1.Epidemiological analysis of a cluster outbreak of pulmonary tuberculosis among grade 12 students from a boaring high school in Chongqing
LEI Rongrong, FENG Xinyu, XIA Siyue, JIANG Chuan, ZHANG Ting, WU Chengguo
Chinese Journal of School Health 2026;47(1):113-116
Objective:
To analyze the process of handling a pulmonary tuberculosis(TB) outbreak among senior high school students in a boarding school in Chongqing, as well as to investigate the underlying causes of the outbreak, so as to provide evidence to inform TB prevention and control strategies in school settings.
Methods:
From November 2023 to April 2024, an epidemiological investigation was conducted into the TB outbreak in a grade 12 class from a boarding high school. Suspected cases were screened using symptom screening, tuberculin skin test (TST), and chest X-ray examinations. Confirmed cases underwent individual epidemiological interviews and sputum culture; Cultured positive mycobacterial strains were subjected to whole genome sequencing after identification as Mycobacterium tuberculosis.
Results:
A total of 10 active pulmonary TB cases were identified, all from the same class, yielding a student attack rate of 16.67%. Three isolates were culture positive, as well as all strains were of L2 type,and the WGS analysis of the strains suggested a common transmission chain. Excluding the index case, four additional cases were detected through symptom driven health care visits. Notably, 70% of patients presented with "chest tightness and chest pain" symptoms, and 50% had "cough" symptoms,but none were detected during morning health checks or tracking of absences due to illness. A total of 326 contacts were identified and underwent three rounds of screening and one follow up examination. In the initial screening, 35 close contacts from the same class showed strong TST positivity, corresponding to a strong positivity rate of 55.56%, significantly higher than the 20.76% observed among casual contacts ( χ 2=29.80, P <0.01). Among the 35 strongly TST positivvity close contacts and five individuals with moderate TST positivity whose induration had increased by ≥10 mm over two years, none received timely preventive treatment initially; five of them were subsequently diagnosed with active TB within three months. Following this, 25 individuals initiated preventive therapy, resulting in a preventive treatment initiation rate of 62.50%. Among TST negative classmates who converted to strong positivity on repeat TST testing at three months, 75.00% started preventive treatment, but only 22.22% completed the full course.
Conclusion
Inadequate implementation of morning health checks and cause tracking for absenteeism due to illness, poorly standardized screening procedures, and delayed preventive treatment may have been key factors contributing to the spread of the outbreak.
2.Key scientific issues and breakthrough paths to eliminate the harm of hepatitis B virus infection
Yixue WANG ; Bo PENG ; Lei WEI ; Quanxin LONG ; Yuchen XIA ; Yinyan SUN ; Wenhui LI
Journal of Clinical Hepatology 2026;42(1):2-6
Hepatitis B virus (HBV) exclusively infects liver parenchymal cells and forms covalently closed circular DNA (cccDNA) within their nuclei. HBV cccDNA serves as the essential template for viral gene transcription, the sole source of progeny virus production, and the key driver of viral antigen expression, and it is the molecular basis for the persistence of HBV infection. Therefore, elimination and/or functional silencing of cccDNA is the key to eradicate chronic HBV infection. This article discusses the critical scientific issues that need to be solved during elimination of the harm of HBV infection from the perspectives of the synthesis, transcription, and clearance of cccDNA, as well as the impact of nonparenchymal cells on cccDNA, in order to provide a reference for eradicating HBV infection in the future.
3.Investigation of somatization symptoms and related factors in adolescents during frequent earthquakes in Hefei
Yu ZHUANG ; Pei TANG ; Yinghan TIAN ; Peng YAO ; Lei XIA ; Huanzhong LIU
Acta Universitatis Medicinalis Anhui 2026;61(1):141-145
ObjectiveTo investigate somatization symptoms in adolescents during frequent earthquakes in Hefei, and to explore their correlation with earthquake experiences. MethodsA cross-sectional survey was used to select 324 adolescents in Hefei as the survey objects. The self-rating scale of somatization symptoms (SSS) and the fatigue intensity scale (FIS) were used to evaluate the somatization symptoms and fatigue degree of middle school students, and multivariate Logistic regression analysis was used to explore the related factors of somatization symptoms and fatigue among middle school students. ResultsA total of 324 adolescents were included, and the overall detection rate of somatization symptoms was 6.5%, and the detection rate of moderate or above fatigue was 20.1%. The results of regression analysis showed that adolescents who were concerned about the earthquake for a longer time (≥1 h) had a higher risk of somatization symptoms (OR=5.430, 95%CI: 1.547-19.058), and adolescents who received pre-earthquake training had a lower degree of fatigue (OR=0.535, 95%CI: 0.292-0.981) (P<0.05). ConclusionDuring the frequent earthquakes, adolescents have more somatization symptoms and fatigue. Therefore, it is crucial to enhance health education, reduce the emphasis on event-related reports, and implement earthquake prevention and disaster reduction training to improve the physical and mental health of adolescents.
