Risk for HIV-1 Infection Associated With a Common CXCL12 (SDF1) Polymorphism and CXCR4 Variation in an African Population (original) (raw)

. Author manuscript; available in PMC: 2006 Feb 16.

Summary

CXC chemokine ligand 12 (CXCL12), or stromal cell–derived factor 1 (SDF1), is the only known natural ligand for the HIV-1 coreceptor, CXC chemokine receptor 4 (CXCR4). A single nucleotide polymorphism (SNP) in the CXCL12 gene (_SDF1_-3′A) has been associated with disease progression to AIDS in some studies, but not others. Mutations in the CXCR4 gene are generally rare and have not been implicated in HIV-1/AIDS pathogenesis. This study analyzed the _SDF1_-3′A SNP and performed mutation screening for polymorphic markers in the CXCR4 gene to determine the presence or absence of significant associations with susceptibility to HIV-1 infection. The study consisted of 257 HIV-1–seropositive patients and 113 HIV-1–seronegative controls representing a sub-Saharan African population belonging to the Xhosa ethnic group of South Africa. The _SDF1-_3′A SNP was associated with an increased risk for HIV-1 infection (P = 0.0319) whereas no significant association was observed between the occurrence of the _SDF1-_3′A SNP and increased or decreased plasma levels of CXCL12. Comprehensive mutation analysis of the CXCR4 gene confirmed a high degree of genetic conservation within the coding region of this ancient population.

Keywords: CXC chemokine ligand 12 (CXCL12), CXC chemokine receptor 4 (CXCR4), _SDF1_-3′A single-nucleotide polymorphism, HIV-1 infection risk, African population

The role of specific chemokines acting as inhibitors of HIV-1 infection and also possibly influencing viral replication1 was highlighted by the discovery that chemokines are natural ligands for chemokine receptors. These chemokine receptors, together with the CD4 molecule, serve as necessary cofactors for HIV-1 entry.2–5 The CXC chemokine ligand 12 (CXCL12), known more commonly as stromal cell–derived factor 1 (SDF1), inhibits infection of T cell line–tropic (T-tropic) or syncytium-inducing viruses normally found during late-stage HIV disease6,7 by downregulating the surface expression of the HIV-1 coreceptor, CXC chemokine receptor 4 (CXCR4).8,9 The demonstration that mice deficient for either CXCL12 or CXCR4 die perinatally10 further promoted the understanding of this ligand–receptor interaction, which appears to be vital in physiological processes.

It has been found that the CXCL12 gene, previously known as SDF1 or PBSF (MIM# 600835), is located at band q11 on chromosome 10 and encodes for 2 isoforms, CXCL12α and CXCL12β, which are the result of alternative splicing of a single gene.11–13 The coding regions for _CXCL12_α and _CXCL12_β are composed of 3 and 4 exons, respectively. The _CXCL12_β gene transcript has an extra exon that encodes for 4 additional amino acids.13 The CXCR4 gene, also known as NPY3R, FUSIN, and LESTR (MIM# 162643), is located at band q21 on chromosome 214,15 and consists of an intron separating 2 exons in which lies the open reading frame.16,17

A single-nucleotide polymorphism (SNP), designated _SDF1-_3′UTR-801G > A and abbreviated _SDF1-_3′A (rs1801157), was identified in the 3′ untranslated region (3′UTR) of the _CXCL12_β gene transcript and involves a G-to-A transition at nucleotide position +801 relative to the start codon.18 Although the SNP in the recessive state was initially associated with delayed onset of AIDS,18,19 other studies suggested an association with accelerated progression to death20,21; prolonged21 or decreased22 survival after AIDS diagnosis; or no effect on disease progression.23–25 An African study showed an association between the SNP in the heterozygous state and increased vertical transmission from mother to child,26 whereas an association with rapid disease progression and the SNP occurring heterozygously was observed in HIV-1–infected children born to seropositive mothers.27 Recently, the SNP has been found to play a role in resistance to HIV-1 infection in seronegative high-risk individuals,28 although this association was absent in a study involving repeatedly exposed HIV-1–seronegative subjects.29 Studies investigating plasma CXCL12 protein levels in HIV-1–seropositive patients, exposed high-risk HIV-1–seronegative individuals, and healthy HIV-1–seronegative controls28,30–34 with consideration of _SDF1-_3′A genotypes32,33 have also reported inconsistent associations.

