Department of Microbiology, Gauhati Medical College and Hospital, Guwahati, Assam, India.
Department of Bioscience and Bioengineering, Indian Institute of Technology, Guwahati, Assam, India.
APMIS. 2024 Sep;132(9):638-645. doi: 10.1111/apm.13443. Epub 2024 Jun 5.
Acute encephalitis syndrome (AES) is a major public health concern in India as the aetiology remains unknown in the majority of cases with the current testing algorithm. We aimed to study the incidence of Japanese encephalitis (JE) and determine the aetiology of non-JE AES cases to develop an evidence-based testing algorithm. Cerebrospinal fluid (CSF) samples were tested for Japanese encephalitis virus by ELISA and polymerase chain reaction (PCR). Multiplex real-time PCR was done for Dengue, Chikungunya, West Nile, Zika, Enterovirus, Epstein Barr Virus, Herpes Simplex Virus, Adenovirus, Cytomegalovirus, Herpesvirus 6, Parechovirus, Parvovirus B19, Varicella Zoster Virus, Scrub typhus, Rickettsia species, Leptospira, Salmonella species, Streptococcus pneumoniae, Haemophilus influenzae, Neisseria meningitidis, Plasmodium species and by ELISA for Mumps and Measles virus. Of the 3173 CSF samples, 461 (14.5%) were positive for JE. Of the 334 non-JE AES cases, 66.2% viz. Scrub typhus (25.7%), Mumps (19.5%), Measles (4.2%), Parvovirus B19 (3.9%) Plasmodium (2.7%), HSV 1 and 2 (2.4%), EBV and Streptococcus pneumoniae (2.1% each), Salmonella and HHV 6 (1.2% each) were predominant. Hence, an improved surveillance system and our suggested expanded testing algorithm can improve the diagnosis of potentially treatable infectious agents of AES in India.
急性脑炎综合征(AES)是印度的一个主要公共卫生关注点,因为在目前的检测算法中,大多数病例的病因仍不清楚。我们旨在研究日本脑炎(JE)的发病率,并确定非 JE AES 病例的病因,以制定基于证据的检测算法。通过酶联免疫吸附试验(ELISA)和聚合酶链反应(PCR)检测脑脊液(CSF)样本中的日本脑炎病毒。采用多重实时 PCR 检测登革热、基孔肯雅热、西尼罗河热、寨卡热、肠道病毒、埃可病毒、Epstein-Barr 病毒、单纯疱疹病毒、腺病毒、巨细胞病毒、疱疹病毒 6、肠道病毒 71、细小病毒 B19、水痘-带状疱疹病毒、恙虫病、立克次体、钩端螺旋体、沙门氏菌、肺炎链球菌、流感嗜血杆菌、脑膜炎奈瑟菌、疟原虫和腮腺炎病毒、麻疹病毒。在 3173 份 CSF 样本中,461 份(14.5%)JE 阳性。在 334 例非 JE AES 病例中,66.2%(25.7%为恙虫病、19.5%为腮腺炎、4.2%为麻疹、3.9%为细小病毒 B19、2.7%为疟原虫、2.4%为单纯疱疹病毒 1 和 2、2.1%为 EBV 和肺炎链球菌、1.2%为沙门氏菌和 HHV 6)。因此,改进监测系统和我们建议的扩展检测算法可以提高印度 AES 中潜在可治疗感染因子的诊断水平。
J Vector Borne Dis. 2017
Indian J Med Microbiol. 2017
Trans R Soc Trop Med Hyg. 2021-9-3
Front Cell Infect Microbiol. 2024
PLoS Negl Trop Dis. 2018-3-28