1.Construction of Perimenopausal Depression Animal Models and Mechanism of Action of Traditional Chinese Medicine: A Review
Xiaoting LI ; Shouzhu XU ; Jun KE ; Zhan ZHANG ; Bao XIN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):258-267
Perimenopausal depression (PMD) is an affective disorder that occurs in women during the transition from sexual maturity to old age. It can induce various complications, such as insomnia and cognitive decline. The etiology of PMD is complex. Although multiple hypotheses have been proposed, there is still no unified theory that fully explains its pathogenesis. Research into its mechanisms relies heavily on animal experiments, and establishing reliable animal models is crucial for experimental studies. Appropriate animal models can better simulate human pathophysiological states, rapidly evaluate the efficacy and safety of drugs and intervention methods, grasp the essence of the disease, and uncover its intrinsic connections, thereby exploring more advanced intervention strategies. However, there is a lack of systematic review and summarization of literature related to model construction. Additionally, traditional Chinese medicine (TCM), adhering to the principles of ''syndrome differentiation and treatment'' and ''holistic concept'', has shown significant efficacy in treating PMD. In recent years, research exploring and analyzing its therapeutic mechanisms has been increasing. Therefore, to gain a clearer and more comprehensive understanding of PMD animal modeling methods and the mechanisms of TCM, this paper reviewed Chinese and English literature on PMD animal models and mechanisms of TCM in PMD treatment. It summarized the construction methods of single-factor and multi-factor PMD models, and discussed the advantages and disadvantages of each modeling approach. Furthermore, it delved into the mechanisms of TCM intervention in PMD, revealing that TCM formulas primarily exert their effects by regulating the hypothalamic-pituitary-adrenal axis, hypothalamic-pituitary-ovarian axis, gut-brain axis, cell signaling pathways, neural circuits, hormone levels, and neurotransmitter levels. This review aims to provide a reference for future research in this field. In summary, by summarizing the progress in the methods for PMD animal model construction and the mechanisms of TCM, the paper seeks to offer new insights into the mechanistic research of TCM intervention in PMD.
2.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.
3.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.
4.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.
5.Effects and mechanisms of swimming for inhibiting traumatic joint contracture in a rat model
Xiaoping SHUI ; Chunying LI ; Xin ZHANG ; Bin LI ; Chao FENG ; Hongyu ZHOU ; Ke CHEN ; Yingying LIAO
Chinese Journal of Tissue Engineering Research 2025;29(2):262-268
BACKGROUND:Early exercise treatment is the main prevention way for traumatic joint contracture and is also a research focus.Swimming may be a potential intervention for joint contracture due to the special physical properties of water. OBJECTIVE:To explore the effects of swimming on the development of joint contracture in a rat model and study its mechanisms. METHODS:Twenty-four Sprague-Dawley rats were randomly divided into a blank control group(n=8)and a joint contracture group(n=16).After the surgical operation of knee joint contracture rat models,the joint contracture group was randomly subdivided into a surgical control group(n=8)and a swimming treatment group(n=8).Swimming started in the swimming treatment group in the second week after surgery and lasted for a total of 5 weeks.At the 6th week after surgery,the body mass,knee joint range of motion,and quadriceps diameter were tested,and the diameter/body mass index was calculated.Hematoxylin-eosin staining was performed to detect the pathological changes in the knee joint capsule and quadriceps muscle,and Masson staining was used to observe fibrotic changes in the knee joint capsule.Furthermore,the protein expression of transforming growth factor β1 and type I collagen in the knee joint capsule was quantified by immunohistochemical assay and western blot was performed to detect the protein expression of MuRF1 in the quadriceps femoris. RESULTS AND CONCLUSION:Compared with the blank control group,the knee range of motion decreased in the surgical control and swimming treatment groups(P<0.01),and knee extension deficit and arthrogenic extension deficit were significantly increased(P<0.01),the diameter of the quadriceps muscle was decreased(P<0.01),the joint capsule showed significant fibrosis,the quadriceps muscle was atrophied,and the diameter/body mass index was decreased(P<0.01).Compared with the surgical control group,the swimming treatment group showed a significant increase in knee joint range of motion and quadriceps diameter(P<0.01),and significant improvement in joint capsule fibrosis and quadriceps atrophy.Compared with the blank control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen were increased in the joint capsule of rats in both the surgical control group and the swimming treatment group(P<0.01).Compared with the surgical control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen protein in the joint capsule were decreased in the swimming treatment group.Compared with the blank control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the surgical control group and the swimming treatment group was increased(P<0.05).Compared with the surgical control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the swimming treatment group was decreased(P<0.05).To conclude,early swimming intervention reduces transforming growth factor β1 and type I collagen expression in the joint capsule of traumatic joint contracture rats,decreases MuRF1 expression in the quadriceps muscle,and increases joint range of motion and quadriceps diameter,thereby inhibiting the development of joint contracture.
