1.Risk Factors Analysis and Predictive Model Construction for Acute Kidney Injury Following Amphotericin B Deoxycholate Use in Hospitalized Patients
Hao XIE ; Yixun SHI ; Zhiqing XU ; Minquan LI ; Xiaoli DU ; Gang CHEN ; Bin ZHAO
Medical Journal of Peking Union Medical College Hospital 2026;17(2):429-437
To investigate the risk factors for acute kidney injury (AKI) following the use of amphotericin B deoxycholate and to develop a predictive model to guide clinical monitoring and intervention. A retrospective analysis was conducted on hospitalized patients who received amphotericin B deoxycholate between January 2014 and September 2024. Patients were divided into a training set and a validation set. Demographic data, laboratory findings, and medication orders were collected. Based on the occurrence of AKI during treatment and within 7 days after discontinuation, patients were classified into an AKI group and a non-AKI group. Univariate analysis was used to screen for potential risk factors, multivariate logistic regression was employed to construct a predictive model, and model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow test. The training set included 473 patients, comprising 255 males (53.91%) and 218 females (46.09%), with a median age of 52(35, 62) years. The AKI group consisted of 191 cases (40.38%), and the non-AKI group consisted of 282 cases (59.62%). The validation set included 114 patients, comprising 80 males (70.18%) and 34 females (29.82%), with a median age of 43.5 (31.0, 58.5) years. The AKI group consisted of 42 cases (36.84%), and the non-AKI group consisted of 72 cases (63.16%). Univariate analysis revealed statistically significant differences between the two groups in 23 factors (all Admission to the ICU, elevated serum creatinine at admission, and comorbid cardiac insufficiency as potential risk factors for AKI, while prophylactic use of diphenhydramine/promethazine or sodium bicarbonate showed a protective association. A predictive model with good discrimina-tion and calibration was developed, which may provide a basis for early identification of high-risk patients and timely adjustment of treatment strategies in clinical practice.
2.Opportunities and challenges in controlling metabolic dysfunction-associated steatotic liver disease: Editorial on “Downregulation of the MARC1 p.A165 risk allele reduces hepatocyte lipid content by increasing beta-oxidation”
Jian XU ; Gang SHI ; Tao SHENG ; Jingdong LI
Clinical and Molecular Hepatology 2026;32(2):919-920
3.Epidemiology and trends of major respiratory infectious diseases in Beijing in 2014-2023
Xiao HU ; Yanlin GAO ; Yunping SHI ; Yang LIU ; Chao WANG ; Ying ZHOU ; Wei LI ; Jiaze LI ; Gang LI
Military Medical Sciences 2025;49(2):101-109
Objective To analyze the epidemiology and trends of measles,tuberculosis,pertussis,scarlet fever,influenza,mumps and rubella in Beijing between 2014 and 2023 in order to provide data for prevention and control of related diseases.Methods Data on the incidences of seven respiratory infectious diseases in Beijing between 2014 and 2023 was collected.Descriptive epidemiological methods were employed to analyze their demographic,temporal and spatial distribution.Joinpoint regression analysis was used to assess temporal trends in incidence.Results A total of 1 406 777 cases of seven respiratory infectious diseases were reported in Beijing between 2014 and 2023,which corresponded to an average crude rate of 649.76/100 000 reported annually.The crude rate of incidencewas higher among females than among males,with the most vulnerable age groups being 0-4 years and 5-19 years,and was higher in the six districts than on the outskirts.Most of the respiratory infectious diseases peaked in winter and spring.The annual increase in the incidence of respiratory infectious diseases in Beijing in this period averaged 27.27%,with no statistically significant differences in trends.The incidence rates of measles,tuberculosis,scarlet fever,mumps and rubella decreased significantly while those of pertussis and influenza increased,but with no statistically significant difference.Conclusion The overall incidence of major respiratory infectious diseases in Beijing is increasing.It is recommended that more people get vaccinated,surveillance of such diseases as pertussis and influenza be enhanced,and regional health resources be allocated more effectively,all of which will be critical to subsequent prevention and control of respiratory infectious diseases in Beijing.
