Wecker L, Miller S B, Cochran S R, Dugger D L, Johnson W D
J Ment Defic Res. 1985 Mar;29 ( Pt 1):15-22. doi: 10.1111/j.1365-2788.1985.tb00303.x.
The concentrations of 14 elements were determined in scalp hair samples from control, autistic and autistic-like children. Significant differences were noted between normal males and females for calcium, magnesium and mercury. The autistic population had significantly lower levels of calcium, magnesium, copper, manganese and chromium and higher levels of lithium as compared to sex- and age-matched controls. Children with autistic features (autistic-like), classified as having childhood-onset pervasive disorder, had lower levels of magnesium, cadmium, cobalt and manganese as compared to controls. Discriminant function analysis using the 14 trace elements correctly classified 90.5% of the normal and 100% of the autistic population. Using a stepwise procedure, the five elements with the greatest discriminatory power were calcium, copper, zinc, chromium and lithium. Analysis based on these five trace elements led to the correct classification of 85.7% of the normal and 91.7% of the autistic group. Results indicate that the concentrations of trace elements in hair from normal children differ from patterns observed in both autistic and autistic-like children. Furthermore, evidence suggests that hair analysis may have potential use as a diagnostic tool for autism.
测定了对照组、自闭症儿童和自闭症谱系障碍儿童头发样本中14种元素的浓度。正常男性和女性在钙、镁和汞的含量上存在显著差异。与性别和年龄匹配的对照组相比,自闭症患者的钙、镁、铜、锰和铬水平显著降低,锂水平升高。被归类为儿童期起病的广泛性发育障碍的自闭症谱系障碍儿童,其镁、镉、钴和锰的水平低于对照组。使用这14种微量元素进行判别函数分析,正确分类了90.5%的正常人群和100%的自闭症患者。采用逐步法,具有最大判别力的五种元素是钙、铜、锌、铬和锂。基于这五种微量元素的分析正确分类了85.7%的正常人群和91.7%的自闭症组。结果表明,正常儿童头发中微量元素的浓度与自闭症儿童和自闭症谱系障碍儿童的模式不同。此外,有证据表明头发分析可能有作为自闭症诊断工具的潜在用途。