OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in breast cancer， and provide a scientific reference for clinical healthcare workers in selecting or developing effective predictive models. METHODS A systematic search was conducted for studies on predictive models of the risk of chemotherapy-induced myelosuppression in breast cancer across the CNKI， VIP， Wanfang， PubMed， Web of Science， Cochrane Library， Embase， and Scopus databases， with a time frame of the establishment of the database to May 7， 2024. Literature was independently screened by 2 investigators， data were extracted according to critical appraisal and data extraction for systematic reviews of predictive model studies， and the risk of bias evaluation tool for predictive model studies was used to analyze the risk of bias and applicability of the included studies. RESULTS There were totally 7 studies， comprising 12 models. Among them， 11 models indicated an area under the subject operating characteristic curve of 0.600-0.908； 2 models indicated calibration. The common predictor variables of the included models were age， pre-chemotherapy neutrophil count， pre-chemotherapy lymphocyte count， and pre-chemotherapy albumin. The overall risk of bias of the 7 studies was high， which was mainly attributed to the flaws in the study design， insufficient sample sizes， inappropriate treatment of variables， non-reporting of missing data， and the lack of indicators for the assessment of the models， but the applicability was good. CONCLUSIONS The predictive performance of risk predictive models for chemotherapy-induced myelosuppression in breast cancer remains to be further enhanced， and the overall risk of model bias is high. Future studies should follow the specifications of model development and reporting， then combine machine learning algorithms to develop risk predictive models with good predictive performance， high stability， and low risk of bias， so as to provide a decision-making basis for the clinic.

Objective To analyze the PLCβ4 gene mRNA expression and its clinical significance in hepatocellular carcinoma (HCC) based on TCGA database. Methods Based on the data on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of nontumor liver tissues) in the TCGA database, Kaplan–Meier method, Cox regression analysis, and immune infiltration analysis were performed to evaluate the relationship between PLCβ4 gene and the clinical characteristics and survival prognosis of HCC patients. Correlation analysis between PLCβ4 gene and 24 types of immune cells was applied to investigate the relationship between PLCβ4 gene and immune cell infiltration and mRNA expression level of TP53 gene, a high-frequency mutation gene in HCC. In addition, paraffin sections of highly, moderately, and poorly differentiated tumor tissues and normal liver tissues from HCC patients were collected. The histopathological observation was carried out via HE staining method, and the expression levels of PLCβ4 and Ki-67 proteins in each clinical sample were verified through the immunohistochemical method. Results The expression level of PLCβ4 gene in HCC was significantly higher than that in normal tissues (P<0.01), and all patients in the PLCβ4 high-expression group had a significantly longer overall survival than those in the low-expression group (P<0.05), which suggested that PLCβ4 substantially affected the prognosis of HCC patients. Correlation analysis showed that the expression level of PLCβ4 gene was highly correlated with immune cell infiltration and the expression level of TP53 gene. As verified by clinical sample experiments, HE staining experiments and immunohistochemical results revealed that PLCβ4 gene expression in HCC tissue samples was significantly higher than that in normal tissues (P<0.001), and it was negatively correlated with the degree of differentiation. Conclusion PLCβ4 may serve as an independent prognostic factor in HCC and is expected to be a novel molecular target for HCC treatment.

OBJECTIVE To construct a prediction model for the efficacy of serotonin-norepinephrine reuptake inhibitor （SNRI） in inpatients with moderate and severe depression by using a machine learning method. METHODS The case records of inpatients with moderate and severe depression treated with SNRI antidepressants were collected from a third-grade class-A hospital in Xinjiang from January 2022 to October 2024； those patients were divided into effective group and ineffective group based on the Hamilton depression scale-24 score reduction rate. After screening the characteristic variables related to the therapeutic efficacy of SNRI drugs through LASSO regression， five prediction models including support vector machine， k-nearest neighbor， random forest， lightweight gradient boosting machine and extreme gradient boosting were constructed using the training set. Bayesian optimization was used to adjust the hyperparameters of these models. The performance of the models was evaluated in the validation set to select the optimal model. The Shapley additive explanations method was used to perform explainable analysis on the best model. RESULTS The medical records from 355 hospitalized patients with moderate and severe depression were collected， comprising 285 cases in the effective group and 70 cases in the ineffective group， resulting in an overall therapeutic response rate of 80.28%. After feature variable screening， five characteristic variables for therapeutic efficacy were obtained， including Hamilton anxiety scale， blood urea nitrogen， combination of anti-anxiety drugs， drinking history， and first onset of the disease. Compared with other models， the random forest model performed the best. The area under the receiver operating characteristic curve was 0.85， the area under the precision-recall curve was 0.87， the accuracy was 0.74， and the recall rate value was 0.75. CONCLUSIONS The random forest model constructed based on five characteristic variables demonstrates potential for predicting the therapeutic efficacy of SNRI antidepressants in hospitalized patients with moderate and severe depression.

