A 51-year-old male presented with nasal obstruction, followed by progressive hearing loss and blurred vision. Imaging identified space-occupying lesions in the paranasal sinuses, orbits, and paraspinal regions, while laboratory tests confirmed positive anti-proteinase 3 anti-neutrophil cytoplasmic antibody(PR3- ANCA) immunoglobulin G (IgG)and markedly elevated serum IgG4. Despite treatment with corticosteroids, immunosuppressants, and radiotherapy, the patient exhibited steroid dependency with relentless disease progression. Following multidisciplinary consultation, a diagnosis of inflammatory myofibroblastic tumor (IMT) coexisting with ANCA- associated vasculitis (AAV) was favored, though IgG4-related disease remained a critical differential. Ultimately, profound immunosuppression precipitated a severe herpesvirus infection, leading to disseminated intravascular coagulation and multiple organ dysfunction syndrome. This case underscores the rarity and diagnostic complexity of concurrent IMT and AAV, highlights the therapeutic dilemma of balancing primary disease control against fatal opportunistic infections, and emphasizes the critical role of multidisciplinary collaboration in the diagnosis and treatment of complex diseases.

Tumor stromal tissue and tumor cells constitute the majority of tumor tissue, and were long thought to be sterile. Advances in detection technology and an increasing understanding of the tumor microenvironment have revealed that microbiota with complex functions are potential components of the tumor microenvironment. Intratumoral microbiota can promote tumor development by regulating the immune microenvironment, activating oncogenic pathways, and secreting metabolites. Intratumoral microbiota can also predict tumor prognosis. Given the diversity of microorganisms, including bacteria, fungi, and viruses, and the body of research on the connection between microbiota and tumor, this review summarizes current methods for analyzing intratumoral microbiota, explores the association among intratumoral microbiota, tumorigenesis, tumor development, and tumor prognosis, and discusses unanswered questions in the study of intratumoral microbiota.

Objective:To investigate the clinical characteristics and risk factors of airway mucus plugging in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:This was a retrospective cross-sectional study. A total of 322 hospitalized AECOPD patients admitted to the First Affiliated Hospital of Anhui Medical University from February 2023 to February 2025 were enrolled. Based on chest high-resolution computed tomography (HRCT) findings of airway mucus plugging, patients were classified into mucus plugging and non-mucus plugging groups. General and clinical data were collected, including age, sex, disease duration, smoking and alcohol history, comorbidities, number of acute exacerbations in the past year, routine blood tests, biochemical indices, pulmonary function, and pathogen detection. The incidence of airway mucus plugging in AECOPD patients was calculated, and differences in baseline characteristics, laboratory parameters, and pulmonary function between the two groups were compared. Logistic regression was used to identify independent risk factors for mucus plugging, and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of relevant indicators.Results:Of the 322 enrolled patients, 87(27.02%) were found to have airway mucus plugging. Univariate analysis revealed statistically significant differences between the mucus plug group and the non-plug group in the following parameters (all P<0.05): body mass index (BMI), disease duration, smoking status, Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification, modified British Medical Research Council (mMRC) dyspnea scale, COPD Assessment Test (CAT) score, frequency of acute exacerbations, neutrophil percentage, absolute lymphocyte count, lymphocyte percentage, albumin, C-reactive protein (CRP), activated partial thromboplastin time, fibrinogen, fibrin(ogen) degradation products, D-dimer, Aspergillus infection rate, percentage of forced expiratory volume in 1 second to predicted value (FEV 1%pred), ratio of FEV 1 to forced vital capacity (FEV 1/FVC), and percentage of maximal mid-expiratory flow to predicted value (MMEF 75/25%pred). Multivariate logistic regression analysis identified the following as independent risk factors for airway mucus plugs (all P<0.05): elevated CRP ( OR=1.022, 95% CI: 1.013-1.036), decreased albumin ( OR=0.891, 95% CI: 0.825-0.959), Aspergillus infection ( OR=1.774, 95% CI: 1.366-2.317), and reduced MMEF 75/25%pred value ( OR=0.978, 95% CI: 0.964-0.990). ROC curve analysis showed that the combined predictive model incorporating CRP, albumin, Aspergillus infection, and MMEF 75/25%pred had an area under the ROC curve (AUC) of 0.776(95% CI: 0.714-0.838), which was superior to each individual indicator alone, with AUCs of 0.721 for CRP, 0.687 for albumin, 0.579 for Aspergillus infection, and 0.631 for MMEF 75/25%pred. Conclusions:AECOPD patients with airway mucus plugging exhibit higher inflammatory markers, poorer nutritional status, a higher likelihood of Aspergillus infection, worse pulmonary function, and poorer prognosis. Aspergillus infection, elevated CRP, decreased albumin, and reduced MMEF 75/25%pred are independent risk factors for mucus plugs in AECOPD.

