1.Screening of Antidepressant Active Components from Curcumae Rhizoma and Its Mechanism in Regulating Nrf2/GPX4/GSH Pathway
Yonggui SONG ; Delin DUAN ; Meixizi LAI ; Yali LIU ; Zhifu AI ; Genhua ZHU ; Huanhua XU ; Qin ZHENG ; Ming YANG ; Dan SU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(6):211-221
ObjectiveTo screen and evaluate the antidepressant compounds of Curcumae Rhizoma, and explore its mechanism of regulating the nuclear factor erythroid 2-related factor 2(Nrf2)/glutathione(GSH) peroxidase 4(GPX4)/GSH pathway from an antioxidant perspective. MethodsThe antioxidant activities in vitro of 11 characteristic components from Curcumae Rhizoma, including curcumol, curgerenone, curdione, curzerene, curcumenol, curcumenone, dehydrocurdione, isocurcumenol, furanodienone, furanodiene and zederone, were detected using 1,1-diphenyl-2-picrylhydrazyl(DPPH) and 2,2'-azinobis-(3-ethylbenzothiazoline-6-sulphonic acid) diammonium salt(ABTS) radical scavenging assays. The depression in Drosophila melanogaster was induced by chronic unpredictable mild stress(CUMS), and W1118 wild-type male D. melanogaster were randomly divided into blank group, model group, curcumol group, curgerenone group, curdione group, curzerene group, curcumenol group,curcumenone group, dehydrocurdione group, isocurcumenol group, furanodienone group, furanodiene group, zederone group and fluoxetine group(10 μmol·L-1). The treatment groups received a dose of 0.1 g·L-1 of 11 characteristic components from Curcumae Rhizoma, while the blank and model groups were administered equivalent volumes of solvent. The sucrose preference test, climbing test and forced swimming test were used to evaluate the behavioral indicators of depression in D. melanogaster. Liquid chromatography-mass spectrometry(LC-MS) was used to detect the levels of 5-hydroxytryptamine(5-HT) and dopamine(DA) in the brain of D. melanogaster, and the entropy weight method was used to comprehensively evaluate neurobehavioral and neurotransmitter indicators, resulting in the identification of the antidepressant active components of Curcumae Rhizoma. In addition, a mouse depression model was established by CUMS, and C57BL/6J mice were randomly divided into blank group, model group, low and high dose groups of curzerene(0.5, 1 mg·kg-1), and fluoxetine group(10 mg·kg-1) to confirm the antidepressant effect of the optimal active ingredient by behavioral analysis. Flow cytometry was used to detect the content of reactive oxygen species(ROS) in the hippocampus of mice from each group. Enzyme-linked immunosorbent assay was used to detect the contents of adenosine triphosphate(ATP), superoxide dismutase(SOD), catalase(CAT) and GSH. Transmission electron microscope(TEM) was used to observe the effect of curzerene on the ultrastructure of mitochondria in hippocampal tissue. Western blot was performed to determine the level of Nrf2 protein, and Nrf2 inhibitor(ML385) was used to verify the relationship between the antidepressant effect of curzerene and regulation of Nrf2. Real time fluorescence quantitative polymerase chain reaction(Real-time PCR) was employed to detect the effect of curzerene on the mRNA expression level of GPX. ResultsIn vitro antioxidant experiments showed that curzerene and curgerenone exhibited the most significant ability to scavenge free radicals, and comprehensive evaluation results of entropy weight method indicated that curzerene stood out as the most promising active component. Compared with the blank group, the model group exhibited a significant decrease in sucrose preference coefficient and the number of times entering the open field center(P<0.01), as well as a significant increase in immobility time in the forced swimming and tail suspension tests(P<0.01), and the ROS content in hippocampus significantly elevated(P<0.01), while the ATP content significantly reduced(P<0.01). In the hippocampal neurons of the model group, mitochondrial cristae were disordered, with vacuolation of the inner membrane and severe damage. Nrf2 protein expression level in the model group was significantly decreased(P<0.05), and the antioxidant enzymes SOD, CAT and GSH contents were also significantly reduced(P<0.05, P<0.01), and the gene expression levels of GPX1, GPX4 and GPX7 were significantly decreased(P<0.01). Compared with the model group, the high-dose group of curzerene showed a significant increase in the sucrose