Previous studies investigating the role of CXCR4 in host susceptibility to HIV-1/AIDS in white and African American populations have shown a relatively low occurrence of CXCR4 mutations, and therefore their significance is unclear.35–37 The CXCR4 genetic variants reported include silent mutations, _CXCR4-_I261I35 and _CXCR4-_K68K, and a nonconservative mutation, _CXCR4-_F93S.36 Both the _CXCR4-_K68K and _CXCR4-_F93S mutations were further considered for their possible influence on HIV-1 entry, with the results being comparable to what was found for wild-type CXCR4.36 Recently, mutations in the cytoplasmic tail domain of CXCR4 were identified as being causative for WHIM syndrome, an immunodeficiency disorder characterized by warts, hypogammaglobulinemia, infections, and myelokathexis.38 These mutations, however, are familial and rare.

Controversy with regards to the role of _CXCL12 (SDF1-_3′A SNP) and CXCR4 mutations in HIV-1/AIDS pathogenesis has accentuated the need for additional studies within ethnically distinct populations. In this study we genotyped the _SDF1-_3′A SNP and performed comprehensive mutational analysis of the CXCR4 coding region. Plasma CXCL12 levels were measured to assess possible functional correlation between the _SDF1-_3′A SNP and protein levels. Our results indicate the importance of investigating the genetic basis for HIV-1/AIDS within specific ethnic groups, particularly populations from understudied, pandemic-stricken sub-Saharan Africa.

MATERIALS AND METHODS

Study Population

The population group represented in this study is sub-Saharan Africans, defined as individuals of Xhosa descent all residing in the Western Cape Province of South Africa. According to recent consensus, the South African population is 79% African, with the Xhosa ethnic group forming approximately 22% of the total African population and 90% of the African population residing in the Western Cape (Statistics South Africa, 2001; www.statssa.gov.za, accessed August 28, 2005). The Xhosa are from the early clan of the Nguni, the most southern group of Bantu migrants from central Africa. The HIV-1–seropositive individuals were patients of Tygerberg Hospital, Woodstock Chapel Street Community Health Clinic, or the Langa Clinic, which at the time of DNA extraction totaled 1035 ethnically diverse patients, as previously described.39 Individuals were included in this study if they were from Xhosa descent and blood was available for DNA extraction. The HIV-1–seronegative controls were population-matched blood donors from the Western Province Blood Transfusion Service. The only criteria for exclusion was a positive HIV-1 status. Disease progression for most of the HIV-positive patients remains unknown and was therefore not assessed in this study. Informed consent was obtained from all the study participants and the Ethics Review Committee of the University of Stellenbosch approved the study protocol (#98/158). The sample size for genotyping the _SDF1_-3′A SNP consisted of 257 HIV-positive (66% female, 34% male) and 113 HIV-negative (62% female, 38% male) individuals. CXCL12 protein levels were determined for samples when plasma was available (131 HIV positive, 63 HIV negative). Comprehensive mutational analysis of the entire coding region of CXCR4 gene was performed on 57 HIV-positive and 39 HIV-negative Xhosas. An additional 30 HIV-positive and 22 HIV-negative samples were further screened to determine allele frequencies of identified mutations.

Genetic Analysis

Genotyping

Genomic DNA was extracted from whole blood and genotyped in a blinded manner. Two methods were used to genotype the _SDF1-_3′A SNP due to availability of technologies at the time. To confirm genotyping specificity of the 2 methods, 155 samples were genotyped using both methods. The first utilized denaturing gradient gel electrophoresis (DGGE).40 A single DGGE primer set, including a GC-clamp (GC-rich fragment) on the 5′ end of the reverse primer, was designed for partial analysis of the 3′UTR of the _CXCL12_β gene transcript: 5′-GTGAAGGCTTCTCTCTGTGG-3′ and 5′-[40GC]GTGGACACACATGATGATGG-3′. Amplification and heteroduplexing were performed as described below (mutation detection) using an annealing temperature of 56°C. Amplified polymerase chain reaction (PCR) products were electrophoresed in a 9% polyacrylamide gel with a denaturing gradient of 45%–85% urea and formamide (100% UF = 7 M urea per 40% deionized formamide), at 60°C for 110 V overnight, using the Ingeny phorU-2 system (Ingeny, Goes, The Netherlands; www.ingeny.com). The 5′ nuclease or TaqMan allelic discrimination method41 was also used for genotyping the _SDF1-_3′A SNP using the following primers: 5′-CAAAGCCTAGTGAAGGCTTCTCTC-3′ and 5′-TCAGGGTAGCCCTGCTGC3′; and probes: 5′-FAM-TGGGAGCCGGGTCTGCCTCT-TAMRA-3′ and 5′-VIC-ACATGGAGCCAGGTCTGCCTCTT-TAMRA-3′. PCR reactions each containing 5 ng of DNA and TaqMan Universal PCR Master Mix (Applied Biosystems, Foster City, CA) were used for amplification (detailed PCR reaction mix protocol available on request) with the cycling conditions including a initial denaturation of 95°C for 10 minutes, followed by 50 cycles of denaturation at 95°C for 15 seconds and annealing at 58°C for 1 minute. Allele discrimination and genotype determination were based on the endpoint fluorescence measured by the ABI7900 high-throughput sequence detection system (Applied Biosystems). A total of 199 and 326 samples were genotyped using DGGE and TaqMan allelic discrimination, respectively.

