OBJECTIVES: To develop a risk prediction model for left ventricular adverse remodeling (LVAR) based on cardiac magnetic resonance (CMR) parameters in patients undergoing percutaneous coronary intervention (PCI) for acute ST-segment elevation myocardial infarction (STEMI). METHODS: A total of 329 acute STEMI patients undergoing primary PCI at 8 medical centers from January, 2018 to December, 2021 were prospectively enrolled. The parameters of CMR, performed at 7±2 days and 6 months post-PCI, were analyzed using CVI42 software. LVAR was defined as an increase >20% in left ventricular end-diastolic volume or >15% in left ventricular end-systolic volume at 6 months compared to baseline. The patients were randomized into training (n=230) and validation (n=99) sets in a 7∶3 ratio. In the training set, potential predictors were selected using LASSO regression, followed by univariate and multivariate logistic regression to construct a nomogram. Model performance was evaluated using receiver-operating characteristic (ROC) curves, area under the curve (AUC), calibration curves, and decision curve analysis. RESULTS: LVAR occurred in 100 patients (30.40%), who had a higher incidence of major adverse cardiovascular events than those without LVAR (58.00% vs 16.16%, P<0.001). Left ventricular global longitudinal strain (LVGLS; OR=0.76, 95% CI: 0.61-0.95, P=0.015) and left atrial active strain (LAAS; OR=0.78, 95% CI: 0.67-0.92, P=0.003) were protective factors for LVAR, while infarct size (IS; OR=1.05, 95% CI: 1.01-1.10, P=0.017) and microvascular obstruction (MVO; OR=1.26, 95% CI: 1.01-1.59, P=0.048) were risk factors for LVAR. The nomogram had an AUC of 0.90 (95% CI: 0.86-0.94) in the training set and an AUC of 0.88 (95% CI: 0.81-0.94) in the validation set. CONCLUSIONS LVGLS, LAAS, IS, and MVO are independent predictors of LVAR in STEMI patients following PCI. The constructed nomogram has a strong predictive ability to provide assistance for management and early intervention of LVAR.
Humans ; Percutaneous Coronary Intervention ; Prospective Studies ; ST Elevation Myocardial Infarction/diagnostic imaging* ; Ventricular Remodeling ; Magnetic Resonance Imaging ; Male ; Female ; Middle Aged ; Risk Factors ; Aged ; Risk Assessment

Objective To investigate the expression of Tropomyosin 4(TPM4)in thyroid cancer and its effects on the invasion and migration of thyroid cancer cells.Methods The expression level and prognostic value of TPM4 in thyroid cancer were analyzed based on bioinformatics,and its functional involvement was explored through Gene Set Enrichment Analysis(GSEA).In thyroid cancer K1 cells,lentiviral transfection was performed to establish the experimental group(TPM4 shRNA),the negative control group(empty lentiviral transfection),and the control group(untreated).Cell viability and proliferation were assessed using CCK-8 and BrdU assays.Transwell migration and invasion assays were performed to evaluate the effects of TPM4 on the migratory and invasive capacities of thyroid cancer cells.Results TPM4 expression was significantly upregulated in thyroid cancer(P<0.05)and correlated with TNM staging(P<0.05).Patients with higher TPM4 expression in advanced TNM stages exhibited poorer prognosis(P<0.05).GSEA results indicated that high TPM4 expression was enriched in gene sets associated with epithelial-mesenchymal transition,inflammatory response,P53 signaling pathway,and cell cycle.Following TPM4 knockdown in K1 cells,thyroid cancer cell growth was slowed(P<0.01),proliferative activity was decreased(P<0.001),and invasion and migration abilities were significantly impaired(P<0.001).Conclusion TPM4 is highly expressed in thyroid cancer and promotes the invasion and migration capabilities of thyroid cancer cells.

