Hyperlipidemia is a common metabolic disorder driven by dysregulated lipid metabolism， whose pathological progression involves multifaceted interactions across various signaling pathways， including disrupted cholesterol homeostasis， insulin resistance， chronic inflammation， and oxidative stress. Although existing clinical medications such as statins can effectively reduce low-density lipoprotein cholesterol through single-target inhibition， significant limitations remain in comprehensively improving reverse cholesterol transport， metabolic inflammation， and coordinated regulation of glucose and lipid metabolism. Curcumin， the primary polyphenolic active compound derived from the traditional medicinal herb turmeric， exhibits multi-dimensional pharmacological effects including modulation of lipid metabolism， improvement of insulin sensitivity， suppression of inflammatory responses， and enhancement of antioxidant defense. This review systematically integrates the multi-target regulatory network of curcumin， elucidating its key mechanisms： Balancing the low density lipoprotein receptor/proprotein convertase subtilisin/kexin type 9 （LDLR/PCSK9） signaling pathway to promote reverse cholesterol transport， activating peroxisome proliferator-activated receptor α/γ （PPARα/γ） signaling pathways to coordinate glucolipid metabolic homeostasis， remodeling the gut microbiota-bile acid axis， inhibiting nuclear factor kappa-B （NF-κB）-mediated inflammatory responses， and activating the nuclear factor erythroid 2-related factor 2/antioxidant response element （Nrf2/ARE） antioxidant signaling pathway. Furthermore， supported by clinical research data， the review validates curcumin's therapeutic potential in reducing total cholesterol （TC） and triglyceride （TG） levels， increasing high-density lipoprotein cholesterol （HDL-C）， as well as improving vascular endothelial function and insulin sensitivity. The study highlights the multi-target regulatory properties of curcumin and discusses future clinical applications based on nano-delivery systems and personalized treatment strategies， providing a theoretical basis and novel insights for the prevention and treatment of hyperlipidemia and related metabolic disorders.

Objective To investigate the application of the"integration of four dimensions(mainline teaching-on-line course-medical case-mind map)"teaching mode in the undergraduate compulsory teaching course"Health-care-associated Infection Control",and provide reference for further improving the design of undergraduate compul-sory course on infection control.Methods A questionnaire survey on undergraduate students' satisfaction for com-pulsory course"Healthcare-associated Infection Control"was conducted using KANO model.A total of 4 dimen-sions and 21 quality indicators were set up.KANO attribute classification,satisfaction degree,and importance coef-ficients etc.were analyzed,and curriculum design was optimized.Results The overall questionnaire reliability Cronbach's a coefficient was 0.915,and the validity analysis Kaiser-Meyer-Olkin(KMO)measure of sampling adequacy value was 0.867.Among the 21 quality indicators,12 were charismatic attributes,which accounted for the largest proportion(57.14％)of the total indicators.Most quality indicators received high student satisfaction ratings.The indicators with the highest satisfaction coefficients were"playing teaching videos in class"(4.73),along with"in-tegrating typical healthcare-associated infection cases into the curriculum for relevant teaching""maintaining a relax-ed and pleasant teaching atmosphere",and"humorous and witty teaching style of the teacher"(all scoring 4.71).Four important but currently with low satisfaction indicators were"combining course content with utilitarian exam preparation""adopting a completely offline teaching format""adopting relatively strict assessment methods",and"reflecting differentiation based on difficulty coefficient in final assessment".Conclusion This course has achieved certain efficacy in undergraduate compulsory education,but there is still room for improvement in the setting of cur-riculum assessment methods.In the future,the course system should be integrated,the assessment mode of combi-ning theory and practice should be optimized,and course improvement and innovation should be promoted.

