OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators. METHODS: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation. The proposed constraint term was ablated experimentally to assess the feasibility and validity of the constraint term by accuracy, area under the ROC curve (AUC), sensitivity, and specificity. Cross-validation methods and accuracy, AUC, sensitivity and specificity were also used to evaluate the discriminative performance of this classification model in comparison with other interpolation methods for processing of the missing data. RESULTS: The results of the ablation experiments showed good compatibility among the constraints, and each constraint had good robustness. The cross-validation experiment showed that for identification of ovarian cancer with missing laboratory indicators, the AUC, accuracy, sensitivity and specificity of the proposed multi-constraints representation-based learning classification model was 0.915, 0.888, 0.774, and 0.910, respectively, and its AUC and sensitivity were superior to those of other interpolation methods. CONCLUSIONS The proposed model has excellent discriminatory ability with better performance than other missing data interpolation methods for identification of ovarian cancer with missing laboratory indicators.
Female ; Humans ; Ovarian Neoplasms/diagnosis* ; Machine Learning ; ROC Curve

Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

Bone grafting is a primary method for treating bone defects. Among various graft materials, xenogeneic bone substitutes are widely used in clinical practice due to their abundant sources, convenient processing and storage, and avoidance of secondary surgeries. With the advancement of domestic production and the limitations of imported products, an increasing number of bone filling or grafting substitute materials isentering clinical trials. Relevant experts have drafted this consensus to enhance the management of medical device clinical trials, protect the rights of participants, and ensure the scientific and effective execution of trials. It summarizes clinical experience in aspects, such as design principles, participant inclusion/exclusion criteria, observation periods, efficacy evaluation metrics, safety assessment indicators, and quality control, to provide guidance for professionals in the field.
Humans ; Bone Substitutes/therapeutic use* ; Randomized Controlled Trials as Topic/methods* ; Consensus ; Bone Transplantation ; Research Design

Studies have suggested that the nucleus accumbens (NAc) is implicated in the pathophysiology of major depression; however, the regulatory strategy that targets the NAc to achieve an exclusive and outstanding anti-depression benefit has not been elucidated. Here, we identified a specific reduction of cyclic adenosine monophosphate (cAMP) in the subset of dopamine D1 receptor medium spiny neurons (D1-MSNs) in the NAc that promoted stress susceptibility, while the stimulation of cAMP production in NAc D1-MSNs efficiently rescued depression-like behaviors. Ketamine treatment enhanced cAMP both in D1-MSNs and dopamine D2 receptor medium spiny neurons (D2-MSNs) of depressed mice, however, the rapid antidepressant effect of ketamine solely depended on elevating cAMP in NAc D1-MSNs. We discovered that a higher dose of crocin markedly increased cAMP in the NAc and consistently relieved depression 24 h after oral administration, but not a lower dose. The fast onset property of crocin was verified through multicenter studies. Moreover, crocin specifically targeted at D1-MSN cAMP signaling in the NAc to relieve depression and had no effect on D2-MSN. These findings characterize a new strategy to achieve an exclusive and outstanding anti-depression benefit by elevating cAMP in D1-MSNs in the NAc, and provide a potential rapid antidepressant drug candidate, crocin.

Chronic obstructive pulmonary disease （COPD） is one of the most common chronic diseases of the respiratory system in the clinic. The disease has a long course and is difficult to cure， which seriously threatens human health. Airway mucus hypersecretion （AMH） is an independent risk factor for COPD and has a significant impact on the development and prognosis of the disease. The review finds that the abnormal proliferation of goblet cells and the excessive secretion of mucin are the direct causes of AMH. The pathogenesis of AMH may be closely related to the inhalation of heterogeneous particles， airway inflammation， the imbalance of mucin/water salt ratio， and the regulation of related signaling pathways. Traditional Chinese medicine （TCM） believes that AMH of COPD belongs to the category of lung distension with phlegm-fluid retention syndrome， and the disease is mainly treated from phlegm on the basis of lung distension. This article summarizes the relevant research in the field of TCM in recent years and finds that the single TCM that effectively intervened AMH of COPD is mainly phlegm-resolving TCM， and the main active ingredients of TCM are flavonoids， terpenoids， phenols， and alkaloids. The main TCM compounds are mainly designed to remove heat-phlegm， warmly resolve cold-phlegm， dry dampness to eliminate phlegm， invigorate Qi， promote blood circulation and dispel phlegm， and invigorate lung， spleen， and kidney. Its mechanism of action may be direct inhibition or indirect inhibition of airway epithelial goblet cell metaplasia and mucin expression by inhibiting airway inflammation， regulating aquaporins to correct the imbalance of mucin/water salt ratio， and regulating signaling pathways， so as to reduce mucus oversecretion in COPD. However， there are still some problems. For example， the research mainly focuses on TCM compounds instead of the single TCM or its effective components. The research on the mechanism of action is not thorough enough， and the research results are not interoperable. The clinical transformation rate of basic research is insufficient. This article systematically reviews the research status of AMH in the treatment of COPD with TCM and puts forward some thoughts on the existing problems， so as to provide a reference for clinical rational medication and in-depth research.