Objective To understand the current status of radiation diagnosis and treatment resources and their use in Taiyuan City, China, and provide data support for optimizing resource allocation and standardizing diagnosis and treatment. Methods A census-based approach was implemented using a standardized questionnaire to collect basic information on radiation diagnosis and treatment institutions in Taiyuan City. The number and use frequency of radiation diagnosis and treatment resources were calculated based on the resident population of Taiyuan City at the end of 2023. Results There were a total of 562 radiation diagnosis and treatment institutions in Taiyuan City, with 3970 workers and 1354 pieces of equipment. The numbers of radiation diagnosis and treatment institutions, workers, and equipment per 1 000 000 population were 103, 728, and 248, respectively. There were significant differences in radiation diagnosis and treatment resources among different districts and counties. There were 526 (93.59%) radiation diagnosis and treatment institutions and 25 (96.15%) tertiary hospitals in the six urban districts. All institutions offering nuclear medicine diagnosis and treatment and radiotherapy were located in the urban districts. There were substantial disparities among hospitals of different levels. The average numbers of radiation workers and equipment were in the order of tertiary hospitals (99.42, 17.15) > secondary hospitals (13.31, 4.62) > primary and unrated hospitals (1.43, 1.38). The frequency of radiation diagnosis and treatment in tertiary hospitals was 112 149 per hospital, which is 5 times that of secondary hospitals and 44 times that of primary and unrated hospitals. The use frequency of radiation diagnosis and treatment was 975.79 per 1000 population. The use frequency was 941.12 per 1000 population for X-ray diagnosis, 21.68 per 1000 population for interventional radiology, 8.70 per 1000 population for nuclear medicine diagnosis, 2.33 per 1000 population for nuclear medicine treatment, and 1.95 per 1000 population for radiotherapy. Conclusion There are abundant radiation diagnosis and treatment resources in Taiyuan City. The use frequency of radiation diagnosis and treatment has reached the level of Class II medical and health care regions, and there remains considerable room for growth and improvement. At present, the distribution of radiation diagnosis and treatment resources and services is unbalanced among different districts and counties as well as among institutions of different levels, mainly concentrated in urban districts and tertiary hospitals. The health administrative department needs to make overall plans and allocate resources scientifically.

Polycystic ovary syndrome （PCOS） is a common endocrine disorder among women of childbearing age. Persistent chronic inflammation can promote the progression of PCOS， thereby causing serious impacts on women’s endocrine metabolism， reproductive function， and psychological status. Nuclear factors- κB （NF- κB） signaling pathway is one of the most classic inflammatory response transduction pathways and is closely related to the pathological process of PCOS. This article summarizes the mechanism of traditional Chinese medicine intervention in PCOS based on the NF-κB signaling pathway， and finds that various monomers of traditional Chinese medicine [flavonoids （naringenin， soy isoflavone， rhamnocitrin， etc.）， alkaloids （berberine， ligustrazine） and terpenoids （artesunate， cryptotanshinone）， glycosides （salidroside， glycyrrhizic acid）] and traditional Chinese medicine compounds [formula for tonifying kidney （Bushen huayu formula， Bushen huatan formula， etc.）， formula for eliminating damp and dissolving phlegm （Cangfu daotan decoction， Xiehe yin， Erchen decoction）， formula for regulating blood circulation and removing stasis （Gexia zhuyu decoction， Huatan tongmai yin）] can alleviate inflammatory response， improve abnormal glucose and lipid metabolism， and enhance ovarian function by inhibiting NF-κB signaling pathway， thus improving PCOS.