Objective To investigate the application of the"integration of four dimensions(mainline teaching-on-line course-medical case-mind map)"teaching mode in the undergraduate compulsory teaching course"Health-care-associated Infection Control",and provide reference for further improving the design of undergraduate compul-sory course on infection control.Methods A questionnaire survey on undergraduate students' satisfaction for com-pulsory course"Healthcare-associated Infection Control"was conducted using KANO model.A total of 4 dimen-sions and 21 quality indicators were set up.KANO attribute classification,satisfaction degree,and importance coef-ficients etc.were analyzed,and curriculum design was optimized.Results The overall questionnaire reliability Cronbach's a coefficient was 0.915,and the validity analysis Kaiser-Meyer-Olkin(KMO)measure of sampling adequacy value was 0.867.Among the 21 quality indicators,12 were charismatic attributes,which accounted for the largest proportion(57.14％)of the total indicators.Most quality indicators received high student satisfaction ratings.The indicators with the highest satisfaction coefficients were"playing teaching videos in class"(4.73),along with"in-tegrating typical healthcare-associated infection cases into the curriculum for relevant teaching""maintaining a relax-ed and pleasant teaching atmosphere",and"humorous and witty teaching style of the teacher"(all scoring 4.71).Four important but currently with low satisfaction indicators were"combining course content with utilitarian exam preparation""adopting a completely offline teaching format""adopting relatively strict assessment methods",and"reflecting differentiation based on difficulty coefficient in final assessment".Conclusion This course has achieved certain efficacy in undergraduate compulsory education,but there is still room for improvement in the setting of cur-riculum assessment methods.In the future,the course system should be integrated,the assessment mode of combi-ning theory and practice should be optimized,and course improvement and innovation should be promoted.

Objective:To explore the clinical features and prognosis of patients with primary central nervous system lymphoma(PCNSL).Methods:A retrospective analysis was performed on the relationship between clinical features,treatment regimen and prognosis in 46 newly diagnosed patients with primary central nervous system lymphoma who were diagnosed and treated in The Second Hospital of Lanzhou University from January 2015 to September 2022.Fisher's exact probability method was used to analyze the differences in clinical data of different subgroups.Kaplan-Meier survival curve was used to analyze the overall survival rate and progression-free survival rate of patients with different treatments,and the factors influencing survival were analyzed.Results:Among 46 patients with PCNSL,which pathological type were diffuse large B-cell lymphoma(DLBCL).There were 26(56.5％)cases of male and 20(43.5％)of female,with a median age of 54(17-71)years.In Hans subtypes,14 cases(30.4％)of GCB subtype,32 cases(69.6％)of non-GCB subtype.32 cases(69.6％)of Ki-67 ≥80％.Among 36 patients who completed at least 2 cycles of treatment with follow-up data,the efficacy evaluation was as follows:overall response rate(ORR)was 63.9％,complete response(CR)rate was 47.2％,17 cases of CR,6 cases of PR.The 1-year progression-free survival rate and 1-year overall survival rate was 73.6％and 84.9％,respectively.The 2-year progression-free survival rate and 2-year overall survival rate was 52.2％and 68.9％,respectively.The ORR and CR rate of 17 patients treated with RMT regimen was 76.5％and 52.9％(9 cases CR and 4 cases PR),respectively.Univariate analysis of 3 groups of patients treated with RMT regimen,RM-BTKi regimen,and RM-TT regimen as first-line treament showed that deep brain infiltration was associated with adverse PFS(P=0.032),and treatment regimen was associated with adverse OS in PCNSL patients(P=0.025).Conclusion:Different treatment modalities were independent prognosis predictors for OS,the deep brain infiltration of PCNSL is a poor predictive factor for PFS.Patients with relapse/refractory(R/R)PCNSL have a longer overall survival time because to the novel medication BTKi.They have strong toleration and therapeutic potential as a first-line therapy for high-risk patients.

