Prevalence of different HIV-1 subtypes in sexual transmission in China: a systematic review and meta-analysis

Yuan, Rui; Cheng, Hua; Chen, L.-S.; Zhang, X.; Wang, B.

doi:10.1017/s0950268816000212

Cited by 42 publications

(33 citation statements)

References 47 publications

(58 reference statements)

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“…A systematic review and meta-analysis conducted in China showed that the pooled prevalence of CRF01_AE, subtype B, CRF07_BC, CRF08_BC, and subtype C was 44.54% (95% CI 40.81–48.30), 18.31% (95% CI 14.71–22.17), 16.45% (95% CI 13.82–19.25), 2.55% (95% CI 1.56–3.73), and 0.37% (95% CI 0.11–0.72), respectively 13 . Notably, the median time from the estimated date of seroconversion to the development of AIDS in the Chinese HIV-1 population was shorter compared with that in other countries 14–16 .…”

Section: Introductionmentioning

confidence: 99%

HIV-1 CRF01_AE strain is associated with faster HIV/AIDS progression in Jiangsu Province, China

Chu

Zhang

et al. 2017

Sci Rep

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The goal of this study was to assess risk factors associated with HIV/AIDS progression. Between May 2007 and December 2014, 114 subjects were enrolled in Wuxi City and examined every 6 months. The pol gene sequence was amplified to ascertain the HIV-1 subtype. A Cox proportional hazards regression model was used to estimate the factors associated with HIV/AIDS progression. The median follow-up time for all 114 subjects was 26.70 months (IQR: 18.50-41.47), while the median progression time of the 38 progressed subjects was 24.80 months (IQR: 14.13-34.38). Overall, the CRF01_AE subtype was correlated with a significant risk of accelerated progression compared to non-CRF01_AE subtypes (HR = 3.14, 95%CI: 1.39-7.08, P = 0.006). In addition, a lower CD4 count (350-499) at baseline was associated with a risk of accelerated HIV/AIDS progression compared to higher CD4 count (≥500) (HR = 4.38, 95%CI: 1.95-9.82, P < 0.001). Furthermore, interaction analyses showed that HIV-1 subtypes interacted multiplicatively with transmission routes or CD4 count at baseline to contribute to HIV/AIDS progression (P = 0.023 and P < 0.001, respectively). In conclusion, the CRF01_AE subtype and a lower CD4 count at baseline tend to be associated with the faster progression of HIV/AIDS. Understanding the factors affecting HIV/AIDS progression is crucial for developing personalized management and clinical counselling strategies.Acquired immunodeficiency syndrome (AIDS) has been a major public health threat since its discovery in the United States in 1981. In general, the progression from human immunodeficiency virus (HIV) infection to AIDS development takes approximately 8-10 years 1 ; however, this duration varies among individuals. Multiple factors have been found to contribute to the progression of HIV-1 infection, such as immunological, virological and host genetic factors [2][3][4][5][6] . In particular, the emergence of RNA sequencing technologies has provided a means for analysing the association between virological factors and HIV/AIDS progression.The HIV-1 subtype has been associated with HIV/AIDS progression and has attracted much interest among researchers [7][8][9][10][11] . Unfortunately, no consensus has been reached in studies exploring the association between subtype and disease progression. Studies conducted in Tanzania and Uganda have suggested that subtype D is correlated with faster rates of CD4+ T-cell decline and disease progression than those observed in other subtypes and recombinant forms of the virus 7,8 . However, a retrospective cohort study conducted during 1996 and 2007 revealed that Africans infected with B clade HIV-1 suffered from faster rates of HIV/AIDS progression compared with those infected with non-B clade subtypes 10 . Furthermore, a meta-analysis demonstrated that the trend of HIV/AIDS progression among different HIV-1 subtypes in a descending order was subtype C > D > AE > G > A 9 . Though numerous prophylactic measures against HIV have been effectively employed in China 12 , they have not been able t...

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Section: Introductionmentioning

confidence: 99%

HIV-1 CRF01_AE strain is associated with faster HIV/AIDS progression in Jiangsu Province, China

Chu

Zhang

et al. 2017

Sci Rep

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“…22 Three HIV-1 Env-pseudotyped viruses were produced in 293T cells by cotransfection with the expression plasmid encoding Env of HIV-1 strains SVPB16 (subtype B), SVPC12 (subtype C) or SH1.81 (CRF01_AE), and the HIV-1 backbone plasmid expressing the entire HIV-1 genome except for Env, pNL4-3Δenv. 23, 24, 25 The pseudoviral particles were collected, titrated and stored at −80 °C until use.…”

