1.CiteSpace-based analysis of research hotspots and trends in field of medical device utilization management
Hong-dan WANG ; Ben-xing ZHANG ; Xiao-xiao HE ; Zhen-wei DU
Chinese Medical Equipment Journal 2025;46(7):63-67
Scholarly articles published in the Web of Science database from January 1,2004 to November 10,2024 in the field of medical device utilization management were collected.CiteSpace-based bibliometric analysis of the included literature was performed in terms of the year of publication,region of publication,highly cited literature and highly cited journals and keywords.The Internet of Things(IoT),cloud computing and wearable devices were identified as the current research hotspots in the field of medical device utilization management.References were provided for further research related to medical device utilization management.[Chinese Medical Equipment Journal,2025,46(7):63-67]
2.Targeting PPARα for The Treatment of Cardiovascular Diseases
Tong-Tong ZHANG ; Hao-Zhuo ZHANG ; Li HE ; Jia-Wei LIU ; Jia-Zhen WU ; Wen-Hua SU ; Ju-Hua DAN
Progress in Biochemistry and Biophysics 2025;52(9):2295-2313
Cardiovascular disease (CVD) remains one of the leading causes of mortality among adults globally, with continuously rising morbidity and mortality rates. Metabolic disorders are closely linked to various cardiovascular diseases and play a critical role in their pathogenesis and progression, involving multifaceted mechanisms such as altered substrate utilization, mitochondrial structural and functional dysfunction, and impaired ATP synthesis and transport. In recent years, the potential role of peroxisome proliferator-activated receptors (PPARs) in cardiovascular diseases has garnered significant attention, particularly peroxisome proliferator-activated receptor alpha (PPARα), which is recognized as a highly promising therapeutic target for CVD. PPARα regulates cardiovascular physiological and pathological processes through fatty acid metabolism. As a ligand-activated receptor within the nuclear hormone receptor family, PPARα is highly expressed in multiple organs, including skeletal muscle, liver, intestine, kidney, and heart, where it governs the metabolism of diverse substrates. Functioning as a key transcription factor in maintaining metabolic homeostasis and catalyzing or regulating biochemical reactions, PPARα exerts its cardioprotective effects through multiple pathways: modulating lipid metabolism, participating in cardiac energy metabolism, enhancing insulin sensitivity, suppressing inflammatory responses, improving vascular endothelial function, and inhibiting smooth muscle cell proliferation and migration. These mechanisms collectively reduce the risk of cardiovascular disease development. Thus, PPARα plays a pivotal role in various pathological processes via mechanisms such as lipid metabolism regulation, anti-inflammatory actions, and anti-apoptotic effects. PPARα is activated by binding to natural or synthetic lipophilic ligands, including endogenous fatty acids and their derivatives (e.g., linoleic acid, oleic acid, and arachidonic acid) as well as synthetic peroxisome proliferators. Upon ligand binding, PPARα activates the nuclear receptor retinoid X receptor (RXR), forming a PPARα-RXR heterodimer. This heterodimer, in conjunction with coactivators, undergoes further activation and subsequently binds to peroxisome proliferator response elements (PPREs), thereby regulating the transcription of target genes critical for lipid and glucose homeostasis. Key genes include fatty acid translocase (FAT/CD36), diacylglycerol acyltransferase (DGAT), carnitine palmitoyltransferase I (CPT1), and glucose transporter (GLUT), which are primarily involved in fatty acid uptake, storage, oxidation, and glucose utilization processes. Advancing research on PPARα as a therapeutic target for cardiovascular diseases has underscored its growing clinical significance. Currently, PPARα activators/agonists, such as fibrates (e.g., fenofibrate and bezafibrate) and thiazolidinediones, have been extensively studied in clinical trials for CVD prevention. Traditional PPARα agonists, including fenofibrate and bezafibrate, are widely used in clinical practice to treat hypertriglyceridemia and low high-density lipoprotein cholesterol (HDL-C) levels. These fibrates enhance fatty acid metabolism in the liver and skeletal muscle by activating PPARα, and their cardioprotective effects have been validated in numerous clinical studies. Recent research highlights that fibrates improve insulin resistance, regulate lipid metabolism, correct energy metabolism imbalances, and inhibit the proliferation and migration of vascular smooth muscle and endothelial cells, thereby ameliorating pathological remodeling of the cardiovascular system and reducing blood pressure. Given the substantial attention to PPARα-targeted interventions in both basic research and clinical applications, activating PPARα may serve as a key therapeutic strategy for managing cardiovascular conditions such as myocardial hypertrophy, atherosclerosis, ischemic cardiomyopathy, myocardial infarction, diabetic cardiomyopathy, and heart failure. This review comprehensively examines the regulatory roles of PPARα in cardiovascular diseases and evaluates its clinical application value, aiming to provide a theoretical foundation for further development and utilization of PPARα-related therapies in CVD treatment.
