| Literature DB >> 28903415 |
Peiqiang Li1,2, Lijuan Huang1, Yufang Zheng1,3, Xuedong Pan1, Rui Peng1, Yueming Jiang1, Richard H Finnell4,5, Haijie Li6, Bin Qiao6, Hong-Yan Wang1,3,7.
Abstract
Deregulation of folate and vitamin B12 (VB12) metabolism contributes to the risk of congenital heart defects (CHDs). Transcobalamin (TCN2) is essential for transporting VB12 from blood to cells as TCN2-bound VB12 (holo-TC) is the only form for somatic cellular uptake. In this study, we performed an association study between common polymorphisms in 46 one carbon metabolism genes and CHD in 412 CHDs and 213 controls. Only two significant association signals in coding regions were identified: FTCD c.1470C>T & TCN2 c.230A>T. The only missense mutation, TCN2 c.230A>T, was further validated in 412 CHDs and 1177 controls. TCN2 c.230T is significantly associated with reduced CHD risk in North Chinese (odds ratio = 0.67, P = 4.62e-05), compared with the 230A allele. Interestingly, the mean level of plasma holo-TC in women with the TA genotype was 1.77-fold higher than that in women with the AA genotype. Further analysis suggested that c.230A>T enhanced the cellular uptake of holo-TC via the LRP2 receptor. Our results determined that a functional polymorphism in TCN2 contributes to the prevalence of CHDs. TCN2 c.230A>T is significantly associated with a reduced CHD risk, likely due to TCN2 c.230T improving the interaction between holo-TC and its LRP2 receptor.Entities:
Keywords: LRP2; TCN2; congenital heart defects; holo-TC; vitamin B12
Year: 2017 PMID: 28903415 PMCID: PMC5589654 DOI: 10.18632/oncotarget.19377
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Association of TCN2 c.230A>T allele with CHDs in two independent case–control studies
| SNPs | Genotypea | MAF | Genetic model | OR (95% CI) | ||||
|---|---|---|---|---|---|---|---|---|
| Control | Case | Control | Case | |||||
| First stage | 104/90/18 | 256/132/21 | 0.30 | 0.21 | Codominant | NA | 0.001 | 0.87 |
| Dominant | 0.59 (0.39–0.89) | 0.012 | ||||||
| Recessive | 0.38 (0.17–0.83) | 0.016 | ||||||
| Additive | 0.61 (0.44–0.85) | 0.003 | ||||||
| Validation | 662/426/89 | 237/157/18 | 0.26 | 0.23 | Codominant | NA | 0.003 | 0.08 |
| Dominant | 0.75 (0.55–1.01) | 0.057 | ||||||
| Recessive | 0.37 (1.20–0.67) | 0.001 | ||||||
| Additive | 0.70 (0.55–0.89) | 0.004 | ||||||
| Meta-analysisd | 766/516/107 | 489/287/39 | 0.26 | 0.22 | Codominant | NA | 1.40e-05 | 0.13 |
| Dominant | 0.69 (0.54–0.89) | 0.003 | ||||||
| Recessive | 0.37 (0.23–0.60) | 5.18e-05 | ||||||
| Additive | 0.67 (0.55- 0.81) | 4.62e-05 | ||||||
aAA/AT/TT; OR, odds ratio; CI, confidence interval; NA, not available; bAdjusted by sex and age; cHWE test in the controls; dpooled values from fixed effects model (Pheterogeneity > 0.05).
Stratification analysis of TCN2 c.230A>T according to CHD classification and phenotype
| CHD Classification | Genotyping in Casesa | Genetic model | OR (95% CI)b | |
|---|---|---|---|---|
| Septation defects | 251/142/17 | Codominant | NA | 0.001 |
| Dominant | 0.67 (0.51–0.89) | 0.005 | ||
| Recessive | 0.37 (0.21–0.68) | 0.001 | ||
| Additive | 0.77 (0.64–0.93) | 0.0004 | ||
| Conotruncal defects | 113/65/10 | Codominant | NA | 0.035 |
| Dominant | 0.70 (0.48–1.02) | 0.060 | ||
| Recessive | 0.41 (0.19–0.87) | 0.020 | ||
| Additive | 0.69 (0.57–0.93) | 0.014 | ||
| RVOTO | 36/21/3 | Codominant | NA | 0.290 |
| Dominant | 0.70 (0.40–1.22) | 0.206 | ||
| Recessive | 0.44 (0.13–1.48) | 0.185 | ||
| Additive | 0.70 (0.45–1.10) | 0.119 | ||
| PDA | 34/15/5 | Codominant | NA | 0.390 |
| Dominant | 0.66 (0.37–1.21) | 0.170 | ||
| Recessive | 0.86 (0.32–2.32) | 0.760 | ||
| Additive | 0.77 (0.49–1.21) | 0.250 |
aAA/AT/TT; bAdjusted by sex and age.
