Literature DB >> 34515004

Evaluation of a Novel In-house HIV-1 Genotype Drug Resistance Assay using Clinical Samples in China.

Peijie Gao1, Fengting Yu2,3, Xiaozhen Yang1, Dan Li1, Yalun Shi1, Yan Wang2,3, Fujie Zhang2,3.   

Abstract

BACKGROUND: HIV drug resistance poses a major challenge for anti-retroviral treatment (ART) and the prevention and control of HIV epidemic.
OBJECTIVE: The study aims to establish a novel in-house assay with high efficiency, named AP inhouse method, that would be suitable for HIV-1 drug resistance detection in China.
METHODS: An in-house HIV-1 genotyping method was used to sequence the partial pol gene from 60 clinical plasma samples; the results of our test were compared with a commercial ViroSeq HIV-1 genotyping system.
RESULTS: Among sixty samples, 58(96.7%) were successfully amplified by AP in-house method, five of them harbored viral load below 1,000 copies/ml. The genotype distribution was 43.1% CRF07_ BC (25/58), 39.7% CRF01_AE (23/58), 6.9% CRF55_01B (4/58), 5.2% subtype B (3/58) and 5.2% CRF08_BC (3/58). Compared with that of the ViroSeq system, the consistent rate of these nucleotides and amino acids obtained by AP in-house method was up to 99.5 ± 0.4% and 99.5 ± 0.4%, respectively. A total of 290 HIV-1 drug resistance mutations were identified by two methods, including 126 nucleoside reverse transcriptase inhibitors (NRTIs), 145 non-nucleoside reverse transcriptase inhibitors (NNRTIs) and 19 protease inhibitors (PIs) resistance mutations. Out of them, 94.1% (273/290) were completely concordant between the AP in-house method and the ViroSeq system.
CONCLUSION: Overall, the evaluation of AP in-house method provided comparable results to those of the ViroSeq system on diversified HIV-1 subtypes in China. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  HIV-1; anti-retroviral treatment; drug resistance mutation; genotype; non-Nucleoside reverse transcriptase inhibitors.; nucleoside reverse transcriptase inhibitors; protease inhibitor

Mesh:

Substances:

Year:  2022        PMID: 34515004      PMCID: PMC9127726          DOI: 10.2174/1570162X19666210910144433

Source DB:  PubMed          Journal:  Curr HIV Res        ISSN: 1570-162X            Impact factor:   1.341


INTRODUCTION

Anti-retroviral treatment (ART) is one of the best treatments for HIV-infected individuals at present by suppressing virus replication and recovering CD4+ cell counts effectively [1-5]. Moreover, the implementation of ART might be able to dramatically reduce HIV/AIDS-related morbidity and mortality [1-5]. Since the National Free ART program in 2003, over 59% of patients who met the criteria of ART initiation received the free ART by 2015 in China [6-10], and the coverage was expanded to respond to the “90-90-90” target [11-15]. However, the wide use of ART will lead to the continuous selective pressure of drugs and high variability of HIV-1 [16-22], which results in the emergency of drug resistance mutation and its spread, and consequently increases the risk of ART failure [23-25]. HIV drug resistance is the major challenge for ART and the prevention and control of HIV epidemic [26-28]. As reported in a cross- sectional survey in China, the rate of patients with virological failure was 8.5% and the prevalence of HIV drug resistance mutations among patients receiving first-line ART was 4.3% [29]. Meanwhile, the prevalence of transmitted drug resistance was 3.6% shown in another nationwide cross-sectional survey in China [9]. Evidently, it is important to enhance the detection of HIV-1 drug resistance for guiding appropriate use of drugs and preventing the production of drug-resistant HIV strains [4, 30]. In addition to the development of drug resistance mutations, another consequence of the high variability of HIV is genetic diversity [31-33]. In Group M (HIV-1 pandemic globally), nine subtypes and 102 circulating recombinant forms (CRFs) have been identified so far (http://www. hiv.lanl.gov/content/sequence/HIV/CRFs/CRFs.html). Moreover, the distributions of HIV-1 genotypes worldwide were geographically different and dynamically changing [34-38]. The high variability of HIV brings a particular technological challenge to the local detection of drug-resistant mutations with the commercial kits, [39] such as ViroSeq system, most of which were designed and optimized for subtype B virus [31, 40]. In China, however, the predominant circulating strains were CRF07_BC, CRF01_AE, CRF08_BC, subtype B’, as well as special CRFs [40-45]. Not only that, the clinical application of commercial tests has been limited owing to the tedious manual operation and expensive cost. It is necessary to develop a cost-effective method that is readily adaptable for HIV-1 genotype resistance assay in China. Here, we designed the AP in-house method, a novel HIV-1 genotype drug resistance assayby optimizing the operation of viral RNA extraction and RT-PCR to minimize the error caused by manual operations and experimental procedures. The clinical performance characteristics of this HIV-1 drug resistance detection were also evaluated by comparing it with ViroSeq system.

