1.Sesquiterpenoids from resin of Commiphora myrrha.
Hao HUANG ; Ran WANG ; Ya-Zhu YANG ; Jiao-Jiao YIN ; Yue LIN ; Yun-Fang ZHAO ; Hui-Xia HUO ; Jun LI
China Journal of Chinese Materia Medica 2025;50(3):702-707
The chemical constituents of Commiphora myrrha was investigated by column chromatography on silica gel, ODS, Sephadex LH-20, and semi-preparative HPLC. Their structures were elucidated by comprehensive spectroscopic methods including UV, IR, MS, NMR, as well as ECD calculation. Seven compounds were isolated from the dichloromethane-soluble fraction of C. myrrha and their structures were identified as(1S,2R,4S,5R,8S)-guaiane-2-hydroxy-7(11),10(15)-dien-6-oxo-12,8-olide(1), commipholide E(2), myrrhterpenoid H(3), myrrhterpenoid I(4), myrrhterpenoid E(5), 2α-methoxy-8α-hydroxy-6-oxogermacra-1(10),7(11)-dien-8,12-olide(6), 8,12-epoxy-1α,9α-hydroxy-eudesma-7,11-diene-6-dione(7). Compound 1 was a new compound and named myrrhterpenoid P. Compound 7 was isolated from Commiphora genus for the first time. Compounds 2, 5, and 6 significantly inhibited nitric oxide(NO) production in LPS-stimulated RAW264.7 cells, with IC_(50) values of(49.67±4.16),(40.80±1.27),(47.22±0.87) μmol·L~(-1), respectively [indomethacin as the positive control, with IC_(50) value of(63.92±2.60) μmol·L~(-1)].
Commiphora/chemistry*
;
Animals
;
Mice
;
Resins, Plant/chemistry*
;
Sesquiterpenes/isolation & purification*
;
Molecular Structure
;
Nitric Oxide
;
Macrophages/metabolism*
;
RAW 264.7 Cells
;
Drugs, Chinese Herbal/pharmacology*
2.Studies on pharmacological effects and chemical components of different extracts from Bawei Chenxiang Pills.
Jia-Tong WANG ; Lu-Lu KANG ; Feng ZHOU ; Luo-Bu GESANG ; Ya-Na LIANG ; Guo-Dong YANG ; Xiao-Li GAO ; Hui-Chao WU ; Xing-Yun CHAI
China Journal of Chinese Materia Medica 2025;50(11):3035-3042
The medicinal materials of Bawei Chenxiang Pills(BCPs) were extracted via three methods: reflux extraction by water, reflux extraction by 70% ethanol, and extraction by pure water following reflux extraction by 70% ethanol, yielding three extracts of ST, CT, and CST. The efficacy of ST(760 mg·kg~(-1)), CT(620 mg·kg~(-1)), and CST(1 040 mg·kg~(-1)) were evaluated by acute myocardial ischemia(AMI) and p-chlorophenylalanine(PCPA)-induced insomnia in mice, respectively. Western blot was further utilized to investigate their hypnosis mechanisms. The main chemical components of different extracts were identified by the UPLC-Q-Exactive-MS technique. The results showed that CT and CST significantly increased the ejection fraction(EF) and fractional shortening(FS) of myocardial infarction mice, reduced left ventricular internal dimension at end-diastole(LVIDd) and left ventricular internal dimension at end-systole(LVIDs). In contrast, ST did not exhibit significant effects on these parameters. In the insomnia model, CT significantly reduced sleep latency and prolonged sleep duration, whereas ST only prolonged sleep duration without shortening sleep latency. CST showed no significant effects on either sleep latency or sleep duration. Additionally, both CT and ST upregulated glutamic acid decarboxylase 67(GAD67) protein expression in brain tissue. A total of 15 main chemical components were identified from CT, including 2-(2-phenylethyl) chromone and 6-methoxy-2-(2-phenylethyl) chromone. Six chemical components including chebulidic acid were identified from ST. The results suggested that chromones and terpenes were potential anti-myocardial ischemia drugs of BCPs, and tannin and phenolic acids were potential hypnosis drugs. This study enriches the pharmacological and chemical research of BCPs, providing a basis and reference for their secondary development, quality standard improvement, and clinical application.
Animals
;
Drugs, Chinese Herbal/isolation & purification*
;
Mice
;
Male
;
Sleep Initiation and Maintenance Disorders/physiopathology*
;
Humans
;
Myocardial Infarction/drug therapy*
;
Myocardial Ischemia/drug therapy*
3.Three new chalcone C-glycosides from Carthami Flos.
