1.The Pathogenesis and Therapeutic Strategies of Nasal Inflammatory Diseases From The Perspective of Glycolytic Metabolic Reprogramming
Meng-Wei LI ; Ji-Tang CAI ; Jun-Jie WANG ; Yi-Bo CAI ; Meng-Ting TAN
Progress in Biochemistry and Biophysics 2026;53(5):1333-1355
Aberrant activation of glycolysis represents a key metabolic mechanism underlying the initiation and progression of nasal inflammation. Allergic rhinitis, chronic rhinosinusitis, and vasomotor rhinitis exhibit distinct etiologies, yet all are characterized by inflammatory responses, impaired epithelial barrier function, and neurovascular dysregulation, in which glycolytic metabolic reprogramming acts as a central hub connecting immunometabolism and inflammatory regulation.Recent evidence indicates that glycolysis-dependent activation of immune cells provides the essential energy basis for inflammatory onset. In dendritic cells, eosinophils, mast cells, and Th2 cells, the expression of key glycolytic enzymes including HK2, PKM2, and LDHA is upregulated, thereby promoting cellular activation and proinflammatory cytokine release via the mTOR-HIF-1α signaling axis. Notably, the metabolic reprogramming of eosinophils prolongs their survival and enhances the release of cytotoxic granules, while in mast cells, enhanced glycolysis facilitates IgE-mediated degranulation and histamine release. Furthermore, glycolysis also influences the Th17/Treg balance, with enhanced glycolytic flux promoting Th17 differentiation and contributing to the heterogeneous inflammatory profiles observed across different rhinitis subtypes.As a central metabolite, lactate contributes to the formation of a metabolism-inflammation vicious cycle through multiple mechanisms. Lactate acidifies the local microenvironment to activate TRPV1 channels and facilitate neuropeptide release, mediates immune cell chemotaxis through GPR81, and regulates gene expression via histone lactylation, thereby sustaining proinflammatory gene transcription. These lactate-mediated processes collectively amplify local inflammation and contribute to the persistence of nasal symptoms.Glycolytic reprogramming in epithelial cells is modulated by the EGF/EGFR pathway, and its dysregulation may result in disrupted tight junctions, abnormal goblet cell hyperplasia, and subsequent tissue remodeling. Substance P and calcitonin gene-related peptide released from sensory neurons, in conjunction with metabolic products, synergistically maintain persistent inflammatory stimulation by activating mast cells, forming a neuro-immune-metabolic regulatory network that drives disease chronicity.From a therapeutic perspective, glycolytic inhibitors such as 2-deoxyglucose, FX11, and 3-bromopyruvate exert anti-inflammatory effects by targeting key enzymes including HK2 and LDHA, each with distinct mechanisms: 2-DG competitively inhibits hexokinase, FX11 selectively targets LDHA to reduce lactate production, and 3-BrPA modulates multiple glycolytic enzymes. Moreover, traditional Chinese medicine formulas, monomeric active components, and small-molecule compounds have shown promising potential in alleviating nasal inflammation by regulating the mTOR-HIF-1α axis, exerting antioxidant effects, and modulating endoplasmic reticulum stress pathways. The multi-target characteristics of these natural products offer advantages in addressing the complex pathophysiology of nasal inflammatory diseases.Despite these advances, several challenges remain. The non-selective inhibition of glycolysis may interfere with epithelial repair and mucosal regeneration, leading to delayed wound healing. Technical limitations in dynamic metabolic monitoring and sampling precision hinder the accurate assessment of local nasal metabolism. Furthermore, current animal models, which predominantly rely on acute stimulation protocols, inadequately recapitulate the chronic tissue remodeling processes characteristic of human rhinitis.This review systematically summarizes glycolysis as a common metabolic node shared by different rhinitis subtypes, offering a novel theoretical basis for the development of precision therapeutic strategies targeting metabolic reprogramming.
