Hepatitis E-related adverse pregnancy outcomes and their prevention by hepatitis E vaccine in a rabbit model

Hepatitis E virus (HEV) can lead to high mortality during pregnancy. This study was to investigate the adverse pregnancy outcomes caused by different HEV genotypes and their prevention by HEV 239 vaccine in rabbits. Forty-two female rabbits were randomly and equally divided into 7 groups (A-G). HEV 239 vaccine and a placebo were administered to groups E (10 μg×2), F (5 μg×2) and G (1 mL of PBS×2) before copulation. After pregnancy, 1 mL of 1.5×106 copies/mL rabbit HEV3 was inoculated to groups A, E, F and G, swine HEV4/human HEV3 to groups B/C, and group D was a negative control. Anti-HEV antibody, HEV RNA, and alanine aminotransferase (ALT)/aspartate aminotransferase (AST) levels were monitored. Pregnant rabbits infected by HEV manifested HEV infection symptoms including fecal virus shedding, ALT/AST elevation, and histopathological changes, and adverse pregnancy outcomes. Immunized pregnant rabbits in groups E and F showed no HEV infection symptoms and adverse outcomes. The newborn rabbits delivered by pregnant rabbits with/without immunization showed without/with HEV infection symptoms. This study demonstrated that multiple genotypes of HEV infection can cause adverse outcomes and HEV 239 vaccine can prevent HEV-related adverse outcomes in pregnant rabbits.

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PID https://www.doi.org/10.6084/m9.figshare.9033830.v1
PID https://www.doi.org/10.6084/m9.figshare.9033830
URL http://dx.doi.org/10.6084/m9.figshare.9033830.v1
URL https://figshare.com/articles/Hepatitis_E-related_adverse_pregnancy_outcomes_and_their_prevention_by_hepatitis_E_vaccine_in_a_rabbit_model/9033830
URL https://dx.doi.org/10.6084/m9.figshare.9033830.v1
URL https://dx.doi.org/10.6084/m9.figshare.9033830
URL http://dx.doi.org/10.6084/m9.figshare.9033830
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Author Manyu Li
Author Shuangshuang Li
Author Qiyu He
Author Zhaochao Liang
Author Wang, Lin
Author Qianhui Wang
Author Wang, Ling
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Collected From Datacite; figshare
Hosted By figshare
Publication Date 2019-07-24
Publisher Taylor & Francis
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Resource Type Dataset
keyword FOS: Chemical sciences
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Clinical medicine
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::b1b88afa0937958feff77c102d68f716
Author jsonws_user
Last Updated 28 December 2020, 21:08 (CET)
Created 28 December 2020, 21:08 (CET)