Objective To investigate the effect and mechanism of miglitol on regulating the energy metabolism of brown adipocytes by activating UCP1 and preventing cold injury in mice after cold exposure. Methods Primary brown adipocytes were induced into mature adipocytes, the effect of miglitol on the viability of brown adipocytes was investigated by MTT method, the lipid droplet consumption level of cells after drug administration was investigated by Oil Red O staining technology, and the level of UCP1, a key protein of thermogenesis in brown adipocytes, was detected by Western blotting. The activity of anti-frostbite was investigated in cold exposure at 4 ℃ and −20 ℃. KM mice, which were randomly divided into control group, cold exposure group, miglitol group and all-trans retinoic acid group, and after 7 days of repeated administration, the body surface temperature of mice was detected by infrared thermal imaging system, the anal temperature change was detected by anal thermometer, and the expression levels of UCP1 and PGC1-α in adipose tissue were detected by immunoblotting. Results Compared with the control group, the lipid droplet consumption and UCP1 expression levels in brown adipocytes in the miglitol group were significantly increased. The levels of body surface temperature and rectal temperature increased significantly after cold exposure, and the levels of UCP1 and PGC1α in the brown adipose tissue of mice increased significantly, which indicated that the miglitol could activate the critical proteins UCP1 and PGC1α of the thermogenesis pathway, increase the thermogenesis of mice after cold exposure, and thus improve the effect of cold injury for toe swelling. Conclusion Miglitol could play a role in improving cold injury and body temperature in mice by increasing the level of UCP1 and PGC1α, which are key targets of the thermogenesis pathway to promote the thermogenesis of brown fat.

OBJECTIVE To analyze the influential factors for rivaroxaban-induced bleeding events in patients with non- valvular atrial fibrillation （NVAF） and coronary heart disease. METHODS A total of 64 hospitalized patients with NVAF complicated with coronary heart disease who were treated with rivaroxaban and admitted to the Fuzhou University Affiliated Provincial Hospital from November 2021 to May 2023 were included in this retrospective study. The demographic data， laboratory test indexes and other general clinical data， and steady-state trough concentration of rivaroxaban were collected， and the dose- adjusted trough concentration was calculated. The occurrence of bleeding events within 6 months after discharge was recorded. The univariate analysis and binary Logistic regression analysis were adopted to determine the independent risk factors of rivaroxaban- related bleeding events. The binary Logistic regression equation was constructed to predict the probability of bleeding events. The area under the receiver operator characteristic （ROC） curve （AUC） was used to analyze the predictive value of the regression equation. RESULTS Among 64 patients， 19 patients had 24 case-times bleeding events， most of which were mild bleeding （19 case-times， 79.2%）， and mainly gastrointestinal bleeding （17 case-times， 70.8%）. After symptomatic treatment and adjustment of the anticoagulant regimen， most of them were improved or cured. In the univariate analysis， the proportion of patients with a history of anemia， platelet count， urea nitrogen content， steady-state trough concentration of rivaroxaban， dose-adjusted trough concentration and coagulation indexes [international normalized ratio， prothrombin time （PT）， activated partial thromboplastin time] in bleeding group were significantly more or higher than those in non-bleeding group， while the albumin level was significantly lower than that in non-bleeding group （P＜0.05）. In binary Logistics regression analysis， high PT level （odds ratio＝1.473， 95% confidence interval＝1.103-1.967， P＝ 0.009） and high rivaroxaban dose-adjusted trough concentration （odds ratio＝1.174， 95% confidence interval＝1.018-1.355， P＝ 0.027） were independent risk factors for rivaroxaban-related bleeding events. The binary Logistic regression equation of bleeding event prediction probability （P） was LogitP＝－6.975+0.387×PT level+0.161×dose-adjusted trough concentration， and the AUC of the ROC curve was 0.825 （95% confidence interval was 0.708-0.909， P＜0.001）. CONCLUSIONS The risk factors of rivaroxaban-related bleeding events in patients with NVAF and coronary heart disease include previous anemia history， high platelet count， high urea nitrogen content， high rivaroxaban steady-state trough concentration， high dose-adjusted trough concentration， high coagulation indexes and low albumin level. High PT level and high dose-adjusted trough concentration are independent risk factors that can be used to predict the risk of rivaroxaban-induced bleeding events. The regression equation has good predictive value.

