我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

抽象的

Review on: A New Cell Technology Model to Understand Zika Virus Induced Microcephaly

Viroj Wiwanitkit

The Zika virus (ZIKV) infection is the present big problem. As a vector borne disease, this infection becomes a problem in several tropical areas around the world. The great concern is the possibility that the transplacental transmission of the pathogen can result in microcephaly child [1]. To understand the pathophysiology of microcephaly due to ZIKV infection is a very interesting topic. Adding to the report by Sakkas et al. [1], the new technology for understanding the pathophysiology of ZIKV infection should also be mentioned. In fact, there are many reports on histopathology and molecular pathology of the ZIKV virus infected cases with microcephaly [2,3]. Nevertheless, those works do not reflect the developmental pathology. The use of animal models might be partial useful, however, it cannot represent the exact process in human beings [4]. To study the developmental pathology, the use of the advanced cell technology, organoids is an interesting alternative technique. The use of brain organoids for understanding ZIKV induced microcephaly is an interesting approach. Qian et al. recently discussed “perspectives on overcoming limitations of current organoid systems for their future use in ZIKV research [5].” In fact, organoids is the new cell technology that is proposed for its advantage in assessment of pathophysiology of many medical disorders. The use for clarification on the pathogenesis of ZIKV infection is also proposed in the medical literature. Nevertheless, there are many limitations of using organoids at present. The usefulness of using organoids technology as a way to assess the pathogenesis of ZIKV induced microcephaly can be expected. Nevertheless, there should be a balanced discussion of the topic- including highlighting some of the limitations with using organoid models to understand ZIKV.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证。