Objective To investigate the causal relationship between metabolic syndrome and breast cancer by using a bidirectional two-sample Mendelian randomization (MR) approach. Methods Genome-wide association study (GWAS) summary statistics for metabolic syndrome and breast cancer were acquired from the Integrative Epidemiology Unit GWAS database and the GWAS Catalog, with populations encompassing the United States and East Asia. A bidirectional causal design was employed: a forward analysis with metabolic syndrome as the exposure and breast cancer as the outcome, followed by a reverse analysis wherein their roles were interchanged. The inverse-variance weighting (IVW) method was primarily used for effect estimation, supplemented by MR-Egger regression, the weighted median method, the simple mode method, and the weighted mode method. Instrument variable strength was screened using the F-statistic (F>10). Robustness of the results was assessed through heterogeneity tests, horizontal pleiotropy tests, forest plots, and leave-one-out sensitivity analyses. Results The IVW analysis indicated no significant causal relationship between metabolic syndrome and breast cancer (OR=1.00, 95%CI: 0.97-1.03), P>0.05). Sensitivity analyses yielded consistent results, suggesting the good robustness of the study findings. Conclusion This study found no evidence to support a causal relationship, either positive or negative, between metabolic syndrome and breast cancer.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.

Purpose To evaluate the image quality improvement of deep learning iterative reconstruction(DLIR)on pediatric head CT images of head injury and to evaluate the performance of DLIR and conventional adaptive statistical iterative reconstruction-veo(ASIR-V)of noise and image texture of CT image in children's head trauma.Materials and Methods A total of 80 cases in Beijing Children's Hospital,Capital Medical University from December 7th to 11th 2020 of children's head low-dose CT were retrospectively selected.Scan voltage was 120 kV.Scan current was 150-220 mA.The raw data were reconstructed into 5 mm thick slice and 0.625 mm thin slice brain window and bone window images.50%ASIR-V and high weight DLIR images(DL-H)were reconstructed,respectively.A 4-point system was used to subjectively evaluate the display of sulcus,brain matter and bone.The number of lesions in each group was counted.The CT value and image noise values of gray matter and white matter were measured,and the contrast to noise ratio was calculated,then measured the blur metric index was measured in the same slice.The differences between the two image reconstruction methods were compared.Results Compared to 50%ASIR-V images,DL-H significantly improved the display ability of the sulcus and ventricles,as well as the display ability of the brain parenchyma(W=5.5-22.2,all P<0.05)in both slice thickness.There was no statistically significant difference in the display ability of the sulcus and ventricles between 5 mm 50%ASIR-V and 0.625 mm DL-H images(W=0.9,2.0,P=0.32,0.05,respectively).In terms of bone display ability,all images could achieve a maximum score of 4.0.A total of 35 lesions were found in 80 patients via 5 mm 50%ASIR-V and DL-H images,including 12 hemorrhagic lesions,1 intracranial gas,9 fractures,and 13 soft tissue swelling.In terms of objective evaluation,the noise level of DL-H images was significantly lower than that of 50%ASIR-V images(t=21.4-35.7,all P<0.05),and there was no statistically significant difference in noise and contrast noise ratio between 5 mm 50%ASIR-V and 0.625 mm DL-H images(t=1.7-2.2,all P≥0.05).The blur metric index showed that DL-H was superior to 50%ASIR-V images(t=6.1,10.0,both P<0.05),and there was no statistically significant difference in blur metric index between 0.625 mm DL-H and 5 mm 50%ASIR-V images(t=2.6,P=0.28).Conclusion DLIR can improve the CT image quality and image texture of children's head trauma,0.625 mm DL-H image quality is close to 5 mm 50%ASIR-V image,which can meet the diagnostic requirements,and possible to further reduce the radiation dose.

AIM:To investigate the role of specific long noncoding RNA SLC25a6(lncSLC25a6)in homocys-teine(Hcy)-induced cuproptosis in cardiomyocytes.METHODS:Rat cardiomyocytes were cultured in vitro and divided into control group and Hcy group.After 48 h of intervention,the expression levels of cuproptosis-related proteins,ferre-doxin 1(FDX1)and heat shock protein 70(HSP70),were detected by Western blot and immunofluorescence staining.The oxidative stress state of cardiomyocytes was assessed using fluorescence staining,and the intracellular Cu2+levels were measured using a copper ion assay kit.Furthermore,the impact of Hcy on the expression of cuproptosis-related proteins in cardiomyocytes was analyzed following overexpression of lncSLC25a6.RESULTS:Compared with the control group,80 μmol/L Hcy significantly accelerated cardiomyocyte damage,with a notable underexpression of lncSLC25a6(P<0.05).Western blot results indicated that,compared with the control group,the expression level of FDX1 in the Hcy intervention group was significantly reduced(P<0.05),while the expression level of HSP70 was significantly elevated(P<0.05),and the expression level of copper ions in cardiomyocytes of the Hcy group was increased(P<0.05).Immunofluorescence staining showed a significant reduction in FDX1 fluorescence intensity and a significant increase in HSP70 fluorescence in-tensity in the Hcy group.Further overexpression of lncSLC25a6 significantly mitigated Hcy-induced cuproptosis in cardio-myocytes,resulting in elevated expression of FDX1 and reduced expression of HSP70(P<0.05).Pearson correlation analysis demonstrated that the expression level of lncSLC25a6 was negatively correlated with FDX1 protein expression(r=-0.676,P=0.046)and positively correlated with HSP70 expression(r=0.680,P=0.044).CONCLUSION:lnc-SLC25a6 significantly mitigates Hcy-induced cuproptosis in cardiomyocytes,positioning it as a potential therapeutic target for managing Hcy-induced cardiac injury.

