1.Construction and validation of circadian rhythm genes-related prognostic risk model for lung adenocarcinoma
Yanqi CUI ; Hu ZHAO ; Yawei ZHANG ; Lin NI ; Duohuang LIAN ; Jingrong YANG ; Shixin YE ; Fengfeng XU ; Jincan ZHANG ; Zhiyong ZENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):550-558
Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.
2.Analysis of factors influencing the achievement of target vancomycin plasma concentration and construction of a predictive model in patients from high-altitude regions: a single-center retrospective study
Ya’e CHANG ; NI ZHAO ; Zhilan HUAN ; Guiqin XU ; Xue WU ; Yafeng WANG
China Pharmacy 2026;37(2):198-203
OBJECTIVE To analyze the influencing factors for achieving target plasma drug concentration (trough) (abbreviated as “PDC”) of vancomycin in patients from high-altitude regions and establish a predictive model for PDC using single- center data, providing references for rational clinical drug use. METHODS Inpatients with vancomycin (1 g, q12 h) administered intravenously in our hospital from January 2021 to June 2024 were retrospectively included. Demographic data, liver and kidney function and hematological indexes were collected. Spearman correlation analysis was used to evaluate the correlation between vancomycin PDC and each detection index. Univariate analysis was used to evaluate the differences of each index in patients with different PDC, and the effects of different gender, body mass index, age and underlying diseases (hypertension/diabetes) on vancomycin PDC. Based on the results of correlation analysis and univariate analysis, multiple linear stepwise regression analysis was used to obtain the independent predictors of vancomycin PDC and construct the prediction model. RESULTS A total of 141 patients were included, with an overall attainment rate of 46.81% for the target PDC of vancomycin. Correlation analysis showed that the vancomycin PDC was positively correlated with age, blood urea nitrogen, uric acid (UA), serum creatinine (CRE) and β2- microglobulin (β2-MG), and negatively correlated with height, weight, creatinine clearance rate (CCR), glomerular filtration rate (GFR), alanine transaminase (ALT), hemoglobin (HGB), white blood cell count and neutrophils (P<0.05). There were significant differences in age, CRE and other 14 indexes among different PDC groups (P<0.05 or P<0.01). Age and underlying diseases had significant effects on vancomycin PDC (P<0.05 or P<0.01). CCR, direct bilirubin (DBil), β2-MG, UA, HGB and height (standardized coefficients were -0.371, 0.367, 0.169, 0.232, -0.140, -0.132; P<0.05) were independent predictors of vancomycin PDC. The F value of the regression equation was 34.858 (P<0.05), the R2 was 0.610, and the adjusted R2 was 0.592. CONCLUSIONS The vancomycin PDC of patients in high-altitude regions is affected by multiple factors such as renal function, liver function and hematological indexes. CCR, HGB and height could be used to predict vancomycin PDC negatively, while DBil, β2-MG and UA could be used to predict vancomycin PDC positively. The variables of the established prediction model could explain 59.2% of the variation of vancomycin PDC.
3.Clinical Advantages of Traditional Chinese Medicine in Treatment of Childhood Simple Obesity: Insights from Expert Consensus
Qi ZHANG ; Yingke LIU ; Xiaoxiao ZHANG ; Guichen NI ; Heyin XIAO ; Junhong WANG ; Liqun WU ; Zhanfeng YAN ; Kundi WANG ; Jiajia CHEN ; Hong ZHENG ; Xinying GAO ; Liya WEI ; Qiang HE ; Qian ZHAO ; Huimin SU ; Zhaolan LIU ; Dafeng LONG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):238-245
Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance, while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine (TCM) has a long history in the prevention and management of this condition, demonstrating eight distinct advantages, including systematic theoretical foundation, diversified therapeutic approaches, definite therapeutic efficacy, high safety profile, good patient compliance, comprehensive intervention strategies, emphasis on prevention, and stepwise treatment protocols. Additionally, TCM is characterized by six distinctive features: the use of natural medicinal substances, non-invasive external therapies, integration of medicinal dietetics, simple exercise regimens, precise syndrome differentiation, and diverse dosage forms. By combining internal and external treatments, TCM facilitates individualized regimen adjustment and holistic regulation, demonstrating remarkable effects in improving obesity-related metabolic indicators, regulating constitutional imbalance, and promoting healthy behaviors. However, challenges remain, such as inconsistent operational standards, insufficient high-quality clinical evidence, and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment, conducting multicenter randomized controlled trials, and fostering interdisciplinary integration, so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.