MATERIALS AND METHODS

Clinical Specimens

Sixty stored plasma samples were obtained from patients failing ART (2016-2018) in the anti-HIV treatment program of the 13th Five-Year Plan in China. All these samples had been previously tested for HIV-1 drug resistance using the ViroSeq System and aliquots were stored at −80°C. The study was also approved by the Institutional Research Ethics Community of Beijing Ditan Hospital, Capital Medical University with reference No.2019(037)-002,and all participants provided written informed consent.

Viral Load Detection

The HIV-1 viral loads in these patients’ plasma were re-tested with m2000sp Liquid Handler & m 2000 rt Real Time PCR System (Abbott) following the manufacturer’s protocol, which could be used to evaluate amplification sensitivity for AP in-house method [46, 47].

HIV-1 Drug Resistance Genotyping by ViroSeq System

HIV-1 genotyping was performed with ViroSeq HIV-1 Genotyping System (Abbott molecular) [48, 49]. The analysis procedure followed was according to the manufacturer's instructions. In this system, HIV-1 RNA is extracted manually from 0.5 mL of plasma, followed by reverse transcription with MuLV reverse transcriptase. After the UNG enzyme destroys any species of DNA containing deoxyuridine and a single 40 cycles PCR with AmpliTaq Gold DNA Polymerase, the PCR yields a 1.8 kb DNA product. PCR products are then purified with PCR Cleanup Kit and sequenced by ABI 3130xl Genetic Analyzer according to product instruction for user issued by the manufacturer. The resulting sequences are assembled and analyzed using ViroSeq Genotyping System Software.

RNA Extraction and Amplification of HIV-1 Partial Pol Gene in AP In-House Method

Viral RNA for AP in-house method was extracted from 200 μL plasma using TGuideS32 automated nucleic acid extraction system (TIANGEN BIOTECH (Beijing) CO., LTD) according to the manufacturer’s instructions. The process of RT-PCR of RNA and PCR was simplified into one tube using PrimeScript™ One StepOne RT-PCR kit, Ver.2(TAKARA, Cat. RR055A), following the manufacturer’s protocol. The primers for RT-PCR were Brf-F1 (forward, 5’-TCA CTC TTT GGC AAC GAC CC-3’) and Brf-R2 (reverse, 5’-GGA GTC TTT CCC CAT ATT ACT ATG CTT TC-3’[GAAAGCATAGTAATATGGGGAAAGACTCC]). Reverse transcription was performed at 50°C 40 min with primer Brf-R2, and the amplification started with an initial denaturation at 94°C for 3 min. 50 cycles of PCR were performed with PCR conditions of 94°C for 20 s, 59°C for 30 s, and 72°C for 1 min following an extension to 72°C for 10 min. The amplification products were identified with 1% agarose gel electrophoresis. For the positive products, DNA sequencing was performed on a 3730XL DNA genetic analyzer (Applied Biosystem, CA, USA), according to manufacturer’s instructions.

Drug Resistance Mutation and Phylogenetic Analyses in AP In-house Method

The obtained sequences were assembled, aligned and edited by Sequencher 5.0 software with a sequencing electrogram height over 30% of the wild-type bases as mutations. The valid pol sequences were then submitted to the Stanford University HIV Drug Resistance Database (HIVdb version 8.9-1, http://hivdb.stanford.edu) for genotypic resistance interpretation. The HIV-1 subtypes of partial pol sequences were identified by submitting to the REGA HIV-1 Subtyping Tool Version 3.0 and then confirmed using phylogenetic trees, which was conducted by the neighbor-joining method with 1,000 bootstrap replicates in MEGA 5.0 software. The bootstrap values up to 70% were considered significant.

