1.Quercetin Ameliorates Gouty Arthritis in Rats via ROS/NLRP3/IL-1β Signaling Pathway
Baowei FENG ; Yan WANG ; Chang LI ; Yujing ZHANG ; Dingxing FAN ; Xin LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):145-153
ObjectiveTo investigate the effect of quercetin on acute gouty arthritis (GA) in rats by inhibiting the reactive oxygen species (ROS)/NOD-like receptor protein 3 (NLRP3)/interleukin-1β (IL-1β) signaling pathway. MethodsSixty SPF-grade male SD rats were randomized into normal, model, colchicine (0.3 mg·kg-1), and low-, medium-, and high-dose (25, 50, 100 mg·kg-1, respectively) quercetin groups (n=10). The rats in the dosing groups were administrated with the corresponding drugs (10 mL·kg-1) by gavage once a day for one week. An equal volume of normal saline was given by gavage to rats in normal and model groups. One hour after drug administration on day 5, an acute GA model was established in other groups except the control group via intra-articular injection of monosodium urate (MSU) suspension into the right posterior ankle joint cavity. The joint swelling and gait were scored at the time points of 6, 12, 24, 48 h after modeling. Histopathological alterations in the ankle joint tissue from each group were assessed by hematoxylin-eosin (HE) staining. Malondialdehyde (MDA), xanthine oxidase (XOD), and total superoxide dismutase (T-SOD) assay kits were used to assess the levels of MDA, XOD, and T-SOD in the serum. The levels of tumor interleukin-6 (IL-6), necrosis factor-α (TNF-α), and IL-1β in the rat serum, as well as ROS in the ankle joint tissue, were measured by enzyme-linked immunosorbent assay (ELISA). Western blot was performed to determine the protein levels of NLRP3, thioredoxin-interacting protein (TXNIP), apoptosis-associated speck-like protein containing a CARD domain (ASC), precursor cysteinyl aspartate-specific proteinase-1 (pro-Caspase-1), cleaved Caspase-1 (Caspase-1 p20), and IL-1β in the ankle joint tissue. Real-time PCR was employed to assess the mRNA levels of TXNIP, NLRP3, ASC, IL-1β, and TNF-α in the ankle joint tissue. ResultsCompared with the normal group, the model group exhibited decreased spontaneous activity, mental fatigue, increased ankle joint swelling and gait scores (P<0.01), aggravated synovial tissue edema and inflammatory cell infiltration (P<0.01), elevated levels of XOD, MDA, TNF-α, IL-1β, and IL-6 in the serum and ROS in the joint tissue (P<0.01), a declined level of T-SOD (P<0.01), up-regulated protein levels of NLRP3, TXNIP, ASC, pro-Caspase-1, Caspase-1 p20, and IL-1β in the ankle joint tissue (P<0.01), and up-regulated mRNA levels of NLRP3, TXNIP, ASC, IL-1β, and TNF-α in the ankle joint tissue (P<0.01). Compared with the model group, the medium- and high-dose quercetin groups showed improved general conditions, decreased gait scores (P<0.05, P<0.01), reduced joint swelling (P<0.01), alleviated synovial tissue edema and inflammatory cell infiltration (P<0.05, P<0.01), lowered levels of XOD, MDA, TNF-α, IL-1β, and IL-6 in the serum and ROS in the joint tissue (P<0.01), increased levels of T-SOD (P<0.01), down-regulated protein levels of TXNIP, NLRP3, ASC, pro-Caspase-1, Caspase-1 p20, and IL-1β in the ankle joint tissue (P<0.05, P<0.01), and down-regulated mRNA levels of TXNIP, NLRP3, ASC, IL-1β, and TNF-α in the ankle joint tissue (P<0.01). Low-dose quercetin also ameliorated some of the above parameters (P<0.05, P<0.01). ConclusionQuercetin exerts anti-GA effects by blocking the ROS/NLRP3/IL-1β signaling pathway, downregulating NLRP3 inflammasome activation, and inhibiting the production of pro-inflammatory cytokines including TNF-α, IL-1β, and IL-6.
