1.Management and practice of ethical review for “amendment” in drug clinical trials
Xingyi LI ; Zhonglin CHEN ; Xingchi QU ; Yu FENG ; Huihui HAN
Chinese Medical Ethics 2026;39(1):58-63
Driven by the growing practical need to accelerate drug development and the continuous innovation of trial design in recent years, the number of protocol amendments during clinical trials have gradually increased, and the changed contents have become more flexible and complex, which significantly heightens the difficulty of ethical review on amendments. Against this backdrop, it is of great importance to fully leverage the role and responsibilities of ethics committees, effectively control clinical trial risks, and ensure subject safety. This paper analyzed development trends of protocol amendments in recent years, sorted out requirements for protocol amendments in Chinese regulations and guiding principles, and examined difficulties of amendment ethical review in practical work. Based on these, targeted strategies and recommendations were proposed, namely, strengthening the integration with scientific review, enhancing the formal review, adjusting the scope of review according to approval notifications, and adopting appropriate review methods, with a view to providing insights and references for the management of the amendment ethical review in drug clinical trials.
2.PCDHGB7 Methylation Characteristics and Their Clinical Significance in Lung Adenocarcinoma Based on the TCGA Database
Runhua YU ; Zhitao GU ; Wentao FANG ; Feng YAO
Cancer Research on Prevention and Treatment 2026;53(2):121-126
Objective This study used The Cancer Genome Atlas (TCGA) database to investigate the methylation levels of PCDHGB7 in lung adenocarcinoma tissues and analyze its association with clinical pathological features of lung adenocarcinoma, and its prognostic predictive value. Methods Methylation data of PCDHGB7 from 473 lung adenocarcinoma tissues and 32 normal tissues in the TCGA database were derived and analyzed to assess between-group variance and determine the correlation of methylation levels with clinical pathological features and overall survival. Results PCDHGB7 exhibited significantly higher methylation levels in lung adenocarcinoma tissues than in normal tissues (P<0.001), demonstrating a strong discriminative ability for lung adenocarcinoma (AUC=0.926, P<0.001). The methylation level was strongly associated with gender (P=0.047) and T stage (P=0.013). The critical prognostic sites of PCDHGB7 were identified through univariate Cox regression analysis. We found significant differences in overall survival between patient groups with low or high methylation levels (P=
3.Terms Related to The Study of Biomacromolecular Condensates
Ke RUAN ; Xiao-Feng FANG ; Dan LI ; Pi-Long LI ; Yi LIN ; Zheng WANG ; Yun-Yu SHI ; Ming-Jie ZHANG ; Hong ZHANG ; Cong LIU
Progress in Biochemistry and Biophysics 2025;52(4):1027-1035
Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.
4.Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms.
Wen-Yu JIA ; Feng TONG ; Heng-Xu LIU ; Shu-Qin JIN ; Yong-Chao ZHANG ; Chen-Feng ZHANG ; Zhen-Zhong WANG ; Xin ZHANG ; Wei XIAO
China Journal of Chinese Materia Medica 2025;50(2):430-438
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods*
;
Drugs, Chinese Herbal/administration & dosage*
;
Machine Learning
;
Algorithms
;
Humans
;
Quality Control
5.Construction of core outcome set for clinical research on traditional Chinese medicine treatment of simple obesity.
Tong-Tong WU ; Yan YU ; Qian HUANG ; Xue-Yin CHEN ; Fu-Ming-Xiang LIU ; Li-Hong YANG ; Chang-Cai XIE ; Shao-Nan LIU ; Yu CHEN ; Xin-Feng GUO
China Journal of Chinese Materia Medica 2025;50(12):3423-3430
Following the core outcome set standards for development(COS-STAD), this study aims to construct core outcome set(COS) for clinical research on traditional Chinese medicine(TCM) treatment of simple obesity. Firstly, a comprehensive review was conducted on the randomized controlled trial(RCT) and systematic review(SR) about TCM treatment of simple obesity that were published in Chinese and English databases to collect reported outcomes. Additional outcomes were obtained through semi-structured interviews with patients and open-ended questionnaire surveys for clinicians. All the collected outcomes were then merged and organized as an initial outcome pool, and then a preliminary list of outcomes was formed after discussion by the working group. Subsequently, two rounds of Delphi surveys were conducted with clinicians, methodology experts, and patients to score the importance of outcomes in the list. Finally, a consensus meeting was held to establish the COS for clinical research on TCM treatment of simple obesity. A total of 221 RCTs and 12 SRs were included, and after integration of supplementary outcomes, an initial outcome pool of 141 outcomes were formed. Following discussions in the steering advisory group meeting, a preliminary list of 33 outcomes was finalized, encompassing 9 domains. Through two rounds of Delphi surveys and a consensus meeting, the final COS for clinical research on TCM treatment of simple obesity was determined to include 8 outcomes: TCM symptom scores, body mass index(BMI), waist-hip ratio, waist circumference, visceral fat index, body fat rate, quality of life, and safety, which were classified into 4 domains: TCM-related outcomes, anthropometric measurements, quality of life, and safety. This study has preliminarily established a COS for clinical research on TCM treatment of simple obesity. It helps reduce the heterogeneity in the selection and reporting of outcomes in similar clinical studies, thereby improving the comparability of research results and the feasibility of meta-analysis and providing higher-level evidence support for clinical practice.
Humans
;
Obesity/therapy*
;
Medicine, Chinese Traditional
;
Randomized Controlled Trials as Topic
;
Treatment Outcome
;
Drugs, Chinese Herbal/therapeutic use*
6.Development of intelligent equipment for rapid microbial detection of Atractylodis Macrocephalae Rhizoma decoction pieces based on measurement technology for traditional Chinese medicine manufacturing.
Yang LIU ; Wu-Zhen QI ; Yu-Tong WU ; Shan-Xi ZHU ; Xiao-Jun ZHAO ; Qia-Tong XIE ; Yu-Feng GUO ; Jing ZHAO ; Nan LI ; Shi-Jun WANG ; Qi-Hui SUN ; Zhi-Sheng WU
China Journal of Chinese Materia Medica 2025;50(16):4610-4618
Microbial detection and control of traditional Chinese medicine(TCM) decoction pieces are crucial for the quality control of TCM preparations. It is also a key area of research in the measurement technology and equipment development for TCM manufacturing. Guided by TCM manufacturing measurement methodologies, this study presented a design of a novel portable microbial detection device, using Atractylodis Macrocephalae Rhizoma decoction pieces as a demonstration. Immunomagnetic separation technology was employed for specific isolation and labeling of target microorganisms. Enzymatic signal amplification was utilized to convert weak biological signals into colorimetric signals, constructing an optical biosensor. A self-developed smartphone APP was further applied to analyze the colorimetric signals and quantify target concentrations. A portable and automated detection system based on Arduino microcontroller was developed to automatically perform target microbial separation/extraction, as well as mimetic enzyme labeling and catalytic reactions. The developed equipment specifically focuses on the rapid and quantitative microbial analysis of TCM active pharmaceutical ingredients, intermediates in TCM manufacturing, and final TCM products. Experimental results demonstrate that the equipment could detect Salmonella in samples within 2 h, with a detection limit as low as 5.1 × 10~3 CFU·mL~(-1). The equipment enables the rapid detection of microorganisms in TCM decoction pieces, providing a potential technical solution for on-site rapid screening of microbial contamination indicators in TCM. It has broad application prospects in measurement technology for TCM manufacturing and offers strong technical support for the modernization, industrialization, and intelligent development of TCM.
Drugs, Chinese Herbal/analysis*
;
Atractylodes/microbiology*
;
Rhizome/microbiology*
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Biosensing Techniques/methods*
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Medicine, Chinese Traditional
;
Colorimetry/instrumentation*
;
Quality Control
8.A convenient research strategy for functional verification of epigenetic regulators during spermatogenesis.
Shan LI ; Ying YUAN ; Ke-Yu ZHANG ; Yi-Dan GUO ; Lu-Tong WANG ; Xiao-Yuan ZHANG ; Shu ZHANG ; Qi YAN ; Rong ZHANG ; Jie CHEN ; Feng-Tang YANG ; Jing-Rui LI
Asian Journal of Andrology 2025;27(2):261-267
Spermatogenesis is a fundamental process that requires a tightly controlled epigenetic event in spermatogonial stem cells (SSCs). The mechanisms underlying the transition from SSCs to sperm are largely unknown. Most studies utilize gene knockout mice to explain the mechanisms. However, the production of genetically engineered mice is costly and time-consuming. In this study, we presented a convenient research strategy using an RNA interference (RNAi) and testicular transplantation approach. Histone H3 lysine 9 (H3K9) methylation was dynamically regulated during spermatogenesis. As Jumonji domain-containing protein 1A (JMJD1A) and Jumonji domain-containing protein 2C (JMJD2C) demethylases catalyze histone H3 lysine 9 dimethylation (H3K9me2), we firstly analyzed the expression profile of the two demethylases and then investigated their function. Using the convenient research strategy, we showed that normal spermatogenesis is disrupted due to the downregulated expression of both demethylases. These results suggest that this strategy might be a simple and alternative approach for analyzing spermatogenesis relative to the gene knockout mice strategy.