Sequence Analysis

The evaluation of AP in-house method was done by comparing it with ViroSeq system, which was considered as the gold standard. To assess its accuracy, the concordance rate of nucleotide or amino acid sequences generated was analyzed between the ViroSeq system and AP in-house method. Simply, the proportion (%) of partial discordance and discordance in all obtained nucleotide or amino acid sequences for each sample were calculated. Drug resistance-associated mutations in protease and reverse transcriptase identified by two methods were compared to evaluate the feasibility and effectiveness of AP in-house method. The partial and complete discordance mutations among all identified HIV-1 drug resistance mutations were calculated as above. Then, the distinctions between AP in- house method and ViroSeq system in partial or complete discordance mutations were characterized.

RESULTS

Confirmation of HIV-1 Infection and Viral Load Measurement

Sixty clinical specimens were collected from HIV-infected patients with antiviral treatment failure. To confirm HIV status of these specimen, their viral load was retested (Table ). The median viral loads were 73,918 copies/ml (range from 211 to 3,073, 020 copies/ml). HIV-1 subtypes of 59 samples were identified with sequences obtained from the ViroSeq system by Phylogenetic analyses (Table ). The HIV-1 subtype included 26 CRF07_BC, 23 CRF01_AE, 4 CRF55_01B, 3 subtype B’ and 3 CRF08_BC, as shown in Table .
Table 1

The amplification efficiency of AP In- house method compared to ViroSeq System.

Sample NumberViral Load (copies/ml)HIV-1 Subtype or CRFIn-house MethodViroSeq System
-<1,000---
A059211CRF07_BC-+
A007225CRF01_AE++
A060283CRF07_BC++
A040430CRF01_AE++
A009748CRF07_BC++
A034796CRF07_BC++
->1,000-10,000--
A0201,289CRF01_AE++
A0141,753CRF01_AE++
A0532,016CRF01_AE++
A0573,131CRF08_BC++
A0153,729CRF07_BC++
A0584,931CRF01_AE++
A0106,081CRF07_BC++
A0506,800---
A0516,800CRF07_BC++
A0437,499CRF07_BC++
A0337,765CRF08_BC++
A0398,930CRF07_BC++
A0089,056CRF01_AE++
->10,000-100,000--
A03810,634CRF01_AE++
A02513,392CRF07_BC++
A01913,965CRF07_BC++
A04224,253CRF01_AE++
A00529,700CRF55_01B++
A04831,850CRF07_BC++
A01341,826B++
A00150,518CRF08_BC++
A01156,880B++
A04464,502CRF01_AE++
A01773,659CRF55_01B++
A05574,176CRF01_AE++
A05283,851CRF01_AE++
A00289,575CRF01_AE++
A02492,114CRF01_AE++
A03092,114CRF07_BC++
->100,00-1,000,000--
A012110,464CRF07_BC++
A046124,395CRF07_BC++
A035141,066CRF01_AE++
A037154,478B++
A023181,408CRF01_AE++
A031182,680CRF07_BC++
A056186,550CRF01_AE++
A036190,501CRF07_BC++
A016226,859CRF01_AE++
A027268,275CRF01_AE++
A045319,476CRF07_BC++
A021323,972CRF07_BC++
A003337,842CRF01_AE++
A006362,290CRF07_BC++
A022383,117CRF01_AE++
A047482,464CRF07_BC++
A028485,847CRF07_BC++
A054517,378CRF55_01B++
A049616,122CRF07_BC++
A029738,856CRF07_BC++
A041770,488CRF01_AE++
A004855,620CRF07_BC++
A026886,039CRF07_BC++
->1,000,000---
A0321,123,622CRF01_AE++
A0183,073,020CRF55_01B++

- negative; + positive.

Determination of the Sensitivity and Specificity of AP In-house Method

First, we evaluated the sensitivity of AP in-house method with 60 clinical specimens from patients failing ART in China, of which 58 (96.7%) were amplified and sequenced successfully, shown in Table . Of the two specimens that failed in amplification, one had a viral load of 6,800 copies/ml and the other one had a viral load of 211 copies/ml. The former could not be amplified with ViroSeq System, even at viral loads above 1,000 RNA copies/mL. The inability to be amplified could likely be attributed to the compromised quality of this specimen. The remaining specimens could be successfully amplified by using ViroSeq System. Nonetheless, it is worth noting that the AP in-house method was able to amplify 5 of 6 specimens with a viral load below 1,000 copies/ml (Table ). The amplification sensitivity of AP in-house method reached a viral load of 1000 copies/ml, consistent with the ViroSeq System. Next, the specificity of AP in-house to amplify different HIV-1 subtypes or CRF was evaluated on 58 clinical specimens. Phylogenetic analyses revealed that the subtype distribution among these obtained sequences was CRF07_BC (25/58), CRF01_AE (23/58), CRF55_01B (4/58), subtype B (3/58) and CRF08_BC (3/58), as shown in (Table and Fig. ).
Fig. (1)

