Objective:To compare the effects of standard cognitive behavioral therapy for insomnia (CBT-I) and enhanced cognitive behavioral therapy for insomnia(CBT-I Plus) in patients with chronic insomnia disorder comorbid anxiety or depressive symptoms.Methods:This prospective study included 148 patients with chronic insomnia disorder and anxiety/depression symptoms who were treated at the Sleep Disorder clinic of Shanghai Mental Health Center between July 2020 and August 2023. Participants (56 males, 92 females; aged 18-65 years, mean age 35.08±10.30 years) were randomly assigned in a 1∶2 ratio to the CBT-I group ( n=54) or CBT-I Plus group ( n=94). The CBT-I Plus group received additional treatments targeting anxiety and depressive symptoms. Treatment lasted 8 weeks, with assessment conducted at baseline, weeks 2, 4, and 8. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HAMD 17), anxiety severity with the Hamilton Anxiety Scale (HAMA), and sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Paired sample t-tests were used to evaluate within-group changes, repeated-measures ANOVA compared treatment effects between groups, and ANCOVA was employed to adjust for confounding variables. Results:Significant reductions in PSQI, HAMD 17, and HAMA scores were observed in both groups after treatment: CBT-I group: PSQI ((14.15±2.54) vs. (7.50±3.35), t=13.25), HAMD 17 ((14.70±4.09) vs. (7.40±4.61), t=9.33), and HAMA ((14.94±4.11) vs. (5.56±3.67), t=12.38) (all P<0.001).CBT-I Plus group: PSQI ((14.87±3.01) vs. (7.19±3.86), t=18.75), HAMD 17 ((16.84±3.91) vs. (6.84±4.79), t=17.42), and HAMA ((15.57±3.93) vs. (6.10±4.57), t=18.39) (all P<0.001). After adjusting for HAMD 17 scores and medication use, no statistically significant between-group differences were observed in changes in PSQI, HAMD 17, and HAMA scores ( P>0.05). A significant time-by-group interaction was found for the PSQI daytime dysfunction subscale ( F=4.87, P<0.01). Conclusion:Both CBT-I and CBT-I Plus improve sleep and emotional symptoms in patients with chronic insomnia disorder and comorbid anxiety/depression symptoms. However, CBT-I Plus has no significant advantages over standard CBT-I. Further studies are needed to refine the timing and content of interventions.

Objective To provide basis for the formation of acute exacerbation of chronic obstructive pulmonary disease(AECOPD-STES),the item weight of the syndrome therapeutic evaluation scale for AECOPD-STES was determined.Methods Based on the clinical survey data of 387 AECOPD patients,the random forest method was adopted,and the Spyder integrated development environment.Anaconda navigator software was used to call the"random forest Classifier"in the sklearn package to establish the initial random forest model and calculate the item weights.Factor analysis was used to extract common factors with cumulative variance contribution>80%,and the item weight was calculated according to the cumulative variance contribution and component score coefficient of common factors.The percentage weight method was used to calculate the item weight based on the importance score of each item by 29 experts.Finally,40%,30%and 30%of the above three methods were given respectively to determine the final weight of the items.Results The random forest method showed that the weights of wind cold syndrome,cold Yin syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.014-0.170,0.076-0.194,0.017-0.183,0.010-0.183 and 0.069-0.298,respectively.Factor analysis showed that the weights of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.030-0.111,0.100-0.182,0.037-0.095,0.022-0.141 and 0.054-0.185,respectively.The percentage weight method shows that the weight ranges of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.072-0.102,0.146-0.182,0.057-0.077,0.075-0.111 and 0.115-0.185,respectively.According to the three methods,the weights of wind cold syndrome,cold yin Syndrome,phlegm heat syndrome,phlegm dampness syndrome and blood stasis syndrome were 0.050-0.121,0.117-0.174,0.040-0.117,0.056-0.130 and 0.092-0.188,respectively.Conclusion This study determined the weight of each item of AECOPD-STES,providing a basis for the calculation of syndrome score.