Section: Methodsmentioning

confidence: 99%

A novel preventive strategy against HIV-1 infection: combinatorial use of inhibitors targeting the nucleocapsid and fusion proteins

Zhu

Hassink

et al. 2017

Emerging Microbes & Infections

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The strategy of simultaneously attacking multiple targets is worthy of exploration in the field of microbicide development to combat HIV-1 sequence diversity and minimize the transmission of resistant variants. A combination of S-acyl-2-mercaptobenzamide thioester-10 (SAMT10), an inhibitor of the HIV-1 nucleocapsid protein (NCp7), and the fusion inhibitor sifuvirtide (SFT) may exert synergistic effects, since SFT can block viral fusion at an early stage of the viral cycle and SAMT10 can disrupt viral particles at a later stage. In this study, we investigated the effect of the combination of SAMT10 and SFT on HIV-1 infection using in vitro cell culture and ex vivo mucosal explant models. A range of doses for each compound was tested at 10-fold serial dilutions based on their 50% effective concentrations (EC50). We observed a synergistic effect of SAMT10 and SFT in vitro against both the laboratory-adapted HIV-1 strain HIV-1IIIB (subtype B, X4) and three pseudotyped viruses prevalent in Chinese sexually transmitted populations (SVPB16 (subtype B, R5), SVPC12 (subtype C, R5) and SH1.81 (CRF01_AE, R5)). In the ex vivo study, the EC50 values of the inhibitor combinations were reduced 1.5- to 2-fold in colorectal mucosal explants compared to treatment with SAMT10 or SFT alone by using with HIV-1IIIB. These results may provide a novel strategy for microbicide development against HIV-1 sexual transmission.

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“…By the end of 2018, the number of people living with HIV (PWH) in China was close to 1.25 million (1,2). The distribution of HIV-1 subtypes in China is diverse with over circulating genetic variants (3), each with an evolving geographical distribution, prevalence and modes of transmission (3)(4)(5)(6). The first nationwide molecular epidemiological survey in 1996-1998 showed that subtype B'/B (47.5%) and subtype C (34.3%) were the most predominant HIV types in China (7).…”

Section: Introductionmentioning

confidence: 99%

Comparative Circulation Dynamics of the Five Main HIV Types in China

Vrancken

Zhao

et al. 2020

J Virol

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The HIV epidemic in China accounts for 3% of the global HIV incidence. We compared the patterns and determinants of interprovincial spread of the five most prevalent circulating types. HIV pol sequences sampled across China were used to identify relevant transmission networks of the five most relevant HIV-1 types (B, CRF01_AE, CRF07_BC, CRF08_BC and CRF55_01B) in China. From these, the dispersal history across provinces was inferred. A generalized linear model (GLM) was used to test the association between migration rates among provinces and several measures of human mobility. A total of 10,707 sequences between 2004-2017 across 26 provinces were collected, among which 1,962 newly reported here. A mean of 18 (Min-Max:1-54) independent transmission networks involving up to 17 provinces were identified. Discrete phylogeographic analysis largely recapitulate the documented spread of the HIV types which, in turn, to large extent mirror within-China population migration flows. In line with the different spatio-temporal spread dynamics, the identified drivers thereof were also heterogeneous but are consistent with a central role of human mobility. The comparative analysis of the dispersal dynamics of the five main HIV types circulating in China suggests a key role of large populations centers and developed transportation infrastructures as hubs of HIV dispersal. This advocates for coordinated public health efforts in addition to local targeted interventions. IMPORTANCE While traditional epidemiological studies are of great interest in describing the dynamics of epidemics, they cannot fully capture the geospatial dynamics and factors driving the dispersal of pathogens such as HIV as they struggle to capture linkages between infections. To overcome this, we used a discrete phylogeographic approach coupled to a generalized linear model extension to characterize the dynamics and drivers of the across-province spread of the five main HIV types circulating in China. Our results indicate that large urbanized areas with dense population and developed transportation infrastructures are facilitators of HIV dispersal throughout China, and highlight the need to consider harmonized country-wide public policies to control local HIV epidemics.

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Prevalence of different HIV-1 subtypes in sexual transmission in China: a systematic review and meta-analysis

Cited by 42 publications

References 47 publications

HIV-1 CRF01_AE strain is associated with faster HIV/AIDS progression in Jiangsu Province, China

HIV-1 CRF01_AE strain is associated with faster HIV/AIDS progression in Jiangsu Province, China

A novel preventive strategy against HIV-1 infection: combinatorial use of inhibitors targeting the nucleocapsid and fusion proteins

Comparative Circulation Dynamics of the Five Main HIV Types in China

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