Literature DB >> 23143525

Precise determination of time to reach viral load set point after acute HIV-1 infection.

Xiaojie Huang1, Hui Chen, Wei Li, Haiying Li, Xia Jin, Alan S Perelson, Zoe Fox, Tong Zhang, Xiaoning Xu, Hao Wu.   

Abstract

OBJECTIVE: The HIV viral load set point has long been used as a prognostic marker of disease progression and more recently as an end-point parameter in HIV vaccine clinical trials. The definition of set point, however, is variable. Moreover, the earliest time at which the set point is reached after the onset of infection has never been clearly defined.
METHODS: In this study, we obtained sequential plasma viral load data from 60 acutely HIV-infected Chinese patients among a cohort of men who have sex with men, mathematically determined viral load set point levels, and estimated time to attain set point after infection. We also compared the results derived from our models and that obtained from an empirical method.
RESULTS: With novel uncomplicated mathematic model, we discovered that set points may vary from 21 to 119 days dependent on the patients' initial viral load trajectory. The viral load set points were 4.28 ± 0.86 and 4.25 ± 0.87 log10 copies per milliliter (P = 0.08), respectively, as determined by our model and an empirical method, suggesting an excellent agreement between the old and new methods.
CONCLUSIONS: We provide a novel method to estimate viral load set point at the very early stage of HIV infection. Application of this model can accurately and reliably determine the set point, thus providing a new tool for physicians to better monitor early intervention strategies in acutely infected patients and scientists to rationally design preventative vaccine studies.

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Year:  2012        PMID: 23143525      PMCID: PMC3705732          DOI: 10.1097/QAI.0b013e31827146e0

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  29 in total

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3.  A concordance correlation coefficient to evaluate reproducibility.

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4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
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5.  Lack of evidence of a stable viral load set-point in early stage asymptomatic patients with chronic HIV-1 infection.

Authors:  C Vidal; F García; J Romeu; L Ruiz; J M Miró; A Cruceta; A Soriano; T Pumarola; B Clotet; J M Gatell
Journal:  AIDS       Date:  1998-07-30       Impact factor: 4.177

6.  Laboratory control values for CD4 and CD8 T lymphocytes. Implications for HIV-1 diagnosis.

Authors:  M Bofill; G Janossy; C A Lee; D MacDonald-Burns; A N Phillips; C Sabin; A Timms; M A Johnson; P B Kernoff
Journal:  Clin Exp Immunol       Date:  1992-05       Impact factor: 4.330

7.  Patterns of viral dynamics during primary human immunodeficiency virus type 1 infection. The Sydney Primary HIV Infection Study Group.

Authors:  G R Kaufmann; P Cunningham; A D Kelleher; J Zaunders; A Carr; J Vizzard; M Law; D A Cooper
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8.  Longitudinal HIV-1 RNA levels in a cohort of homosexual men.

Authors:  T R O'Brien; P S Rosenberg; F Yellin; J J Goedert
Journal:  J Acquir Immune Defic Syndr Hum Retrovirol       Date:  1998-06-01

9.  Natural history of HIV-1 cell-free viremia.

Authors:  D R Henrard; J F Phillips; L R Muenz; W A Blattner; D Wiesner; M E Eyster; J J Goedert
Journal:  JAMA       Date:  1995-08-16       Impact factor: 56.272

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Authors:  Giota Touloumi; Nikos Pantazis; Abdel G Babiker; Sarah A Walker; Olga Katsarou; Anastasia Karafoulidou; Angelos Hatzakis; Kholoud Porter
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  15 in total

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2.  Targeting HIV Prevention Based on Molecular Epidemiology Among Deeply Sampled Subnetworks of Men Who Have Sex With Men.

Authors:  Xicheng Wang; Yasong Wu; Lin Mao; Wei Xia; Weiwei Zhang; Lili Dai; Sanjay R Mehta; Joel O Wertheim; Xingqi Dong; Tong Zhang; Hao Wu; Davey M Smith
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3.  Differences in Risk Behavior and Demographic Factors Between Men Who Have Sex With Men With Acute and Nonacute Human Immunodeficiency Virus Infection in a Community-Based Testing Program in Los Angeles.

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4.  Transmitted antiretroviral drug resistance in the men who have sex with men HIV patient cohort, Beijing, China, 2008-2011.

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Journal:  Viral Immunol       Date:  2014-08-01       Impact factor: 2.257

5.  Plasma HIV RNA level is associated with neurocognitive function among HIV-1-infected patients in Nigeria.

Authors:  Jibreel Jumare; Samer S El-Kamary; Laurence Magder; Laura Hungerford; Nicaise Ndembi; Ahmad Aliyu; Patrick Dakum; Anya Umlauf; Mariana Cherner; Alash'le Abimiku; Man Charurat; William A Blattner; Walter Royal
Journal:  J Neurovirol       Date:  2018-08-30       Impact factor: 2.643

6.  Distortion of memory Vδ2 γδ T cells contributes to immune dysfunction in chronic HIV infection.

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7.  Knowledge and awareness of acute human immunodeficiency virus infection among mobile app-using men who have sex with men: a missed public health opportunity.

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8.  Interferon-induced transmembrane protein-3 rs12252-C is associated with rapid progression of acute HIV-1 infection in Chinese MSM cohort.

Authors:  Yonghong Zhang; Shokouh Makvandi-Nejad; Ling Qin; Yan Zhao; Tong Zhang; Lili Wang; Emmanouela Repapi; Stephen Taylor; Andrew McMichael; Ning Li; Tao Dong; Hao Wu
Journal:  AIDS       Date:  2015-05-15       Impact factor: 4.177

9.  Identification of 3 distinct HIV-1 founding strains responsible for expanding epidemic among men who have sex with men in 9 Chinese cities.

Authors:  Xiaoxu Han; Minghui An; Min Zhang; Bin Zhao; Hao Wu; Shu Liang; Xi Chen; Minghua Zhuang; Hongjing Yan; Jihua Fu; Lin Lu; Weiping Cai; Yutaka Takebe; Hong Shang
Journal:  J Acquir Immune Defic Syndr       Date:  2013-09-01       Impact factor: 3.731

10.  Longitudinal changes in plasma Caspase-1 and Caspase-3 during the first 2 years of HIV-1 infection in CD4Low and CD4High patient groups.

Authors:  Jingjing Song; Yanmei Jiao; Tong Zhang; Yonghong Zhang; Xiaojie Huang; Hongjun Li; Hao Wu
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

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