4.Investigation of attention deficit hyperactivity disorder and subthreshold states among children in Chongqing
Xiuying YANG ; Zhanming SHI ; Yi LI ; Jiasheng LIU ; Dengguo CHENG ; Tingting HE ; Wei ZHAO ; Gang YUAN ; Ludan ZHANG ; Chunni HUANG ; Junhao LUAN ; Xiaoyue JIA ; Tiantian CHEN ; Mei WANG ; Shiping ZHENG ; Chunying WU ; Yuanming REN ; Mengfei LI
Sichuan Mental Health 2025;38(6):561-567
BackgroundAttention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by age-inappropriate inattention, excessive activities incongruous with setting, and emotional impulsivity. Subthreshold ADHD (sADHD) is clinically defined as the presence of ADHD symptoms that do not meet the full diagnostic criteria for ADHD. Children with sADHD exhibit deficits in executive function, demonstrate more conduct, learning, and anxiety-related problems compared to typically developing children, and show even poorer working memory performance than children diagnosed with ADHD. Currently, there is limited epidemiological research on sADHD in China, with few studies simultaneously investigating the prevalence of both ADHD and sADHD in children. ObjectiveTo investigate the prevalence of ADHD and sADHD among children aged 6–13 years in Chongqing, analyzing their distribution characteristics within this population, with the aim of providing references for developing preventive measures against both ADHD and sADHD. MethodsFrom October to November 2023, a total of 3 398 students in grades 1–6 from six primary schools in Jiangbei District, Chongqing were selected using a stratified cluster random sampling method. The occurrence of ADHD and sADHD was evaluated by using the short version (18-item version) of the Swanson, Nolan, and Pelham IV rating scales (SNAP-IV) and the Chinese vision of Schedule for Affective Disorder and Schizophrenia for School-aged Children-Present and Lifetime Version (K-SADS-PL). ResultsThe ADHD detection rate among children in Chongqing was 1.90% (95% CI: 0.014–0.024). Boys showed a significantly higher ADHD detection rate than girls (χ2=7.733, P=0.005). No statistically significant differences were found in ADHD detection rates across different grades or age groups (χ2=7.347, 12.362, P>0.05). The sADHD detection rate was 6.32% (95% CI: 0.054–0.072). Similarly, boys exhibited significantly higher sADHD detection rates than girls (χ2=21.005, P<0.01). Significant differences emerged across different grades (χ2=20.559, P=0.001), while no statistically significant difference was observed in age groups (χ2=12.070, P=0.060). ConclusionThe ADHD detection rates were comparable across all grade levels and age groups from 6–13 years old. Second-grade children demonstrated notably higher sADHD rates compared to other grades, while boys demonstrated higher prevalence rates than girls for both ADHD and sADHD. [Funded by Science and Health Joint Medical Research Project in Jiangbei District, Chongqing City in the Second Half of 2023 (number, 2023JBKWLH022)]
5.Drug Delivery Systems for Pancreatic Cancers Treatment
Wan-Rui SHI ; Li-Gang CUI ; Xiao-Long LIANG
Progress in Biochemistry and Biophysics 2025;52(7):1745-1756
Pancreatic cancers (PCs) is a common malignant tumor with poor prognosis in the digestive system. Its main treatment methods include surgery, radiotherapy, chemotherapy, and targeted therapy. The early diagnosis rate of hidden onset of PCs is low, and most patients have already lost the opportunity to undergo surgery when diagnosed with PCs. Chemotherapy is still the main treatment for advanced PCs, but the use of chemotherapy drugs in PCs can easily lead to drug resistance. The most significant feature that distinguishes PCs from other tumors is its rich and dense matrix, which not only hinders drug penetration but also impedes the infiltration of immune cells. The above reasons have led to a very low survival rate of PCs patients. Therefore, drug delivery systems are very important in the diagnosis and treatment of PCs. They can improve drug delivery, enhance biological barrier penetration, reduce side effects, and combine multiple treatment methods. Therefore, the treatment prospects of PCs are very broad. Currently, drug delivery systems widely applied in PCs primarily include nanodrug delivery