Jia-Xu BAO ; Yong-Xiang WANG ; Xian ZHANG ; Ya-Zhu YANG ; Yue LIN ; Jiao-Jiao YIN ; Yun-Fang ZHAO ; Hui-Xia HUO ; Peng-Fei TU ; Jun LI
China Journal of Chinese Materia Medica 2025;50(13):3715-3745
The chemical components of Carthami Flos were investigated by using macroporous resin, silica gel column chromatography, reversed-phase octadecylsilane(ODS) column chromatography, Sephadex LH-20, and semi-preparative high-performance liquid chromatography(HPLC). The planar structures of the compounds were established based on their physicochemical properties and ultraviolet-visible(UV-Vis), infrared(IR), high-resolution electrospray ionization mass spectrometry(HR-ESI-MS), and nuclear magnetic resonance(NMR) spectroscopic technology. The absolute configurations were determined by comparing the calculated and experimental electronic circular dichroism(ECD). Six flavonoid C-glycosides were isolated from the 30% ethanol elution fraction of macroporous resin obtained from the 95% ethanol extract of Carthami Flos, and identified as saffloquinoside F(1), 5-hydroxysaffloneoside(2), iso-5-hydroxysaffloneoside(3), isosafflomin C(4), safflomin C(5), and vicenin 2(6). Among these, the compounds 1 to 3 were new chalcone C-glycosides. The compounds 1, 2, 4, and 5 could significantly increase the viability of H9c2 cardiomyocytes damaged by oxygen-glucose deprivation/reoxygenation(OGD/R) at a concentration of 50 μmol·L~(-1), showing their good cardioprotective activity.
Glycosides/pharmacology*
;
Flowers/chemistry*
;
Drugs, Chinese Herbal/pharmacology*
;
Carthamus tinctorius/chemistry*
;
Chalcones/pharmacology*
;
Animals
4.RNA Sequencing Reveals Molecular Alternations of Splenocytes Associated with Anti-FⅧ Immune Response in Hemophilia A Murine Model.
Chen-Chen WANG ; Ya-Li WANG ; Yuan-Hua CAI ; Qiao-Yun ZHENG ; Zhen-Xing LIN ; Ying-Yu CHEN
Journal of Experimental Hematology 2025;33(5):1476-1485
OBJECTIVE:
To investigate the molecular alterations of splenocytes associated with anti-factor Ⅷ (FⅧ) immune response and the underlying mechanisms based on hemophilia A (HA) murine model via RNA sequencing (RNA-seq) technology.
METHODS:
Severe HA mice were immunized with recombinant human factor Ⅷ (rhF8) weekly for 4 weeks to establish an FⅧ inhibitor model. High quality raw data were obtained by using bulk RNA-seq and CASAVA base identification technology, and the differentially expressed genes (DEGs) were identified. The DEGs were statistically classified by gene ontology (GO) annotation to obtain information on the major signaling pathways and biological processes involved in anti-FⅧ immune response in HA mouse splenocytes. The cell clusters, genes, and signaling pathway datasets were comprehensively analyzed by GO, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and single cell RNA-seq (ScRNA-seq) analysis, respectively. Flow cytometry analysis was used to verify the changes in T follicular helper cells (Tfh) and regulatory T cells (Treg).
RESULTS:
A total of 3731 DEGs was identified, including 2275 genes with up-regulated expression and 1456 genes with down-regulated expression. The DEGs were enriched in helper T cell differentiation, cytokine receptor, T cell receptor signaling pathway, ferroptosis, etc. Uniform Manifold Approximation and Project (UMAP) downscaling and visualization analysis yielded a total number of 11 T/NK cell subsets, visualizing the overall expression distribution of C-X-C chemokine-specific receptor gene cxcr5 among these T/NK cell subsets. Higher expression of cxcr5 was found in activated Tfh from FⅧ inhibitor mice, in comparison to the control group. The visualization using Upset plot R language showed a close interaction between Tfh and Treg. Moreover, the increased frequencies of Tfh and the decreased frequencies of Treg in inhibitor mouse splenocytes were further verified by flow cytometry analysis.
CONCLUSION
Multiple immune cell subsets, signaling pathways, and characteristic genes may be involved in the process of anti-FⅧ immune response in HA mouse splenocytes. The molecules involved in the regulation of Tfh/Treg may play key roles, which provide potential biological targets and therapeutic strategies for HA patients with inhibitors in the future.