Spermatogenesis/physiology*
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Animals
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Male
;
Mice
;
Epigenesis, Genetic
;
Jumonji Domain-Containing Histone Demethylases/metabolism*
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Histones/metabolism*
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RNA Interference
;
Testis/metabolism*
;
Methylation
;
Mice, Knockout
;
Histone Demethylases
9.Novel biallelic HFM1 variants cause severe oligozoospermia with favorable intracytoplasmic sperm injection outcome.
Liu LIU ; Yi-Ling ZHOU ; Wei-Dong TIAN ; Feng JIANG ; Jia-Xiong WANG ; Feng ZHANG ; Chun-Yu LIU ; Hong ZHU
Asian Journal of Andrology 2025;27(6):751-756
Male factors contribute to 50% of infertility cases, with 20%-30% of cases being solely attributed to male infertility. Helicase for meiosis 1 ( HFM1 ) plays a crucial role in ensuring proper crossover formation and synapsis of homologous chromosomes during meiosis, an essential process in gametogenesis. HFM1 gene mutations are associated with male infertility, particularly in cases of non-obstructive azoospermia and severe oligozoospermia. However, the effects of intracytoplasmic sperm injection (ICSI) in HFM1 -related infertility cases remain inadequately explored. This study identified novel biallelic HFM1 variants through whole-exome sequencing (WES) in a Chinese patient with severe oligozoospermia, which was confirmed by Sanger sequencing. The pathogenicity of these variants was assessed using real-time quantitative polymerase chain reaction (RT-qPCR) and immunoblotting, which revealed a significant reduction in HFM1 mRNA and protein levels in spermatozoa compared to those in a healthy control. Transmission electron microscopy revealed morphological abnormalities in sperm cells, including defects in the head and flagellum. Despite these abnormalities, ICSI treatment resulted in a favorable fertility outcome for the patient, indicating that assisted reproductive techniques (ART) can be effective in managing HFM1 -related male infertility. These findings offer valuable insights into the management of such cases.
Humans
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Male
;
Sperm Injections, Intracytoplasmic
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Oligospermia/therapy*
;
Adult
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Spermatozoa/ultrastructure*
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Exome Sequencing
;
Mutation
10.Maternal depressive symptoms and adolescent suicidal ideation: the chain mediating roles of childhood trauma and ineffectiveness.
Ying-Yan ZHONG ; Yu-Ting LI ; Jian-Hua CHEN ; Ru-Meng CHEN ; En-Zhao CONG ; Yi-Feng XU
Chinese Journal of Contemporary Pediatrics 2025;27(11):1317-1325
OBJECTIVES:
To investigate the association between maternal depressive symptoms and adolescent suicidal ideation, and to examine the chain mediating roles of childhood trauma and ineffectiveness.
METHODS:
A cross-sectional online survey was administered by school psychologists to 4 157 mother-adolescent pairs from middle schools in Shanghai and Henan, China. Measures included the Center for Epidemiological Studies Depression Scale, the Childhood Trauma Questionnaire, and the Children's Depression Inventory. Using Bootstrap method to examine the chain mediating effect of childhood trauma and ineffectiveness on the relationship between maternal depression symptoms and adolescent suicidal ideation.
RESULTS:
The prevalence of maternal depressive symptoms was 17.68% (735/4 157); among adolescents, the prevalence of depressive symptoms was 15.49% (644/4 157), and suicidal ideation was 28.19% (1 172/4 157). Adolescent depressive symptoms and suicidal ideation were positively correlated with maternal depressive symptoms, childhood trauma, and ineffectiveness (all P<0.01). Childhood trauma significantly mediated the association between maternal and adolescent depressive symptoms (95%CI: 0.046 9-0.077 2). The chain mediation of childhood trauma and ineffectiveness in the association between maternal depressive symptoms and adolescent suicidal ideation was also significant (95%CI: 0.000 7-0.001 3).
CONCLUSIONS
Higher maternal depressive symptom levels are associated with a greater likelihood of adolescents' exposure to childhood trauma, which increases adolescents' ineffectiveness and, in turn, is associated with suicidal ideation. This chain effect has important implications for social interventions targeting adolescent depression.
Humans
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Suicidal Ideation
;
Adolescent
;
Female
;
Depression/etiology*
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Cross-Sectional Studies
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Mothers/psychology*
;
Male
;
Child
;
Adult

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