3.Chinese Medicine for Treatment of COVID-19: A Review of Potential Pharmacological Components and Mechanisms.
Qian-Qian XU ; Dong-Dong YU ; Xiao-Dan FAN ; He-Rong CUI ; Qian-Qian DAI ; Xiao-Ying ZHONG ; Xin-Yi ZHANG ; Chen ZHAO ; Liang-Zhen YOU ; Hong-Cai SHANG
Chinese journal of integrative medicine 2025;31(1):83-95
Coronavirus disease 2019 (COVID-19) is an acute infectious respiratory disease that has been prevalent since December 2019. Chinese medicine (CM) has demonstrated its unique advantages in the fight against COVID-19 in the areas of disease prevention, improvement of clinical symptoms, and control of disease progression. This review summarized the relevant material components of CM in the treatment of COVID-19 by searching the relevant literature and reports on CM in the treatment of COVID-19 and combining with the physiological and pathological characteristics of the novel coronavirus. On the basis of sorting out experimental methods in vivo and in vitro, the mechanism of herb action was further clarified in terms of inhibiting virus invasion and replication and improving related complications. The aim of the article is to explore the strengths and characteristics of CM in the treatment of COVID-19, and to provide a basis for the research and scientific, standardized treatment of COVID-19 with CM.
Humans
;
Drugs, Chinese Herbal/pharmacology*
;
COVID-19 Drug Treatment
;
SARS-CoV-2/drug effects*
;
COVID-19/therapy*
;
Medicine, Chinese Traditional/methods*
;
Antiviral Agents/pharmacology*
;
Animals
4.Quality changes of volatile oil and chlorogenic acid compounds during extraction process of Artemisiae Argyi Folium: process analysis based on chemical composition, physicochemical properties, and biological activity.
Dan-Dan YANG ; Hao-Zhou HUANG ; Xin-Ming CHEN ; Lin HUANG ; Ya-Nan HE ; Zhen-Feng WU ; Xiao-Ming BAO ; Ding-Kun ZHANG ; Ming YANG
China Journal of Chinese Materia Medica 2025;50(11):3001-3012
To explore the variation laws of volatile oil during the extraction process of Artemisiae Argyi Folium and its impact on the quality of the medicinal solution, as well as to achieve precise control of the extraction process, this study employed headspace solid phase microextraction gas chromatography-mass spectrometry(HS-SPME-GC-MS) in combination with multiple light scattering techniques to conduct a comprehensive analysis, identification, and characterization of the changes in volatile components and the physical properties of the medicinal solution during the extraction process. A total of 82 volatile compounds were identified using the HS-SPME-GC-MS technique, including 21 alcohols, 15 alkenes, 14 ketones, 9 acids, 6 aldehydes, 5 phenols, 3 esters, and 9 other types of compounds. At different extraction time points(15, 30, 45, and 60 min), 71, 72, 64, and 44 compounds were identified in the medicinal solution, respectively. It was observed that the content of volatile components gradually decreased with the extension of extraction time. Through multivariate statistical analysis, four compounds with significant differences during different extraction time intervals were identified, namely 1,8-cineole, terpinen-4-ol, 3-octanone, and camphor. RESULTS:: from multiple light scattering techniques indicated that at 15 minutes of extraction, the transmittance of the medicinal solution was the lowest(25%), the particle size was the largest(0.325-0.350 nm), and the stability index(turbiscan stability index, TSI) was the highest(0-2.5). With the extension of extraction time, the light transmittance of the medicinal solution improved, stability was enhanced, and the particle size decreased. These laws of physicochemical property changes provide important basis for the control of Artemisiae Argyi Folium extraction process. In addition, the changes in the bioactivity of Artemisiae Argyi Folium extracts during the extraction process were investigated through mouse writhing tests and antimicrobial assays. The results indicated that the analgesic and antimicrobial effects of the medicinal solution were strongest at the 15-minute extracting point. In summary, the findings of this study demonstrate that the content of volatile oil in Artemisiae Argyi Folium extracts gradually decreases with the extension of extraction time, and the variation in volatile oil content directly influences the physicochemical properties and pharmacological efficacy of the medicinal solution. This discovery provides important scientific reference for the optimization of Artemisiae Argyi Folium extraction processes and the development and application of process analytical technologies.