4.Effectiveness of generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity
Qiaoyun YAN ; Min LI ; Yawen YAN ; Yaqing NI ; Yun GU ; Jiawen QIN ; Haiping YU ; Haitao ZHANG ; Liming ZHAO
Chinese Journal of Clinical Medicine 2026;33(1):16-23
Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P<0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P<0.001) and the senior nurse group (P<0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P<0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P<0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P<0.001) and senior nurse group (P<0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.
5.Application of the three-guidewire technique in retrograde stent placement for mucosal sleeve avulsion of the lower ureter
Hongchao DONG ; Yu HAO ; Zhao NI ; Qinzhang WANG
Journal of Modern Urology 2026;31(2):163-167
Objective To evaluate the feasibility and efficacy of the three-guidewire technique for retrograde stent placement in the treatment of ureteral mucosal sleeve avulsion (UMSA). Methods A retrospective analysis was conducted on the clinical data of 12 patients with UMSA secondary to ureteroscopic lithotripsy for ureteral calculi in our hospital during Jul. 2010 and Oct. 2023. The three-guidewire technique was employed for retrograde stent placement during the procedure. A secondary ureteroscopic lithotripsy was performed one month postoperatively.Results Double-J stent was successfully placed in all 12 patients, with a mean stent insertion time of 23.3(16-30)minutes. No intraoperative exacerbation of mucosal avulsion occurred. One patient was lost to follow-up. At the one-month postoperative ureteroscopic examination and lithotripsy, 81.8% (9/11) cases exhibited unobstructed ureters, while 18.2%(2/11) developed annular membranous strictures, which were resolved following dilation. During subsequent follow-up, the postoperative creatinine level after double-J stent removal showed a mild decrease compared to the preoperative level [87.9(72-100)μmol/L vs. 90.1(69-108)μmol/L]. Up to 90.9%(10/11) patients remained free of hydronephrosis, with only 1 case (9.1%) requiring laparoscopic ureterovesical reimplantation for hydronephrosis 4 months postoperatively. Conclusion The three-guidewire technique for retrograde stent placement in the treatment of UMSA demonstrates strong operability, high success rates, favorable outcomes, and a low incidence of ureteral stricture, which warrant wide clinical promotion.
6.Current situation of occupational health risk management for radiology staff in university hospitals
Yong ZHANG ; Ni ZHAO ; Chuanhang ZHOU
Chinese Journal of Radiological Health 2026;35(2):309-312
As radiological diagnostic and therapeutic technologies become increasingly prevalent and advanced in university hospitals, the preventing and controllingoccupational health risks among radiology staff has become a critical public health priority. In accordance with relevant health risk management regulations, this paper systematically reviews the current situation of occupational health risk management for radiology personnel in Chinese university hospitals. The review focuses on analyzing key issues in critical areas, including radiation protection facilities, health surveillance systems, staff risk awareness, and risk management mechanisms. This study aims to provide a scientific reference for establishing a rigorous, efficient, and standardized occupational health risk management system for radiology staff in university hospitals, thereby further improving the quality and safety of radiological healthcare services in higher education institutions.
7.Current situation of occupational health risk management for radiology staff in university hospitals
Yong ZHANG ; Ni ZHAO ; Chuanhang ZHOU
Chinese Journal of Radiological Health 2026;35(2):309-312
As radiological diagnostic and therapeutic technologies become increasingly prevalent and advanced in university hospitals, the preventing and controllingoccupational health risks among radiology staff has become a critical public health priority. In accordance with relevant health risk management regulations, this paper systematically reviews the current situation of occupational health risk management for radiology personnel in Chinese university hospitals. The review focuses on analyzing key issues in critical areas, including radiation protection facilities, health surveillance systems, staff risk awareness, and risk management mechanisms. This study aims to provide a scientific reference for establishing a rigorous, efficient, and standardized occupational health risk management system for radiology staff in university hospitals, thereby further improving the quality and safety of radiological healthcare services in higher education institutions.