2.Related research on pathogenic candidate genes for familial blepharophimosis-ptosis-epicanthus inversus syndrome
Xin TAN ; Linan JIAO ; Xianfang PU ; Yunqin LI ; Yue ZOU ; Jianshu KANG
International Eye Science 2026;26(1):142-147
AIM: To conduct whole exome sequencing(WES)analysis on three pedigrees with blepharophimosis-ptosis-epicanthus inversus syndrome(BPES)to identify the pathogenic gene loci, uncover novel mutations, and expand the mutation spectrum of the disease-associated genes.METHODS:Retrospective study. A total of 3 pedigrees and 30 patients with BPES(with criteria of bilateral blepharophimosis, ptosis, epicanthus inversus and wider inner canthal distance at birth)treated in the Ophthalmology Department of the Second People's Hospital of Yunnan Province were collected from January 2021 to August 2021, including 8 patients and 22 unaffected family members. Peripheral blood samples were collected from patients and related family members, and genomic DNA was extracted for whole exome sequencing. The sequencing results were screened to identify potential pathogenic gene loci, and candidate mutations were validated using Sanger sequencing.RESULTS:WES analysis identified pathogenic gene mutations in 3 BPES pedigrees: pedigree 1(6 members, 3 affected individuals, with a history of disease across three generations)harbored a novel heterozygous mutation in the PIEZO2 gene(located 36 bp upstream of exon 11, G>C). Sanger sequencing confirmed that this mutation was present in all affected individuals and absent in normal family members, and it represents the first report of this mutation. Pedigree 2(14 members, 2 affected individuals)and pedigree 3(10 members, 3 affected individuals)carried known heterozygous mutations in the FOXL2 gene, namely the missense mutation c.313A>C(p.N105H)and the in-frame mutation c.672_701dupAGCGGCTGCAGCAGCTGCGGCTGCAGCCGC(p.A225_A234dupAAAAAAAAAA), respectively.CONCLUSION:WES successfully identified the pathogenesis of familial congenital BPES in two families, including a known FOXL2 gene mutation and a newly discovered PIEZO2 gene mutation. These findings provide a theoretical basis for genetic counseling and reproductive guidance. Notably, the PIEZO2 gene mutation(located 36 bp upstream of exon 11, G>C)discovered in the pedigree 1 is reported for the first time and plays a critical role in the onset of the disease in this family. Further investigation of this new mutation could not only expand the mutation spectrum of BPES, but also enhance our understanding of its pathogenic mechanisms.
3.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
4.Molecular Mechanism of Programmed Cell Death in Chronic Obstructive Pulmonary Disease and Traditional Chinese Medicine Intervention: A Review
Xin PENG ; Yunhui LI ; Lei LIANG ; Zheyu LUAN ; Hanxiao WANG ; Haotian XU ; Ziming DANG ; Jihong FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):304-313
Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease that poses a significant threat to global health, exhibiting high morbidity, disability and mortality rate, with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex, and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death (PCD) is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine (TCM) is characterized by holistic regulation. In recent years, extensive research has been conducted in the TCM field focusing on modulating apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis for the treatment of COPD, yielding remarkable achievements. Therefore, this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD, aiming to provide insights and references for the clinical prevention, treatment and in-depth research of COPD.
5.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
6.Molecular Mechanism of Programmed Cell Death in Chronic Obstructive Pulmonary Disease and Traditional Chinese Medicine Intervention: A Review
Xin PENG ; Yunhui LI ; Lei LIANG ; Zheyu LUAN ; Hanxiao WANG ; Haotian XU ; Ziming DANG ; Jihong FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):304-313
Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease that poses a significant threat to global health, exhibiting high morbidity, disability and mortality rate, with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex, and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death (PCD) is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine (TCM) is characterized by holistic regulation. In recent years, extensive research has been conducted in the TCM field focusing on modulating apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis for the treatment of COPD, yielding remarkable achievements. Therefore, this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD, aiming to provide insights and references for the clinical prevention, treatment and in-depth research of COPD.
