Objective: To develop a health literacy evaluation scale for Chinese high school students, providing a tool for dynamic monitoring of health literacy among high school students and evaluating the effectiveness of health school construction. Methods: Through theoretical research, an evaluation index system for health literacy of Chinese high school students was constructed. Two rounds of Delphi expert consultations were conducted to quantitatively screen the items, and the item pool was revised based on expert opinions to compile the health literacy evaluation scale for Chinese students. Two focus group interviews were held to collect suggestions from health educators, high school teachers, and high school students regarding optimized scale length, question types, difficulty and wording of the scale. The scale was revised accordingly. A pilot survey was conducted in Beijing and Tianjin in November 2024, and the reliability and validity of the scale were evaluated based on the pilot survey data. Results: The response rate in both rounds of Delphi expert consultations was over 80%, and the expert authority coefficient was over 0.70. The expert opinions were highly concentrated, and the dispersion was small. The revised item pool based on expert opinions contained 39 items. The revised scale based on the suggestions and opinions collected from the focus group interviews had a moderate number of questions and difficulty level. The pilot survey obtained 800 valid responses, with the response rate of 89.39%. The Cronbach α coefficient of the scale was 0.911, χ 2/df =3.321, the root mean square error of approximation was 0.054, the adjusted goodness-of-fit index was 0.991 , and the factor loadings of some items were less than 0.40. Conclusion The health literacy evaluation scale for Chinese high school students demonstrates scientific rigor and practical applicability, with good internal consistency and structural validity.

Objective: To develop and validate a health literacy assessment scale for junior high school students, providing an effective tool for evaluating and monitoring health literacy among Chinese adolescents. Methods: Based on school health education policy documents, a health literacy assessment framework was constructed, comprising five horizontal and four vertical dimensions. From May to June and August to September in 2024, the framework was refined through Delphi expert consultations and focus group discussions, leading to the development of the Health Literacy Assessment Scale for Junior High School Students. In September 2024, a convenience sample of 625 students from three junior high schools in Beijing and Tianjin completed the questionnaire. Item analysis, reliability, and validity tests were conducted to evaluate the scale. Results: The recovery rate for two rounds of expert consultation questionnaires was 100%. The expert authority coefficients ( Cr ) were 0.86 and 0.87 respectively (both >0.70), with Kendall W values of 0.34 and 0.27 ( P <0.05). The focus group discussions followed a rigorous structure, and after multiple rounds of item screening and revision, the version 3.0 of the junior high school students health literacy assessment scale was developed, comprising 57 items. Three items that failed to meet the comprehensive screening criteria were preliminarily removed, and the final scale contained 54 items. The scale demonstrated excellent reliability, with an overall Cronbach s α coefficient of 0.92 and split half reliability of 0.93. Confirmatory factor analysis [ χ 2/df =2.094, root mean square error of approximation ( RMSEA )=0.042, comparative fit index ( CFI )=0.911, Tucker Lewis index ( TLI )=0.907] indicated good model fit indices. Conclusions The preliminary development of the health literacy assessment scale for junior high school students follows a rigorous item screening process with well designed dimensions, demonstrating good reliability and validity, thus serving as an appropriate evaluation tool for adolescent health literacy.

Tailored lipid nanoparticles (LNPs)-mediated small interfering RNA (siRNA) nanomedicines show promise in treating liver disease, such as acute liver injury (ALI) and non-alcoholic steatohepatitis (NASH). However, constructing LNPs that address biosafety concerns, ensure efficient delivery, and target specific hepatic subcellular fractions has been challenging. To evade above obstacles, we develop three novel self-degradable "gemini-like" ionizable lipids (SS-MA, SS-DC, SS-MH) by incorporating disulfide bonds and modifying the length of ester bond and tertiary amino head. Our findings reveal that the disulfide-bond-bridged LNPs exhibit reduction-responsive drug release, improving both biosafety and siRNA delivery efficiency. Furthermore, the distance of ester bond and tertiary amino head significantly influences the LNPs' pK _a, thereby affecting endosomal escape, hemolytic efficiency, absorption capacity of ApoE, uptake efficiency of hepatocytes and liver accumulation. We also develop the modified-mannose LNPs (M-LNP) to target liver macrophages specifically. The optimized M-MH_LNP@TNFα exhibits potential in preventing ALI by decreasing tumor necrosis factor α (TNFα) levels in the macrophages, while MH_LNP@DGAT2 could treat NASH by selectively degrading diacylglycerol O-acyltransferase 2 (DGAT2) in the hepatocytes. Our findings provide new insights into developing novel highly effective and low-toxic "gemini-like" ionizable lipids for constructing LNPs, potentially achieving more effective treatment for hepatic diseases.

