1.Study on the effect and mechanism of Qiwei dongqingye powder against bronchial asthma based on transcriptomics
Jiacheng JIN ; Wenyan CHEN ; Xin LI ; Qing XU ; Hangyu WANG ; Ke ZHANG ; Pinghua SUN ; Jinhui WANG
China Pharmacy 2026;37(5):595-601
OBJECTIVE To investigate the therapeutic effect and mechanism of Qiwei dongqingye powder (QDP) on bronchial asthma in mice. METHODS The mice were divided into blank group (normal saline), model group (normal saline), dexamethasone group (2 mg/kg), and QDP low-, medium-, and high-dose groups (200, 400, 800 mg/kg), with 14 mice in each group. Except for the blank group, mice in all other groups were given ovalbumin via intraperitoneal injection followed by aerosol inhalation to induce a bronchial asthma model. During the modeling process, mice in each group were administered corresponding drug solutions or normal saline intragastrically/intraperitoneally. After the last medication, the number of cells in the bronchoalveolar lavage fluid (BALF) of the mice was observed and counted; the pathological changes of the bronchus and lung tissue were observed; the levels of malondialdehyde (MDA), nitric oxide (NO), total superoxide dismutase (T-SOD), and glutathione peroxidase (GSH-Px) in the lung tissue of the mice were determined, and the level of interleukin-17 (IL-17) in the BALF and serum was determined. Transcriptomics was employed to predict and validate the mechanism of action of QDP against bronchial asthma. RESULTS Compared with the model group, the total cell count, neutrophil count, lymphocyte count, and macrophage counts in the BALF of the QDP high-dose group were all significantly reduced ( P <0.05); the levels of MDA and NO in the lung tissue, and the levels of IL-17 in the BALF and serum were all decreased significantly ( P <0.05); the levels of T-SOD and GSH-Px were significantly increased ( P <0.05); the arrangement of lung tissue cells tended to normalize, with reduced infiltration of inflammatory cells and decreased exfoliation of bronchial simple columnar epithelial cells. The transcriptomic results revealed that the differentially expressed genes were B-cell receptor signaling pathway, nuclear factor κB (NF-κB) signaling pathway, ferroptosis signaling pathway, and others. Further validation revealed that, compared with the model group, the expression levels of NF-κB p65 and chemokine ligand 20, as well as the phosphorylation level of NF-κB inhibitor protein α, were significantly decreased in the lung tissues of the mice in all QDP groups ( P <0.05). Conversely, the protein expression of nuclear factor erythroid 2-related factor 2 (Nrf2) and heme oxygenase 1 (HO-1) were significantly increased ( P <0.05). CONCLUSIONS QDP can effectively alleviate bronchial asthma by inhibiting the NF-κB signaling pathway, activating the Nrf2/HO-1 signaling pathway, regulating oxidative stress, and reducing inflammatory responses.
2.Exploring the pathogenesis and treatment methods of irritable bowel syndrome from the
Yan XU ; Fang YANG ; Rongshi SHAO ; Huili SUN ; Juan LI ; Xin CHEN ; Jing HAN
Journal of Beijing University of Traditional Chinese Medicine 2026;49(1):10-15
This article adopts Professor CHEN Chaozu′s " sanjiao composed by membrane-striae" theory as its foundation to explore the relationship between irritable bowel syndrome and functional/structural abnormalities of the membrane-striae. Sanjiao encompasses both the tangible membrane and the intangible striae. These striae permeate the entire body,and their pathological changes comprehensively reflect qi,body fluids,and fasciae. Based on the physiological function of the membrane-striae in regulating qi and fluids,the pathogenesis of irritable bowel syndrome is characterized by a disharmony of membrane-striae and an imbalance of the qi-fluid interactions. In the early stage,external pathogens,emotional factors,or dietary stimuli often cause membrane-striae constriction and disordered qi-fluid circulation. In the middle stage,stagnant fluids gradually transform into phlegm retention,leading to membrane-striae obstruction. In the late stage,deficiency of vital qi becomes predominant,manifesting as laxity of membrane-striae with impaired control or weakened conduction. The treatment of irritable bowel syndrome should adopt " unblocking" as the guiding principle. In the early stage,therapy should focus on eliminating pathogenic factors and soothing membrane-striae to promptly restore qi-fluid circulation,thereby attaining unblocking through spasm relief. In the middle stage,treatment should focus on resolving tangible obstructions in membrane-striae,achieving unblocking via dredging. In the late stage,the emphasis should shift to reinforcing healthy qi,particularly by strengthening spleen-kidney yang qi,and achieving unblocking through supplementation. Concurrently,throughout the entire treatment process,the regulation of mental state and easing of emotional tension should be integrated to alleviate patient′s anxiety,achieving the goal of holistic treatment of both body and mind.