preference coefficient and the number of times entering the open field center(P<0.05), as well as a significant decrease in immobility time in the forced swimming and tail suspension tests(P<0.05, P<0.01). The ROS content in the hippocampus of the high-dose group of curzerene was significantly reduced(P<0.01), while the ATP content was significantly increased(P<0.05). The neuronal mitochondrial damage in the hippocampus of the high-dose group of curzerene was alleviated, and the expression level of Nrf2 protein was significantly increased(P<0.05). The Nrf2 inhibitor ML385 reversed the improvement of curzerene on depressive behaviors in CUMS mice. The GSH content in the hippocampal neurons of the high-dose group of curzerene was significantly increased(P<0.01), while there were no significant differences in SOD and CAT contents. The expression level of GPX4 gene in the hippocampal neurons of the high-dose group of curzerene was significantly increased(P<0.05), while there were no significant differences in other GPX genes. ConclusionCurzerene is the best component with antidepressant activity in Curcumae Rhizoma. It may improve mitochondrial dysfunction to exert its antidepressant effect by regulating Nrf2 and its downstream GPX4/GSH pathway rather than CAT or SOD pathways.
2.Prediction of duloxetine blood concentration in patients with depression based on machine learning
Ming QIAO ; Lu JIN ; Yi ZHU ; Junping HU
China Pharmacy 2025;36(6):752-757
OBJECTIVE To provide medication reference for duloxetine use in clinical settings, particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set (196 cases) and test set (85 cases) in the ratio of 7∶3. Feature selection was performed by encapsulating random forests (RF) with recursive feature elimination. Four machine learning algorithms, namely support vector machine, RF, extreme gradient boosting (XGBoost) and artificial neural network, were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination (R2), mean absolute error (MAE) and root mean squared error (RMSE). The feature of the selected optimal model was explained by Shapley additive explanation method, and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected, including age, ethnicity, body mass index(BMI), etc. XGBoost showed the highest R2 (0.808), and the lowest MAE (7.644) and RMSE (10.808). The ranking of feature importance for predicting the blood concentration of duloxetine was as follows: BMI>age>other 20 feature sets (including liver and kidney function and biochemical indicators)>daily dosage>comorbidities>combination therapy>ethnicity>white blood cell count>hemoglobin>height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration; BMI and age have a greater impact on the prediction of duloxetine blood concentration.
3.Mechanism of in Vitro and in vivo Models of Osteoporosis Regulation by Active Ingredients of Traditional Chinese Medicine: A Review
Ming YANG ; Jinji WANG ; Xuefeng ZHUANG ; Xiaolei FANG ; Zhijie ZHU ; Huiwei BAO ; Lijing LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(3):281-289
Osteoporosis is a common bone disease, whose incidence is still on the rise, posing great challenges to patients and society. This review mainly studies the pathogenesis of osteoporosis from the aspects of oxidative stress, inflammatory response, and glucolipotoxicity-induced injury and clarifies the efficacy and mechanism of some active ingredients of traditional Chinese medicine against osteoporosis through the integration of in vitro and in vivo experiments. The experimental results suggest that some active ingredients can improve bone resorption markers and maintain bone homeostasis by modulating inflammation, oxidative stress, etc. These active ingredients regulate osteoporosis through the receptor activator of nuclear transcription factor-κB (NF-κB) ligand (RANKL) pathway, osteoprotegerin (OPG) pathway, Wnt/β-catenin pathway, NF-κB pathway, mitogen-activated protein kinase (MAPK) pathway, adenosine monophosphate (AMP)-activated protein kinase (AMPK)/mammalian target of rapamycin (mTOR) pathway, and oxidative stress pathway. This review provides ideas for the progress of the prevention and treatment of osteoporosis with the active ingredients of traditional Chinese medicine, aiming to provide new potential lead compounds and reference for the development of innovative drugs and clinical therapy for the treatment of osteoporosis.