OBJECTIVE: To evaluate the immediate effect of Kuanxiong Aerosol (KXA) on perioperative coronary microcirculation in patients with unstable angina (UA) suffering from elective percutaneous coronary intervention (PCI). METHODS: From February 2021 to July 2023, UA inpatients who underwent PCI alone in the left anterior descending (LAD) branch were included. Random numbers were generated to divide patients into the trial group and the control group at a ratio of 1:1. The index of coronary microcirculation resistance (IMR) was measured before PCI, and the trial group was given two sprays of KXA, while the control group was not given. IMR was measured again after PCI, cardiac troponin I (cTnI) and creatine kinase isoenzyme-MB (CK-MB) were detected before and 24 h after surgery, and major cardiovascular adverse events (MACEs) were recorded for 30 days. The data statistics and analysis personnel were blinded. RESULTS: Totally 859 patients were screened, and 62 of them were involved into this study. Finally, 1 patient in the trial group failed to complete the post-PCI IMR and was excluded, 30 patients were included for data analysis, while 31 patients in the control group were enrolled in data analysis. There was no significant difference in baseline data (age, gender, risk factors, previous history, biochemical index, and drug therapy, etc.) between the two groups. In addition, differences in IMR, cTnI and CK-MB were not statistically significant between the two groups before surgery. After PCI, the IMR level of the trial group was significantly lower than that of the control group (19.56 ± 14.37 vs. 27.15 ± 15.03, P=0.048). Besides, the incidence of perioperative myocardial injury (PMI) was lower in the trial group, but the difference was not statistically significant (6.67% vs. 16.13%, P=0.425). No MACEs were reported in either group. CONCLUSIONS KXA has the potential of improving coronary microvascular dysfunction. This study provides reference for the application of KXA in UA patients undergoing elective PCI. (Registration No. ChiCTR2300069831).
Humans ; Percutaneous Coronary Intervention ; Male ; Microcirculation/drug effects* ; Female ; Angina, Unstable/physiopathology* ; Pilot Projects ; Middle Aged ; Aged ; Drugs, Chinese Herbal/pharmacology* ; Aerosols ; Troponin I/blood* ; Coronary Circulation/drug effects* ; Elective Surgical Procedures

This study was aimed at understanding the relationships among the drug resistance and genome characteristics of group A Streptococcus in Jiangsu Province.A total of 149 group A Streptococcus strains were collected from hospitals between 2016 and 2023.Thirteen antimicrobial minimal inhibitory concentrations were detected with the micro-dilution broth method.The GAS strains were typed with emm genotyping analysis and whole genome sequencing,to determine the carriage rates of drug resistance genes and the evolutionary relationships among strains.The resistance rates of 149 GAS strains to erythromy-cin,tetracycline,and clindamycin exceeded 90％,whereas the strains showed sensitivity to 8 different antibiotics,including penicillin.Notably,the resistance rates to erythromycin,tetracycline,and clindamycin consistently increased over time.All strains were classified into 9 emm types,among which emm12 accounted for the highest proportion(77/149;51.68％).Signifi-cant statistical differences were observed among emm types,in terms of the drug resistance rate,number of resistant species,and prevalence of drug resistance genes.Furthermore,SNP evolutionary tree analysis revealed 3 distinct clusters within the GAS strains:emm12,emm1,and other emm types.emm 12 and emm1 were the dominant GAS strains in Jiangsu Province.Most isolates were resistant to erythromycin,tetracycline,and clindamycin.Differences in phenotypes and genomic characteris-tics were observed among emm types.