2.The Pathogenesis and Therapeutic Strategies of Nasal Inflammatory Diseases From The Perspective of Glycolytic Metabolic Reprogramming
Meng-Wei LI ; Ji-Tang CAI ; Jun-Jie WANG ; Yi-Bo CAI ; Meng-Ting TAN
Progress in Biochemistry and Biophysics 2026;53(5):1333-1355
Aberrant activation of glycolysis represents a key metabolic mechanism underlying the initiation and progression of nasal inflammation. Allergic rhinitis, chronic rhinosinusitis, and vasomotor rhinitis exhibit distinct etiologies, yet all are characterized by inflammatory responses, impaired epithelial barrier function, and neurovascular dysregulation, in which glycolytic metabolic reprogramming acts as a central hub connecting immunometabolism and inflammatory regulation.Recent evidence indicates that glycolysis-dependent activation of immune cells provides the essential energy basis for inflammatory onset. In dendritic cells, eosinophils, mast cells, and Th2 cells, the expression of key glycolytic enzymes including HK2, PKM2, and LDHA is upregulated, thereby promoting cellular activation and proinflammatory cytokine release via the mTOR-HIF-1α signaling axis. Notably, the metabolic reprogramming of eosinophils prolongs their survival and enhances the release of cytotoxic granules, while in mast cells, enhanced glycolysis facilitates IgE-mediated degranulation and histamine release. Furthermore, glycolysis also influences the Th17/Treg balance, with enhanced glycolytic flux promoting Th17 differentiation and contributing to the heterogeneous inflammatory profiles observed across different rhinitis subtypes.As a central metabolite, lactate contributes to the formation of a metabolism-inflammation vicious cycle through multiple mechanisms. Lactate acidifies the local microenvironment to activate TRPV1 channels and facilitate neuropeptide release, mediates immune cell chemotaxis through GPR81, and regulates gene expression via histone lactylation, thereby sustaining proinflammatory gene transcription. These lactate-mediated processes collectively amplify local inflammation and contribute to the persistence of nasal symptoms.Glycolytic reprogramming in epithelial cells is modulated by the EGF/EGFR pathway, and its dysregulation may result in disrupted tight junctions, abnormal goblet cell hyperplasia, and subsequent tissue remodeling. Substance P and calcitonin gene-related peptide released from sensory neurons, in conjunction with metabolic products, synergistically maintain persistent inflammatory stimulation by activating mast cells, forming a neuro-immune-metabolic regulatory network that drives disease chronicity.From a therapeutic perspective, glycolytic inhibitors such as 2-deoxyglucose, FX11, and 3-bromopyruvate exert anti-inflammatory effects by targeting key enzymes including HK2 and LDHA, each with distinct mechanisms: 2-DG competitively inhibits hexokinase, FX11 selectively targets LDHA to reduce lactate production, and 3-BrPA modulates multiple glycolytic enzymes. Moreover, traditional Chinese medicine formulas, monomeric active components, and small-molecule compounds have shown promising potential in alleviating nasal inflammation by regulating the mTOR-HIF-1α axis, exerting antioxidant effects, and modulating endoplasmic reticulum stress pathways. The multi-target characteristics of these natural products offer advantages in addressing the complex pathophysiology of nasal inflammatory diseases.Despite these advances, several challenges remain. The non-selective inhibition of glycolysis may interfere with epithelial repair and mucosal regeneration, leading to delayed wound healing. Technical limitations in dynamic metabolic monitoring and sampling precision hinder the accurate assessment of local nasal metabolism. Furthermore, current animal models, which predominantly rely on acute stimulation protocols, inadequately recapitulate the chronic tissue remodeling processes characteristic of human rhinitis.This review systematically summarizes glycolysis as a common metabolic node shared by different rhinitis subtypes, offering a novel theoretical basis for the development of precision therapeutic strategies targeting metabolic reprogramming.
