ObjectiveTo investigate the effect and underlying mechanism of the Wulao Qisun prescription on pathological new bone formation in ankylosing spondylitis （AS）. MethodsSynovial fibroblasts were isolated from the hip joints of AS patients and observed under a microscope to assess cell morphology. The cells were identified using immunofluorescence staining. The isolated AS fibroblasts were divided into blank group， low drug-containing serum group， medium drug-containing serum group， high drug-containing serum group， and positive drug group. After drug intervention， cell proliferation was measured using the cell counting kit-8 （CCK-8） assay to observe fibroblast growth and determine the optimal intervention time. Alkaline phosphatase （ALP） activity was measured using the alkaline phosphatase assay. Protein expression of osteocalcin （OCN）， osteopontin （OPN）， and runt-related transcription factor 2 （Runx2） was detected by Western blot. The mRNA expression levels of Wnt5a， β-catenin， and Dickkopf-1 （DKK-1） were measured by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， each drug-containing serum group of Wulao Qisun prescription and the positive drug group inhibited the proliferation of AS fibroblasts and reduced ALP expression （P<0.01）. Compared with the blank group， the low drug-containing serum group of Wulao Qisun prescription downregulated β-catenin mRNA expression （P<0.05）. The medium and high drug-containing serum groups and the positive drug group significantly downregulated Wnt5a and β-catenin mRNA expression （P<0.05， P<0.01）， with the positive drug group showing the most pronounced effect （P<0.01）. The high drug-containing serum group and the positive drug group significantly upregulated DKK-1 mRNA expression （P<0.01）. Compared with the blank group， the low drug-containing serum group of Wulao Qisun prescription inhibited the expression of OPN and Runx2 proteins （P<0.05， P<0.01）， while the medium and high drug-containing serum groups and the positive drug group inhibited the expression of OCN， OPN， and Runx2 proteins （P<0.05， P<0.01）. ConclusionThe Wulao Qisun prescription can inhibit the proliferation and osteogenic differentiation of AS fibroblasts， thereby delaying the formation of pathological new bone in AS. The possible mechanism involves the regulation of Wnt/β-catenin-related gene expression， further inhibiting the transcription of downstream target genes.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To investigate whether resveratrol alleviates hyperglycemia-induced cardiomyocyte hypertrophy by enhancing the expression of silent information regulation 2 homolog 1(SIRT1)to maintain mitochondrial homeostasis.Methods Rat cardiomyocytes H9c2 cells with or without lentivirus-mediated mRNA interference of SIRT1 were cultured in high glucose(HG)and treated with resveratrol for 72 h.The changes in superoxide dismutase(SOD)activity,malondialdehyde(MDA)content,reactive oxygen species(ROS)level,and relative surface of the cells were examined,and the mRNA expressions of atrial natriuretic factor(ANF)and brain natriuretic peptide(BNP)and protein expressions of SIRT1,mitochondrial fusion related proteins optic atrophy protein 1(OPA1)and mitofusin 2,mitochondrial division related proteins dynamin-related protein 1(DRP1)and fission protein 1(FIS1),and mitophagy-related proteins BNIP3L and LC3 were detected using RT-qPCR and Western blotting.Results HG exposure significantly decreased SOD activity,increased MDA content,ROS production,relative cell surface,and the mRNA expressions of ANF and BNP in the cardiomyocytes;the protein expressions of SIRT1,OPA1,mitofusin 2 and BNIP3L and LC3-Ⅱ/LC3-Ⅰ ratio were all decreased and the protein expressions of DRP1 and FIS1 increased in HG-exposed cells(P<0.01).All these changes in HG-exposed cardiomyocytes were significantly alleviated by treatment with resveratrol(P<0.05).The protective effects of resveratrol against HG exposure in the cardiomyocytes were obviously attenuated by transfection of the cells with si-SIRT1(P<0.05).Conclusion Resveratrol inhibits hyperglycemia-induced cardiomyocyte hypertrophy by reducing oxidative stress,the mechanisms of which involve enhancement of SIRT1 protein expression,regulation of mitochondrial fusion and division balance,and promoting BNIP3L-mediated mitophagy to maintain mitochondrial homeostasis in the cells.

Objective To investigate whether resveratrol alleviates hyperglycemia-induced cardiomyocyte hypertrophy by enhancing the expression of silent information regulation 2 homolog 1(SIRT1)to maintain mitochondrial homeostasis.Methods Rat cardiomyocytes H9c2 cells with or without lentivirus-mediated mRNA interference of SIRT1 were cultured in high glucose(HG)and treated with resveratrol for 72 h.The changes in superoxide dismutase(SOD)activity,malondialdehyde(MDA)content,reactive oxygen species(ROS)level,and relative surface of the cells were examined,and the mRNA expressions of atrial natriuretic factor(ANF)and brain natriuretic peptide(BNP)and protein expressions of SIRT1,mitochondrial fusion related proteins optic atrophy protein 1(OPA1)and mitofusin 2,mitochondrial division related proteins dynamin-related protein 1(DRP1)and fission protein 1(FIS1),and mitophagy-related proteins BNIP3L and LC3 were detected using RT-qPCR and Western blotting.Results HG exposure significantly decreased SOD activity,increased MDA content,ROS production,relative cell surface,and the mRNA expressions of ANF and BNP in the cardiomyocytes;the protein expressions of SIRT1,OPA1,mitofusin 2 and BNIP3L and LC3-Ⅱ/LC3-Ⅰ ratio were all decreased and the protein expressions of DRP1 and FIS1 increased in HG-exposed cells(P<0.01).All these changes in HG-exposed cardiomyocytes were significantly alleviated by treatment with resveratrol(P<0.05).The protective effects of resveratrol against HG exposure in the cardiomyocytes were obviously attenuated by transfection of the cells with si-SIRT1(P<0.05).Conclusion Resveratrol inhibits hyperglycemia-induced cardiomyocyte hypertrophy by reducing oxidative stress,the mechanisms of which involve enhancement of SIRT1 protein expression,regulation of mitochondrial fusion and division balance,and promoting BNIP3L-mediated mitophagy to maintain mitochondrial homeostasis in the cells.

Objective To explore the implementation effect of PDCA(plan-do-check-action)style training of severe ultrasound and hemodynamics in standardized training(residential training)for residents majoring in internal medicine on improving their clinical decision-making ability.Methods A retrospective research method was conducted,60 residents in Xinyang Central Hospital from July 2017 to July 2023 were selected as the research objects,and patients were randomly divided into experimental group and control group,with 30 residents in each group.After the routine entrance education,the experimental group applied the PDCA mode training of severe ultrasound and hemodynamics.The control group was trained with the training objectives and requirements of the department of critical care medicine in the contents and standards of standardized training for internal medicine residents for 2 months.At the end of the training period,the residents of the two groups were assessed and investigated by questionnaire,and the differences of theoretical knowledge assessment,clinical practice skills assessment,case assessment scores and satisfaction between the two groups were compared.Results The results of theoretical knowledge examination,diagnosis and differential diagnosis,and clinical decision-making in the experimental group were significantly higher than those in the control group(theoretical knowledge examination score:90.5±2.7 vs.85.7±3.8,diagnosis and differential diagnosis score:92.0±2.4 vs.87.9±3.7,clinical decision-making score:90.3±3.1 vs.85.5±3.9,all P<0.05),satisfaction with teaching methods,stimulating learning interest,firmly mastering knowledge,enhancing problem-solving ability,improving learning enthusiasm,improving clinical thinking ability and enhancing team consciousness was also significantly higher than that of the control group[teaching methods:80.0%(24/30)vs.46.7%(14/30),stimulate learning interest:83.3%(25/30)vs.56.7%(17/30),firmly mastering knowledge:80.0%(24/30)vs.40.0%(12/30),enhance problem-solving ability:70.0%(21/30)vs.43.3%(13/30),improving learning enthusiasm:83.3%(25/30)vs.50.0%(15/30),improving clinical thinking ability:60.0%(18/30)vs.40.0%(12/30),enhancing team consciousness:73.3%(22/30)vs.46.7%(14/30),all P<0.05].Conclusion The application of PDCA-style training of severe ultrasound and hemodynamics can help internal medicine residents master the basic theory and skills of severe diseases faster and better in the rotation of critical medicine departments,which is more conducive to improving the clinical decision-making ability of internal medicine residents.

