Balamuthia mandrillaris—EBV co-infective encephalitis diagnosed by MetaCAP: comparative mNGS validation and epidemiological landscape from 41 Chinese cases
Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: This study aimed to present the first documented case of fatal granulomatous amoebic encephalitis (GAE) caused by Balamuthia mandrillaris and Epstein-Barr virus (EBV) co-infection, to evaluate the diagnostic performance of MetaCAP targeted sequencing against mNGS, and to provide a national epidemiological profile of this disease in China. METHODS: A 55-year-old male presenting with fever and altered consciousness was comprehensively evaluated. Parallel testing of blood, cerebrospinal fluid (CSF), and bronchoalveolar lavage fluid (BALF) was conducted using both MetaCAP and mNGS technologies. The diagnostic sensitivity of both platforms was directly compared. Additionally, a retrospective analysis of 41 confirmed cases in China was performed to delineate the epidemiological and clinical characteristics. RESULTS: MetaCAP sequencing confirmed the presence of B. mandrillaris and EBV in CSF and blood, with the amoeba also detected in BALF. It demonstrated superior sensitivity, identifying B. mandrillaris at significantly higher levels in blood (1064 vs 7 RPM) and in BALF (7 RPM vs undetected by mNGS). The epidemiological analysis revealed a unique adult-predominant pattern and geographic clustering among Chinese cases. CONCLUSION: This study reports a novel viral-amoebic co-infective GAE and validates MetaCAP as a highly sensitive diagnostic tool, outperforming mNGS for detecting fastidious pathogens. The integrated national cohort data provide critical insights into the disease's profile in China, suggesting that MetaCAP can significantly improve diagnostic yield and guide earlier intervention.
Authors: Ying Zhao, Xueying He, Zeping Han, Fengming Guo, Fangmei Xie, Zengshun Lin, Liangju Chen, Xiaoyu Song, Wenfeng Luo, Feifei Liu, Lei Zhang, Pingping Zhang, Zhiqiang Peng, Jinhua He
Institutions: Panyu District Central Hospital, Guangzhou Medical University
Language: English
Subfield: Endocrinology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,900
Award: G5316868535
OpenAlex ID: W4417231132
