Given the current ethical issues such as unknown high risks in the clinical application of new biomedical technology， thus， medical institutions need to establish new technology management systems， including clarifying the concept， the assessment and admission mechanism， and ethical management systems of new technology. According to the direction of the development of new technology in the medical institution， the ethics review committee should also perfect the management system of ethics committees and the professional composition of ethics review committee members， improve the ability of ethics committee members to evaluate new biomedical technology， increase the assessment of ethical risks of new technology in the preliminary review stage， strengthen the requirements for emergency plan formulation， as well as set the frequency of the follow-up review based on the risk level of new technology. The ethics review committee should work together with the medical management department to formulate an ethical standardization training system for the clinical application of medical technology in the institution， and regularly conduct training for all staff， to promote medical workers’ understanding of the management requirements of biomedical technologies. Different types of new biomedical technology have different ethical risks. Therefore， the medical management departments and ethics review committees of medical institutions should formulate specific management rules based on the characteristics of new technology types. However， it should be noted that when new biomedical technology generally is first introduced into clinical practice， there are often issues regarding fairness and justice in the use of the technology.

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

ObjectiveTo investigate the expression level of lysophosphatidyllecithin acyltransferase 4 （LPCAT4） in pancreatic cancer and its effect on the proliferation of pancreatic cancer cells. MethodsIn this study， the differentially expressed genes of patients with KRAS mutant and wild-type pancreatic cancer were analyzed by online database LinkedOmics. The LPCAT4 expression in pancreatic cancer tissues was analyzed online by the University of Alabama at Birmingham Cancer Data Analysis （UALCAN）， Sangerbox and gene expression profile interaction analysis 2 （GEPIA2）. Kaplan-Meier Plotter database was used to explore the correlation between LPCAT4 and the prognosis of patients with pancreatic cancer. The expression of LPCAT4 in human pancreatic cancer cells were detected by quantitative real-time PCR and Western blot analysis. LPCAT4 was knocked down in the high-expressing SW1990 cell line and overexpressed in the low-expressing MIA PaCa-2 cell line. The effects of LPCAT4 expression on cell proliferation were assessed using CCK-8 and EdU assays. STRING and GEPIA2 databases were used to obtain LPCAT4 binding and coexpressed genes in tumors， which were then analyzed by GO and KEGG. ResultsAnalysis of the LinkedOmics online database revealed a significant upregulation of LPCAT4 in patients with KRAS mutant pancreatic cancer compared to patients with KRAS wild-type pancreatic cancer. The online analysis of GEPIA2， UALCAN and Sangerbox 3.0 showed that the expression of LPCAT4 was higher in pancreatic cancer than in normal tissues. Analysis of the Kaplan-Meier Plotter database revealed that high LPCAT4 expression was associated with poorer prognosis in pancreatic cancer patients.Western blot and qPCR results showed that expression of LPCAT4 in pancreatic cancer cell lines was significantly higher than in normal pancreatic ductal epithelial cells. Knockdown of LPCAT4 in SW1990 cells inhibited proliferation， while overexpression in MIA PaCa-2 cells promoted proliferation. Enrichment analysis indicated that LPCAT4 was closely related to sulfur metabolism. ConclusionsLPCAT4 is highly expressed in pancreatic cancer and is associated with poor prognosis of patients. It plays a significant regulatory role in the proliferation of pancreatic cancer cells， with its expression level closely correlated with cell proliferation capacity. These findings reveal the critical role of LPCAT4 in the malignant progression of pancreatic cancer and provide important evidence for its potential as a therapeutic target.