4.Risk factors for postoperative delirium after pneumonectomy: A systematic review and meta-analysis
Lei YE ; Guanghong WU ; Jiefang DING ; Qin WANG ; Guanghui XIA
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):624-630
Objective To systematically evaluate the risk factors for postoperative delirium (POD) in patients undergoing pneumonectomy. Methods PubMed, Web of Science, Cochrane Library, CNKI, Wanfang, and VIP databases were searched from the inception to November 7, 2024 for cross-sectional studies, case-control studies, and cohort studies on POD in patients undergoing pneumonectomy. Two researchers independently screened the literature, extracted data, and evaluated the quality of the literature. RevMan 5.4.1 software was used for meta-analysis. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the literature. Results A total of 12 studies were included, with 5 574 patients. The NOS scores of the literature were all≥6 points. Meta-analysis results showed that age (≥60 years) [OR=2.43, 95%CI (2.01, 2.93), P<0.01], American Society of Anesthesiologists (ASA) classification (Ⅳ) [OR=8.74, 95%CI (5.23, 14.61), P<0.01], history of diabetes [OR=12.81, 95%CI (10.45, 15.71), P<0.01], history of cerebrovascular disease [OR=3.00, 95%CI (2.46, 3.67), P<0.01], depression [OR=7.27, 95%CI (5.46, 9.67), P<0.01], squamous cell carcinoma [OR=4.79, 95%CI (1.83, 12.51), P<0.01], malnutrition [OR=5.25, 95%CI (3.35, 8.25), P<0.01], sleep disorders [OR=2.79, 95%CI (2.28, 3.42), P<0.01], and duration of one-lung ventilation during surgery [OR=1.32, 95%CI (1.11, 1.57), P<0.01] were all risk factors for POD, while high body mass index (BMI) [OR=0.96, 95%CI (0.95, 0.97), P<0.01] was a protective factor for POD. Conclusion Age (≥60 years), ASA classification (Ⅳ), history of diabetes, history of cerebrovascular disease, depression, squamous cell carcinoma, malnutrition, sleep disorders, and duration of one-lung ventilation during surgery are independent risk factors for POD, while high BMI is a protective factor.
5.Construction and Application of a Multicenter Traditional Chinese Medicine Proctology Disease Data Platform Based on Multimodal Large Models
Yuxin ZHU ; Liping ZHAO ; Jiafa LU ; Huiting ZHU ; Xia YANG ; Lei DU ; Kang DING
Journal of Traditional Chinese Medicine 2026;67(7):770-775
This paper has constructed a traditional Chinese medicine (TCM) specialized disease dataset platform for mixed hemorrhoids based on a multimodal large model, and the preliminary application has been validated. The platform uses StarRocks to establish a four-level data warehouse system, enabling the aggregation, cleaning, and standardization of multi-source heterogeneous data. Using DeepSeek-R1-Distill-Qwen-7B as the base model, domain fine-tuning is performed through low-rank adaptation (LoRA) technology. Combined with LLaMA-3.3 natural language processing and reasoning chain techniques, the platform enables intelligent parsing and structured extraction of unstructured TCM medical records. It accurately identifies six major categories and 28 subcategories of entities, including symptoms and syndromes, with a fine-tuned model F1 score of 93.8%. The platform has established a high-quality specialized disease dataset containing more than 50,000 medical records and has been applied in a real-world study involving 17,831 patients, preliminarily verifying the efficacy of TCM heritage surgery.
6.Study on The Effect and Mechanism of Luteolin Against Mycoplasma pneumoniae
Xia OU ; Zhao-Hong LIU ; Lei TANG ; Jian-Ming XIA ; Kai YANG ; Kai-Yi DING ; Guo-Yang LIAO ; Ze LIU ; Ji-Hong ZHANG
Progress in Biochemistry and Biophysics 2026;53(5):1207-1223
ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC90 values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.