Nasal drug delivery efficiency is highly dependent on the position in which the drug is deposited in the nasal cavity. However, no reliable method is currently available to assess its impact on delivery performance. In this study, a biomimetic nasal model based on three-dimensional (3D) reconstruction and three-dimensional printing (3DP) technology was developed for visualizing the deposition of drug powders in the nasal cavity. The results showed significant differences in cavity area and volume and powder distribution in the anterior part of the biomimetic nasal model of Chinese males and females. The nasal cavity model was modified with dimethicone and validated to be suitable for the deposition test. The experimental device produced the most satisfactory results with five spray times. Furthermore, particle sizes and spray angles were found to significantly affect the experimental device's performance and alter drug distribution, respectively. Additionally, mometasone furoate (MF) nasal spray (NS) distribution patterns were investigated in a goat nasal cavity model and three male goat noses, confirming the in vitro and in vivo correlation. In conclusion, the developed human nasal structure biomimetic device has the potential to be a valuable tool for assessing nasal drug delivery system deposition and distribution.

Objective: To investigate the second-hand smoke behavior at home among smokers, so as to provide the reference for developing home tobacco control strategies. Methods: Permanent residents who were smokers and at the ages of 15 years and above were sampled from 10 streets (townships) in Xuhui District, Shanghai Municipality using the multi-stage random sampling and population-size proportional sampling methods in 2022. Demographic information, smoking status, awareness of second-hand smoke hazards and second-hand smoke behavior at home were collected by questionnaire surveys. Factors affecting second-hand smoke behavior at home were identified using a multivariable logistic regression model. Results: A total of 1 024 smokers were surveyed, including 769 males (75.10%) and 255 females (24.90%). The awareness of hazards of second-hand smoke was 33.59%; the awareness rate of second-hand smoke causing lung cancer in adults was the highest at 76.76%, while the awareness rate of second-hand smoke leading to premature birth and low birth weight in newborns was the lowest at 39.45%. There were 459 smokers with second-hand smoke behavior at home, accounting for 44.82%. Multivariable logistic regression analysis showed that occupation (the retired, OR=2.320, 95%CI: 1.276-4.218), frequency of smoking (often, OR=5.722, 95%CI: 3.977-8.231), smoking duration (a year and above, OR=10.089, 95%CI: 5.508-18.480), electronic cigarette use (occasionally, OR=2.994, 95%CI: 1.283-6.986), living with pregnant women or infants (no, OR=2.171, 95%CI: 1.367-3.448), family indoor smoking restrictions (no restriction, OR=13.926, 95%CI: 7.538-25.727) and awareness of second-hand smoke hazards (unknown, OR=1.562, 95%CI: 1.067-2.287) were the influencing factors for second-hand smoke behavior at home. Conclusion There were 44.82% smokers in Xuhui District with second-hand smoke behavior at home, which was influenced by occupation, living situation, smoking status, family indoor smoking restriction and awareness of second-hand smoke hazards.

Objective To design a mobile personnel radiation protection equipment for operation in environments with high radiation such as spent fuel reprocessing plants, to achieve simultaneous protection against γ radiation, neutron radiation, and radioactive aerosol, to reduce the internal and external exposure dose of radioactive workers, and to meet the requirement of operation for two hours. Methods The core parts of the mobile personnel radiation protection equipment included a shielding chamber and a respiratory maintenance system. An automated chassis was used for the movement and lifting of the shielding chamber. MCNP software was used to simulate and calculate the protective effects of shielding chamber made of different materials and material thicknesses. Experimental verification of the shielding chamber design was conducted. Mathematical models were established to describe the variations in the content of various gases in the chamber with personnel operation time. A respiratory maintenance system, a harmful gas absorption device, and an automated mobile chassis were designed. Results The shielding chamber made of polyethylene with a thickness of 80 mm achieved an 80% neutron shielding rate. The respiratory maintenance system could support workers for 2 hours of operation inside the equipment. The mobile chassis allowed operation of the equipment with one person. Conclusion This mobile personnel radiation protection equipment can solve the problem in simultaneous protection against γ radiation, neutron radiation, and radioactive aerosol. The equipment can provide radiation protection for radioactive workers, reduce exposure dose, and reduce personnel burden. This system provides technical means for the operation and maintenance of equipment in high-radiation sites such as spent fuel reprocessing plants.