8.Current situation of occupational health risk management for radiology staff in university hospitals
Yong ZHANG ; Ni ZHAO ; Chuanhang ZHOU
Chinese Journal of Radiological Health 2026;35(2):309-312
As radiological diagnostic and therapeutic technologies become increasingly prevalent and advanced in university hospitals, the preventing and controllingoccupational health risks among radiology staff has become a critical public health priority. In accordance with relevant health risk management regulations, this paper systematically reviews the current situation of occupational health risk management for radiology personnel in Chinese university hospitals. The review focuses on analyzing key issues in critical areas, including radiation protection facilities, health surveillance systems, staff risk awareness, and risk management mechanisms. This study aims to provide a scientific reference for establishing a rigorous, efficient, and standardized occupational health risk management system for radiology staff in university hospitals, thereby further improving the quality and safety of radiological healthcare services in higher education institutions.
9.Quantitative analysis and distribution comparison of salidroside and its liposomes in mouse serum,bronchoalveolar lavage fluid,and lung tissue
Rong WANG ; Ni ZHAO ; Guoquan LI ; Yafeng WANG ; Shen’ao LI ; Jiaming LAI ; Hao CAI
China Pharmacy 2026;37(15):1998-2002
OBJECTIVE Establish a quantitative analysis method for salidroside (Sal) in mouse serum, bronchoalveolar lavage fluid (BALF), and lung tissue, and compare the distribution differences of Sal and its liposomes. METHODS Using high-performance liquid chromatography(HPLC), Welch Xtimate C18 was used as the chromatographic column, with methanol-formic acid aqueous solution (formic acid volume fraction: 0.1% for serum and BALF detection, 0.2% for lung tissue detection) as the mobile phase, flow rate of 1.0 mL/min, detection wavelength of 275 nm, column temperature of 30 ℃, and injection volume of 10 μL. Serum, BALF, and lung tissue homogenate samples were precipitated with methanol for protein analysis. Twelve mice were randomly divided into Sal group and Sal liposome group, and the concentrations of Sal in serum, BALF, and lung tissue were detected after intragastric administration corresponding liquid medicine at a dose of 300 mg/kg (calculated as Sal) for 0.5 h. RESULTS The linear ranges of Sal in serum, BALF, and lung tissue were 1.56-200.00 μg/mL, 1.56-100.00 μg/mL, and 6.24-400.00 μg/g, respectively (all r=0.999 9), with intra-day RSD of 1.35%-3.87%, 1.10%-2.75%, and 1.90%-3.86%, respectively; the inter-day RSD of 3.38%-5.11%, 2.22%- 4.36%, and 2.41%-4.73%, respectively. The relative accuracies were 97.95%-101.61%, 98.29%-101.82%, and 97.41%- 106.94%, respectively. The stability RSDs were all less than 6%. Compared with the Sal group, the Sal liposome group significantly increased the concentration of Sal in BALF of mice (P<0.05), and significantly decreased the concentration of Sal in serum and lung tissue (P<0.05). CONCLUSIONS The HPLC method established in this study is suitable for quantitative analysis of Sal in mouse serum, BALF, and lung tissue. Sal liposomes have a tendency to distribute towards the alveolar cavity during early administration.
10.Interpretation of guidelines for the diagnosis and treatment of primary liver cancer (2026 edition)
Yanbin NI ; Jiye ZHU ; Zhao LI
Journal of Clinical Hepatology 2026;42(7):1572-1575
In April 2026, the National Health Commission of the People’s Republic of China released Guidelines for the diagnosis and treatment of primary liver cancer (2026 edition). This edition incorporates an independent chapter of “prevention, screening, and monitoring” to build a hierarchical and precise prevention and control system, establishes a comprehensive therapeutic paradigm targeting surgical resection, and clarifies the core position of conversion therapy and neoadjuvant therapy. It also updates the recommendations for interventional and systemic therapies and strengthens the whole-course management of underlying liver diseases. This article interprets the key updates of this new edition to better guide clinical practice.

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