1.Traditional Chinese Medicine Treats Esophageal Cancer via PI3K/Akt Signaling Pathway: A Review
Wei GUO ; Chen PENG ; Yikun WANG ; Zixuan YU ; Jintao LIU ; Jing DING ; Yijing LI ; Hongxin SUN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):302-311
Esophageal cancer (EC) is a highly prevalent malignant tumor in China. The phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway, as one of the key oncogenic pathways, can promote the cell cycle progression, proliferation, migration, and invasion, induce chemoresistance, and inhibit apoptosis and autophagy of EC cells. Traditional Chinese medicine (TCM), with the advantages of targeting multiple points with multiple components to delay cancer progression, can target the PI3K/Akt signaling pathway for EC treatment. This article preliminarily discusses the molecular mechanism and role of the PI3K/Akt signaling pathway in EC and elaborates on the specific targets and efficacy of TCM in treating EC through intervention in the PI3K/Akt signaling pathway in the past five years. TCM materials and extracts inhibiting the PI3K/Akt signaling pathway in EC include Borneolum, spore powder of Ganoderma lucidum without spore coat, extract of Celastrus orbiculatus, root extract of Taraxacum, and Bruceae Fructus oil emulsion. TCM active ingredients exerting the effect include flavonoids, terpenoids, saponins, phenols, polysaccharides, alkaloids, and other compounds. TCM compound prescriptions with such effect include Qige San, Huqi San, Xuanfu Daizhetang, Tongyoutang and its decomposed prescriptions, Liujunzi Tang, and Xishenzhi Formula. In addition, TCM injections such as Compound Kushen Injection and Kang'ai injection also inhibit the PI3K/Akt signaling pathway in EC. This paper summarizes the role of the PI3K/Akt signaling pathway in EC and the TCM interventions, aiming to provide reference for the research and clinical application of new drugs for EC.
2.Change in the number of peripheral blood regulatory T cells in patients with chronic kidney disease and its correlation with vascular calcification
Di ZHANG ; Hui WU ; Jing CHEN ; Liyu LIN ; Shaomin GONG ; Xiaoyan ZHANG ; Xiaoqiang DING ; Han ZHANG
Chinese Journal of Clinical Medicine 2026;33(2):285-292
Objective To explore the number of peripheral blood regulatory T cells (Treg) in patients with chronic kidney disease (CKD) and its correlation with vascular calcification. Methods This was a single-center, cross-sectional, and observational study. Non-dialysis patients with CKD treated at Zhongshan Hospital, Fudan University from March 2021 to March 2022 were enrolled. Abdominal aortic calcification (AAC) was assessed using lateral abdominal X-ray. Number of Treg and cytokine levels were measured by flow cytometry. Logistic regression analysis was performed to evaluate the related factors for AAC in CKD patients. Results A total of 83 patients were included, aged 17–86 years, with 57 males (68.7%). The distribution of CKD stages was as follows: stage G1 in 7 patients (8.4%), stage G2 in 17 patients (20.5%), stage G3 in 21 patients (25.3%), stage G4 in 19 patients (22.9%), and stage G5 in 19 patients (22.9%). No AAC was observed in patients with stages G1 and G2, while the prevalence of AAC in patients with stages G3, G4, and G5 was 23.8%, 21.1%, and 26.3%, respectively. Compared with stage G1 patients, those with stages G3–5 showed decreased number of peripheral blood Treg and elevated levels of interleukin (IL)-6 and IL-17F (P<0.05). The area under the receiver operating characteristic curve for number of peripheral blood Treg in predicting AAC in CKD patients was 0.766 (95%CI 0.652–0.879, P=0.002). Logistic regression analysis showed that decreased number of Treg was related factor for AAC in CKD patients (OR=0.957, 95%CI 0.922–0.992, P=0.018). Conclusion As CKD progresses, number of peripheral blood Treg significantly decreases, which is correlated with AAC in CKD patients.