Objective:To investigate the predictive value of serum levels of Ninjurin 1(NINJ1),cystatin C(CysC),and D-dimer(D-D)for unfavorable outcomes in patients with acute myocardial infarction(AMI).Methods:A total of 118 AMI patients hospitalized in the Chinese PLA Joint Logistic Support Force 901st Hospital between Feb-ruary 2020 and March 2023 were enrolled.According to prognosis within 6 months after treatment,patients were divided into favorable outcome group and unfavorable outcome group.Serum levels of CysC,D-D and NINJ1 were measured upon admission.Multivariate Logistic regression analysis was conducted to identify the factors influencing unfavorable outcome in AMI patients.Receiver operating characteristic(ROC)curves were used to analyze the pre-dictive value of serum NINJ1,CysC and D-D for the prognosis of AMI patients.A nomogram model for predicting unfavorable outcome in AMI patients was constructed and verified.Results:Compared to patients with favorable outcomes,those with unfavorable outcomes had significantly higher proportions of hypertension,diabetes,number of diseased coronary arteries ≥2,and serum levels of NINJ1,CysC and D-D,as well as a significantly lower pro-portion of Killip class Ⅰ-Ⅱ(P＜0.01 all).Multivariate Logistic regression analysis showed that number of diseased coronary arteries ≥2(OR=3.817,95％CI 1.140～12.779,P=0.030),Killip class Ⅲ-Ⅳ(OR=5.639,95％CI 1.706～18.637,P=0.005),hypertension(OR=4.188,95％CI 1.392～12.600,P=0.011),diabetes(OR=3.480,95％CI 1.148～10.552,P=0.028),and serum levels of NINJ1(OR=1.055,95％CI 1.009～1.103,P=0.018),CysC(OR=75.232,95％CI 5.537～545.908,P=0.003),and D-D(OR=56.163,95％CI 1.610～958.586,P=0.026)were significantly associated with unfavorable outcomes at 6 months in AMI patients.ROC a-nalysis showed that the AUC of serum NINJ1,CysC and D-D combined predicting unfavorable outcomes was 0.801(95％CI 0.718～0.869),which was significantly higher than those of serum NINJ1(0.675,95％CI 0.582～0.758)and D-D(0.676,95％CI 0.583～0.759)alone(Z=2.344,P=0.019;Z=2.173,P=0.030,),but the difference was not significant comparing to CysC alone(Z=1.856,P=0.064).The C-index of the nomogram model predic-ting unfavorable outcomes was 0.973(95％CI 0.967～0.986),and the predicted values of calibration curve were consistent with the actual values,indicating good prediction accuracy.Conclusion:Elevated serum levels of NINJ1,CysC and D-D in AMI patients were significantly associated with unfavorable outcomes.Combined detection of these indicators may accurately predict unfavorable outcomes compared to single detection,and the constructed no-mogram model exhibits good prediction efficacy.

This study was aimed at understanding the relationships among the drug resistance and genome characteristics of group A Streptococcus in Jiangsu Province.A total of 149 group A Streptococcus strains were collected from hospitals between 2016 and 2023.Thirteen antimicrobial minimal inhibitory concentrations were detected with the micro-dilution broth method.The GAS strains were typed with emm genotyping analysis and whole genome sequencing,to determine the carriage rates of drug resistance genes and the evolutionary relationships among strains.The resistance rates of 149 GAS strains to erythromy-cin,tetracycline,and clindamycin exceeded 90％,whereas the strains showed sensitivity to 8 different antibiotics,including penicillin.Notably,the resistance rates to erythromycin,tetracycline,and clindamycin consistently increased over time.All strains were classified into 9 emm types,among which emm12 accounted for the highest proportion(77/149;51.68％).Signifi-cant statistical differences were observed among emm types,in terms of the drug resistance rate,number of resistant species,and prevalence of drug resistance genes.Furthermore,SNP evolutionary tree analysis revealed 3 distinct clusters within the GAS strains:emm12,emm1,and other emm types.emm 12 and emm1 were the dominant GAS strains in Jiangsu Province.Most isolates were resistant to erythromycin,tetracycline,and clindamycin.Differences in phenotypes and genomic characteris-tics were observed among emm types.

Objective:To investigate the predictive value of serum levels of Ninjurin 1(NINJ1),cystatin C(CysC),and D-dimer(D-D)for unfavorable outcomes in patients with acute myocardial infarction(AMI).Methods:A total of 118 AMI patients hospitalized in the Chinese PLA Joint Logistic Support Force 901st Hospital between Feb-ruary 2020 and March 2023 were enrolled.According to prognosis within 6 months after treatment,patients were divided into favorable outcome group and unfavorable outcome group.Serum levels of CysC,D-D and NINJ1 were measured upon admission.Multivariate Logistic regression analysis was conducted to identify the factors influencing unfavorable outcome in AMI patients.Receiver operating characteristic(ROC)curves were used to analyze the pre-dictive value of serum NINJ1,CysC and D-D for the prognosis of AMI patients.A nomogram model for predicting unfavorable outcome in AMI patients was constructed and verified.Results:Compared to patients with favorable outcomes,those with unfavorable outcomes had significantly higher proportions of hypertension,diabetes,number of diseased coronary arteries ≥2,and serum levels of NINJ1,CysC and D-D,as well as a significantly lower pro-portion of Killip class Ⅰ-Ⅱ(P＜0.01 all).Multivariate Logistic regression analysis showed that number of diseased coronary arteries ≥2(OR=3.817,95％CI 1.140～12.779,P=0.030),Killip class Ⅲ-Ⅳ(OR=5.639,95％CI 1.706～18.637,P=0.005),hypertension(OR=4.188,95％CI 1.392～12.600,P=0.011),diabetes(OR=3.480,95％CI 1.148～10.552,P=0.028),and serum levels of NINJ1(OR=1.055,95％CI 1.009～1.103,P=0.018),CysC(OR=75.232,95％CI 5.537～545.908,P=0.003),and D-D(OR=56.163,95％CI 1.610～958.586,P=0.026)were significantly associated with unfavorable outcomes at 6 months in AMI patients.ROC a-nalysis showed that the AUC of serum NINJ1,CysC and D-D combined predicting unfavorable outcomes was 0.801(95％CI 0.718～0.869),which was significantly higher than those of serum NINJ1(0.675,95％CI 0.582～0.758)and D-D(0.676,95％CI 0.583～0.759)alone(Z=2.344,P=0.019;Z=2.173,P=0.030,),but the difference was not significant comparing to CysC alone(Z=1.856,P=0.064).The C-index of the nomogram model predic-ting unfavorable outcomes was 0.973(95％CI 0.967～0.986),and the predicted values of calibration curve were consistent with the actual values,indicating good prediction accuracy.Conclusion:Elevated serum levels of NINJ1,CysC and D-D in AMI patients were significantly associated with unfavorable outcomes.Combined detection of these indicators may accurately predict unfavorable outcomes compared to single detection,and the constructed no-mogram model exhibits good prediction efficacy.