Population diversity of the c.230A>T allele
| Population | Frequency of T allele | |
|---|---|---|
| East Asian | CHB | 0.14 |
| CHS | 0.05 | |
| JPT | 0.03 | |
| European | CEU | 0 |
| FIN | 0 | |
| GBR | 0 | |
| IBS | 0 | |
| African | ASW | 0 |
| LWK | 0 | |
| YRI | 0 | |
| Americas | MXL | 0 |
| PUR | 0 | |
| CLM | 0 | |
*Data from 1000 Genomes; CHB: Han Chinese in Bejing, China; CHS: Southern Han Chinese, China; JPT: Japanese in Tokyo, Japan; CEU: Utah residents with Northern and Western European ancestry; FIN: Finnish in Finland; GBR: British in England and Scotland; IBS: Iberian populations in Spain; ASW: African Ancestry in Southwest US; LWK: Luhya in Webuye, Kenya; YRI: Yoruba in Ibadan, Nigeria; MXL: Mexican Ancestry in Los Angeles, California; PUR: Puerto Rican in Puerto Rico; CLM: Colombian in Medellin, Colombia.
Figure 1The c.230A>T allele correlates with the concentration of active VB12 (holo-TC) in human plasma
The concentrations of holo-TC were measured within women with different genotypes. Plasma from AA:AT:TT = 54:49:0 individuals at c.230 and GG:GC:CC = 27:56:20 individuals at c.1025 were tested. The color coding used in the figure for each genotype is as follow, on the left side: white-AA, gray-AT; on the right side: white-GG, gray-GC, black-CC. The levels of holo-VB12 were significantly different between the individuals with different genotypes at c.230 A>T locus, but not at c.1025 G>C. Data are shown as mean ± SD. ***P < 0.001. (c.230 A>T: AA = 74.4 ± 29.0 pmol/L, AT = 132.1 ± 38.4 pmol/L; c.1025 G>C: GG = 100 ± 36.6 pmol/L, GC = 105.4 ± 47.3 pmol/L, CC = 94.4 ± 46.5 pmol/L).
Figure 2SPR analyzed the interaction between VB12 and recombinant TCN2 proteins
(A) Purified recombinant TCN2 proteins were analyzed by using Tris–glycine–SDS followed by Coomassie brilliant blue G–250 staining. The molecular weights of recombinant TCN2 proteins were same as the predicted molecular weight (43 kDa). (B) Kinetic sensorgrams of TCN2-wild and 77-Met with different concentrations of VB12 (0.125–4 μM). (C) Dissociation Constants (KD) of wild and 77-Met proteins for binding of VB12.
Figure 3Quantification of TCN2-77Met and TCN2-77Lys (wild type, WT) protein in HEK293T cells
(A) The knock-down efficiency of LRP specific siRNA was measured by detecting the mRNA level of LRP2, which was decreased more about 50% by the siRNA. HEK293T cells were transfected with 100 nM either negative control siRNA (siRNA-NC) or LRP2 siRNA. After 48 h, real-time-PCR analysis was carried out using specific primers for LRP2 and GAPDH. (B) and (C) HEK293T cells were transfected with myc-tagged TCN2-77Lys (wild type, WT) or TCN2-77Met expression plasmids. After 48 hrs, both cell lysate and culture media were collected for further Western blotting analysis. The band intensity of TCN2 WT and 77 Met proteins were normalized to individual β-actin in Western blotting or loading input in immunoprecipitation using Image-Pro Plus software 6.0. Cell lysates/culture media ratio of TCN2-WT was significantly lower than that of 77Met protein (P < 0.05) in siRNA negative control (siRNA-NC) group. However, after the LRP2 was knocked down, there was no difference between them. The results were repeated for three times.