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多发性硬化症的年龄发病率:一种决策理论模型。

The age incidence of multiple sclerosis: a decision theory model.

作者信息

Morris J A

机构信息

Department of Pathology, Lancaster Moor Hospital, UK.

出版信息

Med Hypotheses. 1990 Jun;32(2):129-35. doi: 10.1016/0306-9877(90)90036-e.

DOI:10.1016/0306-9877(90)90036-e
PMID:2198441
Abstract

It is proposed that multiple sclerosis (MS) arises as an auto-immune response to antigens shared by common commensal bacteria and brain tissues. In particular it is suggested that the causative bacteria are normally spread by the faecal-oral route but first exposure can occur in the nasopharynx, particularly following a viral respiratory infection, and this increases the risk of MS. The interaction between bacterial colonisation and the immune response is analysed in terms of an information model derived from statistical decision theory. The model predicts a finite chance of autoimmune disease on first exposure which rises with age at exposure. The predicted age incidence of MS, which is the resultant of the rising error function and the age incidence of first exposure to common bacteria, rises to a peak in the third decade and matches published age incidence data. Furthermore the model predicts that subsets of the population, such as women, in whom the risk of MS is increased will have an earlier mean age of onset. This accords with observation which is hitherto unexplained. The model also explains the decreased incidence of MS in equatorial regions, data on migration studies, and is consistent with the observation that the mean age of onset is not consistently lower in low incidence regions. It also offers an explanation for conflicting data on the effect of social class, economic conditions and birth order. The hypothesis is amenable to laboratory investigation and should be pursued.

摘要

有人提出,多发性硬化症(MS)是作为对常见共生细菌和脑组织共有的抗原的自身免疫反应而出现的。特别指出的是,致病细菌通常通过粪-口途径传播,但首次接触可能发生在鼻咽部,尤其是在病毒性呼吸道感染之后,这会增加患MS的风险。根据源自统计决策理论的信息模型分析细菌定植与免疫反应之间的相互作用。该模型预测首次接触时自身免疫性疾病有一定的发生几率,且此几率会随着接触时的年龄增长而上升。预测的MS年龄发病率是误差函数上升与首次接触常见细菌的年龄发病率共同作用的结果,在第三个十年达到峰值,与已发表的年龄发病率数据相符。此外,该模型预测,患MS风险增加的人群子集,如女性,其平均发病年龄会更早。这与迄今无法解释的观察结果相符。该模型还解释了赤道地区MS发病率降低的现象、移民研究的数据,并且与低发病率地区平均发病年龄并非始终较低的观察结果一致。它还为关于社会阶层、经济状况和出生顺序影响的相互矛盾的数据提供了解释。该假说适合进行实验室研究,应该加以探究。

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The age incidence of multiple sclerosis: a decision theory model.多发性硬化症的年龄发病率:一种决策理论模型。
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Information theory: a guide in the investigation of disease.信息论:疾病调查指南
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