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N 6-methyladenosine (m 6A) modification is the most prevalent internal modification of eukaryotic mRNA and is dynamically regulated by a variety of m 6A modifying enzymes, including methylation transferases, demethylases and specific binding proteins. Respiratory viral infections have received much attention in recent years, and the process of virus replication and metabolism in host cells is regulated by m 6A. This article reviews the mechanism of m 6A-regulated enzymes, the roles of m 6A modifications in respiratory viruses replication and the host immune response to viruses, including adenovirus, influenza A virus, severe acute respiratory syndrome coronavirus 2, respiratory syncytial virus, and human metapneumovirus. It would provide a reference for exploring the regulatory role of viral episodic transcriptome modifications and antiviral targets or vaccine development.
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Objective To investigate the changes of clinical indices in chronic hepatitis B (CHB) patients with concomitant minimal hepatic steatosis and related factors for minimal hepatic steatosis. Methods A total of 179 CHB patients who underwent liver biopsy in Department of Infectious Diseases, Affiliated Drum Tower Hospital of Nanjing University Medical School, from July 2018 to March 2022 were enrolled, and according to the degree of steatosis, they were divided into non-steatosis group with 98 patients and minimal hepatic steatosis group with 81 patients. Demographic information, clinical data, and liver histopathology data were collected, and related observation indices were compared between the two groups. The independent samples t -test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test was used for comparison of categorical data between groups. A Spearman correlation analysis was performed, and a Logistic regression analysis was used to investigate the risk factors for minimal hepatic steatosis. Results Compared with the non-steatosis group, the minimal hepatic steatosis group had a significantly higher proportion of male patients (69.1% vs 52.0%, χ 2 =5.390, P < 0.05) and a significantly higher proportion of patients with significant liver fibrosis (43.2% vs 25.5%, χ 2 =6.234, P < 0.05). Compared with the non-steatosis group, the minimal hepatic steatosis group had significantly higher levels of body mass index (BMI) (23.61±2.95 kg/m 2 vs 22.13±2.67 kg/m 2 , t =-4.150, P < 0.05), uric acid (UA) [333.0(291.0-375.5) μmol/L vs 287.5(244.8-345.3) μmol/L, Z =-3.620, P < 0.05], triglyceride [0.92 (0.66-1.14) μmol/L vs 0.77 (0.62-1.02) μmol/L, Z =-2.224, P < 0.05], and controlled attenuation parameter (CAP) [234 (214-258) dB/m vs 218 (201-237) dB/m, Z =-2.867, P < 0.05]. In the group with normal body weight, the patients with minimal hepatic steatosis had significantly higher levels of UA (333.0±63.9 μmol/L vs 291.0±72.8 μmol/L, t =-2.395, P < 0.05) a nd HBV DNA [4.44 (3.51-6.79) log 10 IU/mL vs 3.42 (3.00-5.03) log 10 IU/mL, Z =-2.474, P < 0.05]. BMI (odds ratio [ OR ]=1.223, 95% confidence interval [ CI ] : 1.086-1.378, P =0.001) and UA ( OR =1.006, 95% CI : 1.002-1.010, P =0.008) were risk factors for minimal hepatic steatosis in CHB patients, and UA ( OR =1.007, 95% CI : 1.001-1.013, P =0.022) was a risk factors for minimal hepatic steatosis in CHB patients with normal body weight. Conclusion Compared with the non-steatosis CHB patients, the CHB patients with minimal hepatic steatosis have a significantly higher proportion of patients with significant liver fibrosis and a significantly higher level of CAP. BMI and UA are independent risk factors for minimal hepatic steatosis in CHB patients, and for the CHB patients with normal body weight, elevated UA is closely associated with the onset of minimal hepatic steatosis.
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The detection of early lung adenocarcinoma manifesting as ground glass nodule (GGN) is increasing. The promoting precision targeted therapy arises the need of radiomics (RM) and radiogenomics, a series of noninvasively radiological technology based on multiple modality, to assist the process including determination in diagnosis, treatment and follow-up strategy and release burden in clinical practice. RM, playing an important role in lung adenocarcinoma manifesting as GGN, can provide information towards the different components of the nodules, the analysis of peritumoral areas, the reduction of over diagnosis and treatment, the selection of targeted therapy and follow-up.
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Objective:To evaluate whether underdilated stent could reduce the occurrence of hepatic encephalopathy (HE) after transjugular intrahepatic portosystemic shunt (TIPS) creation.Methods:A total of 197 patients with decompensated liver cirrhosis, who had underwent TIPS creation at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, were analyzed retrospectively, including 110 males and 87 females with age 25-79 (54±11) years old. Uncovered and covered stents with 8 mm diameter were implanted in all subjects, and then dilated by balloon catheters with 6 mm or 8 mm diameter. The patients were divided into two groups, including underdilated group (6 mm, n=105) and control group (8 mm, n=92).Kaplan-Meier curves were used to illustrate cumulative rate of HE, and the differences were assessed with the log-rank test. Multivariate analyses with a Cox regression model were conducted to explore the risk factors for HE. Results:During a median follow-up period of 29 (12-54) months, 16 (15.2%) patients developed HE in the underdilated group and 27 (29.3%) patients in the control group. There was a significant difference in the cumulative rate of HE ( P=0.014), but no statistical differences were found in terms of variceal rebleeding, shunt dysfunction and survival between the two groups ( P=0.608, P=0.659, P=0.968). In multivariated analysis, group assignment (underdilated vs. control, HR=0.291, 95% CI 0.125-0.674, P=0.004) was identified as an independent risk factor for HE after TIPS creation. Conclusion:Underdilated TIPS could reduced the risk of HE compared with completely dilated TIPS, with comparable risk of variceal rebleeding, shunt dysfunction and mortality. And it is worthy of applying this technique to a large sample of patients in clinical practice.