Objective To study the cellular senescence and molecular mechanism of olaparib in MCF-7 breast cancer cells.Methods The effects of olaparib on the proliferation and migration of MCF-7 cells were detected dynamically by real-time cell analysis(RTCA)technology.The effects of olaparib on the Senescence was detected by using the senescence-associated β-galactosidase(SA-β-gal).Quantitative polymerase chain reaction was used to analyze the effects of olaparib on the expression levels of genes encoding the senescence-associated factors p16,p21,C/EBP homologous protein,interleukin(IL)-6,IL-8,plasminogen activator inhibitor 1,phosphatase and tensin homolog deleted on chromosome 10,p27,retinoblastoma gene,Ki67,and E2F1.The effects of olaparib on the expression levels of the senescence-associated proteins p21,γH2AX,pRB,cyclin D1,insulin-like growth factor binding protein 3,and Ki67 were analyzed by Western Blot.Results Olaparib inhibited the proliferation and migration and induced the senescence of MCF-7 cells.Long-term(96 h)treatment with olaparib significantly up-regulated the gene expression levels of p16,p21,p27,C/EBP homologous protein,IL-6,IL-8,plasminogen activator inhibitor 1,phosphatase and tensin homolog deleted on chromosome 10,and retinoblastoma protein(P＜0.01)and significantly down-regulated the gene expression levels of Ki67 and E2F1(P＜0.01)in MCF-7 cells.Olaparib significantly increased protein expression levels of p21,γH2AX,and insulin-like growth factor binding protein 3 in MCF-7 cells(P＜0.01,P＜0.01,P＜0.05)and significantly decreased cyclin D1,pRB,and Ki67 levels(P＜0.05,P＜0.01,P＜0.05).Conclusions Olaparib can inhibit proliferation and migration and induce senescence in MCF-7 breast cancer cells.

Rheumatoid arthritis （RA）， as an autoimmune disease， is mainly characterized by persistent synovitis. It often involves multiple joints symmetrically and can lead to joint deformity， joint function loss， and even disability in severe cases. The pathogenesis of RA is complex， and the prevention and treatment are complicated. Therefore， it is difficult to cure the disease completely. Previous studies have validated important targets and mechanisms for the prevention and treatment of RA， including the nuclear factor-κB （NF-κB） signaling pathway that controls the inflammatory process， nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway that regulates oxidative stress， inhibits inflammation， and maintains cell homeostasis， Wnt/β-catenin signaling pathway that plays a key role in cell growth， differentiation， apoptosis， and inflammatory response， anti-inflammatory， anti-oxidation， and silent information regulator 1 （SIRT1） signaling pathway that regulates synovial cells， anti-inflammatory adenylate-activated protein kinase （AMPK） signaling pathway that regulates energy metabolism， and hypoxia-inducible factor-1α （HIF-1α）/vascular endothelial growth factor （VEGF） signaling pathway related to angiogenesis in RA. At the same time， many studies have confirmed that traditional Chinese medicine prevents and treats RA by regulating the above signaling pathways and exerting their related effects， indicating the advantages of traditional Chinese medicine such as multiple regulatory pathways， long-term effects， and less adverse reactions. In this paper， by consulting many research reports， the role of the above-mentioned signaling pathways in RA was clarified， and the latest research results of traditional Chinese medicine intervention in the above-mentioned signaling pathways in the prevention and treatment of RA in recent years were summarized in detail. This paper aims to promote the in-depth study of the pathogenesis of RA and its treatment with traditional Chinese medicine， provide a scientific basis for the rational application of traditional Chinese medicine， and offer useful enlightenment for the development of new drugs and clinical practice for the treatment of RA in the future.

Objective To construct and validate a risk prediction model for enteral nutrition feeding intolerance (FI) in patients with severe cerebral hemorrhage based on machine learning algorithms. Methods The clinical data of 485 patients with cerebral hemorrhage admitted to the neurological intensive care unit of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from January 2020 to December 2022 were retrospectively analyzed. The patients were randomly divided into training set (n=339) and validation set (n=146) in a 7 to 3 ratio. Five machine learning algorithms were used to construct FI risk prediction models. The receiver operating characteristic (ROC) curve was plotted, and the model with the best predictive performance was selected based on the area under the curve (AUC). A nomogram model was constructed based on the optimal model. The calibration curve and decision curve analysis (DCA) were used to evaluate the calibration and clinical net benefit of the nomogram model. Results The incidence of enteral nutrition FI in patients with severe cerebral hemorrhage was 38.4%(186/485). Among the five machine learning algorithm models, the Logistic regression model had the best predictive performance(AUC=0.88). The analysis results of the Logistic regression model showed that the use of diuretics, mechanical ventilation, Glasgow Coma Scale score ≤5, vasoactive drugs, and albumin level<35 g/L were risk factors for enteral nutrition FI in patients with severe cerebral hemorrhage. A nomogram model was further constructed based on these five risk factors. The calibration curve analysis showed that the calibration curve fitted well with the ideal curve, indicating a high calibration degree of the nomogram model. The DCA results showed that when the threshold probability was 5% to 73%, the application of the nomogram model for screening could clinically benefit patients. Conclusion The construction of a nomogram model for predicting the risk of enteral nutrition FI in patients with severe cerebral hemorrhage based on machine learning methods can help to early screen high-risk patients for enteral nutrition FI and timely formulate preventive measures, thereby reducing the incidence of enteral nutrition FI in patients with severe cerebral hemorrhage.