ObjectiveTo explore the potential mechanism of Dingchuan Granule （定喘颗粒， DG） in the treatment of respiratory syncytial virus （RSV） pneumonia. MethodsA total of 60 male Sprague Dawley （SD） rats were randomly divided into control group， model group， ribavirin group， DG low-dose group， DG middle-dose group， and DG high-dose group， with 10 rats in each group. Except for the control group， rats were administrated with RSV via intranasal drip. After model establishment， the DG low-， middle-， and high-dose groups were administrated via oral gavage with DG at 3.47， 6.93， and 13.86 g/（kg·d） respectively， while the ribavirin group was administrated via oral gavage with ribavirin at 15.75 mg/（kg·d）. The drug was given once daily for one week. The rats in the control group and the model group were not given any drug， only subjected to the grasping action. Twenty-four hours after the last administration， the pathological changes of lung tissues were observed and scored using HE staining. The levels of serum inflammatory factors， including tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6）， were detected by colorimetry. The protein levels of nuclear factor （erythroid derived 2）-like 2 （Nrf2）， Kelch-like ECH-associated protein 1 （Keap1）， heme oxygenase 1 （HO-1）， and NAD（P）H quinone dehydrogenase 1 （NQO1） in lung tissues were measured by Western Blot. The RSV load as well as the gene expression levels of Nrf2， Keap1， HO-1， and NQO1 in lung tissues were determined by qRT-PCR. The level of reactive oxygen species （ROS） in rat lung tissues was detected using chemiluminescence. The levels of glutathione （GSH） and malondialdehyde （MDA） in rat lung tissues were measured by a microassay. ResultsCompared with the control group， other groups had significant increases in pathological score of lung tissue， RSV load， levels of ROS， MDA， serum TNF-α， IL-1β， and IL-6； decrease in GSH level， increases in expression level of Keap1 protein and its mRNA in lung tissue， and significant decrease in levels of Nrf2， HO-1， expression level of NQO1 protein and its mRNA （P＜0.05）. Compared with the model group， all the above-mentioned indicators in the DG low-， middle-， and high-dose groups and the ribavirin group were improved to varying degree （P＜0.05）. The levels of serum TNF-α， IL-1β， and IL-6 in rats of DG dose groups showed a dose-dependent pattern， the DG high-dose group exhibiting the best effect （P＜0.05）. The DG high-dose group was superior to the DG low- and middle-dose groups in reducing the levels of ROS and MDA， and increasing the level of GSH in lung tissues （P＜0.05）. The DG high-dose group and the ribavirin group had better effect than the DG middle-dose group in reducing the RSV load （P＜0.05）. The DG high-dose group was superior to the ribavirin group in improving the protein levels of Nrf2， Keap1， HO-1， and NQO1 （P＜0.05）. ConclusionDG could inhibit oxidative stress by regulating the Nrf2/Keap1/HO-1/NQO1 signaling pathway to improve pulmonary inflammation and treat RSV pneumonia， with the DG high-dose group showing the best effect.

Objective To explore the construction idea and application method of knowledge base and knowledge mining system for the prevention and treatment of diseases in traditional Chinese medicine.Methods Guided by the theory of traditional Chinese medicine(TCM),firstly,the knowledge system of TCM Prevention and treatment was sorted out,and the structure and relationship of TCM Prevention and treatment knowledge base were designed according to the classification method of TCM Prevention and treatment;Secondly,according to the needs of pre treatment research,the ancient and modern literature data sources and knowledge collection methods of TCM pre treatment database are proposed;Then,under the framework of the pre treatment classification system,the core knowledge is studied in the aspects of professional annotation,relationship extraction,knowledge audit,and a variety of data mining algorithms are introduced to analyze and mine the knowledge;Finally,the massive data obtained are combined with big data analysis and computer machine learning to realize intelligent information collection,disease analysis and diagnosis and treatment suggestions.Results Under the guidance of traditional Chinese medicine theory,the knowledge base of traditional Chinese medicine for prevention and treatment of diseases can digitize,digitize and intellectualize the basic knowledge and clinical knowledge of traditional Chinese medicine for prevention and treatment of diseases,and can objectively mine and analyze the data,providing a basis for the service and sharing of knowledge of traditional Chinese medicine for prevention and treatment of diseases.Conclusion The knowledge base of TCM Prevention and treatment is an important way for the digital storage of TCM Prevention and treatment knowledge,and provides literature knowledge support and objective evidence of data mining for TCM Prevention and treatment research.

Objective To explore EEG characteristics and the therapeutic effect in children with electrical status epilepticus during slow sleep(ESES).Methods The eligible ESES cases in our center from 2014 to 2020 were included.The age at diagnosis of ESES,the duration of ESES,spike wave index(SWI)during wakefulness and the distribution of spike wave during the period of ESES,age at seizure onset,the clinical syndromes and the outcomes after treatment were analyzed.The ESES cases were divided into 4 groups according to the distribution of spike wave:focal ESES,unilateral ESES,bilateral asymmetric ESES,multiple foci ESES.The SWI during the awake stage were divided into 3 groups based on the different rates:≤20%,21%～49%,≥50%.The therapeutic outcomes were classified into three groups:satisfactory response,seizure control and ineffective.Results 50 cases were included,with 32 males and 18 females.The average onset age of ESES was 6 years and 7 months,and the average duration of ESES was 28 months.A significant correlation between the distribution of ESES and the thera-peutic effects was found,bilateral asymmetric ESES had a good therapeutic effects,while multiple foci ESES showed a poor therapeutic effects.The duration of ESES was significantly correlated with therapeutic effects,and the efficacy was worse when the duration was longer than 1 year.A significant relationship between the SWI during wakefulness of ESES and the therapeutic effects was detected,the patient with SWI≤20%during wakefulness had a good therapeutic effect.There was a negative correlation between the onset age of ESES and the duration of ESES and SWI index during wakefulness.There was a positive correlation between the duration of ESES and SWI index during wakefulness.Conclusion Our results suggest that onset age,distribution,duration and SWI during wake-fulness of ESES were correlated with therapeutic outcomes,The patient with SWI≤20%during wakefulness had a good therapeutic effect and have unfavorable outcomes with ESES last more than 1 year.The earlier onset of ESES,the longer duration of ESES and higher SWI during wakefulness will be showed..

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.