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Objective:To solve the problems in intensity-modulated radiation therapy (IMRT) planning, such as large labor cost and high dependence on the experience of physicists and great inconsistency in the quality of plan, and to discuss an unsupervised automatic treatment planning procedure of IMRT.Methods:The eclipse scripting application programming interface (ESAPI) within the Eclipse treatment planning system (TPS) 15.6 and optimization parameters tree search algorithm (OPTSA) were used to emulate and realize the whole planning process. Interacted with the TPS through ESAPI, relevant dosimetric parameters were input and output. The OPTSA evaluated the plan qualities based on dosimetric parameters of the targets and organs at risk (OARs) and iteratively adjusted the optimization objective parameters to achieve a progressively improving IMRT plan. In order to verify the effectiveness of the automatic planning, twenty historical rectum cancer cases were selected from the clinical database, and the dose distribution and specific dosimetric parameters were compared between the plans generated by the OPTSA and the manual plans under the same constraints.Results:All the auto plans have met clinical requirements. Furthermore, 90% and 10% of the auto plans were deemed as clinically improved and equally compared with the manual plans, respectively. The average CI for the PTV was 0.88 and 0.80 for the auto and manual plans respectively. Compared with the manual plans, the mean doses of all the OARs in the auto plans were reduced by 11% in average. The average elapsed time of automatic planning and manual planning was (28.15±3.61) and (36.7±4.6) min, respectively.Conclusions:The plans created by the proposed algorithm have been shown to be at least as good as the manual plans. In addition, this method can shorten the labor time in plan designing while ensuring the plan quality and consistency of the plan.
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Objective:To develope an automatic volumetric modulated arc therapy (VMAT) planning for rectal cancer based on a dose-prediction model for organs at risk(OARs) and an iterative optimization algorithm for objective parameter optimization.Methods:Totally 165 VMAT plans of rectal cancer patients treated in Peking University Cancer Hospital & Institute from June 2018 to January 2021 were selected to establish automatic VMAT planning. Among them, 145 cases were used for training the deep-learning model and 20 for evaluating the feasibility of the model by comparing the automatic planning with manual plans. The deep learning model was used to predict the essential dose-volume histogram (DVH) index as initial objective parameters(IOPs) and the iterative optimization algorithm can automatically modify the objective parameters according to the result of protocol-based automatic iterative optimization(PBAIO). With the predicted IOPs, the automatic planning model based on the iterative optimization algorithm was achieved using a program mable interface.Results:The IOPs of OARs of 20 cases were effectively predicted using the deep learning model, with no significantly statistical difference in the conformity index(CI) for planning target volume(PTV)and planning gross tumor volume(PGTV)between automatic and manual plans( P>0.05). The homogeneity index (HI) of PGTV in automatic and manual plans was 0.06 and 0.05, respectively( t=-6.92, P< 0.05). Compared with manual plans, the automatic plans significantly decreased the V30 for urinary bladder by 2.7% and decreased the V20 for femoral head sand auxiliary structure(avoidance)by 8.37% and 15.95%, respectively ( t=5.65, 11.24, P< 0.05). Meanwhile, the average doses to bladder, femoral heads, and avoidance decreased by 1.91, 4.01, and 3.88 Gy, respectively( t=9.29, 2.80, 10.23, P< 0.05) using the automatic plans. The time of automatic VMAT planning was (71.49±25.48)min in 20 cases. Conclusions:The proposed automatic planning based on dose prediction and an iterative optimization algorithm is feasible and has great potential for sparing OARs and improving the utilization rate of clinical resources.
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Objective:To assess the three-dimensional dose distribution in radiotherapy plans using the structural similarity index(SSIM), compare the performance of SSIM with commonly used quality assessment indices, and develop a SSIM-based quality assessment method of multiple prescribed doses.Methods:The SSIM was introduced to providea quality score of various voxels by comparing actual and ideal three-dimensional dose data and combining the spatial location information of the voxels. Then the average value in a region of interest (ROI) was calculated as the quality score of the region. Fifty-three cases of cervical cancer were selected to analyze the correlation of the SSIM with the uniformity index (HI), conformity index (CI) of the dose distribution in various ROIs and to explore the capability of the SSIM to reflect the uniformity and conformity of dose distribution.Two types of quality defects were individually introduced into two of 53 radiotherapy plans. Then the two plans were compared with normal plans to characterize the response of the SSIM.Results:There was no correlation between HI and SSIM in positive lymph nodes(PGTVnd) due to the decrease in the HI sensitivity, while there was a significant negative correlation between them in regions where PGTVnd was removed from the planning target volume(PTV, R=-0.86, P<0.01). Meanwhile, there was a significant positive correlation between CI and SSIM in PGTVnd ( R=0.83, P<0.01). Therefore, the SSIM can be used to identify the artificial design defects in plans by determining abnormal dose gradients. Conclusions:Apart from reducing the defects of previous assessment parameters, the SSIM has the capability to assess the quality of radiotherapy plans by combining the uniformity and conformity of dose distribution and can provide accurate feedback on the spatial locations of quality defects.