Objective To study the role of ubiquitin-conjugating enzyme 9(UBC9)in the pyroptosis of homocysteine-induced macrophages mediated by small ubiquitin-like modifier(SUMO)modification.Methods First,the effects of homocysteine at different concentrations(0 μmol/L,50 μ.mol/L,100 μmol/L,150 μmol/L and 200 μmol/L)on the viability and pyrodeath of mouse macrophages(RAW264.7)were detected by CCK-8 and Western blot.Western blot was used to detect the expression levels of UBC9,SUMO-1,and the inflammatory cytokine IL-1β in different groups of cells.qRT-PCR was used to detect the mRNA expression of UBC9 before and after RNA interference and the expression of UBC9,pyrogen-related protein,and SUMO-1 after RNA interference.Results After stimulation with 100 μmol/L homocysteine,the effect of macrophage activity was minimal,and NLRP3 and Caspase-1 were the proteins with the most obvious increase in expression(P＜0.05).Compared with the Control group,the Hcy group's expression of IL-1β and SUMO-1 was increased(P＜0.01).Compared with the Control group,the Hcy group's UBC9 protein and mRNA levels were increased(P＜0.05).The expression of NLRP3,Caspase-1,IL-1β,UBC9,and SUMO-1 was decreased in the si-UBC9+Hcy group compared with the si-NC+Hcy group(P＜0.01).Conclusions Homocysteine induces pyroptosis in macrophages,and its mechanism of action is related to the up-regulation of UBC9 to induce SUMO modification.

Background/Aims: Roxadustat, an oral medication for treating renal anemia, is a hypoxia-inducible factor prolyl hydroxylase inhibitor used for regulating iron metabolism and promoting erythropoiesis. To investigate the efficacy and safety of roxadustat in patients undergoing peritoneal dialysis (PD) with erythropoietin hyporesponsiveness. Methods: Single-center, retrospective study, 81 PD patients (with erythropoietin hyporesponsiveness) were divided into the roxadustat group (n = 61) and erythropoiesis-stimulating agents (ESAs) group (n = 20). Hemoglobin (Hb), total cholesterol, intact parathyroid hormone (iPTH), brain natriuretic peptide (BNP), related indicators of cardiac function and high-sensitivity C-reactive protein (hs-CRP) were collected. Additionally, adverse events were also recorded. The follow-up period was 16 weeks. Results: The two groups exhibited similar baseline demographic and clinical characteristics. At baseline, the roxadustat group had a mean Hb level of 89.8 ± 18.9 g/L, while the ESAs group had a mean Hb level of 95.2 ± 16.0 g/L. By week 16, the Hb levels had increased to 118 ± 19.8 g/L (p < 0.05) in the roxadustat group and 101 ± 19.3 g/L (p > 0.05) in the ESAs group. The efficacy of roxadustat in improving anemia was not influenced by baseline levels of hs-CRP and iPTH. Cholesterol was decreased in the roxadustat group without statin use. An increase in left ventricular ejection fraction and stabilization of BNP were observed in the roxadustat group. Conclusions For PD patients with erythropoietin hyporesponsiveness, roxadustat can significantly improve renal anemia. The efficacy of roxadustat in improving renal anemia was not affected by baseline levels of hs-CRP0 and iPTH.

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease caused by inflammatory cells. Various inflammatory cells involved in RA include fibroblast-like synoviocytes, macrophages, CD4⁺T-lymphocytes, B lymphocytes, osteoclasts and chondrocytes. The close interaction between various inflammatory cells leads to imbalance of immune response and disorder of the expression of mRNA in inflammatory cells. It helps to drive production of pro-inflammatory cytokines and stimulate specific antigen-specific T- and B-lymphocytes to produce autoantibodies which is an important pathogenic factor for RA. Competing endogenous RNA (ceRNA) can regulate the expression of mRNA by competitively binding to miRNA. The related ceRNA network is a new regulatory mechanism for RNA interaction. It has been found to be involved in the regulation of abnormal biological processes such as proliferation, apoptosis, invasion and release of inflammatory factors of RA inflammatory cells. Understanding the ceRNA network in 6 kinds of RA common inflammatory cells provides a new idea for further elucidating the pathogenesis of RA, and provides a theoretical basis for the discovery of new biomarkers and effective therapeutic targets.
Humans ; Arthritis, Rheumatoid/genetics* ; MicroRNAs/metabolism* ; Synoviocytes/pathology* ; Cytokines/metabolism* ; RNA, Messenger/metabolism* ; Fibroblasts/pathology* ; Cell Proliferation

