1.Comprehensive Evaluation of Acupuncture for Secondary Dysmenorrhea Based on Health Technology Assessment
Xue WU ; Zhiran LI ; Jing HU ; Xing LIAO ; Weiwei SUN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(9):165-174
		                        		
		                        			
		                        			ObjectiveTo carry out a health technology assessment (HTA) of acupuncture for secondary dysmenorrhea (SD) caused by adenomyosis and endometriosis, in order to provide a reference for relevant medical decision-making. MethodsFrom the perspective of the health system, the assessment covers seven areas, including the technical characteristics, safety, effectiveness, economics, ethical fairness, organizational adaptability, and impact on patients and society. The results are reported accordingly. ResultsThe operational specifications of acupuncture are standardized, and the conditions for its use are clearly defined. Acupuncture has a lower overall incidence of adverse events. The main adverse events are localized pain, subcutaneous bleeding, and dizziness, with most symptoms being mild, all of which have corresponding standard treatments. No reports on occupational or environmental safety were found, and the safety operation specifications are available for reference. Compared with conventional Western medicine, acupuncture demonstrates higher effectiveness. Acupuncture may improve the quality of life scores of patients, though no significant difference was observed. The cost of acupuncture is higher than that of conventional Western medicine, but its overall economic value is greater. The informed consent information is relatively comprehensive. Most patients are aware of the potential benefits and risks of acupuncture and voluntarily opt for it. The treatment process fully respects patient privacy and human rights. The clinical application of acupuncture follows the current acupuncture medical service model, with no special requirements for the level of medical institutions. Patient accessibility and affordability are suitable. Patient satisfaction is high. Most patients indicated they would choose acupuncture again for SD. The main barriers to choosing acupuncture are psychological factors (such as fear of acupuncture), cost, and transportation issues. Nearly 70% of patients receiving acupuncture treatment benefit from medical insurance reimbursement, with reimbursement rates generally above 50%, indicating strong social security support. ConclusionThe implementation of HTA for acupuncture in the treatment of SD, using the standards for traditional Chinese medicine (TCM), is feasible. The implementation steps are clear, the data sources for each evaluation domain are adequate, the analysis methods are practical, and the evaluation results are comprehensive. Experts recommend that the findings be used as a reference for relevant medical decision-making. 
		                        		
		                        		
		                        		
		                        	
2.Effects of Tongmai Yangxin Pills (通脉养心丸) on Arrhythmia and K+/Ca2+ Channel-Related Proteins and Gene Expression in Myocardial Tissue of Ischemia-Reperfusion Model Rats
Zuoying XING ; Yucai HU ; Huanhuan SONG ; Boyong QIU ; Yankun SONG ; Yongxia WANG
Journal of Traditional Chinese Medicine 2025;66(8):851-859
		                        		