4.Therapeutic effect of anti-PD-L1&CXCR4 bispecific nanobody combined with gemcitabine in synergy with PBMC on pancreatic cancer treatment
Hai HU ; Shu-yi XU ; Yue-jiang ZHENG ; Jian-wei ZHU ; Ming-yuan WU
Acta Pharmaceutica Sinica 2025;60(2):388-396
Pancreatic cancer is a kind of highly malignant tumor with a low survival rate and poor prognosis. The effectiveness of gemcitabine as a first-line chemotherapy drug is limited; however, it can activate dendritic cells and improve antigen presentation which increase the sensitivity of tumor cell to immunotherapy. Although immunotherapy has made some advancements in cancer treatment, the therapeutic benefit of programmed cell death receptor 1/programmed death receptor-ligand 1 (PD-1/PD-L1) blockade therapy remains relatively low. The chemokine C-X-C chemokine ligand 12 (CXCL12) contributes to an immunosuppressive tumor microenvironment by recruiting immunosuppressive cells. The receptor C-X-C motif chemokine receptor 4 (CXCR4), highly expressed in various tumors including pancreatic cancer, plays a crucial role in tumor development and progression. In this study, the anti-tumor immune response of human peripheral blood mononuclear cell (hPBMC) was enhanced using the combination of BsNb PX4 (anti-PD-L1&CXCR4 bispecific nanobody) and gemcitabine. In a co-culture system of gemcitabine-pretreated hPBMCs with tumor cells, the BsNb PX4 synergized gemcitabine to improve the cytotoxic activity of hPBMCs against tumor cells. Flow cytometry analysis confirmed increased ratio of CD8+ to CD4+ T cells in combination treatment. In NOD/SCID mice bearing pancreatic cancer, the combination treatment exhibited more infiltration of CD8+ T cells into tumor tissues, contributing to an effective anti-tumor response. This study presents potential new therapies for the treatment of pancreatic cancer. Ethical approval was obtained for collection of hPBMC samples from the Local Ethics Committee of Shanghai Jiao Tong University. All animal experiments were approved by the Animal Ethic Committee of Shanghai Jiao Tong University (authorizing number: A2024246).
5.Structural and Spatial Analysis of The Recognition Relationship Between Influenza A Virus Neuraminidase Antigenic Epitopes and Antibodies
Zheng ZHU ; Zheng-Shan CHEN ; Guan-Ying ZHANG ; Ting FANG ; Pu FAN ; Lei BI ; Yue CUI ; Ze-Ya LI ; Chun-Yi SU ; Xiang-Yang CHI ; Chang-Ming YU
Progress in Biochemistry and Biophysics 2025;52(4):957-969
ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.
6.Effect of Different Fermentation Conditions on Fungal Community and Chemical Composition of Aurantii Fructus
Zhihong YAN ; Xiumei LIU ; Qiuyan GUAN ; Yonggui SONG ; Zhifu AI ; Genhua ZHU ; Yuhui PING ; Ming YANG ; Qin ZHENG ; Huanhua XU ; Dan SU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):254-262
ObjectiveTo investigate the effects of different fermentation methods and times on the fungal flora and chemical composition of Aurantii Fructus, in order to obtain the optimal fermentation conditions and flora structure, and to ensure the stability and controllability of the fermented varieties. MethodsScanning electron microscopy was used to observe and analyze the colony characteristics on the surface of Aurantii Fructus under different fermentation conditions. Internal transcribed spacer 2(ITS2) high-throughput sequencing, combined with fungal community diversity analysis and fungal community structure analysis, were used to obtain the fungal flora microbial categories of Aurantii Fructus under the conditions of traditional pressure-shelf fermentation and non-pressure-shelf natural fermentation for 7, 14, 21 d(numbered Y1-Y3 for the former, and numbered F1-F3 for the latter), respectively. At the same time, the chemical components in the fermentation process were detected by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS), combined with principal component analysis(PCA), partial least squares-discriminant analysis(PLS-DA) and compound retention time, parent ions, characteristic fragment ions and other information, the differential compounds between the different fermentation samples were screened and identified. ResultsThe analysis of fungal community diversity showed that the dominant flora did not change at different fermentation time points in the traditional pressure-shelf fermentation method, while in the non-pressure-shelf natural fermentation method, there was a significant difference with the fermentation process, and at the genus level, the dominant genus of samples Y1, Y2, Y3 and F2 was Aspergillus, while the dominant genera of samples F1 and F3 were both Rhizopus. This indicated that the microbial growth environment provided by the traditional fermentation method was more stable, and the microbial community structure was more stable, which was more conducive to the stable and controllable fermentation process and fermented products. A total of 155 compounds were identified by compositional