Glutamate is a major excitatory neurotransmitter in the central nervous system and a potential neurotoxin.During the development of depression,the glutamate concentration increases in the hippocampus.When glutamate accumulates,it causes serious damage to neurons and brain tissue,aggravating the depressive state.Therefore,glutamate accumulation may be a major mechanism of depression development.Astrocytes,glutamate transporters,and glutamate receptors play important regulatory roles in the glutamate concentration.This article reviews the mechanism-of-action of traditional Chinese medicine on depression by regulating astrocytes,glutamate transporters,and glutamate receptors,and provides new ideas to explore treatment of depression by traditional Chinese medicine.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Objective:To explore the relationship among ruminating,affiliate stigma and post-traumatic growth in parents of autistic children.Methods:Totally 339 parents of autistic children were selected.The Affiliate Stigma Scale(ASS),Post-traumatic Growth Inventory(PTGI),ERRI Intrusive Subscale(ERRI-I)and ERRI De-liberate Subscale(ERRI-D)of Event Related Rumination Inventory(ERRI)were used to measure affiliate stigma,post-traumatic growth,intrusive ruminating and deliberate ruminating.SPSS macro program PROCESS was used to test the mediating role.Results:There were positive correlations among the scores of ASS,ERRI-I and ERRI-D(r=0.39-0.72,Ps＜0.01).The PTGl scores were negatively correlated with ASS scores(r=0.26,Ps＜0.01)and positively correlated with ERRI-D scores(r=0.10,Ps＜0.05).The ERRI-D scores played a partial mediating role in the relationship between ASS and PTGl scores(95％CI:0.01-0.07).The ERRI-I scores and ERRI-D scores played a serial mediating role in the relationship between ASS and PTGI scores(95％CI:0.03-0.14).Both me-diation paths had suppression effect.Conclusion:In the negative correlation between affiliate stigma and post-trau-matic growth in parents of autistic children,the deliberate ruminating plays a partial mediating role,while intrusive ruminating and deliberate ruminating play a serial mediating role.

Objective:To investigate the value of 18F-FDG PET/CT imaging signs and metabolic parameters in predicting tumor spread through air spaces (STAS) of stage Ⅰ lung adenocarcinoma. Methods:From January 2019 to December 2021, clinical, imaging and metabolic parameters of 381 patients (126 males, 255 females, age (61.2±9.2) years) with stage Ⅰ lung adenocarcinoma were retrospectively analyzed in the Affiliated Hospital of Qingdao University. According to the postoperative pathological results, patients were divided into STAS positive group and STAS negative group. According to the operation time, patients were divided into training set ( n=254) and verification set ( n=127). χ2 test or Mann-Whitney U test was used to compare the differences of different parameters between patients with STAS positive and negative, and binary logistic regression analysis was used to select the predictors of STAS status. The prediction model was established, and ROC curve was used to evaluate the predictive efficacy. Results:There were 49(19.3%, 49/254) patients with STAS positive and 205(80.7%, 205/254) patients with STAS negative in the training set, while those were 35(27.6%, 35/127) and 92(72.4%, 92/127) in the verification set. In the training set, the differences of age ( z=-2.30, P=0.021), type of lesions ( χ2=6.81, P=0.009), spiculation ( χ2=12.64, P<0.001), bronchus truncation ( χ2=6.98, P=0.008), ground glass ribbon sign ( χ2=26.93, P<0.001) and SUV max ( z=-4.62, P<0.001) between the two groups were statistically significant. Multivariate logistic regression analysis showed that age (odds ratio ( OR)=1.048, 95% CI: 1.004-1.094, P=0.032), ground glass ribbon sign ( OR=3.857, 95% CI: 1.693-8.788, P=0.001) and SUV max ( OR=1.133, 95% CI: 1.001-1.282, P=0.049) were independent predictors of STAS status in stage Ⅰ lung adenocarcinoma patients. The logistic regression model was P=1/(1+ e - x), x=-5.292+ 0.480×age (year)+ 1.493×ground glass ribbon sign+ 0.170×SUV max. The AUCs of the model in the training set and verification set were 0.770 and 0.801, with the sensitivity of 81.6%(40/49) and 82.9%(29/35), and the specificity of 69.8%(143/205) and 65.2%(60/92), respectively. Conclusion:Age, ground glass ribbon sign and SUV max have good predictive effects on the occurrence of STAS in stage Ⅰ lung adenocarcinoma.