. C. Carvalho 3 , Milan P. Mitrovitch 2 , Mirian A. F. Hayashi 3 , Natália L. Saldanha 2 , Ronei J. Poppi 1 , Ljubica Tasic 1
Affiliation  

Approximately 255 million people consume illicit drugs every year, among which 18 million use cocaine. A portion of this drug is represented by crack, but it is difficult to estimate the number of users since most are marginalized. However, there are no recognized efficacious pharmacotherapies for crack-cocaine dependence. Inflammation and infection in cocaine users may be due to behavior adopted in conjunction with drug-related changes in the brain. To understand the metabolic changes associated with the drug abuse disorder and identify biomarkers, we performed a 1H NMR-based metabonomic analysis of 44 crack users’ and 44 healthy volunteers’ blood serum. The LDA model achieved 98% of accuracy. From the water suppressed 1H NMR spectra analyses, it was observed that the relative concentration of lactate was higher in the crack group, while long chain fatty acid acylated carnitines were decreased, which was associated with their nutritional behavior. Analyses of the aromatic region of CPMG 1H NMR spectra demonstrated histidine and tyrosine levels increased in the blood serum of crack users. The reduction of carnitine and acylcarnitines and the accumulation of histidine in the serum of the crack users suggest that histamine biosynthesis is compromised. The tyrosine level points to altered dopamine concentration.

中文翻译:

使用NMR方法洞察裂纹滥用对人体代谢组的影响

每年大约有2.55亿人使用非法毒品,其中1800万人使用可卡因。这种药物的一部分以裂纹表示,但是由于大多数被边缘化,因此难以估计使用者的数量。但是,目前尚无公认的有效药物治疗可卡因的依赖性。可卡因使用者的炎症和感染可能是由于与大脑中与药物相关的变化相结合而采取的行为。为了了解与药物滥用疾病相关的代谢变化并鉴定生物标志物,我们对44位破解用户和44位健康志愿者的血清进行了基于1 H NMR的代谢组学分析。LDA模型达到了98%的准确度。从水压制11 H NMR光谱分析发现,裂纹组中乳酸的相对浓度较高,而长链脂肪酸酰化肉碱减少,这与其营养行为有关。CPMG 1 H NMR光谱芳香区域的分析表明,破解用户的血清中组氨酸和酪氨酸水平增加。肉毒碱和酰基肉碱的减少以及组蛋白在裂纹使用者血清中的积累表明组胺的生物合成受到损害。酪氨酸水平指向改变的多巴胺浓度。
更新日期:2018-11-12
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