systems, tumor microenvironment-targeted drug delivery system, immunotherapy drug delivery system, gene therapy drug delivery system, and combination therapy drug delivery system that synergize multiple therapeutic modalities. Emerging drug delivery systems (DDSs) have revolutionized PCs treatment by addressing these challenges through multiple mechanisms. Nanoformulations improve drug solubility, prolong circulation time, and reduce systemic toxicity via passive/active targeting. Smart DDSs responsive to PCs-specific stimuli enable extracellular matrix degradation, tumor-associated fibroblasts reprogramming, and vascular normalization to enhance drug accessibility. Last but not least, carrier systems loaded with myeloid-derived suppressor cell inhibitors or T cell activators can reverse immunosuppression and potentiate immunotherapy efficacy. Advanced platforms co-deliver chemotherapeutics with immunomodulators, gene-editing tools, or sonodynamic agents to achieve synergistic antitumor effects. These platforms aim to address critical challenges in PCs treatment, such as enhancing drug bioavailability, overcoming stromal barriers, reprogramming immunosuppressive niches, and achieving multi-mechanistic antitumor effects. This article provides a systematic summary and prospective analysis of the current development status, latest cutting-edge advances, opportunities, and challenges of the above-mentioned drug delivery systems in the field of PCs therapy.
6.Discovery of bioactive polycyclic polyprenylated acylphloroglucinol from Hypericum patulum that protects against hepatic ischemia/reperfusion injury.
Bo TAO ; Xiangli ZHAO ; Zhengyi SHI ; Jie LI ; Yulin DUAN ; Xiaosheng TAN ; Gang CHEN ; Changxing QI ; Yonghui ZHANG
Chinese Journal of Natural Medicines (English Ed.) 2025;23(9):1104-1110
Hepatic ischemia/reperfusion injury (IRI) remains a critical complication contributing to graft dysfunction following liver surgery. As part of an ongoing search for hepatoprotective natural products, five previously unreported homoadamantane-type polycyclic polyprenylated acylphloroglucinols (PPAPs), named hyperhomanoons A-E (1-5), and one known analog, hypersampsone O (6), were isolated from Hypericum patulum. Among these, compound 6 demonstrated potent protective effects against CoCl₂-induced hypoxic injury in hepatocytes. Furthermore, in a murine model of hepatic IRI induced by vascular occlusion, pretreatment with 6 markedly alleviated liver damage and reduced hepatocyte apoptosis. This study is the first to identify PPAPs as promising scaffolds for the development of therapeutic agents targeting hepatic IRI, underscoring their potential as lead compounds in drug discovery efforts for ischemic liver diseases.
Reperfusion Injury/prevention & control*
;
Animals
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Hypericum/chemistry*
;
Phloroglucinol/administration & dosage*
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Mice
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Humans
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Male
;
Liver/blood supply*
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Apoptosis/drug effects*
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Molecular Structure
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Protective Agents/pharmacology*
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Hepatocytes/drug effects*
;
Mice, Inbred C57BL
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Liver Diseases/drug therapy*
7.Deciphering the Role of VIM, STX8, and MIF in Pneumoconiosis Susceptibility: A Mendelian Randomization Analysis of the Lung-Gut Axis and Multi-Omics Insights from European and East Asian Populations.
Chen Wei ZHANG ; Bin Bin WAN ; Yu Kai ZHANG ; Tao XIONG ; Yi Shan LI ; Xue Sen SU ; Gang LIU ; Yang Yang WEI ; Yuan Yuan SUN ; Jing Fen ZHANG ; Xiao YU ; Yi Wei SHI
Biomedical and Environmental Sciences 2025;38(10):1270-1286
OBJECTIVE:
Pneumoconiosis, a lung disease caused by irreversible fibrosis, represents a significant public health burden. This study investigates the causal relationships between gut microbiota, gene methylation, gene expression, protein levels, and pneumoconiosis using a multi-omics approach and Mendelian randomization (MR).