analysis, including 70 flavonoids, 38 coumarins, 10 alkaloids, 34 organic acids and 3 other compounds. After fermentation, two new components of ribalinine and pranferin were produced. Different fermentation conditions also brought about differences in chemical composition, multivariate statistical analysis obtained 26 differential compounds under two different fermentation methods, mainly including flavonoids, organic acids and coumarins. Comprehensively, the microbial community structure of samples fermented by the traditional pressure-shelf method of Aurantii Fructus for 14 d was stable, the species richness was high and the overall content of differential compounds was high, which was the optimal processing condition. ConclusionCompared with non-pressure-shelf natural fermentation, the traditional method has obvious advantages in terms of the stability of the microbial community structure and the content of chemical compounds, and the optimal condition is 14 days of fermentation. This study is helpful to promote the quality stability and fermentation bioavailability of fermented products of Aurantii Fructus, as well as to provide an experimental basis for the further improvement of the quality control methods of this variety.
7.Effect of Different Fermentation Conditions on Fungal Community and Chemical Composition of Aurantii Fructus
Zhihong YAN ; Xiumei LIU ; Qiuyan GUAN ; Yonggui SONG ; Zhifu AI ; Genhua ZHU ; Yuhui PING ; Ming YANG ; Qin ZHENG ; Huanhua XU ; Dan SU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):254-262
ObjectiveTo investigate the effects of different fermentation methods and times on the fungal flora and chemical composition of Aurantii Fructus, in order to obtain the optimal fermentation conditions and flora structure, and to ensure the stability and controllability of the fermented varieties. MethodsScanning electron microscopy was used to observe and analyze the colony characteristics on the surface of Aurantii Fructus under different fermentation conditions. Internal transcribed spacer 2(ITS2) high-throughput sequencing, combined with fungal community diversity analysis and fungal community structure analysis, were used to obtain the fungal flora microbial categories of Aurantii Fructus under the conditions of traditional pressure-shelf fermentation and non-pressure-shelf natural fermentation for 7, 14, 21 d(numbered Y1-Y3 for the former, and numbered F1-F3 for the latter), respectively. At the same time, the chemical components in the fermentation process were detected by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS), combined with principal component analysis(PCA), partial least squares-discriminant analysis(PLS-DA) and compound retention time, parent ions, characteristic fragment ions and other information, the differential compounds between the different fermentation samples were screened and identified. ResultsThe analysis of fungal community diversity showed that the dominant flora did not change at different fermentation time points in the traditional pressure-shelf fermentation method, while in the non-pressure-shelf natural fermentation method, there was a significant difference with the fermentation process, and at the genus level, the dominant genus of samples Y1, Y2, Y3 and F2 was Aspergillus, while the dominant genera of samples F1 and F3 were both Rhizopus. This indicated that the microbial growth environment provided by the traditional fermentation method was more stable, and the microbial community structure was more stable, which was more conducive to the stable and controllable fermentation process and fermented products. A total of 155 compounds were identified by compositional analysis, including 70 flavonoids, 38 coumarins, 10 alkaloids, 34 organic acids and 3 other compounds. After fermentation, two new components of ribalinine and pranferin were produced. Different fermentation conditions also brought about differences in chemical composition, multivariate statistical analysis obtained 26 differential compounds under two different fermentation methods, mainly including flavonoids, organic acids and coumarins. Comprehensively, the microbial community structure of samples fermented by the traditional pressure-shelf method of Aurantii Fructus for 14 d was stable, the species richness was high and the overall content of differential compounds was high, which was the optimal processing condition. ConclusionCompared with non-pressure-shelf natural fermentation, the traditional method has obvious advantages in terms of the stability of the microbial community structure and the content of chemical compounds, and the optimal condition is 14 days of fermentation. This study is helpful to promote the quality stability and fermentation bioavailability of fermented products of Aurantii Fructus, as well as to provide an experimental basis for the further improvement of the quality control methods of this variety.