Mutation Detection

DGGE primers were designed for the entire coding region, including the intron/exon boundaries of the CXCR4 gene. The CXCR4 coding region within exon 1 (codons 1–5) and exon 2 (codons 6–352) was divided into 7 overlapping amplicons (A–G) (Table 1). Each PCR reaction contained 50 ng of DNA (detailed PCR reaction mixture protocol available on request) and amplification was performed using a 9600 thermocycyler (Applied Biosystems). PCR cycling conditions included an initial denaturation at 96°C for 3 minutes, followed by 32 cycles of denaturation at 96°C for 45 seconds, annealing for 1 minute (annealing temperatures are shown in Table 1), and elongation at 72°C for 1 minute, 20 seconds. Following the last cycle was an additional extension step of 72°C for 7 minutes. For heteroduplex formation, the PCR products were subjected to denaturation at 96°C for 10 minutes, followed by renaturation for 45 minutes at 56°C. Electrophoresis was used to check the amplified products, where 10% of each sample was resolved on 2% agarose gel. Optimal DGGE analysis was achieved using previously described conditions for broad-range mutation detection by DGGE.42 Amplified PCR products were electrophoresed in a 9% polyacrylamide gel with a denaturing gradient of 30%–75% UF, at 60°C for 110 V overnight. The 7 amplicons for CXCR4 were electrophoresed in 5 lanes (fragments B and E; fragments C and G were pooled) and allowed for the complete analysis of 6 patients per denaturing gel. The gels were stained with ethidium bromide and photographed under an ultraviolet transilluminator. Samples showing aberrant DGGE banding patterns were purified using the high pure PCR product purification kit from Roche Diagnostics (Mannheim, Germany) and subjected to automated sequencing using the non-GC-clamped primer and the dye terminator sequencing kit (Applied Biosystems; www.appliedbiosystems.com).

TABLE 1.

CXCR4 Primer Sets and Experimental Conditions for PCR Amplification and DGGE

Temperature (°C)
Fragment Forward Amplimer, 5′-3′ Reverse Amplimer, 5′-3′ Size (bp) Melting Annealing
A CTCCAGTAGCCACCGCATCT [40GC]GCTGCGCTCTAAGTTCAAACG 154 73 62
B [40GC]GAATGTCCATTCCTTTGCCTCT GCCTGTACTTGTCCGTCATGC 286 73 60
C [40GC]CCACCATCTACTCCATCATC AGACGCCAACATAGACCAC 397 66 55
D CACGCCACCAACAGTCAGA [40GC]AGCAGGACAGGATGACAATACC 278 71 60
E [40GC]CAGTTTCAGCACATCATGGT AGGATGAGGATGACTGTGGT 180 66 55
F CATCTCCAAGCTGTCACACT [40GC]TTACATCTGTGTTAGCTGGAGT 445 66 54
G TCCACTGAGTCTGAGTCTTCAA [40GC]TCCTGCCTAGACACACATCA 282 67 54

Determining Plasma CXCL12 Protein Levels by ELISA

Plasma was isolated by centrifugation of ethylenediamine tetra-acetic acid–anticoagulated blood samples at 2000 rpm for 10 minutes. Plasma samples were stored at −80°C before being thawed for analysis. A CXCL12 enzyme-linked immunosorbent assay (ELISA) was developed using commercial monoclonal antibodies (R&D systems, Minneapolis, MN) according to manufacturer’s recommendations. Flat-bottom 96-well microtiter plates with high-binding capacity (Nunc Maxisorp, Nunc, Denmark) were coated with capture antibody (mouse antihuman CXCL12) prior to the addition of plasma samples. Biotinylated mouse antihuman CXCL12β was used as detection antibody. Recombinant human CXCL12β was included as a standard. Each sample was run in duplicate and the mean concentration (pg/mL) of plasma CXCL12 protein was determined from the standard curve using ELISA software (Bio-Tek KC4, Bio-Tek Instruments, Winooski, VT).

