ObjectiveTo explore the characteristics of the tongue coating microbiota in patients of coronary heart disease （CHD） with qi deficiency and blood stasis syndrome. MethodsA total of 27 CHD patients with qi deficiency and blood stasis syndrome， 29 patients with non-qi deficiency and blood stasis syndrome， and 20 healthy individuals were included in this study. The tongue coating microbiota of the participants was analyzed using 16S rDNA high-throughput sequencing technology， followed by Alpha and Beta diversity analyses and comparisons of microbial abundance. ResultsA total of 479 operational taxonomic units （OTUs） were detected， among which 245 OTUs were shared across all three groups. There were 33 OTUs unique to the qi deficiency and blood stasis syndrome group， 21 OTUs unique to the non-qi deficiency and blood stasis syndrome group， and 121 OTUs unique to the healthy group. The observed species count （Sob）， total species richness （Chao1）， abundance-based coverage estimator （ACE）， and Shannon diversity index were significantly lower in the qi deficiency and blood stasis syndrome and non-qi deficiency and blood stasis syndrome groups compared to the healthy group （P＜0.05）. Principal coordinate analysis （PCoA） of the tongue coating microbiota showed significant differences in distance matrices among the three groups （P＜0.05）. Compared with the healthy group， the qi deficiency and blood stasis syndrome group exhibited an increased abundance of Actinobacteria， Patescibacteria， Spirochaetes， Verrucomicrobia， Rothia， TM7X， Gemella， and Corynebacterium， while Fusobacteria， Cyanobacteria， Leptotrichia， and Lactobacillus decreased （P＜0.05）. In the non-qi deficiency and blood stasis syndrome group， Actinobacteria， Verrucomicrobia， Rothia， and Corynebacterium increased， whereas Cyanobacteria and Lactobacillus reduced （P＜0.05）. When comparing with the non-qi deficiency and blood stasis syndrome group， the qi deficiency and blood stasis syndrome group had a significantly higher abundance of Patescibacteria， Peptostreptococcus， Solobacterium， Filifactor， Moraxella， Porphyromonas endodontalis， and Capnocytophaga， while Cyanobacteria reduced （P＜0.05）. Conclusuion Patients with CHD of qi deficiency and blood stasis syndrome exhibit a decrease in beneficial bacteria and an increase in pathogenic bacteria. Patescibacteria， Peptostreptococcus， Solobacterium， Filifactor， Moraxella， Porphyromonas endodontalis， and Capnocytophaga were identified as the key differential microbiota distinguishing qi deficiency and blood stasis syndrome from non-qi deficiency and blood stasis syndrome patients.

The concept of amplification feedback pathways represents an intersection between electronics and control theory,involving both amplification and feedback processes.It reveals the dynamic evolution mechanisms of systems under the combined influence of these two processes.In Traditional Chinese Medicine(TCM),Chest Bi syndrome is considered a"ben xu biao shi"condition,with its primary pathology located in the heart and closely related to other organs such as the liver,spleen and kidneys.This article focuses on the interrelationship between organ dysfunction and the imbalance of the Five Elements Theory.By applying amplification feedback theory and models,the study constructs and analyzes single-stage amplification feedback pathways involving the heart,liver and kidneys,as well as double-stage amplification feedback pathways involving the heart,liver,kidneys and spleen,in the context of multifactorial interactions such as heart and kidney Yang deficiency,Qi stagnation in the heart and chest,and spleen-stomach dysfunction.Particular emphasis is placed on analyzing the phenomena of deep feedback and self-excited oscillation,and specific formulas and clinical evidence are used to validate the analysis results,clarifying the role of relevant organ function changes in the pathogenesis of Chest Bi syndrome.The article aims to provide new insights into the complex pathogenesis of refractory diseases from a control theory perspective,offering new directions for modernizing TCM research with digital technology and theoretical support for future simulation-based digital systems guided by TCM theory.

Objective To observe the value of CT radiomics machine learning(ML)model for predicting stone free rate(SFR)of urinary calculi after retrograde intrarenal surgery(RIRS).Methods Totally 216 patients with urinary calculi who underwent RIRS were retrospectively enrolled and divided into residual group(n=73)and non-residual group(n=143).Univariate and multivariate logistic regression(LR)were performed to analyze clinical data and CT manifestations of stones to screen independent predictors of SFR after RIRS.Window width and window level normalization combined with max-min normalization(denoted as method a),max-min normalization(denoted as method b),window width and window level normalization(denoted as method c)and non-normalization(denoted as method d)of pre-RIRS abdominal CT were performed,respectively,and the best radiomics features of stones were extracted and screened to establish ML models,including support vector machine(SVM),LR and stochastic gradient descent(SGD)models,and the best ML model was screened.RUSS and modified S.T.O.N.E scores were evaluated based on pre-RIRS CT for predicting SFR of urinary calculi after RIRS.A combined model was then constructed with the independent predictors and the best ML model.The predictive efficacy of each model and scoring system were assessed.Results The number of stones,CT value and volume of the maximum stone were all independent predictors of SFR after RIRS(all P＜0.05).The area under the curve(AUC)of SVM model constructed with images preprocessed by method b was the highest(0.861),higher than that of the total scores of RUSS and modified S.T.O.N.E(AUC=0.750,0.759,both P＜0.05)but not different from that of combined model(AUC=0.853,P=0.775).Conclusion Radiomics SVM model based on max-min normalization preprocessed CT could effectively predict SFR of urinary calculi after RIRS.

