1.Interpretation of "Use of artificial intelligence in improving outcomes in heart disease: A scientific statement from the American Heart Association"
Jinhua CHEN ; Heng ZHANG ; Zhe ZHENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(07):919-929
Currently, the academic community, industry, and governmental institutions worldwide are dedicated to developing and applying artificial intelligence and other advanced analytical tools to drive the transformation of healthcare services. However, there are still many challenges, with only a few artificial intelligence tools having achieved sufficient effectiveness in improving clinical outcomes for cardiovascular diseases and strokes to be widely used. In response, the American Heart Association has formulated related scientific statements outlining the latest research developments in artificial intelligence algorithms and data science for the diagnosis, classification, and treatment of cardiovascular diseases. These statements also summarize the current best practices, research gaps, and existing challenges of artificial intelligence tools, aiming to promote the development of this field. This article interprets this scientific statement in conjunction with the relevant research practices of the author's team.
2.Efficacy and safety of upadacitinib through 140 weeks in Chinese adult and adolescent patients with moderate-to-severe atopic dermatitis: Post hoc analysis of the phase 3 Measure Up 1 and AD Up clinical trials.
Li ZHANG ; Jinhua XU ; Chaoying GU ; Min ZHENG ; Meng PAN ; Linfeng LI ; Michael LANE ; Andrew PLATT ; Shereen HAMMAD ; Qichen FAN ; Xinghua GAO
Chinese Medical Journal 2025;138(13):1633-1634
3.Study on the mechanism of apoptosis mediated by acid sensitive ion channel 1 through extracellular signal regulation of kinase 5 signaling pathway and mitochondrial disorder pathway.
Xian-Fang LUO ; Zheng-Yue JIN ; Chi ZHANG
China Journal of Orthopaedics and Traumatology 2025;38(3):298-305
OBJECTIVE:
To explore mechanisms of acid-sensing ion channel 1 (ASIC1) mediated lumbar nucleus pulposus cell apoptosis through extracellular-signalregulated protein kinase 5 (ERK5) signaling pathway and mitochondrial dysfunction pathway.
METHODS:
Totally 34 patients with degenerative lumbar disc herniation (LDH) admitted from January 2020 to December 2022 were collected as research objects, including 21 males and 13 females;aged from 29 to 52 years old with an average of (37.43±4.75) years old;22 patients with grade Ⅱ and 12 patients with grade Ⅳ, according to Pfirrmann grading criteria;15 patients with L4,5 and 19 patients with L5S1. The expression of ASIC1 in nucleus pulposus of LDH patients was measured by immunohistochemical staining. Nucleus pulposus cells were cultured by primary culture method, identified by toluidine blue staining and immunohistochemical staining, and the expression of ASIC1 protein was located by immunofluorescence staining. According to the addition of siRNA-ASIC1, ASIC1 overexpression plasmid, and ERK5 inhibitors, the nucleus pulpocyte was divided into three groups, named as SIRNA-silenced group, overexpression group, and inhibitor group, with 3 patients in each group. Cells of each group were collected at 72 h after intervention, expression of ASIC1, ERK5, BCL-xL/BCL-2-associated Death promoter (Bad), B-cell lymphoma-2 associated X (Bax) and B-cell lymphoblast-2 gene (Bcl-2) were detected by reverse transcription-polymerase chain reaction (RT-PCR);intracellular calcium ion levels were detected by calcium ion kit, mitochondrial membrane potential was detected by JC-1 kit, and apoptosis was observed by AV-PI kit.
RESULTS:
In LDH patients with grade Ⅳ, nucleus pulposus tissue removed during operation revealed poor elasticity, white color and poor ductility, and immunohistochemical results showed increased ASIC1 expression. There was no significant difference in mRNA relative expression of ASIC1 between siRNA silencing group (0.31±0.03) and inhibitor group (0.39±0.05) (P>0.05). The mRNA relative expression level of ERK5 in siRNA silencing group(0.32±0.05) was significantly higher than that in inhibitor group (0.15±0.04)(P<0.05), which suggested ERK5 was the downstream molecule of ASIC1. The mRNA relative expression levels of apoptosis promoting factor Bad and Bax in siRNA silencing group and inhibitor group were lower than those in overexpression group(P<0.05), the relative expression level of anti-apoptosis factor Bcl-2 mRNA was significantly increased (P<0.05). The calcium content in overexpression group was higher than that in siRNA silencing and inhibitor groups (P<0.05), the normal proportion of mitochondrial membrane potential in overexpression group was lower than that in siRNA silencing and inhibitor group (P<0.05), and the apoptosis rate in overexpression group was higher than that in siRNA silencing and inhibitor group (P<0.05).
CONCLUSION
After the activation of ASIC1 channel protein, calcium ions could enter the cells and act as a second messenger molecule to regulate apoptosis of nucleus pulposus cells by ERK5 signaling pathway and mitochondrial disorder pathway.
Humans
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Acid Sensing Ion Channels/physiology*
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Male
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Female
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Apoptosis
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Middle Aged
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Adult
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Signal Transduction
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Mitogen-Activated Protein Kinase 7/physiology*
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Mitochondrial Diseases/genetics*
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Nucleus Pulposus/metabolism*
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Intervertebral Disc Degeneration/metabolism*
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Mitochondria/metabolism*
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Intervertebral Disc Displacement/genetics*
4.Strychni Semen and its active compounds promote axon regeneration following peripheral nerve injury by suppressing myeloperoxidase in the dorsal root ganglia.
Yan ZHANG ; Xin-Yue ZHAO ; Meng-Ting LIU ; Zhu-Chen ZHOU ; Hui-Bin CHENG ; Xu-Hong JIANG ; Yan-Rong ZHENG ; Zhong CHEN
Journal of Integrative Medicine 2025;23(2):169-181
OBJECTIVE:
Treating peripheral nerve injury (PNI) presents a clinical challenge due to limited axon regeneration. Strychni Semen, a traditional Chinese medicine, is clinically used for numbness and hemiplegia. However, its role in promoting functional recovery after PNI and the related mechanisms have not yet been systematically studied.
METHODS:
A mouse model of sciatic nerve crush (SNC) injury was established and the mice received drug treatment via intragastric gavage, followed by behavioral assessments (adhesive removal test, hot-plate test and Von Frey test). Transcriptomic analyses were performed to examine gene expression in the dorsal root ganglia (DRGs) from the third to the sixth lumbar vertebrae, so as to identify the significantly differentially expressed genes. Immunofluorescence staining was used to assess the expression levels of superior cervical ganglia neural-specific 10 protein (SCG10). The ultra-trace protein detection technique was used to evaluate changes in gene expression levels.
RESULTS:
Strychni Semen and its active compounds (brucine and strychnine) improved functional recovery in mice following SNC injury. Transcriptomic data indicated that Strychni Semen and its active compounds initiated transcriptional reprogramming that impacted cellular morphology and extracellular matrix remodeling in DRGs after SNC, suggesting potential roles in promoting axon regeneration. Imaging data further confirmed that Strychni Semen and its active compounds facilitated axon regrowth in SNC-injured mice. By integrating protein-protein interaction predictions, ultra-trace protein detection, and molecular docking analysis, we identified myeloperoxidase as a potentially critical factor in the axon regenerative effects conferred by Strychni Semen and its active compounds.
CONCLUSION
Strychni Semen and its active compounds enhance sensory function by promoting axonal regeneration after PNI. These findings establish a foundation for the future applications of Strychni Semen and highlight novel therapeutic strategies and drug targets for axon regeneration. Please cite this article as: Zhang Y, Zhao XY, Liu MT, Zhou ZC, Cheng HB, Jiang XH, Zheng YR, Chen Z. Strychni Semen and its active compounds promote axon regeneration following peripheral nerve injury by suppressing myeloperoxidase in the dorsal root ganglia. J Integr Med. 2025; 23(2): 169-181.
