1.Comprehensive analysis of an m6A regulator-based prognostic model and its associations with immune infiltration, drug sensitivity, and intercellular communication in cervical cancer
JIANG Bengui ; ZHOU Teng ; LU Qunfang ; TONG Lin ; ZHOU Xin ; LI Yan ; ZHI Shuang
Chinese Journal of Cancer Biotherapy 2026;33(6):678-689
[摘 要] 目的:探讨m6A调控因子在宫颈癌预后评估、免疫微环境特征及治疗反应中的作用,构建基于m6A调控因子的预后风险模型,并分析其与免疫浸润、药物敏感性及细胞间通信的关系。方法:基于TCGA和GEO数据库中宫颈鳞癌及腺癌(CESC)转录组数据,分析22个m6A调控因子的表达与突变情况;采用LASSO‑Cox回归构建m6A相关预后风险模型,并依据风险评分将患者分为高、低风险组。利用CIBERSORT和ESTIMATE算法评估两组免疫细胞浸润及微环境特征;通过oncoPredict预测抗肿瘤药物敏感性。整合单细胞转录组数据(E-MTAB-12305),采用CellChat分析细胞间通信网络。结果:共鉴定出12个在宫颈癌中差异表达的m6A调控因子。高风险组患者总生存期缩短(P < 0.05),免疫评分降低,且对紫杉醇、氟尿嘧啶、多柔比星等抗肿瘤药物敏感性较差(IC50较高)。单细胞分析显示宫颈癌组织中细胞间通信网络发生改变,其中T细胞与内皮/上皮细胞间的相互作用可能主要由CCL5‑ACKR1和MIF‑(CD74 + CXCR4)配体‑受体介导。在临床样本中,对关键的m6A调控因子进行mRNA和蛋白水平的验证,结果显示部分调控因子在宫颈癌组织中的表达水平高于正常宫颈组织(P < 0.05)。结论:m6A调控因子特征可有效预测宫颈癌患者预后,其风险评分与肿瘤免疫浸润、药物敏感性及细胞通信密切相关,为宫颈癌的预后分层及个体化治疗提供了新的分子依据。
2.Effects of Autonomic Neuromodulators on Atrial Electrical Remodeling and Histopathological Changes in a Rat Model of Atrial Fibrillation
Jiafei LI ; Zhenhao ZHANG ; Shuo WANG ; Ge TIAN ; Shuang WEN ; Yuxue YAN ; Ran CUI ; Zhen YE ; Yongchun CUI
Laboratory Animal and Comparative Medicine 2026;46(3):321-331
ObjectiveTo elucidate the effects of autonomic neuromodulators [calcium chloride (CaCl₂)-acetylcholine (ACh)] on atrial electrical remodeling and histopathological changes in rats, thereby providing evidence for further investigation into the pathological mechanisms by which autonomic imbalance induces atrial fibrillation (AF). MethodsTen 8-week-old male Sprague-Dawley (SD) rats were randomly divided into experimental and control groups, with 5 rats in each group. The experimental group received daily tail vein injections of a CaCl₂-ACh mixed solution for 28 days, while the control group received an equal volume of saline. Surface electrocardiograms were recorded before and after daily administration. On day 28 of administration, under isoflurane inhalation anesthesia, echocardiography was performed, and then the rats were euthanized by exsanguination under isoflurane anesthesia for tissue collection. Body weight and heart weight of rats were measured, and electrophysiological parameters including AF inducibility, conduction velocity, and conduction dispersion in isolated rat hearts were monitored using the MappingLab multichannel electrophysiological mapping system. HE staining was performed to evaluate atrial tissue architecture and inflammatory cell infiltration. The expression levels of matrix metalloproteinase 9 (MMP-9) and interleukin-1 beta (IL-1β) were analyzed by Western blotting. Masson staining was used to quantitatively analyze the proportional distribution of collagen fibers and myocardial fibers, and to calculate the area of collagen deposition, thereby evaluating the degree of myocardial fibrosis. Wheat germ agglutinin (WGA) staining was used to evaluate morphological changes of cardiomyocytes. Dihydroethidium (DHE) staining was used to detect the level of oxidative stress in atrial myocytes. Terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining was used to detect atrial cell apoptosis. ResultsCompared with the control group, the experimental group showed obvious arrhythmias on electrocardiograms. Echocardiography after 28 days of administration revealed significant structural remodeling in the experimental group, with a marked increase in left atrial anteroposterior diameter (P < 0.05), and also showed cardiac dysfunction, with significant decreases in left ventricular ejection fraction and left ventricular fractional shortening (P < 0.01). Compared with the control group, the experimental group showed a significantly increased heart weight-to-body weight ratio (P < 0.05), a markedly higher AF inducibility (P < 0.001), a significantly slowed atrial conduction velocity (P < 0.05), an uneven isochronal map with irregular directions, and a significantly increased conduction dispersion (P < 0.01). HE staining showed that atrial myocytes in the experimental group were disorganized, with slight inflammatory cell infiltration. Western blotting showed that the expression levels of MMP-9 and IL-1β in the atrial tissue of the experimental group were significantly upregulated (P < 0.05). Masson staining showed a significant increase in collagen deposition and a significant increase in fibrosis area in the atrial tissue of the experimental group (P < 0.001). WGA staining showed that cardiomyocytes in the experimental group were significantly hypertrophied compared with the control group (P < 0.05). DHE staining and TUNEL staining revealed that the level of oxidative stress in atrial myocytes (P < 0.001) and the apoptotic rate (P < 0.01) were both significantly increased. Conclusion Daily tail vein injections of the autonomic neuromodulator CaCl₂-ACh mixed solution for 28 days can successfully induce AF in rats, accompanied by significant atrial structural remodeling, electrical remodeling, and oxidative stress.
