|Influence of intragenic CCL3 haplotypes and CCL3L copy number in HIV-1 infection in a sub-Saharan African population.|
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|PMID: 23151487 Owner: NLM Status: MEDLINE|
|Two CCL3 haplotypes (HapA1 and Hap-A3) and two polymorphic positions shared by the haplotypes (Hap-2SNP (single nucleotide polymorphism)) were investigated together with CCL3L copy number (CN), for their role in HIV-1 disease. Hap-A1 was associated with protection from in utero HIV-1 infection: exposed uninfected (EU) infants had higher representation of wild type (WT)/Hap-A1 than infected infants (excluding intrapartum (IP)-infected infants), which maintained significance post maternal Nevirapine (mNVP) and viral load (MVL) correction (P=0.04; odds ratio (OR)=0.33). Mother-infant pair analyses showed the protective effect of Hap-A1 is dependent on its presence in the infant. Hap-A3 was associated with increased IP transmission: WT/Hap-A3 was increased in IP-transmitting vs non-transmitting (NT) mothers, and remained significant post mNVP and MVL correction (P=0.02; OR=3.50). This deleterious effect of Hap-A3 seemed dependent on its presence in the mother. Hap-2SNP was associated with lower CD4 count in the NT mothers (P=0.03). CCL3 Hap-A1 was associated with high CCL3L CN in total (P=0.001) and EU infants (P=0.006); the effect was not additive, however, having either Hap-A1 or high CCL3L CN was more significantly (P=0.0008) associated with protection from in utero infection than Hap-A1 (P=0.028) or high CCL3L CN (P=0.002) alone. Linkage disequilibrium between Hap-A1 and high CCL3L CN appears unlikely given that a Nigerian population showed an opposite relationship.|
|M Paximadis; D B Schramm; G E Gray; G Sherman; A Coovadia; L Kuhn; C T Tiemessen|
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|Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't Date: 2012-11-15|
|Title: Genes and immunity Volume: 14 ISSN: 1476-5470 ISO Abbreviation: Genes Immun. Publication Date: 2013 Jan|
|Created Date: 2013-01-24 Completed Date: 2013-06-27 Revised Date: 2013-07-11|
Medline Journal Info:
|Nlm Unique ID: 100953417 Medline TA: Genes Immun Country: England|
|Languages: eng Pagination: 42-51 Citation Subset: IM|
|Centre for HIV and STIs: Cell Biology, National Institute for Communicable Diseases, National Health Laboratory Services, Johannesburg, South Africa. email@example.com|
|APA/MLA Format Download EndNote Download BibTex|
Africa South of the Sahara
Anti-HIV Agents / therapeutic use
Antigens, CD4 / blood
Chemokine CCL3 / genetics*
Genetic Predisposition to Disease
HIV Infections / drug therapy, genetics*, transmission*, virology
Infectious Disease Transmission, Vertical
Nevirapine / therapeutic use
Polymorphism, Single Nucleotide
|076352//Wellcome Trust; 076352/Z/05/Z//Wellcome Trust; HD 36177/HD/NICHD NIH HHS; HD 42402/HD/NICHD NIH HHS; R01 HD036177/HD/NICHD NIH HHS; R01 HD042402/HD/NICHD NIH HHS|
|0/Anti-HIV Agents; 0/Antigens, CD4; 0/CCL3 protein, human; 0/Chemokine CCL3; 129618-40-2/Nevirapine|
Journal ID (nlm-journal-id): 100953417
Journal ID (pubmed-jr-id): 21482
Journal ID (nlm-ta): Genes Immun
Journal ID (iso-abbrev): Genes Immun.
nihms-submitted publication date: Day: 24 Month: 10 Year: 2012
Electronic publication date: Day: 15 Month: 11 Year: 2012
Print publication date: Month: 1 Year: 2013
pmc-release publication date: Day: 01 Month: 7 Year: 2013
Volume: 14 Issue: 1
First Page: 42 Last Page: 51
PubMed Id: 23151487
|Influence of intragenic CCL3 haplotypes and CCL3L copy number in HIV-1 infection in a sub-Saharan African population|
|Diana B Schramm12|
|Glenda E. Gray3|
|Caroline T. Tiemessen12|
1Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Services, Johannesburg, South Africa.
2Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
3Perinatal HIV Research Unit, Chris Hani Baragwanath Hospital, Soweto, South Africa.
4Department of Molecular Medicine and Haematology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
5National Health Laboratory Services, Johannesburg, South Africa.
6Empilweni Clinic, Coronation Women and Children Hospital, Enhancing Childhood HIV Outcomes (ECHO), University of the Witwatersrand, Johannesburg, South Africa.
7Gertrude H. Sergievsky Centre, College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York.