Oils, Volatile/pharmacology*
;
Artemisia/chemistry*
;
Gas Chromatography-Mass Spectrometry
;
Drugs, Chinese Herbal/pharmacology*
;
Chlorogenic Acid/pharmacology*
;
Solid Phase Microextraction
;
Quality Control
5.Identification and expression analysis of AP2/ERF family members in Lonicera macranthoides.
Si-Min ZHOU ; Mei-Ling QU ; Juan ZENG ; Jia-Wei HE ; Jing-Yu ZHANG ; Zhi-Hui WANG ; Qiao-Zhen TONG ; Ri-Bao ZHOU ; Xiang-Dan LIU
China Journal of Chinese Materia Medica 2025;50(15):4248-4262
The AP2/ERF transcription factor family is a class of transcription factors widely present in plants, playing a crucial role in regulating flowering, flower development, flower opening, and flower senescence. Based on transcriptome data from flower, leaf, and stem samples of two Lonicera macranthoides varieties, 117 L. macranthoides AP2/ERF family members were identified, including 14 AP2 subfamily members, 61 ERF subfamily members, 40 DREB subfamily members, and 2 RAV subfamily members. Bioinformatics and differential gene expression analyses were performed using NCBI, ExPASy, SOMPA, and other platforms, and the expression patterns of L. macranthoides AP2/ERF transcription factors were validated via qRT-PCR. The results indicated that the 117 LmAP2/ERF members exhibited both similarities and variations in protein physicochemical properties, AP2 domains, family evolution, and protein functions. Differential gene expression analysis revealed that AP2/ERF transcription factors were primarily differentially expressed in the flowers of the two L. macranthoides varieties, with the differentially expressed genes mainly belonging to the ERF and DREB subfamilies. Further analysis identified three AP2 subfamily genes and two ERF subfamily genes as potential regulators of flower development, two ERF subfamily genes involved in flower opening, and two ERF subfamily genes along with one DREB subfamily gene involved in flower senescence. Based on family evolution and expression analyses, it is speculated that AP2/ERF transcription factors can regulate flower development, opening, and senescence in L. macranthoides, with ERF subfamily genes potentially serving as key regulators of flowering duration. These findings provide a theoretical foundation for further research into the specific functions of the AP2/ERF transcription factor family in L. macranthoides and offer important theoretical insights into the molecular mechanisms underlying floral phenotypic differences among its varieties.
Plant Proteins/chemistry*
;
Gene Expression Regulation, Plant
;
Transcription Factors/chemistry*
;
Lonicera/classification*
;
Flowers/metabolism*
;
Phylogeny
;
Gene Expression Profiling
;
Multigene Family
6.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
7.CiteSpace-based analysis of research hotspots and trends in field of medical device utilization management
Hong-dan WANG ; Ben-xing ZHANG ; Xiao-xiao HE ; Zhen-wei DU
Chinese Medical Equipment Journal 2025;46(7):63-67
Scholarly articles published in the Web of Science database from January 1,2004 to November 10,2024 in the field of medical device utilization management were collected.CiteSpace-based bibliometric analysis of the included literature was performed in terms of the year of publication,region of publication,highly cited literature and highly cited journals and keywords.The Internet of Things(IoT),cloud computing and wearable devices were identified as the current research hotspots in the field of medical device utilization management.References were provided for further research related to medical device utilization management.[Chinese Medical Equipment Journal,2025,46(7):63-67]
8.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
9.Catalpol from Rehmannia glutinosa regulates senescence in ATDC5 chondrocytes
Ruiying JIA ; Jie MEI ; Qiang HE ; Dan LI ; Xin SUN ; Weiqing QIAN ; Zhen LIU
Chinese Journal of Tissue Engineering Research 2024;28(34):5467-5472
BACKGROUND:The results of in vivo and in vitro studies showed that catalpol from Rehmannia glutinosa can significantly reduce the level of inflammatory indexes in the synovial tissue of rats with knee osteoarthritis,and meanwhile,it can delay the progression of knee osteoarthritis.But whether catalpol from Rehmannia glutinosa affects chondrocyte senescence and then delay the progression of knee osteoarthritis has not yet been clarified. OBJECTIVE:To investigate investigate whether catalpol from Rehmannia glutinosa could regulate ATDC5 chondrocyte senescence and the possible mechanisms. METHODS:ATDC5 chondrocytes were divided into blank group(0.1%bovine serum albumin),model group(0.1%bovine serum albumin+1 μmol/L adriamycin),low-dose catalpol group(0.1%bovine serum albumin+1 μmol/L adriamycin+20 μmol/L catalpol from Rehmannia glutinosa)and high-dose catalpol group(0.1%bovine serum albumin+1 μmol/L adriamycin+80 μmol/L catalpol from Rehmannia glutinosa).Adriamycin-induced ATDC5 chondrocyte senescence model