8.The efficacy of Turem in the treatment of chronic shoulder pain syndrome
Wu Ji Ming Zhu ; Munkhchimeg O ; Lagshmaa B ; Alimaa T
Mongolian Journal of Health Sciences 2025;85(1):79-84
Background:
When the incidence of the chronic shoulder pain syndrome is increasing year by year, it is necessary to
determine the effects of pain relief, recovery of joint disability, and impact on quality of life through clinical trial research
when calculating the results of Turem treatment, which is one of the main methods of traditional medical treatment.
Aim:
To study the effects of traditional medicine chiropractic on pain relief, mobility improvement, joint function recovery, and quality of life in chronic shoulder pain syndrome.
Materials and Methods:
The study was conducted using a single-blind, randomized controlled clinical trial (RCT) design. In the study, 60 clients were randomly selected from people suffering from of the shoulder joint pain, and group 1
received Turem treatment together with physical therapy, and group 2 received physical therapy. The results of the study
were evaluated by shoulder pain (VAS score), muscle strength, range of motion of the shoulder joint with a goniometer,
and the Disability of Arms, Shoulders, and Paws Questionnaire (DASH). The research was conducted in accordance with
the appropriate ethical approvals (No. 2024/3-05), (No. 2024-18) and confirmed by an informed consent form. Clinical
trial research results were processed using T-test, Independent T-test, repeated ANOWA test.
Results:
The average age of the participants in the study was 56.13±7.13 years in the treatment group and 53.87±8.05
years in the control group, and 55% were male and 45% female. When shoulder joint pain was evaluated by VAS assessment, the values before and after treatment and after 1 month of treatment in the turem treatment group and the control
group decreased statistically significantly (p=0.000). There was a statistical difference between the results of the 2 study
groups. When assessing muscle strength, no statistically significant difference was observed between the results of the
turem treatment and control groups. When measuring the amplitude of the shoulder joint in the subjects, the amplitude of
shoulder extension, abduction, external rotation, and inward rotation increased after the treatment, and compared to the
two groups, the index of the turem treatment group increased with statistical significance (p=0.000). When assessed by
the Hand, Shoulder, and Hand Dysfunction Questionnaire (DASH), the score of the questionnaire decreased significantly
(p=0.000) before, after, and after 1 month of treatment in the turem treatment group and the control group. Turem treatment has been shown to reduce the rate of shoulder disability and improve function in chronic shoulder pain syndrome.
Conclusion: Turem treatment for chronic shoulder pain syndrome can reduce shoulder pain, increase joint range, and
improve muscle strength. Also, turem treatment reduced the rate of shoulder disability and improved function.
Conclusion
Turem treatment for chronic shoulder pain syndrome can reduce shoulder pain, increase joint range, and
improve muscle strength. Also, turem treatment reduced the rate of shoulder disability and improved function.