6.Health literacy prediction models based on machine learning methods: a scoping review
PAN Xiang ; TONG Yingge ; LI Yixuan ; NI Ke ; CHENG Wenqian ; XIN Mengyu ; HU Yuying
Journal of Preventive Medicine 2025;37(2):148-153
Objective:
To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models.
Methods:
Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed.
Results:
A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination.
Conclusion
Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.
7.Analysis of factors influencing global longitudinal strain based on cardiac magnetic resonance after acute myocardial infarction
Ke LIU ; Yi-Qing ZHAO ; Zhen-Yan MA ; Xin A ; Li LI ; Wei-Ran KONG ; Lei ZHAO ; Hong-Bo ZHANG ; Ying ZHANG ; Geng QIAN
Medical Journal of Chinese People's Liberation Army 2025;50(11):1382-1389
Objective To investigate the factors influencing global longitudinal strain(GLS)measured by cardiac magnetic resonance(CMR)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods Clinical data of 315 hospitalized patients diagnosed with acute STEMI who underwent percutaneous coronary intervention(PCI)at the First Medical Center of Chinese PLA General Hospital from June 2016 to September 2021 were retrospectively collected.After analyzing CMR images of all patients,GLS and other strain parameters were obtained,and then the patients were divided into two groups according to the median GLS.In order to balance gender and age differences,1:1 propensity score matching was performed,and 206 patients were eventually included:GLS>-11.3%group(indicating severe GLS impairment,n=103)and GLS≤-11.3%group(n=103).Baseline characteristics,laboratory indicators,coronary angiographic parameters,electrocardiogram(ECG)features,and CMR parameters were compared between the two groups.Variables showing significant differences were analyzed for their correlation with GLS.Multivariate logistic regression and multiple stepwise linear regression analyses were performed to identify factors associated with GLS impairment.Results Compared with GLS≤-11.3%group,GLS>-11.3%group had significantly higher peak levels of creatine kinase-MB(CK-MB)and troponin T(TnT)(P<0.001).A higher proportion of patients in GLS>-11.3%group had the left anterior descending artery(LAD)as the culprit vessel,while a lower proportion had the right coronary artery(RCA)as the culprit vessel(P<0.001).Additionally,GLS>-11.3%group had longer QRS duration(P<0.001)and a higher incidence of pathological Q waves(P=0.001).Regarding CMR parameters,GLS>-11.3%group exhibited larger global circumferential strain(GCS),infarct size(IS),and left ventricular end-systolic volume(LVESV),as well as lower global radial strain(GRS)and left ventricular ejection fraction(LVEF)(P<0.001).Multivariate logistic regression indicated that peak TnT(OR=1.092,P=0.001),LAD culprit vessel(OR=3.744,P<0.001),and QRS duration(OR=1.026,P<0.001)were significantly associated with severely impaired GLS.Multiple stepwise linear regression analysis showed that the logarithmic value of peak TnT,LAD as the culprit vessel,and the square root of QRS duration were linearly correlated with GLS values(adjusted R2=0.301,P<0.001),and these independent variables explained 30.1%of the variation in GLS.Conclusion Elevated peak TnT,prolonged QRS duration,and LAD as the culprit vessel are significantly associated with severe GLS impairment in STEMI patients,indicating more severe myocardial infarction and worse left ventricular function.
