[Study on the relationship of the haplotypes of programmed cell death 1 gene and ultraviolet history with systemic lupus erythematosus].

OBJECTIVE: To investigate the relationship of gene polymorphisms of programmed cell death 1 gene (PDCD1) and ultraviolet history with systemic lupus erythematosus (SLE) among the Han population in the southern region of yangtze river in China. METHODS: With a case control design, a total of 159 SLE cases and 159 controls were enrolled in this study, and single nucleotide polymorphisms (SNPs) of the PDCD1 gene were determined by PCR-restriction fragment length polymorphism (RFLP). With the aid of the logistic regression model, the effect of gene polymorphism, environmental factor and the interaction between gene and environment were fitted under the recessive, dominant, additive and codominant mode, respectively. RESULTS: Three models were screened as the optimal models under the additive mode and one model under the dominant mode, according to the lowest value of Akaike's Information Criteria (AIC). After the control of age and gender, it was found that the frequency of ultraviolet exposure was higher in cases than in controls with significant difference under all models (P<0.05). For the haplotypes composed of the alleles of PD1.2, PD1.5 and PD1.6, there was significantly higher frequency of G-T-A haplotype (0.1196 vs 0.0363) and lower frequency of A-C-A haplotype (0.4746 vs 0.5399) in cases than that in controls (P<0.05) under the additive mode, and the G-T-A haplotype was associated with an increased risk for SLE (OR=4.319), while A-C-A haplotype was shown as a protective factor for SLE (OR=0.571). Moreover, interaction between A-C-G haplotype and ultraviolet exposure, which was related to an increased risk for SLE (beta5=1.182, Z=2.2898, P<0.05, OR=3.261), was also found under this mode. Additionally, the frequency of G-C-G haplotype was higher in cases than that in controls (0.1287 vs 0.0361) under the dominant mode with statistically significant difference (P<0.05, OR=4.332). CONCLUSION: Authors' results indicate that ultraviolet exposure, G-T-A or G-C-G haplotype and interaction between A-C-G and ultraviolet exposure may be associated with genetic susceptibility to SLE in Han population in the southern region of yangtze river in China under certain genetic modes.

[Interactions between susceptible genes and risk environmental factors in Chinese females with systemic lupus erythematosus].

OBJECTIVE: To explore the interactions of gene polymorphisms of cytotoxic T lymphocyte antigen 4 (CTLA-4) and programmed cell death 1 (PDCD-1) with risk environmental factors in individuals with systemic lupus erythematosus (SLE) from Han nationality female population in South of Changjiang River region of China. METHODS: With a case-only design, a total of 258 cases were enrolled in this study, and single nucleotide polymorphisms (SNPs) of the PDCD-1 and CTLA-4 genes were determined by means of PCR-RFLP. With the aid of Poisson loglinear mode, interactions between gene-gene and gene-environment were fitted under the dominant, recessive, additive and multiple models, respectively. RESULTS: It was found that interaction existed between GG genotype of PD1.6 and UV history under separate inherent models of the recessive mode (OR = 3.714, 95%CI: 1.235 - 11.179) and additive mode (OR = 3.199, 95%CI: 1.023 - 10.004). For CTLA-4 locus, there existed interactions between TT/TC genotype of -1722T-->C and UV history under the dominant model (OR = 4.874, 95%CI: 1.119 - 21.242), and interaction between T allele and UV history was also found under the multiple model (OR = 1.470, 95%CI: 1.047 - 2.065). While, under the additive mode for CTLA-4, it was found that interactions existed between TT genotype of -1722T-->C and UV history (OR = 4.744, 95%CI: 1.037 - 21.737), as well as between TC genotype of -1722T-->C and UV history (OR = 4.973, 95%CI: 1.110 - 22.287). CONCLUSION: The interactions between UV history and polymorphisms of CTLA-4 and PDCD-1 gene for SLE were observed, which indicates that there may be association of their interactions with the development of SLE in Han nationality females population in the south regions of Changjiang River in China.

3D object reassembly using region-pair-relation and balanced cluster tree.

BACKGROUND AND OBJECTIVE: Object reassembly is a key technology in scenarios such as surgical planning and broken object restoration. Based on previous research, this work intends to explore the general tasks of 3D object reassembly, including conventional object reconstruction and bone fracture reduction. METHODS: We introduce an efficient and robust region-pair-relation descriptor, which incorporates strong geometric constraints and remains invariant to rotation and translation. We segment the fractured objects using balanced cluster tree, and develop a coarse-to-fine method for object reassembly. The matching quality of potential region contact pairs at different depths is estimated recursively from the root of the tree. Once the best contact pairs are determined, the least squares method is implemented to obtain the matching results. In addition, we also provide a semi-interactive manipulation to deal with the complex objects. RESULTS: For most types of broken objects, our approach can generate high accuracy matching results within 10 s, with the cluster tree depth equals to 11. It allows the automatic reassembly of different-sized fragments. For bone fracture blocks with cancellous structures, a semi-interactive operation is integrated so that the precise matching can also be achieved in 30 s. CONCLUSION: The proposed framework can be expanded to various object reassembly tasks in either automated or semi-automated manner, including the fracture reduction problem which used to be an intensive manual process. Therefore, our work shows significant advantages in medical applications.