3.Identification of radiation-sensitive genes using machine learning algorithms
Yizhe GAO ; Tianjing CAI ; Shuang LI ; Xuelei TIAN ; Cong XI ; Juan YAN ; Qingjie LIU
Chinese Journal of Radiological Health 2026;35(2):240-245
Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.
4.Identification of radiation-sensitive genes using machine learning algorithms
Yizhe GAO ; Tianjing CAI ; Shuang LI ; Xuelei TIAN ; Cong XI ; Juan YAN ; Qingjie LIU
Chinese Journal of Radiological Health 2026;35(2):240-245
Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.
5.Identification of radiation-sensitive genes using machine learning algorithms
Yizhe GAO ; Tianjing CAI ; Shuang LI ; Xuelei TIAN ; Cong XI ; Juan YAN ; Qingjie LIU
Chinese Journal of Radiological Health 2026;35(2):240-245
Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.
6.Qualitative study on factors influencing the health of courier/food delivery workers based on the social-ecological model
Ruina LI ; Jingjing DU ; Jin WANG ; Xiaoman LIU ; Yan YE ; Yan YIN ; Zhi WANG ; Fengqiong CHEN ; Huanqiang WANG ; Shuang LI
China Occupational Medicine 2026;53(2):144-149
Objective To explore the health issues and influencing factors of workers in new forms of employment, represented by couriers and food delivery workers, based on the social-ecological model (SEM). Methods A total of 44 couriers and food delivery workers from Beijing City, Shanghai City, Guangzhou City, and Chongqing City were recruited as the study subjects using purposive sampling combined with snowball sampling method. An interview guide was developed based on the SEM to conduct semi-structured interviews. Thematic analysis was employed to code and analyze the interview data. Results The health influencing factors among the couriers and food delivery workers based on the SEM included three first-level themes at the micro-, meso-, and macro-levels, namely "individual factors," "occupational environmental factors," and "social environmental factors," each comprising three second-level themes. At the micro-level, individual factors such as insufficient health literacy, unhealthy lifestyles and behaviors, and sustained psychological burden jointly contributed to the health vulnerability among these couriers and food delivery workers. At the meso-level, occupational environmental factors including algorithmic management, high-load work environments, and inadequate interpersonal support, jointly construct a high-pressure and high-intensity work pattern. At the macro-level, social environmental factors such as insufficient social security caused by the de facto nature of labor relations, economic pressure resulting from unstable income in the market environment, and psychological depletion caused by occupational discrimination further exacerbate the health vulnerability among these workers. Conclusion The health issues of the couriers and food delivery workers result from the interplay of factors across micro-, meso-, and macro- levels. Therefore, a multi-level collaborative health protection system involving individuals, organizations, and society should be established to improve their health status.
7.LIU Shangyi's Experience in Treating Pruritus Vulvae Using Self-Prescribed Yinyang Formula (阴痒方)
Xiao LIU ; Zhaozhao HUA ; Yiyuan ZHOU ; Taiwei ZHANG ; Yan LI ; Shuang HUANG ; Qiang GAO ; Kaiyang XUE ;
Journal of Traditional Chinese Medicine 2025;66(10):992-995
To summarize the clinical experience of Professor LIU Shangyi in treating pruritus vulvae. It is believed that women have the physiological characteristics of liver and kidney as the root, and their pubic area is easily attacked by wind-dampness pathogenic qi, so the core mechanism of pruritus vulvae is proposed as wind-dampness accumulation and deficiency of liver and kidney. The core treatment method is to dispel wind-dampness and nourish the liver and kidneys, and modify the Danggui Decoction (当归饮子) to form a self-prescribed Yinyang Formula (阴痒方) as the basic prescription to treat pruritus vulvaen.
