Your browser doesn't support javascript.
loading
Molecular epidemiology and transmission of HIV-1 infection in Zhejiang province, 2015 / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 1551-1556, 2017.
Article in Chinese | WPRIM | ID: wpr-737872
ABSTRACT
Objective To understand the distribution of HIV-1 subtype diversity and its transmission characteristics in Zhejiang province. Methods A total of 302 newly diagnosed HIV-1 positive patients were selected through stratified random sampling in Zhejiang in 2015. HIV-1 pol genes were sequenced successfully with reverse transcription PCR/nested PCR and phylogenetic analysis was conducted for 276 patients. Then a molecular epidemiologic study was performed combined with field epidemiological investigation. Results Of 276 sequence samples analyzed, 122 CRF07_BC strains (44.2%), 103 CRF01_AE strains (37.3%), 17 CRF08_BC strains (6.1%), 9 B strains (3.2%), 6 CRF55_01B strains (2.2%), 5 C strains (1.8%), 1 CRF59_01B strain (0.4%), 1 CRF67_01B strain (0.4%), 1 A1 strain (0.4%), and 11 URFs strains (4.0%) were identified. Phylogenetic analysis revealed 16 clusters with only 15.1% (34/225) sequences involved among CRF07_BC and CRF01_AE strains. The clustered cases in MSM were higher than that in populations with other transmission routes. And clusters existed between the populations with different transmission routes. Conclusion The major strains of HIV-1 in Zhejiang are CRF07_BC and CRF01_AE. The HIV subtypes showed more complexity in Zhejiang. It is necessary to strengthen the surveillance for HIV subtypes, carry out classified management and conduct effective prevention and control in the population at high risk.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Screening study Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2017 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Screening study Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2017 Type: Article