BM processing, volume reduction, and granulocyte and erythrocyte depletion are important considerations for minimizing the side effects of graft administration and bypassing ABO incompatibility in allogeneic BMT. We used the COBE Spectra cell separator for BM processing in 33 patients suffering from hematologic malignancy and solid tumor (median age 39 years). We processed 42 BM harvests with the aim of maximizing recovery of mononuclear cells (MNC). BM was collected from the posterior iliac crest under general anesthesia. The mean volume of collected BM before filtration was 1,303 ml, and the mean number of collected total nucleated cells (TNC) was 2.61 x 10(8)/kg. The BM processing resulted in a mean recovery of 35.8% (10.1%-78.3%) TNC, 22.3% (1.1%-75.7%) of granulocytes, 78.8% (34.3%-135.2%) of MNC, 77.2% (8.3%-260.0%) of CD34+ cells, and 153.3% (32.9%-464.0%) of colony-forming units (CFU-GM) in the final product. A mean of 98.2% (94.5%-99.5%) of RBC was removed, with a mean of 13.3 ml (5.1-26.2 ml) of RBC in the final product. BM processing using the COBE Spectra cell separator proved to be fast, safe, and effective. However, the reasons for the very wide range of recovery of harvested CD34+ cells and CFU-GM need to be further investigated.
Glioblastoma (GBM) is the highest-grade glioma in astrocytoma. Patients often have poor prognosis due to therapeutic resistance and tumor recurrence. Identification of the genetic factors of GBM could be important contribution to early prevention of this disease. We genotyped 17 tag single-nucleotide polymorphisms (tSNPs) from nine genes in this study, including 72 cases and 302 controls. SNP genotyping was conducted using Sequenom MassARRAY RS1000. Statistical analysis of the association between tSNPs and GBM was performed using the χ (2) test and SNPStats software. The rs3829382 in FLT3 was associated with increased odds of developing GBM using the χ (2) test. When we analyzed tSNPs under different inheritance models, we found rs9642393 in EGFR increased odds of developing GBM in the dominant model. After stratification by gender, we found that rs12645561 in NEIL3 and rs2291427 in ALOX5 were associated with developing GBM. Polymorphisms within FLT3, EGFR, NEIL3, and ALOX5 may contribute to the occurrence of GBM in the Han Chinese population. However, the functional significance of these polymorphisms needs further investigation.
Gout is a common type of arthritis that is characterized by hyperuricemia, tophi, and joint inflammation. Current evidence suggests that heredity contributes to the progression of gout. Previous studies have shown that regulation of the ATP-binding cassette subfamily G member 2 (ABCG2) pathways plays a role in gout occurrence. To investigate and validate potential genetic associations with the risk of gout, we conducted a case-control study. We conducted 143 cases and 310 controls and genotyped seven single-nucleotide polymorphisms (SNPs) in ABCG2 gene. ABCG2 SNP association analyses were performed using SPSS 17.0 Statistical Package, PLINK Software, HaploView software package, and SHEsis software platform. We identified that four susceptibility SNPs were potentially associated with occurrence of gout. Rs2622621 and rs3114018 in ABCG2 can actually increase the risk of gout in log-additive model (rs2622621, odds ratio (OR) = 1.90, 95% confidence interval (CI) 1.39-2.61, p < 0.001; rs3114018, OR = 1.55, 95% CI 1.13-2.13, p = 0.006). We found that rs17731799G/T-G/G and rs3114020 T/C-T/T in ABCG2 can actually increase the risk of gout in dominant model (rs17731799, OR = 1.67, 95% CI 1.05-2.66, p = 0.028; rs3114020, OR = 1.58, 95% CI 1.00-2.51, p = 0.048). The ABCG2 haplotype "GGCTCTC" (OR = 0.46, 95% CI 0.28-0.75, p = 0.0019) decreased the gout risk. Our results, combined with those from previous studies, suggest that genetic variation in ABCG2 may influence gout susceptibility in the Han population.
BackgroundSeveral studies have shown that the clinical phenotypes of dentinogenesis imperfecta type II (DGI-II) may be caused by mutations in dentin sialophosphoprotein (DSPP). However, no previous studies have documented the clinical phenotype and genetic basis of DGI-II in a Mongolian family from China.MethodsWe identified a large five-generation Mongolian family from China with DGI-II, comprising 64 living family members of whom 22 were affected. Linkage analysis of five polymorphic markers flanking DSPP gene was used to genotype the families and to construct the haplotypes of these families. All five DSPP exons including the intron-exon boundaries were PCR-amplified and sequenced in 48 members of this large family.ResultsAll affected individuals showed discoloration and severe attrition of their teeth, with obliterated pulp chambers and without progressive high frequency hearing loss or skeletal abnormalities. No recombination was found at five polymorphic markers flanking DSPP in the family. Direct DNA sequencing identified a novel A→G transition mutation adjacent to the donor splicing site within intron 3 in all affected individuals but not in the unaffected family members and 50 unrelated Mongolian individuals.ConclusionThis study identified a novel mutation (IVS3+3A→G) in DSPP, which caused DGI-II in a large Mongolian family. This expands the spectrum of mutations leading to DGI-II.
A genome-wide association study of gout in European populations identified 12 genetic variants strongly associated with risk of gout, but it is unknown whether these variants are also associated with gout risk in Chinese populations. A total of 145 patients with gout and 310 healthy control patients were recruited for a case-control association study. Twelve SNPs of CLNK and ZNF518B gene were genotyped, and association analysis was performed. Odds ratios (ORs) with 95 % confidence intervals (CIs) were used to assess the association. Overall, we found four risk alleles for gout in patients: the allele "G" of rs2041215 and rs1686947 in the CLNK gene by dominant model (OR 1.66; 95 % CI 1.04-2.63; p = 0.031) (OR 2.19; 95 % CI 1.38-3.46; p = 0.001) and additive model (OR 1.39; 95 % CI 1.00-1.93; p = 0.049) (OR 1.67; 95 % CI 1.19-2.32; p = 0.003), respectively, and the allele "A" of rs10938799 and rs10016022 in ZNF518B gene by recessive model (OR 4.66; 95 % CI 1.44-15.09; p = 0.008) (OR 4.54; 95 % CI 1.23-16.76; p = 0.020). Further haplotype analysis showed that the TCATTCTGA haplotype of CLNK was more frequent among patients with gout (adjusted OR 0.48; 95 % CI 0.24-0.95; p = 0.036). Additionally, polymorphisms of rs2041215, rs10938799, and rs17467273 were also correlated with clinical pathological parameters. This study provides evidence for gout susceptibility genes, CLNK and ZNF518B, in a Chinese population, which may have potential as diagnostic and prognostic marker for gout patients.
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