ObjectiveTo evaluate the predictive value of six surrogate indices of insulin resistance （IR） for cardiovascular disease （CVD） risk in adults with cardiovascular-kidney-metabolic syndrome （CKM） stages 0-3. MethodsRelated data of 6 813 participants from the China health and retirement longitudinal study （CHARLS） were analyzed. Cox proportional hazards models and restricted cubic spline （RCS） analyses were performed to evaluate the associations between six insulin resistance surrogate indices （TyG， TyG-BMI， TyG-WC， TyG-WHtR， TyG-CVAI， CVAI） and CVD incidence. Predictive performance of 6 indices was comprehensively compared from 3 dimensionalities， using receiver operating characteristic （ROC） curves for discriminative ability， net reclassification improvement （NRI） for incremental predictive value， and decision curve analysis （DCA） for clinical utility. ResultsAll six IR surrogate indices significantly predicted CVD in the CKM population. RCS analysis revealed linear associations between each index and CVD incidence. ROC analysis showed that CVAI had the highest AUC （0.628，95%CI： 0.611-0.646）， significantly outperforming the single TyG index （P=0.001 6）. NRI analysis indicated significant reclassification improvement for the event group with CVAI （event NRI=0.042 8）. DCA demonstrated that CVAI achieved the highest net benefit across most thresholds. Subgroup analysis confirmed stronger associations between CVAI and CVD risk in CKM stages 2-3. ConclusionsThese six IR surrogate indices serve as valuable tools for predicting CVD incidence in individuals with CKM stages 0-3. Among them， CVAI exhibits optimal predictive value for future CVD risk in adults with CKM stages 1-3.

Objective To explore the role of E1A binding protein p300 (EP300)-mediated crotonylation (Kcr) modification of malic enzyme 1 (ME1) in ferroptosis of renal tubular epithelial cells. Methods C57BL/6 mice were divided into Sham operation group (Sham group), DMSO vehicle control + ischemia-reperfusion (IR) injury group (Vehi + IR group), and EP300 inhibitor C646 + IR injury group (C646 + IR group), with 12 mice in each group. Pathological changes in renal tissues were evaluated in each group, and indicators of renal function, ferroptosis, and fibrosis were assessed. Another 24 mice were used to establish the IR injury model to analyze changes in Kcr modification levels and EP300 expression over the 14-day course of IR injury. The in vitro HK-2 cell experimental model was established and divided into control group, hypoxia/reoxygenation (H/R) group, and C646 + H/R group. Corresponding HK-2 cells were transfected with the ME1-K337R plasmid, in which lysine 337 (K) was mutated to arginine (R) to mimic the de-Kcr modification. Small interfering RNA was used to target EP300 and transfect the cells in order to obtain EP300 knockdown cells (siEP300). The expression of ferroptosis-related proteins and fibrosis phenotypes was detected. Results At 14 d after IR injury, the protein Kcr level and EP300 expression were increased in mice. Compared with the Sham group, the Vehi+IR group showed markedly disrupted renal tissue structure, extensive red collagen deposition in the renal interstitium, decreased expression levels of glutathione, reduced nicotinamide adenine dinucleotide phosphate (NADPH), and glutathione peroxidase 4 (GPX4, P＜0.01), increased malondialdehyde and serum creatinine levels (P＜0.01), decreased ME1 enzymatic activity (P＜0.001), and increased expression of fibronectin 1 and smooth muscle actin-α (P＜0.001). Compared with the Vehi+IR group, the C646+IR group showed alleviated renal pathological injury, improved renal function, and reduced ferroptosis and fibrosis (P＜0.05). Compared with the control group, HK-2 cells subjected to H/R treatment exhibited aggravated ferroptosis and fibrosis (P＜0.05); compared with the H/R group, the C646+H/R group showed reduced ferroptosis and fibrosis (P＜0.05). Transfection with the ME1-K337R plasmid and siEP300 showed reduced ME1 Kcr, ferroptosis, and fibrosis. Conclusions EP300 contributes to ferroptosis in renal tubular epithelial cells by mediating ME1 crotonylation, and inhibition of EP300 may help alleviate the chronic progression following IR injury.