Objective: To explore the mechanism of cistanche deserticola(meat cistanche) in treating Alzheimer′s disease(AD) through network pharmacology, molecular docking, and animal experiments. Methods : Effective components of meat cistanche were mined from the TCMSP database, and AD-related targets were filtered using the SwissTargetPrediction, DisGeNET, and GeneCards databases. The intersection of these targets was analyzed using protein-protein interaction(PPI) networks. Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses were conducted via the Metascape database. Molecular docking of meat cistanche′s active components with core targets was performed using AutoDock Vina. Based on network pharmacology predictions, an AD model was established using 8-month-old SAMP8 mice, with Morris water maze tests assessing learning and cognitive functions, Nissl staining observing hippocampal neuron morphology, and enzyme-linked immunosorbent assays and Western blotting detecting the expression levels of cAMP signaling pathway-related proteins in hippocampal tissues. Results : Network pharmacology analysis predicted that meat cistanche might act on 74 AD targets through 8 active components. Molecular docking showed high affinity of active components like acteoside with core targets such as ESR1, BDNF, MAPK1, and APP. KEGG analysis indicated involvement in pathways related to cancer, cAMP signaling, and AD. Animal experiments demonstrated that meat cistanche effectively improved learning and cognitive impairments in AD mice and alleviated hippocampal neuron damage. ELISA and Western blotting results indicated that meat cistanche significantly increased the expression levels of cAMP, PKA, P-CREB in the cAMP pathway and promoted the expression of downstream neurotrophic factor BDNF. Conclusion Meat cistanche can improve learning and cognitive disorders in AD model mice and may exert therapeutic effects on AD by up-regulating the cAMP signaling pathway and the expression of downstream BDNF protein targets, thereby improving hippocampal neuron injury.

Objective:To investigate the effect of β-elemene on mitochondrial structure and function of the A549 cells of non-small cell lung cancer(NSCLC),and to elucidate the mechanism of β-elemene in the treatment of NSCLC.Methods:The A549 cells at logarithmic growth stage were divided into blank control group(0 mng·L-1 β-elemene),low,medium and high doses of β-elemene groups(10,25 and 50 mg·L-1),and solvent control group(0.5％ethanol in equal volume).After treatment for 24 h,the cell activities in various groups were detected by MTT assay;the morphology changes of mitochondria in the cells in various groups was observed by transmission electron microscope;the levels of adenosine 5′-triphosphate(ATP)in the cells in various groups were detected by colorimetry;the mitochondrial membrane potential of the A549 cells in various groups were detected by JC-1 flow cytometry;mitochondrial membrane permeability transfer hole assay was used to detect the mitochondrial membrane permeabilities of the cells in various groups.Results:The MTT results showed that compared with blank control group,the cell activities in low,medium and high doses of β-elemene groups were decreased gradually(P＜0.05),while the cell activity in solvent control group had no significant change,and the difference was not significant(P＞0.05).The transmission electron microscope results showed that compared with blank control group,the mitochondria of A549 cells in low,medium and high doses ofβ-elemene groups showed swelling,vacuolation,disordered arrangement and dissolution,while the mitochondrial morphology of the A549 cells in solvent control group had no significant changes.The colorimetric method results showed that compared with blank control group,the ATP levels in the A549 cells in low,medium and high dose β-elemene groups were gradually decreased(P＜0.05),while the ATP level in the A549 cells in solvent control group had no significant change,and the difference was not significant(P＞0.05).The JC-1 flow cytometry method results showed that compared with blank control group,the mitochondrial membrane potential of the A549 cells in low,medium and high doses ofβ-elemene groups were decreased,and the percentages of the cells in Q2-4 region were increased(P＜0.05);the percentage of the A549 cells in the Q2-4 region in solvent control group had no significant change.The results of mitochondrial membrane permeability transfer hole experiment showed that compared with blank control group,the mitochondrial membrane permeabilities of the A549 cells in low,medium and high doses of β-elemene groups were increased,and the percentages of the cells in M4 region were increased(P＜0.05);the mitochondrial membrane permeability of the A549 cells and the percentage of the M4 cells in solvent control group had no significant changes,and the difference was not significant(P＞0.05).Conclusion:β-elemene can inhibit the proliferation of the A549 cells,and the mechanism may be that the mitochondrial structure of A549 cells is damaged by reducing the level of ATP and mitochondrial membrane potential,changing the mitochondrial morphology and increasing the mitochondrial membrane permeability.

