| Literature DB >> 33923945 |
Kwang Gon Kim1, Hye-Young Kee1, Hye Jung Park1, Jae Keun Chung1, Tae Sun Kim1, Min Ji Kim1.
Abstract
This study evaluated the long-term impact of rotavirus vaccination on prevalence, seasonality, and genotype distribution in Gwangju, Korea for 13 seasons. Rotavirus was identified using ELISA and then sequenced for G and P genotypes by Reverse Transcription Polymerase Chain Reactions for diarrhoeagenic patient specimens from local hospitals between January 2008 and August2020. Of 26,902 fecal samples, 2919 samples (10.9%) were ELISA positive. The prevalence declined from 16.3% in pre-vaccine era to 5.4% in post-vaccine era. In the pre-vaccine period, G1P[8] was the most common genotype, followed by G2P[4], G3P[8], and G9P[8], etc. In the transitional period, the proportion of G2P[4] became the dominant genotype and G1P[8] was still commonly identified. In contrast, the novel genotype G8P[8] was predominant in the post-vaccine period. Meanwhile, G2P[4] and G8P[8] were major genotypes in both Rotarix and RotaTeq groups. The substantial decline of G1P[8] prevalence, reemergence of G1P[8], G3P[8], and G2P[4] rotavirus strains, and surge of the rare G8P[8] after vaccine introduction were interesting points to note. The continuous surveillance on the genotypes of RV will be needed to understand rotavirus epidemiology and their evolutionary patterns, as caution is required when interpreting temporal changes in RV genotype dynamic.Entities:
Keywords: G8P[8]; RotaTeq; Rotarix; genotype; rotavirus
Year: 2021 PMID: 33923945 PMCID: PMC8073504 DOI: 10.3390/vaccines9040406
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Figure 1Absolute frequencies of patient samples, rotavirus-positive samples investigated, and prevalence of rotavirus throughout the study period in Korea, 2008–2020.
Rate of rotavirus detection by age group and prevalence of distinct RVA genotypes in the pre-, transitional, and post-vaccination periods in Korea, 2008–2020. p-values were calculated for the pre-vaccine period and the post-vaccine period.
| Pre-Vaccine | Transitional | Post-Vaccine | ||
|---|---|---|---|---|
| Age group | ||||
| <1 years | 35/1145 (3.1%) | 20/955 (2.1%) | 28/1291 (2.2%) | 0.17 |
| 1 years | 507/3567 (14.2%) | 130/2301 (5.6%) | 75/1539 (4.9%) | <0.01 |
| 2 years | 619/2138 (29%) | 186/1174 (15.8%) | 78/927 (8.4%) | <0.01 |
| 3 years | 300/1024 (29.3%) | 111/686 (16.2%) | 65/697 (9.3%) | <0.01 |
| 4 years | 140/667 (21%) | 90/513 (17.5%) | 58/575 (10.1%) | <0.01 |
| 5–9 years | 157/1518 (10.3%) | 95/1103 (8.6%) | 115/1855 (6.2%) | <0.01 |
| 10–16 years | 19/657 (2.9%) | 18/408 (4.4%) | 11/734 (1.5%) | 0.07 |
| adults (>17 years) | 4/139 (2.8%) | 6/139 (3.2%) | 17/500 (3%) | 0.76 |
| Total | 1792/11009 (16.3%) | 676/7567 (8.9%) | 451/8326 (5.4%) | <0.01 |
| Roravirus genotypes | ||||
| G1P[8] | 188/467 (40.3%) | 186/564 (33.0%) | 18/355 (5.1%) | <0.01 |
| G2P[4] | 84/467 (18.0%) | 218/564 (38.7%) | 63/355 (17.7%) | 0.93 |
| G3P[8] | 81/467 (17.3%) | 27/564 (4.8%) | 22/355 (6.2%) | <0.01 |
| G8P[8] | - | - | 157/355 (44.2%) | <0.01 |
| G9P[8] | 42/467 (9.0%) | 51/564 (9.0%) | 54/355 (15.2%) | <0.01 |
Figure 2Temporal distribution of rotavirus genotypes identified by age <5 years of age (A) and ≥5 years of age (B) over the course of the study in Korea, 2008–2020. The proportion of each rotavirus genotypes identified is shown as a 100% stacked bar chart.
Figure 3Temporal distribution of rotavirus genotypes identified per month over the course of the study in Korea, 2008–2020. The proportion of each rotavirus genotypes identified is shown as a stacked bar chart.
Figure 4Distribution of rotavirus genotypes by age group and vaccination status in Korea.
Figure 5Distribution of rotavirus genotypes by the type of vaccine; Rotarix and RotaTeq in Korea, during post-vaccine period.