Animals
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Nerve Regeneration/drug effects*
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Mice
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Peripheral Nerve Injuries/physiopathology*
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Male
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Ganglia, Spinal/enzymology*
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Axons/physiology*
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Peroxidase/antagonists & inhibitors*
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Mice, Inbred C57BL
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Drugs, Chinese Herbal/pharmacology*
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Disease Models, Animal
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Strychnine/pharmacology*
5.Establishment and Application of Drug Use Evaluation Standard of Ticagrelor
Yu ZHANG ; Mi ZHENG ; Jing ZHANG ; Maogui ZENG ; Jinhua ZHANG
Chinese Journal of Modern Applied Pharmacy 2024;41(10):1394-1402
OBJECTIVE
To establish the drug use evaluation(DUE) standard of ticagrelor, and to provide a reference for the rational clinical application of ticagrelor.
METHODS
Based on the ticagrelor drug label, related guidelines and literature, combined with clinical expert consultation results, DUE standard from three levels (indications, medications and medication results) was established. A retrospective survey was conducted to evaluate the inpatients using ticagrelor from January 2021 to December 2021 in the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine.
RESULTS
The DUE of ticagrelor was divided into three levels, including 3 first-level indexes, 14 second-level indexes and 60 third-level indexes. A total of 263 cases of using ticagrelor were included, of which the irrational rate was 72.62%. The irrational cases were mainly off-label use (60.08%), inappropriate drug conversion(14.83%) and unreasonable usage and dosage(5.70%), etc.
CONCLUSION
The established DUE standard of ticagrelor is scientific, practical and feasible, which can provide reference for clinical rational drug use and prescription evaluation.
6.Exploring Risk Factors for Primary Liver Cancer in Patients with Chronic Hepatitis C Based on Machine Learning Prediction Models
Rong YANG ; Bin FANG ; Lingling ZHENG ; Jinhua CHEN ; Wenjuan ZHOU
Cancer Research on Prevention and Treatment 2024;51(12):1015-1020
Objective To construct a risk prediction model for liver cancer in patients with chronic hepatitis C based on seven different machine learning algorithms and select the optimal model. Methods A total of 236 patients with chronic hepatitis C were selected as the research subjects. Patients were divided into a case group and a control group according to whether liver cancer occurs. Prediction models were constructed based on seven machine learning algorithms including classification and regression tree, random forest, gradient boosting decision tree, extreme gradient boosting (XGBoost), logistic regression, K-near neighbor, and support vector machine. The Shapley additive explanations (SHAP) algorithm was used to interpret the best prediction model. Results Among the seven models, the XGBoost model had the best comprehensive prediction performance (accuracy of 0.933, sensitivity of 0.775, specificity of 0.960, area under the ROC curve of 0.956, F1 score of 0.764). The SHAP algorithm suggested that AFP, age, AST, diabetes, BMI, PLT, ALT, liver cysts, FIB-4, and gender contributed to the model decision and are the risk factors for liver cancer in patients with chronic hepatitis C. Conclusion This study develops an interpretable machine learning model based on the XGBoost algorithm, which has a good reference value for individualized monitoring of liver cancer in patients with chronic hepatitis C.
7.Investigation and analysis of the sources and intervention effects of glaucoma related knowledge among community residents
Mudan ZHENG ; Gangyue WU ; Xiaoying LI
International Eye Science 2024;24(7):1139-1142
AIM:To investigate the effect of glaucoma knowledge education among community residents and knowledge source, and to provide reference for improving the awareness rate of glaucoma knowledge among residents.METHODS: From July 1, 2023 to September 30, 2023, a total of 752 residents live in two communities of Jinhua city were randomly selected to investigate the source of glaucoma prevention and treatment knowledge. In addition, comprehensive health education intervention lasted for 3 mo, awareness rate of core knowledge of glaucoma was investigated before and after the intervention, and the effect of the intervention was evaluated.RESULTS: The source of glaucoma related knowledge for radio and television was 33.4%; the mobile network was 40.9%; the health education was 21.5%. The overall awareness rate of glaucoma related knowledge before education intervention was 32.7%; the overall awareness rate after intervention was 48.4%, and the comparison before and after intervention was statistically significant(χ2=37.130, P<0.001). The awareness rate of 18 questions were statistically significant before and after the intervention(χ2≥13.341, P<0.001).CONCLUSION: The awareness rate of glaucoma related knowledge among residents was low, and mobile phone network and radio and television were the main sources of glaucoma related knowledge, so the education intervention was an effective means to improve glaucoma related knowledge.
