Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023
Cluster analysis of HIV sequence can provide insights into viral transmission patterns in border regions. This study aims to illuminate the HIV-1 subtype distribution and transmission dynamics among newly diagnosed individuals in Dehong prefecture, a region along the China-Myanmar border. Among 948...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Emerging Microbes and Infections |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22221751.2024.2409319 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846138713861521408 |
|---|---|
| author | Huan Liu Yichen Jin Yuecheng Yang Xing Duan Yanfen Cao Duo Shan Chang Cai Houlin Tang |
| author_facet | Huan Liu Yichen Jin Yuecheng Yang Xing Duan Yanfen Cao Duo Shan Chang Cai Houlin Tang |
| author_sort | Huan Liu |
| collection | DOAJ |
| description | Cluster analysis of HIV sequence can provide insights into viral transmission patterns in border regions. This study aims to illuminate the HIV-1 subtype distribution and transmission dynamics among newly diagnosed individuals in Dehong prefecture, a region along the China-Myanmar border. Among 948 participants with pol gene sequences, 36 HIV-1 subtypes were identified, with URFs (18.8%, 178/948) being the dominant strain, followed by CRF01_AE (18.5%, 175/948) and CRF07_BC (10.9%, 103/948). Additionally, 287 sequences (30.3%, 287/948) were grouped into 91 clusters, 31 of which contained both Chinese and Burmese individuals. Multivariable logistic regression indicated that men who have sex with men (MSM), CD4 + cell count of 200∼499, and 500 cells/μl and above, and CRF01_AE were risk factors for entering the network. Through the Chord diagram, we found frequent transmission relationships among heterosexual China male group, especially those over 35 years of age. Additionally, the correlation between heterosexual Myanmar female group and heterosexual China male group among cross-risk groups deserved to be emphasized. Furthermore, the network exhibited a growing trend over time, with the largest active transmission cluster identified in Ruili county. In conclusion, the HIV-1 subtype landscape in Dehong has become increasingly complex, and the region has faced risks of transmission from both domestic and international sources. Targeted intervention strategies should be implemented for MSM, heterosexual Chinese middle-aged and elderly men, and heterosexual Burmese young adults to mitigate these risks. These findings provided evidence-based insights for local government to formulate coordinated transnational intervention approaches. |
| format | Article |
| id | doaj-art-e4280132ecaf4ce3adf64fb4a6bdd393 |
| institution | Kabale University |
| issn | 2222-1751 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Emerging Microbes and Infections |
| spelling | doaj-art-e4280132ecaf4ce3adf64fb4a6bdd3932024-12-07T04:40:16ZengTaylor & Francis GroupEmerging Microbes and Infections2222-17512024-12-0113110.1080/22221751.2024.2409319Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023Huan Liu0Yichen Jin1Yuecheng Yang2Xing Duan3Yanfen Cao4Duo Shan5Chang Cai6Houlin Tang7National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaDepartment of STD/AIDS Prevention and Control, Dehong Prefecture Center for Disease Control and Prevention, Mangshi, People’s Republic of ChinaDepartment of STD/AIDS Prevention and Control, Dehong Prefecture Center for Disease Control and Prevention, Mangshi, People’s Republic of ChinaDepartment of STD/AIDS Prevention and Control, Dehong Prefecture Center for Disease Control and Prevention, Mangshi, People’s Republic of ChinaNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaCluster analysis of HIV sequence can provide insights into viral transmission patterns in border regions. This study aims to illuminate the HIV-1 subtype distribution and transmission dynamics among newly diagnosed individuals in Dehong prefecture, a region along the China-Myanmar border. Among 948 participants with pol gene sequences, 36 HIV-1 subtypes were identified, with URFs (18.8%, 178/948) being the dominant strain, followed by CRF01_AE (18.5%, 175/948) and CRF07_BC (10.9%, 103/948). Additionally, 287 sequences (30.3%, 287/948) were grouped into 91 clusters, 31 of which contained both Chinese and Burmese individuals. Multivariable logistic regression indicated that men who have sex with men (MSM), CD4 + cell count of 200∼499, and 500 cells/μl and above, and CRF01_AE were risk factors for entering the network. Through the Chord diagram, we found frequent transmission relationships among heterosexual China male group, especially those over 35 years of age. Additionally, the correlation between heterosexual Myanmar female group and heterosexual China male group among cross-risk groups deserved to be emphasized. Furthermore, the network exhibited a growing trend over time, with the largest active transmission cluster identified in Ruili county. In conclusion, the HIV-1 subtype landscape in Dehong has become increasingly complex, and the region has faced risks of transmission from both domestic and international sources. Targeted intervention strategies should be implemented for MSM, heterosexual Chinese middle-aged and elderly men, and heterosexual Burmese young adults to mitigate these risks. These findings provided evidence-based insights for local government to formulate coordinated transnational intervention approaches.https://www.tandfonline.com/doi/10.1080/22221751.2024.2409319HIV-1molecular epidemiologysubtypecluster analysiscross-border |
| spellingShingle | Huan Liu Yichen Jin Yuecheng Yang Xing Duan Yanfen Cao Duo Shan Chang Cai Houlin Tang Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023 Emerging Microbes and Infections HIV-1 molecular epidemiology subtype cluster analysis cross-border |
| title | Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023 |
| title_full | Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023 |
| title_fullStr | Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023 |
| title_full_unstemmed | Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023 |
| title_short | Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023 |
| title_sort | characterizing hiv 1 transmission by genetic cluster analysis among newly diagnosed patients in the china myanmar border region from 2020 to 2023 |
| topic | HIV-1 molecular epidemiology subtype cluster analysis cross-border |
| url | https://www.tandfonline.com/doi/10.1080/22221751.2024.2409319 |
| work_keys_str_mv | AT huanliu characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 AT yichenjin characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 AT yuechengyang characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 AT xingduan characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 AT yanfencao characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 AT duoshan characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 AT changcai characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 AT houlintang characterizinghiv1transmissionbygeneticclusteranalysisamongnewlydiagnosedpatientsinthechinamyanmarborderregionfrom2020to2023 |