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Due to the non-targeted release and low solubility of anti-gastric cancer agent,apatinib(Apa),a first-line drug with long-term usage in a high dosage often induces multi-drug resistance and causes serious side effects.In order to avoid these drawbacks,lipid-film-coated Prussian blue nanoparticles(PB NPs)with hyaluronan(HA)modification was used for Apa loading to improve its solubility and targeting ability.Furthermore,anti-tumor compound of gamabufotalin(CS-6)was selected as a partner of Apa with reducing dosage for combinational gastric therapy.Thus,HA-Apa-Lip@PB-CS-6 NPs were constructed to synchro-nously transport the two drugs into tumor tissue.In vitro assay indicated that HA-Apa-Lip@PB-CS-6 NPs can synergistically inhibit proliferation and invasion/metastasis of BGC-823 cells via downregulating vascular endothelial growth factor receptor(VEGFR)and matrix metalloproteinase-9(MMP-9).In vivo assay demonstrated strongest anti-tumor growth and liver metastasis of HA-Apa-Lip@PB-CS-6 NPs adminis-tration in BGC-823 cells-bearing mice compared with other groups due to the excellent penetration in tumor tissues and outstanding synergistic effects.In summary,we have successfully developed a new nanocomplexes for synchronous Apa/CS-6 delivery and synergistic gastric cancer(GC)therapy.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Conventional chemotherapy based on cytotoxic drugs is facing tough challenges recently following the advances of monoclonal antibodies and molecularly targeted drugs. It is critical to inspire new potential to remodel the value of this classical therapeutic strategy. Here, we fabricate bisphosphonate coordination lipid nanogranules (BC-LNPs) and load paclitaxel (PTX) to boost the chemo- and immuno-therapeutic synergism of cytotoxic drugs. Alendronate in BC-LNPs@PTX, a bisphosphonate to block mevalonate metabolism, works as both the structure and drug constituent in nanogranules, where alendronate coordinated with calcium ions to form the particle core. The synergy of alendronate enhances the efficacy of paclitaxel, suppresses tumor metastasis, and alters the cytotoxic mechanism. Differing from the paclitaxel-induced apoptosis, the involvement of alendronate inhibits the mevalonate metabolism, changes the mitochondrial morphology, disturbs the redox homeostasis, and causes the accumulation of mitochondrial ROS and lethal lipid peroxides (LPO). These factors finally trigger the ferroptosis of tumor cells, an immunogenic cell death mode, which remodels the suppressive tumor immune microenvironment and synergizes with immunotherapy. Therefore, by switching paclitaxel-induced apoptosis to mevalonate metabolism-triggered ferroptosis, BC-LNPs@PTX provides new insight into the development of cytotoxic drugs and highlights the potential of metabolism regulation in cancer therapy.

  Objective  To investigate the predictive value of albumin-bilirubin (ALBI) score combined with liver function index and carcinoembryonic antigen (CEA) for liver metastasis of colorectal cancer.  Methods  We retrospectively analyzed the clinical data of patients with colorectal cancer who underwent surgical treatment in the Second Hospital & Clinical Medical Hospital, Lanzhou University from January 2016 to July 2021 and were followed up for 24 months. According to the follow-up results, the enrolled patients were divided into liver metastasis group and non-liver metastasis group, and were randomly divided into modeling group and validation group by a ratio of 2∶1. The risk factors of liver metastasis in the patients with colorectal cancer were analyzed. Lasso-Logistic regression was used to construct the prediction model. Bootstrap method was used for internal verification. Receiver operating characteristic curve, calibration curve and clinical decision curve were used to evaluate the reliability of the prediction model. Finally, a nomogram was drawn to show the prediction results.  Results  A total of 195 patients who met the inclusion and exclusion criteria were enrolled, including 130 in the modeling group and 65 in the validation group. Through Lasso regression variable screening and Logistic regression analysis, the results showed that ALBI score(OR=8.062, 95% CI: 2.545-25.540), alanine transaminase (ALT) (OR=1.037, 95% CI: 1.004-1.071) and CEA (OR=1.025, 95% CI: 1.008-1.043) were independent predictors of liver metastasis in colorectal cancer. The area under curve (AUC) of the combined prediction of liver metastasis of colorectal cancer in the modeling group was 0.921, the sensitivity was 78%, the specificity was 95%, the C-index was 0.921, the H-L fitting curve χ²=0.851, P=0.654, and the slope of the calibration curve was close to 1, suggesting that the accuracy of the model was high, and the DCA curve showed that the model had good clinical application value. For the data of the modeling group, the Bootstrap method was used for internal verification of 1000 resamplings. The accuracy was 0.869, the kappa consistency was 0.709, and the AUC was 0.913. When ALBI score, ALT and CEA were used to diagnose liver metastasis of colorectal cancer alone, the AUC of CEA was the largest (0.897), and the combination of the three had the highest efficacy in the diagnosis of liver metastasis of colorectal cancer. In the validation group, the AUC, sensitivity, specificity, C-index of the combined prediction of liver metastasis of colorectal cancer were 0.918, 85.0%, 95.6%, 0.918, respectively, and H-L fitting curve χ²=0.586, P=0.746.  Conclusions  ALBI score, ALT and CEA have certain predictive value for liver metastasis of colorectal cancer. The combined diagnosis of liver metastasis of colorectal cancer has high efficacy, and the risk prediction model constructed has a good predictive effect.