Objective:To investigate the clinical characteristics and risk factors of airway mucus plugging in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:This was a retrospective cross-sectional study. A total of 322 hospitalized AECOPD patients admitted to the First Affiliated Hospital of Anhui Medical University from February 2023 to February 2025 were enrolled. Based on chest high-resolution computed tomography (HRCT) findings of airway mucus plugging, patients were classified into mucus plugging and non-mucus plugging groups. General and clinical data were collected, including age, sex, disease duration, smoking and alcohol history, comorbidities, number of acute exacerbations in the past year, routine blood tests, biochemical indices, pulmonary function, and pathogen detection. The incidence of airway mucus plugging in AECOPD patients was calculated, and differences in baseline characteristics, laboratory parameters, and pulmonary function between the two groups were compared. Logistic regression was used to identify independent risk factors for mucus plugging, and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of relevant indicators.Results:Of the 322 enrolled patients, 87(27.02%) were found to have airway mucus plugging. Univariate analysis revealed statistically significant differences between the mucus plug group and the non-plug group in the following parameters (all P<0.05): body mass index (BMI), disease duration, smoking status, Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification, modified British Medical Research Council (mMRC) dyspnea scale, COPD Assessment Test (CAT) score, frequency of acute exacerbations, neutrophil percentage, absolute lymphocyte count, lymphocyte percentage, albumin, C-reactive protein (CRP), activated partial thromboplastin time, fibrinogen, fibrin(ogen) degradation products, D-dimer, Aspergillus infection rate, percentage of forced expiratory volume in 1 second to predicted value (FEV 1%pred), ratio of FEV 1 to forced vital capacity (FEV 1/FVC), and percentage of maximal mid-expiratory flow to predicted value (MMEF 75/25%pred). Multivariate logistic regression analysis identified the following as independent risk factors for airway mucus plugs (all P<0.05): elevated CRP ( OR=1.022, 95% CI: 1.013-1.036), decreased albumin ( OR=0.891, 95% CI: 0.825-0.959), Aspergillus infection ( OR=1.774, 95% CI: 1.366-2.317), and reduced MMEF 75/25%pred value ( OR=0.978, 95% CI: 0.964-0.990). ROC curve analysis showed that the combined predictive model incorporating CRP, albumin, Aspergillus infection, and MMEF 75/25%pred had an area under the ROC curve (AUC) of 0.776(95% CI: 0.714-0.838), which was superior to each individual indicator alone, with AUCs of 0.721 for CRP, 0.687 for albumin, 0.579 for Aspergillus infection, and 0.631 for MMEF 75/25%pred. Conclusions:AECOPD patients with airway mucus plugging exhibit higher inflammatory markers, poorer nutritional status, a higher likelihood of Aspergillus infection, worse pulmonary function, and poorer prognosis. Aspergillus infection, elevated CRP, decreased albumin, and reduced MMEF 75/25%pred are independent risk factors for mucus plugs in AECOPD.

Tumor stromal tissue and tumor cells constitute the majority of tumor tissue, and were long thought to be sterile. Advances in detection technology and an increasing understanding of the tumor microenvironment have revealed that microbiota with complex functions are potential components of the tumor microenvironment. Intratumoral microbiota can promote tumor development by regulating the immune microenvironment, activating oncogenic pathways, and secreting metabolites. Intratumoral microbiota can also predict tumor prognosis. Given the diversity of microorganisms, including bacteria, fungi, and viruses, and the body of research on the connection between microbiota and tumor, this review summarizes current methods for analyzing intratumoral microbiota, explores the association among intratumoral microbiota, tumorigenesis, tumor development, and tumor prognosis, and discusses unanswered questions in the study of intratumoral microbiota.