Chemokines are a large superfamily of low-molecular-weight (approximately 8-15 kDa), structurally related cytokines that mediate their biological functions through recruitment of cells bearing seven-transmembrane G-protein-coupled receptors, as part of homeostatic immune cell-trafficking or during inflammatory responses. Most chemokines can be divided into two major subgroups on the basis of the arrangement of the two N-terminal cysteine residues, depending on whether the first two residues are adjacent (CC) or have an amino acid between them (CXC) (see review 1). Three CC chemokines, namely CCL3 (formerly MIP-1α), CCL4 (formerly MIP-1β) and CCL5 (formerly RANTES), were shown to demonstrate HIV-1 suppressor activity early on 2, which was later attributed to their binding to the CCR5 receptor 3, the co-receptor R5 strains of HIV-1 use to gain entry into target cells. These chemokines have been shown in vitro to inhibit HIV-1 entry by competing with viral Env protein for binding 4-5 as well as by down-regulation of CCR5 surface expression 6; however whether these chemokines play a similar role in vivo is largely unknown. A number of genetic association studies suggest a role for these and other chemokines in HIV-1 infection (see review 7). Of interest in this study is CCL3, which is encoded by two functional genes, namely CCL3 and CCL3La and in addition to these two genes, a third ‘pseudogene’ (CCL3Lb) has been described 8-9 which has been recently reported to have novel 5′ exons giving rise to alternatively transcribed mRNA species 10. CCL3 is present as two copies per diploid genome (pdg), whereas CCL3La and CCL3Lb (collectively termed CCL3L) have been shown to exist in variable copies pdg, 8-9, 11-12. These three genes have all been mapped to a narrow region on human chromosome 17.
The two isoforms of CCL3, namely CCL3 and CCL3La, differ by only three amino acids, yet CCL3La has been shown to be 30-fold more potent at inhibiting R5 HIV-1 infection compared to the CCL3 isoform 13-14. CCL3L copy number variation (CNV) and its role in HIV-1 infection has been the focus of a number of studies, however not all studies agree to a role for CCL3L CNV. In a meta-analysis of nine published studies, recently conducted by Liu et al. 15, lower CCL3L copy number was associated with higher risk of HIV-1 infection when one takes into account the specific population since different populations differ with respect to CCL3L copy number means. Although in vitro studies show CCL3 to be less potent than CCL3La at R5 HIV-1 inhibition, there have been reports of single nucleotide polymorphisms (SNPs) and haplotypes within CCL3 impacting on both HIV-1 susceptibility as well as disease progression 16-18. Interestingly, all these studies involve polymorphisms within various haplotypes that we believe are all part of larger haplotypes that we have described in South African Africans and Caucasians in an earlier study 19. There are certain advantages to studying the role of haplotypes rather than a one-SNP-at-a-time approach in candidate genes studies, firstly, the proteins produced by an individual’s genes occur in two polypeptide chains that correspond to maternal and paternal haplotypes and their folding as well as other properties are likely to be dependent on the arrangement of particular amino acid combinations 20. Variation in a population tends to be “structured into haplotypes that are likely to be transmitted as a unit” 20. Also, ethnically divergent population groups differ considerably regarding their haplotypic structures and select SNPs can ‘tag’ more than one haplotype.
In a recent study conducted on serodiscordant Zambian couples, two CCL3 SNPs, namely rs5029410 (3′ UTR) and rs34171309 (exon 3), were found to be significantly associated with lower viral load and increased risk of HIV-1 acquisition, respectively 21. The role of CCL3 genetic variation in mother-to-child-transmission (MTCT) of HIV-1 has not been investigated, thus in this study we investigated the role of three CCL3 haplotypes (one encompassing the exon 3 rs34171309 SNP), previously identified in our South African African (SAA) individuals 19, for their role in MTCT HIV-1 transmission and in HIV-1 disease progression. In addition, the combined effect of CCL3 haplotypes and CCL3L copy number was evaluated.
A total of 314 HIV-1 infected South African African (SAA) mothers and their infants (and 4 additional unmatched infants i.e. 318 infants), recruited as part of 4 mother-to-infant HIV-1 transmission cohorts in Johannesburg, South Africa, were used in this study. A detailed description of the 4 cohorts is given by Kuhn et al. 22. An additional 115 control, SAA HIV-1-uninfected mothers were also recruited. All available transmitting pairs (infant infected) and a random sample of approximately three non-transmitting pairs (mother infected but infant uninfected) per case were randomly selected from the cohorts. Of the 314 matching mother-infant pairs, 235 were mother-infant pairs where the infants were HIV-1 exposed but remained uninfected (EU) and their mothers are thus referred to as non-transmitting (NT) mothers. In addition there were three unmatched EU infants, thereby totalling 238 EU infants. There were 79 matched mother-infant pairs where the infant was determined HIV-1 infected and one additional unmatched infected infant thereby totalling 80 infected (INF) infants and 79 transmitting (TR) mothers. Of the 80 INF infants, 20 were infected in utero (IU; PCR positive at birth), 32 were infected intrapartum (IP; PCR negative at birth, positive at 6 weeks postpartum) and the remaining 28 were found to be infected at 6 weeks but had no birth sample available for determining the timing of transmission. The cohort individuals described by Kuhn et al. 22 were not all used in this study, thus Table 1 shows the distribution of this study’s participants across the 4 cohorts. The median maternal viral loads (copies/ml) and CD4 counts (cells/:l) for the broad groups are also shown in Table 1.
Since this study aimed to investigate the role of select genetic variations on mother-to-infant HIV-1 transmission, the role played by the various antiretroviral drugs administered in the 4 cohorts needs to be addressed. Study participants were classified according to whether the mothers were administered no nevirapine (noNVP) or a single-dose maternal NVP (mNVP) during labour. All infants received a single dose of NVP. Table 1 also shows the distribution of mothers and infants after stratification according to maternal NVP (with maternal viral loads and CD4 counts). Single-dose NVP administration to the mother during labour serves to only reduce IP HIV-1 infant infection since mNVP does not exert its protective effect by reducing the mother’s viral load (insufficient time; mNVP vs. noNVP MVL: P=0.6; Mann-Whitney U-test), but by the increased NVP in the infant acquired through placental transfer. Thus, mNVP administration (and subsequent infant NVP administration) has no effect on IU infection which has occurred prior to NVP exposure. To correct for the effect of antiretroviral drugs, in addition to analysing the data without taking drugs into account, logistic regression was used to correct for the effect of mNVP and mothers and infants that were administered other antiretroviral drugs were excluded from this part of the analysis.
Two intragenic haplotypes, namely Hap-A1 and Hap-A3, each comprised of minor alleles at seven SNP positions, were previously identified in the CCL3 gene amongst South African African (SAA) mother and infant pairs 19. Figure 1 shows the SNPs as well as the nucleotide (minor allele) composition of these two haplotyes relative to a schematic representation of the CCL3 gene. These two haplotypes overlap at two SNP positions as indicated on Figure 1. Thus, in addition to investigating the role of each haplotype individually in both HIV-1 mother-to-child transmission and HIV-1 disease (in the mothers), we were also able to independently investigate the effect of the minor alleles of the A/G p+1245 (rs1719130) and C/G p+1728 (rs1063340) SNPs (termed Hap-2SNP). This is not only a count of individuals heterozygous for Hap-A1 and Hap-A3 (i.e. an individual having both haplotypes) since homozygosity for either Hap-A1 or Hap-A3 would result in homozygosity for Hap-2SNP.
Mother (both infected and controls) and infant groups were grouped separately and analysed for both pairwise linkage disequilibrium between all minor alleles in the two haplotypes (Hap-A1 and Hap-A3) and well as for deviation from Hardy-Weinberg for the two tag SNPs and the Hap-2SNP genotypic data. All minor alleles in both haplotypes were in perfect LD with D′=1 for all pairwise combinations and all were significant with P’s<0.01. In addition no significant deviations from Hardy-Weinberg equilibrium were noted for the three haplotypes.
The minor allele frequencies of the three haplotypes as well as the genotypic frequencies are listed in Table 2. The haplotype frequencies of the control mothers, infected mothers as well as the total infant group did not show any noticable over- or underrepresentation in any one group over the other, and comparisons between the control and infected mothers did not reveal any trends or significant differences (data not shown). Given that Hap-2SNP involves SNPs shared by Hap-A1 and Hap-A3, it is not surprising that it is the most prevalent of the haplotypes in the SAA population group with an allelic frequency of approximately 18.9% (averaged across the three groups) and heterozygosity for Hap-2SNP was found in approximately 31% of the SAA population group. Hap-A1 is also a prevalent haplotype in this population group with an average allelic frequency of approximately 13.5% whereas Hap-A3 was the least prevalent of the haplotypes with an allelic frequency of 5%. Homozygosity for Hap-A3 was rarely detected.
Viral load and CD4 count comparisons between HIV-1 infected mothers (total and NT mothers) harbouring Hap-A1, Hap-A3 or Hap-2SNP to mothers lacking the haplotypes are shown in Table 3. The cohorts used in this study were designed to study HIV-1 MTCT, and thus a 3:1 ratio of NT:TR mothers is skewed in terms of TR mother overrepresentation compared to a cross-sectional study where the rate of MTCT would be at least two fold less. Thus to determine the role of CCL3 haplotypes on markers of disease progression, mothers were also analysed in the absence of TR mothers (i.e. NT mothers). Strong trends in the total mother group were seen with Hap-2SNP heterozygosity as well as Hap-2SNP heterozygosity combined with Hap-2SNP homozygosity (i.e. at least one copy of Hap-2SNP) and lower CD4 count (P=0.059 and P=0.056, respectively) which both proved to be significant upon analysis of the NT mothers alone (P=0.034 and P=0.032, respectively). Hap-A1 also showed a trend of association with low CD4 count in the NT mothers (P=0.067).
Percent representation of the CCL3 haplotype genotypes (heterozygotes and homozygotes) in both the infant and mother groups are shown as bar graphs in supplementary Figure 1.
Hap-A1 comparisons between all groups of transmitting mothers and NT mothers revealed no significant associations of this haplotype with any particular group (data not shown). Table 4 shows comparisons between EU infants and infected infant groups/subgroups with respect to Hap-A1 heterozygosity (WT/Hap-A1).
EU infants had higher representation of Hap-A1 heterozygosity compared to INF infants (P=0.06; OR=0.53), and a trend was maintained post MVL correction(P=0.07; OR=0.53) and mNVP correction (P=0.05; OR=0.50), but was lost upon combined correction for MVL and mNVP, without much change to the OR (P=0.10; OR=0.55). Comparison of EU infants to IP and IU infants revealed that it is the IU infants that are underrepresented with respect to WT/Hap-A1 and although not significant when compared to EUs (P’s=0.09-0.15 across comparisons), the ORs we low and ranged from 0.29-0.32 (Table 4). Given that the IU group is fairly small (n=20), and given that the infected infant group of unknown (i.e. IP or IU) infection route (n=28) are likely to have a higher proportion of IU infections than IP infections (see rationale in ‘Materials and Methods’ section under ‘Comparisons and Analyses’), we compared EU infants to infected infants (termed INF-2) after exclusion of known IP-infected infants. Table 4 shows that EU infants had significantly higher representation of WT/Hap-A1 compared to INF-2 infants (P=0.02; OR=0.16) and furthermore this significance was maintained post MVL (P=0.03; OR=0.34), mNVP (P=0.02; OR=0.30) and combined MVL and mNVP correction (P=0.04; OR=0.33). This result strongly suggests that Hap-A1 is playing a role in protection from HIV-1 in utero infection.