Phylogenetic tree analyses of partial pol gene of HIV-1 obtained by AP in-house method and ViroSeq system. It was constructed with MEGA 5.0 using the neighbor-joining method with the Kimura two-parameter model and 1,000 bootstrap replication tests. The scale bars were shown as 0.05. Bootstrap values (>70) were shown at the corresponding nodes. Solid circle (●): sequences obtained by AP in- house method; Hollow circle(): sequences obtained by ViroSeq system. (A higher resolution / colour version of this figure is available in the electronic copy of the article).

Comparison of Nucleotide Sequences and Amino Acid Sequences Obtained from the AP In-house Method with that from the ViroSeq System

A total of 58 samples were amplified and sequenced successfully by both AP in-house method and ViroSeq system. Phylogenetic analysis showed that sequences from each sample obtained by two methods clustered monophyletically together (Fig. ). The comparison of nucleotide sequences and amino acid sequences obtained by ViroSeq System and AP in-house method showed 99.5 ± 0.4% and 99.5 ± 0.4% (mean ± SD) nucleotide and amino acid identity, respectively. Among 74,635 nucleotides obtained from 58 samples, 394 nucleotide differences were observed between the two methods which were in 80% of the instances caused by the difference in the detection of nucleotide mixtures (315/394). The other discordances (79/394) resulted from the different nucleotides detected. A total of 24,847 amino acids were identified from 58 samples by two methods. The amino acid discordances were observed at 133 positions (18 at drug resistance positions and others at non-drug resistance positions), and 110 amino acids were partial amino acid discordance.

Comparison of Drug Resistance Mutations Identified by AP In-house Method with that by the ViroSeq System

There were a total of 290 HIV-1 drug resistance mutations in protease and reverse transcriptase identified by ViroSeq system and AP in-house method, including 126 nucleoside reverse transcriptase inhibitors (NRTIs), 145 non-nucleoside reverse transcriptase inhibitors (NNRTIs) and 19 protease inhibitors (PIs) resistance mutations, respectively (Table ). Among them, partial discordance mutations were observed at 16 positions, and one complete discordance mutation was observed in RT region (Table ). Out of 16 partial discordance mutations, mixture bases in 12 positions were only identified by the ViroSeq system, and three cases by AP in-house method. The other one at position 101 in RT region was identified with different mixture bases by two methods. Moreover, there was one NNRTI resistance mutation (V179D) that was only observed by AP in-house method but not by the ViroSeq system.
Table 2

Comparison of drug resistance mutations detected by AP in-house method and ViroSeq system.

Region-Analyzed CordonsConcordantPartial DiscordantDiscordance
protease
-PIs1919(100%)00
reverse transcriptase
-NRTIs126120(95.2%)6(4.8%)0
-NNRTIs145134(92.4%)10(6.9%)1(0.7%)

ViroSeq was used as the reference standard.

PIs: Protease Inhibitors.

NRTIs: Nucleoside Reverse Transcriptase Inhibitors;

NNRTIs: Non-Nucleoside Reverse Transcriptase Inhibitors.

Table 3

Detail of drug resistance mutations among partially discordant and discordant amino acid positions.

CategoryPositionViroSeq SystemIn-house Method
--BaseaAmino acidBaseaAmino acid
Partially discordant mutations
NRTIs Resistance67RACDNAACN
-74WTALITTAL
-184ATGMRTGMV
-184RTRMIVATAI
-219AAMKNAACN
-219AAAKRAAKE
NNRTIs Resistance101MAAKQSAAEQ
-103AGARARAKR
-179GMAAEGMWADE
-179GWTVDGATD
-181TRTYCTGTC
-221YATHYTATY
-227YTTFLCTTL
-227YTTFLTTTF
-227YTKFLTTGL
-230HTGMLATGM
Discordant mutations
NNRTIs Resistance179GTCVGACD

a IUPAC codes for sequence wildcard letters.

Comparison of the Testing Period between AP In- house Method and ViroSeq System

Automation nucleic acid extraction machine was used in our AP in-house method, substituting manual sample preparation in the ViroSeq system, which significantly reduced working time. As shown in Table , testing for 32 samplestook only 4.5 h for AP in-house method to obtain the PCR products, while ViroSeq system took 10h.
Table 4

Comparison turn around time (TAT) of AP in-house and ViroSeq system for 32 samples.

