Objective To explore the clinical characteristics and diagnostic methods of cerebral schistosomiasis.Methods The data of CT,MRI and the cerebral spine fluid(CSF) immunoassay in 42 patients with cerebral schistosomiasis were analyzed retrospectively.Results Forty cerebral schistosomiasis patients were diagnosed by the iconography and immunoassay,1 by the postoperative pathological examination and 1 by diagnostic treatment with praziquantel.Conclusions CT and MRI are of great value to determination of the position and nature of the cerebral schistosomiasis.The sensitivity and accuracy of MRI are better for indicating the main pathological changes of the disease than those of CT.The CSF immunoassay plays an important role in the differential diagnosis of cerebral schistosomiasis.

Microbes play important roles in human health and disease. The interaction between microbes and hosts is a reciprocal relationship, which remains largely under-explored. Current com-putational resources lack manually and consistently curated data to connect metagenomic data to pathogenic microbes, microbial core genes, and disease phenotypes. We developed the MicroPhenoDB database by manually curating and consistently integrating microbe-disease associ-ation data. MicroPhenoDB provides 5677 non-redundant associations between 1781 microbes and 542 human disease phenotypes across more than 22 human body sites. MicroPhenoDB also pro-vides 696,934 relationships between 27,277 unique clade-specific core genes and 685 microbes. Dis-ease phenotypes are classified and described using the Experimental Factor Ontology (EFO). A refined score model was developed to prioritize the associations based on evidential metrics. The sequence search option in MicroPhenoDB enables rapid identification of existing pathogenic microbes in samples without running the usual metagenomic data processing and assembly. Micro-PhenoDB offers data browsing, searching, and visualization through user-friendly web interfaces and web service application programming interfaces. MicroPhenoDB is the first database platform to detail the relationships between pathogenic microbes, core genes, and disease phenotypes. It will accelerate metagenomic data analysis and assist studies in decoding microbes related to human dis-eases. MicroPhenoDB is available through http://www.liwzlab.cn/microphenodb and http://lilab2. sysu.edu.cn/microphenodb.