To further investigate the role of Hap-A1, we looked at mother-infant pairs with respect to concordance and discordance in possession of the WT/Hap-A1 genotype. Figure 2A shows that the protective effect of WT/Hap-A1 occurs at the level of the infant. Although concordance for the genotype (M+I+) still reveals NT/EU mother-infant pairs having higher representation than both IU-TR/IU and the TR-2/INF-2 mother-infant pairs, this is not statistically significant. In the discordant combination where the genotype is absent in the mother and present in the infant (M−I+), TR-2/INF-2 mother-infant pairs have significantly less WT/Hap-A1 than NT/EU mother-infant pairs (P=0.023) and although IU-TR/IU mother-infant pairs had zero representation of WT/Hap-A1, this association did not reach significance. Interestingly, the absence of the genotype in the infant (M+I−) abrogates the protective effect imparted by WT/Hap-A1; even though IU-TR/IU mother-infant pairs have no WT/Hap-A1 representation, TR-2/INF-2 mother-infant pairs have relatively high WT/Hap-A1 representation and EU/NT mother-infant pairs have fairly low WT/Hap-A1 representation compared to their M+I+ and M-I+ counterparts (Figure 2A).
Comparison of infected infant groups to EU infants with respect to Hap-A3 and Hap-2SNP failed to show a role for these two haplotypes with respect to HIV-1 infant protection (data not shown). Table 5 shows comparisons between NT mothers and TR mother groups/subgroups with respect to Hap-A3 heterozygosity (WT/Hap-A3) and Hap-2SNP homozygosity.
NT mothers had significantly lower representation of WT/Hap-A3 compared to IP-TR mothers (P=0.04; OR=2.94) which maintained significance post-MVL correction (P=0.02; OR=3.42), post-mNVP correction (P=0.03; OR=3.17) and post combined correction for MVL and mNVP (P=0.02; OR=3.50).
Minor allele homozygosity at Hap-2SNP showed a trend of underrepresentation in NT mothers compared to TR mothers and IP-TR mothers in the total group comparisons (P=0.08; OR=3.95 and P=0.06; OR=5.92, respectively), which were maintained post-MVL correction (P=0.06; OR=4.51 and P=0.08; OR=5.60, respectively). A trend was maintained only in the NT vs. IP-TR comparison post-mNVP and post the combined mNVP and MVL correction (P=0.06; OR=6.06 and P=0.07; OR=6.05, respectively). Since IU-TR mothers had no representation of Hap-2SNP homozygosity, we compared NT mothers to TR mothers after removal of the IP-TR mother subgroup (i.e. TR-2 equivalent to the INF-2 infant group and predominantly IU-TR mothers). No significant associations were seen with respect to NT vs. TR-2 and Hap-2SNP homozygosity (Table 5).
These results point to a role for Hap-A3 in increasing the likelihood of IP mother-to-child HIV-1 transmission. Hap-2SNP also shows a trend towards increased IP transmission, however since the frequency of Hap-2SNP homozygosity is very low (2.34% in total HIV-1-infected mothers, Table 2), the confidence intervals in these comparisons are very large hence larger sample numbers would be needed to verify this result.
Concordant and discordant mother-infant comparisons with respect to WT/Hap-A3 did not reveal any significant associations, however Figure 2B clearly shows that the relationship of high WT/Hap-A3 being associated with a greater likelihood of IP transmission seemed dependent on the genotype being present in the mother since in both M+I+ and M+I-mother-infant groups, IP-TR/IP mother-infant pairs have at least double the representation of WT/Hap-A3 compared to the NT/EU mother-infant pairs. Conversely, in the M-I+ mother-infant group, IP-TR/IP mother-infant pairs have no representation of WT/Hap-A3 compared to 5.2% in the NT/EU mother-infant pairs (Figure 2B).
Results of Mann-Whitney U test comparisons in the infant groups with regard to CCL3L copy number (CN) alone as well as CCL3L CN and CCL3 haplotypes are listed in Table 6.
As we have previously seen within this cohort 22, EU infants have statistically higher CCL3L CN compared to INF infants (P=0.004). When we compared the possession of at least one copy of Hap-A1 (i.e. homozygotes and heterozygotes) and their CCL3L CN, we found that within the total infant group, infants with high CCL3L CN were very significantly associated with possession of Hap-A1 (P=0.001). This was due to the EU infants as EU infants with high CCL3L CN also tend to possess at least one copy of CCL3 Hap-A1 (P=0.006) compared to INF infants (P=0.141). On the other hand, possession of high CCL3L CN and at least one copy of Hap-A3 failed to show any significance, however when Hap-2SNP was analysed in the same manner, within the total infant group, high CCL3L CN and possession of at least one copy of Hap-2SNP was also significant (P<0.001) and seen within both the EU (P=0.011) and INF infants (P=0.029). No significant associations or trends between CCL3L CN and the possession of any of the three haplotypes were seen in the mothers (data not shown).