ItemAP In-house MethodViroSeq System
Sample Preparation0.5 h3 h
Reverse Transcription & PCR4 h7 h
Cycle Sequencing5 h5 h
Sequencing using 3130XL14-15 h14-15 h
Data analysis1 h1-2 h

h: hour.

DISCUSSION

In this study, a cost-effective HIV drug resistance mutation method was designed and optimized as AP in-house method. Compared with other reported in-house methods [50], the extraction of nucleic acid in AP in-house method was improved with instruments rejecting the approach chosen by hand. Moreover, two-step PCR was simplified into one-step, reducing the possibility of cross-contamination and increasing the detection efficiency. It was shown that 32 samples could be extracted and amplified within 4.5 hours by AP in-house method; however, it took 8 hours for the extraction and amplification of 12 samples by commercial kit and 7 hours for 24 samples by the traditional in-house method. It was reported that HIV-1 circulating subtype in China was identified, including CRF01_AE, subtype B, CRF07_BC, and CRF08_BC, [43, 51-58] as well as the novel HIV-1 CRFs [38, 59-64] (CRF55_01B [65], CRF59_01B [66], etc). So, the ability to detect mutations on diversified HIV-1 subtypes is necessary for HIV-1 drug resistance assays. Of the 58 samples detected by both methods, there were circulating subtypes in China, which suggested that the specificity of AP in-house method was similar to that of ViroSeq system and AP in-house method could be used for the testing of drug-resistant strains in China. And also, the lowest limit of amplification sensitivity of AP in-house method reached at the viral load of 225 copies/ml, higher than the 1000 copies/ml established by the ViroSeq system and traditional in-house method. All these indicated that this AP in- house method could be applied to HIV-1 drug resistance detection in China. There is an advantage in the ViroSeq system [50], in which software is designed specifically for the analysis of drug resistance to PIs and RTIs. While for AP in-house method, the Stanford HIV Drug Resistance Database (HIVDB) was used to analyze drug resistance mutations. Although some of the nucleotide sequences obtained by the two methods were the same, the identified mutations might be a bit different depending on the particular database. For instance, H221Y [67], V106I [68] and K70T [69] were only known as drug resistance mutations in HIVDB; however, L10I, K43T, A71T, A71V, T69N, K101Q and K103R were only identified in ViroSeq system v2.8. Therefore, multiple and updating databases should be used for the most comprehensive testing. Different from the entire PR designed in the ViroSeq system, the AP in-house method was designed to detect drug resistance mutations (DRM) in part of PR (codons 4 to 99) according to HIV-1 subtype B in plasma samples. However, the major and minor drug resistance mutations in PR could be successfully detected by using this AP in-house method because the first common polymorphic/ non-polymorphic accessory PI-selected mutation was first present at position tenth in PR in the Stanford University HIV drug resistance database. Moreover, more than 51 amino acids (codons 336 to 386) in the first part of the RT gene were sequenced using AP in-house method compared to that obtained by using ViroSeq system, which could be used to detect more drug-resistant mutations in RT region. N348I [70-75], the additional miscellaneous mutation in the connection domain of the HIV-1 RT region, was detected in two plasma samples (A009 and A024) by using our AP in-house method in this study. Given the Stanford University HIV drug resistance database, N348I could reduce NRTIs Zidovudine susceptibility about 3-fold and NNRTIs Nevirapine and Efavirenz susceptibility by 3-fold and 2-fold, respectively [76]. Furthermore, N348I could enhance the resistance to Etravirine and Rilpivirine [70]. As a result, more positions of drug resistance mutations could be detected by AP in-house method than that in the ViroSeq system, which made it more extensive applications in HIV-1 drug resistance detection.

CONCLUSION

We designed and evaluated an efficient in-house method for the identification of HIV-1 drug resistance mutations. The sensitivity and specificity of AP in-house method were comparable to the ViroSeq system and other assays published previously [50]. In addition, AP in-house method had the advantage of identifying novel drug resistance mutations located beyond the detectable regions of the ViroSeq system. The validated AP in-house method could serve as a powerful tool to effectively test patients failing ART and monitor the emergence and transmission of HIV-1 drug resistance in China.
  76 in total

1.  N348I in HIV-1 reverse transcriptase can counteract the nevirapine-mediated bias toward RNase H cleavage during plus-strand initiation.