3.A Comparative Study of Artificial Intelligence-based Classification Versus Manual Classification of Medical Adverse Events: Taking the DeepSeek Large Language Model As an Example
Rui WANG ; Xutong TAN ; Congpu ZHAO ; Shuchang WANG ; Zheng CHEN ; Xiaojun MA ; Zhiling CAI
Medical Journal of Peking Union Medical College Hospital 2026;17(3):828-833
To analyze the application value of artificial intelligence (AI)-based classification in the categorization of medical adverse events. Medical adverse events reported to the Adverse Event Reporting System of Peking Union Medical College Hospital from September 1, 2023, to August 31, 2024, were retrospectively collected as the study subjects. After de-identification of adverse events meeting the inclusion criteria, conventional manual classification and AI-based classification using a large language model (DeepSeek-R1 Full-Context Internet Edition) were performed. The time required for classification using both methods was recorded, and the consistency and discrepancies between the two methods were compared. Using manual classification as the gold standard, the accuracy of AI-based classification was comprehensively evaluated. A total of 273 medical adverse events were analyzed. Manual classification took 38 838 seconds in total, with an average of 14.22 seconds per event. AI-based classification took 600 seconds in total, with an average of 2.19 seconds per event. The two methods showed consistent classification in 202 events and inconsistent classification in 71 events, yielding an overall agreement rate of 73.99% and a Kappa coefficient of 0.646 (95% CI: 0.575-0.717), with a standard error of 0.0362. Using manual classification as the gold standard, AI-based classification achieved accuracy ranging from 80% to 100%, precision from 30% to 100%, recall from 40% to 100%, F1 scores from 0.46 to 0.79, and specificity from 46% to 98%. Notably, AI-based classification demonstrated balanced and overall excellent performance in the categorization of device-related and drug-related adverse events. The DeepSeek large language model can assist in improving the efficiency of medical adverse event classification, showing promising application potential, particularly in the categorization of device-related and drug-related adverse events.
4.Wuzhi Wuyang——Traditional Chinese Medicine Prevention and Treatment of Malignant Tumor
Baojin HAN ; Ying TAN ; Ruijuan CAI ; Qiyuan MAO ; Chuchu ZHANG ; Yiwei ZHONG ; Hongsheng LIN
Cancer Research on Prevention and Treatment 2025;52(2):93-97
In response to the clinical needs of cancer treatment and rehabilitation, Professor Lin Hongsheng proposed the Wuzhi Wuyang (five treatments and rehabilitation) concept on the basis of years of clinical experience and the Guben Qingyuan (consolidate the foundation and clear the source) theory. Wuzhi Wuyang emphasizes the importance of treatment and rehabilitation and aims to provide personalized and stage-specific treatment and rehabilitation plans by integrating the advantages of traditional Chinese medicine (TCM) and modern medicine to achieve comprehensive life-cycle management for patients with cancer. The proposal of Wuzhi Wuyang has provided new ideas and methods for the treatment, prevention, and rehabilitation of cancer, along with valuable references for clinical practice and academic research. This article summarizes the connotation of Wuzhi Wuyang and its application in the comprehensive management of cancer prevention and treatment with TCM.
5.Textual Research on Key Information of Famous Classical Formula Jiegengtang
Yang LEI ; Yuli LI ; Xiaoming XIE ; Zhen LIU ; Shanghua ZHANG ; Tieru CAI ; Ying TAN ; Weiqiang ZHOU ; Zhaoxu YI ; Yun TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):182-190
Jiegengtang is a basic formula for treating sore throat and cough. By means of bibliometrics, this study conducted a textual research and analysis on the key information such as formula origin, decocting methods, and clinical application of Jiegengtang. After the research, it can be seen that Jiegengtang is firstly contained in Treatise on Febrile and Miscellaneous Disease, which is also known as Ganjietang, and it has been inherited and innovated by medical practitioners of various dynasties in later times. The origins of Chinese medicines in this formula is basically clear, Jiegeng is the dried roots of Platycodon grandiflorum, Gancao is the dried roots and rhizomes of Glycyrrhiza uralensis, the two medicines are selected raw products. The dosage is 27.60 g of Glycyrrhizae Radix et Rhizoma and 13.80 g of Platycodonis Radix, decocted with 600 mL of water to 200 mL, taken warmly after meals, twice a day, 100 mL for each time. In ancient times, Jiegengtang was mainly used for treating Shaoyin-heat invasion syndrome, with cough and sore throat as its core symptoms. In modern clinical practice, Jiegengtang is mainly used for respiratory diseases such as pharyngitis, esophagitis, tonsillitis and lung abscess, especially for pharyngitis and lung abscess with remarkable efficacy. This paper can provide literature reference basis for the modern clinical application and new drug development of Jiegengtang.