Objective:To explore the effect of pentraxin 3 (PTX3) on memory improvement and Aβ expression in Alzheimer's disease (AD) model mice.Methods:(1) Ten 5-month-old 5×FAD mice were randomly divided into PTX3 group and model group ( n=5); 5 C57BL/6 wild-type mice at the same age were selected as control group; mice in the PTX3 group and control group were stereotactically injected 4 μL 0.5 g/L PTX3 or same dose of phosphate buffered saline (PBS); Morris water maze test was used to detect the learning and memory abilities, Y maze test was used to detect the short-term memory, and ELISA was used to obsevre the contents of Aβ 40 and Aβ 42 in the brain hemisphere. (2) Twenty-five 3-month-old 5×FAD mice were randomly divided into model group, 2 μg/kg PTX3 group, 4 μg/kg PTX3 group, 8 μg/kg PTX3 group, and 16 μg/kg PTX3 group ( n=5); 5 C57BL/6 wild-type mice at the same age were selected as control group; mice in the PTX3 groups were intranasally injected 2, 4, 8, and 16 μg/kg PTX3, respectively; those in the model group and control group were intranasally injected same dose of PBS; injection was given once every 96 h for a total of 7 times. Morris water maze test was used to detect the learning and memory abilities, Y maze test was used to detect the short-term memory, and ELISA was used to obsevre the contents of Aβ 40 and Aβ 42 in the hippocampus. Results:(1) Compared with the model group, the PTX3 group had significantly shorter platform latency, higher percentage of exploration time and higher percentage of spontaneous alternations ( P<0.05). Compared with those in model group ([63.38±21.42] pg/mL, [29.77±6.11] pg/mL), the concentrations of Aβ 40 and Aβ 42 in the brain tissues of PTX3 group ([15.87±2.11] pg/mL, [16.55±1.95] pg/mL) were statistically lower ( P<0.05). (2) Compared with the model group, the 16 μg/kg PTX3 group had significantly shorter escape latency and higher percentage of exploration time ( P<0.05); compared with the model group, the 2 μg/kg PTX3 group and 16 μg/kg PTX3 group had significantly higher percentage of spontaneous alternations ( P<0.05). The contents of Aβ 40 and Aβ 42 in the hippocampus of 8 μg/kg PTX3 group and 16 μg/kg PTX3 group were statistically lower compared with those in the model group ( P<0.05). Conclusion:PTX3 may attenuate cognitive deficits and decrease Aβ expression in the brain or hippocampus tissues of 5×FAD mice with AD.

China prospective multicenter birth cohort (Prospective Omics Health Atlas birth cohort, POHA birth cohort) study was officially launched in 2022. This study, in collaboration with 12 participating units, aims to establish a high-quality, multidimensional cohort comprising 20 000 naturally conceived families and assisted reproductive families. The study involves long-term follow-up of parents and offspring, with corresponding biological samples collected at key time points. Through multi-omics testing and analysis, the study aims to conduct multi-omics big data research across the entire maternal and infant life cycle. The goal is to identify new biomarkers for maternal and infant diseases and provide scientific evidence for risk prediction related to maternal diseases and neonatal health.

Objective To determine the chemical constituents in BSLYT by ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS/MS),and to establish a high-performance liquid chromatographic fingerprint of the material basis of BSLYT and the content determination of its six main constituents,mononoside,loganin,oroxin A,oroxin B,baicalein and astilbin,providing a reference for the quality control.Methods The mass spectrometry data were used to establish the fingerprints.The content of the main components in the BSLYT samples was calculated by using the external method,and the discrepency between different batches of samples were analyzed by combining with chemometric methods.Results A total of 69 compounds were identified by mass spectrometry,and 13 compounds were identified after comparison with high-performance liquid chromatography(HPLC).The similarity of the baseline characterization profiles of the 15 batches of BSLYT substances was above 0.90,and a total of 27 common peaks were identified.Cluster analysis(CA)classified the substance benchmarks into 2 classes,S1,S2,S5,S8,S9,S13,and S15 were clustered into one class,and S3,S4,S6,S7,S10-S12,and S16 were clustered into one class.By combining PCA and OPLS-DA,the chemical components affecting the baseline classification of the substances were screened and attributed to wood butterfly,cornelian cherry and cocos nigra,respectively.The contents of six components were determined by MICS,which ranged from 0.31%-0.51%,0.12%-0.22%,0.09%-0.19%,0.09%-0.24%,0.07%-0.18%,and 0.08%-0.29%for mononoside,loganin,oroxin A,oroxin B,baicalein and astilbin respectively.Conclusion The fingerprint and multi-indicator content determination method established in this paper are accurate and stable,which provide a basis for the quality control of the material benchmark of Kidney and Pharynx Formula and its related preparations.

