Objective To investigate the association between environmental factors and nonsyndromic cleft lip and palate (NSCLP), and to explore the interaction of main risk factors in Chinese Guangdong population. Methods A hospital-based case-control study was used. NSCLP children were selected from Cleft Lip amp; Palate Treatment Centre of Second Affil iated Hospital of Medical College of Shantou University between September 2009 and March 2010 as cases. And controlswere chosen from other departments in the same hospital during the same period. The parents of cases and controls were inquired regarding the risk factors and the answers were filled in a unification questionnaire by physicians. These data were analysed with chi-square test and multivariate unconditional logistic regression analysis. Results A total of 105 cases and 110 controls with a mean age of 2.2 years and 3.0 years, respectively, were enrolled. Multivariate logistic regression analysis revealed that genetic family history (OR=4.210, P=0.039), mothers’ abnormal reproductive history (OR=2.494, P=0.033), early pregnancy medication (OR=3.488, P=0.000), and maternal stress (OR=3.416, P=0.011) were risk factors. There were positve interactions between genetic family history and mothers’ abnormal reproductive history as well as early pregnancy medication. Conclusion Certain influencing factors including genetic family history, mothers’ abnormal reproductive history, early pregnancy medication, and maternal stress are associated with NSCLP among Chinese Guangdong population. This study suggests that it may reduce the incidence rate of NSCLP through environmental intervention.
Objective To reveal the association between the single nucleotide polymorphism (SNP) of v-maf musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) gene rs17820943 locus and non-syndromic cleft l ip with or without cleft palate (NSCL/P) in the southern Chinese Han population. Methods Genotyping of MAFB gene rs17820943 polymorphism was carried out in 300 patients with NSCL/P, 354 normal controls, and an additional 168 case-parent trios with matrix-assisted laser desorption/ionisation time-of-fl ight (MALDI-TOF) mass spectrometry. Then based on the genotypingresults, both a case-control association study and a case-parent trio association study were performed. Results Significant differences were found in the allele and genotype frequencies of rs17820943 locus between case and control groups (Pallele=0.001 and Pgenotype=0.002, respectively). To be specific, the odds radio (OR) values and 95% confidence interval (95%CI) of allele T (frequencies of cases ∶ controls = 0.358 ∶ 0.448) and genotype TT (frequencies of cases ∶ controls = 0.110 ∶ 0.195) were ORT = 0.69 (95%CI: 0.55-0.86) and ORTT = 0.43 (95%CI: 0.26-0.70), respectively. Subsequent case-parent trio analysis also indicated an association between MAFB rs17820943 variant and the risk of NSCL/P (ORT vs. C = 0.55, 95%CI: 0.41-0.75, P value of transmission disequilibrium test was 0.000). Conclusion Polymorphism of MAFB gene rs17820943 locus is associated with NSCL/P in the southern Chinese Han population; MAFB rs17820943 variant may be a susceptible gene of NSCL/P.
Traditional biomedical data analysis technology faces enormous challenges in the context of the big data era. The application of deep learning technology in the field of biomedical analysis has ushered in tremendous development opportunities. In this paper, we reviewed the latest research progress of deep learning in the field of biomedical data analysis. Firstly, we introduced the deep learning method and its common framework. Then, focusing on the proposal of biomedical problems, data preprocessing method, model building method and training algorithm, we summarized the specific application of deep learning in biomedical data analysis in the past five years according to the chronological order, and emphasized the application of deep learning in medical assistant diagnosis. Finally, we gave the possible development direction of deep learning in the field of biomedical data analysis in the future.
Objective To investigate the feasibility of human amniotic membrane-living skin equivalent (AM-LSE) in repairing the skin defect. Methods A 5-year-old boy with giant nevus at neck, shoulder, and back was admitted in July 2016. Normal skin tissue of the patient was harvested and keratinocytes and dermal fibroblasts were separated and expanded in vitro. Human AM was donated from a normal delivery and de-epithelialized for constructing an LSE as a matrix. Keratinocytes were seeded on the epithelial side of the AM which was previously seeded with fibroblasts on the stromal side and then the complex was lifted for air-liquid surface cultivation for 10 days and observed under naked eyes and sampled for histological study. The nevus was excised to deep fascia and the skin defect in size of 20 cm×15 cm was covered with artificial skin of collagen sponge for 2 weeks to enhance granulation tissue formation, and then the AM-LSE grafts of stamp size were grafted on. The dressing was changed until the wound healed. Results After 10 days of air-liquid surface cultivation, the AM-LSE developed a multilayered and differentiated epidermis with the fibroblasts-populated amnion as the dermal matrix. The LSE stamps survived and expanded to cover the whole wound. The grafted area showed normal skin color and soft contexture at 6 months after operation, and histological study showed well developed epidermis with compactly aligned basal cells, stratified and well differentiated squamous, granular layers and stratum corneum and well vascularized dermal compartment without inflammatory cells infiltration. Conclusion The cultivated AM-LSE with autologous cells can repair skin defect and survive for a long term without rejection.