		                        			
		                        			ObjectiveTo investigate the effects and potential mechanisms of Tongmai Yangxin Pills (通脉养心丸) (TYPs) in preventing ischemia-reperfusion (I/R)-induced arrhythmia. MethodsSixty male SD rats were randomly assigned to sham operation group, model group, amiodarone group, low-dose and high-dose TYPs group, with 12 rats in each group. The sham operation group and the model group received 10 g/(kg·d) normal saline by gavage, the amiodarone group received 60 mg/(kg·d) amiodarone, and the low-dose and high-dose TMP groups received 1 g/(kg·d) and 2 g/(kg·d) TYPs solution respectively, for 21 days, administered twice daily. On the day after the last administration, the I/R model was established in the model and medication groups by ligation of the left anterior descending coronary artery with a cannula, while the sham operation group underwent the same procedure without ligation. Electrocardiogram recordings were continuously monitored throughout the modeling process. Heart rate was recorded at five time points, before ischemia (t-0), 5-10 min after ischemia (t-1), 10-15 min after ischemia (t-2), 15-30 min after ischemia (t-3), and during the first 2 min of reperfusion (t-4); the incidence of arrhythmia including ventricular premature beats (VPB), ventricular tachycardia (VT), and ventricular fibrillation (VF) was recorded; arrhythmia scores were calculated. After 24 hours of reperfusion, left ventricular myocardial tissue was collected. Hematoxylin-eosin (HE) staining was performed to observe pathological changes. RT-PCR was used to detect the mRNA expression of microRNA-1 (miRNA-1), microRNA-133a (miRNA-133a), and potassium (K+) and calcium (Ca2+) ion channel-related genes including KCND2, KCNH2, KCNE2, KCNQ1, KCNE1, KCNJ2, CACNA1C, and CACNB1. Western blot analysis was used to measure protein levels of transient outward potassium current protein (Kv4.2), rapidly activating delayed rectifier potassium current protein (HERG), slowly activating delayed rectifier potassium current protein (KvLQT1), inward rectifier potassium current protein (Kir2.1), and L-type calcium channel protein (Cav1.2). ResultsCompared with sham operation group, the model group showed diffuse myocardial hemorrhage, inflammatory cell infiltration, myocardial necrosis, nuclear pyknosis, vacuolar degeneration, and disrupted myocardial fibers; the model group also exhibited a decreased heart rate (t-1 to t-4), increased arrhythmia scores, elevated miRNA-1 and miRNA-133a expression, and decreased mRNA expression of KCND2, KCNH2, KCNE2, KCNQ1, KCNE1, KCNJ2, CACNA1C, and CACNB1 in myocardial tissue; additionally, Kv4.2, HERG, KvLQT1, Kir2.1, and Cav1.2 protein levels significantly reduced (P<0.01). Compared to the model group, all medication-treated groups showed reduced myocardial damage, including less hemorrhage, reduced inflammatory infiltration, and improved myocardial structure, with the high-dose TYPs group exhibiting the most significant improvement; the amiodarone group and high-dose TYPs group showed a significant increase in heart rate (t-1 to t-4), lower arrhythmia scores, reduced miRNA-1 and miRNA-133a expression; the high-dose TYPs group exhibited significantly increased mRNA expression levels of KCND2, KCNH2, KCNQ1, KCNJ2, and CACNA1C, as well as elevated protein levels of Kv4.2, HERG, KvLQT1, Kir2.1, and Cav1.2 (P<0.05 or P<0.01). ConclusionTMPs can improve myocardial damage and reduce the incidence of ventricular arrhythmia in I/R rats. The underlying mechanism may be related to the downregulation of miRNA-1 and miRNA-133a gene expression, as well as the upregulation of K+ and Ca2+ channel-related genes and proteins. 
		                        		
		                        		
		                        		
		                        	
3.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
		                        		
		                        			 Purpose:
		                        			The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). 
		                        		
		                        			Materials and Methods:
		                        			Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. 
		                        		
		                        			Results:
		                        			A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. 
		                        		
		                        			Conclusion
		                        			USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients. 
		                        		
		                        		
		                        		
		                        	
4.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
		                        		
		                        			 Purpose:
		                        			The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). 
		                        		
		                        			Materials and Methods:
		                        			Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. 
		                        		
		                        			Results:
		                        			A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. 
		                        		
		                        			Conclusion
		                        			USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients. 
		                        		
		                        		
		                        		
		                        	
5.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
		                        		
		                        			 Purpose:
		                        			The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). 
		                        		
		                        			Materials and Methods:
		                        			Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. 
		                        		
		                        			Results:
		                        			A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. 
		                        		
		                        			Conclusion
		                        			USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients. 
		                        		
		                        		
		                        		
		                        	
6.The Connotation and Application of Toxicity Theory in Traditional Chinese Medicine from the Perspective of The Inner Canon of Yellow Emperor (《黄帝内经》)
Xiyan ZHANG ; Yurui XING ; Cuijuan LI ; Yong HU
Journal of Traditional Chinese Medicine 2025;66(15):1517-1521
		                        		
		                        			
		                        			Based on the theory of toxin in The Inner Canon of Yellow Emperor (《黄帝内经》), this paper explores the concept and connotation of toxin from several aspects, including medicinal toxicity, pathogenic toxicity, pathoge-nesis and treatment of toxin pathogen. It explores the mechanism and significance of using toxin substances in curing and inducing diseases, sorts out the etiological and pathological evolution of toxic pathogens, clarifies the derivation and differentiation process from external toxins to internal toxins, and elucidates the interactions between toxin and other pathogenic factors such as phlegm, stasis, dampness, and fire. It further distinguishes the logical hierarchy of toxin caused by metabolic disorders such as sugar, fat, and drowning, clarifies that the essence of the etiology of "hidden toxin", and determines the corresponding treatment principles and methods for toxic pathogens. It establishes a theoretical framework of traditional Chinese medicine toxic pathogen theory, providing theoretical basis for the clinical treatment of many diseases. 
		                        		