METHODS:
We analyzed gut microbiota data from MiBioGen and Esteban et al. to assess their potential causal effects on pneumoconiosis subtypes (asbestosis, silicosis, and inorganic pneumoconiosis) using conventional and summary-data-based MR (SMR). Gene methylation and expression data from Genotype-Tissue Expression and eQTLGen, along with protein level data from deCODE and UK Biobank Pharma Proteomics Project, were examined in relation to pneumoconiosis data from FinnGen. To validate our findings, we assessed self-measured gut flora from a pneumoconiosis cohort and performed fine mapping, drug prediction, molecular docking, and Phenome-Wide Association Studies to explore relevant phenotypes of key genes.
RESULTS:
Three core gut microorganisms were identified: Romboutsia ( OR = 0.249) as a protective factor against silicosis, Pasteurellaceae ( OR = 3.207) and Haemophilus parainfluenzae ( OR = 2.343) as risk factors for inorganic pneumoconiosis. Additionally, mapping and quantitative trait loci analyses revealed that the genes VIM, STX8, and MIF were significantly associated with pneumoconiosis risk.
CONCLUSIONS
This multi-omics study highlights the associations between gut microbiota and key genes ( VIM, STX8, MIF) with pneumoconiosis, offering insights into potential therapeutic targets and personalized treatment strategies.
Humans
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Male
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East Asian People/genetics*
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Europe
;
Gastrointestinal Microbiome
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Lung
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Macrophage Migration-Inhibitory Factors/metabolism*
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Mendelian Randomization Analysis
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Multiomics
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Pneumoconiosis/microbiology*
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Intramolecular Oxidoreductases
8.Application of transnasal endoscopic approach for clipping the paraclival internal carotid artery in skull base surgery
Haiyan LI ; Pingping HU ; Minggang SHI ; Xu WANG ; Yanguo SHANG ; Xiaoguang TONG ; Gang LIU ; Guodong FENG ; Xiang ZHAI
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2025;60(10):1291-1297
Objective:To evaluate the feasibility and outcomes of transnasal endoscopic clipping of the paraclival internal carotid artery (ICA) in skull base surgery.Methods:The paraclival ICA was anatomically dissected in cadaveric head specimens. The clinical data of 15 patients with skull base lesions involving the ICA who admitted to the Department of Otorhinolaryngology Head and Neck Surgery at Tianjin Huanhu Hospital from January 2021 to December 2023 were retrospectively analyzed. Among them, 4 patients underwent transnasal endoscopic clipping of the paraclival ICA and concurrent lesion resection. The surgical methods were summarized, and the key points and indications of this technique were analyzed.Results:Intraoperative clipping of the ICA was successful and hemostatic in all 4 patients. Postoperatively, 3 patients had no complications, while 1 patient developed delayed ischemic cerebral infarction. Two patients were cured, 1 patient was maintained on immunotherapy, and 1 patient died. During follow-up, the clip was in situ in 1 patient, had detached in another, and was obscured by temporal muscle coverage in the remaining 2 patients.Conclusions:Transnasal endoscopic clipping of the paraclival ICA represents a potential option for managing the ICA in skull base surgery. However, it carries significant risks and limitations, mandating careful patient selection based on specific circumstances.