Authors:  Mia J Biondi; Greg L Beilhartz; Suzanne McCormick; Matthias Götte
Journal:  J Biol Chem       Date:  2010-06-08       Impact factor: 5.157

2.  Recommendations for surveillance of transmitted HIV drug resistance in countries scaling up antiretroviral treatment.

Authors:  Diane E Bennett; Mark Myatt; Silvia Bertagnolio; Donald Sutherland; Charles F Gilks
Journal:  Antivir Ther       Date:  2008

3.  [Transition and evolution of HIV-1 subtype among HIV-1 infections in Wuxi city, 2013-2016].

Authors:  Y Q Yin; J S Chen; H Cheng; X Zhang; N N Wu; L S Chen; B Wang
Journal:  Zhonghua Liu Xing Bing Xue Za Zhi       Date:  2020-02-10

4.  Multiple introductions and onward transmission of HIV-1 subtype B strains in Shanghai, China.

Authors:  Xiaoshan Li; Kexin Zhu; Yile Xue; Feiran Wei; Rong Gao; Ralf Duerr; Kun Fang; Wei Li; Yue Song; Guoping Du; Wenjuan Yan; Taha Hussein Musa; You Ge; Yu Ji; Ping Zhong; Pingmin Wei
Journal:  J Infect       Date:  2017-05-24       Impact factor: 6.072

5.  Identification of a Novel HIV-1 Circulating Recombinant Form (CRF85_BC) in Sichuan, China.

Authors:  Ling Su; Dongbin Wei; Hong Yang; Yali Zeng; Ying Hu; Dan Yuan; Liao Feng; Yuhua Ruan; Guangmin Qin; Shu Liang
Journal:  AIDS Res Hum Retroviruses       Date:  2016-06-13       Impact factor: 2.205

6.  Transmitted drug resistance and antiretroviral treatment outcomes in non-subtype B HIV-1-infected patients in South East Asia.

Authors:  Praphan Phanuphak; Sunee Sirivichayakul; Awachana Jiamsakul; Somnuek Sungkanuparph; Nagalingeswaran Kumarasamy; Man Po Lee; Thira Sirisanthana; Pacharee Kantipong; Christopher Lee; Adeeba Kamarulzaman; Mahiran Mustafa; Rossana Ditangco; Tuti Merati; Winai Ratanasuwan; Thida Singtoroj; Rami Kantor
Journal:  J Acquir Immune Defic Syndr       Date:  2014-05-01       Impact factor: 3.731

7.  Multiple HIV-1 Genotypes Circulating Among College Students in Nanjing, China.

Authors:  Wei Li; Zhengping Zhu; JinJin Chu; You Ge; Yuanyuan Xu; Sushu Wu; Yan He; Qian Ni; Yangyang Liu; Rui Li; Xiaoshan Li; Pingmin Wei
Journal:  AIDS Res Hum Retroviruses       Date:  2020-05-18       Impact factor: 2.205

Review 8.  HAART in HIV/AIDS Treatments: Future Trends.

Authors:  Da-Yong Lu; Hong-Ying Wu; Nagendra Sastry Yarla; Bin Xu; Jian Ding; Ting-Ren Lu
Journal:  Infect Disord Drug Targets       Date:  2018

9.  N348I in the connection domain of HIV-1 reverse transcriptase confers zidovudine and nevirapine resistance.

Authors:  Soo-Huey Yap; Chih-Wei Sheen; Jonathan Fahey; Mark Zanin; David Tyssen; Viviane Dias Lima; Brian Wynhoven; Michael Kuiper; Nicolas Sluis-Cremer; P Richard Harrigan; Gilda Tachedjian
Journal:  PLoS Med       Date:  2007-12       Impact factor: 11.069

10.  A Large-scale Survey of CRF55_01B from Men-Who-Have-Sex-with-Men in China: implying the Evolutionary History and Public Health Impact.

Authors:  Xiaoxu Han; Yutaka Takebe; Weiqing Zhang; Minghui An; Bin Zhao; Qinghai Hu; Junjie Xu; Hao Wu; Jianjun Wu; Lin Lu; Xi Chen; Shu Liang; Zhe Wang; Hongjing Yan; Jihua Fu; Weiping Cai; Minghua Zhuang; Christina Liao; Hong Shang
Journal:  Sci Rep       Date:  2015-12-15       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.