3.Construction of a prediction model for early hormone remission after prolactinoma surgery based on machine learning
Yanxia DENG ; Jiahui LIU ; Jing XU ; Weijie WANG ; Kun SUN ; Lianshu DING ; Jian JIANG
Chinese Journal of Clinical Medicine 2026;33(3):406-413
Objective To explore factors associated with early postoperative hormonal remission in patients with prolactinoma and to develop prediction models based on clinical and radiological features. Methods Data from 107 patients with prolactinoma who underwent transsphenoidal surgery at The First People’s Hospital of Huai’an, Nanjing Medical University between January 2020 and December 2024 was collected, included general clinical characteristics, preoperative laboratory indicators, and imaging features. Based on whether early postoperative prolactin (PRL) levels normalized, patients were divided into a remission group (n=76) and a non-remission group (n=31). Univariate logistic regression was used for preliminary evaluation of candidate variables, followed by LASSO regression for feature selection. Multiple machine learning models were constructed, including logistic regression, random forest, support vector machine, K-nearest neighbors, naive Bayes, decision tree, neural network, and gradient boosting decision tree (GBDT). All models were trained and evaluated using ten-fold cross-validation, with comprehensive assessment of model performance based on the area under the ROC curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. Results The maximum diameter of tumors in the non remission group was larger than that in the remission group (P=0.019), and the incidence of tumor stroke and preoperative PRL levels were significantly higher than those in the remission group (P<0.001). Univariate analysis showed that sex, maximum tumor diameter, tumor stroke, and preoperative PRL levels were influencing factors for early postoperative hormone response in patients with prolactinoma (P<0.05). The comparison results of machine learning models show that the neural network model performs the best (AUC=0.921) and has good clinical application value, followed by the GBDT model (AUC=0.893) and the support vector machine model (AUC=0.884). Other models also show certain predictive ability. Conclusions Sex, preoperative PRL levels, maximum tumor diameter, Hounsfield unit value, and tumor stroke are important factors affecting early hormone response after prolactinoma surgery. The machine learning model constructed based on the above variables has good predictive performance, and performs the best and has good clinical application value.
4.Principles and optimal strategy of antibacterial drug therapy in elderly patients with Helicobacter pylori infection
Miao HE ; Zhuo WANG ; Xin KANG ; Nan DING ; Juan BI ; Jing TIAN
Journal of Pharmaceutical Practice and Service 2026;44(7):370-375
Objective To explore the principle of antibacterial drug therapy and the strategy of program optimization in elderly patients with Helicobacter pylori(Hp). Methods The common therapeutic regimen of Hp was summarized, and the better therapeutic regimen of elderly Hp patients was screened ultimately. Results Amoxicillin and cefuroxime were relatively safe compared with other recommended antibacterial drugs. Using other commonly antibiotics for Hp should pay attention to the disease of patients and current drug. Conclusion Elderly patients usually suffered from a variety of diseases and required multiple drugs. The application of therapeutic regimen for elderly patients with Hp should be supposed to fully weigh the risks and benefits.
5.Establishment of a method for detecting the potency of recombinant human coagulation factor Ⅶa for injection
Rong WU ; Liping WANG ; Jinye LANG ; Yue ZHU ; Jing ZHOU ; Xun LIU ; Jing NI ; Shunbo ZHOU ; Yaling DING
Chinese Journal of Blood Transfusion 2025;38(3):415-420
[Objective] To establish a method for detecting the potency of recombinant human coagulation factor Ⅶa for injection. [Methods] By adding the sample and factor Ⅶ deficient plasma to the sample cup and activating the reaction with prothrombin time assay reagent (PT reagent), the coagulation time of the sample was determined by the change in magnetic bead swing amplitude in the sample cup. The logarithm of coagulation time was inversely proportional to the logarithm of human factor Ⅶa potency. [Results] Under the experimental conditions, the specificity of the methodology was evaluated through spiked recovery, and the recovery rates ranged from 90.0% to 110.0%. Within the range from 0.125 to 1.000 IU/mL, there was a good linear response between the potency and coagulation time of the standard and sample, with correlation coefficients r>0.99. As for the accuracy and repeatability, the recovery rates of various concentrations detected in the stock solution were 101.0%, 100.0% and 112.0%, respectively, with RSD values of 2.6%, 4.0% and 0.0%, respectively. The recovery rates of various concentrations in finished product testing were 104.0%, 94.7% and 112.0%, respectively, with RSD values of 1.9%, 2.4% and 0.0%, respectively. As for the intermediate precision, the RSD were 4.5% and 3.7%, respectively. After treated with sample diluent, the sample was tested at room temperature for 6 hours and still exhibited relatively stable biological activity. [Conclusion] This detection method is accurate, stable, easy to operate and highly automated, and is suitable for detecting the potency of recombinant human coagulation factor Ⅶa for Injection.