8.Effects of dihydroartemisinin on cognitive behavior,β-amyloid and autophagy proteins in brain and retina of 5×FAD mice
Yi-Wei HOU ; Yu YANG ; Zhi-Xin WANG ; Li YI ; Hang ZHOU ; Bei-Han LI ; Hong-Bo YAO ; Han GAO ; Yu-Chun WANG ; Ke-Shuang ZHANG
Acta Anatomica Sinica 2025;56(3):270-276
Objective To explore the pathogenesis of Alzheimer's disease by examining the effects of dihydroartemisinin(DHA)on cognitive behavior,hippocampal,cerebral cortex and retinal cell morphology,β-amyloid(Aβ)and autophagy-related proteins in 5×FAD mice.Methods Twenty 5×FAD mice and 5 wild type(WT)mice were selected,all of which were female.The 5×FAD mice were randomly divided into model(M)group,donepezil(D)group,low-dose DHA(DHA-L)group,and high-dose DHA(DHA-H)group.The WT and M groups were not treated,and the D group was given donepezil 0.1 mg/kg per day.DHA-L group and DHA-H group were given 10 mg/kg and 20 mg/kg DHA per day,respectively.Group D,group DHA-L and group DHA-H were given intragastric administration once a day for 3 months.The changes of in cognitive behavior were measured by Morris experiment.HE staining was used to observe the arrangement and morphology of nerve cells in cerebral cortex,hippocampus and retina.The expressions of Aβ protein in cerebral cortex,hippocampus and retina were detected by immunohistochemistry.Western blotting detected the expression of autophagy related proteins(LC3-Ⅰ,LC3-Ⅱ,Beclin-1,P62,β-actin).Results The DHA-H group and the D group exhibited more frequent adoption of both linear and trending exploration routes.Compared to the model group,significant differences in the contents of Aβ in the hippocampal CA1,cerebral cortex S1,and retinal were observed(P<0.0001)in the other four groups.The analysis also showed significant differences in autophagy-associated proteins between the DHA-L,DHA-H,and model groups(P<0.01).Conclusion DHA improves cognitive function and increases the number of nerve cells in mice.It also reduces Aβ content in the cerebral cortex,hippocampus,and retina,along with improving autophagy-associated protein deposition in mice.
9.BiFC and FACS-based CRISPR screening revealed that QKI promotes PABPN1 LLPS in colorectal cancer cells.
Mengxia LI ; Zhijie HU ; Yingye HUANG ; Yuting HAN ; Cheng LIANG ; Yuchi LIU ; Runze WU ; Xin LU ; Ke DENG ; Susu LIU ; Xin OU ; Yuwei LI ; Chao LIU ; Xuening LI ; Jingting LIANG ; Yonggui FU ; Anlong XU
Protein & Cell 2025;16(7):557-574
Protein liquid-liquid phase separation (LLPS), a pivotal phenomenon intricately linked to cellular processes, is regulated by various other proteins. However, there is still a lack of high-throughput methods for screening protein regulators of LLPS in target proteins. Here, we developed a CRISPR/Cas9-based screening method to identify protein phase separation regulators by integrating bimolecular fluorescence complementation (BiFC) and fluorescence-activated cell sorting (FACS). Using this newly developed method, we screened the RNA-binding proteins that regulate PABPN1 phase separation and identified the tumor suppressor QKI as a promoter of PABPN1 phase separation. Furthermore, QKI exhibits decreased expression levels and diminished nuclear localization in colorectal cancer cells, resulting in reduced PABPN1 phase separation, which, in turn, promotes alternative polyadenylation (APA), cell proliferation, and migration in colorectal cancer.