To determine if another African population showed a similar strong association with CCL3L CN and Hap-A1, we made use of SNP data available for the Yoruban (YRI) population group (Nigeria) from the HapMap project (www.hapmap.org) and CCL3L copy number data available for the same group using supplementary data from Campbell et al. 23. Although SNP data for only two SNP positions (rs1130371 and rs1719134) found in Hap-A1 were available in HapMap, we made the assumption that Hap-A1 is present within this population group and used the rs1130371 SNP data as a putative ‘tag’ for Hap-A1 to test for the association of CCL3L CN and the presence or absence of the minor allele of the rs1130371 SNP (Mann-Whitney U-test). Results show that Hap-A1 was significantly associated with CCL3L CN however, surprisingly, and in contrast to our study population, Hap-A1 in the YRI population is associated with low CCL3L CN (P=0.005). What we did notice is that the two populations differed with respect to CCL3L CN distribution with the YRI population having a median CCL3L CN of 4 (range 2-8) whereas our study population has a median of 5 (range 1-10), which is similar to the distribution seen in healthy uninfected SAA adults (median=5, range=0-9, N=240; unpublished data).
Since high CCL3L CN is significantly associated with infant protection from HIV-1 infection, and since Hap-A1 is significantly associated with protection from IU HIV-1 infection (overrepresentation in EU infants vs. INF-2 infant group), the significant association of CCL3 Hap-A1 and high CCL3L CN warrants further investigation. In order to determine if there is an additive effect of CCL3 Hap-A1 and high CCL3L CN, we compared EU infants and INF-2 with both these genetic features to those with neither. Table 7 shows that having both these genotypes (P=0.033) is not more statistically significant than each genotype alone, i.e. suggesting no additive effect. However when we compared the same groups with respect to having either one of these protective genotypes i.e. at least one copy of CCL3 Hap-A1 or high CCL3L CN, we found that this combination is more significant (P=0.0008) than the effect of each genotype alone (Table 7). Furthermore when we performed a logistic regression analysis using stratified CCL3L CN and CCL3 WT/Hap-A1 on the EU vs. INF-2 data set, the effect of CCL3L CN remained significant (P=0.01; OR=0.38) and although CCL3 Hap-A1 lost significance upon adjustment for the effect of CCL3L CN, it maintained a strong trend (P=0.055; OR=0.42). These results suggest that both these genetic factors are protective in the context of infant IU infection, however CCL3L CN is the stronger of the two and likely to be responsible for why an additive effect is not evident.
CCL3, through its CCR5-mediated signalling, has been shown in vitro to be inhibitory to HIV-1 entry. An in vivo role for CCL3 in HIV-1 disease has largely been shown through animal model studies involving both mice and non-human primates 24-27. A role for CCL3 in HIV-1 infection in humans has been suggested primarily through genetic association studies, where low CCL3L gene copy number has been shown in numerous studies to be associated with increased adult and infant/child HIV-1 susceptibility 10-11, 22, 28-30. A role for CCL3 in cell-mediated immune responses to HIV-1 has also been suggested in studies by Shalekoff et al. 31 and Dolan et al. 32.
Since CCL3 is encoded by two functional genes (CCL3 and CCL3L), the contribution of CCL3, in combination with CCL3L copy number, on HIV-1 disease in a South African African population group was investigated. Although the CCL3 isoform is far less potent than the CCL3La isoform at R5 HIV-1 inhibition in in vitro studies, this is not the only effect/function that may be of significance in an in vivo scenario.Furthermore, the individual contribution of these two genes to overall CCL3 production is still largely unknown mainly due to the absence of a monoclonal antibody that can differentiate the two protein isoforms. A recent study that has tried to address this question by comparing mRNA transcripts of the two genes as well as looking at CCL3 production in a Caucasian cohort, found that CCL3 expression predominates in both mRNA and protein, and consequently one of their main conclusions is that, in terms of biological significance, the variation in CCL3 may be potentially more relevant than CCL3L copy number variation 33. However, if CCL3La is far more potent than CCL3, then much less protein may be required in vivo, and small changes in the abundance of CCL3La may thus have larger consequence and hence may need to be regulated more finely. Nonetheless, the contribution of the CCL3 isoform to HIV-1 disease is largely understudied.
In a previous study in which we sequenced the CCL3 genes of 43 African mother-infant pairs, two haplotypes comprised of the minor alleles of seven SNPs (designated Hap-A1 and Hap-A3) were identified at relatively high frequencies (>5%) within this population group. The two haplotypes overlapped in two out of the seven positions and it is highly probable that these two polymorphic positions represent an ancestral haplotype (termed Hap-2SNP in this study) which accumulated additional polymorphisms in two separate pathways resulting in Hap-A1 and Hap-A3. These two polymorphic positions are also found on a prevalent five-SNP haplotype described in a South African Caucasian population 19, further supporting Hap-2SNP representing an ancestral core haplotype. Genotypic assays designed to detect Hap-A1 and Hap-A3 in this study thus also allowed the opportunity to study the effect of these two polymorphic positions independently. In addition, the availability of CCL3L copy number data for the same cohort 22 allowed us to investigate the combined effect of the two genes than encode the CCL3 chemokine.
Hap-A1, found in high frequency within the SAA population group (13 % allelic frequency), is comprised of the minor alleles of a core promoter SNP, three intronic SNPs, two exonic SNPs (exons 2 and 3) and one 3′UTR SNP. This haplotype is of particular interest as it harbours SNPs that have been reported in previous genetic association studies to impact on HIV-1 susceptibility as well as disease progression 16-18, 21. An investigation of its role in HIV-1 disease using VL and CD4 count as markers of disease progression in the mothers, revealed a strong trend of association with lower CD4 count in the NT mothers. Hap-A1 however played no role in maternal transmission of HIV-1 as evidenced by similar representation of this haplotype among TR and NT mothers (<5% difference). Hap-A1 heterozygosity on the other hand was more highly represented among EU infants when compared to INF infants. Comparison of EU infants to infected infants in the absence of the IP-infected infant group revealed a significantly higher representation of Hap-A1 in the EU infants which was maintained through all corrections performed and in addition, was significantly higher in NT/EU mother-infant pairs compared to predominantly IU-infected infant-mother pairs (i.e. after exclusion of the IP-TR/IP pairs). These results strongly suggest a protective role for Hap-A1 in acquisition of HIV-1 infection by the infant through the in utero mode of transmission.