The experience of famous and veteran physicians in traditional Chinese medicine （TCM） is a supplement to the cognition of industry groups and a high-quality learning resource. Digital inheritance of the experience of famous and veteran TCM physicians refers to the use of digital technology to record， organize， protect， spread， share and innovate the knowledge， skills and experiences of famous and veteran TCM physicians， which helps to overcome the inefficiency of traditional experience inheritance and realize the inheritance and development of TCM culture. Digital inheritance has certain advantages in accessibility， loss resistance， accuracy， innovation ability and effectiveness， which can assist the digital preservation， analysis and excavation of the experience of famous and veteran TCM physicians， and is an important supplement to the traditional way of learning from teachers. Digital inheritance is usually divided into the following steps： building a database of TCM knowledge， building a database of experienced medical records of famous and veteran TCM physicians， discovering laws by data mining， and assisting clinical decision-making with machine learning. The digital inheritance of famous and veteran TCM physicians is not only the use of experience information， but also the process of innovation and productization based on experience， which may become a new service model of TCM diagnosis and treatment.

Objective:To investigate the prognostic value and related factors of heart-type fatty acid binding protein (H-FABP) in patients with heart failure.Methods:A total of 877 consecutive patients who were admitted to heart failure care unit of Fuwai hospital and diagnosed as heart failure from July 2015 to July 2017 were enrolled in this study. Baseline serum H-FABP concentration was measured by fluorescence lateral flow immunoassay. According to serum H-FABP levels, patients were divided into three groups: low H-FABP group (H-FABP≤4.04 ng/ml, n=292), middle H-FABP group (H-FABP 4.04-7.02 ng/ml, n=292) and high H-FABP group (H-FABP≥7.02 ng/ml, n=293). The general clinical characteristics were collected and compared among the three groups. According to whether heart failure was caused by coronary artery disease or not, patients with heart failure were divided into ischemic heart failure and non-ischemic heart failure. Multivariate linear regression analysis was performed to explore the independent risk factors of H-FABP. The primary endpoint events were the composite of all-cause death or heart transplantation. Multivariate Cox regression analyses, receiver operating characteristic (ROC) curves, risk prediction tests with multivariate Cox regression model and Kaplan-Meier analyses were conducted to investigate the relationship between H-FABP and the prognosis of heart failure. Results:Multivariate linear regression analysis showed that age, coronary artery disease, alanine aminotransferase, uric acid and N-terminal pro-B type natriuretic peptide (NT-proBNP) were positively associated with H-FABP (β=0.012, 0.238, 0.001, 0.345 and 0.063 respectively,all P<0.05), while female, hemoglobin, albumin, sodium, and estimated glomerular filtration rate (eGFR) were negatively associated with H-FABP (β=-0.184, -0.006, -0.016, -0.034 and -0.006 respectively, all P<0.05). One hundred and nineteen patients (13.6%) lost to follow-up, and 246 patients (32.5%) suffered from all-cause death or heart transplantation during the median follow-up duration of 931 (412-1 185) days. Multivariate Cox regression analysis showed that baseline H-FABP (log 2H-FABP) level was the independent predictor of all-cause death or heart transplantation in patients with heart failure ( HR=1.39, P<0.001). ROC curves showed that baseline H-FABP was a predictor of all-cause death or heart transplantation in patients with heart failure within 3 months, 1 year and 2 years (areas under the curves were 0.69, 0.69 and 0.71 respectively), and the best cut-off values were 5.85 ng/ml, 6.54 ng/ml and 6.54 ng/ml respectively. Risk prediction test with multivariate Cox regression model showed that baseline H-FABP could provide additional prognostic value in predicting all-cause death or heart transplantation for patients with heart failure on top of basic model and baseline NT-proBNP ( P<0.001). Taking 6.54 ng/ml and trisected levels of H-FABP as cut-off values respectively, Kaplan-Meier analyses showed that the survival rates were significantly different among the two or three groups ( P<0.001). Subgroup analyses showed that baseline H-FABP (log 2H-FABP) level was an independent predictor of all-cause death or heart transplantation in patients with ischemic heart failure ( HR=1.74, P<0.001), as well as in patients with non-ischemic heart failure ( HR=1.28, P=0.027). Conclusions:Age, sex, coronary artery disease, hemoglobin, albumin, alanine aminotransferase, sodium, eGFR, uric acid and NT-proBNP are associated with H-FABP level. Baseline H-FABP level is an independent predictor of all-cause death or heart transplantation in patients with heart failure. On top of basic model and baseline NT-proBNP, baseline H-FABP could provide additional prognostic value in predicting adverse events for patients with heart failure.