Humans
;
Colorectal Neoplasms/genetics*
;
RNA-Binding Proteins/genetics*
;
Poly(A)-Binding Protein I/genetics*
;
CRISPR-Cas Systems
;
Flow Cytometry
;
Cell Proliferation
;
Cell Line, Tumor
;
Cell Movement
10.The Regulatory Mechanisms of Dopamine Homeostasis in Behavioral Functions Under Microgravity
Xin YANG ; Ke LI ; Ran LIU ; Xu-Dong ZHAO ; Hua-Lin WANG ; Lan-Qun MAO ; Li-Juan HOU
Progress in Biochemistry and Biophysics 2025;52(8):2087-2102
As China accelerates its efforts in deep space exploration and long-duration space missions, including the operationalization of the Tiangong Space Station and the development of manned lunar missions, safeguarding astronauts’ physiological and cognitive functions under extreme space conditions becomes a pressing scientific imperative. Among the multifactorial stressors of spaceflight, microgravity emerges as a particularly potent disruptor of neurobehavioral homeostasis. Dopamine (DA) plays a central role in regulating behavior under space microgravity by influencing reward processing, motivation, executive function and sensorimotor integration. Changes in gravity disrupt dopaminergic signaling at multiple levels, leading to impairments in motor coordination, cognitive flexibility, and emotional stability. Microgravity exposure induces a cascade of neurobiological changes that challenge dopaminergic stability at multiple levels: from the transcriptional regulation of DA synthesis enzymes and the excitability of DA neurons, to receptor distribution dynamics and the efficiency of downstream signaling pathways. These changes involve downregulation of tyrosine hydroxylase in the substantia nigra, reduced phosphorylation of DA receptors, and alterations in vesicular monoamine transporter expression, all of which compromise synaptic DA availability. Experimental findings from space analog studies and simulated microgravity models suggest that gravitational unloading alters striatal and mesocorticolimbic DA circuitry, resulting in diminished motor coordination, impaired vestibular compensation, and decreased cognitive flexibility. These alterations not only compromise astronauts’ operational performance but also elevate the risk of mood disturbances and motivational deficits during prolonged missions. The review systematically synthesizes current findings across multiple domains: molecular neurobiology, behavioral neuroscience, and gravitational physiology. It highlights that maintaining DA homeostasis is pivotal in preserving neuroplasticity, particularly within brain regions critical to adaptation, such as the basal ganglia, prefrontal cortex, and cerebellum. The paper also discusses the dual-edged nature of DA plasticity: while adaptive remodeling of synapses and receptor sensitivity can serve as compensatory mechanisms under stress, chronic dopaminergic imbalance may lead to maladaptive outcomes, such as cognitive rigidity and motor dysregulation. Furthermore, we propose a conceptual framework that integrates homeostatic neuroregulation with the demands of space environmental adaptation. By drawing from interdisciplinary research, the review underscores the potential of multiple intervention strategies including pharmacological treatment, nutritional support, neural stimulation techniques, and most importantly, structured physical exercise. Recent rodent studies demonstrate that treadmill exercise upregulates DA transporter expression in the dorsal striatum, enhances tyrosine hydroxylase activity, and increases DA release during cognitive tasks, indicating both protective and restorative effects on dopaminergic networks. Thus, exercise is highlighted as a key approach because of its sustained effects on DA production, receptor function, and brain plasticity, making it a strong candidate for developing effective measures to support astronauts in maintaining cognitive and emotional stability during space missions. In conclusion, the paper not only underscores the centrality of DA homeostasis in space neuroscience but also reflects the authors’ broader academic viewpoint: understanding the neurochemical substrates of behavior under microgravity is fundamental to both space health and terrestrial neuroscience. By bridging basic neurobiology with applied space medicine, this work contributes to the emerging field of gravitational neurobiology and provides a foundation for future research into individualized performance optimization in extreme environments.


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