6.Analysis of latent profiles and influencing factors of sleep in first-trimester pregnant women
Siqi LIU ; Shu CAI ; Yunfang LIANG ; Yingyao TAN
Sichuan Mental Health 2025;38(1):46-52
BackgroundSleep disorder in the first trimester is a fairly common health problem, and previous studies have mainly reflected the overall sleep quality through scale assessments, which may not accurately capture the differences among various subtypes. ObjectiveTo explore the latent profiles of sleep quality in first-trimester pregnant women and identify the physiological, psychological and social factors, in order to provide practical references for the development of personalized interventions for sleep disorders in first-trimester pregnant women. MethodsA total of 1 066 first-trimester pregnant women who visited the obstetric outpatient clinic of a tertiary A hospital in Shenzhen from October 2021 to October 2022 were investigated using the general information questionnaire, Pittsburgh Sleep Quality Index (PSQI), Edinburgh Postnatal Depression Scale (EPDS), Chinese version of short International Physical Activity Questionnaire (IPAQ-S-C) and Social Capital Assessment Tool in Pregnancy for Maternal Health (SCAT-MH). Then the sleep profiles were identified through latent profile analysis, and the robust mixture regression model was employed to determine the influencing factors of sleep profiles. ResultsA 3-profile solution showed the best fit: 732 cases (68.67%) of good sleep quality group, 87 cases (8.16%) of low sleep efficiency group, and 247 cases (23.17%) of daytime dysfunction group. In comparison with subjects in good sleep quality group, first-trimester pregnant women in low sleep efficiency group were at a younger age (OR=0.951, 95% CI: 0.922~0.980), held a Bachelor's degree or above (OR=1.869, 95% CI: 1.260~2.773) and exhibited lower levels of social capital (OR=0.962, 95% CI: 0.951~0.973), while those in daytime dysfunction group were at an older age (OR=1.072, 95% CI: 1.027~1.120) and had higher levels of depression (OR=1.166, 95% CI: 1.115~1.218). Pregnant women who were workers (OR=0.507, 95% CI: 0.293~0.876) were less likely to report daytime dysfunction. ConclusionThree latent profiles with significant heterogeneity are derived from the sleep quality of first-trimester pregnant women, and levels of depression and social capital are the main influencing factors of sleep quality. [Funded by Industry-University-Research Innovation Fund for Chinese Universities (number, 2023HT018)]
7.Textual Research on Key Information of Famous Classical Formula Jiegengtang
Yang LEI ; Yuli LI ; Xiaoming XIE ; Zhen LIU ; Shanghua ZHANG ; Tieru CAI ; Ying TAN ; Weiqiang ZHOU ; Zhaoxu YI ; Yun TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):182-190
Jiegengtang is a basic formula for treating sore throat and cough. By means of bibliometrics, this study conducted a textual research and analysis on the key information such as formula origin, decocting methods, and clinical application of Jiegengtang. After the research, it can be seen that Jiegengtang is firstly contained in Treatise on Febrile and Miscellaneous Disease, which is also known as Ganjietang, and it has been inherited and innovated by medical practitioners of various dynasties in later times. The origins of Chinese medicines in this formula is basically clear, Jiegeng is the dried roots of Platycodon grandiflorum, Gancao is the dried roots and rhizomes of Glycyrrhiza uralensis, the two medicines are selected raw products. The dosage is 27.60 g of Glycyrrhizae Radix et Rhizoma and 13.80 g of Platycodonis Radix, decocted with 600 mL of water to 200 mL, taken warmly after meals, twice a day, 100 mL for each time. In ancient times, Jiegengtang was mainly used for treating Shaoyin-heat invasion syndrome, with cough and sore throat as its core symptoms. In modern clinical practice, Jiegengtang is mainly used for respiratory diseases such as pharyngitis, esophagitis, tonsillitis and lung abscess, especially for pharyngitis and lung abscess with remarkable efficacy. This paper can provide literature reference basis for the modern clinical application and new drug development of Jiegengtang.
8.Chinese expert consensus on postoperative follow-up for non-small cell lung cancer (version 2025)
Lunxu LIU ; Shugeng GAO ; Jianxing HE ; Jian HU ; Di GE ; Hecheng LI ; Mingqiang KANG ; Fengwei TAN ; Fan YANG ; Qiang PU ; Kaican CAI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(03):281-290
Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.
