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Background/Aims@#To evaluate the causal correlation between complement components and non-viral liver diseases and their potential use as druggable targets. @*Methods@#We conducted Mendelian randomization (MR) to assess the causal role of circulating complements in the risk of non-viral liver diseases. A complement-centric protein interaction network was constructed to explore biological functions and identify potential therapeutic options. @*Results@#In the MR analysis, genetically predicted levels of complement C1q C chain (C1QC) were positively associated with the risk of autoimmune hepatitis (odds ratio 1.125, 95% confidence interval 1.018–1.244), while complement factor H-related protein 5 (CFHR5) was positively associated with the risk of primary sclerosing cholangitis (PSC;1.193, 1.048– 1.357). On the other hand, CFHR1 (0.621, 0.497–0.776) and CFHR2 (0.824, 0.703–0.965) were inversely associated with the risk of alcohol-related cirrhosis. There were also significant inverse associations between C8 gamma chain (C8G) and PSC (0.832, 0.707–0.979), as well as the risk of metabolic dysfunction-associated steatotic liver disease (1.167, 1.036–1.314). Additionally, C1S (0.111, 0.018–0.672), C7 (1.631, 1.190–2.236), and CFHR2 (1.279, 1.059–1.546) were significantly associated with the risk of hepatocellular carcinoma. Proteins from the complement regulatory networks and various liver diseaserelated proteins share common biological processes. Furthermore, potential therapeutic drugs for various liver diseases were identified through drug repurposing based on the complement regulatory network. @*Conclusions@#Our study suggests that certain complement components, including C1S, C1QC, CFHR1, CFHR2, CFHR5, C7, and C8G, might play a role in non-viral liver diseases and could be potential targets for drug development.
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Preterm birth (PB) is defined as the birth of a baby less than 37 weeks of gestational age. Low birth weight (LBW) is defined as a newborn baby's weight of less than 2 500 g. PB is often accompanied by LBW. Preterm low birth weight (PLBW) is the leading cause of newborn deaths. Periodontal disease (PD) is a chronic oral infectious disease, and it is closely related with general health. Epidemiological data show that PD is a risk factor for PLBW and other adverse pregnancy outcomes. The possible mechanisms include the direct effects of periodontal bacteria, inflammatory reactions, and immune response; however, the exact pathogenetic mechanism involved remains controversial. This article aims to review the research progress on the relationship between PD and PLBW and their underlying mechanisms, as well as the effects of periodontal treatment on PLBW incidence.
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Objective:To examine the adiponectin level in gingival crevicular fluid(GCF)in patients of chronic periodontitis with dia-betes mellitus type 2.Methods:20 patients of diabetes mellitus type 2 with chronic periodontitis(DM&CP),20 of periodontitis(CP) and 20 health subjects(H)were included.The periodontal indexes (SBI,PLI,PD and AL)were measured,GCF samples were quan-tified by periotron 8000,the adiponectin content in GCF was tested by adiponectin ELISA kit.The relationship between the adiponectin level in GCF and the periodontal indexes of the DM&CP patients was analyzed statistically.Results:The adiponectin level in GCF in group DM&CP was significantly lower than that in the other 2 groups(P 0.05).Conclusion:Decrease of adiponectin in GCF may play a role in the development of DM&CP.
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<p><b>OBJECTIVE</b>To analyze the imaging manifestations of third molar (M3) in aged 11, and to explore the relationship of development between M3 and second molar (M2), canine (C).</p><p><b>METHODS</b>A total of 399 cases, aged 11, of West China School of Stomatology in June-August 2010 were selected as the imaging database. The M3, M2, C on the panoramic images were observed and the development degree in 399 was divided. And then the correlation analysis was done.</p><p><b>RESULTS</b>45.5% of M3 in aged 11 was in stage C. 30.8% of M2 was in stage F. 36.1% of C was in stage G. The development of M3 appeared earlier in girls than in boys, and earlier in the mandible than in the maxillary. There was no significant difference between the left and right side. The correlation coefficient between M3 and M2 was 0.437, and the correlation coefficient between M3 and C was 0.132.</p><p><b>CONCLUSION</b>The general trends of the developments of M3 and M2, C were the same. The development of M3 can be used to describe the development of M2 and C, according to the close relationship in radiograph.</p>