Infectious diseases occur and evolve through a dynamic contest between pathogenic qi and the body's healthy qi， with marked stage-dependent progression. This paper constructs a whole-course system of syndrome differentiation and treatment based on the theories of "struggle between pathogenic qi and healthy qi" and "relapse due to overexertion after recovery". The former reveals the intrinsic link between the waxing and waning of pathogenic and healthy qi and the evolution of syndromes， guiding stratified interventions during acute stage by discerning the location and nature of pathogenic factors and determining appropriate strategies for eliminating pathogens and supporting healthy qi according to the dynamics of deficiency and excess syndromes. The latter focuses on the recovery stage after infection and disease relapse， emphasizing harmonizing yin， yang， qi and blood to restore functions of zang-fu （脏腑） organs， and combining unblocking， tonifying， and turbidity-dispelling methods to eliminate both new and lingering pathogens. Throughout the whole-course treatment， attention should be paid to dynamic pathogenesis and stage-to-stage coherence， with emphasis on formula-syndrome correspondence， and integration of modern diagnostic and therapeutic measures， to construct individualized strategies bridging disease stages and integrating prevention with treatment， thereby systematically leveraging the integrative strengths of traditional Chinese medicine in the prevention and treatment of infectious diseases.

Infectious diseases occur and evolve through a dynamic contest between pathogenic qi and the body's healthy qi， with marked stage-dependent progression. This paper constructs a whole-course system of syndrome differentiation and treatment based on the theories of "struggle between pathogenic qi and healthy qi" and "relapse due to overexertion after recovery". The former reveals the intrinsic link between the waxing and waning of pathogenic and healthy qi and the evolution of syndromes， guiding stratified interventions during acute stage by discerning the location and nature of pathogenic factors and determining appropriate strategies for eliminating pathogens and supporting healthy qi according to the dynamics of deficiency and excess syndromes. The latter focuses on the recovery stage after infection and disease relapse， emphasizing harmonizing yin， yang， qi and blood to restore functions of zang-fu （脏腑） organs， and combining unblocking， tonifying， and turbidity-dispelling methods to eliminate both new and lingering pathogens. Throughout the whole-course treatment， attention should be paid to dynamic pathogenesis and stage-to-stage coherence， with emphasis on formula-syndrome correspondence， and integration of modern diagnostic and therapeutic measures， to construct individualized strategies bridging disease stages and integrating prevention with treatment， thereby systematically leveraging the integrative strengths of traditional Chinese medicine in the prevention and treatment of infectious diseases.

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 explore the active components, key targets, and mechanism of action of turnip in alleviating pulmonary fibrosis(PF) based on network pharmacology and animal experiments. Methods: The active components and targets of Brassica rapa L. were screened using the traditional Chinese medicine systems pharmacology database and analysis platform database, and PF-related targets were obtained from disease databases such as online mendelian inheritance of man(OMIM) and DrugBank. The intersection targets were used to construct a protein-protein interaction(PPI) network to identify core targets, followed by gene oncology(GO)/Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis. In the animal experiments, a bleomycin-induced PF mouse model was established. Pathological changes in lung tissue were evaluated using HE and Masson staining. qRT-PCR was used to detect the mRNA expression of tumor necrosis factor-α(TNF-α), phosphatidylinositol 3-kinase(PI3K), and akstrain transforming 1(AKT1), and immunofluorescence staining was used to measure the protein expression of TNF-α, PI3K, and AKT1. Results: The 68 active components identified in Brassica rapa L. may regulate PI3K-Akt signaling pathway by acting on 89 potential targets such as TNF-α and AKT1. The results of animal experiments showed that polysaccharide of Brassica rapa L.(BRPs) could significantly reduce the degree of bleomycin induced pulmonary fibrosis in mice; HE and Masson staining of lung tissue showed that compared with the model group, the damage of alveolar structure, the infiltration of inflammatory cells and the deposition of collagen fibers in the BRPs treatment group were significantly reduced. Further mechanism studies showed that BRPs could significantly down-regulate the mRNA and protein expression levels of TNF-α, PI3K and AKT1 in lung tissue of pulmonary fibrosis mice. Conclusion Brassica rapa L. can synergistically alleviate pulmonary fibrosis through “multi-component, multi-target and multi-channel” approach; BRPs is one of the main active components, and plays an anti-fibrosis role by inhibiting TNF-α/PI3K Akt signaling pathway.

Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

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 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.