OBJECTIVE To observe the effect of electroacupuncture on insomnia symptoms and blood pressure levels in patients with hypertension and insomnia.METHODS A randomized controlled clinical trial was conducted.A total of 60 patients with hyper-tension and insomnia were enrolled in Jiangsu Province Hospital of Chinese Medicine from December 2021 to December 2022 and ran-domly divided into a treatment group and a control group at a ratio of 1:1,with 30 cases in each group.During the treatment period,2 cases dropped out of the control group and 1 case dropped out of the treatment group.Both groups of patients received sleep and hy-pertension health education and conventional hypertension drug treatment.The treatment group was given electroacupuncture interven-tion,and the control group was given sham electroacupuncture intervention.The treatment course of both groups was 4 weeks.Before and after treatment,the Pittsburgh Sleep Quality Index(PSQI),Insomnia Severity Index(ISI)scale and portable polysomnography(PPSG)were used to evaluate the changes in sleep quality of the two groups of patients;home blood pressure measurement(HBPM)was adopted to evaluate the changes in blood pressure levels of the two groups of patients.Spearman correlation analysis and linear re-gression analysis were used to study the relationship between blood pressure levels and PPSG parameters.RESULTS After treatment,only the sleep onset latency(SOL)and sleep efficiency(SE)of the control group were significantly improved(P<0.05);the PSQI,ISI scores,morning and night systolic blood pressure(SBP),and diastolic blood pressure(DBP)of the treatment group were signifi-cantly reduced(P<0.01),which was better than that of the control group(P<0.05,P<0.01);the sleep parameters of PPSG were significantly improved(P<0.01),which was better than that of the control group(P<0.05,P<0.01).The results of Spearman corre-lation analysis showed that the morning SBP level of patients before treatment was related to the wake time after sleep onset(WASO)and the number of micro-arousals(MAS).After treatment,the decrease in the morning SBP of patients was related to the reduction of MAS and the shortening of SOL.CONCLUSION Electroacupuncture can effectively improve the insomnia symptoms and blood pres-sure levels of patients with hypertension.Its therapeutic mechanism may be related to reducing the number of MAS and improving the degree of sleep fragmentation.

Objective:To evaluate the predictive performance of machine learning methods for predicting the risk of death in traumatic hemorrhage, and address the low prediction accuracy of traditional trauma scores, provide a reference for developing a more robust prediction method for severe trauma patients.Methods:Clinical data of severe trauma patients from the National Trauma Medical Center between April 1, 2023, and March 31, 2024 were collected. ElasticNet, Recursive Feature Elimination, and Mutual Information-based feature selection methods were used to screen variables and compared with traditional hypothesis testing methods. Built the prediction models for mortality risk in traumatic hemorrhage using Logistic Regression, ElasticNet, and Support Vector Machine (SVM) and compared the predictive performance.Results:The study included 5,601 trauma patients, the results of the variable screening and importance ranking were consistent with three feature selection methods. The classification accuracy and AUC values for the three models were as follows: Overall accuracy was 83.2%, survival accuracy was 84.0%, death accuracy was 76.3%, and an AUC was 0.86 in logistic regression; Overall accuracy was 78.9%, survival accuracy was 78.5%, death accuracy was 81.7%, and an AUC was 0.88 in ElasticNet; Overall accuracy was 84.7%, survival accuracy was 86.1%, death accuracy was 72.4%, and an AUC was 0.86 in SVM. The prediction performance of three models is quite little.Conclusion:Machine learning methods can effectively improve the prediction of death risk for traumatic hemorrhage,and has wide applications.