Statistical Analysis

The allele and genotype distributions, including Hardy–Weinberg equilibrium estimations, were calculated. Testing of HIV-1–seropositive vs. HIV-1–seronegative subjects for significance of heterogeneity in allele and genotype frequencies was based on the 2-sided Fisher exact test for 2 × 2 contingency tables and the χ2 test for independence, respectively. The Mann–Whitney U test was used to compare mean plasma CXCL12 protein levels between the case and control groups (GraphPad Software, Inc., San Diego, CA, and SAS Institute, Inc., Cary, NC).

RESULTS

Analysis of the _SDF1_-3′A SNP

The commonly reported _SDF1-_3′A SNP was detected using gel-based DGGE and a TaqMan allelic discrimination assay (Table 2). The 100% concordance observed for 155 samples screened with both methods reflects the reliability of the 2 _SDF1-_3′A SNP assays for generating valid and reproducible results. The presence of the SNP in the Xhosa population was observed at a significantly higher allelic frequency in the HIV-1–seropositive patients (0.037; 19/514) compared with their uninfected counterparts (0.009; 2/226), with a P value of 0.0319. No significance was found for the independent genotype analysis (P = 0.1191); however, a significant association between the presence of the A allele (AA and GA) and HIV-1 infection was observed (P = 0.0454). There was no significant deviation from the expected Hardy–Weinberg equilibrium in either the cases or controls. There were no significant associations between specific CXCL12 plasma levels between _SDF1-_3′A genotype among cases and controls.

TABLE 2.

Allele and Genotype Distribution of the _SDF1_-3′G > A SNP in 257 HIV-1–Infected Cases vs. 113 HIV-1–Seronegative Controls From the Xhosa Population

SNP HIV+ (%) (n = 257) HIV− (%) (n = 113) Pvalue*
_SDF1_-3′G > A
G 495 (96.3) 224 (99.1) 0.0319
A 19 (3.7) 2 (0.9)
GG 239 (93) 111 (98.2) 0.1191
GA 17 (6.6) 2 (1.8)
AA 1 (0.4) 0
_P_HWE = 0.26 _P_HWE = 0.92

Analysis of CXCR4 and Identification of Mutations

We identified 1 previously known and 3 novel mutations in the CXCR4 gene. The previously found silent mutation occurs in the coding region at codon 138 (rs2228014). The _CXCR4_-I138I mutation was detected using the amplicon C primers set and was observed in 1 HIV-1–seropositive patient and 1 HIV-1–seronegative control. The 3 novel mutations found in the 3′UTR at nucleotide positions +29 (G > A), +34 (A > T), and +46 (deletion T), relative to the stop codon, were all identified using the primer set for amplicon G. Further screening in additional samples resulted in the novel mutations occurring at allele frequencies ranging from 0.008–0.011 in the Xhosa population. No associations were found with susceptibility to HIV-1 infection or disease progression to AIDS.

DISCUSSION

Our study focused on the analysis of the _SDF1-_3′A SNP and the CXCR4 gene within the Xhosa ethnic group from South Africa. The importance of determining population-specific genetic variants influencing HIV-1 susceptibility in the understudied African populations is evident.43 A previous study by Ramaley et al44 suggested that caution should be used when considering an association observed in one population to be present in another and showed that the CCR5 alleles previously identified and significantly associated with influencing susceptibility to HIV-1/AIDS in white populations did not have the same effect in Africans. We have previously screened for the well-documented _CCR5_-Δ32 HIV-1/AIDS resistance-associated mutation and found it to be completely absent in the Xhosa population.45 Although genetic markers may vary in frequency across populations, a recent study has suggested that their biologic impact on the risk for the disease may usually be consistent across traditional ‘‘racial’’ boundaries.46 In the ancient Xhosa population, these functional genetic markers may, as yet, not have been identified in the majority of studies that have focused on younger populations.