Myxomatous mitral valve degeneration(MMVD)is one of the important pathogenic factors of primary mitral regurgitation.The pathological manifestations of MMVD include thickening,redundancy,and prolapse of the valve leaflets,which lead to structural and functional abnormalities of the mitral valve,eventually cause mitral regurgitation.The pathogenesis of MMVD involves abnormalities in three main cell types:valvular interstitial cells,endothelial cells,and monocyte-macrophages.Therefore,a deep understanding of the regulatory mechanisms of these cell types in MMVD is crucial for the diagnosis and treatment of MMVD.This article provides a comprehensive review of the normal tissue structure characteristics of the mitral valve,the morphological features of MMVD,and the research progress on the regulatory roles of the aforementioned cell types in MMVD,aiming to provide a scientific basis for early intervention and precise treatment of MMVD.

Objective To investigate the distribution of serum specific IgG antibodies against food in children with autism spectrum disorders(ASD),and provide experimental evidence for improving gastrointestinal symptoms of ASD children.Methods A retrospec-tive study was conducted on 411 children with ASD visited the Department of Psychology and Behavior of Hebei Children's Hospital from January 2021 to December 2022.Additionally,631 healthy children who underwent physical examination during the same period were collected as the healthy control group.Their venous blood samples were collected,and ELISA was used to detect the levels of 14 kinds of serum specific IgG antibodies against food.The distribution characteristics of food intolerance in children with different genders and ages were investigated.Results The total positive rate of specific IgG antibodies against food in children with ASD reached 91.84%(405/441).The top 3 positive rates of specific IgG antibodies were against egg(71.89%),milk(56.70%),and wheat(56.02%),respectively,which were significantly higher than those in the healthy control group(χ2=42.81,27.48,and 26.88,re-spectively,P＜0.05).The comparative results of gender composition showed that the positive rate of specific IgG antibody against rice in female ASD children(15.96%)was significantly higher than that in male ASD children(4.90%,χ2=11.84,P＜0.05).The posi-tive rates of specific IgG antibodies against egg and wheat in male and female ASD children were significantly higher than those in the healthy control group(χ2=19.44 and 4.42 for males,χ2=4.66 and 10.93 for females,P＜0.05).The positive rate of specific IgG anti-body against milk in male ASD children was significantly higher than that in the healthy control group(χ2=12.62,P＜0.05),while those against soybean and rice in female ASD children were also significantly higher than that in the healthy control group(χ2=7.00 and 5.42,P＜0.05).There were significant differences in the positive rates of food intolerance to milk and soybean in ASD children with different ages(χ2=13.74 and 9.70,P＜0.05)and they decreased with age.The positive rates of specific IgG antibody against wheat in ASD children aged 2-3 and 4-6 years were significantly higher than those in the healthy control group(χ2=5.78 and 4.55,P＜0.05).The positive rate of specific IgG antibody against milk in ASD children aged 4-6 years was significantly higher than that in the healthy control group(χ2=7.57,P＜0.05).Conclusion The highest positive rate of specific IgG antibodies against food in ASD chil-dren is against egg,which is not related to the patient's gender.Next are milk and wheat.The gastrointestinal issues and related food intolerance should be taken into account in the management of patients with ASD.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective:To analyze the safety and short-term efficacy of thoracic radiotherapy combined with anlotinib in the treatment of inoperable non-small cell lung cancer (NSCLC).Methods:A prospective study was conducted on patients with unresectable locally advanced NSCLC who were intolerant to concurrent chemoradiotherapy and treated at the Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, from October 2020 to September 2023. Anlotinib was administered orally concurrently with radiotherapy (days 1-14, 21 days per cycle, for 3 cycles). Adverse effects and short-term tumor recurrence were observed from the beginning of radiotherapy to the 3-month post-radiotherapy. Kaplan-Meier method was used to calculate progression-free survival (PFS) and overall survival (OS) rates from the date of initial treatment (induction therapy), and intergroup comparisons were performed using the log-rank test.Results:The median age was 62 years (range:42-76 years), with a male predominance ( n=36, 88%) of the included 41 patients. The incidence of grade 3-4 acute hematologic adverse events was 20% (8 cases); the incidence of grade 3 hemoptysis was 2% (1 case), with no grade 4 hemoptysis; the incidence of grade 3-4 radiation pneumonitis was 10% (4 cases). No grade 5 adverse events were observed in the entire cohort. With a median follow-up of 19.7 months (range: 7.1-50.1 months), 19 patients (46%) experienced recurrence, including 4 patients (10%) with local recurrence, 6 patients (15%) with regional lymph node recurrence, and 11 patients (27%) with distant metastases. The 1-year PFS rate was 78.3%. 