Background
Antiretroviral therapy (ART) has greatly contributed to reducing HIV-1 viral load, prolonging patients’ lives, lowered the AIDS morbidity and mortality, and also prevented HIV-1 transmission [
1‐
3]. However, HIV-1 drug resistance occured in a substantial proportion of treated patients and accumulated over time with the long-term use of ART [
4]. Drug resistance has become the magnificent challenge for current antiretroviral therapy, especially in developing countries.
In the wake of implementation of ART, resistant strains carrying drug-resistant mutations have been increasingly prevalent [
5]. The new infected individuals have greater chance to be infected directly by existing drug resistant strains instead of the natural generation of strains during the antiretroviral therapy procedure. The transmitted drug resistance (TDR), also known as acquired drug resistance, makes strains get more advantages in circuiting due to its insensitive response to various antiviral drugs. Hence, TDR has been a major difficulty and an intensive focus in AIDS treatment and HIV surveillance.
Yunnan province has been worst hit by HIV-1 in China [
6]. The multi-channel introduction from neighboring southeast Asian countries, coexistence of multiple subtypes and continuous occurrence of new recombinants all lead to the most complex genetic characteristics of HIV-1 in Yunnan. As the pioneering ART implemented region, with a long history of ART use, Dehong Prefecture, undoubtedly, had a larger proportion of resistant strains among all epidemic ones in Yunnan. It has been well documented that the cross-border travelers were proved to be a key factor of the high infection rate and complex distribution of HIV in Yunnan [
7,
8]. HIV-1 cross-border transmission and exchanges of various circulating subtypes were considered to be accelerated by this floating population. Moreover, migrations of travelers carrying resistant HIV-1 strains also bring great challenges to TDR surveillance work and AIDS treatment.
Located in the most southwestern Yunnan Province, Dehong prefecture has a shared border line of 503.8 km with Myanmar and is considered as the first station of illegal drug traffic from golden triangle region into China. Due to the special geographic location, the first endemic of HIV-1 in China was identified in Dehong, with the most HIV-1 prevalence and the complex distribution of HIV-1 subtypes or recombinants [
9‐
11]. With the implementation of reform and opening-up policy in China, the cross-border travel and business became more frequent. More than 23 million travelers entered Yunnan province from Myanmar via Dehong port in 2017 (
http://www.dh.gov.cn/swj/Web/_F0_0_28D00Q763C39JUSFW2UDF75NI6.htm).
Besides the continuous cross-border transmission of HIV-1 between China and Myanmar through travelers’ immigration, the prevalence of TDR HIV-1 strains among this huge cross-border population should be investigated too. Although it is obvious that HIV-1 infection rate of this population is much higher than other general groups based on our previous reports [
8], the frequency of occurrence and types of transmitted drug resistance mutations (TDRMs) are still unidentified in this population. In current study, the plasma samples were collected randomly from entering travelers at Dehong port between 2003 and 2012. HIV-1 infection was determined and TDR mutations were further analyzed by sequencing on entire
pol gene of HIV-1. The occurrence, types and molecular characteristics of these TDR strains will be further explored.
Methods
Participants
From 2003 to 2012, one of every five-hundred Myanmar travelers entering China at land ports of Dehong prefecture, Yunnan, was randomly sampled for HIV-1 test. The processes and methods of HIV-1 detection and laboratory confirmation have been described in our previous reports [
8]. Totally, 22,699 travelers were required for HIV test, and 1163 were identified as HIV-1 infectors. Among them, 298 travelers who never received any antivirus therapy before (ART-naïve), were selected in this study. Those cases fall intoeach year irregularly, ranging from 27 (year 2011) to 56 (year 2008). The collected plasma samples were stored at − 80 °C until RNA extraction. Data of the social-demographic characteristics and risk behaviors for HIV infection were obtained from the enrolled participants via face-to-face interviews with trained medical personnel by administering a structured questionnaire.
HIV-1 pol gene amplification and sequencing
HIV-1 RNA was extracted from plasma using the High Pure Viral RNA kit (Qiagen, Valencia, CA, USA). The partial HIV-1 pol gene fragment (HXB2:2147–3462) was amplified using the One-Step reverse transcription PCR kits (TaKaRa, Dalian, China) with primers of MAW26 (5′-TTGGAAATGTGGAAAGGAAGGAC-3′) and RT21 (5′-CTGTATTTCTGCTATTAAGTCTTTTGATGGG-3′). RT-PCR procedure was as follows: HIV-1 RNA denaturation at 65 °C for 30 s, addition of the reaction mixtures at 4 °C, incubation at 50 °C for 30 min, 94 °C for 2 min, then 35 cycles of 94 °C for 30 s, 55 °C for 30 s, and 72 °C for 2 min 30 s. Nested PCR was performed using 2× Taq PCR MasterMix (TaKaRa) with primers PRO-1 (5′-CAGAGCCAACAGCCCCACCA-3′) and RT20 (5′-CTGCCAGTTCTAGCTCTGCTTC-3′). PCR conditions were: 94 °C for 5 min, then 35 cycles of 94 °C for 30 s, 63 °C for 30 s, and then 72 °C for 2 min 30 s. Positive PCR products were visualized in agarose gel electrophoresis, and commercially sequenced by Biomed company (Beijing, China).
Genotyping and drug-resistance mutations (DRMs) analysis
The obtained sequence of
pol gene was assembled, edited and aligned as previously described [
12,
13], and then submitted to NCBI GenBank to get accession numbers as MG787428-MG787459. The Stanford University HIV Drug Resistance Database HIVdb Program (version 8.4,
https://hivdb.stanford.edu/hivdb) was used to investigate the presence of drug resistance mutations conferring resistance to Protease Inhibitors (PIs), Nucleoside Reverse Transcriptase Inhibitors (NRTIs), and Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) [
14,
15]. Genotypes were determined in reconstructed maximum likelihood (M-L) tree using MEGA 7.0 software in the Kimura 2 parameter model with gamma distribution and invariant sites.