9.Extraction process optimization,component analysis and biological activity evaluation for total polyphenols from Conioselinum vaginatu
Jun-long WANG ; Hui-jie YAN ; Yong-gang LIN ; Zi-wei LI ; Wen-pan SHI ; Sheng-qi JIANG ; Bin WU ; Qin-ze GU
Chinese Traditional Patent Medicine 2025;47(5):1449-1455
AIM To optimize the extraction process for total polyphenols from Conioselinum vaginatu(Spreng.)Thell.,make component analysis,and evaluate their anti-oxidant,hypoglycemic activities.METHODS The effects of ultrasound,enzymatic hydrolysis,acid hydrolysis,alcohol extraction and hydrolysis processes on the extraction quantity of total polyphenols were investigated,respectively.With extraction temperature,extraction time,ethanol concetration and liquid-solid ratio as influencing factors,extraction quantity of total polyphenols as an evaluation index,the extraction process was optimized by response surface method.HPLC was adopted in the identification of polyphenolic composition and determination of their contents.Subsequently,total polyphenols' scavenging capacities on DPPH,ABTS,OH free radicals,total reducing power and inhibitory capacity on α-glucosidase were determined.RESULTS The highest extraction quantity of total polyphenols was observable when extraction process was employed.The optimal conditions were determined to be 62 ℃ for extraction temperature,54 min for extraction time,69%for ethanol concentration,and 50∶1 for liquid-solid ratio,the extraction quantity of total polyphenols was(9.51±0.2)mg GAE/g.Seven constituents existed in C.vaginatu,among which ferulic acid demonstrated the highest content,followed by that of myricetin,while D-tryptophan content was the lowest.At the concentration of 7.61 mg/L,total polyphenols displayed the scavenging rates on DPPH,ABTS,OH free radicals of 80.70%,85.97%,28.60%,total reducing power of 0.22,and inhibition rate on α-glucosidase of 77.23%,respectively.CONCLUSION This stable and reliable method can be used for the extraction of total polyphenols from C.vaginatum with strong anti-oxidant,hypoglycemic activities.
10.Development and validation of a risk prediction model for severe acute pancreatitis induced by hypertriglyceridemia
Zhe WANG ; Hanzhang DENG ; Kaixin PENG ; Jiongdi LU ; Liang ZHANG ; Xiaolei SHI ; Yunpeng PENG ; Kedong XU ; Zheng WANG ; Guotao LU ; Gang WANG ; Zipeng LU ; Fei LI ; Li WEN ; Feng CAO
Chinese Journal of Surgery 2025;63(8):720-726
Objective:To investigate the risk factors for patients with hypertriglyceridemia-related acute pancreatitis (HTG-AP) developing into severe acute pancreatitis or experiencing organ failure.Methods:This retrospective cohort study collected clinical data from 2 429 patients diagnosed with acute pancreatitis from five hospitals in China between January 2019 and December 2023 using a pre-designed data collection form. The cohort included 1 516 males and 913 females,with an age of (50.2±16.5)years(range: 11 to 99 years). Among them,353 patients (16.1%) had HTG-AP,while 1 846 (83.9%) had non-HTG-AP. HTG-AP was defined as serum triglyceride levels>500 mg/dl with other etiologies excluded. Intergroup comparisons were performed using t-tests,Mann-Whitney U test or χ2 tests,respectively. Univariate and multivariate logistic regression analyses were conducted to assess risk factors for severe acute pancreatitis after adjusting for potential confounders,and a predictive model was developed and validated. Results:Compared with other etiologies,HTG-AP patients had a higher risk of progressing to SAP ( OR=1.415,95% CI: 0.866 to 2.312, P=0.017) and organ failure ( OR=1.256,95% CI: 1.015 to 1.554, P=0.036). Among HTG-AP patients,risk factors for SAP included body mass index ( OR=1.856,95% CI: 1.742 to 1.987, P=0.033),fasting blood glucose ( OR=1.128,95% CI: 1.036 to 1.229, P=0.006),white blood cell count( OR=1.162,95% CI: 1.055 to 1.281, P=0.002),and the presence of pleural effusion ( OR=13.151,95% CI: 4.330 to 19.946, P<0.01). A nomogram prediction model for SAP in HTG-AP was constructed based on these risk factors,demonstrating good discriminative ability with area under the curve values of 0.877 in the training set and 0.894 in the validation set,along with satisfactory calibration. Conclusions:HTG-AP patients are at higher risk of developing SAP and organ failure. The risk prediction model incorporating body mass index,fasting blood glucose,white blood cell count,and pleural effusion shows good predictive value for SAP.

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