8 patients (20%) died, including 3 patients died from COVID-19 infection during the follow-up period, 1 patient who died from hypostatic pneumonia due to prolonged bed rest after cerebral infarction, and 4 patients died from tumor-related causes. The 1-year OS rate was 78.0%. Conclusions:Thoracic radiotherapy combined with anlotinib demonstrates good safety, manageable adverse events, and favorable short-term efficacy in NSCNC patients intolerant to concurrent chemoradiotherapy.

Metagenomic next-generation sequencing (mNGS) has emerged as a pivotal tool in the detection and characterization of infectious pathogens in clinical settings, and it has been applied to donor assessment. This case report describes the effective application of mNGS in preventing the transplantation of organs from a donor infected with the rabies virus, who presented with myocarditis. The rapid and accurate identification of the rabies virus through mNGS potentially averted the risk of transmission to organ recipients.

Objective:To explore the effects and safety of Qigong Pills in IVF-ET outcome of PCOS infertility patients with phlegm-dampness type.Methods:A randomized controlled trial study was carried out. In the Reproductive and Genetic Medicine Center of Dalian Women and Children Medical Center (Group) from January 2021 to December 2023, 60 patients with sputum and damp-induced PCOS infertility assisted by in-vitro fertilization and embryo transfer (IVF-ET) were enrolled and randomly divided into 2 groups by block randomization method, with 30 cases in each group. Patients in both groups took ethinylestradiol cyproterone tablets orally on the 2nd to 5th day of the 1st menstrual cycle before IVF-ET cycle, and received down-regulation treatment on the 18th to 20th day of menstruation. After confirming that the down-regulation standard was reached, Qigong Pills was added to the treatment group, and placebo was taken orally until the trigger day. Two groups of patients underwent transvaginal ultrasound-guided ovarian aspiration after injection of chorionic gonadotropin (hCG) for 24-36 h. The total amount of Gn, the days of Gn, the endometrial thickness of HCG, the number of eggs obtained, the rate of diprokaryotic (2PN) fertilization, the number of transferable embryos, the number of high-quality embryos, the rate of high-quality embryos, the incidence of OHSS and the clinical pregnancy rate were compared between the two groups.Results:Among the 60 patients, 28 cases in the final treatment group and 27 cases in the control group were included in the outcome index evaluation. During controlled hyperstimulation (COH), the total Gn [2 025 (1 575, 2 325) U vs. 2 700 (2 025, 3 150) U, Z=-3.67] and the number of Gn days of the treatment group [10 (8,11) d vs. 11 (9,13) d, Z=-2.31] were lower than those in control group ( P<0.001 or P<0.05). There was no statistical significance in endometrial thickness between 2 groups on HCG day ( P>0.05); the number of high-quality embryos [3 (3, 4) vs. 2 (2, 3), Z=0.11] and the rate of high-quality embryos [46.28% (87/188) vs. 35.19% (57/162), Z=4.42] in the treatment group were higher than those in the control group ( P<0.05). There was no statistical significance in the number of eggs obtained, the fertilization rate of 2PN and the number of transferable embryos between the two groups ( P>0.05). The incidence of OHSS was 3.6% (1/28) in the treatment group and 11.1% (3/27) in the control group, without statistical significance ( P=0.352). The clinical pregnancy rate was 53.6% (15/28) in the treatment group and 37.0% (10/27) in the control group, without statistical significance ( P=0.218). There was no significant difference in the safety indexes of liver and kidney function between 2 groups ( P>0.05). Conclusion:Qigong Pills combined with IVF-ET can effectively reduce the total amount of Gn and the number of days of treatment in PCOS infertility patients with phlegm-dampness type, increase the number and rate of high-quality embryos, and improve the outcome of IVF-ET, and it is safe and effective.