3.A Case of Autologous Reconstruction with TRAM Flap Combined with Contralateral Reduction in Lactational Patient with Breast Cancer and Macromastia
Weifang ZHANG ; Yueyao SUN ; Yanjun LIU ; Yifang WANG ; Xin CHEN ; Jie ZHANG ; Mengyang AN ; Bo LIU ; Fangjian SHANG
Cancer Research on Prevention and Treatment 2026;53(3):233-236
4.Development of A Prognostic Prediction Model for Primary Membranous Nephropathy in the Elderly Based on Machine Learning
Yuzhu XU ; Shuqin LIU ; Dingding WANG ; Wei CHEN ; Xin WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(2):370-381
Elderly patients with primary membranous nephropathy (PMN) exhibit significant prognostic heterogeneity and poor tolerance to immunotherapy. However, there is a lack of early prognostic prediction tools specifically for this population. This study aimed to develop a prognostic prediction model applicable to elderly PMN patients. This study retrospectively included elderly patients with PMN confirmed by renal biopsy. The primary endpoint was a adverse composite outcome including end-stage renal disease (ESRD), a ≥50% decline in estimated glomerular filtration rate (eGFR), or all-cause death. Patients were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3. Key prognostic features were identified using least absolute shrinkage and selection operator (LASSO) regression combined with random survival forest, and a predictive model was constructed based on penalized Cox regression. Model performance was evaluated using the concordance index (C-index), time-dependent area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curve analysis. The SurvSHAP (t) method was employed for interpretability analysis of the model. A total of 309 elderly patients with PMN were included in this study, with a median age of 65.00 years (IQR, 62.00-68.00) and a male predominance 61.2%(189/309).During a median follow-up of 47.00 months (IQR, 25.00-89.00), 38.2%(118/309) reached the endpoint event. The final model included nine key features, including eGFR, total protein (TP), glomerular capsular adhesion, urine glucose, segmental glomerulosclerosis proportion, fibrinogen, urea, age, and activated partial thromboplastin time (APTT). In the validation cohort, the model demonstrated good discrimination, with a C-index of 0.731(95% CI: 0.652-0.797). The time-dependent AUROCs for predicting adverse outcomes at 3, 5, and 10 years were 0.758(95% CI: 0.614-0.901), 0.781(95% CI: 0.646-0.916), and 0.866(95% CI: 0.740-0.993), respectively. Calibration curves demonstrated a high degree of concordance between predicted probabilities and actual event rates. Decision curve analysis confirmed the net clinical benefit of the model.SurvSHAP (t) analysis showed that eGFR, TP, glomerular capsular adhesion, urine glucose, and the proportion of segmental glomerular sclerosis were the top five variables contributing to the model. This prognostic model effectively predicts the risk of adverse outcomes in elderly patients with PMN in the internal validation cohort, offering a potential scientific basis for individualized risk stratification and treatment decision-making in this population.
5.Eculizumab for Refractory Immune Complex-Mediated Glomerulonephritis Following Acute Hepatitis B Infection: A Case Report
Jinyuan LIU ; Dan WANG ; Shuqin LIU ; Wenfang CHEN ; Wei CHEN ; Xin WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(2):389-395
Infection-related glomerulonephritis (IRGN) is an immune-mediated glomerular injury triggered by infectious agents. This article reports a case of immune complex-mediated glomerulonephritis following acute hepatitis B virus infection, which continued to progress despite standard antiviral and immunosuppressive therapy. Given the significant elevation of soluble complement membrane attack complex (sC5b-9), an indicator of terminal complement pathway activation, the patient was treated with eculizumab. Following treatment, the patient's urine protein-to-creatinine ratio significantly decreased, hypoalbuminemia and hematuria markedly improved, and sC5b-9 levels declined. This case suggests that abnormal complement system activation may be a key mechanism driving disease persistence in some patients with IRGN. For those unresponsive to conventional therapy, complement function screening and targeted terminal complement pathway inhibition may represent an effective salvage strategy.
6.A Systematic Strategy for Discovering First-in-class Anti-fibrotic Drugs from Traditional Chinese Medicine
Wen HUANG ; Guang XIN ; Sanyin ZHANG ; Tao WANG ; Wei CHEN ; Zeliang WEI ; Qilong ZHOU ; Ke LI ; Dan SUN ; Kui YU ; Shilin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):296-307
Pulmonary fibrosis(PF) is a progressive and life-threatening disease with limited therapeutic options, highlighting the urgent need for innovative drug discovery strategies. To address this challenge, the authors propose the formula-originated rational intelligent screening&translation(FIRST), a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine(TCM). The strategy integrates three key dimensions, including tissue-oriented intelligent screening of active compounds, structural optimization based on drug-target spatial interactions and plant biosynthetic pathways, and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM, the development and mechanistic elucidation of anti-fibrotic therapeutics, as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class, formula-derived monomeric drugs with defined structures, clarified mechanisms, and proven safety, offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.
