1.Literature study and properties discussion of Chromolaena odorata
Xing XIANG ; Huiqing ZHANG ; Qijin ZHANG ; Yinqin LIU ; Baokang HUANG
Journal of Pharmaceutical Practice and Service 2025;43(4):195-199
Objective To provide theoretical basis for the clinical application of the rational compatibility of C. odorata by studying the related domestic and international literature and explore the properties of C. odorata according to the theory of Traditional Chinese Medicine. Methods The medical literature related to C. odorata was retrieved and screened from CNKI, VIP, Wanfang Data, China Biomedical Literature Database and foreign literature databases such as PubMed, Web of Science, Scopus, Embase, and SciFinder. A total of 397 English articles and 50 Chinese articles were included in the study, which were systematically classified according to clinical application, chemical composition, pharmacological effect, toxic and side effects, and were analyzed according to the theory of Traditional Chinese Medicine. Results C. odorata features spicy, astringent tastes, a cool nature, entering heart and liver meridians, and a slightly toxic.Its functions included astringing to stop bleeding, detoxifying and promoting tissue regeneration, as well as intercepting malaria and killing parasites. It was used for conditions such as hematemesis, haemoptysis, traumatic bleeding, sores and abscesses, malaria, and leech bites. Conclusion The exploration of the properties and efficacy of C. odorata could provide reference for its clinical research and application in Traditional Chinese Medicine.
2.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.
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.Influencing factors of overactive bladder in college freshmen and the impacts on anxiety,quality of life,and social interaction
Guowei SI ; Ce GAO ; Sida SHAO ; Feng SI ; Yakai LIU ; Songyang WANG ; Maochuan FAN ; Huiqing ZHANG ; Qifeng DOU ; Jianguo WEN
Journal of Modern Urology 2025;30(6):513-519
Objective: To investigate the influencing factors of overactive bladder (OAB) in college freshmen and the impacts of OAB on their mental health, quality of life and social interaction. Methods: An epidemiological questionnaire survey was conducted in an anonymous manner on the prevalence of OAB among 5300 freshmen aged 17 to 22 years enrolled in the 2023—2024 academic year in Xinxiang Medical University and Sanquan College of Xinxiang Medical University.The questionnaire included questions on basic information, history of urinary tract infection, constipation, smoking, history of alcohol consumption, history of coffee/strong tea drinking, history of carbonated beverage drinking, redundant prepuce, phimosis, holding urine, chronic insomnia, self-rating anxiety scale (SAS), quality of life score (QoL), and social avoidance and distress scale (SADS).The influencing factors of OAB were analyzed with multivariate logistic regression analysis.The subjects were grouped according to whether they had OAB, and the differences in SAS, QoL and SADS between the OAB group and non-OAB group were compared.The impacts of OAB on the anxiety level, quality of life, and social interaction were analyzed with multiple linear regression analysis. Results: The overall prevalence rate of OAB was 4.9% (244/5018).Multivariate logistic regression analysis showed that the history of urinary tract infection (OR=0.177), constipation (OR=0.636), smoking (OR=0.582), alcohol consumption (OR=0.685), coffee/strong tea drinking (OR=0.387), carbonated beverage drinking (OR=0.631), redundant prepuce (OR=0.673), phimosis (OR=0.311), urine holding (OR=0.593), and chronic insomnia (OR=0.256) were influencing factors for the occurrence of OAB (P<0.05).The OAB group had higher SAS score [(41.18±6.54) vs. (38.61±6.36)], QoL score [(3.65±1.20) vs. (2.79±0.95)], social avoidance score [(6.25±1.86) vs. (5.86±1.51)], social distress score [(6.27±1.59) vs. (5.97±1.32)], and total SADS score [(12.51±2.35) vs. (11.84±2.01)] than the non-OAB group (P<0.05).The results of multiple linear regression analysis showed that OAB could independently affect the scores of QoL, SAS, and SADS.The OAB group had higher scores of QoL, SAS, and SADS compared with the non-OAB group (P<0.001). Conclusion: History of urinary tract infection, constipation, smoking, alcohol consumption, coffee/strong tea drinking, carbonated beverage drinking, redundant prepuce, phimosis, urine holding, and chronic insomnia are influencing factors for the occurrence of OAB in male college students.Moreover, OAB has negative impacts on their mental health, quality of life, and social interaction.
6.Safety of teriflunomide in Chinese adult patients with relapsing multiple sclerosis: A phase IV, 24-week multicenter study.
Chao QUAN ; Hongyu ZHOU ; Huan YANG ; Zheng JIAO ; Meini ZHANG ; Baorong ZHANG ; Guojun TAN ; Bitao BU ; Tao JIN ; Chunyang LI ; Qun XUE ; Huiqing DONG ; Fudong SHI ; Xinyue QIN ; Xinghu ZHANG ; Feng GAO ; Hua ZHANG ; Jiawei WANG ; Xueqiang HU ; Yueting CHEN ; Jue LIU ; Wei QIU
Chinese Medical Journal 2025;138(4):452-458
BACKGROUND:
Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS.
METHODS:
This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide.
RESULTS:
Eighty-two patients were assigned to variant ( n = 42) and wild type groups ( n = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study.
CONCLUSION:
ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients.
REGISTRATION
NCT04410965, https://clinicaltrials.gov .
Humans
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Crotonates/adverse effects*
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Toluidines/adverse effects*
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Nitriles
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Hydroxybutyrates
;
Female
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Male
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Adult
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ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics*
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Middle Aged
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Multiple Sclerosis, Relapsing-Remitting/genetics*
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Prospective Studies
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Young Adult
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Neoplasm Proteins/genetics*
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East Asian People
7.Thirteen serum biochemical indexes and five whole blood coagulation indices in a point-of-care testing analyzer: ideal protocol for evaluating pulmonary and critical care medicine.
Mingtao LIU ; Li LIU ; Jiaxi CHEN ; Zhifeng HUANG ; Huiqing ZHU ; Shengxuan LIN ; Weitian QI ; Zhangkai J CHENG ; Ning LI ; Baoqing SUN
Journal of Zhejiang University. Science. B 2025;26(2):158-171
The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation. We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100. Furthermore, 350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100. Metrics included thirteen biochemical indexes, such as albumin, and five coagulation indices, such as prothrombin time. Comparisons were drawn against the PUSHKANG POCT analyzer. Bland-Altman plots (MS100: 0.8206‒0.9995; MC100: 0.8318‒0.9911) evinced significant consistency between methodologies. Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer, further underscored by a robust correlation coefficient (MS100: 0.713‒0.949; MC100: 0.593‒0.950). The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics. This emphasizes its prospective clinical efficacy, offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.
Humans
;
Point-of-Care Testing
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Critical Care
;
Blood Coagulation Tests/methods*
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Male
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Blood Coagulation
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Female
;
Middle Aged
;
Reproducibility of Results
;
Prothrombin Time
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Aged
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Adult
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Point-of-Care Systems
8.The protein arginine methyltransferase PRMT1 ameliorates cerebral ischemia-reperfusion injury by suppressing RIPK1-mediated necroptosis and apoptosis.
Tengfei LIU ; Gan HUANG ; Xin GUO ; Qiuran JI ; Lu YU ; Runzhe ZONG ; Yiquan LI ; Xiaomeng SONG ; Qingyi FU ; Qidi XUE ; Yi ZHENG ; Fanshuo ZENG ; Ru SUN ; Lin CHEN ; Chengjiang GAO ; Huiqing LIU
Acta Pharmaceutica Sinica B 2025;15(8):4014-4029
Receptor-interacting protein kinase 1 (RIPK1) plays an essential role in regulating the necroptosis and apoptosis in cerebral ischemia-reperfusion (I/R) injury. However, the regulation of RIPK1 kinase activity after cerebral I/R injury remains largely unknown. In this study, we found the downregulation of protein arginine methyltransferase 1 (PRMT1) was induced by cerebral I/R injury, which negatively correlated with the activation of RIPK1. Mechanistically, we proved that PRMT1 directly interacted with RIPK1 and catalyzed its asymmetric dimethylarginine, which then blocked RIPK1 homodimerization and suppressed its kinase activity. Moreover, pharmacological inhibition or genetic ablation of PRMT1 aggravated I/R injury by promoting RIPK1-mediated necroptosis and apoptosis, while PRMT1 overexpression protected against I/R injury by suppressing RIPK1 activation. Our findings revealed the molecular regulation of RIPK1 activation and demonstrated PRMT1 would be a potential therapeutic target for the treatment of ischemic stroke.