was constructed,and the corresponding treatments were given according to the above groups.Cell counting kit-8 assay was used to detect the effects of catalpol from Rehmannia glutinosa on ATDC5 chondrocyte viability,and to screen the optimal concentration of catalpol from Rehmannia glutinosa.The senescence of ATDC5 chondrocytes in each group was detected by β-galactosidase staining after the corresponding treatments.Real-time fluorescence quantitative PCR and western blot were used to detect the mRNA and protein expression of P21,P53,type II collagen,matrix metalloproteinase 13,and interleukin-6.Immunofluorescence method was used to detect the expression of P21,P53 and type II collagen.Flow cytometry was used to detect apoptosis in each group. RESULTS AND CONCLUSION:ATDC5 chondrocytes were identified to be successfully induced and senescence model was induced.Catalpol from Rehmannia glutinosa at the concentrations of 0,20,40,and 80 μmol/L showed no significant effects on the cell viability,suggesting that catalpol from Rehmannia glutinosa is non-cytotoxic and can be used safely(P>0.05);when the concentration was≥100 μmol/L,the cell viability was reduced,suggesting that there may be cytotoxic.Therefore,80 μmol/L was chosen as the high dose for subsequent experiments in this study.The percentage of positive cells in the model group was(86.93±2.18)%,which was significantly higher than that in the blank group[(17.32±0.72)%;P<0.05].Compared with the model group,the percentage of positive cells was significantly lower in the low-and high-dose catalpol groups[(57.28±1.73)%and(27.18±0.97)%,respectively;both P<0.05].Compared with the model group,the relative expression of P21,P53,matrix metalloproteinase 13,and interleukin-6 at mRNA and protein levels was significantly downregulated in the low-and high-dose catalpol groups,while the relative expression of type II collagen at mRNA and protein levels was significantly upregulated in both groups(P<0.05),especially in the high-dose catalpol group(P<0.05).Compared with the model group,the fluorescence intensities of P21 and P53 were significantly weakened in the low-and high-dose catalpol groups,while the fluorescence intensity of type II collagen was significantly enhanced in the low-and high-dose catalpol groups(P<0.05),especially in the high-dose catalpol group(P<0.05).The cell apoptosis detected by Annexin V/PI method showed that there was no significant difference between the model group and the blank group(P>0.05);compared with the model group,the apoptotic index was significantly elevated in the low-and high-dose catalpol groups,especially in the high-dose catalpol group(P<0.05).To conclude,catalpol from Rehmannia glutinosa can slow the progression of osteoarthritis by promoting apoptosis of senescent ATDC5 chondrocytes,further removing senescent ATDC5 chondrocytes,and decreasing the senescence-associated phenotypes.
10.ARIMA model-based usage data prediction and configuration optimization scheme for medical sutures
Hong-Dan WANG ; Ning-Rui ZHANG ; Zhen-Wei DU ; Li YANG ; He-Hua ZHANG
Chinese Medical Equipment Journal 2024;45(8):73-77
Objective To explore the factors affecting the use of medical sutures in medical institutions based on the autore-gressive integrated moving average(ARIMA)model so as to provide basis and optimization strategy for the rational use of medical sutures in medical institutions.Methods The monthly usage amount of medical sutures in some hospital from January 2014 to November 2023 was used as the research subject.An ARIMA model was established by R language,with the data on medical suture usage amount from January 2014 to December 2018 used as the training set;the reliability of the ARIMA model was verified with the data on medical suture usage amount from January to December 2019 as the validation set.The monthly usage amount of medical sutures from January 2021 to November 2023 was predicted with the validated ARIMA model,then the predictive value was compared with the actual one to evaluate the benefits of implementing the medical suture optimization policy in January 2021.Results The established ARIMA model passed the white noise test(P>0.05),and the difference between the predicted and actual values for the whole year of 2019 was not statistically significant(P>0.05);after the implementation of the medical suture optimization policy,the actual usage amount of medical sutures in some hospital decreased.The actual value from January 2021 to November 2023 was much lower than the predicted value,and the difference was statistically significant(P<0.05).Conclusion The ARIMA model-based medical suture usage data prediction and configuration optimization scheme contributes to clarifying the law of medical suture usage in some hospital,and provides references for optimization and precision managment of medical suture configuration.[Chinese Medical Equipment Journal,2024,45(8):73-77]

Result Analysis
Print
Save
E-mail