		                        		
		                        		
		                        	
7.Biallelic variants in RBM42 cause a multisystem disorder with neurological, facial, cardiac, and musculoskeletal involvement.
Yiyao CHEN ; Bingxin YANG ; Xiaoyu Merlin ZHANG ; Songchang CHEN ; Minhui WANG ; Liya HU ; Nina PAN ; Shuyuan LI ; Weihui SHI ; Zhenhua YANG ; Li WANG ; Yajing TAN ; Jian WANG ; Yanlin WANG ; Qinghe XING ; Zhonghua MA ; Jinsong LI ; He-Feng HUANG ; Jinglan ZHANG ; Chenming XU
Protein & Cell 2024;15(1):52-68
		                        		
		                        			
		                        			Here, we report a previously unrecognized syndromic neurodevelopmental disorder associated with biallelic loss-of-function variants in the RBM42 gene. The patient is a 2-year-old female with severe central nervous system (CNS) abnormalities, hypotonia, hearing loss, congenital heart defects, and dysmorphic facial features. Familial whole-exome sequencing (WES) reveals that the patient has two compound heterozygous variants, c.304C>T (p.R102*) and c.1312G>A (p.A438T), in the RBM42 gene which encodes an integral component of splicing complex in the RNA-binding motif protein family. The p.A438T variant is in the RRM domain which impairs RBM42 protein stability in vivo. Additionally, p.A438T disrupts the interaction of RBM42 with hnRNP K, which is the causative gene for Au-Kline syndrome with overlapping disease characteristics seen in the index patient. The human R102* or A438T mutant protein failed to fully rescue the growth defects of RBM42 ortholog knockout ΔFgRbp1 in Fusarium while it was rescued by the wild-type (WT) human RBM42. A mouse model carrying Rbm42 compound heterozygous variants, c.280C>T (p.Q94*) and c.1306_1308delinsACA (p.A436T), demonstrated gross fetal developmental defects and most of the double mutant animals died by E13.5. RNA-seq data confirmed that Rbm42 was involved in neurological and myocardial functions with an essential role in alternative splicing (AS). Overall, we present clinical, genetic, and functional data to demonstrate that defects in RBM42 constitute the underlying etiology of a new neurodevelopmental disease which links the dysregulation of global AS to abnormal embryonic development.
		                        		
		                        		
		                        		
		                        			Female
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		                        			Animals
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		                        			Mice
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		                        			Humans
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		                        			Child, Preschool
		                        			;
		                        		
		                        			Intellectual Disability/genetics*
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		                        			Heart Defects, Congenital/genetics*
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		                        			Facies
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		                        			Cleft Palate
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		                        			Muscle Hypotonia
		                        			
		                        		
		                        	
8.High-throughput screening of novel TFEB agonists in protecting against acetaminophen-induced liver injury in mice.
Xiaojuan CHAO ; Mengwei NIU ; Shaogui WANG ; Xiaowen MA ; Xiao YANG ; Hua SUN ; Xujia HU ; Hua WANG ; Li ZHANG ; Ruili HUANG ; Menghang XIA ; Andrea BALLABIO ; Hartmut JAESCHKE ; Hong-Min NI ; Wen-Xing DING
Acta Pharmaceutica Sinica B 2024;14(1):190-206
		                        		
		                        			
		                        			Macroautophagy (referred to as autophagy hereafter) is a major intracellular lysosomal degradation pathway that is responsible for the degradation of misfolded/damaged proteins and organelles. Previous studies showed that autophagy protects against acetaminophen (APAP)-induced injury (AILI) via selective removal of damaged mitochondria and APAP protein adducts. The lysosome is a critical organelle sitting at the end stage of autophagy for autophagic degradation via fusion with autophagosomes. In the present study, we showed that transcription factor EB (TFEB), a master transcription factor for lysosomal biogenesis, was impaired by APAP resulting in decreased lysosomal biogenesis in mouse livers. Genetic loss-of and gain-of function of hepatic TFEB exacerbated or protected against AILI, respectively. Mechanistically, overexpression of TFEB increased clearance of APAP protein adducts and mitochondria biogenesis as well as SQSTM1/p62-dependent non-canonical nuclear factor erythroid 2-related factor 2 (NRF2) activation to protect against AILI. We also performed an unbiased cell-based imaging high-throughput chemical screening on TFEB and identified a group of TFEB agonists. Among these agonists, salinomycin, an anticoccidial and antibacterial agent, activated TFEB and protected against AILI in mice. In conclusion, genetic and pharmacological activating TFEB may be a promising approach for protecting against AILI.
		                        		
