Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Jan 8:5:450.
doi: 10.3389/fgene.2014.00450. eCollection 2014.

Lupus risk variants in the PXK locus alter B-cell receptor internalization

Affiliations

Lupus risk variants in the PXK locus alter B-cell receptor internalization

Samuel E Vaughn et al. Front Genet. .

Abstract

Genome wide association studies have identified variants in PXK that confer risk for humoral autoimmune diseases, including systemic lupus erythematosus (SLE or lupus), rheumatoid arthritis and more recently systemic sclerosis. While PXK is involved in trafficking of epidermal growth factor Receptor (EGFR) in COS-7 cells, mechanisms linking PXK to lupus pathophysiology have remained undefined. In an effort to uncover the mechanism at this locus that increases lupus-risk, we undertook a fine-mapping analysis in a large multi-ancestral study of lupus patients and controls. We define a large (257kb) common haplotype marking a single causal variant that confers lupus risk detected only in European ancestral populations and spans the promoter through the 3' UTR of PXK. The strongest association was found at rs6445972 with P < 4.62 × 10(-10), OR 0.81 (0.75-0.86). Using stepwise logistic regression analysis, we demonstrate that one signal drives the genetic association in the region. Bayesian analysis confirms our results, identifying a 95% credible set consisting of 172 variants spanning 202 kb. Functionally, we found that PXK operates on the B-cell antigen receptor (BCR); we confirmed that PXK influenced the rate of BCR internalization. Furthermore, we demonstrate that individuals carrying the risk haplotype exhibited a decreased rate of BCR internalization, a process known to impact B cell survival and cell fate. Taken together, these data define a new candidate mechanism for the genetic association of variants around PXK with lupus risk and highlight the regulation of intracellular trafficking as a genetically regulated pathway mediating human autoimmunity.

Keywords: B cells; BCR; PXK; fine-mapping; lupus.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Variants in the PXK locus are associated with lupus. (A) Plot of –log10(p) values for directly genotyped (red) and imputed (blue) SNPs spanning the previously identified region of association with lupus. Gene locations are indicated above with arrows indicating direction of transcription. (B) Plot of –log10(p) values for different ancestral cohorts. EA, European ancestry; AA, African American ancestry; HA, Hispanic and Amerindian ancestry; AS, Asian ancestry. While not the most highly associated SNP, rs4681677 (purple) was used to choose samples for biological studies because it was genotyped; this SNP is in high LD (r2 > 0.9) with the imputed SNPs that are more highly associated.
Figure 2
Figure 2
Evaluation of linkage disequilibrium in the PXK locus and Bayesian association analysis. (A) Association plot of genotyped and imputed SNPs shaded to identify the significant LD in the region. Colors correspond to r2-values, with darker shade indicating higher r2-values. (B) Bayesian analysis of variants in the PXK locus. Plot of posterior probability calculated for each variant in the locus. Variants included in the 95% credible set based on posterior probabilities are colored green.
Figure 3
Figure 3
Step-wise logistic regression analysis reveals one independent genetic effect at the PXK locus. Plot of P values (–log10) following adjustment for genotype at rs4681677. Adjustment for other SNPs with r2 > 0.9 with rs4681677 can also account for the genetic association (P < 0.01) in the region.
Figure 4
Figure 4
PXK expression in cell lines derived from study participants. (A) Plot of ΔΔCt values of PXK mRNA expression using TaqMan probes. (n = 14 risk/14 protective) (B) PXK expression at the protein level using flow cytometetry. (n = 8 homozygous risk/5 homozygous protective). Data for both A and B are representative of 3 independent experiments using control cell lines. Statistical analysis using a Student's t-test was performed in PRISM.
Figure 5
Figure 5
PXK colocalizes with the BCR following receptor crosslinking. (A) Quantification of colocalization between PXK and the BCR following BCR crosslinking in primary B cells from subjects without lupus. (B) Representative images showing colocalization. Statistical analysis using a One-Way ANOVA was performed in PRISM.
Figure 6
Figure 6
B cells carrying PXK risk allele demonstrate decreased internalization of the BCR. (A) Representative flow cytometry histogram showing decreasing fluorescence following internalization of the BCR from the B cell surface using patient-derived LCLs. (B) Quantification of BCR internalization as measured by the percent internalization (decrease in gMFI) following receptor crosslinking. Results of linear mixed model analysis as performed in R are shown. This experiment was performed using 20 cell lines from subjects without lupus in three independent experiments. The results of these independent experiments were combined and presented in (B).
Figure 7
Figure 7
shRNA knockdown of PXK disrupts BCR colocalization. (A) PXK protein expression following shRNA knockdown in 5 LCL lines from non-lupus subjects (expression was assessed in triplicate for each cell line). (B) Summary of BCR internalization at 2 min in LCLs following viral transduction with either an shRNA against PXK or a scrambled control. Results from unpaired Student's t-test shown. (C) Correlation between PXK protein expression and BCR internalization following shRNA knockdown. The significance was assessed using a Pearson correlation. The graphs in (B,C) are representative of the results of three independent experiments.

Similar articles

Cited by

  • A plausibly causal functional lupus-associated risk variant in the STAT1-STAT4 locus.
    Patel ZH, Lu X, Miller D, Forney CR, Lee J, Lynch A, Schroeder C, Parks L, Magnusen AF, Chen X, Pujato M, Maddox A, Zoller EE, Namjou B, Brunner HI, Henrickson M, Huggins JL, Williams AH, Ziegler JT, Comeau ME, Marion MC, Glenn SB, Adler A, Shen N, Nath SK, Stevens AM, Freedman BI, Pons-Estel BA, Tsao BP, Jacob CO, Kamen DL, Brown EE, Gilkeson GS, Alarcón GS, Martin J, Reveille JD, Anaya JM, James JA, Sivils KL, Criswell LA, Vilá LM, Petri M, Scofield RH, Kimberly RP, Edberg JC, Ramsey-Goldman R, Bang SY, Lee HS, Bae SC, Boackle SA, Cunninghame Graham D, Vyse TJ, Merrill JT, Niewold TB, Ainsworth HC, Silverman ED, Weisman MH, Wallace DJ, Raj P, Guthridge JM, Gaffney PM, Kelly JA, Alarcón-Riquelme ME, Langefeld CD, Wakeland EK, Kaufman KM, Weirauch MT, Harley JB, Kottyan LC. Patel ZH, et al. Hum Mol Genet. 2018 Jul 1;27(13):2392-2404. doi: 10.1093/hmg/ddy140. Hum Mol Genet. 2018. PMID: 29912393 Free PMC article. Clinical Trial.
  • CASCADE: high-throughput characterization of regulatory complex binding altered by non-coding variants.
    Bray D, Hook H, Zhao R, Keenan JL, Penvose A, Osayame Y, Mohaghegh N, Chen X, Parameswaran S, Kottyan LC, Weirauch MT, Siggers T. Bray D, et al. Cell Genom. 2022 Feb 9;2(2):100098. doi: 10.1016/j.xgen.2022.100098. Cell Genom. 2022. PMID: 35252945 Free PMC article.
  • Lymphocytes Change Their Phenotype and Function in Systemic Lupus Erythematosus and Lupus Nephritis.
    Moysidou E, Christodoulou M, Lioulios G, Stai S, Karamitsos T, Dimitroulas T, Fylaktou A, Stangou M. Moysidou E, et al. Int J Mol Sci. 2024 Oct 10;25(20):10905. doi: 10.3390/ijms252010905. Int J Mol Sci. 2024. PMID: 39456692 Free PMC article. Review.
  • Machine learning approaches to predict lupus disease activity from gene expression data.
    Kegerreis B, Catalina MD, Bachali P, Geraci NS, Labonte AC, Zeng C, Stearrett N, Crandall KA, Lipsky PE, Grammer AC. Kegerreis B, et al. Sci Rep. 2019 Jul 3;9(1):9617. doi: 10.1038/s41598-019-45989-0. Sci Rep. 2019. PMID: 31270349 Free PMC article.
  • The Role of Genetic Risk Factors in Pathogenesis of Childhood-Onset Systemic Lupus Erythematosus.
    Sestan M, Kifer N, Arsov T, Cook M, Ellyard J, Vinuesa CG, Jelusic M. Sestan M, et al. Curr Issues Mol Biol. 2023 Jul 17;45(7):5981-6002. doi: 10.3390/cimb45070378. Curr Issues Mol Biol. 2023. PMID: 37504294 Free PMC article. Review.

References

    1. Alhouayek M., Masquelier J., Cani P. D., Lambert D. M., Muccioli G. G. (2013). Implication of the anti-inflammatory bioactive lipid prostaglandin D2-glycerol ester in the control of macrophage activation and inflammation by ABHD6. Proc. Natl. Acad. Sci. U.S.A. 110, 17558–17563. 10.1073/pnas.1314017110 - DOI - PMC - PubMed
    1. Al-Mayouf S. M., Sunker A., Abdwani R., Abrawi S. A., Almurshedi F., Alhashmi N., et al. . (2011). Loss-of-function variant in DNASE1L3 causes a familial form of systemic lupus erythematosus. Nat Genet. 43, 1186–1188. 10.1038/ng.975 - DOI - PubMed
    1. Altshuler D. M., Gibbs R. A., Peltonen L., Dermitzakis E., Schaffner S. F., Yu F., et al. . (2010). Integrating common and rare genetic variation in diverse human populations. Nature 467, 52–58. 10.1038/nature09298 - DOI - PMC - PubMed
    1. Barrett J. C. (2009). Haploview: visualization and analysis of SNP genotype data. Cold Spring Harb. Protoc. 2009: pdb. ip71. 10.1101/pdb.ip71 - DOI - PubMed
    1. Barrett J. C., Fry B., Maller J., Daly M. J. (2005). Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21, 263–265. 10.1093/bioinformatics/bth457 - DOI - PubMed