2011
DOI: 10.1371/journal.pone.0015738
|View full text |Cite
|
Sign up to set email alerts
|

Increased Rate of CD4+ T-Cell Decline and Faster Time to Antiretroviral Therapy in HIV-1 Subtype CRF01_AE Infected Seroconverters in Singapore

Abstract: BackgroundIt remains controversial as to whether HIV-1 subtypes influence disease progression. Singapore offers a unique opportunity to address this issue due to the presence of co-circulating subtypes. We compared subtype CRF01_AE and non-CRF01_AE infected patients, with regards to estimated annual rate of CD4+ T-cell loss and time from estimated data of seroconversion (EDS) to antiretroviral therapy (ART).MethodsWe recruited ART-naive patients with known dates of seroconversion between October 2002 and Decem… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

4
36
0
2

Year Published

2011
2011
2021
2021

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 50 publications
(43 citation statements)
references
References 15 publications
4
36
0
2
Order By: Relevance
“…24 Our analysis was restricted to adults (age ≥ 16 yr) enrolled in the studies between January 1998 and June 2010 with a known HIV-1 subtype and at least 2 CD4 cell count measurements within 1 year while they were naive to antiretroviral therapy. We selected CD4 cell count measurements in patients 16,17,25,26 In this study, we omitted any patient with a first AIDS event either before or within 3 months after their first CD4 cell count measurement; these patients were likely to be late presenters. To avoid including CD4 cell count measurements made during acute infection, we removed measurements within 6 months of documented seroconversion (known only for 15% of patients) and measurements < 100 cells/mL at the beginning of a series; these measurements may reflect the rapid CD4 cell count decline that occurs immediately after seroconversion before the immune system responds to infection.…”
Section: Data Collectionmentioning
confidence: 99%
“…24 Our analysis was restricted to adults (age ≥ 16 yr) enrolled in the studies between January 1998 and June 2010 with a known HIV-1 subtype and at least 2 CD4 cell count measurements within 1 year while they were naive to antiretroviral therapy. We selected CD4 cell count measurements in patients 16,17,25,26 In this study, we omitted any patient with a first AIDS event either before or within 3 months after their first CD4 cell count measurement; these patients were likely to be late presenters. To avoid including CD4 cell count measurements made during acute infection, we removed measurements within 6 months of documented seroconversion (known only for 15% of patients) and measurements < 100 cells/mL at the beginning of a series; these measurements may reflect the rapid CD4 cell count decline that occurs immediately after seroconversion before the immune system responds to infection.…”
Section: Data Collectionmentioning
confidence: 99%
“…Recombination among HIV-1 subtypes occurs frequently, resulting in genetic mosaics termed circulating recombinant forms (CRFs), whereby the two globally predominant CRFs are CRF01_AE and CRF02_AG (23). Interestingly, individuals infected with CRF01_AE HIV-1 can progress to disease faster than those infected with other HIV-1 subtypes or CRFs (52), yet the mechanism(s) responsible for this phenomenon remains unknown. Drug efficacy may also vary according to subtype classification (20,27).…”
mentioning
confidence: 99%
“…Subtype differences have been shown to influence CD4 decline rates, (Touloumi et al, 2013) leading to faster time to anti-retroviral therapy (Ng et al, 2011a). However, the reason behind these differences remains unknown.…”
Section: Resultsmentioning
confidence: 99%
“…The differential rate of progression in this population correlates with viral subtype, with AE showing faster progression than B subtype (Ng et al, 2011a). We characterized the Envs for infectivity in cells expressing different levels of CCR5, pattern of potential N-linked glycosylation sites (PNGS) and MVC resistance profile along with other correlative analyses.…”
Section: Introductionmentioning
confidence: 98%
See 1 more Smart Citation