9.Efficacy and safety of robot-assisted modified Y-shaped ileal orthotopic neobladder reconstruction
Tonglei ZHAO ; Weipu MAO ; Yiduo WANG ; Bin XU ; Shuqiu CHEN ; Weidong ZHU ; Ming CHEN ; Jianping WU
Journal of Modern Urology 2025;30(2):137-142
Objective: To investigate the efficacy and safety of robot-assisted modified Y-shaped ileal orthotopic neobladder reconstruction,so as to provide reference for clinical practice. Methods: The clinical data of 44 patients who underwent robot-assisted laparoscopic radical cystectomy,lymph node dissection,and modified Y-shaped ileal orthotopic neobladder reconstruction during Feb.2020 and Aug.2022 were retrospectively analyzed.The surgical position,Trocar position,and key surgical steps were reported.The perioperative conditions,postoperative complications,neobladder volume,maximum urinary flow rate,postvoid residual,renal function,and urinary control function were recorded. Results: All 44 surgeries were successfully completed,with operation time of (314.32±51.02) min,modified Y-shaped ileal orthotopic neobladder reconstruction time of (103.52±9.56) min,and bleeding volume of (128.18±57.27) mL.The postoperative time for fluid intake was (4.16±0.86) days,catheter indwelling time was (14.02±3.20) days,and patients were discharged 1 to 2 days after catheter removal.Clavien-Dindo grade Ⅱ and Ⅲ complications occurred in 15 and 2 patients,respectively.During the follow-up of (20.77±5.90) months,dysuria occurred in 1 case,urethral calculi in 2 cases,and incomplete bowel obstruction in 2 cases. The postoperative neobladder capacity was (195.75±15.51) mL,maximal urinary flow rate (20.30±2.05) mL/s,postvoid residual (19.86±13.80) mL and serum creatinine (81.98±25.97) μmol/L. The incidence of daytime and nocturnal urinary incontinence 3,6 and 12 months after operation were 20.45% and 29.55%,11.36% and 18.18%,and 4.55% and 9.09%,respectively. Conclusion: Robot-assisted modified Y-shaped ileal orthotopic neobladder reconstruction has favorable efficacy and safety,and low incidence of postoperative complications,which can be applied in clinical practice.
10.A Hierarchical Strategy for Differentiation and Treatment of Recurrent Aphthous Oral Ulcers Related to Targeted Therapy for Lung Cancer Based on Yin Deficiency and Qi Collapse
Luchang CAO ; Guanghui ZHU ; Ruike GAO ; Manman XU ; Xiaoyu ZHU ; Ming LIN ; Ying ZHANG ; Jie LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(18):116-125
Tumor treatment-related adverse reactions are a major focus of clinical concern, among which recurrent aphthous oral ulcers (RAU) associated with targeted therapy for lung cancer (LC) are among the most painful and distressing for patients. Currently, modern medical interventions show limited efficacy, and there is an urgent need for more effective treatment strategies. This study differentiates RAU associated with targeted therapy for LC from chemotherapy-related and ordinary oral ulcers, elucidates the pathophysiological basis of such ulcers, and traces the theoretical origin of "Yin deficiency and Qi collapse". Based on the new system of "five perspectives on diagnosis and treatment" for tumor prevention and treatment, with a focus on the core and symptom perspectives and rooted in the traditional concept of "lung dominating Qi", we innovatively propose the concept of "medicine-induced ulcer" and are the first to introduce the theory of "Yin deficiency and Qi collapse" into the syndrome differentiation and treatment of RAU associated with targeted therapy for LC (i.e., medicine-induced ulcer). We propose that "Yin deficiency and Qi collapse" is the core pathogenesis of medicine-induced ulcers, in which the collapse of formless Qi is the key to their onset, while the deficiency and stasis of tangible Yin and blood constitute the root of recurrence. A hierarchical strategy for syndrome differentiation and treatment is established: first treating the collapse of formless Qi, then replenishing tangible deficiencies, and concurrently preventing recurrence. We emphasize that treatment should address both root and manifestation, with appropriate prioritization. In the acute phase, while relieving symptoms and promoting ulcer healing by nourishing Qi, uplifting collapse, and generating body fluids, attention should also be paid to nourishing spleen Yin, facilitating the circulation of nutritive Qi, and alleviating stasis to target the root pathogenesis and reduce recurrence. A verified case is presented to support this approach. This study enriches the theoretical framework and clinical methods of traditional Chinese medicine (TCM) in the treatment of RAU associated with targeted therapy for LC, promotes symptom management of treatment-related adverse reactions through integrated TCM and Western medicine, and provides theoretical support for the construction and development of a comprehensive differentiation and treatment system for lung cancer prevention, treatment, and rehabilitation.

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