alexa Application of Ambiguous Analysis for Determining Recent Infections of HIV-1 in a China Men Who Had Sex with Men Population | OMICS International
ISSN 2155-6113

Journal of AIDS & Clinical Research
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Application of Ambiguous Analysis for Determining Recent Infections of HIV-1 in a China Men Who Had Sex with Men Population

Xiaoyan Bai1#, Hongwei Zhang2#, Wei Shao3, Lan Li2, Zheng Zeng1* and Hao Wu2*

1Laboratory of Virology, Department of Infectious Diseases, Peking University First Hospital, Beijing 100034, P.R. China

2Beijing Youan Hospital, Capital Medical University, Beijing 100069, China

3HIV Drug Resistance Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, USA

#Both authors contributed equally to this work

*Corresponding Author:
Zheng Zeng
Laboratory of Virology
Department of Infectious Diseases
Peking University First Hospital
Beijing 100034, P.R. China
E-mail: [email protected]

Hao Wu
Beijing Youan Hospital
Capital Medical University
Beijing 100069, China
E-mail: [email protected]

Received Date: December 29, 2013; Accepted Date: January 28, 2014; Published Date: February 03, 2014

Citation: Bai X, Zhang H, Shao W, Li L, Zeng Z, et al. (2014) Application of Ambiguous Analysis for Determining Recent Infections of HIV-1 in a China Men Who Had Sex with Men Population. J AIDS Clin Res 5:279. doi:10.4172/2155-6113.1000279

Copyright: © 2014 Bai X, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Objective: To distinguish HIV-1 recent infection (≤ 300 days) from long-term HIV-1 infection (>300 days) in China men who had sex with men (MSM) population. We analyzed the change over time in the proportion of ambiguous nucleotides in patient plasma sequences. We hypothesized that this method could be used to determine recent infections.

Methods: HIV-1 sequences and clinical data of MSM were collected from June 2007 to September 2010. All the sequences were obtained by single genome amplification and sequencing. HIV-ambi-count was used to calculate the proportion of ambiguous nucleotides, and the optimal cut-off values to identify recent infection were established using receiver operator characteristic analysis (ROC).

Results: A total of 188 sequences from 150 patients were collected (38 patients were sampled twice at different time points), consisting of 118 sequences of subtype CRF01_AE and 70 sequences of subtype B. The optimal cut-off values for determination of early HIV-1 infection in subtypes CRF01_AE and B were 0.31% and 0.347%, respectively. The sensitivity, specificity, positive and negative predictive values were 76.5%, 55%, 89.3% and 32.4% for subtype CRF01-AE (P=0.005), 80.6%, 62.5%, 94.3% and 29.4% for subtype B (P=0.017), respectively. The area under the ROC curve (AUCROC) was 0.652 (95% CI, 0.520-0.783, P=0.03) and 0.75 (95% CI, 0.622-0.878, P=0.022) for subtype CRF01-AE and B, respectively.

Conclusions: The proportion of ambiguous nucleotides may be a good marker to distinguish recent infection from long-term HIV-1 infection with high positive predictive value in the China MSM population.

Keywords

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version