Diffuse large B-cell lymphoma(DLBCL)is the most common subtype of non-Hodgkin lymphoma,which demonstrates significant heterogeneity.Some DLBCL exhibit poor responses to chemotherapy,highlighting the urgent need for precise prognostic evaluation methods.As a critical biological parameter,tumor burden closely associated with disease progression and unfavorable prognosis,but representing tumor burden of DLBCL only with anatomical parameters was not enough to comprehensively reflect its biology features.Multiple parameters derived from 18F-FDG PET/CT could characterize metabolic features of tumors,hence enabling accurate quantification of tumor burden and providing a theoretical basis for individualized treatment of DLBCL.The research progresses of 18 F-FDG PET/CT for assessing tumor burden of DLBCL were reviewed in this article.

Objective To observe the value of CT radiomics machine learning(ML)model for predicting stone free rate(SFR)of urinary calculi after retrograde intrarenal surgery(RIRS).Methods Totally 216 patients with urinary calculi who underwent RIRS were retrospectively enrolled and divided into residual group(n=73)and non-residual group(n=143).Univariate and multivariate logistic regression(LR)were performed to analyze clinical data and CT manifestations of stones to screen independent predictors of SFR after RIRS.Window width and window level normalization combined with max-min normalization(denoted as method a),max-min normalization(denoted as method b),window width and window level normalization(denoted as method c)and non-normalization(denoted as method d)of pre-RIRS abdominal CT were performed,respectively,and the best radiomics features of stones were extracted and screened to establish ML models,including support vector machine(SVM),LR and stochastic gradient descent(SGD)models,and the best ML model was screened.RUSS and modified S.T.O.N.E scores were evaluated based on pre-RIRS CT for predicting SFR of urinary calculi after RIRS.A combined model was then constructed with the independent predictors and the best ML model.The predictive efficacy of each model and scoring system were assessed.Results The number of stones,CT value and volume of the maximum stone were all independent predictors of SFR after RIRS(all P＜0.05).The area under the curve(AUC)of SVM model constructed with images preprocessed by method b was the highest(0.861),higher than that of the total scores of RUSS and modified S.T.O.N.E(AUC=0.750,0.759,both P＜0.05)but not different from that of combined model(AUC=0.853,P=0.775).Conclusion Radiomics SVM model based on max-min normalization preprocessed CT could effectively predict SFR of urinary calculi after RIRS.

Diffuse large B-cell lymphoma(DLBCL)is the most common subtype of non-Hodgkin lymphoma,which demonstrates significant heterogeneity.Some DLBCL exhibit poor responses to chemotherapy,highlighting the urgent need for precise prognostic evaluation methods.As a critical biological parameter,tumor burden closely associated with disease progression and unfavorable prognosis,but representing tumor burden of DLBCL only with anatomical parameters was not enough to comprehensively reflect its biology features.Multiple parameters derived from 18F-FDG PET/CT could characterize metabolic features of tumors,hence enabling accurate quantification of tumor burden and providing a theoretical basis for individualized treatment of DLBCL.The research progresses of 18 F-FDG PET/CT for assessing tumor burden of DLBCL were reviewed in this article.

The concept of amplification feedback pathways represents an intersection between electronics and control theory,involving both amplification and feedback processes.It reveals the dynamic evolution mechanisms of systems under the combined influence of these two processes.In Traditional Chinese Medicine(TCM),Chest Bi syndrome is considered a"ben xu biao shi"condition,with its primary pathology located in the heart and closely related to other organs such as the liver,spleen and kidneys.This article focuses on the interrelationship between organ dysfunction and the imbalance of the Five Elements Theory.By applying amplification feedback theory and models,the study constructs and analyzes single-stage amplification feedback pathways involving the heart,liver and kidneys,as well as double-stage amplification feedback pathways involving the heart,liver,kidneys and spleen,in the context of multifactorial interactions such as heart and kidney Yang deficiency,Qi stagnation in the heart and chest,and spleen-stomach dysfunction.Particular emphasis is placed on analyzing the phenomena of deep feedback and self-excited oscillation,and specific formulas and clinical evidence are used to validate the analysis results,clarifying the role of relevant organ function changes in the pathogenesis of Chest Bi syndrome.The article aims to provide new insights into the complex pathogenesis of refractory diseases from a control theory perspective,offering new directions for modernizing TCM research with digital technology and theoretical support for future simulation-based digital systems guided by TCM theory.

Objective To investigate the hepatic hemodynamic characteristics of cirrhotic patients with splenectomy using iodine map of dual-source computed tomography(DSCT).Methods Twenty-four cirrhotic patients with splenectomy were selected as a study group,41 cirrhotic patients without splenectomy as a cirrhosis group and other 32 patients with normal liver as a control group.The iodine concentration(IC)in hepatic arterial and venous phases was measured on the iodine map,and the arterial iodine fraction(AIF)and portal venous iodine concentration(PVIC)were calculated.Receiver operating characteristic(ROC)curves were plotted and the area under the curve(AUC)was recorded to evaluate the diagnostic efficacy of each parameter using the DeLong test.Results IC in arterial phase and AIF were significantly higher,and IC in venous phase and PVIC were significantly lower in study group(P<0.05).The AUC values of the four parameters between study group and cirrhosis group were 0.735,0.992,0.943,and 0.994,respectively.Conclusion DSCT iodine map is helpful for clinical quantitative assessment of hepatic hemodynamic characteristics in cirrhotic patients with splenectomy,and the PVIC has optimal independent diagnostic performance.

Objective:To understand the infection status and characteristics of 2019-nCoV infection in different areas in China after the adjustment of the national prevention and control strategy of 2019-nCoV infection.Methods:The online questionnaire survey was conducted among staff and students of 39 public health schools in 23 provinces (municipalities) in China from 12: 00 on December 20 to 9: 00 on December 23, 2022. The infection rates in staff and students in all the provinces were estimated. The risk factors, demographic and clinical characteristics of 2019-nCoV infections were explored.Results:A total of 28 901 valid questionnaires were obtained (26 355 from students and 2 546 from staff) with a qualified rate of 94.3%. The infection rates varied greatly among provinces and cities; the infection rates in students and staff in Beijing reached 78.55% and 76.40%, respectively. Infection rates in students and staff in Tianjin and Hebei also exceeded 65.00%, and 96.76% of infections occurred on and after December 1, 2022. Students had lower risk for the infection compared with staff ( OR=0.72, 95% CI: 0.60-0.86). Compared with age group ≤20 years, the OR of age groups 21-30, 31-40, 41-50, 51-60 and > 60 years were 1.22 (95% CI: 1.14-1.30), 1.54 (95% CI: 1.30-1.84), 1.25 (95% CI: 0.99-1.58), 1.29 (95% CI: 0.94-1.78) and 1.19 (95% CI: 0.51-2.80), respectively. The longer the period after the last vaccination, the higher the risk for the infection. Compared with those who received the last vaccination in the past 3 months, the OR of those who received the last vaccination in the past 4-6 months, 7-9 months, 10-12 months, 13-15 months and ≥16 months were 1.56 (95% CI: 1.34-1.82), 1.59 (95% CI: 1.36-1.86), 1.67 (95% CI: 1.45-1.93), 1.86 (95% CI:1.58-2.19) and 2.46 (95% CI: 2.09-2.90), respectively. Compared with those living alone, the OR of those living with 1-2, 3-4 and ≥5 roommates were 17.55 (95% CI: 15.91-19.39), 20.22 (95% CI: 18.25-22.43) and 11.78 (95% CI: 10.40-13.36), respectively. Only 5.94% of the staff and 7.19% of the students reported asymptomatic infections. Among those with symptoms, 88.18% of students and 85.65% of staff reported symptom of fever. Conclusions:The transmission dynamics of 2019-nCoV infection varied significantly across the country. The speed of transmission of 2019-nCoV and clinical severity of the infection were far beyond our knowledge. Organized epidemiological survey should be regularly carried out to provide reliable data support for more accurate prediction of the epidemic and medical resource allocation.

Bacillus spp. are probiotics and can secrete a variety of natural antimicrobiol active substances, of which lipopeptides are an important class. Up to now, about 90 lipopeptides have been identified, and most of them are cyclic lipopeptides. surfactin, iturin, fengycin, bacillomycin and polymyxins are widely studied, and the first three have huge potential for application due to their properties of surfactants and anti-fungal, anti-bacterial, anti-viral, anti-tumor and anti-inflammatory functions. In this paper, the research progress in the structure, function, synthesis regulation, separation, purification and production of surfactin, iturin and fengycin was reviewed. Synthetic biology is a vital means to increase the yield of lipopeptides, and in the future, lipopeptides can be used in crop cultivation, animal farming, food, medicine and petroleum industries as well as environmental protection. Future research should be strengthened on the discovery of new lipopeptides, synthesis of high-activity lipopeptides, economical production of lipopeptides on a large scale and their safety evaluation.
Anti-Bacterial Agents ; Anti-Infective Agents/pharmacology* ; Bacillus ; Bacillus subtilis ; Lipopeptides/pharmacology* ; Peptides, Cyclic/pharmacology*