7.A Systematic Strategy for Discovering First-in-class Anti-fibrotic Drugs from Traditional Chinese Medicine
Wen HUANG ; Guang XIN ; Sanyin ZHANG ; Tao WANG ; Wei CHEN ; Zeliang WEI ; Qilong ZHOU ; Ke LI ; Dan SUN ; Kui YU ; Shilin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):296-307
Pulmonary fibrosis(PF) is a progressive and life-threatening disease with limited therapeutic options, highlighting the urgent need for innovative drug discovery strategies. To address this challenge, the authors propose the formula-originated rational intelligent screening&translation(FIRST), a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine(TCM). The strategy integrates three key dimensions, including tissue-oriented intelligent screening of active compounds, structural optimization based on drug-target spatial interactions and plant biosynthetic pathways, and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM, the development and mechanistic elucidation of anti-fibrotic therapeutics, as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class, formula-derived monomeric drugs with defined structures, clarified mechanisms, and proven safety, offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.
8.Research progress on the association between food environment and obesity
JIA Menghan ; CHEN Pei ; LI Xin ; SUN Ling
Journal of Preventive Medicine 2026;38(1):43-47
Obesity is a multi-factorial disease involving genetics, individual behavior, socio-economic status, and environmental factors, and has become a global public health issue. The food environment, as an external factor amenable to direct intervention, affects the development of obesity by shaping individual food acquisition and consumption behaviors. The food environment refers to the physical and social environment where food is accessible, and can be assessed from dimensions such as availability, accessibility, and affordability through geographic information system spatial analysis, field surveys, commercial databases, and questionnaires. Studies indicate that the food environment can influence obesity through the spatial shaping effects of dietary structure and sociobehavioral pathways. A healthy food environment is negatively correlated with the risk of obesity, whereas an unhealthy food environment is positively correlated with the risk of obesity. This paper reviews studies related to the correlation between the food environment and obesity, covering the prevalence of obesity, the definition and assessment methods of the food environment, and the mechanisms by which the food environment affects obesity. It summarizes food environment intervention strategies centered on urban planning, policies and regulations, and community education to provide a reference for obesity prevention and control.
9.Multi-dimensional Holographic Characterization of Zhejiang Characteristic Atractylodis Macrocephalae Rhizoma with Nine-time Repeating Steaming and Processing
Xin WU ; Cuiwei CHEN ; Qiao YU ; Chao FENG ; Hongyan ZHANG ; Yan CHEN ; Caihua SUN ; Gang CAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):197-205
ObjectiveHistorically documented Zhejiang Atractylodis Macrocephalae Rhizoma(Baizhu) possesses premium characteristics such as phoenix-like head and crane-like neck, pronounced sweetness, and fragrant aroma. However, its current market circulation is low, and the processed products with Zhejiang-style characteristics are at the risk of being lost. This study aims to preserve the ancient Zhejiang-style processing techniques and evaluate them using modern scientific methods. MethodsMultidimensional intelligent sensory evaluation was used to digitally characterize the "quality-structure" of the external appearance of nine-steamed and nine-processed Baizhu medicinal materials(intermediate processed products) and the "odor-taste" of the internal quality of its decoction pieces(slices), and the appearance parameters were digitally characterized by colorimeter, texture analyzer, electronic nose and electronic tongue, the chemical composition was analyzed via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS). Then, cluster analysis on the differences in odor between the medicinal materials(intermediate processed products) and decoction pieces(slices) of nine-steamed and nine-processed Baizhu was conducted, as well as the differences in taste between water-soluble and alcohol-soluble extracts of the decoction pieces(slices), and the correlation analysis of chroma value-alcohol-soluble extract content-component response value. ResultsThe nine-steamed and nine-processed Baizhu had a dark brown to black epidermis, a brownish-yellow to brownish-gray cross-section, a slightly tough texture, a faint odor, and a slightly sweet, bitter and pungent taste. Texture analyzer measurements revealed minimal adhesion and maximum recovery in the middle section of the characteristic processed Baizhu, consistent with the processing endpoint of thorough steaming and cooking. The head section showed the highest internal hardness, elasticity and chewiness, indicating a denser texture in this area. The electronic nose sensor could clearly distinguish the difference between the medicinal materials and its decoction pieces, with a more significant clustering effect at 60 ℃ for 30 minutes compared to ambient temperature headspace for 2 hours, highlighting the significant impact of the baking degree before slicing on the quality. The electronic tongue taste signal map clearly distinguished the differences between water-soluble and alcohol-soluble extracts of nine-steamed and nine-processed Baizhu decoction pieces, and the addition of auxiliary materials during processing could enhance its alcohol-soluble extract content. A total of 82 chemical components were identified in the characteristic processed Baizhu. After processing, the contents of 58 components increased, while 24 components decreased. Correlation analysis revealed significant negative correlations(P<0.01) between ethanol-soluble extract content and colorimetric values of brightness(L*), yellow-bule value(b*), and total color difference(E*ab). E*ab showed marked negative correlations(P<0.05) with the response values of isochlorogenic acid A and C. ConclusionThis study establishes a modern intelligent sensory evaluation model for multidimensional holographic characterization of nine-steamed and nine-processed Baizhu, clarifying the correlation between increased isochlorogenic acid content and the visual color appearance after different steaming cycles, as well as its intrinsic alcohol-soluble extracts. This provides a reference for quality evaluation and processing standards of the Zhejiang-style characteristic processed products.
10.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.


Result Analysis
Print
Save
E-mail