OBJECTIVE To observe the effect of electroacupuncture on insomnia symptoms and blood pressure levels in patients with hypertension and insomnia.METHODS A randomized controlled clinical trial was conducted.A total of 60 patients with hyper-tension and insomnia were enrolled in Jiangsu Province Hospital of Chinese Medicine from December 2021 to December 2022 and ran-domly divided into a treatment group and a control group at a ratio of 1:1,with 30 cases in each group.During the treatment period,2 cases dropped out of the control group and 1 case dropped out of the treatment group.Both groups of patients received sleep and hy-pertension health education and conventional hypertension drug treatment.The treatment group was given electroacupuncture interven-tion,and the control group was given sham electroacupuncture intervention.The treatment course of both groups was 4 weeks.Before and after treatment,the Pittsburgh Sleep Quality Index(PSQI),Insomnia Severity Index(ISI)scale and portable polysomnography(PPSG)were used to evaluate the changes in sleep quality of the two groups of patients;home blood pressure measurement(HBPM)was adopted to evaluate the changes in blood pressure levels of the two groups of patients.Spearman correlation analysis and linear re-gression analysis were used to study the relationship between blood pressure levels and PPSG parameters.RESULTS After treatment,only the sleep onset latency(SOL)and sleep efficiency(SE)of the control group were significantly improved(P<0.05);the PSQI,ISI scores,morning and night systolic blood pressure(SBP),and diastolic blood pressure(DBP)of the treatment group were signifi-cantly reduced(P<0.01),which was better than that of the control group(P<0.05,P<0.01);the sleep parameters of PPSG were significantly improved(P<0.01),which was better than that of the control group(P<0.05,P<0.01).The results of Spearman corre-lation analysis showed that the morning SBP level of patients before treatment was related to the wake time after sleep onset(WASO)and the number of micro-arousals(MAS).After treatment,the decrease in the morning SBP of patients was related to the reduction of MAS and the shortening of SOL.CONCLUSION Electroacupuncture can effectively improve the insomnia symptoms and blood pres-sure levels of patients with hypertension.Its therapeutic mechanism may be related to reducing the number of MAS and improving the degree of sleep fragmentation.

Objective To study microbial characteristics of pulmonary in children with community-acquired pneumonia(CAP)of different severity,in order to provide a basis for accurate diagnosis and antibiotic treatment of pneumonia children,and provide new strategies and perspectives for the diagnosis and treatment of pulmonary microbiota in pneumonia children.Methods Bronchoalveolar lavage fluid(BALF)from 64 children with CAP of different severity hospitalized in Department of Pediatrics,Jingmen People's Hospital were collected from January to December 2023,the children were divided into severe pneumonia group(n=34)and common pneumonia group(n=30).Microbiome information of the lungs of children with CAP of different severity were obtained through metagenomic sequencing of BALF,microbial structure diversity analysis,species classification analysis,and differential analysis on the microbial bioinformatics data of two groups of samples obtained were performed.Results Alpha diversity analysis showed that there were statistically significant differences(P<0.05)in the Chao1 index,ACE index,Shannon index,and Simpson index between two groups.The principal coordinate analysis(PCoA)of Beta diversity showed a statistically significant difference in the composition of microbial communities between two groups(F=4.221,P=0.005).Through species classification analysis,it was found that at the genus level,mycoplasma was the main genus in the BALF samples of severe pneumonia group,followed by Streptococcus and Haemophilus,Streptococcus was the main genus in the BALF samples of common pneumonia group,followed by Mycoplasma and Haemophilus.Children of two groups showed statistically significant differences in microbial abundance among the top 20 species at the genus level(P<0.05),including Mycoplasma,Streptococcus,Rhodococcus,Neisseria,Prevotella,Corynebacterium,and Pseudomonas.Species diversity analysis showed that at the genus level,there were 47 species with differences(P<0.05).Conclusion There are differences in the abundance,diversity,structure,and composition of pulmonary microbiota in children with CAP of different severity.The dominant microbiota varies among children with CAP of different severity.This study enriches the pulmonary microbiome data of children with CAP.

Objective To study microbial characteristics of pulmonary in children with community-acquired pneumonia(CAP)of different severity,in order to provide a basis for accurate diagnosis and antibiotic treatment of pneumonia children,and provide new strategies and perspectives for the diagnosis and treatment of pulmonary microbiota in pneumonia children.Methods Bronchoalveolar lavage fluid(BALF)from 64 children with CAP of different severity hospitalized in Department of Pediatrics,Jingmen People's Hospital were collected from January to December 2023,the children were divided into severe pneumonia group(n=34)and common pneumonia group(n=30).Microbiome information of the lungs of children with CAP of different severity were obtained through metagenomic sequencing of BALF,microbial structure diversity analysis,species classification analysis,and differential analysis on the microbial bioinformatics data of two groups of samples obtained were performed.Results Alpha diversity analysis showed that there were statistically significant differences(P<0.05)in the Chao1 index,ACE index,Shannon index,and Simpson index between two groups.The principal coordinate analysis(PCoA)of Beta diversity showed a statistically significant difference in the composition of microbial communities between two groups(F=4.221,P=0.005).Through species classification analysis,it was found that at the genus level,mycoplasma was the main genus in the BALF samples of severe pneumonia group,followed by Streptococcus and Haemophilus,Streptococcus was the main genus in the BALF samples of common pneumonia group,followed by Mycoplasma and Haemophilus.Children of two groups showed statistically significant differences in microbial abundance among the top 20 species at the genus level(P<0.05),including Mycoplasma,Streptococcus,Rhodococcus,Neisseria,Prevotella,Corynebacterium,and Pseudomonas.Species diversity analysis showed that at the genus level,there were 47 species with differences(P<0.05).Conclusion There are differences in the abundance,diversity,structure,and composition of pulmonary microbiota in children with CAP of different severity.The dominant microbiota varies among children with CAP of different severity.This study enriches the pulmonary microbiome data of children with CAP.

Objective:To explore the toxic effect of carbon black nanoparticles on human bronchial epithelial cells, and identify the differentially expressed circular RNA based on the full transcriptome high-throughput sequencing, so as to provide evidence for the development of biomarkers exposed to carbon black nanoparticles and their application on epigenetic toxicology.Methods:In June 2020, 16 HBE cells were treated with carbon black nanoparticles at concentrations of 20, 40 and 80 μg/ml, and 16 HBE cells without any intervention were used as the control group. The cytotoxicity of carbon black nanoparticles was detected by CCK8 and LDH experiments. Real-time quantitative fluorescent PCR (qRT-PCR) and ELISA were used to detect the changes of interleukin-6 (IL-6) and interleukin-8 (IL-6, IL-8) mRNA and protein levels of carbon black nanoparticles with concentration gradient after 72 h exposure. Western blot analysis was conducted to detect the expression levels of toll-like receptor 4 (TLR4), phosphorylated nuclear factor-κB (P-NF-κB), apoptosis-related speckled protein (ASC) and Caspase-1 associated with nuclear factor-κB. According to high-throughput sequencing results, differentially expressed Circrnas were screened and identified by qRT-PCR, and those with stable differentially expressed circrnas and the strongest association with the NF-κB pathway were selected for ring performance identification.Results:After being exposed to carbon black nanoparticles for 72 h, the activity of 16HBE cells decreased significantly ( P<0.05), and the release of lactate dehydrogenase increased significantly ( P<0.05). Compared with control group, mRNA expression levels of IL-6 and IL-8, protein levels of IL-6 and IL-8 were increased, and protein levels of TLR4, p-NF-κB, ASC and Caspase-1 were significantly up-regulated in 16 HBE cells of different concentrations, with statistical significance ( P<0.05). Compared with the control group, a total of 492 differentially expressed circular Rnas (|log2 FC|>1) were detected. Among the 5 differentially expressed ( P<0.05) circular Rnas, circ_002642 was selected as the object of subsequent research on circular Rnas, affter 72 hours of exposure to 80 μg/ml CBNPs, 16HBE cells showed signlficantly higher expression of circ_002642 ( P<0.05) . Conclusion:Carbon black nanoparticles can induce differentially expressed circular RNAs associated with inflammatory response in human bronchial epithelial cells.

