BACKGROUND: Lung cancer is one of the leading causes of cancer-related mortality worldwide, with above 80% of cases be non-small cell lung cancer (NSCLC), among which lung squamous cell carcinoma (LUSC) occupies a significant proportion. Although comprehensive cancer therapies have considerably improved the overall survival of patients, patients with advanced LUSC have a poorer prognosis. Therefore, there is a need for a biomarker to predict the progress of advanced LUSC in order to improve prognosis through early diagnosis. Previous studies have shown that miRNAs are differentially expressed in lung cancer tissues and play roles as potential oncogenes or tumor suppressors. The aim of this study is to identify differentially expressed miRNAs between early-stage and advanced-stage LUSC, and to establish a set of miRNAs that can predict the progress of advanced LUSC. METHODS: Clinical data and miRNA-related data of LUSC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Bioinformatic methods were applied to analyze the data. Receiver operating characteristic (ROC) curves were plotted, and various online tools were used to predict target genes, with subsequent analysis of the potential biological mechanisms of these genes. RESULTS: A total of 58 differentially expressed miRNAs were identified between the experiment group and the control group. Seven miRNAs were selected for potential construction of a miRNA biomarker through LASSO regression, and based on the area under the curve (AUC) values of each miRNA, four of these miRNAs (miR-377-3p, miR-4779, miR-6803-5p, miR-3960) were ultimately chosen as biomarkers for predicting advanced LUSC. The AUC under the ROC curve for the combined four miRNAs was 0.865. Enrichment analysis showed that these target genes were involved in several pathways, including cancer-related pathways, mitogen-activated protein kinase (MAPK) signaling pathway, serine/threonine kinase, and tyrosine kinase signaling pathways. CONCLUSIONS The combined use of miR-377-3p, miR-4779, miR-6803-5p and miR-3960 provides a good predictive ability for the progress of advanced LUSC patients, with an AUC of 0.865.
Humans ; MicroRNAs/metabolism* ; Lung Neoplasms/metabolism* ; Biomarkers, Tumor/metabolism* ; Carcinoma, Squamous Cell/pathology* ; Gene Expression Regulation, Neoplastic ; Male ; Female ; Prognosis ; ROC Curve ; Middle Aged

Objective To investigate immune characteristics of non-responsive macrolide-resistant Mycoplasma pneumoniae pneumonia(MPP)and macrolide-susceptible Mycoplasma pneumoniae pneumonia(MSMPP),and the clinical significance of serum Mycoplasma pneumonia DNA load and NK cell count in the course of disease were evaluated.Methods A total of 120 MPP patients hospitalized at Hangzhou Children's Hospital from August 2022 to August 2023 were selected as subjects,they were divided into MSMPP group(n=36)and macrolide-unresponsive MPP(MUMPP)group(n=84)based on whether they were effective within 72h of using macrolide antibiotics.Compare various indicators levels in the first 6 hours after admission between two groups.Multivariate analysis of variance was used for independent risk factors and receiver operating characteristic(ROC)curve analysis was used for diagnostic performance.Results CD4+T,NK,and lgMP-DNA were independent risk factors for predicting whether MPP patients were MUMPP.The area under ROC curve for CD4+T,NK,lgMP-DNA,NK+CD4+T,lgMP-DNA+CD4+T,and lgMP-DNA+NK were 0.684,0.753,0.728,0.803,0.779,and 0.813,respectively.Conclusion Decreased peripheral blood NK cells and high MP-DNA load are important clinical features of drug-resistant Mycoplasma pneumonia,and combined detection can provide important clinical value for subsequent diagnosis and treatment.

BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

Objective:To compare the differences in chemical compositions before and after processing by different processing methods; To optimize the processing method of Atractylodes lancea Rhizoma.Methods:Atractylodes lancea Rhizoma was processed by stir-frying with bran and treating with rice washing water. The volatile and non-volatile components of raw Atractylodes lancea Rhizoma, bran-fried Atractylodes lancea Rhizoma and rice washing water treated Atractylodes lancea Rhizome were qualitatively analyzed by headspace gas chromatography-mass spectrometry (HS-GC-MS) and ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry (UPLC-Q-Orbitrap HRMS), and the differences in chemical composition before and after processing were compared.Results:The volatile components of the three different products were determined to have 18 common components, such as agarospirol, β-eudesol, etc. In addition, 86 non-volatile components were determined. The peak area response value of atractylodin, the index component prescribed by pharmacopoeia, decreased after processing, but there was little difference in bran stir-frying and rice-washed water frying.Conclusions:Different processing methods have certain effects on the chemical composition of Atractylodes lancea Rhizoma. Among them, the bran-frying method is superior in improving the quality of preparations, reducing production costs and improving production efficiency. The bran-fried product can be used as raw material for preparation production.

BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

Objective To investigate immune characteristics of non-responsive macrolide-resistant Mycoplasma pneumoniae pneumonia(MPP)and macrolide-susceptible Mycoplasma pneumoniae pneumonia(MSMPP),and the clinical significance of serum Mycoplasma pneumonia DNA load and NK cell count in the course of disease were evaluated.Methods A total of 120 MPP patients hospitalized at Hangzhou Children's Hospital from August 2022 to August 2023 were selected as subjects,they were divided into MSMPP group(n=36)and macrolide-unresponsive MPP(MUMPP)group(n=84)based on whether they were effective within 72h of using macrolide antibiotics.Compare various indicators levels in the first 6 hours after admission between two groups.Multivariate analysis of variance was used for independent risk factors and receiver operating characteristic(ROC)curve analysis was used for diagnostic performance.Results CD4+T,NK,and lgMP-DNA were independent risk factors for predicting whether MPP patients were MUMPP.The area under ROC curve for CD4+T,NK,lgMP-DNA,NK+CD4+T,lgMP-DNA+CD4+T,and lgMP-DNA+NK were 0.684,0.753,0.728,0.803,0.779,and 0.813,respectively.Conclusion Decreased peripheral blood NK cells and high MP-DNA load are important clinical features of drug-resistant Mycoplasma pneumonia,and combined detection can provide important clinical value for subsequent diagnosis and treatment.

BACKGROUND: Lung cancer represents the main cause of cancer-related deaths worldwide, and non-small cell lung cancer (NSCLC) is the most main subtype. More than half of NSCLC patients have already developed distant metastasis (DM) at the time of diagnosis and have a poor prognosis. Therefore, it is necessary to find new biomarkers for predicting NSCLC DM in order to guide subsequent treatment and thus improve the prognosis of NSCLC patients. Numerous studies have shown that microRNAs (miRNAs) are abnormally expressed in lung cancer tissues and play an important role in tumorigenesis and progression. The aim of this study is to identify differentially expressed miRNAs in lung adenocarcinoma tissues with DM group compared to those with non-distant metastasis (NDM) group, and to construct a miRNA signature for predicting DM of lung adenocarcinoma. METHODS: We first obtained miRNA and clinical data for patients with lung adenocarcinoma from The Cancer Genome Atlas (TCGA) database. Subsequently, bioinformatics analysis, which included different R packages, Kaplan-Meier analysis, receiver operating characteristic (ROC) curve, and a range of online analysis tools, was performed to analyze the data. RESULTS A total of 12 differentially expressed miRNAs were identified between the DM and NDM groups, and 8 miRNAs (miR-377-5p, miR-381-5p, miR-490-5p, miR-519d-5p, miR-3136-5p, miR-320e, miR-2355-5p, miR-6784-5p) were screened for constructing a miRNA signature. The efficacy of this miRNA signature in predicting DM was good with an area under the curve (AUC) of 0.831. Logistic regression analysis showed that this miRNA signature was an independent risk factor for DM of lung adenocarcinoma. Next, target genes of the eight miRNAs were predicted, and enrichment analysis showed that these target genes were enriched in a variety of pathways, including pathways in cancer, herpes simplex virus I infection, PI3K-Akt pathway, MAPK pathway, Ras pathway, etc. CONCLUSIONS: This miRNA signature has good efficacy in predicting DM of lung adenocarcinoma and has the potential to be a predictor of DM of lung adenocarcinoma.
Humans ; MicroRNAs/metabolism* ; Lung Neoplasms/diagnosis* ; Male ; Neoplasm Metastasis ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; Prognosis ; Gene Expression Profiling ; Aged ; Biomarkers, Tumor/genetics*