7.Study on The Effect and Mechanism of Luteolin Against Mycoplasma pneumoniae
Xia OU ; Zhao-Hong LIU ; Lei TANG ; Jian-Ming XIA ; Kai YANG ; Kai-Yi DING ; Guo-Yang LIAO ; Ze LIU ; Ji-Hong ZHANG
Progress in Biochemistry and Biophysics 2026;53(5):1207-1223
ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC90 values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.
8.Exploring Vascular Recruitment in Tracheobronchial Adenoid Cystic Carcinoma from Perspective of Abnormal Collateral
Jun TENG ; Lei LI ; Junyan XIA ; Yi LUO ; Qinyan HONG ; Shuiping CHEN ; Hongwu WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(6):260-269
Tracheobronchial adenoid cystic carcinoma (TACC) is a low-grade malignant tumor originating from the airway mucosa. Despite its slow progression,it is characterized by high invasiveness,frequent recurrence,and a strong tendency for metastasis. Preclinical studies have shown that vascular-targeted therapy holds significant potential. However,an effective systemic treatment for TACC has not been established yet. This study explored TACC from the perspective of "Feiji" in traditional Chinese medicine (TCM) as the starting point. It deeply investigated the mechanisms of abnormal collaterals and tumor vascular recruitment and further elaborated on the theoretical connection between abnormal collaterals and tumor vascular recruitment. Firstly,collateral hyperactivity led to disordered and erratic pulmonary collaterals. Their abnormal structures were similar to the disorderly and tortuous nature of tumor (pseudo)angiogenesis. This resulted in imbalances in the functions of circulation,perfusion,and reverse injection of the pulmonary collaterals,and then led to unrestrained collateral dysfunction and the accumulation of pathogenic factors. Secondly,the remodeling of the extracellular matrix (ECM) and epithelial-mesenchymal transition (EMT) in TACC were critical processes in vascular co-option (VCO),representing the micro-level manifestation of the displacement of nutrient and defense. During this process,ECM remodeling made TACC cells more likely to hijack normal blood vessels,creating a complex vascular microenvironment conducive to tumor growth. In terms of treatment,this study proposed a TCM strategy of "regulating collaterals to expel pathogenic factors and nourishing collaterals to strengthen the healthy Qi",and listed potential TCM. These were intended to regulate the Qi and blood in the collaterals,repair the functions of abnormal collaterals,and intervene in the vascular recruitment process of TACC. Future research should focus on improving the TCM clinical syndrome characteristics of TACC. Through modern molecular biology techniques,it is necessary to deeply analyze the micro-level pattern of vascular recruitment in TACC. This would enrich the understanding of the profound connection between abnormal collaterals and tumor vascular recruitment,providing empirical evidence for TCM-targeted therapies for vascular recruitment in TACC.
9.Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis
Jian LIU ; Hongchun ZHANG ; Chengxiang WANG ; Hongsheng CUI ; Xia CUI ; Shunan ZHANG ; Daowen YANG ; Cuiling FENG ; Yubo GUO ; Zengtao SUN ; Huiyong ZHANG ; Guangxi LI ; Qing MIAO ; Sumei WANG ; Liqing SHI ; Hongjun YANG ; Ting LIU ; Fangbo ZHANG ; Sheng CHEN ; Wei CHEN ; Hai WANG ; Lin LIN ; Nini QU ; Lei WU ; Dengshan WU ; Yafeng LIU ; Wenyan ZHANG ; Yueying ZHANG ; Yongfen FAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):182-188
The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis (GS/CACM 337-2023) was released by the China Association of Chinese Medicine on December 13th, 2023. This expert consensus was developed by experts in methodology, pharmacy, and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine (CACM) and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine (pulmonary diseases) and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung, acute bronchitis, and acute attack of chronic bronchitis from the aspects of applicable populations, efficacy evaluation, usage, dosage, drug combination, and safety. It is expected to guide the rational drug use in medical and health institutions, give full play to the unique value of Qinbaohong Zhike oral liquid, and vigorously promote the inheritance and innovation of Chinese patent medicines.
10.Comprehensive evaluation of benign and malignant pulmonary nodules using combined biological testing and imaging assessment in 1 017 patients: A retrospective cohort study
Lei ZHANG ; Zihao LI ; Nan LI ; Jun CHENG ; Feng ZHANG ; Pinghui XIA ; Wang LÜ ; ; Jian HU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(01):60-66
Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.


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