8.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
9.An analysis of the meaning of"diet as usual"in Treatise on Cold Pathogenic and Miscellaneous Diseases
Jialin CHENG ; Changxiang LI ; Zilin REN ; Xin LAN ; Yuxiao ZHENG ; Jinhua HAN ; Xueqian WANG
Journal of Beijing University of Traditional Chinese Medicine 2024;47(7):934-938
In Treatise on Cold Pathogenic and Miscellaneous Diseases,there are five articles concerning"diet as usual".When many doctors annotate such articles,they mostly interpret"diet as usual"as normal diet or because of stomach qi not affected by disease,ignoring the true significance of"diet as usual"and its role in clinical differential diagnosis.Through sorting out and summarizing the relevant provisions of"diet as usual",combining with the comments of Shuowen Jiezi and various ancient and modern doctors on the relevant provisions of"diet as usual"to explore the meaning behind it,the author believes that"diet as usual"can only be understood as"diet as before".Because it exists in a variety of diseases,it cannot be blindly extended to"normal diet"."Diet as usual"has two functions in clinical differential diagnosis:on the one hand,the stomach is empty,and no solid no drink blocks the qi movement,or there is stagnant heat in the stomach and intestines,but has not yet formed dry feces;on the other hand,when the middle jiao becomes one of the pathogenic factors of the disease,"diet as usual"can exclude the influence of the middle jiao.
10.Development of a radiomics model to discriminate ammonium urate stones from uric acid stones in vivo: A remedy for the diagnostic pitfall of dual-energy computed tomography
Junjiong ZHENG ; Jie ZHANG ; Jinhua CAI ; Yuhui YAO ; Sihong LU ; Zhuo WU ; Zhaoxi CAI ; Aierken TUERXUN ; Jesur BATUR ; Jian HUANG ; Jianqiu KONG ; Tianxin LIN
Chinese Medical Journal 2024;137(9):1095-1104
Background::Dual-energy computed tomography (DECT) is purported to accurately distinguish uric acid stones from non-uric acid stones. However, whether DECT can accurately discriminate ammonium urate stones from uric acid stones remains unknown. Therefore, we aimed to explore whether they can be accurately identified by DECT and to develop a radiomics model to assist in distinguishing them.Methods::This research included two steps. For the first purpose to evaluate the accuracy of DECT in the diagnosis of uric acid stones, 178 urolithiasis patients who underwent preoperative DECT between September 2016 and December 2019 were enrolled. For model construction, 93, 40, and 109 eligible urolithiasis patients treated between February 2013 and October 2022 were assigned to the training, internal validation, and external validation sets, respectively. Radiomics features were extracted from non-contrast CT images, and the least absolute shrinkage and selection operator (LASSO) algorithm was used to develop a radiomics signature. Then, a radiomics model incorporating the radiomics signature and clinical predictors was constructed. The performance of the model (discrimination, calibration, and clinical usefulness) was evaluated.Results::When patients with ammonium urate stones were included in the analysis, the accuracy of DECT in the diagnosis of uric acid stones was significantly decreased. Sixty-two percent of ammonium urate stones were mistakenly diagnosed as uric acid stones by DECT. A radiomics model incorporating the radiomics signature, urine pH value, and urine white blood cell count was constructed. The model achieved good calibration and discrimination {area under the receiver operating characteristic curve (AUC; 95% confidence interval [CI]), 0.944 (0.899–0.989)}, which was internally and externally validated with AUCs of 0.895 (95% CI, 0.796–0.995) and 0.870 (95% CI, 0.769–0.972), respectively. Decision curve analysis revealed the clinical usefulness of the model.Conclusions::DECT cannot accurately differentiate ammonium urate stones from uric acid stones. Our proposed radiomics model can serve as a complementary diagnostic tool for distinguishing them in vivo.


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