Objective:To explore the toxic effect of carbon black nanoparticles on human bronchial epithelial cells, and identify the differentially expressed circular RNA based on the full transcriptome high-throughput sequencing, so as to provide evidence for the development of biomarkers exposed to carbon black nanoparticles and their application on epigenetic toxicology.Methods:In June 2020, 16 HBE cells were treated with carbon black nanoparticles at concentrations of 20, 40 and 80 μg/ml, and 16 HBE cells without any intervention were used as the control group. The cytotoxicity of carbon black nanoparticles was detected by CCK8 and LDH experiments. Real-time quantitative fluorescent PCR (qRT-PCR) and ELISA were used to detect the changes of interleukin-6 (IL-6) and interleukin-8 (IL-6, IL-8) mRNA and protein levels of carbon black nanoparticles with concentration gradient after 72 h exposure. Western blot analysis was conducted to detect the expression levels of toll-like receptor 4 (TLR4), phosphorylated nuclear factor-κB (P-NF-κB), apoptosis-related speckled protein (ASC) and Caspase-1 associated with nuclear factor-κB. According to high-throughput sequencing results, differentially expressed Circrnas were screened and identified by qRT-PCR, and those with stable differentially expressed circrnas and the strongest association with the NF-κB pathway were selected for ring performance identification.Results:After being exposed to carbon black nanoparticles for 72 h, the activity of 16HBE cells decreased significantly ( P<0.05), and the release of lactate dehydrogenase increased significantly ( P<0.05). Compared with control group, mRNA expression levels of IL-6 and IL-8, protein levels of IL-6 and IL-8 were increased, and protein levels of TLR4, p-NF-κB, ASC and Caspase-1 were significantly up-regulated in 16 HBE cells of different concentrations, with statistical significance ( P<0.05). Compared with the control group, a total of 492 differentially expressed circular Rnas (|log2 FC|>1) were detected. Among the 5 differentially expressed ( P<0.05) circular Rnas, circ_002642 was selected as the object of subsequent research on circular Rnas, affter 72 hours of exposure to 80 μg/ml CBNPs, 16HBE cells showed signlficantly higher expression of circ_002642 ( P<0.05) . Conclusion:Carbon black nanoparticles can induce differentially expressed circular RNAs associated with inflammatory response in human bronchial epithelial cells.

Objective:To explore the early prognosis on patient of idiopathic pulmonary fibrosis (IPF) combined with different degrees of pulmonary arterial hypertension (PAH) undertake lung transplantation (LTx).Methods:From January 2017 to December 2020, the clinical data of 134 patients with IPF who underwent LTx in Wuxi People's Hospital were analyzed retrospectively. According to the average pulmonary artery pressure detected by right cardiac catheter before operation, the patients were divided into mild PAH group (63 cases), moderate PAH group (47 cases) and severe PAH group (24 cases). The donor data and the recipient's preoperative, intraoperative and postoperative data were collected; the postoperative survival curve to analyze early survival among the three patient groups.Results:With the increase of pulmonary artery pressure, the rate of abnormal right ventricular function increased, the end diastolic diameter of left ventricle decreased before operation, and the rate of using veno-arterial extracorporeal membrane oxygenation (V-A ECMO) increased during the surgery ( P<0.05). Multivariate analysis found that combined severe PAH had significant effects on primary graft dysfunction (Primary graft dysfunction, PGD), retracheal intubation or tracheotomy, hypovolemic shock within 72 h, and 6-month survival after LTx. The survival surve showed that 30-day survival rates of patients with IPF complicated with mild, moderate and severe PAH were 85.7%, 80.8% and 66.7% respectively, and the 6-month survival rates were 80.9%, 74.0% and 62.2%, respectively. Conclusion:Patient of IPF combined with different degrees of PAH had a significant impact on cardiac function and intraoperative ECMO selection of LTx, and severe PAH could significantly reduce the early survival rate after LTx.