ObjectiveTo investigate the association and translational mechanism between the hepatotoxicity of Xianling Gubao （XLGB） and its treatment of osteoporosis based on a zebrafish model. MethodsZebrafish were randomly selected four days after fertilization （4 dpf） and exposed to different concentrations of XLGB （0.7，0.35 mg·L^-1） for 96 h. At the endpoint of the exposure， the mortality rates of zebrafish in the treatment groups of different concentrations were counted， and the "dose-toxicity" curves were plotted. The 10% sublethal concentration （LC₁₀） was calculated. The liver area， acridine orange staining， and pathological tissue sections of transgenic zebrafish ［CZ16 （gz15Tg.Tg （fabp 10a： ds Red； ela31： EGFP）］ were used as indicators to confirm the hepatic damage caused by the sublethal concentration of XLGB. By using the prednisolone （PNSL）-induced osteoporosis model of zebrafish， the anti-osteoporosis activity of XLGB was evaluated by using the area of skull stained by alizarin red and the cumulative optical density value as indicators. Then， the toxicity difference of XLGB on the liver of zebrafish in healthy and osteoporotic states was compared， and the mechanism of the translational action of the toxicity of XLGB was predicted based on network pharmacology and real-time polymerase chain reaction（Real-time PCR）. ResultsThe LC₁₀ of XLGB on zebrafish （8 dpf） was 0.7 mg·L^-1. Compared with the blank group， the sublethal concentration （LC₁₀=0.7 mg·L^-1， 1/2 LC₁₀=0.35 mg·L^-1） of XLGB induced an increase in the number of apoptosis of hepatocytes in a dose-dependent manner， and the tissue arrangement of the liver was disordered and loose. The vacuoles were obvious， and the fluorescence area of the liver was significantly reduced （P<0.01）. Compared with the blank group， the mineralized area and cumulative optical density value of zebrafish skull in the PNSL model group were significantly reduced （P<0.01）， and those in the 0.7，0.35 mg·L^-1 XLGB treatment group were significantly increased compared with the model group （P<0.01）. Most importantly， 0.7 mg·L^-1 XLGB had no significant effect on the liver of zebrafish in the osteoporosis disease model compared with the blank group. The results of network pharmacology and real-time PCR experiments showed that the toxic transformation of XLGB might be related to the differences in the expression levels of key targets， such as tumor protein 53 （TP53）， cysteine aspartic acid specific protease-3（Caspase-3）， interleukin（IL）-6， and alkaline phosphatase（ALP） in different organismal states. ConclusionUnder certain conditions， XLGB has hepatotoxicity in normal zebrafish， but under osteoporotic conditions， XLGB not only exerts significant anti-osteoporosis activity but also alleviates hepatotoxicity significantly， which provides a reference for the safe clinical use of XLGB and real evidence for the theories of traditional Chinese medicine of attacking poison with poison and of treating disease with corresponding drugs without damage to the body.

Objective To investigate the effect of Lianpu Yin on duodenal microinflammation in rats with functional dyspepsia(FD)by regulating NLRP3 activation.Methods Wistar rats were randomly divided into blank group and model group.FD rats were reconstructed by iodoacetamide method(2%sucrose solution containing 0.1%iodoacetamide),and the model was verified.FD model rats were randomly divided into model group,Lianpu Yin group and Moxapride group by random number expression method.After a period of two weeks of administration,measurements were taken to determine the body mass,three-hour food consumption,as well as the rates of gastric emptying and intestinal propulsion.The pathological structure of duodenal tissue was observed by HE staining.The serum levels of IL-1β and IL-18 were quantified using the enzyme-linked immunosorbent assay(ELISA)method.The expression levels of NLRP3 and Caspase-1 in each group were detected by Western blot.Expression levels of NLRP3 and Caspase-1 proteins were detected by immunofluorescence.Results Compared with the blank group,body weight,food intake at 3 h,gastric emptyand intestinal propulsion rate in model group were significantly decreased(P<0.01),and inflammatory infiltration of duodenum tissue appeared in the model group.Meanwhile,the expressions of NLRP3 and Caspase-1 proteins,as well as the levels of IL-1β and IL-18 in the duodenal tissue of the model group,showed significant increasing(P<0.05).Compared with the model group,rats in the Lianpu Yin and Moxapride groups displayed significant increasing in body weight,gastric emptying rate,and intestinal propulsion rate(P<0.01).Additionally,inflammatory infiltration of duodenum tissue reduced in these groups.Furthermore,NLRP3 and Caspase-1 protein expressions,as well as IL-1β and IL-18 levels,significantly decreased in the Lianpu Yin and Moxapride groups compared to the model group(P<0.05).Conclusion Lianpu Yin can treat FD rats by inhibiting duodenal microinflammation and then restoring gastrointestinal motility,which may be related to the abnormal activation of NLRP3 inflammasome.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