Objective:To discuss the effect of human umbilical cord mesenchymal stem cells culture supernatant(hUCMSCs-Sup)on the proliferation,apoptosis,and endometrium receptivity of the human endometrial stromal cells(hEndoSCs)treated with mifepristone(Ms),and to clarify the possible mechanism.Methods:The hEndoSCs were cultured in vitro and divided into control group and 40,60,80,and 100 μmol·L-1 Ms groups.The survival rates of the cells in various groups were detected by MTT assay.The hEndoSCs were divided into control group,40 μmol·L-1 Ms group,and 60 μmol·L-1 Ms group.The apoptotic rates of the cells in various groups were detected by flow cytometry;the expression levels of apoptosis-related protein B-cell lymphoma-2(Bcl-2)and Bcl-2-associated X protein(Bax)proteins in the cells in various groups were detected by Western blotting method,and the ratio of Bcl-2/Bax was calculated.After treated with hUCMSCs-Sup,the hEndoSCs were divided into control group,Ms group,Ms+hUCMSCs-Sup group,and Ms+hUCMSCs-Sup+3-methyladenine(3-MA)group.The survival rates of the cells in various groups were detected by MTT assay;the apoptotic rates of the cells in various groups were detected by flow cytometry;the expression levels of microtubule-associated protein 1 light chain 3B-Ⅱ(LC3B-Ⅱ)and microtubule-associated protein 1 light chain 3B-I(LC3B-Ⅰ)proteins in the cells in various groups were detected by Western blotting method,and the ratio of LC3B-Ⅱ/LC3B-Ⅰwas calculated;the expression levels of endometrium receptivity marker molecules mRNA in the cells in various groups were detected by real-time fluorescence quantitative PCR(RT-qPCR)method.Results:Compared with control group,the survival rates of the cells in 40,60,80,and 100 μmol·L-1 Ms groups were significantly decreased(P<0.05)in a time-dependent and dose-dependent manner.Compared with control group,the apoptotic rates of the cells in 40 and 60 μmol·L-1 Ms groups were significantly increased(P<0.05),and the ratios of Bcl-2/Bax were significantly decreased(P<0.05).After treated with hUCMSCs-Sup,compared with control group,the survival rate of the cells and ratio of LC3B-Ⅱ/LC3B-Ⅰ in the cells in Ms group were significantly decreased(P<0.05),the apoptotic rate was significantly increased(P<0.05),and the expression levels of homeobox A10(HOXA10),leukemia inhibitory factor(LIF),and integrin subunit beta 3(ITGB3)mRNA in the cells were significantly decreased(P<0.05);compared with Ms group,the survival rate of the cells and ratio of LC3B-Ⅱ/LC3B-Ⅰin the cells in Ms+hUCMSCs-Sup group were significantly increased(P<0.05),the apoptotic rate was significantly decreased(P<0.05),and the expression levels of HOXA10,LIF,and ITGB3 mRNA in the cells were significantly increased(P<0.05);compared with Ms+hUCMSCs-Sup group,the survival rate of the cells and ratio of LC3B-Ⅱ/LC3B-Ⅰ in the cells in Ms+hUCMSCs-Sup+3-MA group were significantly decreased(P<0.05).Conclusion:hUCMSCs-Sup can increase the survival rate and decrease the apoptotic rate of the hEndoSCs after treated with Ms,and increase the endometrium receptivity,and its mechanism may be associated with the activation of autophagy of the hEndoSCs by hUCMSCs-Sup.

OBJECTIVE To investigate the diagnostic efficacy of serum calcitonin(Ctn)in medullary thyroid cancer(MTC),the correlation between preoperative serum Ctn and clinicopathological features,and the risk factors affecting the progression of MTC disease during follow-up.METHODS The clinical data of 50 patients admitted to the Hospital of Integrated Traditional Chinese and Western Medicine of Nanjing University of Chinese Medicine from 2011 to 2022 were systematically reviewed,the ROC curve calculated the diagnostic efficacy of Ctn and CEA levels on MTC,and the risk factors for lymph node metastasis in the central region of MTC were analyzed in univariate and multivariate,and the survival curve without disease progression was drawn to predict risk factors.RESULTS The ROC curve yields the preoperative cut-off value of Ctn was 23.81 pg/ml and the cut-off value of CEA was 3.035 ng/ml for the diagnosis of MTC.The age of disease,tumor diameter,and preoperative serum Ctn and CEA levels in MTC patients were higher than those in non-MTC patients.Ctn≥289.62 pg/ml was an independent risk factor for central lymph node metastasis in MTC.The survival curve showed that invasion of the capsule,central region metastasis,and TNM stage above T2 were risk factors for predicting disease progression(P<0.05).Patients with MTC who have disease progression have higher preoperative Ctn.CONCLUSION Serum Ctn has important clinical value in the differential diagnosis,preoperative evaluation and postoperative follow-up of MTC.