Animals
;
Hemophilia A/genetics*
;
Mice
;
Sequence Analysis, RNA
;
Disease Models, Animal
;
Spleen/cytology*
;
T-Lymphocytes, Regulatory/immunology*
;
Humans
;
Signal Transduction
;
Factor VIII/immunology*
;
T-Lymphocytes, Helper-Inducer/immunology*
5.Postdischarge cancer and mortality in patients with coronary artery disease: a retrospective cohort study.
Yi-Hao WANG ; Shao-Ning ZHU ; Ya-Wei ZHAO ; Kai-Xin YAN ; Ming-Zhuang SUN ; Zhi-Jun SUN ; Yun-Dai CHEN ; Shun-Ying HU
Journal of Geriatric Cardiology 2025;22(6):578-586
BACKGROUND:
Our understanding of the correlation between postdischarge cancer and mortality in patients with coronary artery disease (CAD) remains incomplete. The aim of this study was to investigate the relationships between postdischarge cancers and all-cause mortality and cardiovascular mortality in CAD patients.
METHODS:
In this retrospective cohort study, 25% of CAD patients without prior cancer history who underwent coronary artery angiography between January 1, 2011 and December 31, 2015, were randomly enrolled using SPSS 26.0. Patients were monitored for the incidence of postdischarge cancer, which was defined as cancer diagnosed after the index hospitalization, survival status and cause of death. Cox regression analysis was used to explore the association between postdischarge cancer and all-cause mortality and cardiovascular mortality in CAD patients.
RESULTS:
A total of 4085 patients were included in the final analysis. During a median follow-up period of 8 years, 174 patients (4.3%) developed postdischarge cancer, and 343 patients (8.4%) died. A total of 173 patients died from cardiovascular diseases. Postdischarge cancer was associated with increased all-cause mortality risk (HR = 2.653, 95% CI: 1.727-4.076, P < 0.001) and cardiovascular mortality risk (HR = 2.756, 95% CI: 1.470-5.167, P = 0.002). Postdischarge lung cancer (HR = 5.497, 95% CI: 2.922-10.343, P < 0.001) and gastrointestinal cancer (HR = 1.984, 95% CI: 1.049-3.750, P = 0.035) were associated with all-cause mortality in CAD patients. Postdischarge lung cancer was significantly associated with cardiovascular death in CAD patients (HR = 4.979, 95% CI: 2.114-11.728, P < 0.001), and cardiovascular death was not significantly correlated with gastrointestinal cancer or other types of cancer.
CONCLUSIONS
Postdischarge cancer was associated with all-cause mortality and cardiovascular mortality in CAD patients. Compared with other cancers, postdischarge lung cancer had a more significant effect on all-cause mortality and cardiovascular mortality in CAD patients.
6.The Valvular Heart Disease-specific Age-adjusted Comorbidity Index (VHD-ACI) score in patients with moderate or severe valvular heart disease.
Mu-Rong XIE ; Bin ZHANG ; Yun-Qing YE ; Zhe LI ; Qing-Rong LIU ; Zhen-Yan ZHAO ; Jun-Xing LV ; De-Jing FENG ; Qing-Hao ZHAO ; Hai-Tong ZHANG ; Zhen-Ya DUAN ; Bin-Cheng WANG ; Shuai GUO ; Yan-Yan ZHAO ; Run-Lin GAO ; Hai-Yan XU ; Yong-Jian WU
Journal of Geriatric Cardiology 2025;22(9):759-774
BACKGROUND:
Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD.
METHODS & RESULTS:
The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology.
CONCLUSION
The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.
7.Dorsal CA1 NECTIN3 Reduction Mediates Early-Life Stress-Induced Object Recognition Memory Deficits in Adolescent Female Mice.
Yu-Nu MA ; Chen-Chen ZHANG ; Ya-Xin SUN ; Xiao LIU ; Xue-Xin LI ; Han WANG ; Ting WANG ; Xiao-Dong WANG ; Yun-Ai SU ; Ji-Tao LI ; Tian-Mei SI
Neuroscience Bulletin 2025;41(2):243-260
Early-life stress (ES) leads to cognitive dysfunction in female adolescents, but the underlying neural mechanisms remain elusive. Recent evidence suggests that the cell adhesion molecules NECTIN1 and NECTIN3 play a role in cognition and ES-related cognitive deficits in male rodents. In this study, we aimed to investigate whether and how nectins contribute to ES-induced cognitive dysfunction in female adolescents. Applying the well-established limited bedding and nesting material paradigm, we found that ES impairs recognition memory, suppresses prefrontal NECTIN1 and hippocampal NECTIN3 expression, and upregulates corticotropin-releasing hormone (Crh) and its receptor 1 (Crhr1) mRNA levels in the hippocampus of adolescent female mice. Genetic experiments revealed that the reduction of dorsal CA1 (dCA1) NECTIN3 mediates ES-induced object recognition memory deficits, as knocking down dCA1 NECTIN3 impaired animals' performance in the novel object recognition task, while overexpression of dCA1 NECTIN3 successfully reversed the ES-induced deficits. Notably, prefrontal NECTIN1 knockdown did not result in significant cognitive impairments. Furthermore, acute systemic administration of antalarmin, a CRHR1 antagonist, upregulated hippocampal NECTIN3 levels and rescued object and spatial memory deficits in stressed mice. Our findings underscore the critical role of dCA1 NECTIN3 in mediating ES-induced object recognition memory deficits in adolescent female mice, highlighting it as a potential therapeutic target for stress-related psychiatric disorders in women.