Objective To investigate the relationship between systemic immune-inflammation index (SII)and lower extremity vascular disease in patients with type 2 diabetes mellitus (T2DM).Methods A cross-sectional study was conducted on 390 T2DM patients admitted in our department from January 2013 to January 2024.According to the diagnostic criteria for lower extremity vascular disease in T2DM patients,they were divided into a lower extremity vascular disease group (n=158)and a control group (n=232).General data and results of laboratory tests were compared between the 2 groups.Spearman correlation analysis was used to identify the related factors for lower extremity vascular diseases in T2DM patients.The correlation between SII and lower extremity vascular diseases in T2DM patients was analyzed using the Row Mean Scores and Cochran-Armitage Trend analysis.Multivariate logistic regression analysis was applied to identify the risk factors for lower limb vascular lesions in T2DM patients.Receiver operating characteristic (ROC)curve was plotted to evaluate the diagnostic efficacy of SII for lower extremity vascular disease in the patients.Results Compared with T2DMpatients without lower extremity vascular disease,those with lower extremity vascular disease were older,had higher levels of total cholesterol (TC),low-density lipoprotein cholesterol (LDL-C),SII,larger proportion of carotid vascular lesions,and increased proportion of no-taking statins.The lower extremity vascular disease in T2DM patients was positively correlated with SII/100 (r=0.429,P<0.001),age (r=0.517,P<0.001),TC (r=0.161,P=0.001),LDL-C (r=0.117,P=0.021),carotid artery lesions (r=0.101,P=0.047),no-taking statins (r=0.266,P<0.001).Logistic regression analysis showed that SII,age,LDL-C,and no-taking statins were the risk factors for lower extremity vascular lesions in T2DM patients (P<0.01).The area under the curve (AUC)value of SII combined with age,LDL-C,and no-taking statins in predicting lower extremity vascular disease in T2DM patients was 0.896.Conclusion SII is not only a risk factor,but also a simple marker for lower extremity vascular disease in T2DM patients,suggesting that inflammatory response plays an important role in the occurrence and development of lower extremity vascular disease in T2DM.

Objective To assess the association between Metformin use and the risk of dementia in patients with type 2 diabetes mellitus(T2DM).Methods The research data came from the big medical data platform of Yinzhou District,and we constructed a cohort of T2DM patients who had initiated treatment of Metformin or sulfonylurea since January 1,2009.The inverse probability of treatment weighting(IPTW)was used to control the baseline confounding factors,and the Cox regression model was used to estimate the HR(95%CI)of the association between Metformin use and dementia risk.Results The incidence rate of dementia in new users of Metformin(41181 persons)and sulfonylureas(38092 persons)was 128.4 per 100000 person years and 142.3 per 100000 person years respectively.Compared with sulfonylureas,the crude analysis with no adjustment for confounding factors showed that there was a negative association between the use of Metformin and the incidence of dementia,with an HR(95%CI)0.930(0.800～1.090).After adjusting for potential confounders with IPTW,Metformin was not significantly associated with the risk of dementia HR(95%CI)1.040(0.890～1.220).The subgroup analysis results for different baseline characteristics were consistent with the primary analysis results,and there were no statistically significant associations between Metformin and dementia incidence risk in all subgroups.Conclusions There is no significant association between the use of Metformin and the risk of dementia in T2DM patients in the Yinzhou District.

Objective To observe the value of Zero-Shot Noise2Noise(ZS-N2N)based on Z-axis correlation for reducing noise of low dose CT(LDCT)images.Methods CT data of the cancer imaging archive were enrolled,including normal dose CT(NDCT)images and LDCT images,with 3 sets of chest and 3 sets of abdominal images.Noise on LDCT images were reduced with ZS-N2N method based on Z-axis correlation,and the peak signal-to-noise ratio(PSNR),structural similarity(SSIM)and time-consuming of reducing noise were compared with those of Self2Self,simple ZS-N2N and traditional Block-matching and 3D filtering(BM3D).Results After reducing noise,noise on Self2Self denoised images remained significant,the structure edges on BM3D denoised images were blurry with some details lost,while simple ZS-N2N and ZS-N2N based on Z-axis correlation denoised images preserved more details and had better quality.PSNR and SSIM of Self2Self denoised images were poor and the time-consuming were longer.PSNR,SSIM and time-consuming of the other 3 methods were similar,among which PSNR of ZS-N2N based on Z-axis correlation were slightly higher than BM3D and simple ZS-N2N,but the time-consuming were also slightly longer.Conclusion ZS-N2N based on Z-axis correlation had high value for reducing noise of LDCT images.