9.Clinical characteristics of eosinophilic lung diseases in children
Xiaolei XU ; Ju YIN ; Jun LIU ; Xiuyun LIU ; Yinghui HU ; Huiqing SHEN ; Guoli WANG ; Jing ZHANG ; Rui ZHANG ; Yan SU ; Runhui WU ; Baoping XU
Chinese Journal of Applied Clinical Pediatrics 2024;39(6):433-439
Objective:To analyze the clinical characteristics of eosinophilic lung diseases(ELD) in children to enhance pediatricians′ understanding of ELD.Methods:In this retrospective cross-sectional study, a total of 149 children with ELD were recruited from Beijing Children′s Hospital, Capital Medical University between April 1, 2007 and March 31, 2022.Chi-square test, Fisher′s exact test, Mann-Whitney U test and Kruskal-Wallis test were used to analyze data and conclude clinical characteristics.Spearman correlation was used to analyze the correlation between eosinophils in peripheral blood and bronchoalveolar lavage fluid.Chi-square test and Kappa consistency test were used to compare the differences and consistency in diagnostic results between bronchoalveolar lavage fluid or lung biopsy and eosinophil elevation with chest imaging abnormalities. Results:(1)The isolated lung involvement was mostly caused by allergic bronchopulmonary aspergillosis(9 patients), and other system involvement by idiopathic hypereosinophilic syndrome(89 patients).(2)The main respiratory manifestations included coughing(90 cases, 60.4%) and expectoration(41 cases, 27.5%), while 23.5%(35 cases) of patients had no respiratory symptoms; 50.3% had digestive system involvement, and 40.9% had skin involvement.These were the two most commonly affected organs.(3)Spearman correlation was performed between eosinophils in peripheral blood and bronchoalveolar lavage fluid( r=0.3, P<0.05).Chi-square test was performed to compare ELD diagnosed by bronchoalveolar lavage fluid or lung biopsy with peripheral blood eosinophilia accompanied by abnormal chest imaging( P<0.05).Kappa consistency test(Kappa<0.2) showed poor consistency between the two diagnostic methods. Conclusions:ELD are present in children, and multiple etiologies may be pathogenic.Among children with ELD, the isolated lung involvement is mainly caused by allergic bronchopulmonary aspergillosis.The digestive system and skin are the most commonly affected organs, except for lungs.The correlation between eosinophil levels in peripheral blood and bronchoalveolar lavage fluid is poor.
10.Prognosis and risk factors of IgA vasculitis nephritis in children
Xueqing MA ; Yonghua HE ; Jinyun PU ; Wenpei LIANG ; Panpan SHAO ; Jianhua ZHOU ; Yu ZHANG ; Jinhui TANG ; Tonglin LIU ; Huiqing YUAN ; Liru QIU
Chinese Journal of Pediatrics 2024;62(12):1184-1190
Objective:To investigate the prognosis and risk factors of IgA vasculitis nephritis (IgAVN) in children.Methods:A retrospective cohort study was conducted. Clinical data were collected from 264 children who were pathologically diagnosed with IgAVN at Department of Pediatric Nephrology, Tongji Hospital, affiliated with Tongji Medical College, Huazhong University of Science and Technology, between January 2011 and December 2017. All patients had a follow-up period of more than 3 years. Clinical characteristics, renal pathology, 3-year and 5-year prognosis were analyzed. The patients were grouped based on gender, age of onset (≤6 years, >6-9 years, and >9 years), pathological classification (≤Ⅲ and>Ⅲ),whether the prognosis was complete remission at 3 and 5 years. Independent sample t-tests, ANOVA or chi-squared test were used for intergroup comparisons. Spearman correlation analysis was applied for ordinal data, and multivariate Logistic regression was used to analyze factors affecting the prognosis. Receiver operating characteristic (ROC) curve was utilized to evaluate the predictive value of these factors. Results:Of the 264 children with IgAVN, 153 were male and 111 were female, the age of onset was 8.3 (6.7, 10.3) years, 118 patients (45%) with onset age >6-9 years accounted for the highest proportion. All patients presented with skin purpura and renal involvement, primarily manifesting as hematuria and/or proteinuria. Microscopic hematuria was observed in 253 patients (95.8%), while 246 patients (93.2%) showed proteinuria. In 256 patients (97.0%), hematuria or proteinuria urinalysis was detected within 6 months of skin purpura onset, and 243 patients (92.0%) underwent renal biopsy within 6 months of renal involvement. The most common clinical subtype in 264 IgAVN children was hematuria and proteinuria (204 cases, 77.3%), with grade Ⅲ being the predominant pathological classification (181 cases, 68.6%). Among children ≤6 years old, the 3-year complete remission rate was higher in males than in females (83.9% (26/31) vs. 7/16, χ2=8.12, P=0.012). Factors independently associated with poor 5-year prognosis included time from hematuria or proteinuria urinalysis to renal biopsy >6 months, elevated serum cholesterol levels, and incomplete remission 3 years post-biopsy ( OR=5.41, 1.39, 6.02, 95% CI 1.40-20.86, 1.04-1.84, 2.61-13.88, all P<0.05). The serum cholesterol has a predictive value for 5-year prognosis ( P=0.020, AUC=0.62, 95% CI 0.52-0.71, Youden index=0.27, cutoff=4.37). Conclusions:For children with IgAVN aged≤6 years, the 3-year prognosis is better in males than in females. Time from hematuria or proteinuria urinalysis to renal biopsy >6 months, elevated serum cholesterol levels, and incomplete remission at 3 years post-biopsy may be independent risk factors for poor 5-year prognosis in children with IgAVN.

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