Objective Depression,a most common psychiatric disease,is defined in Traditional Chinese Medicine(TCM)as Yu Syndrome,i.e.,depression disorder,or Baihe Disease,i.e.,lily bulb disease,a category of emotional disorders treated with lily-based TCM preparations.In TCM,depression is managed through syndrome differentiation and treatment,which is characterized by high efficacy and safety.However,there is no unified standard for the classification of depression syndromes,which leads to a disconnection between the analysis of patients'medication patterns and their actual syndromes and hinders the study of medication patterns specific to particular syndromes.Therefore,this study is focused on investigating the medication patterns of different sub-types of depression patients based on an objective classification system of depression.Methods We searched for and retrieved clinical literature on TCM formulas for depression from relevant databases,including China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP Database,Sinomed,Web of Science,and PubMed.Information on patient symptoms and medication was standardized.Then,the symptoms and the medication frequency of depression patients were statistically analyzed.We used the K-means clustering method combined with implicit structural analysis to objectively categorize depression patients into sub-types.In addition,the main symptoms and core TCM formulas of each sub-type of depression patients were identified.On the basis of objective classification system,we also statistically analyzed the characteristics of herbs used on depression patients,including the 4 basic properties,the 5 flavors,the attributes,the therapeutic efficacy,and the co-occurrence patterns,which may help reveal the medication patterns.Results A total of 3 537 publications and 4 434 prescriptions were included in the analysis.By using the K-means algorithm and latent structure analysis methods,patients with depression were categorized into 9 sub-types,with Cluster 6 accounting for the largest proportion.The most common symptoms among depression patients were insomnia and a depressed mood.Medication frequency analysis showed that Radix Bupleuri(Chai Hu),Radix Paeoniae Alba(Bai Shao),Poria(Fu Ling),Rhizoma Chuanxiong(Chuan Xiong),and Radix Curcumae(Yu Jin)were the most commonly used TCM herbs.For the depression sub-types of Clusters 1,2,and 6,blood-activating and stasis-dissolving herbs were used most often.The depression sub-types of Clusters 3,4,5,8,and 9 were mainly treated with qi-regulating herbs,while the depression sub-type of Cluster 7 was treated with qi-supplementing herbs.Depression patients were mostly treated with herbs that were cold or warm in nature and had sweet,bitter,and pungent flavors.Moreover,treatments for Cluster 1 and Cluster 6 mainly targeted the spleen meridian,while those for Cluster 2,Cluster 3,Cluster 4 and Cluster 5 mainly targeted the heart meridian.The treatments for the other sub-types mainly targeted the liver meridian.The core TCM formulas for the 9 depression sub-types included Zishui Qinggan Decoction,Danzhi Xiaoyao Powder,Huanglian Wendan Tang,Chaihu Guizhi Tang,Modified Xiaoyao Powder,Qinggan Jieyu Tang,Xiaoyao Powder,Xuefu Zhuyu Decoction,and Bazhen Decoction.The most commonly used Chinese herbal medicinal formulas were Gan Cao-Chai Hu,Bai Shao-Chai Hu,and Chen Pi-Chai Hu.Conclusion Based on machine learning,this study reveals the scientific aspects of TCM typing and syndrome-based treatment.It clarifies the rationale for targeting different symptoms in depression treatment and provides theoretical support for clinicians to make medication prescriptions.It also presents a new perspective for investigating TCM medication patterns.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.