		                        		
		                        		
		                        	
9. Lycium barbarian seed oil activates Nrf2/ARE pathway to reduce oxidative damage in testis of subacute aging rats
Rui-Ying TIAN ; Wen-Xin MA ; Zi-Yu LIU ; Hui-Ming MA ; Sha-Sha XING ; Na HU ; Chang LIU ; Biao MA ; Jia-Yang LI ; Hu-Jun LIU ; Chang-Cai BAI ; Dong-Mei CHEN
Chinese Pharmacological Bulletin 2024;40(3):490-498
		                        		
		                        			
		                        			 Aim To explore the effects of Lycium berry seed oil on Nrf2/ARE pathway and oxidative damage in testis of subacute aging rats. Methods Fifty out of 60 male SD rats, aged 8 weeks, were subcutaneously injected with 125 mg • kg"D-galactosidase in the neck for 8 weeks to establish a subacute senescent rat model. The presence of senescent cells was observed using P-galactosidase ((3-gal), while testicular morphology was examined using HE staining. Serum levels of testosterone (testosterone, T), follicle-stimulating hormone ( follicle stimulating hormone, FSH ) , luteinizing hormone ( luteinizing hormone, LH ) , superoxide dis-mutase ( superoxide dismutase, SOD ) , glutathione ( glutathione, GSH) and malondialdehyde ( malondial-dehyde, MDA) were measured through ELISA, and the expressions of factors related to aging, oxidative damage, and the Nrf2/ARE pathway were assessed via immunohistochemical analysis and Western blotting. Results After successfully identifying the model, the morphology of the testis was improved and the intervention of Lycium seed oil led to a down-regulation in the expression of [3-gal and -yH2AX. The serum levels of SOD, GSH, T, and FSH increased while MDA and LH decreased (P 0. 05) . Additionally, there was an up-regulated expression of Nrf2, GCLC, NQOl, and SOD2 proteins in testicular tissue ( P 0. 05 ) and nuclear expression of Nrf2 in sertoli cells. Conclusion Lycium barbarum seed oil may reduce oxidative damage in testes of subacute senescent rats by activating the Nrf2/ARE signaling pathway. 
		                        		
		                        		
		                        		
		                        	
10.Current Situation of Health Technology Assessment in Traditional Chinese Medicine Hospitals
Simin XU ; Hui ZHAO ; Jing HU ; Zhaolan LIU ; Weiwei SUN ; Xing LIAO
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(4):190-197
		                        		
		                        			
		                        			ObjectiveThis study aims to understand the recognition of practitioners in traditional Chinese medicine (TCM) hospitals on hospital-based health technology assessment (HB-HTA), assessment needs, challenges, and suggestions, so as to provide references for the future work. MethodThe convenient sampling method was adopted to survey the relevant practitioners in TCM hospitals. The questionnaire included 39 questions in 4 dimensions and was distributed through the online platform Weijuanxing. ResultA total of 244 questionnaires were recovered, and the obtained data were analyzed in SPSS. The results showed that 137 practitioners were very familiar with HB-HTA and there was no significant difference in the recognition of practitioners in different occupations (F=0.251; P=0.778). The practitioners in Hong Kong, Macao, and Taiwan had lower recognition than those in other regions. In terms of the assessment needs, 127 practitioners believed that it was very necessary to carry out HB-HTA in TCM hospitals in the future. Chinese patent medicines/Chinese herbal medicine decoction pieces (5.91) and TCM appropriate technology (5.57) had higher assessment priority scores. The assessment needs were high for the effectiveness (235 practitioners) and safety (224 practitioners) of health technology. The lack of specialized organization and standardized evaluation process system and the shortage of talents were considered to be the major challenges for the future development in this field. ConclusionThe stakeholders carrying out the health technology assessment in TCM hospitals had certain awareness of HB-HTA. Most practitioners believed that it was necessary to carry out HB-HTA in TCM hospitals in the future, while the work might face challenges such as the lack of organizations and system and the shortage of talents, which requires policy support. 
		                        		
		                        		
		                        		
		                        	
            
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