Objective Analyzing risk factors for prolonged ICU stay after cardiac surgery of Infective Endocarditis(IE)provides a basis for preventing extended ICU durations in postoperative IE cases.Methods From January 1,2019,to March 31,2021,a total of 223 patients with infective endocarditis who underwent cardiac surgery in the cardiac surgery department of Guangdong Provincial People's Hospital were included.Patients were divided into non-prolonged group(<3 days)and prolonged group(≥3 days)based on postoperative ICU stay duration.There were 156 cases in the non-prolonged group and 67 cases in the prolonged group.Single-factor analysis of risk factors for prolonged ICU stay was conducted using t-tests or rank-sum tests.Variables with P<0.05 in the single-factor analysis were further subjected to binary logistic regression for multivariate analysis.The accuracy of the model was evaluated using the ROC curve.Results Among the 223 patients,67 experienced prolonged ICU stay,with an incidence rate of 30%.Single-factor analysis results included gender,age,history of coronary heart disease,history of stroke,preoperative heart failure,aortic valve regurgitation area,left ventricular end-diastolic diameter,left ventricular ejection fraction(LVEF)<60%,extracorporeal circulation time,aortic cross-clamp time,use of Intra-Aortic Balloon Pump(IABP),endotracheal tube reintubation,pulmonary infection,use of Continuous Renal Replacement Therapy(CRRT),and prolonged mechanical ventilation time(>24 hours),among others.Multivariate analysis results revealed that preoperative LVEF<60%(OR=3.004,P=0.041),postopera-tive use of IABP(OR=31.686,P=0.008),and mechanical ventilation time>24 hours(OR=8.135,P<0.001)were independent risk factors for prolonged ICU stay after cardiac surgery.The model's AUC value for predicting risk factors for prolonged ICU stay was 0.858(95%CI:0.806～0.901,P<0.001).Conclusion Preoperative left ventricular ejection fraction(LVEF)<60%,the use of IABP,and mechanical ventilation time>24 hours were identified as independent risk factors for prolonged ICU stay after infective endocarditis(IE)surgery.In clinical practice,it is important to comprehensively address and manage various risk factors with the aim of reducing ICU stay duration and improving the overall success rate of the surgery.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Aim To disclose the subcellular localiza-tion,expression pattern,cellular physiological function and possible molecular mechanism of C12ORF56,a novel gene located at q14.2 of chromosome 12,in the pathogenesis of lung cancer.Methods ONCOMINE database was applied to investigate the mRNA level dif-fering of C12ORF56 between normal and lung cancer tissues.Analysis based on LinkedOmics,Metascape,String and GSEA database or tools provided indication of potential cellular physiological functions of C12ORF56 in the developing of lung cancer.C12ORF56 was knocked down via siRNA and the pro-liferation of NCI-H1073 cells were observed by EdU and CCK-8 assay.RT-qPCR was used to detect the ex-pression level of C12ORF56 of lung cancer cells on dif-ferent cycle phases.The core sequence regions of pro-moter affecting the transcription of C12ORF56 gene were analyzed by Jaspar online-tools and verified by dual-luciferase assay.Results C12ORF56 was highly expressed in lung cancer cells,especially in squamous cell lung cancer.C12ORF56 correlated with cell cy-cle,cancer immune,DNA replication.Knockdown of C12ORF56 reduced NCI-H1703 cell proliferation.Conclusion The up-regulation of C12ORF56 is in-volved in the development of lung cancer by enhancing lung cancer cell proliferation.

A qualitative identification method for Salmonella using high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)with multiple reaction monitoring(MRM)mode was established.Eight characteristic peptides were selected,and their MRM parameters were optimized.Furthermore,the performance of this HPLC-MS/MS method in species identification was further evaluated.Experimental results demonstrated that this method exhibited high specificity,enabling accurate differentiation of Salmonella from conventional food-borne pathogens.In a milk matrix,the 50%limit of detection(LOD50)was determined to be 0.35 CFU/25 g.This method was successfully applied to qualitatively identify Salmonellain five artificially contaminated food samples.The method presented here,in contrast to traditional biochemical assays,offered both speed and specificity,providing a novel means for the rapid and accurate identification of Salmonella in food.It held significant implications for the surveillance,prevention,and control of food-borne diseases.