Portal vein thrombosis （PVT） refers to thromboembolism that occurs in the extrahepatic main portal vein and/or intrahepatic portal vein branches. PVT is the result of the combined effect of multiple factors， but its pathogenesis remains unclear. Animal models are an important method for exploring the pathophysiological mechanism of PVT. Based on the different species of animals， this article reviews the existing animal models of PVT in terms of modeling methods， principles， advantages and disadvantages， and application.

In the implementation of exemption from ethical review,medical institutions equate exemption from ethical review with no ethical review or simple review,misunderstand the scope of exemption from ethical review,confuse the concepts of de-identification and anonymization,and equate privacy with personal information.The implementation faced challenges such as the coordination of conditions for exempt review with other regulations,the lack of clear decision-making subjects for exempting from ethical review,the legality and compliance of using general informed consent for biological samples and information data,as well as non-traceability and the risk of being re-identified of anonymous information for exemption from ethical review.Measures such as improving relevant laws and regulations,perfecting the construction and management of information databases and biological sample libraries,strengthening the project management and process supervision of exemption from ethical review,and implementing scientific review can ensure the legal and compliant implementation of exemption from ethical review by medical and health institutions.

Objective:To develop a nucleic acid detection system for Helicobacter pylori ( H. pylori) based on recombinase-aided isothermal amplification (RAA) and clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated(Cas13a). Methods:Thirty strains of H. pylori, as well as two strains each of Escherichia coli, Staphylococcus aureus, Enterococcus faecalis, Enterobacter cloacae, and Klebsiella pneumoniae were collected from the Emergency General Hospital between 2021 and 2022. The specific primers and CRISPR RNA (crRNA) required for this newly established method were designed based on the conserved region of the ureC gene of H. pylori. Then, the primer pair that produced the least non-specific products was screened out using agarose gel electrophoresis, and the crRNA sequence with the highest cleavage efficiency was screened according to the fluorescence intensity produced by Cas13a cutting fluorescence probe. The RAA-Cas13a nucleic acid detection system was developed, and the limit of detection and the specificity of which were evaluated by detecting gradient dilutions of H. pylori ATCC 43504 genomic DNA and 5 different clinically common pathogens′ genomic DNA. The consistency with quantitative real-time PCR(qPCR) method was obtained by simultaneously detecting clinical strains using this method and established qPCR method. Two-tailed paired t-test was used to compare the fluorescence results between the two groups, and a P value less than 0.05 indicates a statistically significant difference. Results:The established RAA-Cas13a nucleic acid detection system could detect target DNA as low as 10 copies/μl. within 1 hour ( t=11.05, P<0.01), without cross-reaction with the other 5 clinically common strains. That method also showed good consistency compared to the qPCR method, the kappa coefficient=1. Conclusions:A method combining RAA with CRISPR-Cas13a for detecting H. pylori has been established, which can be used for rapid and sensitive identification of H. pylori infection.

The incidence of invasive fungal diseases has been increasing annually, becoming one of the most serious infectious diseases affecting clinical departments. Currently, the primary indicators for early diagnosis of invasive fungal disease are the 1-3-β-D-glucan test and the galactomannan antigen test, known as the G test and GM test, respectively. The National Health Commission of the People′s Republic of China, in Goal Four of the'National Medical Quality and Safety Improvement Goals′, proposed to'increase the submission rate of pathogen examination before antibiotic treatment in hospitalized patients′, and emphasized the importance of tests such as G test as common clinical mycological diagnostic tools. Moreover, it is of paramount significance for clinical laboratories to ensure the quality of fungal detection. This paper provides a detailed discussion of the key factors affecting the G test and GM test, and the importance of launching the national external quality assessments.

Objective To construct a prognostic risk model for exploring the prognostic value of copper metabolism related genes(CMRGs)in lung adenocarcinoma(LUAD),thereby providing a reference for personalized treatment of LUAD patients.Methods The RNA-seq data of LUAD tissues and adjacent or normal lung tissues were downloaded from the Cancer Genome Atlas(TCGA)database and Genotype-tissue Expression(GTEx)database.The risk scoring model was established using univariate Cox regression analysis,Lasso analysis and multivariate Cox regression analysis,and the receiver operating characteristic(ROC)curves and nomogram were used to evaluate the model performance.The LUAD data in the Gene Expression Omnibus(GEO),the Tumor Immune Single-cell Hub(TISCH)single-cell sequencing analysis,and the Human Protein Atlas(HPA)immunohistochemistry analysis were used for external validation.Additionally,the immune microenvironment and drug sensitivity of high-and low-risk groups were analyzed.Results A risk model consisting of 6 genes was constructed.The overall survival rate of low-risk group was higher than that of high-risk group(P<0.001).ROC analysis showed that the area under curve of the risk model in training set reached 0.729,0.749 and 0.707 at 1-,3-and 5-year,respectively,and the C index of C-index curve was 0.721(95%CI:0.678-0.764).The immune microenvironment differed significantly between high-and low-risk groups(P<0.001),and the drug sensitivity analysis in high-and low-risk groups revealed that there was statistically significant for gemcitabine,gefitinib,crizotinib and savolitinib(P<0.001).Conclusion The risk model constructed with 6 CMRGs enable the prediction of the prognosis of LUAD patients.The immune microenvironment differs in high-and low-risk group,and high-risk patients are more sensitive to drugs such as gemcitabine,gefitinib,crizotinib and savolitinib,which provide a reference for the personalized treatment of LUAD patients.