Although the allele frequency observed for the _SDF1-_3′A SNP in our Xhosa group (0.028) is within the range previously reported for African populations,18,20,47,48 it is slightly higher than that reported in another South African study (0.010).47 The study participants reported by Williamson et al47 resided in the Free State Province of South Africa and are predominantly of Sotho ethnic descent, which could explain this bias in allele frequencies.

The _SDF1_-3′A SNP analysis resulted in an association being observed between the presence of the A allele and an increased rate of infection both at the level of allele frequency (P = 0.0319) and A allele carriage frequency (P = 0.0454), although significance was not found for independent genotype analysis. Previous studies focusing on predominantly white populations have not reported similar findings but rather found associations with disease progression to AIDS. An association with the _SDF1-_3′A SNP occurring heterozygously and increased vertical transmission from mother to child was, however, previously reported in Africans.26 Controversies in genetic association studies have been significantly addressed in the literature, with the most compelling shortcoming of this study being the relatively small study numbers, which could result in possible bias. Therefore, these findings require independent elucidation.

Plasma CXCL12 protein levels were not significantly different between the wild-type and the _SDF1-_3′A SNP within cases and controls. Due to the relatively small sample number (as well as lack of homozygous individuals) in the study population, we determined the CXCL12 protein levels in an additional 48 HIV-seronegative (27 wild-type, 15 heterozygous, and 6 AA homozygous) white samples (data not shown) but also found no significant association. Our findings require further investigation with larger sample numbers and replication in other cohorts supporting the effect of the SNP in ligand expression. This may, however, be limited by the low occurrence of homozygotes in the Xhosa population. An advantage of our study was the use of the recombinant human CXCL12β for the ELISA assay as opposed to recombinant human CXCL12α used in other studies in which associations were reported. The latter studies included low plasma CXCL12 levels found in uninfected persons homozygous for the _SDF1-_3′A SNP33 and a significant increase in CXCL12 levels being observed in the HIV-1–seropositive individuals when compared with the HIV-1–seronegative control group.34

The identification of 3 novel genetic variants within the 3′UTR of CXCR4, a potential regulatory region, could have an effect on the expression or functioning of the protein. CXCR4 serves as the coreceptor for T-tropic or syncytium-inducing viruses normally emerging during late-stage HIV disease,5 and thus a possible effect of mutations occurring in CXCR4 is more likely to be seen if they influence disease progression rather than susceptibility to HIV-1 infection. We screened an additional 51 white control subjects (data not shown), which excluded the presence of the 3 novel CXCR4 mutations. Therefore, although no associations could be made, we can conclude that these novel variants are exclusive to the African population.

Controversy exists in the literature between the association of the _SDF1-_3′A SNP and HIV-1 infection or disease progression to AIDS. It was recently reported that other polymorphisms in linkage disequilibrium with the _SDF1-_3′A SNP, rather than the SNP itself, are responsible for altered levels of SDF1 transcripts. The inconsistent findings for the _SDF1-_3′A SNP among various populations may therefore be attributed to different haplotype structures, including or excluding functional variants, for specific ethnic groups.49 In this study, we found an association between the presence of the _SDF1-_3′A SNP and risk for HIV-1 infection in a sub-Saharan African population. Our results emphasize the need for investigating HIV-1/AIDS candidate genes in many diverse ethnic groups, particularly in the populations most affected by the HIV-1/AIDS pandemic. Although this study focused on a relatively small number of individuals, its findings contribute to the growing evidence that the presence and effects of genetic variants in the understudied African populations are important when predicting host susceptibility to HIV-1/AIDS within sub-Saharan Africa.

Acknowledgments

The authors thank Lehana Breytenbach for sample collection and maintenance of the HIV database; Heather Money for the coordination of blood specimens from the Western Province Blood Transfusion Service; all clinicians and nursing staff at the HIV clinics and blood transfusion services of the Western Cape; and the study participants.

Footnotes

Supported by the South African AIDS Vaccine Initiative, the Poliomyelitis Research Foundation, the Medical Research Council, and Unistel Medical Laboratories, Cape Town, South Africa. This research was supported in part with federal funds from the National Cancer Institute, National Institutes of Health (NIH) (contract no. NO1-CO-12400), and by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research, Frederick, MD. VMH is a Cancer Institute New South Wales Fellow, Australia.

References