7.Multicenter machine learning-based construction of a model for predicting potential organ donors and validation with decision curve analysis
Xu WANG ; Wenxiu LI ; Fenghua WANG ; Shuli WU ; Dong JIA ; Xin GE ; Zhihua SHAN ; Tongzuo LI
Organ Transplantation 2026;17(1):106-115
Objective To evaluate the predictive value of different machine learning models constructed in a multicenter environment for potential organ donors and verify their clinical application feasibility. Methods The study included 2 000 inpatients admitted to five domestic tertiary hospitals from January 2020 to December 2023, who met the criteria for potential organ donation assessment. They were randomly divided into a training set and an internal validation set (7∶3). Another 300 similar patients admitted to the First Affiliated Hospital of Harbin Medical University from January 2024 to April 2025 were included as an external validation set. The area under the curve (AUC), sensitivity, specificity, accuracy and F1-score of three models were compared, and the consistency of the potential organ donor determination process was tested. Multivariate logistic regression analysis was used to identify predictive factors of potential organ donors. Decision curve analysis (DCA) was employed to verify the resource efficiency of each model, and the threshold interval and intervention balance point were assessed. Results Apart from age, there were no significant differences in other basic characteristics among the centers (all P>0.05). The consistency of the potential organ donor determination process among researchers in each center was good [all 95% confidence interval (CI) lower limits >0]. In the internal validation set, the XGBoost model had the best predictive performance (AUC=0.92, 95% CI 0.89-0.94) and the best calibration (P=0.441, Brier score 0.099). In the external validation set, the XGBoost model also had the best predictive performance (AUC=0.91, 95% CI 0.88-0.94), outperforming logistic regression and random forest models. Multivariate logistic regression showed that mechanical ventilation had the greatest impact (odds ratio=2.06, 95% CI 1.54-2.76, P<0.001). DCA indicated that the XGBoost model had the highest net benefit in the threshold interval of 0.2-0.6. The “treat all” strategy only had a slight advantage at extremely low thresholds. The recommended threshold interval, which balances intervention costs and clinical benefits, considers ≥50% positive predictive value (PPV) and ≤50 referrals per 100 high-risk patients. Conclusions The XGBoost model established in a multicenter environment is accurate and well-calibrated in predicting potential organ donors. Combined with DCA, it may effectively guide the timing of clinical interventions and resource allocation, providing new ideas for the assessment and management of organ donation after brain death.
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.OBE-CDIO model of teaching for curriculum of exercise rehabilitation training
Hua LIU ; Liyuan WANG ; Xin MA ; Jing LI ; Li WANG
Chinese Journal of Rehabilitation Theory and Practice 2026;32(3):270-275
ObjectiveTo investigate the effectiveness of teaching pedagogy based on outcome-based education (OBE) and conceive-design-implement-operate (CDIO) model in the teaching of exercise rehabilitation training. MethodsTwenty-seven postgraduate students majoring in exercise rehabilitation training of grade 2024 at Capital University of Physical Education and Sports were randomly divided into control group (n = 13) and experimental group (n = 14). The control group received routine teaching methods, while the experimental group received teaching of OBE-CDIO. After the course, theoretical scores, objective structured clinical examination (OSCE) scores and teaching satisfaction via questionnaire were compared between two groups. ResultsAfter the course, there was no significant difference in theoretical scores between two groups (t = 1.103, P > 0.05). Scores in all stations of OSCE were higher in the experimental group than in the control group (t > 2.181, P < 0.05), as well as the satisfaction scores of learning, enthusiasm, organization, group interaction, individual affinity, workload and examination (|t| > 3.781, P < 0.001). ConclusionThe teaching pedagogy based on the OBE-CDIO model can improve practical competence and teaching satisfaction among postgraduate students majoring in exercise rehabilitation training.
10.Systematic review of risk prediction models for chemotherapy-induced myelosuppression in pediatric patients with malignant tumors
Li HE ; Xin LIN ; Xiaoping JIANG
China Pharmacy 2026;37(7):954-959
OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in pediatric patients with malignant tumors, evaluate their modeling strategies, key predictors, and predictive performance, and provide evidence-based references for clinical decision-making and research. METHODS A literature search was conducted across 11 databases, including CNKI, Wanfang Data, and PubMed, for relevant studies published before April 2025. Two reviewers independently performed literature screening and data extraction, and the risk of bias and applicability of the models were evaluated using the PROBAST tool. RESULTS Ultimately, seven studies were selected, of which four were English articles and three were Chinese articles, involving 12 risk prediction models. Although model discrimination was good (AUC 0.748-0.981), only two models underwent external validation; furthermore, calibration was inadequately reported in three studies. PROBAST indicated that all models exhibited a high risk of bias, with major issues including a predominance of retrospective designs, inadequate sample representativeness, and lack of blinding. However, in terms of applicability, all models received favorable evaluations. In terms of modeling methods, most studies employed traditional logistic regression approaches to construct models, while only a minority introduced machine learning algorithms and conducted systematic comparisons among multiple algorithms. Models developed using machine learning methods significantly outperformed those constructed with traditional statistical methods. CONCLUSIONS The existing risk prediction models for myelosuppression after chemotherapy in children with malignant tumors demonstrate potential in clinical risk early warning. However, they generally suffer from design and methodological limitations, such as a predominance of retrospective single-center designs, few events per variable, opaque handling of missing data, and inconsistent reporting of model coefficients. Future studies should adopt prospective designs, incorporate machine learning with key clinical predictors, and follow TRIPOD reporting guidelines to enhance scientific rigor and clinical utility.


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