A new hepatitis E virus genotype 2 strain identified from an outbreak in Nigeria, 2017

Wang, Bo; Akanbi, Olusola Anuoluwapo; Harms, Dominik; Adesina, Olufisayo Adeyemi; Osundare, Folakemi Abiodun; Naidoo, Dhamari; Deveaux, Isabel; Ogundiran, Opeayo; Ugochukwu, Uzoma; Nwando,; Ihekweazu, Chikwe; Bock, C.‐Thomas

doi:10.1186/s12985-018-1082-8

Cited by 31 publications

(31 citation statements)

References 17 publications

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“…3) [22]. The phylogenetic analysis also showed one strain that belongs to genotype 2 subtype b that is closely related (~90-93% of identity) to strains isolated from an outbreak in Nigeria in 2017 [23], in France from a person with history of recent travel to Senegal [24], and during a recent outbreak in Burkina Faso (Fig. 3) [25].…”

Section: Phylogenetic Analysismentioning

confidence: 77%

Hepatitis E virus outbreak associated with rainfall in the Central African Republic in 2008-2009

et al. 2020

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Background: Infection by hepatitis E virus (HEV) can cause a high burden of morbidity and mortality in countries with poor access to clean water and sanitation. Our study aimed to investigate the situation of HEV infections in the Central African Republic (CAR). Methods: A retrospective analysis of the blood samples and notification forms collected through the national yellow fever (YF) surveillance program, but for which a diagnosis of YF was discarded, was carried out using an anti-HEV IgM ELISA and a HEV-specific RT-PCR. Results: Of 2883 YF-negative samples collected between January 2008 and December 2012, 745 (~26%) tested positive by at least either of the 2 tests used to confirm HEV cases. The results revealed that the CAR was hit by a large HEV outbreak in 2008 and 2009. The results also showed a clear seasonal pattern with correlation between HEV incidence and rainfall in Bangui. A phylogenetic analysis showed that the circulating strains belonged to genotypes 1e and 2b. Conclusions: Overall, this study provides further evidences that HEV can be a significant cause of acute febrile jaundice, particularly among adults during rainy season or flood, in a country from Sub-Saharan Africa.

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Section: Phylogenetic Analysismentioning

confidence: 77%

Hepatitis E virus outbreak associated with rainfall in the Central African Republic in 2008-2009

et al. 2020

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“…The sequence MH809516 was obtained from Nigeria in 2017 [15] and has a nucleotide p-distance from the 2a sequences of 0.156–0.158. This Nigerian sequence is most closely related to ORF2 sequences of Nigerian strains from a 1997 outbreak (AF172999–3001, AF173230–2) and individual strains from Chad (2004, AY903950) and Central Africa (2002, DQ151640), and more distantly related to strains from Namibia in 1995 (AY370686–9).…”

Section: Resultsmentioning

confidence: 99%

“…This Nigerian sequence is most closely related to ORF2 sequences of Nigerian strains from a 1997 outbreak (AF172999–3001, AF173230–2) and individual strains from Chad (2004, AY903950) and Central Africa (2002, DQ151640), and more distantly related to strains from Namibia in 1995 (AY370686–9). Phylogenetic analysis of ORF2 sequences [15] reveals that MH809516 falls within a cluster of African strains previously assigned as subtype 2b [1]. MH809516 will become the reference sequence for subtype 2b once additional complete genome sequences become available.…”

Section: Resultsmentioning

confidence: 99%

Update: proposed reference sequences for subtypes of hepatitis E virus (species Orthohepevirus A)

Smith

Izopet

Nicot

et al. 2020

Journal of General Virology

264

377

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In this recommendation, we update our 2016 table of reference sequences of subtypes of hepatitis E virus (HEV; species Orthohepevirus A, family Hepeviridae) for which complete genome sequences are available (Smith et al., 2016). This takes into account subsequent publications describing novel viruses and additional proposals for subtype names; there are now eight genotypes and 36 subtypes. Although it remains difficult to define strict criteria for distinguishing between virus subtypes, and is not within the remit of the International Committee on Taxonomy of Viruses (ICTV), the use of agreed reference sequences will bring clarity and stability to researchers, epidemiologists and clinicians working with HEV.

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“…The few papers are traceable to the low prevalence of the disease in the world of which the studied country is a particular case. A similar investigation has been done and can be found in [15], [16], [17], [18], [19], [20], [21].…”

Section: Introductionmentioning

confidence: 88%

Hepatitis E Infection in Nigeria: A Systematic Review

Okagbue¹,

Adamu²,

Bishop³

et al. 2019

Open Access Maced J Med Sci

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BACKGROUND: Research done globally on hepatitis E virus (HEV) infection is far fewer compared with other types of hepatitis virus infection. Little is known on the prevalence of HEV in Nigeria. AIM: The present study presents the prevalence of HEV infection in Nigeria from a few available research papers on HEV. The detailed statistical analysis was used to analyse the prevalence of HEV in humans and animals. MATERIAL AND METHODS: A literature search in Web of Science, Scopus and PubMed databases was done, and a final 7 articles were selected. Minitab 17.0 was used to perform the correlational and binary logistic analyses. RESULTS: Serum and faecal analysis of blood and stool samples of 1178 humans and 210 pigs (animals) were done, and the presence of anti-HEV IgG or HEV RNA in the study samples were 127 and 138 respectively. Further analysis showed the prevalence of HEV are 10.8% and 65.7% in humans and animals, respectively. Weak positive non-significant association (r = 0.327, p-value = 0.474) was obtained between the target (humans and animal) and the HEV infection (positive) groups. The application of binary logistic regression yielded an equation that can be used to predict the target group from the HEV positive humans or animals. Generally, the logistic model was not statistically significant (p-value = 0.376), and the model was able to explain 9.3% of the deviation or variability of the model. The odds ratio is OR = 1.0344 with 0.9550, 1.204 95% Confidence Interval (CI). Thus, in Nigeria, the odds of prevalence of HEV in animals are 1.0344 higher than humans. CONCLUSION: The risk factors obtained from the few available articles are consistent with the global epidemiology of HEV infection. Food and animal handlers and those that consume unsafe water are the key people at risk of HEV infection in Nigeria.

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A new hepatitis E virus genotype 2 strain identified from an outbreak in Nigeria, 2017

Cited by 31 publications

References 17 publications

Hepatitis E virus outbreak associated with rainfall in the Central African Republic in 2008-2009

Hepatitis E virus outbreak associated with rainfall in the Central African Republic in 2008-2009

Update: proposed reference sequences for subtypes of hepatitis E virus (species Orthohepevirus A)

Hepatitis E Infection in Nigeria: A Systematic Review

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