A role for Hap-A1 in HIV-1 protection is consistent with select studies that have looked at one or more SNPs that are part of this haplotype. Gonzalez et al. 16 were the first to find an association with two SNPs (C/T p+199 and C/T p+545; Fig. 1) in African Americans (AAs) with homozygosity for the minor allele at both positions (TT) being associated significantly with lower risk of HIV-1 acquisition, however no effect was seen on disease progression within the same group. Two other studies 17-18, both investigating SNPs associated with HIV-1 risk of infection in the same intravenous-drug-using (IDU) cohort (ALIVE), found opposite associations for different SNPs that are present in Hap-A1. Shrestha et al. 18 report an increased susceptibility amongst AA IDUs with homozygosity for the minor allele of C/T p+954 (which they state to be in LD with C/T p+545 and A/G p+1245), whereas Modi et al. 17, report three SNPs, two correlating to C/T p+199 and G/T p+1428 (which they report to be in LD with C/T p+545, C/T p+954 and A/G p+1245) to be significantly elevated among highly exposed, persistently HIV-1 uninfected AAs compared with HIV-1-infected AA seroconverters. Thus both studies report opposite associations for SNPs which appear to be in LD with each other and representative of the Hap-A1 haplotype described in our African cohort. In a recent study, which looked at Zambian HIV-1 serodiscordant couples, out of 63 SNPs studied in CCL2, CCL3, CCL4 and CCL5, only two SNPs, both in CCL3, were highlighted as playing a role; a 3′-UTR SNP was associated with lower VL in seroconverters and again a Hap-A1 SNP, G/T p+1428 (rs34171309), was found to be associated with increased risk of HIV-1 acquisition in the serodiscordant couples 21. This is the only study to our knowledge that has reported an association for a Hap-A1-associated CCL3 SNP in another sub-Saharan African population group, again highlighting a role for Hap-A1 in HIV-1 susceptibility, albeit an opposite effect from what we saw in our MTCT cohort. Heterosexual, intravenous and in utero mother-infant HIV-1 infection, are three very different modes of transmission, and it is very likely that the role of this chemokine may differ depending on the mode of transmission.
Hap-A3 and Hap-2SNP did not show any association with regard to infant HIV-1 protection. They were however more highly represented in mothers that transmitted HIV-1 to their infants through the IP route compared to the non-transmitting mothers. Hap-A3 heterozygosity was significantly higher in IP-TR mothers compared to NT mothers and this remained significant after all corrections for MVL and mNVP. Furthermore from the concordance/discordance comparisons involving this haplotype, it appears that Hap-A3 plays a role in increased IP MTCT only when present in the mother. Hap-A3 is comprised of the minor alleles of four intronic SNPs and three 3′UTR SNPs. The 3′UTR regions of metazoan genes are microRNA (miRNA) target-rich regions raising the question as to whether the three 3′UTR Hap-A3 SNPs form part of any miRNA target sequences that function to modulate CCL3 RNA transcription. Although Hap-2SNP homozygosity was also higher in IP-TR mothers compared to NT mothers, the small sample numbers is this comparison makes this result tentative as indicated by the large confidence intervals.
Hap-2SNP homozygosity as well as at least one copy of Hap-2SNP showed strong trends of association with lower CD4 counts in the total HIV-1-infected mothers and this proved to be significant also when NT mothers were analysed separately. The strong trend of Hap-A1 also associating with lower CD4 count in the NT mothers is probably attributable to the two SNPs in Hap-2SNP that are part of Hap-A1. The two polymorphisms that constitute Hap-2SNP are not located in the exons but in intron 2 (p+1245 A/G) and in the 3′UTR region (p+1728 C/G) and thus whether either of these two allelic variations (or both) impact on CCL3 gene expression will be worthy of future investigation. These results do however suggest a role for CCL3 in HIV-1 disease progression.
Thus, all three CCL3 haplotypes investigated in this study appear to have some effect within the context of HIV-1 MTCT and disease progression in a sub-Saharan African population group, however, it is important to state that firstly the numbers in this cohort are not large and the absence of correction for multiple tests make it imperative that these associations are tested in larger cohorts with more conservative statistical analyses. Studies such as these however are important to lay the groundwork regarding potential genetic features that can be looked at in larger population groups and that can be targeted in terms of determining what genetic variation impacts on CCL3 expression and function.
An unexpected finding in this study was the highly significant association that was seen with the combination of CCL3L copy number and two of the CCL3 haplotypes, namely Hap-A1 and Hap-2SNP. The presence of at least one copy of Hap-A1 and Hap-2SNP was very significantly associated with high CCL3L copy number in the total and well as EU infant groups and also within the INF infants with regard to the Hap-2SNP alone. Even though Hap-2SNP forms part of Hap-A1 and Hap-A3, CCL3L copy number and CCL3 Hap-A3 were not found to be significantly associated, suggesting that it is Hap-A1, the more prevalent of the two seven-SNP haplotypes is the major contributor in the Hap-2SNP association seen. Similar comparisons (Mann-Whitney U test) carried out in the mothers failed to show similar associations.