9.Determination of docusate sodium by ion-pair high-performance liquid chromatography
Lirong CAI ; Haiping SHU ; Sha XIAO ; Yue TAN ; Jinfeng ZHENG ; Changliang LI ; Yanming LIU
Journal of China Pharmaceutical University 2025;56(2):183-187
To reduce the dependency on high-carbon-load chromatographic columns,a new method has been established for the determination of the content of docusate sodium using ion-pair high-performance liquid chromatography(IP-HPLC).Tetrapropylammonium chloride was used as the ion-pair reagent with a mobile phase,composition of acetonitrile:10 mmol/L tetrapropylammonium chloride solution=66∶34,adjusting pH to 6.5 with 0.1%phosphoric acid solution,flow rate of 1.5 mL/min,detection wavelength of 214 nm,column temperature of 35℃,and an injection volume of 25 μL,and quantified by an external standard method.The main peak of docusate sodium exhibited a tailing factor of 1.34.The method showed good linearity within the range of 0.02 mg/mL to 0.40 mg/mL,with a correlation coefficient(r)of 0.999 9.It also demonstrated good repeatability,with recovery ranging from 97.0%to 98.2%(n=6).The quantification limit was 3.31 μg/mL,and the detection limit was 2.76 μg/mL.In summary,the new method shows good durability,a wide linear range,and high sensitivity,it is suitable for the determination of docusate sodium.
10.Application of NeoVI-RADS scoring in patients with bladder cancer undergoing neoadjuvant therapy
Lingkai CAI ; Xiao YANG ; Zhengye TAN ; Rongjie BAI ; Chenghao WANG ; Chang CHEN ; Qikai WU ; Hao YU ; Chenjiang WU ; Qiang LYU ; Qiang CAO
Chinese Journal of Surgery 2025;63(12):1111-1117
Objective:To evaluate the utility of neoadjuvant vesical imaging-reporting and data system (NeoVI-RADS) in predicting tumor residuals and diagnosing muscle-invasive bladder cancer (MIBC) in patients undergoing neoadjuvant therapy, as well as its application in prognostic stratification.Methods:A retrospective case series analysis was conducted on the clinical data of 91 patients with bladder cancer who received neoadjuvant therapy at the Department of Urology, First Affiliated Hospital of Nanjing Medical University from July 2014 to June 2024. There were 84 male cases and 7 female cases, with an age of (66±9) years (range:45 to 85 years). The clinical staging of the patients was ≥T2 based on imaging. All of them underwent three or more cycles of neoadjuvant therapy, and had post-treatment multiparametric MRI (mp-MRI) evaluation. Based on the results of mp-MRI, the NeoVI-RADS was established and employed to assess tumor residuals and muscle invasion. The receiver operating characteristic curve was plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves based on overall survival (OS) and cancer-specific survival (CSS) were plotted, and the Log-rank test was used for survival analysis comparison between groups.Results:In the neoadjuvant treatment cohort, the AUC for predicting tumor residuals post-neoadjuvant therapy using NeoVI-RADS was 0.900, with an accuracy of 93.4%, sensitivity of 95.8%, and a specificity of 85.0%. The NeoVI-RADS demonstrated strong diagnostic performance for MIBC, achieving an AUC of 0.900. At a NeoVI-RADS score cutoff of 4, the accuracy was 84.5%, with a sensitivity of 87.5% and a specificity of 72.9%. Additionally, compared to patients with NeoVI-RADS scores of 0 (5-year OS and CSS rates both 100%) or scores of 1 to 3 (5-year OS and CSS rates both 90.9%), patients with scores of 4 to 5 had significantly worse OS (5-year rate 63.0%) and CSS (5-year rate 66.3%) (all P<0.05). There was no statistically significant difference in OS or CSS between patients with NeoVI-RADS scores of 0 and those with scores of 1 to 3 (all P>0.05). Conclusion:NeoVI-RADS demonstrates significant diagnostic and prognostic value in the context of neoadjuvant treatment for bladder cancer, effectively assessing tumor residuals and muscle invasion, thereby enhancing patient management and facilitating personalized treatment approaches.

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