BACKGROUND:The preoperative planning of traditional X-ray films is often inaccurate,which can lead to some intraoperative and postoperative complications,increase the operation time and intraoperative blood loss,and to some extent affect the surgical outcome of total hip arthroplasty. OBJECTIVE:To investigate the accuracy and effectiveness of artificial intelligence preoperative planning in total hip arthroplasty. METHODS:Sixty patients who underwent primary total hip arthroplasty on the affected side were selected.30 of them used artificial intelligence 3D preoperative planning(trial group)and 30 used conventional X-ray film 2D preoperative planning(control group),and there were no statistically significant differences between the two groups in terms of gender,age,condition and other general data(P>0.05).The actual intraoperative prosthesis placement and preoperative planning prosthesis matching,intraoperative operation time,intraoperative blood loss,bilateral femoral eccentric distance difference,bilateral joint eccentric distance difference and bilateral lower limb length difference,and Harris score at 3 months after operation were compared between the two groups,and the accuracy and application effect of the two preoperative plans were analyzed. RESULTS AND CONCLUSION:(1)Patients in both groups were followed up for 4-6 months postoperatively.One patient in the control group had a posterior dislocation of the prosthesis at 5 days postoperatively,which recovered after performing manual repositioning without re-dislodgement.The rest of the patients did not have postoperative complications or postoperative death.(2)Complete matching rate of the prosthesis on the acetabular side and femoral side was significantly better in the trial group than that in the control group(P<0.05).(3)Operation time and intraoperative blood loss were significantly less in the trial group than those in the control group(P<0.05).(4)The difference in bilateral lower limb length between the two groups was statistically significant(P<0.05),and the difference in bilateral femoral eccentric distance and bilateral joint eccentric distance was not statistically significant(P>0.05).(5)Harris score of patients in the trial group was significantly higher than that in the control group 3 months after operation(P<0.05).(6)These results confirm that compared with traditional film planning,artificial intelligence preoperative planning can predict the prosthesis type more accurately,shorten the operation time,reduce intraoperative blood loss,diminish the occurrence of postoperative bilateral lower limb inequality,and accelerate postoperative recovery.

Objective To perform structural analysis on the homogeneous polysaccharide SP800301 isolated from Saposhnikoviae Radix to determine its chemical structure.Methods Polysaccharides were separated and purified from Saposhnikoviae Radix using column chromatography,such as DEAE-cellulose and Sephadex G-75.The molecular weight distribution,monosaccharide composition,oligosaccharide fragments,sugar residue types,and glycosidic bond connection of the isolated homogeneous polysaccharide SP800301 from Saposhnikoviae Radix were analyzed using electrospray ionization multistage mass spectrometry,gas chromatography-mass spectrometry,and nuclear magnetic resonance to determine its structure.The appearance characteristics of the Saposhnikoviae Radix polysaccharide were characterized using electron and atomic force microscopy.Results Polysaccharide SP800301 extracted from Saposhnikoviae Radix had good homogeneity with a molecular weight of 9.1×104 g/mol.The uronic acid content was 52.72%.The monosaccharide group comprised rhamnose,galacturonic acid,glucose,galactose,and arabinose,with a molar ratio of 4.3:58.1:25.4:5.0:7.3.The polysaccharide was mainly composed of polygalacturonic acid as the primary chain.The branched chain was comprised of rhamnose,galacturonic acid,galactose,glucose,and arabinose,with arabinose at the end of the branched chain and part of the galacturonic acid in the sugar chain forming a methyl ester.Conclusion This study clarified the chemical structure of the homogeneous polysaccharide SP800301 from Saposhnikoviae Radix,enriched the chemical composition of Saposhnikoviae Radix polysaccharides,laid the foundation for further research on the immune regulatory mechanism of Saposhnikoviae Radix polysaccharides,and provided a scientific basis for clinically using Saposhnikoviae Radix.