6.Cognitive Disorders Awareness and Associated Risk Factors in Xizang Autonomous Region
Yu HAO ; Junshan WANG ; Ma ZHUO ; Quzhen SUOLANG ; Shiyong JI ; Yaxiong HU ; Zhijie DING ; Zhuoga CIDAN ; Jing YUAN ; Yuhua ZHAO
Medical Journal of Peking Union Medical College Hospital 2025;16(2):472-478
To investigate the awareness of cognitive impairment disorders among residents of the Xizang Autonomous Region and its influencing factors, thereby providing a basis for targeted prevention and treatment efforts. From April to December 2024, a questionnaire survey was conducted among permanent residents aged ≥18 years (residing in the Xizang Autonomous Region for 180 days or more). The survey was primarily conducted online, supplemented by QR code distribution during community medical outreach by healthcare workers. Demographic information and data on awareness of cognitive disorders were collected, and an ordered Logistic regression model was used to analyze influencing factors in the overall population and stratified by occupation. A total of 327 questionnaires were collected, with 14 excluded (13 for not meeting residency requirements and 1 for self-reported diagnosis of cognitive impairment), leaving 313 valid questionnaires. The average age of respondents was 42.0±11.9 years; 108 (34.5%) were male, and 205 (65.5%) were female. Most respondents were from Lhasa (78.6%, 246/313); 179 (57.2%) were healthcare workers, and 134 (42.8%) were non-healthcare workers. Regarding awareness of cognitive impairment disorders, 7.3% (23/313) were "unaware", 75.7% (237/313) were "partially aware", and 16.9% (53/313) were "well aware".Ordered Logistic regression analysis revealed that education level of high school or below ( Awareness of cognitive impairment disorders among residents of the Xizang Autonomous Region needs improvement. Educational level, occupation, and prior contact with cognitive impairment patients significantly influence disease awareness. Enhancing overall education levels and using vivid clinical case presentations in health education and public outreach are key strategies to improve public awareness of cognitive impairment disorders.
7.Current Status and Challenges of Ultrasound-Guided Ablation Therapy for Liver Cancer
Yan ZHOU ; Jianmin DING ; Yandong WANG ; Xiang JING
Cancer Research on Prevention and Treatment 2025;52(4):274-280
Ultrasound-guided local ablation therapy for liver tumors has extensive clinical application because of its minimal invasiveness, proven effectiveness, low complication rates, and suitability for repeat treatments. Ultrasound-guided interventional therapy has continuously evolved in terms of the following: technological advancements, from the initial utilization of percutaneous ethanol injection to thermal ablation therapies exemplified by radiofrequency ablation and microwave ablation and presently advancing toward emerging techniques such as irreversible electroporation; imaging methods, from conventional ultrasound guidance to contrast-enhanced ultrasound and fusion imaging for precise guidance and assessment; supplementary strategies, from monotherapy to auxiliary method and synergistic therapy; and innovative treatment concepts, from early-stage small hepatocellular carcinoma to intermediate and even large liver cancers. The development of ultrasound-guided local ablation of liver cancers has progressed from an initial phase of rapid advancement to a mature stage characterized by further enhancements. This article provides a comprehensive overview of the status of technical equipment, treatment processes, efficacy, complications, and challenges encountered in ultrasound-guided local ablation for liver tumors, with the objective of offering valuable insights for interventional ultrasound physicians.
8.Whole-genome polymorphism of CD36 by third-generation sequencing technology
Jing LIU ; Xiuzhang XU ; Haoqiang DING ; Jing DENG ; Yangkai CHEN ; Wenjie XIA ; Xin YE
Chinese Journal of Blood Transfusion 2025;38(5):610-614
Objective: To analyze CD36 gene by PacBio Sequel Ⅱ the third-generation sequencing technology (TGS), including non-coding sequence, and to investigate the molecular mechanism of CD36 deficiency. Methods: Flow cytometry was performed in the southern Chinese population to detect the CD36 phenotype. Among them, 15 cases of CD36 type I deficiency, 15 cases of CD36 type Ⅱ deficiency, and 10 positive samples were selected. The TGS of the CD36 gene was performed and statistical analysis was conducted. Results: 40 samples (including 15 cases of type I deficiency, 15 cases of type Ⅱ deficiency, and 10 positive samples) were subjected by TGS of CD36 full-length sequences (except part of intron1). A total of 180 polymorphic loci were identified. Among them, 13 kinds were in the coding region, the rest were in non-coding region, with most mutations located in regulatory regions such as the 5′-UTR and 3′-UTR. Conclusion: The high polymorphism of CD36 non-coding regions, particularly in regulatory sequences, provides mechanistic insights into type Ⅱ CD36 deficiency.
