RHC genotyping in Chinese Han population.

BACKGROUND: The Rh blood group system is characterized by its complexity and polymorphism, encompassing 56 different antigens. Accurately predicting the presence of the C antigen using genotyping methods has been challenging. The objective of this study was to evaluate the accuracy of various genotyping methods for predicting the Rh C and to identify a suitable method for the Chinese Han population. METHODS: In total, 317 donors, consisting 223 D+ (including 20 with the Del phenotype) and 94 D- were randomly selected. For RHC genotyping, 48C and 109bp insertion were detected on the Real-time PCR platform and -292 substitution was analyzed via restriction fragment length polymorphism (RFLP). Moreover, the promoter region of the RHCE gene was sequenced to search for other nucleotide substitutions between RHC and RHc. Agreement between prediction methods was evaluated using the Kappa statistic, and comparisons between methods were conducted via the χ2 test. RESULTS: The analysis revealed that the 48C allele, 109bp insertion, a specific pattern observed in RFLP results, and wild-type alleles of seven single nucleotide polymorphisms (SNPs) were in strong agreement with the Rh C, with Kappa coefficients exceeding 0.8. However, there were instances of false positives or false negatives (0.6% false negative rate for 109bp insertion and 5.4-8.2% false positive rates for other methods). The 109bp insertion method exhibited the highest accuracy in predicting the Rh C, at 99.4%, compared to other methods (P values≤0.001). Although no statistical differences were found among other methods for predicting Rh C (P values>0.05), the accuracies in descending order were 48C (94.6%) > rs586178 (92.7%) > rs4649082, rs2375313, rs2281179, rs2072933, rs2072932, and RFLP (92.4%) > rs2072931 (91.8%). CONCLUSIONS: None of the methods examined can independently and accurately predict the Rh C. However, the 109bp insertion test demonstrated the highest accuracy for predicting the Rh C in the Chinese Han population. Utilizing the 109bp insertion test in combination with other methods may enhance the accuracy of Rh C prediction.

Novel missense mutation c.797T>C (p.Met266Thr) gives rise to the rare B(A) phenotype in a Chinese family.

BACKGROUND AND OBJECTIVES: B(A) phenotype is usually formed by nucleotide mutations in the ABO*B.01 allele, with their products exhibiting glycosyltransferases (GTs) A and B overlapping functionality. We herein report a B(A) allele found in a Chinese family. MATERIALS AND METHODS: The entire ABO genes of the probands, including flanking regulatory regions, were sequenced through PacBio third-generation long-read single-molecule real-time sequencing. 3D molecular models of the wild-type and mutant GTB were generated using the DynaMut web server. The effect of the mutation on the enzyme function was predicted by PROVEAN and PolyPhen2. The predictions of stability changes were performed using DynaMut and SNPeffect. RESULTS: Based on serological and sequencing features, we concluded the two probands as possible cases of the B(A) phenotype. Crystallization analysis showed that Thr266 substitution does not disrupt the hydrogen bonds. However, some changes in interatomic contacts, such as loss of ionic interactions and hydrophobic contacts, and addition of weak hydrogen bonds, may have affected protein stability to some extent. This mutation was predicted to have a benign effect on enzyme function and slightly reduce protein stability. CONCLUSION: The probands had the same novel B(A) allele with a c.797T>C (p.Met266Thr) mutation on the ABO*B.01 backbone.

Polymorphisms in the promoter regions of RHD and RHCE genes in the Chinese Han population.