Objective To explore the effect of motivational interview in the psychological counseling and management abilities of family caregivers of children with recurrent wheezing.Methods A total of 120 children with recurrent wheezing who were treated in Hangzhou Children's Hospital from May 2023 to May 2024 were selected.The family caregivers of children were randomly divided into control group and observation group,with 60 people in each group.The control group received conventional knowledge training and health education,while the observation group received motivational interviews based on control group.Compare the asthma control level,anxiety and depression levels of family caregivers of children,scores of various dimensions of the family caregivers of children management measurement scale,and satisfaction between two groups before and after intervention.Results After intervention,the frequency of recurrent wheezing in observation group was lower than that in control group,and the difference was statistically significant(P＜0.05).There was a statistically significant difference(P＜0.05)in family management measure scores between two groups before and after intervention.The satisfaction of family caregivers of children in observation group was significantly higher than that in control group,and the difference was statistically significant(P＜0.05).Conclusion Motivational interview intervention can effectively alleviate the wheezing frequency of children with recurrent wheezing,improve the response of family care,reduce anxiety and depression of family caregivers of children.

Heart failure is the leading cause of death worldwide. Compound Danshen Dripping Pill (CDDP) or CDDP combined with simvastatin has been widely used to treat patients with myocardial infarction and other cardiovascular diseases in China. However, the effect of CDDP on hypercholesterolemia/atherosclerosis-induced heart failure is unknown. We constructed a new model of heart failure induced by hypercholesterolemia/atherosclerosis in apolipoprotein E (ApoE) and LDL receptor (LDLR) dual deficient (ApoE^-/-LDLR^-/-) mice and investigated the effect of CDDP or CDDP plus a low dose of simvastatin on the heart failure. CDDP or CDDP plus a low dose of simvastatin inhibited heart injury by multiple actions including anti-myocardial dysfunction and anti-fibrosis. Mechanistically, both Wnt and lysine-specific demethylase 4A (KDM4A) pathways were significantly activated in mice with heart injury. Conversely, CDDP or CDDP plus a low dose of simvastatin inhibited Wnt pathway by markedly up-regulating expression of Wnt inhibitors. While the anti-inflammation and anti-oxidative stress by CDDP were achieved by inhibiting KDM4A expression and activity. In addition, CDDP attenuated simvastatin-induced myolysis in skeletal muscle. Taken together, our study suggests that CDDP or CDDP plus a low dose of simvastatin can be an effective therapy to reduce hypercholesterolemia/atherosclerosis-induced heart failure.

Objective To explore the factors affecting methylphenidate (MHP)efficacy in children with attention deficit hyperactivity disorder (ADHD). Methods One hunadard eleven DSM-Ⅳ defined ADHD patients were enrolled for 6 weeks systemic MHP titration treatmnet. ADHD Rating Scale-Ⅳ Home Version (ADHD-RS-Ⅳ) were applied as index of clinical efficacy, and Continuous Performance Task (CPT) as index of cognition efficacy. Determining potential influential factors was analyzed on MPH efficacy including demographic,baseline clinical symptoms and cognitive factors. Results Sixty-five (59.1%) were defined as responders and 45 (40.9%) as non-reponders to MHP, respectively. CPT which were conducted in 87 patient showed that 35 (40.2%) were defined as responders on commission errors, 31 (35.6%) on omission errors and 10 (11.5%) on reaction time. Logistic analysis revealed two potential influential factors that predicted better clinical efficacy (P<0.05): better parental relationship (OR=3.516, 95% CI: 1.087~11.375) and baseline ADHD-RS-Ⅳ score above 35 points (OR=3.075, 95%CI: 1.131~8.359). Higher IQ score was the potential influential factor that predicted better commission errors efficacy (OR=1.085, 95%CI: 1.013~1.162) and omission errors efficacy (OR=1.078, 95%CI: 1.008~1.153). Conclusion MHP efficacy may result in better outcomes in children with ADHD who have higher baseline ADHD-RS-Ⅳ score, poorer baseline CPT result, younger onset age, higher IQ and better parental relationship.