Lubinsky Mark
XXX.
Am J Med Genet A. 2014 Apr;164A(4):915-7. doi: 10.1002/ajmg.a.36370. Epub 2014 Jan 23.
A binary vascular/thrombotic pathogenesis for gastroschisis, a form of congenital bowel herniation, is proposed, where normal right umbilical vein involution creates a possible site for thrombosis adjacent to the umbilical ring. If thrombosis occurs, it weakens the area, explaining overwhelmingly right-sided lesions. The model arises from the existence of two groups of risk factors with different maternal age associations. Older mothers show a greater association with vascular factors (although this may actually represent a lack of any significant maternal age effect), consistent with associations of gastroschisis with congenital heart lesions and with amyoplasia. Alternatively, other predispositions, and especially decreased maternal age, the greatest known risk factor, associate with factors raising maternal estrogen, with evidence that estrogen in turn acts here as a predisposition to thrombosis. Absorption of thrombotic by-products from the amniotic fluid can explain the unusual amniocyte inclusions that are common with gastroschisis, while a role for estrogens suggests a connection between rising gastroschisis prevalence and increasing environmental contamination with estrogen disruptors. This model explains a variety of structural and epidemiological findings, and suggests that stratification of data based on binary effects may clarify associated risks and mechanisms. The model also shows that what is often referred to as vascular disruption may actually reflect alternative or additional factors instead, including thrombosis as a primary mechanism.
本文提出了一种关于腹裂(一种先天性肠疝形式)的二元血管/血栓形成发病机制,即正常的右脐静脉退化在脐环附近形成了一个可能发生血栓形成的部位。如果发生血栓形成,会使该区域变弱,这可以解释绝大多数右侧病变的原因。该模型源于存在两组与产妇年龄关联不同的风险因素。年龄较大的母亲与血管因素的关联更大(尽管这实际上可能代表不存在任何显著的产妇年龄效应),这与腹裂与先天性心脏病变以及与肢体发育不全的关联一致。另一方面,其他易患因素,尤其是产妇年龄降低(这是已知最大的风险因素),与提高产妇雌激素水平的因素相关,有证据表明雌激素在这里反过来作为血栓形成的易患因素。羊水对血栓形成副产物的吸收可以解释腹裂常见的异常羊膜细胞包涵体,而雌激素的作用表明腹裂患病率上升与环境中雌激素干扰物污染增加之间存在联系。该模型解释了各种结构和流行病学发现,并表明基于二元效应的数据分层可能会阐明相关风险和机制。该模型还表明,通常所说的血管破坏实际上可能反而反映了其他因素或额外因素,包括血栓形成作为主要机制。