Non-image forming functions of eyes include the regulation of biological circadian rhythm and biological magnetoreception.Biological magnetoreception means that various organisms including human obtain the direction and position information through the geomagnetic field.Creatures with retina realize magnetoreception regarding retinal cryptochrome as magnetoreceptor.Hypotheses of magnetoreception contain the radical-pair theory and the biological compass theory.The two theories both reckon retinal elements as possible receptor protein of magnetoreception, and eyes as receptor organ.The radical-pair theory suggests that change of radical spin influences the structure of retinal cryptochrome, leading to different downstream chemical reaction products, which makes the variable magnetic field information perceivable.And the biological compass theory proposes a rod-like complex composed of polymerized cryptochromes and magnetoreceptor proteins, which can point to different directions due to light and magnetic signals.These changes in retina transmit geomagnetic field signal to the brain, and then sense of direction is formed.Researching biological magnetoreception promotes a novel perspective in the diagnosis and treatment of eye and brain diseases, and brings innovation in magnetic material field.In this article, non-image forming functions of eyes, hypotheses of magnetoreception and possible mechanism of non-image forming functions of eyes in magnetoreception were reviewed.

Objective: To explore the risk factors of predicting white matter hyperintensities progression based on radiomics of MRI of whole-brain white matter. Methods: The imaging and clinical data of 152 patients with white matter hyperintensities admitted to Zhejiang People′s Hospital from March 2014 to October 2018 were retrospectively analyzed. The whole brain white matter on baseline T₁WI images of each patient were segmented by SPM12 software package, and images of white matter were imported into AK software for texture feature extraction and dimensionality reduction. At last, least absolute shrinkage and selection operator(LASSO) was used to calculate the score of radiomics signature of each patient. According to the improved Fazekas scale, patients with WMH progression were divided into three groups: any white matter hyperintensities (AWMH), periventricular white matter hyperintensities (PWMH) and deep white matter hyperintensities (DWMH). Statistical differences of clinical factors and radiomics signature between WMH progression subgroups and non-progression subgroups were compared with independent sample t test or Mann-Whitney U test, and Univariate logistic regression was used to select independent clinical risk factors and multivariate logistic regression along with imaging omics tags were used to construct predictive models, which was evaluated by ROC curve. And the correlation between the clinical indicators of independent risk factors and the texture feature of radiomics signature was analyzed. Results: The efficacy of the model for the detection for AWMH progression, PWMH progression and DWMH progression was 0.818,0.778 and 0.824, respectively. Age is an independent risk factor for AWMH progression and DWMH progression[OR(95%CI), 4.776(2.152-10.601) vs. 3.851(1.101-8.245); P<0.05]. BMI is an independent risk factor for DWMH[OR(95%CI), 3.004(1.204-7.370); P<0.05], and hyperlipidemia is an independent risk factor for AWMH and PWMH[OR(95%CI), 4.062(1.834-8.998) vs. 3.549(1.666-7.563); P<0.05]. In AWMH subgroup, Surface Area was negatively correlated with age and low density lipoprotein(LDL) (r=-0.401, -0.312), and Inverse Difference Moment_ALLDirection_offset 1_SD was negatively correlated with age(r=-0.412). In PWMH subgroup, Compactness 1 was negatively correlated with LDL(r=-0.198), and Inverse Difference Moment_angle 0_offset 7 was positively correlated with LDL(r=0.252). In DWMH subgroup, LongRunEmphasis_ALLDirection_offset 7 was negatively correlated with age(r=-0.322), and GLCMEntropy_angle0_offset 4 was negatively correlated with age(r=-0.278). GLCMEntropy_AllDirection_offset4 was negatively correlated with body mass index(r=-0.514). Conclusion Radiomics based on whole-brain white matter MR imaging can predict WMH progression and identify the risk factors in high-risk populations, thus providing early additional information to conventional magnetic resonance imaging to predict WMH progression.