Linking autism to an imbalanced catabolism of synaptic monoamines

Dominique G. Béroule
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Abstract

An interdisciplinary study of autism led to implicate a relatively poor catabolism of one of the monoamines released in the synapse, namely serotonin . This deficit would result from persistent epigenetic regulations of two enzymes (i.e.: MAOA- and COMT+) across neural differentiation, for counteracting an accidental excess of MAOA in the early gestation. Epigenetic traits would outlast this temporary excess and be inherited by generations of neurons, and possibly by next human generations. In addition, the late occurrence of autistic symptoms may be consistent with the rising of the MAOB enzyme that degrades another monoamine ( dopamine ), but only significantly around two years after birth. The consequent long-term imbalance of synaptic monoamines is assumed here to impact the architecture of sleep and learning [1], inducing a range of developmental problems. This theory is drawn on Guided Propagation Networks (GPNs), the computer simulations of which show the growth of aberrant structures when modulation parameters akin to monoamines do not satisfy inner learning constraints. Comparisons are made between a reference well-tuned network and others grown with shifted parameters, all using the same learning data. Unlike the reference network, impaired GPNs display features that have been observed in the autistic
自闭症与突触单胺的不平衡分解代谢有关
一项关于自闭症的跨学科研究表明,突触中释放的一种单胺,即血清素的分解代谢相对较差。这种缺陷可能是由于神经分化过程中两种酶(即:MAOA-和COMT+)的持续表观遗传调节,以抵消妊娠早期意外过量的MAOA。表观遗传特征会比这种暂时的过剩更持久,并被几代神经元遗传,甚至可能被下一代遗传。此外,自闭症症状的晚期出现可能与MAOB酶的升高一致,MAOB酶可以降解另一种单胺(多巴胺),但仅在出生后两年左右显著升高。由此产生的突触单胺的长期失衡被认为会影响睡眠和学习的结构,诱发一系列的发育问题。这一理论是在引导传播网络(GPNs)上得出的,计算机模拟表明,当类似单胺的调制参数不满足内部学习约束时,异常结构的生长。在使用相同的学习数据的情况下,将经过良好调优的参考网络与使用移位参数的其他网络进行比较。与参考网络不同,受损的gpn显示出在自闭症患者中观察到的特征
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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