Objective To retrieve relevant literature on risk prediction model for methicillin-resistant Staphylococcus aureus (MRSA) infection among hospitalized patients from databases and evaluate the predictive model. Methods The literature on risk prediction models for MRSA infection among hospitalized patients was retrieved from PubMed, Embase, Scopus, Cochrane library, China National Knowledge Infrastructure (CNKI), WanFang data, and VIP database, with a time range from the inception of the database to January 1, 2024. Two researchers independently screened the literature, extracted data. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was applied to evaluate the risk of bias and applicability of the prediction model in the literature, and descriptive analysis was conducted. Results A total of 12 articles (15 prediction models) were included in this study, with significant differences in the total sample size, the number of MRSA infection events, sample size of modeling, and sample size of validation among the studies. Common predictors in the prediction models were admission to the intensive care unit, antibiotic use, history of residence in nursing facilities, age, chronic kidney disease, and previous hospitalization history. Nine articles conducted internal validation, and three articles conducted both internal and external validation. Nine articles reported the area under the receiver operating characteristic curve, and only three articles reported the calibration of the model based on the Hosmer-Lemeshow test. PROBAST analysis showed that 10 articles were assessed as high risk bias, mainly stemming from statistical analysis. Conclusion Most of the MRSA infection risk prediction models in the current literature have good predictive efficacy for MRSA infection, but they all have higher overall risk of bias, and only a few models have undergone external validation. Researchers should follow PROBAST standards to construct and externally validate models in the future so as to develop models suitable for clinical practice.

OBJECTIVE To compare the change law of multi-components in the extraction process between Liuwei dihuang powder decoction pieces and traditional decoction pieces （hereinafter referred to as powder decoction pieces and traditional decoction pieces）， and to provide scientific basis for the modern technology research of Liuwei dihuang formula. METHODS Taking powder decoction pieces and traditional decoction pieces as samples， the samples were taken when soaking for 60 min， at 0， 5， 10， 15， 20， 25， 30， 40， 50， 60 min of the first decocting and at 5， 10， 20， 30， 40 min of the second decocting， respectively. HPLC method was used to establish the fingerprints of 2 kinds of decoction pieces with different decocting time. The similarity evaluation and peak identification were performed. The contents of 8 components including 5-hydroxyfurfural， catechin， monoglycoside， loganin， swertin glycoside， dihydroquercetin， paeonol and benzoyl paeoniflorin were all determined. RESULTS With different decocting time， the similarties between 2 kinds of decoction pieces and their respective control fingerprints R were all greater than 0.98. In the fingerprints of traditional decoction pieces， five chromatographic peaks were identified， namely， 5- hydroxyfurfural， monetin， swertiaoside， dihydroquercetin and paeonol； in the fingerprints of powder decoction pieces， six chromatographic peaks were identified， namely， 5-hydroxyfurfural， monoglycoside， swertiamarin， dihydroquercetin， paeonol and benzoyl paeoniflorin. The results of content determination showed that in the first 5 minutes of the first decocting， the decocting rate of almost all the ingredients in the powder decoction pieces was faster than that of the traditional decoction pieces； after 40 min， the contents of other active ingredients were lower than those of traditional decoction pieces except for 5-hydroxyfurfural and paeonol. In the process of second decocting， except for paeonol and loganin， the contents of other ingredients in powder decoction pieces were higher than that in traditional decoction pieces； catechin was completely decocted from the traditional decoction pieces in the first decocting， while it could still be detected in the powder decoction pieces in the second decocting. There was little difference in the total decocted amount of the 8 ingredients in the two decoction pieces. CONCLUSIONS The chemical composition of powder decoction pieces of Liuwei dihuang formula has no obvious advantages compared with traditional decoction pieces， and can not save the decocting time and the amount of medicinal materials.