Objectives: To determine whether intensification with raltegravir improves endothelial function in antiretroviral-treated HIV-infected individuals.
Design: Randomized, double-blinded, placebo-controlled study.
Methods: Fifty-six subjects with treatment-mediated viral suppression for at least 1 year were randomized to add 400 mg of raltegravir twice daily or matching placebo for 24 weeks. The primary endpoint was the difference in rate of change in endothelial function [as assessed by flow-mediated vasodilation (FMD) of the brachial artery] from baseline to week 24 between the raltegravir and placebo groups. Linear mixed models were used to evaluate the association of treatment group with changes in FMD, immune activation, and measures of viral persistence.
Results: At baseline, the median CD4+ T-cell count was 498 cells/mm3, nadir CD4+ T-cell count was 191 cells/mm3, duration of HIV infection was 18 years, FMD was 3.3%, and hyperemic velocity (a marker of microvascular function) was 68.3 cm. There were no significant differences between treatment groups in rate of change in FMD (raltegravir group: +0.032% per week, placebo group: +0.023% per week; P = 0.60). There were also no differences between treatment groups in rate of change in hyperemic velocity, immune activation, or viral persistence. In multivariable analysis, older age, longer duration of HIV infection, and current abacavir use were associated with lower FMD. Lower CD4+ T-cell count and current abacavir use were associated with lower hyperemic velocity.
Conclusions: The addition of raltegravir to suppressive antiretroviral therapy did not have a significant impact on cardiovascular risk, as assessed by endothelial function (ClinicalTrials.gov NCT00843713).
*Department of Medicine, University of California, San Francisco, CA
†Department of Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, CA
‡Karolinska Institutet, and Swedish Institute for Infectious Disease Control, Solna, Sweden
§Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
‖Department of Laboratory Medicine, University of California, San Francisco, CA
¶Blood Systems Research Institute, San Francisco, CA.
Correspondence to: Hiroyu Hatano, MD, MHSc, San Francisco General Hospital, Building 80, Ward 84, 995 Potrero Avenue, San Francisco, CA (e-mail: email@example.com).
Supported by National Institutes of Health Grant K23AI075985, K24AI069994, AI052745, AI055273, RR 16482, R01 HL095130, R01 AI087145, and R01 AI057020; American Foundation for AIDS Research Grants 106710-40-RGRL and 107170-44-RGRL; the University of California, San Francisco/Gladstone Institute of Virology and Immunology Center for AIDS Research (CFAR) Grant P30 AI027763; the University of California, San Francisco Clinical and Translational Research Institute Clinical Research Center Grant UL1 RR024131; the Center for AIDS Prevention Studies Grant P30 MH62246; the Center for HIV/AIDS Vaccine Immunology Grant U01 AI067854; and the CFAR Network of Integrated Systems Grant R24 AI067039.
H. Hatano and S.G. Deeks have received research support from Merck, Inc. Study drug provided by Merck at no cost for this study. The other authors have no conflicts of interest to disclose.
This study was presented at the 19th Conference on Retroviruses and Opportunistic Infections, March 2012, Seattle, Washington, DC (abstract #O-1002).
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Received May 17, 2012
Accepted August 9, 2012
Highly active antiretroviral therapy (HAART) has been effective in decreasing morbidity and mortality associated with HIV infection.1 However, multiple studies have shown that HIV-infected patients remain at increased risk for cardiovascular events.2–7 Whether this increased risk is due to factors related to HIV disease (such as low level viral replication or persistent immune activation) or factors related to HAART remains to be determined.
Several raltegravir intensification studies have assessed whether low-level viral replication persists in the setting of suppressive HAART.8–11 Although the studies differed in terms of patient population and outcome measures, they consistently found that intensification does not decrease plasma viremia as measured by ultrasensitive plasma HIV RNA assays. However, one study reported a significant decrease in viral replication as measured by an increase in 2-long terminal repeat circles in peripheral blood mononuclear cells (PBMCs),9 and another study showed a decrease in unspliced RNA in gut-associated lymphoid tissue (GALT),8 suggesting that intensification may decrease viral replication if measured in cells and tissues.
To date, however, there have been no published studies examining whether treatment intensification affects end-organ disease, and more specifically whether it has the potential to decrease cardiovascular risk in treated patients. We therefore conducted a randomized, double-blinded, placebo-controlled study to assess whether raltegravir intensification in HAART-suppressed individuals decreases cardiovascular risk. Endothelial dysfunction, as measured by brachial flow-mediated vasodilation (FMD), has been shown to be independently predictive of both short- and long-term cardiovascular events.12,13 Hyperemic velocity, the stimulus for FMD, is a measure of microvascular function that has recently been shown to independently predict incident cardiovascular risk.14,15 Traditional cardiovascular risk factors are strongly related to hyperemic velocity, suggesting that the impaired FMD observed among these individuals is at least partly due to microvascular dysfunction.16 In the Framingham Study, systemic inflammation remained independently associated with reactive hyperemia after adjustment for traditional risk factors, in contrast to FMD.17 Among individuals with rheumatoid arthritis, macrovascular function (as measured by FMD) and microvascular function (as assessed by hyperemic velocity) were relatively independent of each other, suggesting that there is differential regulation of endothelial function in these 2 vascular beds.18 Because HIV-infected individuals are in a chronic inflammatory state and because inflammation may impact macrovascular and microvascular function differentially, we also examined the effect of raltegravir intensification on hyperemic velocity as a secondary objective.
We performed a randomized, double-blinded, placebo-controlled study. Fifty-six HIV-infected HAART-treated individuals with viral suppression for at least 1 year were randomized to add 400 mg of raltegravir twice daily or matching placebo to their current suppressive HAART regimens for 24 weeks (Fig. 1). Subjects were randomized in a 1:1 ratio using a computer-generated random allocation sequence; all authors were kept blinded to study group assignment until data collection and analyses were completed. Because we were interested in the impact of treatment intensification in individuals with low and high CD4+ T-cell counts, we selected subjects based on having either a CD4+ T-cell count more than or less than 350 cells/mm3; this threshold has often been used by our group and others to define incomplete CD4+ T-cell recovery.11,19,20 Of 56 subjects, 32 were “immunologic responders” (CD4+ ≥350 cells/mm3 and viral suppression for ≥1 year). The remaining subjects (24/56) were “immunologic nonresponders” (CD4+ <350 cells/mm3 for ≥1 year despite viral suppression for ≥1 year)11; Of the 24 immunologic nonresponders, 22 continued study participation in an optional extension study in which all 22 subjects (regardless of initial treatment assignment to raltegravir or placebo) received open-label raltegravir from weeks 24 to 48. Of these 22 subjects, 6 subjects chose to continue raltegravir indefinitely (through week 60).
All subjects provided written informed consent. This study was approved by the University of California, San Francisco (UCSF) Committee on Human Research. Adherence to study drug was measured at every study visit by self-report and by pill-count. An independent Data Monitoring Committee comprised of 3 individuals from the scientific community met at 12, 24, 48, and 60 weeks after the enrollment of the first subject and at 60 weeks after the enrollment of the last subject. No significant adverse events occurred during the study.
Endothelial Function and Hyperemic Velocity
FMD of the brachial artery and hyperemic velocity were performed at baseline and weeks 4, 24, and 36 (and at weeks 28, 48, and 60 for subjects who participated in the extension study). For FMD measurements, we used a 10 MHz linear array probe in conjunction with the GE VividSeven Imaging System. To assess endothelium-dependent vasodilation, brachial artery diameter was measured under basal conditions and during reactive hyperemia after an ischemic stimulus. A blood pressure cuff was placed on the forearm and inflated to suprasystolic pressures for 5 minutes to induce forearm ischemia. The maximal increase in brachial artery diameter was assessed at 1 minute of reactive hyperemia. To assess endothelium-independent vasodilation, after 20 minutes of rest, brachial artery diameter was determined under basal conditions and after the administration of sublingual nitroglycerin (0.4 mg). Maximal dilation was assessed 3 minutes after the administration of sublingual nitroglycerin. Acquisition and analysis of the digitized images were performed using dedicated software (Information Integrity Inc, Iowa City, Iowa). Images were analyzed by a technician who was blinded to the subject's HIV disease and treatment status. Hyperemic velocity was assessed as the peak velocity-time integral of the first complete velocity envelope obtained after cuff release; because this measurement reflects vasodilation of the microvasculature, higher levels represent improved vasodilation.
We previously performed repeated brachial artery reactivity studies on 25 HIV-infected subjects to define the performance characteristics of test as performed at our center. Intraobserver reliability for measurement of brachial artery diameters was 0.972, which reflects an interclass correlation coefficient across all conditions of the study (ie, baseline, reactive hyperemia, and both pre- and postnitroglycerin administration).
The percent of activated CD4+ and CD8+ T cells were measured in PBMCs at baseline and weeks 4 and 24 (and weeks 28 and 48 for subjects who participated in the extension study). PBMCs were isolated from whole blood, cryopreserved, and stored at the UCSF AIDS Specimen Bank. Markers of T-cell activation (CD38 and HLA-DR) were measured using flow cytometry at the UCSF Core Immunology Laboratory, using previously described methods that have been optimized and validated for cryopreserved PBMCs.21 Briefly, cryopreserved PBMCs were rapidly thawed in warm media, counted on an Accuri C6 (BD Biosciences, San Jose, CA) with the Viacount assay (Millipore, Billerica, MA); average viability of thawed cells was 93% (range 61%–98%; 80% of samples had a viability >90%). Cells were then washed, and stained with Aqua Amine Reactive Dye (AARD, Invitrogen Grand Island, NY) to discriminate dead cells and then stained with the following fluorescently conjugated monoclonal antibodies: CD3-Pacific Blue, CD38-PE, HLA-DR-FITC (all BD Biosciences), CD4-PE Texas Red, and CD8-QDot 605 (Invitrogen). In each experiment, a fluorescent minus one control was included for CD38 and HLA-DR to determine the cutoff for positive staining. Stained cells were washed, fixed in 0.5% formaldehyde (Polyscience, Warrington, PA), and held at 4°C until analysis. Stained cells were run on a customized BD LSR II (BD Bioscience). About 100,000 lymphocytes were collected for each sample. Data were compensated and analyzed using FlowJo (Tree Star, Ashland, OR) to determine the proportion of CD4+ and CD8+ T cells coexpressing CD38 and HLA-DR).
Ultrasensitive plasma HIV RNA was measured at baseline and week 12 (and weeks 24 and 36 for subjects who participated in the extension study) with an ultrasensitive assay with a lower limit of detection of <0.3 copies/mL.22 Total proviral HIV DNA was measured from PBMCs at baseline and weeks 4 and 24 (and weeks 28 and 48 for subjects who participated in the extension study). Total proviral DNA was extracted from PBMCs using modifications of previously described methods.23,24 This assay has an overall sensitivity of 1 copy per 3 μg of input DNA, equivalent to approximately 450,000 PBMCs.25,26 All proviral DNA levels were normalized to per million CD4+ T cells (derived from the quantitation of human genomic DNA from a parallel real-time polymerase chain reaction amplification targeting a highly conserved region of the DQ-alpha locus, multiplied by the proportion of PBMCs that were CD4+ T cell at each time point).
Candidate covariates of FMD and hyperemic velocity included demographics, comorbidities, cardiovascular risk factors, and HIV-specific risk factors. Comorbidities and cardiovascular risk factors included body mass index, hypertension, antihypertensive medication use, lipid lowering medication use, aspirin use, diabetes, smoking, high density lipoprotein cholesterol, low density lipoprotein cholesterol, total cholesterol, triglycerides, family history of cardiovascular disease, C-reactive protein, estimated glomerular filtration rate, testosterone use, and testosterone levels. HIV-related factors included duration of HIV infection, ultrasensitive plasma RNA, proviral DNA, current and nadir CD4+ T-cell count, hepatitis C antibody status, history of opportunistic infection, lipodystrophy, and class of antiretroviral medications.
We compared baseline demographic and clinical characteristics of subjects in the raltegravir and placebo groups using the Mann–Whitney U test for continuous variables and Fisher exact test for categorical variables. Linear mixed models with random intercepts and slopes were used to evaluate the association of treatment group with FMD and rates of change in FMD. Interaction terms between treatment group and time were used to determine whether the rate of change in FMD differed between raltegravir and placebo groups. As secondary analyses, linear mixed models were used to evaluate the association of treatment group with changes in immune activation, ultrasensitive plasma RNA, and proviral DNA.
Separate multivariable linear regression models were constructed for each outcome, adjusting for duration of raltegravir use and for demographics, comorbidities, cardiovascular risk factors, and HIV-specific risk factors. The relationship of time on study showed nonlinear associations with some outcome measures; we therefore modeled time using linear splines, with potentially different slopes for weeks 0–28 and weeks 28–60. Factors forced in the full model included age, gender, and race. We used stepwise backward selection with a significance level of α = 0.05 to remove candidate covariates that were not associated with the outcome. All statistical analyses were conducted with the SAS system, version 9.2 (SAS Institute, Inc, Cary, NC).
The primary endpoint was the difference in rate of change in FMD between the raltegravir and placebo groups at week 24. All 56 subjects contributed data to the primary FMD analyses; 6 additional subjects who did not have FMD performed contributed data to the secondary immunologic and virologic analyses. The sample size was determined based on data from prior studies. In a randomized controlled study of 60 HIV negative individuals with severe cardiovascular disease, subjects were treated with pravastatin versus placebo for 6 weeks; the percent FMD was found to increase from 4.9% ± 0.8% to 7.0% ± 0.8% in the pravastatin group (P = 0.02).27 From a reproducibility study of FMD among healthy volunteers followed for 6 weeks, the mean standard deviation of the change in FMD was approximately 3%.28 Assuming the standard deviation in the change in FMD is as high as 3.5%, with 25 subjects in each arm, we would have 80% power (assuming a type I error of 5%) to detect a difference in FMD between groups of 2.8%. This effect size compares favorably to that observed in trials of 6 weeks of pravastatin in HIV-uninfected individuals (2.1%).27
Fifty-six individuals (26 raltegravir and 30 placebo) were enrolled in the study. Baseline characteristics between raltegravir and placebo groups were similar (Table 1). The median age was 53 years and 95% were male. The median CD4+ T-cell count was 498 cells/mm3. There was a trend toward the raltegravir group having a lower nadir CD4+ T-cell count compared with the placebo group (135 vs. 270 cells/mm3, P = 0.075).
Flow-Mediated Dilation and Hyperemic Velocity
At baseline, the median FMD was 3.3% [interquartile range (IQR), 2.5–5.1], the median endothelial independent vasodilation (nitroglycerin-mediated vasodilation) was 12.3% (IQR, 9.4–15.8), and hyperemic velocity was 68.3 cm (IQR, 48.7–100.1). The average rate of change in FMD over the first 24 weeks of the study was similar between the raltegravir [+0.032% per week, 95% confidence interval (CI): 0.007 to 0.058; P = 0.014] and placebo (+0.023% per week, 95% CI: −0.001 to 0.047; P = 0.059) groups (P = 0.60).
When including data from the extension study, the average rate of change in FMD across the entire 60-week study period was also similar between the raltegravir (+0.018% per week, 95% CI: 0.004 to 0.032; P = 0.011) and placebo (+0.023% per week, 95% CI: 0.009 to 0.036; P = 0.001) groups (P = 0.66) (Fig. 2A). With regards to endothelial independent vasodilation, the rate of change seemed to be greater in the raltegravir group (0.064% per week, 95% CI: 0.035 to 0.093; P < 0.0001) compared with the placebo group (0.033% per week, 95% CI: 0.0045 to 0.061; P = 0.023); however, it did not reach statistical significance (P = 0.13). Similarly, the average rate of change in hyperemic velocity was similar between the raltegravir (+0.28 cm per week, 95% CI: 0.056 to 0.50; P = 0.014) and placebo (+0.47 cm per week, 95% CI: 0.26 to 0.69; P < 0.0001) groups (P = 0.22) (Fig. 2B). In an exploratory analysis, we examined whether raltegravir intensification had a unique effect on FMD in immunologic nonresponders, but did not observe any differences in FMD between treatment groups at any visit.
In multivariable analysis, older age, longer duration of HIV infection, and current abacavir use were independently associated with lower FMD (Table 2), whereas higher body mass index was associated with higher FMD levels. In multivariable analysis, lower CD4+ T-cell count and current abacavir use were associated with lower hyperemic velocity (Table 3). In an exploratory analysis, we examined whether raltegravir intensification had a unique effect on FMD in nonsmokers and nonabacavir users; among 32 nonsmokers and nonabacavir users, there were no differences in FMD between treatment groups at any visit.
T-Cell Activation and CD4+ T-cell Counts
At baseline, the median percent CD38+HLA-DR+ CD4+ T-cells was 7.2%, and the median percent CD38+HLA-DR+ CD8+ T cells was 22.0%. The rate of change in immune activation was similar between the raltegravir and placebo groups. The average rate of change in percent CD38+HLA-DR+ CD4+ T-cells over the first 24 weeks of the study was −0.041% per week (P = 0.031) in the raltegravir group and −0.008% per week (P = 0.64) in the placebo group (P = 0.37). Between weeks 24 and 48, the rate of change in percent CD38+HLA-DR+ CD4+ T-cells was +0.11% per week (P < 0.0001) in the raltegravir group and +0.074% per week (P = 0.0003) in the placebo group (P = 0.63).
The proportion of CD8+ T cells coexpressing CD38 and HLA-DR has been shown to correlate with treatment-mediated immune recovery,29 mortality in the setting of treated HIV infection,30 and to differentiate different clinical phenotypes of HIV infection.31 The average rate of change in percent CD38+HLA-DR+ CD8+ T cells over the first 24 weeks of the study was +0.028% per week (P = 0.57) in the raltegravir group and +0.023% per week (P = 0.58) in the placebo group (P = 0.72). Between weeks 24 and 48, the rate of change in percent CD38+HLA-DR+ CD8+ T cells was +0.087% per week (P = 0.10) in the raltegravir group and +0.055% per week (P = 0.29) in the placebo group (P = 0.58). The rate of change in peripheral CD4+ T-cell count was similar between the raltegravir and placebo groups (P = 0.67).
Ultrasensitive Plasma RNA and Proviral DNA
At baseline, 24 of 60 subjects had detectable plasma RNA levels using an ultrasensitive <0.3 copies/mL assay; the median baseline plasma RNA level was 0.2 (IQR, 0.2–0.4) copies/mL. There was no statistically significant difference in the proportion of subjects with undetectable plasma RNA at week 12 between the raltegravir and placebo groups (62% vs. 61%, respectively, P = 0.99). Moreover, the average rate of change in ultrasensitive plasma RNA was similar between the raltegravir and placebo groups (P = 0.40).
The median baseline proviral DNA level in PBMCs was 203 (IQR, 21–1188) copies per million CD4+ T-cells. Moreover, the average rate of change in proviral DNA was similar between the raltegravir and placebo groups (P = 0.51). Finally, we found no statistically significant associations between FMD and percent CD38+HLA-DR+ CD4+ T-cells, percent CD38+HLA-DR+ CD8+ T cells, proviral DNA, or ultrasensitive plasma RNA in unadjusted or fully adjusted analyses.
In this randomized, double-blinded, placebo-controlled study, we found that the addition of raltegravir to a suppressive antiretroviral regimen did not have a significant impact on cardiovascular risk, as assessed by endothelial function (FMD) or microvascular function (hyperemic velocity). In addition, in this expanded cohort that included immunologic responders, we confirmed our earlier results that raltegravir intensification did not have a significant effect on immune activation, ultrasensitive plasma HIV RNA, or proviral HIV DNA.11
While the precise mechanisms linking HIV disease and cardiovascular disease have not been clearly defined, several studies have suggested that viral replication and persistent immune activation may play a key role. HIV-infected individuals (even those receiving HAART) have dampened endothelial function as assessed by FMD compared with HIV-uninfected individuals,32 and the initiation of HAART has been associated with a significant improvement in FMD.33 The importance of the relationship between plasma viremia and cardiovascular disease was further highlighted by the SMART study, in which continuous HAART was associated with reduced cardiovascular events as compared with intermittent or delayed HAART.34,35 Moreover, the link between CD4+ T-cell count and cardiovascular events has been reported in 2 large cohorts.36,37 Finally, our own group has found a consistent relationship between nadir CD4+ T-cell count and surrogate markers of cardiovascular risk, including carotid intima-media thickness,2 arterial stiffness,38 and endothelial function.39
Initial treatment studies with raltegravir demonstrated significantly higher rates of decline in plasma HIV RNA compared with antiretroviral drugs in other drug classes,40 which led to widespread interest in the possibility of using raltegravir as an intensification agent. However, subsequent studies have for the most part shown no effect of raltegravir intensification on markers of viral replication or immune activation. For example, in the ACTG 5244 study, 12 weeks of raltegravir intensification did not reduce ultrasensitive plasma RNA levels.10 A prior analysis from the immunologic nonresponder subset of our current study showed that in individuals with a CD4+ T-cell count <350 cells/mm3, raltegravir intensification did not result in a significant decrease in ultrasensitive plasma RNA, cell-associated RNA, proviral DNA, immune activation in PBMCs or GALT, or HIV-specific responses in PBMCs or GALT.11 Our current study adds to these findings by the inclusion of individuals with all CD4+ T-cell counts and by also studying a subset of individuals for 48–60 weeks; however, intensification did not affect measures of viral persistence or immune activation.
Our baseline values for FMD and hyperemic velocity were much lower than values reported in the literature for HIV-uninfected men of a similar age (age, 49 years; FMD, 8.6%; hyperemia, 121.6 cm).14 Because treatment intensification in antiretroviral-treated individuals does not seem to provide much benefit in terms of vascular function, other novel adjunctive therapies will likely be needed. Of note, we observed that regardless of treatment group, individuals with a low baseline CD4+ T-cell count (<350 cells/mm3) displayed a slow improvement in hyperemic velocity over time (data not shown). These data suggest that endothelial function may improve with longer term HAART, although it is unlikely that these measurements will ever improve to the level of the general population.2,4,5 In multivariable analysis, older age and longer duration of HIV infection were associated with more impaired FMD, and lower CD4+ T-cell count was associated with more impaired hyperemic velocity. Collectively, our data add to the growing body of literature in support of earlier initiation of HAART.41–44 Finally, although the association of abacavir with cardiovascular disease remains an area of debate,45–48 we observed that current abacavir use was associated with lower FMD and hyperemic velocity, which is consistent with our previous report (involving a different cohort of subjects) on abacavir use being a risk factor for cardiovascular disease.45
Limitations of this study include a modest sample size, limited number of female subjects, and multiplicity of analyses. However, this study expands on prior studies of cardiovascular disease in treated HIV infection because it includes the assessment of endothelial function and microvascular function (hyperemic velocity); the latter has not been previously reported in the setting of HIV disease. Given that lower CD4+ T-cell count was associated with lower hyperemic velocity but not FMD and having a lower CD4+ T-cell count on treatment has been associated with an increased risk of cardiovascular disease,39,41 one could speculate that the measurement of microvascular function is a more sensitive measure of future cardiovascular disease than FMD in the setting of treated HIV infection, or that it may identify a distinct type of vascular dysfunction that occurs in immunologic nonresponders versus responders; future studies will be needed to explore these hypotheses.
In this randomized, double-blinded, placebo-controlled study of 56 HAART-suppressed individuals, raltegravir intensification was not associated with any significant change in endothelial function, hyperemic velocity, immune activation, ultrasensitive plasma RNA, or proviral DNA. Older age, longer HIV duration, and current abacavir use were independently associated with lower FMD, whereas lower current CD4+ T-cell count and current abacavir use were associated with lower microvascular function. Additional studies will be needed to identify mechanisms to decrease cardiovascular risk in the setting of treated HIV infection.
1. Palella FJ Jr, Delaney KM, Moorman AC, et al.. Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators. N Engl J Med. 1998;338:853–860.
2. Hsue PY, Lo JC, Franklin A, et al.. Progression of atherosclerosis as assessed by carotid intima-media thickness in patients with HIV infection. Circulation. 2004;109:1603–1608.
3. Triant VA, Lee H, Hadigan C, et al.. Increased acute myocardial infarction rates and cardiovascular risk factors among patients with human immunodeficiency virus disease. J Clin Endocrinol Metab. 2007;92:2506–2512.
4. Phillips AN, Neaton J, Lundgren JD. The role of HIV in serious diseases other than AIDS. AIDS. 2008;22:2409–2418.
5. Hsue PY, Hunt PW, Schnell A, et al.. Role of viral replication, antiretroviral therapy, and immunodeficiency in HIV-associated atherosclerosis. AIDS. 2009;23:1059–1067.
6. Lo J, Abbara S, Shturman L, et al.. Increased prevalence of subclinical coronary atherosclerosis detected by coronary computed tomography angiography in HIV-infected men. AIDS. 2010;24:243–253.
7. Seaberg EC, Benning L, Sharrett AR, et al.. Association between human immunodeficiency virus infection and stiffness of the common carotid artery. Stroke. 2010;41:2163–2170.
8. Yukl SA, Shergill AK, McQuaid K, et al.. Effect of raltegravir-containing intensification on HIV burden and T-cell activation in multiple gut sites of HIV-positive adults on suppressive antiretroviral therapy. AIDS. 2010;24:2451–2460.
9. Buzon MJ, Massanella M, Llibre JM, et al.. HIV-1 replication and immune dynamics are affected by raltegravir intensification of HAART-suppressed subjects. Nat Med. 2010;16:460–465.
10. Gandhi RT, Zheng L, Bosch RJ, et al.. The effect of raltegravir intensification on low-level residual viremia in HIV-infected patients on antiretroviral therapy: a randomized controlled trial. PLoS Med. 2010;7:.
11. Hatano H, Hayes TL, Dahl V, et al.. A randomized, controlled trial of raltegravir intensification in antiretroviral-treated, HIV-infected patients with a suboptimal CD4+ T cell response. J Infect Dis. 2011;203:960–968.
12. Neunteufl T, Heher S, Katzenschlager R, et al.. Late prognostic value of flow-mediated dilation in the brachial artery of patients with chest pain. Am J Cardiol. 2000;86:207–210.
13. Gokce N, Keaney JF Jr, Hunter LM, et al.. Predictive value of noninvasively determined endothelial dysfunction for long-term cardiovascular events in patients with peripheral vascular disease. J Am Coll Cardiol. 2003;41:1769–1775.
14. Anderson TJ, Charbonneau F, Title LM, et al.. Microvascular function predicts cardiovascular events in primary prevention: long-term results from the Firefighters and Their Endothelium (FATE) study. Circulation. 2011;123:163–169.
15. Lind L, Berglund L, Larsson A, et al.. Endothelial function in resistance and conduit arteries and 5-year risk of cardiovascular disease. Circulation. 2011;123:1545–1551.
16. Mitchell GF, Parise H, Vita JA, et al.. Local shear stress and brachial artery flow-mediated dilation: the Framingham Heart Study. Hypertension. 2004;44:134–139.
17. Vita JA, Keaney JF Jr, Larson MG, et al.. Brachial artery vasodilator function and systemic inflammation in the Framingham Offspring Study. Circulation. 2004;110:3604–3609.
18. Sandoo A, Carroll D, Metsios GS, et al.. The association between microvascular and macrovascular endothelial function in patients with rheumatoid arthritis: a cross-sectional study. Arthritis Res Ther. 2011;13:R99.
19. Hunt PW, Martin JN, Sinclair E, et al.. Valganciclovir reduces T cell activation in HIV-infected individuals with incomplete CD4+ T cell recovery on antiretroviral therapy. J Infect Dis. 2011;203:1474–1483.
20. Lederman MM, Calabrese L, Funderburg NT, et al.. Immunologic failure despite suppressive antiretroviral therapy is related to activation and turnover of memory CD4 cells. J Infect Dis. 2011;204:1217–1226.
21. Sinclair E, Tan QX, Sharp M, et al.. Protective immunity to cytomegalovirus (CMV) retinitis in AIDS is associated with CMV-specific T cells that express interferon- gamma and interleukin-2 and have a CD8+ cell early maturational phenotype. J Infect Dis. 2006;194:1537–1546.
22. Palmer S, Wiegand AP, Maldarelli F, et al.. New real-time reverse transcriptase-initiated PCR assay with single-copy sensitivity for human immunodeficiency virus type 1 RNA in plasma. J Clin Microbiol. 2003;41:4531–4536.
23. Lee TH, el-Amad Z, Reis M, et al.. Absence of HIV-1 DNA in high-risk seronegative individuals using high-input polymerase chain reaction. AIDS. 1991;5:1201–1207.
24. Hatano H, Delwart EL, Norris PJ, et al.. Evidence for persistent low-level viremia in individuals who control human immunodeficiency virus in the absence of antiretroviral therapy. J Virol. 2009;83:329–335.
25. Lee TH, Paglieroni T, Utter GH, et al.. High-level long-term white blood cell microchimerism after transfusion of leukoreduced blood components to patients resuscitated after severe traumatic injury. Transfusion. 2005;45:1280–1290.
26. Lee TH, Chafets DM, Reed W, et al.. Enhanced ascertainment of microchimerism with real-time quantitative polymerase chain reaction amplification of insertion-deletion polymorphisms. Transfusion. 2006;46:1870–1878.
27. Dupuis J, Tardif JC, Cernacek P, et al.. Cholesterol reduction rapidly improves endothelial function after acute coronary syndromes. The RECIFE (reduction of cholesterol in ischemia and function of the endothelium) trial. Circulation. 1999;99:3227–3233.
28. De Roos NM, Bots ML, Schouten EG, Katan MB. Within-subject variability of flow-mediated vasodilation of the brachial artery in healthy men and women: implications for experimental studies. Ultrasound Med Biol. 2003;29:401–406.
29. Hunt PW, Martin JN, Sinclair E, et al.. T cell activation is associated with lower CD4+ T cell gains in human immunodeficiency virus-infected patients with sustained viral suppression during antiretroviral therapy. J Infect Dis. 2003;187:1534–1543.
30. Hunt PW, Cao HL, Muzoora C, et al.. Impact of CD8+ T cell activation on CD4+ T cell recovery and mortality in HIV-infected Ugandans initiating antiretroviral therapy. AIDS. 2011;25.
31. Hunt PW, Brenchley J, Sinclair E, et al.. Relationship between T Cell Activation and CD4(+) T Cell Count in HIV-seropositive individuals with undetectable plasma HIV RNA levels in the absence of therapy. J Infect Dis. 2008;197:126–133.
32. Solages A, Vita JA, Thornton DJ, et al.. Endothelial function in HIV-infected persons. Clin Infect Dis. 2006;42:1325–1332.
33. Torriani FJ, Komarow L, Parker RA, et al.. Endothelial function in human immunodeficiency virus-infected antiretroviral-naive subjects before and after starting potent antiretroviral therapy: The ACTG (AIDS Clinical Trials Group) Study 5152s. J Am Coll Cardiol. 2008;52:569–576.
34. El-Sadr WM, Lundgren JD, Neaton JD, et al.. CD4+ count-guided interruption of antiretroviral treatment. N Engl J Med. 2006;355:2283–2296.
35. Emery S, Neuhaus JA, Phillips AN, et al.. Major clinical outcomes in antiretroviral therapy (ART)-naive participants and in those not receiving ART at baseline in the SMART study. J Infect Dis. 2008;197:1133–1144.
36. Lichtenstein KA, Armon C, Buchacz K, et al.. Low CD4+ T cell count is a risk factor for cardiovascular disease events in the HIV outpatient study. Clin Infect Dis. 2010;51:435–447.
37. Triant VA, Regan S, Lee H, et al.. Association of immunologic and virologic factors with myocardial infarction rates in a US healthcare system. J Acquir Immune Defic Syndr. 2010;55:615–619.
38. Ho JE, Deeks SG, Hecht FM, et al.. Initiation of antiretroviral therapy at higher nadir CD4+ T-cell counts is associated with reduced arterial stiffness in HIV-infected individuals. AIDS. 2010;24:1897–1905.
39. Ho JE, Scherzer R, Hecht FM, et al.. The association of CD4+ T-cell count on cardiovascular risk in treated HIV disease. AIDS. 2012;26:1115–1120.
40. Murray JM, Emery S, Kelleher AD, et al.. Antiretroviral therapy with the integrase inhibitor raltegravir alters decay kinetics of HIV, significantly reducing the second phase. AIDS. 2007;21:2315–2321.
41. Kaplan RC, Kingsley LA, Gange SJ, et al.. Low CD4+ T-cell count as a major atherosclerosis risk factor in HIV-infected women and men. AIDS. 2008;22:1615–1624.
42. Triant VA, Regan S, Lee H, et al.. Association of immunologic and virologic factors with myocardial infarction rates in a US healthcare system. J Acquir Immune Defic Syndr. 2010;55:615–619.
43. Boulassel MR, Chomont N, Pai NP, et al.. CD4 T cell nadir independently predicts the magnitude of the HIV reservoir after prolonged suppressive antiretroviral therapy. J Clin Virol. 2011;53:29–32.
44. Jain V, Hartogensis W, Bacchetti P, et al.. ART initiation during acute/early HIV infection compared to later ART initiation is associated with improved immunologic and virologic parameters during suppressive ART [abstract 517]. In: Program and Abstracts of the 18th Conference on Retroviruses and Opportunistic Infections, Boston, February 27-March 2, 2011.
45. Hsue PY, Hunt PW, Wu Y, et al.. Association of abacavir and impaired endothelial function in treated and suppressed HIV-infected patients. AIDS. 2009;23:2021–2027.
46. Ribaudo HJ, Benson CA, Zheng Y, et al.. No risk of myocardial infarction associated with initial antiretroviral treatment containing abacavir: short and long-term results from ACTG A5001/ALLRT. Clin Infect Dis. 2011;52:929–940.
47. Palella FJ Jr, Gange SJ, Benning L, et al.. Inflammatory biomarkers and abacavir use in the Women's Interagency HIV Study and the Multicenter AIDS Cohort Study. AIDS. 2010;24:1657–1665.
48. Baum PD, Sullam PM, Stoddart CA, et al.. Abacavir increases platelet reactivity via competitive inhibition of soluble guanylyl cyclase. AIDS. 2011;25:2243–2248.
Keywords:© 2012 Lippincott Williams & Wilkins, Inc.
HIV; raltegravir intensification; endothelial function; flow-mediated vasodilation