9.Preliminary study of the value of ultrasound parameters combined with cystatin C in monitoring early acute kidney injury after liver transplantation
Di ZHANG ; Jing SUN ; Kai ZHAO ; Chuanshen XU ; Shiwen DING ; Jinzhen CAI ; Jianhong WANG
Organ Transplantation 2025;16(4):574-581
Objective To explore the value of combined ultrasound parameters, including the hepatorenal index (HRI) and renal resistance index (RRI), with cystatin C (CysC) in monitoring early acute kidney injury (AKI) after liver transplantation. Methods Perioperative data from 121 liver transplant recipients who received organs from donation after brain death were collected. The HRI and RRI of the recipients were measured on postoperative days 1-7 and at 1 month, and the CysC levels were measured on postoperative day 1. The recipients were divided into the AKI group (n=53) and the non-AKI group (n=68) based on whether AKI occurred within 7 days after operation. The data of the two groups were compared, and the ultrasound parameters before and after recovery in the AKI group were analyzed. The value of combined HRI, RRI and CysC in monitoring AKI was also analyzed. Results AKI occurred in 53 recipients, with an incidence rate of 43.8%, including 30 cases of stage 1, 18 cases of stage 2, and 5 cases of stage 3. Among them, 49 cases occurred on postoperative day 1, and 4 cases occurred on postoperative day 2. Of these, 43 cases recovered within 7 days after surgery, 8 cases recovered within 2 months after surgery, 1 case was lost to follow-up, and 1 case received renal replacement therapy. The body mass index and preoperative CysC levels were higher in the AKI group than in the non-AKI group, and the operative time was longer in the AKI group than in the non-AKI group (all P < 0.05). The HRI on postoperative day 1 was lower in the AKI group than in the non-AKI group, while the RRI and CysC levels were higher (all P < 0.05). When AKI occurred, the HRI was lower than the baseline level, and the RRI was higher than the baseline level. As AKI recovered, the HRI gradually increased, and the RRI gradually decreased. The receiver operating characteristic curve analysis showed that the sensitivity and specificity of HRI ≤ 1.12 for predicting AKI were 0.623 and 0.878, respectively, with an area under the curve (AUC) of 0.801. The sensitivity and specificity of RRI ≥ 0.65 for predicting AKI were 0.878 and 0.676, respectively, with an AUC of 0.825. The sensitivity and specificity of CysC ≥ 1.38 mg/L for predicting AKI were 0.736 and 0.882, respectively, with an AUC of 0.851 (all P<0.01). The combination of HRI and CysC (AUC=0.897, P<0.01), RRI and CysC (AUC=0.910, P<0.01), and all three parameters combined (AUC=0.934, P<0.01) were more effective than using each parameter alone. Conclusions HRI and RRI may be used to monitor the occurrence and recovery of early AKI after liver transplantation. The combination of these two parameters with CysC has a high application value in monitoring early AKI after liver transplantation.
10.Research progress in comorbidity between epilepsy and sleep disorders
Luyao HUANG ; Jing DING ; Xin WANG
Chinese Journal of Clinical Medicine 2025;32(3):505-511
Epilepsy, which leads to an enduring high tendency to generate epileptic seizures, is a neurological disorder characterized by recurrent episodes of paroxysmal brain dysfunction due to abnormal synchronous neuronal discharges. Patients with epilepsy are usually comorbid with various sleep disorders, such as restless leg syndrome/periodic limb movement disorder (RLS/PLMD), chronic insomnia and narcolepsy. Frequent seizures may increase the risk of suffering from sleep disorders; conversely, poor control of sleep disorders exacerbates epilepsy. This review discusses common types of sleep disorders in patients with epilepsy, reveals potential mechanisms, and introduces new advances in the treatment of comorbidity between epilepsy and sleep disorders. The aim is to provide an overview of the close interactions between epilepsy and sleep disorders, providing new ideas and experiences for more effective treatment of sleep disorders and improving the prognosis of patients with epilepsy.

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