Dominance of DENV‐1 and Flavivirus Serological Cross‐Reactivity During the 2016 Dengue Outbreak in Vietnam Article Swipe
Do Duc Anh
,
Do Huy Loc
,
Hoang Văn Tong
,
Do Thi Huyen Dieu
,
Ngo Thu Hang
,
Nguyen Huu Lanh
,
Nguyen Thi Nhung
,
Peter G. Kremsner
,
Lê Hữu Song
,
Nguyễn Lĩnh Toàn
,
Thirumalaisamy P. Velavan
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/jmv.70569
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/jmv.70569
Flaviviruses such as dengue virus (DENV), Zika virus (ZIKV), and Japanese encephalitis virus (JEV) pose a major health burden in Vietnam, where overlapping clinical features and serological cross‐reactivity complicate accurate diagnosis and outbreak control. This study aimed to investigate circulating DENV serotypes and assess serological cross‐reactivity with other flaviviruses during the 2016 dengue outbreak in central Vietnam. Aretrospective study was conducted on 146 hospitalized dengue patients during the 2016 outbreak in Binh Dinh province. Laboratory diagnosis included NS1antigen testing, ELISA (IgM/IgG), and real‐time RT‐PCR for DENV serotyping. IgM and IgG cross‐reactivity with five flaviviruses, including DENV, ZIKV, JEV, West Nile virus (WNV), and tick‐borne encephalitis virus (TBEV), and onealphavirus, chikungunya virus (CHIKV), was evaluated using ELISA. DENV‐1 positive samples were further analysed by sequencing the capsid‐premembrane (CprM) gene. DENV‐1 was the predominant serotype (86%), with all sequenced strains clustering within genotype I. Secondary infections were more frequent (64%) than primary infections (36%) and were associated with a significantly higher median age ( p = 0.003) and elevated hs‐CRP levels ( p = 0.029). Strong IgG cross‐reactivity was observed among flaviviruses, particularly DENV, JEV, WNV, and TBEV ( r > 0.85), while ZIKV and CHIKV showed low seropositivity. Incontrast, IgM responses demonstrated greater virus specificity. Ten PCR‐negative cases showed broad serological reactivity, suggesting possible misdiagnosis or late‐stage infection. Our findings reveal that DENV‐1 genotype I was the predominant serotype during the 2016 outbreak in central Vietnam. Extensive IgG cross‐reactivity among flaviviruses hinders serological diagnosis, highlighting the need for integrated molecular surveillance to ensure accurate outbreak response.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/jmv.70569
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmv.70569
- OA Status
- hybrid
- Cited By
- 1
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4413397179
All OpenAlex metadata
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https://openalex.org/W4413397179Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/jmv.70569Digital Object Identifier
- Title
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Dominance of DENV‐1 and Flavivirus Serological Cross‐Reactivity During the 2016 Dengue Outbreak in VietnamWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-01Full publication date if available
- Authors
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Do Duc Anh, Do Huy Loc, Hoang Văn Tong, Do Thi Huyen Dieu, Ngo Thu Hang, Nguyen Huu Lanh, Nguyen Thi Nhung, Peter G. Kremsner, Lê Hữu Song, Nguyễn Lĩnh Toàn, Thirumalaisamy P. VelavanList of authors in order
- Landing page
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https://doi.org/10.1002/jmv.70569Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmv.70569Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmv.70569Direct OA link when available
- Concepts
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Dengue fever, Virology, Serology, Flavivirus, Outbreak, Dengue virus, Dominance (genetics), Biology, Antibody, Virus, Immunology, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.by | 123 |
| abstract_inverted_index.in | 20, 55, 71, 233 |
| abstract_inverted_index.on | 62 |
| abstract_inverted_index.or | 215 |
| abstract_inverted_index.to | 38, 251 |
| abstract_inverted_index.146 | 63 |
| abstract_inverted_index.IgG | 90, 175, 237 |
| abstract_inverted_index.IgM | 88, 199 |
| abstract_inverted_index.Our | 218 |
| abstract_inverted_index.Ten | 205 |
| abstract_inverted_index.age | 161 |
| abstract_inverted_index.all | 136 |
| abstract_inverted_index.and | 10, 26, 32, 43, 82, 89, 103, 108, 153, 166, 185, 193 |
| abstract_inverted_index.for | 85, 247 |
| abstract_inverted_index.low | 196 |
| abstract_inverted_index.the | 51, 68, 125, 131, 226, 230, 245 |
| abstract_inverted_index.was | 60, 113, 130, 177, 225 |
| abstract_inverted_index.> | 189 |
| abstract_inverted_index.2016 | 52, 69, 231 |
| abstract_inverted_index.Binh | 72 |
| abstract_inverted_index.DENV | 41, 86 |
| abstract_inverted_index.Dinh | 73 |
| abstract_inverted_index.JEV, | 98, 183 |
| abstract_inverted_index.Nile | 100 |
| abstract_inverted_index.TBEV | 186 |
| abstract_inverted_index.This | 35 |
| abstract_inverted_index.WNV, | 184 |
| abstract_inverted_index.West | 99 |
| abstract_inverted_index.ZIKV | 192 |
| abstract_inverted_index.Zika | 7 |
| abstract_inverted_index.five | 93 |
| abstract_inverted_index.more | 146 |
| abstract_inverted_index.need | 246 |
| abstract_inverted_index.pose | 15 |
| abstract_inverted_index.such | 2 |
| abstract_inverted_index.than | 149 |
| abstract_inverted_index.that | 221 |
| abstract_inverted_index.were | 120, 145, 154 |
| abstract_inverted_index.with | 47, 92, 135, 156 |
| abstract_inverted_index.(36%) | 152 |
| abstract_inverted_index.(64%) | 148 |
| abstract_inverted_index.(JEV) | 14 |
| abstract_inverted_index.CHIKV | 194 |
| abstract_inverted_index.DENV, | 96, 182 |
| abstract_inverted_index.ELISA | 80 |
| abstract_inverted_index.ZIKV, | 97 |
| abstract_inverted_index.aimed | 37 |
| abstract_inverted_index.among | 179, 239 |
| abstract_inverted_index.broad | 209 |
| abstract_inverted_index.cases | 207 |
| abstract_inverted_index.gene. | 128 |
| abstract_inverted_index.major | 17 |
| abstract_inverted_index.other | 48 |
| abstract_inverted_index.study | 36, 59 |
| abstract_inverted_index.using | 115 |
| abstract_inverted_index.virus | 5, 8, 13, 101, 106, 111, 203 |
| abstract_inverted_index.where | 22 |
| abstract_inverted_index.while | 191 |
| abstract_inverted_index.(86%), | 134 |
| abstract_inverted_index.(CprM) | 127 |
| abstract_inverted_index.(WNV), | 102 |
| abstract_inverted_index.0.003) | 165 |
| abstract_inverted_index.0.85), | 190 |
| abstract_inverted_index.ELISA. | 116 |
| abstract_inverted_index.Strong | 174 |
| abstract_inverted_index.assess | 44 |
| abstract_inverted_index.burden | 19 |
| abstract_inverted_index.dengue | 4, 53, 65 |
| abstract_inverted_index.during | 50, 67, 229 |
| abstract_inverted_index.ensure | 252 |
| abstract_inverted_index.health | 18 |
| abstract_inverted_index.higher | 159 |
| abstract_inverted_index.levels | 169 |
| abstract_inverted_index.median | 160 |
| abstract_inverted_index.reveal | 220 |
| abstract_inverted_index.showed | 195, 208 |
| abstract_inverted_index.within | 140 |
| abstract_inverted_index.(DENV), | 6 |
| abstract_inverted_index.(TBEV), | 107 |
| abstract_inverted_index.(ZIKV), | 9 |
| abstract_inverted_index.0.029). | 173 |
| abstract_inverted_index.central | 56, 234 |
| abstract_inverted_index.further | 121 |
| abstract_inverted_index.greater | 202 |
| abstract_inverted_index.hinders | 241 |
| abstract_inverted_index.primary | 150 |
| abstract_inverted_index.samples | 119 |
| abstract_inverted_index.strains | 138 |
| abstract_inverted_index.(CHIKV), | 112 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.DENV‐1 | 117, 129, 222 |
| abstract_inverted_index.Japanese | 11 |
| abstract_inverted_index.RT‐PCR | 84 |
| abstract_inverted_index.Vietnam, | 21 |
| abstract_inverted_index.Vietnam. | 57, 235 |
| abstract_inverted_index.accurate | 30, 253 |
| abstract_inverted_index.analysed | 122 |
| abstract_inverted_index.clinical | 24 |
| abstract_inverted_index.control. | 34 |
| abstract_inverted_index.elevated | 167 |
| abstract_inverted_index.features | 25 |
| abstract_inverted_index.findings | 219 |
| abstract_inverted_index.frequent | 147 |
| abstract_inverted_index.genotype | 141, 223 |
| abstract_inverted_index.hs‐CRP | 168 |
| abstract_inverted_index.included | 77 |
| abstract_inverted_index.observed | 178 |
| abstract_inverted_index.outbreak | 33, 54, 70, 232, 254 |
| abstract_inverted_index.patients | 66 |
| abstract_inverted_index.positive | 118 |
| abstract_inverted_index.possible | 213 |
| abstract_inverted_index.serotype | 133, 228 |
| abstract_inverted_index.testing, | 79 |
| abstract_inverted_index.Extensive | 236 |
| abstract_inverted_index.Secondary | 143 |
| abstract_inverted_index.conducted | 61 |
| abstract_inverted_index.diagnosis | 31, 76 |
| abstract_inverted_index.evaluated | 114 |
| abstract_inverted_index.including | 95 |
| abstract_inverted_index.molecular | 249 |
| abstract_inverted_index.province. | 74 |
| abstract_inverted_index.response. | 255 |
| abstract_inverted_index.responses | 200 |
| abstract_inverted_index.sequenced | 137 |
| abstract_inverted_index.serotypes | 42 |
| abstract_inverted_index.(IgM/IgG), | 81 |
| abstract_inverted_index.Laboratory | 75 |
| abstract_inverted_index.NS1antigen | 78 |
| abstract_inverted_index.associated | 155 |
| abstract_inverted_index.clustering | 139 |
| abstract_inverted_index.complicate | 29 |
| abstract_inverted_index.diagnosis, | 243 |
| abstract_inverted_index.infection. | 217 |
| abstract_inverted_index.infections | 144, 151 |
| abstract_inverted_index.integrated | 248 |
| abstract_inverted_index.sequencing | 124 |
| abstract_inverted_index.suggesting | 212 |
| abstract_inverted_index.Incontrast, | 198 |
| abstract_inverted_index.chikungunya | 110 |
| abstract_inverted_index.circulating | 40 |
| abstract_inverted_index.investigate | 39 |
| abstract_inverted_index.overlapping | 23 |
| abstract_inverted_index.predominant | 132, 227 |
| abstract_inverted_index.reactivity, | 211 |
| abstract_inverted_index.real‐time | 83 |
| abstract_inverted_index.serological | 27, 45, 210, 242 |
| abstract_inverted_index.serotyping. | 87 |
| abstract_inverted_index.Flaviviruses | 1 |
| abstract_inverted_index.demonstrated | 201 |
| abstract_inverted_index.encephalitis | 12, 105 |
| abstract_inverted_index.flaviviruses | 49, 240 |
| abstract_inverted_index.highlighting | 244 |
| abstract_inverted_index.hospitalized | 64 |
| abstract_inverted_index.late‐stage | 216 |
| abstract_inverted_index.misdiagnosis | 214 |
| abstract_inverted_index.particularly | 181 |
| abstract_inverted_index.specificity. | 204 |
| abstract_inverted_index.surveillance | 250 |
| abstract_inverted_index.tick‐borne | 104 |
| abstract_inverted_index.flaviviruses, | 94, 180 |
| abstract_inverted_index.significantly | 158 |
| abstract_inverted_index.Aretrospective | 58 |
| abstract_inverted_index.PCR‐negative | 206 |
| abstract_inverted_index.onealphavirus, | 109 |
| abstract_inverted_index.seropositivity. | 197 |
| abstract_inverted_index.cross‐reactivity | 28, 46, 91, 176, 238 |
| abstract_inverted_index.capsid‐premembrane | 126 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 11 |
| citation_normalized_percentile.value | 0.92617938 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |