Secondary Logo

Journal Logo

Basic and Translational Science

Effect of Host Genetics on Incidence of HIV Neuroretinal Disorder in Patients With AIDS

Sezgin, Efe PhD*; Hendrickson, Sher L PhD*; Jabs, Douglas A MD, MBA†‡; Van Natta, Mark L MHS; Lewis, Richard A MD§; Troyer, Jennifer L PhD; O'Brien, Stephen J PhD*  for the SOCA Research Group

Author Information
JAIDS Journal of Acquired Immune Deficiency Syndromes: August 1, 2010 - Volume 54 - Issue 4 - p 343-351
doi: 10.1097/QAI.0b013e3181deaf4d



Before the introduction of highly active antiretroviral therapy (HAART), ocular complications, particularly ocular opportunistic infections (OIs), were common among patients with the AIDS.1 Although the incidence of ocular OIs has been reduced ∼80% by HAART,2,3 the impact of other noninfectious problems is more evident, particularly an HIV-related presumed neuroretinal disorder (HIV-NRD), manifested by abnormal contrast sensitivity, color vision, and visual fields.4-7 The decrease in contrast sensitivity often is sufficiently severe to impair reading speed. The pathogenesis of HIV-NRD is not well understood currently, but hypotheses include direct infection of neural tissue, indirect damage due to immune reaction against HIV infection, and HIV microangiopathy-related cumulative damage to optic nerve and retina.

Host genetics have been shown to affect the acquisition of HIV infection, progression to AIDS and the efficacy of antiretroviral therapy.8-12 HIV-NRD may be an outcome of worse AIDS prognosis.4,6 Therefore, it is also possible that host genetics that affect progression to AIDS and the efficacy of antiretroviral therapy may also affect the development of HIV-NRD. In this study, we evaluated host genetic factors that may influence HIV-NRD development. We evaluated the effects of variants in the genes CCR5Δ32, CCR2-64I, CCR5 P1, SDF-3'A, IL-10-5'A, RANTES -403A, RANTES -28G, RANTES-In1.1C, CX3CR1-249I, CX3CR1-280M, IFNG-179T, MDR1-3435T, and MCP-1364G each of which has been shown to influence HIV-1 infection, AIDS progression, therapy response, and antiviral drug metabolism. Previous studies showed that tumor necrosis factor (TNF) leads to damage in optic nerves.13-16 IL-10 is a major regulator/suppressor of TNF and other inflammatory cytokines.17,18 Moreover, genetic polymorphisms in IL-10R1 have been shown to diminish IL-10 signalling through the IL-10 receptor complex.19,20 As our initial screen identified IL-10-5'A as a genetic risk factor for HIV-NRD, we extended our analyses to polymorphisms in the primary IL-10 receptor gene, IL-10R1, that have a crucial role in the IL-10 signaling pathway. Our study participants were HIV-infected European American and African American patients enrolled in the Longitudinal Study of the Ocular Complications of AIDS (LSOCA) cohort.


Study Population and Clinical Assessment of HIV-NRD

Study patients included 345 European American and 234 African American individuals enrolled in the LSOCA cohort, who did not have ocular OIs. All patients in this study were enrolled beginning in September 1998 and diagnosed with AIDS according to the 1993 Centers for Disease Control and Prevention surveillance case definition for AIDS. Details of the study design and implementation have been published previously.2,3 Eighty-seven percent of the European and 86% of African American patients were receiving HAART. The date of HIV-NRD diagnosis was defined as the first date when a patient had log unit contrast sensitivity less than 1.5, in at least 1 eye. Clinical methods for assessing HIV-NRD in LSOCA have been described previously.4 The LSOCA program, including a specimen bank for immunologic and genetic testing, was reviewed and approved by the institutional review boards at the participating clinical centers and at the resource centers, and written consent was obtained from each participant.

Genotyping and Haplotype Construction

Previously identified functional polymorphisms, rs333, rs1799864, rs1799988, rs1801157, rs1800872, rs2107538, rs2280788, rs2280789, rs3732379, rs3732378, rs2069709, rs1045642, and rs2857657, were genotyped for CCR5Δ32, CCR2-64I, CCR5 P1, SDF-3'A, IL-10-5'A, RANTES -403A, RANTES -28G, RANTES-In1.1C, CX3CR1-249I, CX3CR1-280M, IFNG-179T, MDR1-3435T, and MCP-1364G (intronic 767G, representative of haplotype 7) mutations, respectively. Additionally, 11 haplotype tagging single-nucleotide polymorphisms (SNPs) (promoter region: rs17351243, rs4072227, rs6667202, rs1800890, rs1800896, and rs1800894; intronic: rs3021094, rs3024508; 3' UTR: rs3024496, rs3024498, and rs3024500) covering the IL-10 region were also selected. rs1800896 (-1082) and rs1800872 (-592) were used to construct the proximal promoter IL-10 haplotypes of ATA, ACC, and GCC that were reported to be associated with differential IL-10 production.21-24 rs1800871 (-819) was not genotyped due to complete linkage with rs1800872. Functional and haplotype tagging SNPs for IL-10R1 region were rs3135932 (replacement), rs2228055 (replacement), rs4252279 (Intron), rs4252314 (Intron), rs4252286 (Intron), rs2229113 (replacement), and rs2229114 (replacement). All SNPs were genotyped with the ABI-TaqMan method (Applied Biosystems, Foster City, CA). We could not get clear genotyping results for a few individuals for the IL-10 and IL-10R1 SNPs, and they were omitted from SNP-based association analyses.

All haplotypes are inferred by the expectation maximization algorithm using SAS Genetics (SAS Institute, Cary, NC) and the HaploView software.25 The presence of CCR5_59353C (rs1799988) in the absence of CCR2-64I and CCR5Δ32 defines the CCR5 P1 promoter haplotype +.P1.+.26 The RANTES -403A, RANTES -28G, and RANTES-In1.1C genotypes define the RANTES haplotypes. RANTES -H1=G-C-T, RANTES -H2=A-C-T, and RANTES -H3=A-C-C (low producer haplotype).8,27

Statistical Analyses

Each SNP and haplotype found at ≥1% frequency in the study population were evaluated for NRD development with 3 different models of inheritance: allelic, dominant, and codominant. Allelic analyses were used to examine individual allele effects. Genotypes were coded as 0, 1, and 2 copies of the rare allele for the codominant model. The dominant model analyzed genotypes as absence or presence of the rare alleles. Odds ratios (ORs) for the codominant model were calculated by logistic regression and for the allelic and dominant models by 2 × 2 tables. Nominal P values are reported. As the patients were diagnosed with AIDS before study entry, a staggered entry28 approach was adapted, and time to HIV-NRD was analyzed using the Cox proportional hazards model. The method of staggered entry allows inclusion of prevalent cases into a survival analysis of time from diagnosis to event. The main assumption is that prevalent cases without the event of interest at baseline have the same risk over time as incident cases without the event of interest at the same time as entry into the study of the prevalent cases. The method of staggered entry creates risk sets (ie, number at risk) to compare incident and prevalent AIDS patients at similar times since AIDS diagnosis. Unlike standard survival methods in which the number at risk can only decrease over time, the number at risk can increase or decrease over time. We checked the main assumption using only incident cases and did not see a significant loss in statistical power. As the main assumption was not violated, this method can control for varying lengths of follow-up. Cox models were adjusted for square root of nadir CD4+ T-cell count, highest log10 HIV-1 load, age, and gender. To increase sample size and statistical power, analyses were extended to include each eye separately by a sandwich estimate of covariates in the Wald tests for the global null hypothesis and null hypotheses of individual parameters (by PROC PHREG covsandwich procedure in SAS). Only patients with visual acuity 20/20 Snellen equivalents (Standard ETDRS letters = 85) or better were included in the Cox analyses to avoid cases of decreased contrast sensitivity attributable to other major ocular complications, cataracts, or glaucoma. All analyses were performed with SAS version 9.1 (SAS Institute, Cary, NC). Throughout the article, cases represent study patients who developed HIV-NRD, and controls represent study patients who did not develop HIV-NRD.


There were significant differences in terms of male gender percentage (P = 0.001), age (P = 0.01), CD4+ T-cell counts (P = 0.01), and time since AIDS diagnosis (P = 0.01) at study enrollment between European American (n = 345) and African American study patients (n = 234; Table 1). However, the HIV-NRD cases and controls did not differ significantly from each other for the clinical variables considered within European American patients, except more of the control patients were on HAART compared with HIV-NRD cases (89% vs. 78%; P = 0.01). African American patients with HIV-NRD were slightly older compared with the patients who did not develop HIV-NRD (44.7 ± 7.5 vs. 40.5 ± 7.9; P = 0.003).

Clinical Aspects of European American and African American LSOCA Patients Used in This Study

European American Analyses

In SNP-based analyses, we observed an increased frequency of IL-10-5A' (rs1800872) variant in the European American patients with HIV-NRD. Persons carrying this allele were more likely to develop HIV-NRD in all 3 models (allelic, codominant, and dominant) of association tests (Table 2). Further analysis of IL-10 region haplotype tagging SNPs identified 2 other variants with reduced risk of HIV-NRD development (see Table, Supplemental Digital Content 1, We also observed a trend toward HIV-NRD susceptibility associated with an intronic variant in IL-10R1 (see Table, Supplemental Digital Content 1,

Allelic Distribution and Association Tests of Genetic Polymorphisms in HIV-NRD Cases and Controls

After individual SNP analyses, haplotypes were constructed and analyzed. There were 19 and 8 haplotypes with ≥1% frequency inferred for IL-10 and IL-10R1, respectively (Fig. 1; see Figure, Supplemental Digital Content 2, A strong linkage disequilibrium pattern around IL-10 driving the nonindependent nominally significant SNP-based HIV-NRD associations was evident (ie, high D′ values observed between several SNPs, Fig. 1).

Inferred haplotypes, their frequencies, and LD structure across the IL-10 region in European American samples. Black filled rectangles show IL-10 exons. Lines indicate the actual physical position of SNPs with respect to each other. Brightness of red color represents the pair-wise D′ (%) values. High D′ values (D′ > 80) are shown with bright red, low D′ values are shown in light red and blue squares. The P values associated with D′ estimates ranged from 10−22 for the rs1800872 and rs1800896 pair to 10−73 for the rs3024500 and rs3024496 pair. Pair-wise D′ values (%) for these SNPs are shown in the squares. Previously described proximal promoter haplogroups assocaited with low, medium, and high IL-10 production21-24 are combined to form HG1 (low IL-10 producer), HG2 (medium IL-10 producer), and HG3 (high IL-10 producer), respectively. The minor alleles of rs3024496 and rs3024500, highlighted in dark grey color, show high LD with HG3 (P = 10−20) (see Table, Supplemental Digital Content 1,, for association of these 2 SNPs with HIV-NRD development).

Three well-studied IL-10 proximal promoter haplotypes ATA, ACC, and GCC, including rs1800896 (A/G), rs1800871 (C/T), and rs1800872 (C/A), were easily discerned using rs1800896 (A/G) and rs1800872 (C/A) as AA, AC, and GC by red, yellow, and green highlights, respectively, in Figure 1. Three IL-10 haplotypes showed increased HIV-NRD susceptibility, each of which had AA (rs1800896-A and rs1800872-A) haplotype (highlighted red in Fig. 1; see Table, Supplemental Digital Content 3, The effect of the fifth haplotype (Hap5) was more evident compared with the other haplotypes (see Table, Supplemental Digital Content 3,, which, in part, may be due to its larger sample size. Individual IL-10 proximal promoter AA, AC, and GC haplotypes were pooled to form combined haplotype groups HG1, HG2, and HG3 (Fig. 1). Similar to individual AA haplotypes, the combined HG1 haplotypes showed increased HIV-NRD susceptibility in all models of association (Table 3). The combined HG3 haplotypes showed decreased susceptibility, although the results were not always significant (Table 3). Moreover, IL-10R1-Hap5 was enriched in the HIV-NRD cases (see Table, Supplemental Digital Content 4, Finally, patients with HIV-NRD had more CCR5 P1 promoter allele defining haplotype +.P1.+ than expected by chance (Table 3).

Haplotype Analyses for HIV-NRD Development in European American and African American Patients

The effects of individual SNPs and haplotypes on HIV-NRD development were also evaluated by the Cox proportional hazards models adjusted for age, gender, CD4+ T-cell count and HIV-1 viral load of patients. The increased HIV-NRD risk associated with IL-10-5A' (rs1800872) and HG1 (Table 4), and IL-10R1 rs4252314 (see Table, Supplemental Digital Content 5,, were still evident. When each eye was assessed individually, all the aforementioned susceptible and protective variant effects were stronger [hazard ratio (HR): 2.02-2.46, P = 0.02-0.0002; Table 4 and Table footnotes, Supplemental Digital Content 5,].

Cox proportional Hazards Analyses for HIV-NRD Development in European American and African American Patients

African American Analyses

African Americans patients with the CCR2-64I (rs1799864) and RANTES-In1.1C (rs2280789) variants showed increased risk of HIV-NRD development in allelic, dominant, and codominant models of association (Table 2). Haplotype analyses confirmed the RANTES association where the H3 (A-C-C) haplotype carrying the In1.1C variation showed higher odds of developing HIV-NRD (Table 3). Similar to European American analyses, there were 18 and 7 haplotypes with ≥1% frequency constructed for IL-10 (see Figure, Supplemental Digital Content 6, and see Table, Supplemental Digital Content 7, and IL-10R1, respectively (see Figure, Supplemental Digital Content 2, and see Table, Supplemental Digital Content 4, Whereas only 6 IL-10 haplotypes were common between European American and African American individuals, the IL-10R1 haplotypes were nearly identical in both groups. The IL-10R1 Hap5, with increased frequency in European American HIV-NRD cases, also suggested an increased risk of HIV-NRD for African American patients (see Table, Supplemental Digital Content 4,

The Cox analyses strengthened the observation of increased HIV-NRD risk associated with RANTES-In1.1C and H3 (A-C-C) and also indicated a protective role for H2 (A-C-T) (Table 4). Although CCR2-64I still trended for HIV-NRD susceptibility (see Table, Supplemental Digital Content 5, and IL-10R1 Hap3 for protection (HR = 0.49; P = 0.06; see Table, Supplemental Digital Content 4,, the results were less significant after clinical covariates were adjusted. When each eye was analyzed independently, similar HIV-NRD association trends were observed, with a possible increased HIV-NRD risk for patients with SDF-3A' variant (HR = 2.24, confidence interval.: 1.24 to 4.03, P = 0.007; see Table footnotes, Supplemental Digital Content 5,


We investigated the role of host genetics in HIV-NRD development and explored the influence of variants of several genes known to influence other aspects of HIV infection. Our analyses suggest that European American patients with the IL-10-5A' variant and with the associated haplotype (proximal promoter HG1) are more likely to progress to HIV-NRD. Moreover, IL-10R1 receptor variants may also influence this complication in European Americans. On the other hand, RANTES polymorphisms (RANTES-In1.1C) and associated haplotypes (H2 and H3) are the main effectors on HIV-NRD development in African American patients.

In this study, we focused on 11 different genes. Using a strict Bonferroni correction, each gene necessitates a P value ≤4.5 × 10−3 to be considered statistically significant. Moreover, some genes were analyzed for more than 1 SNP (variant) and inferred haplotypes. When all these individual tests considered (>100), the expected Bonferroni significance cut-off goes down to roughly P < 10−5. None of the P values observed in this study will meet this conservative cut-off value. However, given the linkage disequilibrium pattern around these genes, it is clear that neither the individual SNPs nor the inferred haplotype association tests are independent comparisons. In other words, if we assume all individual SNP and haplotype comparisons as independent and we correct for multiple tests, type 1 error will inflate. Using a gene-based P value cut-off of 4.5 × 10−3, only the RANTES associations in African Americans would be considered statistically significant. Given the size of the available sample (especially the number of HIV-NRD cases), our limited statistical power is not surprising. When each eye was considered independently, our sample size (nearly) doubled and the observed association list expanded to include variants +.P1.+ (CCR5 promoter) haplotype and SDF-3A' in European and African Americans, respectively. Overall, IL-10 (and possibly its receptor), RANTES, and SDF associations suggest a potential biological basis for our results.

IL-10 is a key regulatory cytokine involved in a wide spectrum of immune responses, particularly the suppression of T helper type-1 (Th1) immune responses involved in cellular immunity.18 Variations in the promoter region of IL-10 affect IL-10 production.21,22,24,29,30 Moreover, one of these variants, the low producer IL-10-5A' and its associated ATA haplotype (represented by HG1 in this study), has been shown to influence HIV-1 infection and accelerate progression to AIDS23,31,32 in European Americans. RANTES, a CC chemokine receptor 5 (CCR5) ligand, is a potent inhibitor of HIV-1 cell entry and replication.33 RANTES variants and haplotypes influence RANTES production and have been shown to affect HIV-1 infection, progression to AIDS, and HAART outcome.8,10,34-37 SDF-1 is a natural ligand for CXCR4 receptor and a potent inhibitor of HIV-1 cell entry and replication.33 The SDF-3A' variant is associated with increased SDF production 38,39 and has also been show to affect AIDS progression and response to HAART.10,40-42 Finally, the significant effects of CCR5 promoter haplotype variant (+.P1.+) on AIDS progression and response to HAART are well documented.10,12,26 Most of the genetic risk factors for HIV-NRD observed in this study are ones that make a patient more susceptible to AIDS. In other words, the patients who are more susceptible to HIV-NRD development in this study are genetically similar to patients from earlier studies who have increased susceptibility to both faster AIDS progression and HAART failure. However, the CCR2-64I and SDF-3A' variants have been previously reported to have protective effects against AIDS progression,11,39,42 although their effect on AIDS patients' prognosis who received HAART were inconclusive 12,41,43-45 if not suggesting a negative effect on some reports.10,46

Clearly, interpretations of gene-disease interactions are difficult because of the complexity of these relationships. HIV-NRD is a rare disease with no known etiology; it occurs only in patients with advanced AIDS. Therefore, it is impossible to completely untangle AIDS effects from NRD-specific effects. In addition, there is an inherent survival bias in any study of HIV-NRD; all affected individuals have survived to advanced stages of AIDS and have probably experienced other AIDS-related illnesses. A possible and simple explanation for the similar genetic associations of HIV-NRD and AIDS progression is that HIV-NRD is present in patients with a worse HIV prognosis. The host genetics may be affecting the severity of the AIDS progression rather than exerting a direct effect on neuroretinal tissue and the development of HIV-NRD.

There are, however, several reasons to suspect that the presence of HIV-NRD may be more complex than a simple indicator of more severe HIV infection. The first comes from comparisons of AIDS-related clinical parameters. CD4+ T-cell counts, HIV viral load, and age are the major clinical parameters that influence HIV infection, progression, and response to therapy. Patients with lower CD4+ T-cell counts and higher HIV viral loads (or rebounds after therapy) are expected to be more prone to faster HIV progression to AIDS and associated complications. If the sole explanation was that HIV-NRD was a marker for more severe HIV infection, one might expect significant differences between HIV-NRD cases and controls in these clinical parameters even though CD4+ T-cell count and HIV viral load comparisons may not be a comprehensive representation of disease severity in a seroprevalent cohort. We did not see significant difference in either of these parameters between HIV-NRD cases and AIDS controls in either European Americans or in African Americans. Moreover, the statistical models were adjusted for these 4 major HIV-related clinical variables, and the genetic associations with HIV-NRD were still evident. However, we do acknowledge that CD4+ T-cell count and HIV viral load comparisons may not be a true representation of disease severity in a seroprevalent cohort. Still, the presence of HIV-NRD may be more complex than a simple indicator of more severe HIV infection.

Second, not all of the variants associated with susceptibility and rapid progression to AIDS influenced HIV-NRD significantly, and 2 protective variants (CCR2-64I and SDF-3A') that are associated with slower AIDS progression actually “increased” the risk of HIV-NRD. One can speculate that increased proinflammatory signaling could be beneficial from a standpoint of AIDS progression, but that long-term activation of these pathways resulting from a longer chronic stage of HIV-infection could have other detrimental effects including damage to neuronal tissues in the eyes. However, for the moment, this must remain speculative as genetic associations are complicated and need replication and functional follow-up not possible in this particular rare incidence effect cohort.

Finally, neurotoxic effects of HIV infection itself in neural tissues are well documented.47 For example, neuropathologies affect up to 40% of adult patients with AIDS,48 and autopsy studies have shown a substantial (up to 50%) loss of optic nerve fibers in patients with AIDS.49 In the cohort in this genetic study, 18% of the European American patients with HIV-NRD also had an HIV-related neurological disorder, whereas only 8% of the patients without HIV-NRD developed a similar neurological disorder. The fractions of HIV-related neurological complications in African Americans were 12% and 8% for patients with and without HIV-NRD, respectively. Given that only a small fraction of patients with neurological damage from HIV can be diagnosed reliably in patients with AIDS, these fractions could represent an underestimate of ongoing neuronal damage in patients with AIDS in this cohort.

Neuroimmunological studies of patients with AIDS provide information suggesting potential mechanisms of neurodegeneration associated with HIV-1 infection.50 Previously, both in vivo and in vitro examinations showed that cytokine expression, especially the TNF leads to myelin and/or membrane damage in optic nerves.13-16 IL-10 is a major regulator/suppressor of TNF and other inflammatory cytokines.17,18 The association of low IL-10 producer variant in European Americans and increased HIV-NRD risk may be explained in part by an increased immune activity (ie, higher TNF production) leading to an increased damage to the optic neurons. In addition to the damaging cytokines, prostaglandins, proteases, arachidonic acid, and other metabolites, viral gp120, gp41, tat, vpr, and nef proteins can be directly neurotoxic.51 These neurotoxic viral proteins are produced irrespective of productive HIV infection and can be transported along the neural pathways causing damage at remote sites.52 In other words, the cascade of reactions leading to neurotoxicity may be started by relatively small amounts of viral proteins and need not depend on high viral loads or viral reproduction in a cell.53 HIV-1 infection of nervous system, and therefore the potential start of destructive lesions in neural tissues, occurs at an early stage, well before HAART typically is begun. Hence, the presence of these neuronal complications in the HAART era, despite substantially more effective therapies, improved CD4+ T-cell counts, and decreased HIV loads, may not be surprising.

Another crucial observation is the presence of HIV coreceptors CCR5 and CXCR4 in neurons.54,55 Studies suggest an important role for gp120-activated CXCR4 and CCR5 in HIV-associated neuronal damage.56,57 It has been shown that the CCR5 ligand, RANTES, can protect neurons against gp 120-induced toxicity,51,56,57 whereas SDF-1 can induce toxicity and trigger neuronal death in a CXCR4-dependent manner.51,56,57 These reports suggest a biological basis for the increased HIV-NRD risk in African Americans associated with low RANTES and high SDF producing variants and may also explain the opposite effect of SDF-3A′ on AIDS (protective) vs. HIV-NRD (susceptible). We observed different gene variants to be associated with HIV-NRD in African Americans and European Americans. This may be due to allele frequency differences between the 2 ethnic groups, genetic heterogenety in African Americans or other clinical and/or social factors that we cannot account for in this study.

In conclusion, some host genetic risk factors that influence AIDS progression, response to HAART, and overall immune health, seem to affect ocular health in HIV-infected patients. Our results suggest a role for the IL-10 pathway in European Americans and for the chemokine ligands, RANTES and SDF-1, in African Americans leading to damage to retina and/or optic nerve. It will be intersting to study a cohort of patients who develop HIV-NRD independent of AIDS to test if the observed associations are specific for HIV-NRD.


We thank the patients and staff of all the participating centers in the study. We are also grateful to Michael Malasky, Mary Thompson, Bailey Kessing, Christiana Martin, Nick Edler, Nicole Shifflett, Katy Limpert, Natalie Baggett, Kelly Subramanian and Alyssa Drosdak for their assistance. Finally, we acknowledge the constructive criticism from 2 reviewers who helped in the final version of the article. The content of this publication neither does necessarily reflect the views or policies of the Department of Health and Human Services, nor does any mention of trade names, commercial products, or organizations imply endorsement by the U.S. government (see acknowledgements for LSOCA Clinical Centers Credit Roster, Supplemental Digital Content 8,


1. Jabs DA. Ocular manifestations of HIV infection. Trans Am Ophthalmol Soc. 1995;93:623-683.
2. Jabs DA, Van Natta ML, Holbrook JT, et al. Longitudinal study of the ocular complications of AIDS: 1. Ocular diagnoses at enrollment. Ophthalmology. 2007;114:780-786.
3. Jabs DA, Van Natta ML, Holbrook JT, et al. Longitudinal study of the ocular complications of AIDS: 2. Ocular examination results at enrollment. Ophthalmology. 2007;114:787-793.
4. Freeman WR, Van Natta ML, Jabs D, et al. Vision function in HIV-infected individuals without retinitis: report of the Studies of Ocular Complications of AIDS Research Group. Am J Ophthalmol. 2008;145:453-462.
5. Mueller AJ, Plummer DJ, Dua R, et al. Analysis of visual dysfunctions in HIV-positive patients without retinitis. Am J Ophthalmol. 1997;124:158-167.
6. Plummer DJ, Marcotte TD, Sample PA, et al. Neuropsychological impairment-associated visual field deficits in HIV infection. HNRC Group. HIV Neurobehavioral Research Center. Invest Ophthalmol Vis Sci. 1999;40:435-442.
7. Shah KH, Holland GN, Yu F, et al. Contrast sensitivity and color vision in HIV-infected individuals without infectious retinopathy. Am J Ophthalmol. 2006;142:284-292.
8. An P, Nelson GW, Wang L, et al. Modulating influence on HIV/AIDS by interacting RANTES gene variants. Proc Natl Acad Sci U S A. 2002;99:10002-10007.
9. Carrington M, O'Brien SJ. The influence of HLA genotype on AIDS. Annu Rev Med. 2003;54:535-551.
10. Hendrickson SL, Jacobson LP, Nelson GW, et al. Host genetic influences on highly active antiretroviral therapy efficacy and AIDS-free survival. J Acquir Immune Defic Syndr. 2008;48:263-271.
11. O'Brien SJ, Nelson GW. Human genes that limit AIDS. Nat Genet. 2004;36:565-574.
12. O'Brien TR, McDermott DH, Ioannidis JP, et al. Effect of chemokine receptor gene polymorphisms on the response to potent antiretroviral therapy. AIDS. 2000;14:821-826.
13. Lin XH, Kashima Y, Khan M, et al. An immunohistochemical study of TNF-alpha in optic nerves from AIDS patients. Curr Eye Res. 1997;16:1064-1068.
14. Madigan MC, Sadun AA, Rao NS, et al. Tumor necrosis factor-alpha (TNF-alpha)-induced optic neuropathy in rabbits. Neurol Res. 1996;18:176-184.
15. Petrovich MS, Hsu HY, Gu X, et al. Pentoxifylline suppression of TNF-alpha mediated axonal degeneration in the rabbit optic nerve. Neurol Res. 1997;19:551-554.
16. Saadati HG, Khan IA, Lin XH, et al. Immunolocalization of IL-1beta and IL-6 in optic nerves of patients with AIDS. Curr Eye Res. 1999;19:264-268.
17. Ho AS, Moore KW. Interleukin-10 and its receptor. Ther Immunol. 1994;1:173-185.
18. Moore KW, de Waal Malefyt R, Coffman RL, et al. Interleukin-10 and the interleukin-10 receptor. Annu Rev Immunol. 2001;19:683-765.
19. Gasche C, Grundtner P, Zwirn P, et al. Novel variants of the IL-10 receptor 1 affect inhibition of monocyte TNF-alpha production. J Immunol. 2003;170:5578-5582.
20. Grundtner P, Gruber S, Murray SS, et al. The IL-10R1 S138G loss-of-function allele and ulcerative colitis. Genes Immun. 2009;10:84-92.
21. Crawley E, Kay R, Sillibourne J, et al. Polymorphic haplotypes of the interleukin-10 5' flanking region determine variable interleukin-10 transcription and are associated with particular phenotypes of juvenile rheumatoid arthritis. Arthritis Rheum. 1999;42:1101-1108.
22. Mormann M, Rieth H, Hua TD, et al. Mosaics of gene variations in the Interleukin-10 gene promoter affect interleukin-10 production depending on the stimulation used. Genes Immun. 2004;5:246-255.
23. Shin HD, Winkler C, Stephens JC, et al. Genetic restriction of HIV-1 pathogenesis to AIDS by promoter alleles of IL10. Proc Natl Acad Sci U S A. 2000;97:14467-14472.
24. Turner DM, Williams DM, Sankaran D, et al. An investigation of polymorphism in the interleukin-10 gene promoter. Eur J Immunogenet. 1997;24:1-8.
25. Barrett JC, Fry B, Maller J, et al. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21:263-265.
26. Martin MP, Dean M, Smith MW, et al. Genetic acceleration of AIDS progression by a promoter variant of CCR5. Science. 1998;282:1907-1911.
27. Liu H, Chao D, Nakayama EE, et al. Polymorphism in RANTES chemokine promoter affects HIV-1 disease progression. Proc Natl Acad Sci U S A. 1999;96:4581-4585.
28. Tarwater PM, Mellors J, Gore ME, et al. Methods to assess population effectiveness of therapies in human immunodeficiency virus incident and prevalent cohorts. Am J Epidemiol. 2001;154:675-681.
29. Gibson AW, Edberg JC, Wu J, et al. Novel single nucleotide polymorphisms in the distal IL-10 promoter affect IL-10 production and enhance the risk of systemic lupus erythematosus. J Immunol. 2001;166:3915-3922.
30. Dumont FJ. Therapeutic potential of IL-10 and its viral homologues: an update. Expert Opinion on Therapeutic Patents. 2003;13:1551-1577.
31. Vasilescu A, Heath SC, Ivanova R, et al. Genomic analysis of Th1-Th2 cytokine genes in an AIDS cohort: identification of IL4 and IL10 haplotypes associated with the disease progression. Genes Immun. 2003;4:441-449.
32. Oleksyk TK, Shrestha S, Truelove AL, et al. Extended IL10 haplotypes and their association with HIV progression to AIDS. Genes Immun. 2009;10:309-322.
33. Berger EA, Murphy PM, Farber JM. Chemokine receptors as HIV-1 coreceptors: roles in viral entry, tropism, and disease. Annu Rev Immunol. 1999;17:657-700.
34. Cocchi F, DeVico AL, Garzino-Demo A, et al. Identification of RANTES, MIP-1 alpha, and MIP-1 beta as the major HIV-suppressive factors produced by CD8+ T cells. Science. 1995;270:1811-1815.
35. Gonzalez E, Dhanda R, Bamshad M, et al. Global survey of genetic variation in CCR5, RANTES, and MIP-1alpha: impact on the epidemiology of the HIV-1 pandemic. Proc Natl Acad Sci U S A. 2001;98:5199-5204.
36. McDermott DH, Beecroft MJ, Kleeberger CA, et al. Chemokine RANTES promoter polymorphism affects risk of both HIV infection and disease progression in the Multicenter AIDS Cohort Study. AIDS. 2000;14:2671-2678.
37. Trkola A, Gordon C, Matthews J, et al. The CC-chemokine RANTES increases the attachment of human immunodeficiency virus type 1 to target cells via glycosaminoglycans and also activates a signal transduction pathway that enhances viral infectivity. J Virol. 1999;73:6370-6379.
38. Garcia-Moruja C, Rueda P, Torres C, et al. Molecular phenotype of CXCL12beta 3'UTR G801A polymorphism (rs1801157) associated to HIV-1 disease progression. Curr HIV Res. 2009;7:384-389.
39. Tiensiwakul P. Stromal cell-derived factor (SDF) 1-3'A polymorphism may play a role in resistance to HIV-1 infection in seronegative high-risk Thais. Intervirology. 2004;47:87-92.
40. Brambilla A, Villa C, Rizzardi G, et al. Shorter survival of SDF1-3'A/3'A homozygotes linked to CD4+ T cell decrease in advanced human immunodeficiency virus type 1 infection. J Infect Dis. 2000;182:311-315.
41. Puissant B, Roubinet F, Massip P, et al. Analysis of CCR5, CCR2, CX3CR1, and SDF1 polymorphisms in HIV-positive treated patients: impact on response to HAART and on peripheral T lymphocyte counts. AIDS Res Hum Retroviruses. 2006;22:153-162.
42. Winkler C, Modi W, Smith MW, et al. Genetic restriction of AIDS pathogenesis by an SDF-1 chemokine gene variant. ALIVE Study, Hemophilia Growth and Development Study (HGDS), Multicenter AIDS Cohort Study (MACS), Multicenter Hemophilia Cohort Study (MHCS), San Francisco City Cohort (SFCC). Science. 1998;279:389-393.
43. Bogner JR, Lutz B, Klein HG, et al. Association of highly active antiretroviral therapy failure with chemokine receptor 5 wild type. HIV Med. 2004;5:264-272.
44. Wit FW, van Rij RP, Weverling GJ, et al. CC chemokine receptor 5 delta32 and CC chemokine receptor 2 64I polymorphisms do not influence the virologic and immunologic response to antiretroviral combination therapy in human immunodeficiency virus type 1-infected patients. J Infect Dis. 2002;186:1726-1732.
45. Yamashita TE, Phair JP, Munoz A, et al. Immunologic and virologic response to highly active antiretroviral therapy in the Multicenter AIDS Cohort Study. AIDS. 2001;15:735-746.
46. Lathey JL, Tierney C, Chang SY, et al. Associations of CCR5, CCR2, and stromal cell-derived factor 1 genotypes with human immunodeficiency virus disease progression in patients receiving nucleoside therapy. J Infect Dis. 2001;184:1402-1411.
47. Scaravilli F, Bazille C, Gray F. Neuropathologic contributions to understanding AIDS and the central nervous system. Brain Pathol. 2007;17:197-208.
48. Levy RM, Bredesen DE, Rosenblum ML. Neurological manifestations of the acquired immunodeficiency syndrome (AIDS): experience at UCSF and review of the literature. J Neurosurg. 1985;62:475-495.
49. Tenhula WN, Xu SZ, Madigan MC, et al. Morphometric comparisons of optic nerve axon loss in acquired immunodeficiency syndrome. Am J Ophthalmol. 1992;113:14-20.
50. Kaul M, Lipton SA. Mechanisms of neuroimmunity and neurodegeneration associated with HIV-1 infection and AIDS. J Neuroimmune Pharmacol. 2006;1:138-151.
51. Kaul M, Garden GA, Lipton SA. Pathways to neuronal injury and apoptosis in HIV-associated dementia. Nature. 2001;410:988-994.
52. Bruce-Keller AJ, Chauhan A, Dimayuga FO, et al. Synaptic transport of human immunodeficiency virus-Tat protein causes neurotoxicity and gliosis in rat brain. J Neurosci. 2003;23:8417-8422.
53. Li W, Galey D, Mattson MP, et al. Molecular and cellular mechanisms of neuronal cell death in HIV dementia. Neurotox Res. 2005;8:119-134.
54. Asensio VC, Campbell IL. Chemokines in the CNS: plurifunctional mediators in diverse states. Trends Neurosci. 1999;22:504-512.
55. Miller RJ, Meucci O. AIDS and the brain: is there a chemokine connection? Trends Neurosci. 1999;22:471-479.
56. Hesselgesser J, Taub D, Baskar P, et al. Neuronal apoptosis induced by HIV-1 gp120 and the chemokine SDF-1 alpha is mediated by the chemokine receptor CXCR4. Curr Biol. 1998;8:595-598.
57. Kaul M, Lipton SA. Chemokines and activated macrophages in HIV gp120-induced neuronal apoptosis. Proc Natl Acad Sci U S A. 1999;96:8212-8216.

AIDS; HIV-1; host genetics; HIV-neuroretinal disorder

Supplemental Digital Content

© 2010 Lippincott Williams & Wilkins, Inc.