8.Comparison of bacterial clearance protocols in mouse nasal cavities
Yimin REN ; Chengshuo WANG ; Xiangyi LIU ; Ying LI ; Shuang LIANG ; Gui ZHANG ; Bing YAN
Chinese Archives of Otolaryngology-Head and Neck Surgery 2025;32(8):502-506
OBJECTIVE To investigate the effectiveness of different bacterial cleaning methods and their effects on the general condition,nasal mucosal and systemic inflammation of mice.METHODS A total of 44 mice were randomly divided into six groups:4-antibiotic per os group(4ABX po)with 7 mice,5-antibiotic oral gavage group(5ABX og)with 8 mice,5-antibiotic intranasal group(5ABX in)with 8 mice,and each of their control groups with 7 mice.Body weight,water intake,and peripheral blood routine test of mice were measured.Bacterial culture of nasal lavage fluid(NLF)was performed;mRNA level of inflammatory mediators and histopathological analysis were conducted with mouse nasal mucosa.RESULTS Bacteria were cultured from all control groups,while Bacteria were cultured from all control groups,while one mouse in the 4ABX po group,three mice in the 5ABX og group,and two mice in the 5ABX in group showed no bacterial growth.The number of goblet cells in the nasal mucosa significantly increased in the 5ABX og group compared with its control group(P<0.05).The 5ABX in group exhibited significantly higher counts of peripheral blood lymphocytes and hemoglobin levels,as well as greater nasal mucosal thickness compared with its control group,with a notable decrease in goblet cells(P<0.05).No statistical differences were observed in body weight or the mRNA expression of nasal mucosal inflammatory mediators.CONCLUSION Different combinations of antibiotics and administration routes have varying effects on nasal bacteria,systemic and nasal mucosal inflammation in mice.Therefore,choosing appropriate protocols is crucial for the progression of subsequent research.
9.Corn Stalk-derived Manganese-nitrogen Dual-doped Carbon Materials as Two-electron Oxygen Reduction Reaction Electrocatalysts for Organic Pollutant Degradation
Shuang CUI ; Yong-Xing DIAO ; Guang-Xing HU ; Zhuang LI ; Yan SHI ; Hong-Da WANG
Chinese Journal of Analytical Chemistry 2025;53(5):698-707,中插1-中插10
The conversion of abundant and low-cost biomass waste into highly efficient two-electron oxygen reduction(ORR)electrocatalyst is an important link in the degradation of pollutants in industrial wastewater through the electro-Fenton process.In this work,porous biocarbon materials doped with manganese and nitrogen(MnNBC)were prepared from corn stalk.The H2O2 selectivity of MnNBC in acidic media was up to 81% @0.6 Vvs RHE,also MnNBC exhibited a long-term stability in a 10-h uninterrupted lifetime test.The ORR activity of MnNBC could be attributed to the synergistic effect of the hierarchical porous structure,improved defect level and heteroatom doping.Moreover,MnNBC as a cathode material for the electro-Fenton system could completely degrade four kinds of common organic dye pollutants,e.g.,Rhodamine B,methyl orange,methylene blue and crystal violet(25 mg/L),respectively,within 40?60 min.The present study provided valuable insights into the transformation of corn stalk waste into efficient cathode materials for the electro-Fenton process.
10.Re-evaluation of systematic reviews of acupuncture for ulcerative colitis
Shuang LIU ; Yan LI ; Yingying ZHANG ; Haifa QIAO
International Journal of Traditional Chinese Medicine 2025;47(5):687-691
Objective:To re-evaluate the systematic review/meta-analysis of acupuncture therapy for ulcerative colitis.Methods:The systematic review/meta-analysis literature about acupuncture treatment of ulcerative colitis was retrieved from CNKI, Wanfang Data, Chongqing VIP, SinoMed, PubMed, the Cochrane Library and Embase from the establishment of the databases to July 7, 2024. The PRISMA checklist was used to evaluate the quality of the report, the AMSTAR 2 scale was used to evaluate the methodological quality, and the GRADE evaluation system was used to evaluate the quality of evidence of the outcome indicators.Results:A total of 6 articles were included, including 5 Chinese articles and 1 English article. The evaluation results of the PRISMA checklist showed that there were 3 high-quality articles and 3 medium-quality articles; the evaluation results of AMSTAR 2 scale showed that 1 was in low grade and 5 were in very low grade; among the 21 outcome indicators, 6 were of medium quality, 13 were of low quality, and 2 were of very low quality.Conclusions:Acupuncture treatment of ulcerative colitis can achieve better curative effect, and compared with conventional Western medicine treatment, it has more advantages in alleviating adverse symptoms such as spastic myalgia and constipation. However, the methodological quality and evidence quality of the relevant literature are generally low, and more high-quality studies are still needed.

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