Animals
;
Female
;
Mice
;
CA1 Region, Hippocampal/metabolism*
;
Cell Adhesion Molecules/metabolism*
;
CRF Receptor, Type 1/metabolism*
;
Memory Disorders/etiology*
;
Mice, Inbred C57BL
;
Nectins/genetics*
;
Receptors, Corticotropin-Releasing Hormone/antagonists & inhibitors*
;
Recognition, Psychology/physiology*
;
Stress, Psychological/complications*
8.Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly.
Ya-Ting AI ; Shi ZHOU ; Ming WANG ; Tao-Yun ZHENG ; Hui HU ; Yun-Cui WANG ; Yu-Can LI ; Xiao-Tong WANG ; Peng-Jun ZHOU
Journal of Integrative Medicine 2025;23(4):390-397
OBJECTIVE:
As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS).
METHODS:
This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA).
RESULTS:
The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS.
CONCLUSION
The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans
;
Cognitive Dysfunction/diagnosis*
;
Aged
;
Male
;
Female
;
Machine Learning
;
Spleen
;
Aged, 80 and over
;
Kidney
;
Medicine, Chinese Traditional
9.Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.
Xiao Yun HU ; Wei Xuan SHENG ; Kang YU ; Jie Tai DUO ; Peng Fei LIU ; Ya Wei LI ; Dong Xin WANG ; Hui Hui MIAO
Biomedical and Environmental Sciences 2025;38(3):328-340
OBJECTIVE:
This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
METHODS:
This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments.
RESULTS:
Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872.
CONCLUSION
We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged
;
Aged, 80 and over
;
Female
;
Humans
;
Male
;
Middle Aged
;
Cardiovascular Diseases/etiology*
;
Machine Learning
;
Postoperative Complications/etiology*
;
Risk Factors
;
Randomized Controlled Trials as Topic
;
Secondary Data Analysis
10.Design, synthesis and antidepressant activity of novel genipin derivatives
Hong-yan CHENG ; Dan-hui WANG ; Wen-jie ZHAO ; Tian-cheng WANG ; Wen-xue XU ; Cai-yun ZHANG ; Ya-nan ZHAO ; Yan-chun ZHANG
Acta Pharmaceutica Sinica 2024;59(9):2564-2573
The pathogenesis of depression is complex, and some existing monoamine antidepressants have problems such as drug resistance or off-target failure. Traditional Chinese medicine has the characteristics of "multi-component and multi-target", and has been used in the treatment of depression in clinical practice. Yueju pill is effective in the treatment of depression. Geniposide and ligustrazine, the active ingredients of Gardeniae fructus and Ligusticum sinense 'Chuanxiong', play a key role in the treatment of depression. In this study, based on the neuroprotective activity of genipin and the rapid antidepressant activity of tetramethylpyrazine, a series of novel genipin derivatives were designed and synthesized through pharmacophore assembly principle, and their neuroprotective activity and antidepressant effect were investigated. The results showed that the novel genipin derivatives had well neuroprotective activity on the glutamate-induced HT-22 cell model, with compounds W-1 and W-3 showing better protective activity. In behavioral despair depression (BDD) model mice, compound W-3 was found to have better antidepressant activity than W-1 in tail suspension test and forced swimming test. Further study on the behavior of chronic unpredictable mild stress (CUMS) model mice showed that W-3 could significantly improve the depression-like behavior of model mice. All animal experiments were approved by the Experimental Animal Ethics Committee of Anhui University of Chinese Medicine (approval number: AHUCM-mouse-2022027). The effects of the preferred compound W-3 on protein kinase A (PKA), cAMP response element binding protein (CREB), brain-derived neurotrophic factor (BDNF), 5-hydroxytryptamine 1A (5-HT1A) receptor,

Result Analysis
Print
Save
E-mail