The breakage pattern of unit particles during the production of oral solid dosage forms (OSD) is closely related to the quality of intermediate or final products. To accurately characterize the particles and study the evolution law of particle breakage, the Bonding model of the discrete element method (DEM) was used to investigate the breakage patterns of model parameters, particle shape and process conditions (loading mode and loading rate) on the dynamic breakage, force-time curve, breakage rate, maximum breakage size ratio and fracture strength of particles. The results showed that the particle breakage force was positively correlated with normal strength and bonded disk scale, negatively correlated with normal stiffness per unit area and tangential stiffness per unit area, and weakly correlated with tangential strength. The particle breakage rate was negatively correlated with the aspect ratio of the particles, and the maximum breakage size ratio was positively correlated with the aspect ratio of the particles; among the three loading modes, the breakage rate of compression breakage model was the largest, the breakage rate of shear breakage model was the second largest, and the breakage rate of wear breakage model was the smallest; the maximum breakage size ratio was positively correlated with the loading rate, the loading mode and the loading rate had no mutual influence on particle breakage rate, but had mutual influence on the maximum breakage size ratio. The research results will provide a theoretical basis for the shift of OSD from batch manufacturing to advanced manufacturing.

Objective: To understand the current status of diagnosis and treatment of chronic lymphocytic leukemia (CLL) /small lymphocytic lymphoma (SLL) among hematologists, oncologists, and lymphoma physicians from hospitals of different levels in China. Methods: This multicenter questionnaire survey was conducted from March 2021 to July 2021 and included 1,000 eligible physicians. A combination of face-to-face interviews and online questionnaire surveys was used. A standardized questionnaire regarding the composition of patients treated for CLL/SLL, disease diagnosis and prognosis evaluation, concomitant diseases, organ function evaluation, treatment selection, and Bruton tyrosine kinase (BTK) inhibitor was used. Results: ①The interviewed physicians stated that the proportion of male patients treated for CLL/SLL is higher than that of females, and the age is mainly concentrated in 61-70 years old. ②Most of the interviewed physicians conducted tests, such as bone marrow biopsies and immunohistochemistry, for patient diagnosis, in addition to the blood test. ③Only 13.7% of the interviewed physicians fully grasped the initial treatment indications recommended by the existing guidelines. ④In terms of cognition of high-risk prognostic factors, physicians' knowledge of unmutated immunoglobulin heavy-chain variable and 11q- is far inferior to that of TP53 mutation and complex karyotype, which are two high-risk prognostic factors, and only 17.1% of the interviewed physicians fully mastered CLL International Prognostic Index scoring system. ⑤Among the first-line treatment strategy, BTK inhibitors are used for different types of patients, and physicians have formed a certain understanding that BTK inhibitors should be preferentially used in patients with high-risk factors and elderly patients, but the actual use of BTK inhibitors in different types of patients is not high (31.6%-46.0%). ⑥BTK inhibitors at a reduced dose in actual clinical treatment were used by 69.0% of the physicians, and 66.8% of the physicians had interrupted the BTK inhibitor for >12 days in actual clinical treatment. The use of BTK inhibitors is reduced or interrupted mainly because of adverse reactions, such as atrial fibrillation, severe bone marrow suppression, hemorrhage, and pulmonary infection, as well as patients' payment capacity and effective disease progression control. ⑦Some differences were found in the perceptions and behaviors of hematologists and oncologists regarding the prognostic assessment of CLL/SLL, the choice of treatment options, the clinical use of BTK inhibitors, etc. Conclusion: At present, a gap remains between the diagnosis and treatment of CLL/SLL among Chinese physicians compared with the recommendations in the guidelines regarding the diagnostic criteria, treatment indications, prognosis assessment, accompanying disease assessment, treatment strategy selection, and rational BTK inhibitor use, especially the proportion of dose reduction or BTK inhibitor discontinuation due to high adverse events.
Female ; Humans ; Male ; Aged ; Middle Aged ; Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy* ; Prognosis ; Lymphoma, B-Cell ; Immunohistochemistry ; Immunoglobulin Heavy Chains/therapeutic use*