Phylogenetic and recombination analyses of HIV drug resistant strains
To elucidate phylogenetic characteristics of these drug resistant strains,
gag-pol gene sequences were obtained by using reverse transcription nested PCR as described before [
12]. Phylogenetic analyses were performed using the M-L (Maximum likelihood) tree method based on the Kimura 2-parameter model with 1000 bootstrap replicates in MEGA version 7.0 [
16]. The HIV-1 recombinant structure was screened using the Recombinant Identification Program available from the HIV database (
www.hiv.lanl.gov/content/sequence/RIP/RIP.html). The suspected novel recombinant strains were subjected to boot scanning and informative-site analysis using SimPlot version 3.5.1 with boot-scan window sizes of 200 bases, a step size of 20 bases and 100 replicates [
17].
Discussion
Yunnan Province has been the key midpoint of traffic and business between south Asian countries and China. Dehong has been an important port in the business with Myanmar. The numerous cross-border population not only boosted rapid economic development but worked as carriers for HIV transmission. Thus, they were considered a ‘bridge population’ who may accelerate the exchange of virus genes between Yunnan and Myanmar. In our previous research, we have confirmed that HIV infection ratio (5.12%) of entering travelers at Dehong port is higher than any other ports in Yunnan [
8]. This population, shaped by the specific characteristics of migration and HIV-1 infection susceptibility, has become a critical medium in the spreading of drug resistant strains. Therefore, it is of great necessity to investigate the prevalence of HIV infection and drug resistance strains among travelers from Myanmar.
In our previous study, a total of 1163 HIV infected Burmese travelers entering Yunnan at Dehong port have been detected. To address the prevalence of drug-resistance mutations among this bridge population, 298 travelers who never received any anti-virus therapy before, were randomly selected for this study. The young long-distance drivers and businessmen dominated in this population. Although the infection route of 173 cases is still unidentified, face-to-face interviewing has guaranteed the authenticity of obtained epidemiologic information and privacy of participants. Among the informed infection route, drug injection is still the main risk behavior due to the common syringe sharing. Phylogenetically, more than 6 subtypes/CRFs have been discovered, including the main CRF01_AE (142 cases, 56.8%), following by subtype C, subtype B. The HIV-1 subtype distribution is similar to that of Yunnan Province in previous reports [
18,
19].
With the implementation of active ART, the occurrence of drug resistant mutation becomes more frequent, which results in more resistant strains transmitting among new HIV-1 infectors and therapy-naïve infectors [
20]. A global study on TDR frequency shows the highest (12.9%) TDR rate is in North America and the lowest (4.2%) in Asia [
21]. It has been documented that the prevalence of drug-resistance was 45.1% in the ART-failure individuals and 2.1% in the controlled therapy-naïve individuals in Yunnan province [
22]. However, the prevalence of drug-resistance is still controversial in the controlled therapy-naïve individuals due to small recruited participants (2/94). In current study, the TDR rate is 12.8% among the therapy-naïve Burmese travelers entering Dehong port in Yunnan Province, which is far higher than the earlier reported level. The high prevalence of TDR mutation was also discovered in other regions of China, like Henan Province (14.3%) [
23] and Beijing (11.96%) [
24]. More than two decades of ART treatment in these areas could explain the higher TDR prevalence in Yunnan, Beijing and Henan, etc. However, the prevalence of TDR among the bridge population is obviously higher than any other groups in Yunnan, even compared with homosexual group in Kunming (4.6%) [
25], and general population in Dehong (< 5%) [
26].
One type of PI mutations (L33F), six types of NRTI mutations and seven types of NNRTI mutations have been identified in this population. The major TDRMs observed in this study have been reported in a previous study of HIV Drug Resistance among ART-failure individuals in Yunnan Province, which figured out mutations such as M184 V/I, K103 N, V106A, Y181C and G190A were common [
22]. Notably, the similar prevalence of TDRMs has also been found among therapy-naïve HIV patients in neighboring countries Vietnam [
20] and Thailand [
27]. It suggested a close correlation between the TDRMs from this population and the drug resistant mutants generated during the course of ART. Furthermore, M184 V is the most frequently detected NRTI resistance mutation, which was also found in previous studies [
28,
29]. L33F and V179D/T are the types of mutation that confer potential low-level resistance. Even considering the previous report of occurrence in Hebei and Beijing, the mutation rate of V179D/T up to 6.92% is still an astonishing level [
30,
31]. Despite of the previous report stating the possible relationship between TDRMs and HIV-1 subtype [
32], there is little evidence shown in this study supporting this statement, possibly due to the relatively smaller sampled group in the investigation. However, DRMs analysis was not carried out on the mutations of integrase inhibitors in this study, which were also significant class of resistant mutations.
Phylogenetic analysis on gag-pol gene of all resistant strains has also been performed to identify their possible origins in this study. The results demonstrate that the Dehong epidemic strains share a very close genetic relationship with the strains from Yunnan, neighboring provinces (Guangxi) and countries (Thailand, Myanmar, etc). The high prevalence of TDR strains in these regions is reasonable considering the long and earliest history of ART implementation. The floating population, whose inherent mobility determines the multi-regional sources of the epidemic resistant strains, is considered as the highly possible TDR strains carrier in further spreading to broader range. Thus, it is critical and fundamental to monitor their drug-resistance proceeding to prevent them from further transmission of drug resistant strains.