What does this significant association of CCL3 Hap-A1 and CCL3L copy number imply? A number of possibilities come to mind, firstly since Hap-A1 was higher in the EU infants compared to the INF infants (particularly in the IU-enriched infected group: INF-2), and EU infants have significantly higher CCL3L copy number compared to INF infants, then a combination of the two might be expected to show an additive contribution of the two ‘protective’ traits. Comparison of EU vs. INF-2 infants with respect to having Hap-A1 and a high CCL3L CN failed to show an additive effect since the association was not more significant than either genotypic feature alone. However, having Hap-A1 or high CCL3L CN was very significantly (P=0.0008) associated with higher representation in the EUs compared to the INF-2 infants, and more significant than the individual associations. Logistic regression analysis of CCL3 Hap-A1 and CCL3L copy number in the infant groups also showed that CCL3L CN remains significant when accounting for CCL3 Hap-A1, and CCL3 Hap-A1 maintained a strong trend when accounting for CCL3L CN. These results suggest that these two genetic factors are both exerting a protective effect, with high CCL3L CN being the stronger of the two, and have probably undergone separate evolutionary selection.
Another possibility is that there may be some LD between CCL3 Hap-A1 with high CCL3L copy number, however if so, one would expect to see a similar relationship in the corresponding mothers which was not the case. The infant group however is predominantly composed of EU infants and the mothers are all HIV-1 infected and so are likely to have differing CCL3 Hap-A1 and CCL3L copy number distributions. A number of studies have investigated LD between SNPs and regions of copy number variation (CNV) in an attempt to try and find reliable ‘tag’ SNPs for copy number polymorphisms (CNPs) 23, 34-37 and the general consensus seems to be that there is a high degree of LD between simple biallelic CNPs and the surrounding SNPs however multiallelic CNPs (like CCL3L) tend to show less LD with surrounding SNPs 23. To see if this result was true for another, non-infected African population group, we used data available for the Yoruban (Nigeria) population from HapMap. Unexpectedly, this data also showed a significant association between a Hap-A1-associated SNP and CCL3L CN, although it was the reverse association to the one seen in our study. Although we cannot be certain that Hap-A1 is in fact present in this population group, it seems likely that it is since it appears to be present in African American population groups 17-18. Thus, given these two contrasting results for two African population groups makes it unlikely that there is LD between CCL3 Hap-A1 and CCL3L copy number and the strong association more than likely reflects enrichment of two mutually exclusive protective traits in a group of infants that were exposed to HIV-1 and remained uninfected.
In conclusion, this study has examined the role of three African CCL3 haplotypes in HIV-1 infant susceptibility, maternal HIV-1 transmissibility and HIV-1 disease progression in the mothers and suggests a role for this gene, together with CCL3L in HIV-1 disease. We believe this study has highlighted in particular the complexity that exists in this genome region, and the difficulty in trying to understand the contribution to HIV-1 disease of individual, closely related genes, that encode for a protein that to date cannot be easily differentiated.
The infant’s infection status was determined by a HIV-1 DNA PCR test (Roche Amplicor version 1.5). The viral load (VL) determinations were done on maternal delivery samples using the Roche Amplicor RNA Monitor assay version 1.5 (Roche Diagnostic Systems, Inc., Branchburg, NJ) and the CD4 T-cell counts were determined using the commercially available FACSCount System from Becton Dickinson (San Jose, CA).
In the case of TR mothers, 23% in our study reported any breastfeeding vs. 16% of NT mothers (not significant). The average duration of breastfeeding for those who initiated any breastfeeding was 14 days. By extrapolation the effect of breastfeeding would be negligible in this cohort. Moreover as breastfeeding and IP transmission are thought to occur across mucosal surfaces which is different to IU transmission, combining the majority IP with a tiny proportion of breastfeeding would not confound the genetic outcomes with transmission likelihood
This study was approved by the University of the Witwatersrand Committee for Research on Human Subjects and the Institutional Review Board of Columbia University and signed informed consent was obtained from all mothers who participated in the study.
Although the minor alleles involved in these two haplotypes (Hap-A1 and Hap-A3) were previously confirmed to be syntenic by cloning out of respective haplotypes and in addition the SNPs were always found associated with each other in all individuals that were genotyped 19, to further confirm that all the alleles were in complete linkage, pairwise linkage disequilibrium (LD) between every two minor allele combination in the haplotype (i.e. 21 pairwise combinations for a 7-SNP haplotype) was estimated using the method described by Lewontin 38. The linkage disequilibrium coefficient D was calculated (Dij = HFij - pipj) and subsequently normalized (D′) or standardized by the maximum value it can take (Dmax) using the formula D′ij = Dij/Dmax. HFij is the frequency of the haplotype carrying alleles i and j, pi and pj are the frequencies of alleles i and j respectively and Dmax is either min[pipj, (1 - pi)(1 - pj)] if Dij<0 or min[(1- pi) pj, pi(1 - pj)] if Dij>0. D′ values are defined in the range [−1 to 1] with a value of ‘1’ representing perfect disequilibrium. The statistical significance of the linkage disequilibrium between each of the allele pairs was evaluated by the approximate chi-square described by Liau et al. 39.
Since both haplotypes were comprised of alleles in complete linkage disequilibrium, a SNP unique to each haplotype (i.e. not shared between haplotypes) was selected for development of a real-time PCR assay for the detection of the haplotype thereby using the SNP position as a ‘tag’ or representation of the haplotype (see Figure 1 for tag SNPs). We developed SYBR Green real-time PCR assays to detect the SNPs using allele-specific PCR with two allele-specific primers designed with their 3′-end bases complementary to one of two SNP variants present [termed wild type i.e. WT and mutant (i.e. Hap-A1 or Hap-A3)] and one common primer (i.e. reverse or forward depending on orientation of allele-specific primers). Two PCR reactions were thus conducted for each sample, one with each of the WT and mutant primers. For the detection of Hap-A1, both allele-specific primers (forward primers) were designed with a lock nucleic acid (LNA) modified 3′-end base (5′-TAGCATGACAGCATCACTAY-3′) and a standard reverse primer (5′-TGGAGACCTGCATGATTCT-3′). For Hap-A3, the best results were obtained by using a combination of a LNA modified WT (i.e. ‘C’ base) detection reverse primer, a standard mutant (i.e. ‘T’ base) detection reverse primer (5′-GAGCAGTTGAGGAAGGCAR-3′) and a common forward primer (5′-GAAGAGTCAAGGAGAAAGAAGG-3′). Each 10 μl reaction contained 1×Applied Biosystems SYBR Green PCR Master Mix (Applied Biosystems, CA, USA), 10 pmol of each forward and reverse primer, and ~30-80 ng DNA template. The PCR reactions were run in an Applied Biosystems 7500 Real-Time PCR system. Initial 10 min denaturation at 95 °C was followed by 40 cycles of 15 s denaturation at 95 °C, annealing at 60 °C for 20 s and extension at 72 °C for 1 minute. To analyze the PCR data, the cycle threshold, (CT, the minimal fluorescence above which a sample is determined positive) was determined and used to calculate DCT values (difference in CT) by subtracting the CT of the WT reaction from the mutant reaction. Heterozygous individuals had DCT between 0 and 1.5, whereas homozygous WT and mutant individuals had DCT values ≥7 and ≥-7, respectively. Plasmid DNA harboring cloned CCL3 genes with the two respective haplotypes as well as genomic DNA from individuals of known genotype 19, were used to optimize the assays.
All genotypic data was tested for deviation from Hardy-Weinberg equilibrium using the conventional Monte Carlo exact test of Guo and Thompson 40 implemented through the computer program TFPGA (Tools for Population Genetic Analyses version 1.3; 1997: author Mark. P. Miller).
- Stratification of mother and infants according to single dose maternal NVP (mNVP) and no maternal NVP (noNVP) revealed that the mNVP subgroup had unexpectedly significantly more infected infants in total compared to the noNVP subgroup (31.5% vs. 18.3%; P=0.013), but as expected, significantly proportionally less IP infants in the mNVP subgroup compared to the noNVP subgroup (11/46, 24% vs. 18/25, 72%; P<0.001) since mNVP is known to affect IP transmission/infection. Out of the 23 infants of unknown mode of infection within these NVP stratified groups, 22/23 infants fell within the mNVP group compared to 1/23 that fell within the noNVP group (P<0.001), suggesting that the higher number of infections in the mNVP group is due to these infants of unknown infection route, and further suggesting that a large proportion of these infants are likely to have been infected in utero. Thus in trying to determine if one of the CCL3 haplotypes was showing an association with in utero HIV-1 infection, we also analysed the data by comparing EU infants to infected infants after removal of the IP-infected infants from the group. This subgroup was designated as INF-2.
- CCL3 genotypes found to be associated with either infant susceptibility of maternal transmissibility were further analysed by looking at the level of concordance or discordance between mother-infant pairs with respective genotypes.
Fisher’s exact tests were used to calculate statistical significances and exact 95% confidence intervals (CI) of odds ratios (OR) of genotype frequency differences (SISA: Simple Interactive Statistical Analysis 41). Two-sided tests were used and the level of statistical significance for analyses was set at P<0.05. Logistic regression was used to adjust for the effect of maternal viral load (MVL) and maternal NVP (mNVP) dose, as well as and to test for the interaction between CCL3 Hap-A1 and CCL3L copy number. Mann-Whitney U-tests were carried out using the SPSS software (version 15.0; SPSS Inc.) and level of statistical significance for these analyses was also set at P<0.05. No adjustment was made for multiple comparisons in this study.
Supplementary Figure 1. Bar graphs, showing percent representation of three CCL3 haplotypic genotypes (heterozygous and homozygous), in infant (A) and mother (B) groups. WT: wildtype (i.e. major allele); EU: HIV-1 exposed uninfected infants (n=238); INF: Total HIV-1 infected infants (n=80); IP: Infants infected with HIV-1 through the intrapartum route (n=32); IU: Infants infected with HIV-1 through the in utero route (n=20). NT: HIV-1-positive mothers that did not transmit HIV-1 to their infants (n=235). TR: HIV-1-positive mothers that did transmit HIV-1 to their infants (n=79). IP-TR: HIV-1-positive mothers that transmitted HIV-1 to their infants through intrapartum route (n=32). IU-TR: HIV-1-positive mothers that did transmit HIV-1 to their infants through the in utero route (n=20)
Click here for additional data file (NIHMS50083-supplement-1.png)
FN1Conflict of interest The authors declare no conflict of interest.
This study was supported in part by grants from the South African AIDS Vaccine Initiative (SAAVI), NICHD (HD 42402, HD 36177), and Wellcome Trust (076352/Z/05/Z).
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Keywords: CCL3, CCL3L, HIV-1, Haplotypes, SNPs, Mother-to-child-transmission.
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