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Objective: To evaluate the efficacy and safety of portal vein stenting combined with 125I particle strand implantation followed by drug-eluting beads transarterial chemoembolization (DEB-TACE) and molecular-targeted therapy for the treatment of stageⅢa liv-er cancer lacking a blood supply. Methods: A retrospective analysis of 11 patients who had stageⅢa liver cancer lacking a blood sup-ply combined with portal vein tumor thrombosis (PVTT) was conducted from October 2016 to October 2018. All the patients under-went portal vein stenting combined with 125I particle strand implantation, DEB-TACE, and comprehensive treatment containing molecu-lar-targeted drugs. During the follow-up period, all patients were evaluated for stent patency after the implantation and tumor re-sponse after DEB-TACE treatment. The liver function and blood routine changes before and 1 month after the surgery were completed, and the complications were summarized. Results: All 11 patients were judged as stageⅢa liver cancer based on the Chinese staging criteria (2017), Child-Pugh classification grade A and B. The imaging findings indicated that these tumors were hypovascular. The maxi-mum diameter of these lesions was (8.4±4.1) (2.8-14.1) cm, and all patients had PVTT. Among them, there were 4 cases of Cheng's typeⅡand 7 cases of typeⅢ: 6 cases of main PVTT≥50% and 1 case of PVTT<50%. All patients underwent portal vein stenting com-bined with 125I particle strand implantation, DEB-TACE, and comprehensive treatment containing molecular-targeted drugs. Three and 6 months after stent implantation, the patency rate was 100%; 3 months after DEB-TACE treatment, complete response was achieved in 4 (36.4%) patients, partial response was achieved in 5 (45.5%) patients, and stable disease was achieved in 2 (18.2%) patients. No patients exhibited progressive disease. Therefore, the objective response rate was 81.8% and disease control rate was 100%. As for the liver and kidney function and blood routine tests, there were no significant differences between baseline and 1 month after the sur- gery. In addition, no patient had any serious complication during the perioperative period. Conclusions: For patients with stageⅢa liv-er cancer lacking a blood supply and PVTT, a comprehensive treatment strategy including portal vein stenting combined with 125I parti-cle strand implantation, DEB-TACE, and molecular-targeted therapy can restore portal vein blood flow and maintain mid-and long-term stent patency, while effectively killing tumors and controlling tumor growth, which is a safe and effective treatment strategy.
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To develop a method of evaluating bone mass with CT numbers (Hounsfield unit, HU), volumetric mean of CT numbers (HUm) was defined to describe bone mass for the study of bone loss caused by microgravity. Ten femurs in the tail-suspended rats experiment were scanned by CT scanner. And the RUm of the intact, proximal, middle and distal femurs were obtained from these CT data. Then regressive analysis was performed between HUm and bone mineral density (BMD) measured by DXA in those regions. When HU threshold is equal to 400, the correlation between BMD and HUm of the intact femur is the best in all cases (R = 0.887, P <0.001), and the correlation between BMD and HUm of the proximal femur (R = 0.833, P <0.01) is better than those of the middle femur (R=0.683, P<0.05) and distal femur (R = 0.744, P<0.05). Volumetric mean of CT numbers has a good linear relationship with BMD; it can accurately describe bone mass and can be used to evaluate the results of the tail-suspended rats experiment.
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Animales , Ratas , Densidad Ósea , Fémur , Diagnóstico por Imagen , Interpretación de Imagen Radiográfica Asistida por Computador , Tomografía Computarizada por Rayos X , MétodosRESUMEN
The principles, traits, and proceedings of the data-driven methods including principal component analysis, independent component analysis and canonical analysis are summarized. And the aspects of the methods adapted to functional magnetic resonance images(fMRI) data are emphasized.
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Objective To build the linear models for exploring relations between behavior data and functional magnetic resonance image(fMRI) signals of brain during cognitive task and to validate whether it is reasonable.Methods The linear models of behavior data and fMRI signals were built,and the functional regions of brain were detected by tests of corresponding parameters.Experimental data of Stroop tasks were used to study the effects of the models by comparing with the results of SPM.Results The results of Stroop data showed that dorsal lateral prefrontal cortex(Brodmann 9/46),and superior frontal median cortex(Brodmann 8/9) were associated with response time of Stroop tasks,and accorded with SPM results and other reports.Conclusion The models can quantitatively analyze the relations of response time and fMRI signals,providing a new way to explore functional images of cognition.