Objective:To compare the efficacy, safety, and cost-effectiveness of the trastuzumab originator (HST) versus its biosimilar (HLX02) combined with pertuzumab and chemotherapy as neoadjuvant treatment in patients with HER-2-positive breast cancer.Methods:This retrospective cohort study included 175 patients with HER-2-positive breast cancer who received neoadjuvant therapy followed by curative surgery at the Cancer Hospital Chinese Academy of Medical Sciences between October 2020 and January 2024. Patients were divided into two groups based on the trastuzumab formulation used: the HST group ( n=89) and the HLX02 group ( n=86).The efficacy, safety, and trastuzumab-related treatment costs were compared between the two groups. Moreover, using Logistic regression model to identify the factors influencing total pathological complete response (tpCR) rates. Results:There were statistically significant differences in clinical T stage and surgical approach between the HST and HLX02 groups ( P＜0.05). Other clinicopathological characteristics, such as age and histological grade, showed no statistically significant differences ( P＞0.05), with most baseline characteristics remaining balanced between the two groups. There were no significant differences in tpCR rates ( P=0.957) or Miller-Payne (MP) grading rates ( P=0.991) between the HST and HLX02 groups. The tpCR rates for the two groups were 55.1% (49/89) and 54.7% (47/86), respectively. The rates of achieving grade 5 (G5) in the postoperative MP pathological grading system were 55.1% (49/89) and 55.8% (48/86), respectively, with no statistically significant difference ( P=0.991). Univariate and multivariate Logistic regression analyses showed that hormone receptor status is an independent risk factor affecting tpCR ( OR=0.31, 95% CI; 0.16-0.61, P＜0.001). The incidence of adverse event during neoadjuvant therapy was similar between the groups, with no occurrences of trastuzumab-related cardiac toxicity. The HLX02 regimen showed a lower cost-effectiveness ratio (586.48 vs. 604.96) and reduced trastuzumab treatment costs during neoadjuvant therapy compared to HST [tpCR:(31 208.37±2 191.00) CNY vs. (33 224.49±2 741.00) CNY; non-tpCR: 33 030.05±5 787.00) CNY vs. (33 412.50±4 203.00) CNY, P＜0.05]. Conclusions:In the neoadjuvant treatment of early-stage HER-2-positive breast cancer, HLX02 combined with pertuzumab and chemotherapy demonstrates similar efficacy and safety to the trastuzumab originator, while offering a significant cost advantage.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

There exist risks of ionizing radiation in radiodiagnosis examinations. Implementing shielding protection following the optimization and as low as reasonably achievable (ALARA) principles represents a measure to reduce radiation doses to patients. The implementation of shielding protection in clinical practices should meet high requirements due to variations in the modalities and items in radiodiagnosis examinations, the characteristics and irradiation method of X-ray beams, the method of automatic selection of image quality and radiation dose-related parameters by imaging equipment, the radiation sensitivity of human tissues and organs. This review introduced the shielding products, methods and effects in various radiodiagnosis examinations, as well as the current status and challenges in their applications, aiming to provide a reference for future related research and clinical practices.

Objective:To observe the effect of robot-assisted upper-limb training on motor function in stroke patients with hemiplegia,utilizing ultrasound shear wave elastography(SWE)for quantitative assessment of muscle fiber pa-rameters,and to explore the application value of SWE in evaluating stroke rehabilitation outcomes.Method:Sixty-one stroke patients with upper-limb dysfunction admitted to the Department of Rehabilitation Medicine,People's Hospital of Xinjiang Uygur Autonomous Region between August 2024 and February 2025 were randomly assigned to a control group(n=31)or an experimental group(n=30)using a random number table.The control group received conventional rehabilitation training(60 minutes/session,once daily,7 ses-sions/week for 3 weeks).The experimental group received conventional training(40 minutes)plus upper limb robot-assisted training(20 minutes),with the same frequency and duration.Both groups were assessed before and after treatment using the Brunnstrom recovery stage(BRS)for motor staging,Fugl-Meyer Assessment for Upper Extremity(FMA-UE),modified Ashworth scale(MAS),and modified Barthel index(MBI).SWE was used to measure quantitative muscle fiber parameters.Result:After treatment,both groups showed statistically significant improvements in FMA-UE and MBI scores compared to baseline(P<0.05),with significantly greater improvement in the experimental group(P<0.05).BRS scores improved significantly within the experimental group(P<0.05)but showed no significant be-tween-group difference(P>0.05).MAS scores showed no significant within-or between-group differences(P>0.05).The shear modulus(G-value)of the middle deltoid,biceps brachii,and brachioradialis(in both relaxed and stretched states)improved significantly in the experimental group compared with the control group(P<0.05).The experimental group also showed a significant increase in the triceps brachii G-value in the relaxed state compared with both baseline and the control group(P<0.05).Significant within-group improvements(P<0.05)were seen in the anterior deltoid(experimental group)and posterior deltoid(control group)in the re-laxed state,but no significant between-group differences existed(P>0.05).No significant within-or between-group differences were found in the G-value of the anterior deltoid(experimental),posterior deltoid(con-trol),or triceps brachii in the stretched state(P>0.05).Conclusion:Upper-limb rehabilitation robot-assisted training is superior to conventional rehabilitation training in improving upper-limb motor function and reducing flexor spasticity in stroke patients.SWE technology can be used in quantitatively assessing muscle structural parameters in stroke patients.

BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve