Hepatitis A virus subgenotypes in Latvia, 2008-2021.


Journal

Journal of infection and public health
ISSN: 1876-035X
Titre abrégé: J Infect Public Health
Pays: England
ID NLM: 101487384

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 15 12 2022
revised: 21 06 2023
accepted: 17 07 2023
medline: 11 8 2023
pubmed: 3 8 2023
entrez: 2 8 2023
Statut: ppublish

Résumé

In Latvia outbreaks of the HAV were observed between 2008 and early 2010 and again in 2017-2018. However, the risks of introducing and spreading infection still exist, as the virus spreads easily when personal hygiene is not followed. To determine the spread of HAV subgenotypes in the territory of Latvia the VP1/P2A genomic region of HAV was amplified and sequenced for 259 case serum samples. The study carried out a molecular biological investigation and molecular epidemiological investigation. Demographic data (sex, age), disease data (hepatitis symptoms, hospitalization, vaccination) and epidemiology data (part of the outbreak, possible source of infection, recent travel) were collected. Based on the obtained sequences, the phylogenetic tree was built and analyzed for the homology and belonging to different isolated HAV clusters from other countries. From the obtained data, it was concluded that HAV subgenotype IA had 13 clusters and 12 sporadic cases, HAV subgenotype IB had eight clusters and 11 sporadic cases, HAV subgenotype IIIA had one cluster and nine sporadic cases. It was found that the sources of infection among the investigated cases were different, they were mostly associated with contact with a patient with HAV, travel, as well as between persons who inject drugs and men who have sex with men, and the prevalence of HAV similar sequences was observed in different years. It was concluded that patients with HAV subgenotype IA had the longest hospitalization duration and averaged 9.3 days, while patients with subgenotype IB - 7.3 days, subgenotype IIIA - 7.7 days. Analyzing the data on vaccination, it was found that mostly all were not vaccinated or had an unknown vaccination status. All of this has led to the conclusion that the application of molecular biological methods of the HAV and a careful analysis of epidemiological data can help to better understand the ways of spreading the infection, investigate local outbreaks, detect cases of imported infection and track the recirculation of the virus.

Sections du résumé

BACKGROUND BACKGROUND
In Latvia outbreaks of the HAV were observed between 2008 and early 2010 and again in 2017-2018. However, the risks of introducing and spreading infection still exist, as the virus spreads easily when personal hygiene is not followed.
METHODS METHODS
To determine the spread of HAV subgenotypes in the territory of Latvia the VP1/P2A genomic region of HAV was amplified and sequenced for 259 case serum samples. The study carried out a molecular biological investigation and molecular epidemiological investigation. Demographic data (sex, age), disease data (hepatitis symptoms, hospitalization, vaccination) and epidemiology data (part of the outbreak, possible source of infection, recent travel) were collected. Based on the obtained sequences, the phylogenetic tree was built and analyzed for the homology and belonging to different isolated HAV clusters from other countries.
RESULTS RESULTS
From the obtained data, it was concluded that HAV subgenotype IA had 13 clusters and 12 sporadic cases, HAV subgenotype IB had eight clusters and 11 sporadic cases, HAV subgenotype IIIA had one cluster and nine sporadic cases. It was found that the sources of infection among the investigated cases were different, they were mostly associated with contact with a patient with HAV, travel, as well as between persons who inject drugs and men who have sex with men, and the prevalence of HAV similar sequences was observed in different years. It was concluded that patients with HAV subgenotype IA had the longest hospitalization duration and averaged 9.3 days, while patients with subgenotype IB - 7.3 days, subgenotype IIIA - 7.7 days. Analyzing the data on vaccination, it was found that mostly all were not vaccinated or had an unknown vaccination status.
CONCLUSIONS CONCLUSIONS
All of this has led to the conclusion that the application of molecular biological methods of the HAV and a careful analysis of epidemiological data can help to better understand the ways of spreading the infection, investigate local outbreaks, detect cases of imported infection and track the recirculation of the virus.

Identifiants

pubmed: 37531706
pii: S1876-0341(23)00243-5
doi: 10.1016/j.jiph.2023.07.012
pii:
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1462-1470

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest There is no conflict of interest to declare.

Auteurs

Oksana Savicka (O)

Riga East Clinical University Hospital, Laboratory "Latvian Centre of Infectious Diseases", National Microbiology Reference Laboratory, Riga, Latvia; Riga Stradins University, Department of Infectology, Latvia. Electronic address: oksana_savicka@inbox.lv.

Diana Dusacka (D)

Riga East Clinical University Hospital, Laboratory "Latvian Centre of Infectious Diseases", National Microbiology Reference Laboratory, Riga, Latvia.

Reinis Zeltmatis (R)

Riga East Clinical University Hospital, Laboratory "Latvian Centre of Infectious Diseases", National Microbiology Reference Laboratory, Riga, Latvia.

Sergejs Nikisins (S)

Riga East Clinical University Hospital, Laboratory "Latvian Centre of Infectious Diseases", National Microbiology Reference Laboratory, Riga, Latvia.

Inga Azina (I)

Riga East Clinical University Hospital, hospital "Latvian Centre of Infectious Diseases", Riga, Latvia; Riga Stradins University, Department of Public Health and Epidemiology, Latvia.

Ludmila Ivancenko (L)

Riga East Clinical University Hospital, hospital "Latvian Centre of Infectious Diseases", Riga, Latvia.

Ieva Tolmane (I)

Riga East Clinical University Hospital, hospital "Latvian Centre of Infectious Diseases", Riga, Latvia; University of Latvia, Department of Medicine, Latvia.

Baiba Rozentale (B)

Riga East Clinical University Hospital, hospital "Latvian Centre of Infectious Diseases", Riga, Latvia; Riga Stradins University, Department of Public Health and Epidemiology, Latvia.

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Classifications MeSH