BACKGROUND AND OBJECTIVES: The Rh blood group system is the most polymorphic human blood group system. Previous studies have investigated variants in the RHD and RHCE promoter. The relevance of these variants to the Chinese Han population is further clarified in this study. MATERIALS AND METHODS: In total, 317 donors (223 Rh D-positive [D+], including 20 Del and 94 Rh D-negative [D-]) were randomly selected. The promoter regions and exon 1 of RHD and RHCE were amplified through polymerase chain reaction (PCR) whose products were directly sequenced using forward and reverse primers. RESULTS: Expected PCR products of the RHD promoter and exon 1 were amplified in 223 D+ individuals, including 20 Del individuals, and were absent in 81 of 94 D- individuals. Expected PCR products of RHCE were observed in all donors. Two single nucleotide variants (SNVs) were observed in the RHD promoter region. Moreover, 11 SNVs were observed in the promoter and exon 1 of RHCE. rs4649082, rs2375313, rs2281179, rs2072933, rs2072932, rs2072931 and rs586178 with strong linkage disequilibria were significantly different between the D+ and D- groups. [A;C] was the most common haplotype in the RHD promoter (NC_000001.11:g.[-1033A>G;-831C>T]). [G;T;T;A;T;A;C;G;A;C;G] was the most predominant haplotype in both total and D- groups. In D+ individuals, [A;C;T;G;C;G;C;G;C;C;C] was the most frequent haplotype in the RHCE promoter (NC_000001.11:g.[-1080A>G;-958C>T;-390T>C;-378G>A;-369C>T;-296G>A;-144C>G;-132G>A;-122C>A;28C>T;48C>G]). CONCLUSION: We speculate that the SNVs/haplotypes found in this article cannot significantly affect gene expression. The present study findings should help elucidate the molecular basis of the polymorphic expression of RHD and RHCE promoter regions.

Platelet indices significantly correlate with liver fibrosis in HCV-infected patients.

AIM: A total of 241 patients with chronic HCV infection were recruited to investigate the association between liver fibrosis and PLT counts, as well as with MPV, PDW and P-LCR indices. METHODS: The determination of PLT indices was carried out using a Sysmex XT-1800i automated hematology analyzer. Serological tests for HA, LN, C-IV and PIIINP were performed in 210 patients. The liver stiffness was measured in 69 patients by transient elastography (FibroScan). RESULTS: The analysis showed that the four serum fibrosis markers were negatively correlated with PLT counts, but positively correlated with the MPV, PDW and P-LCR values. Moreover, a similar pattern was found after analyzing the FibroScan measurements, which were negatively correlated with PLT counts, but positively correlated with MPV, PDW and P-LCR values. We subdivided the HCV-infected patients into mild and advanced fibrosis groups. The PLT counts were significantly decreased and the MPV, PDW and P-LCR values were significantly increased in the advanced fibrosis group when compared with the mild fibrosis group. CONCLUSIONS: Our results demonstrate that not only the PLT counts but also the MPV, PDW and P-LCR indices significantly correlate with liver fibrosis in HCV-infected patients. Therefore, these indices may be useful laboratory measures for evaluating liver fibrosis progression.

Atypical Chemokine Receptor 1 Polymorphism can not Affect Susceptibility to Hepatitis C Virus.

BACKGROUND: Hepatitis C virus has infected 130 to 150 million individuals globally. Atypical chemokine receptor 1 has become a focus of research because of its diverse roles in different diseases. However, little is known regarding the association of atypical chemokine receptor 1 polymorphism with susceptibility to hepatitis C virus. AIMS: To determine the association of an atypical chemokine receptor 1 polymorphism (rs12075) with hepatitis C virus susceptibility. STUDY DESIGN: Case-control study. METHODS: We collected blood samples from 231 patients infected with hepatitis C virus and 239 blood donors as control subjects. Genotyping of atypical chemokine receptor 1 was performed using a 5'-nuclease assay with TaqMan-minor groove binding probes. Comparisons between hepatitis C virus-infected patients and control subjects were assessed using Fisher's exact test. RESULTS: The genotype frequencies of FY*A/FY*A, FY*A/FY*B and FY*B/FY*B were 86.1%, 13.9% and 0% in the patient group, and 86.2%, 13.4% and 0.4% in the control group, respectively. The difference in atypical chemokine receptor 1 genotype frequencies between hepatitis C virus-infected patients and control group was not significant (p=1.00, OR=1.004, 95% CI=0.594-1.695). FY*A and FY*B allele frequencies were 93.1% and 6.9% in the patient group, and 92.9% and 7.1% in the control group, respectively. The difference in atypical chemokine receptor 1 allele frequencies between hepatitis C virus-infected patients and the control group was not significant (p=1.00, OR=0.972, 95% CI=0.589-1.603). CONCLUSION: Our result indicates that atypical chemokine receptor 1 polymorphism (rs12075) does not affect susceptibility to hepatitis C virus.