Background Silicosis is a fatal form of pulmonary fibrosis caused by the inhalation of silica dust. Although the underlying pathogenesis remains unclear, and the macrophage-mediated immune response plays a central role in its development. Objective To investigate the expression, functional role, and upstream regulatory mechanism of C-C motif chemokine ligand 22 (CCL22) in silica-induced pulmonary fibrosis. Methods Through bioinformatics analysis, we identified CCL22 as a potential key factor in pulmonary fibrosis. We established in vitro models by stimulating human monocytic leukemia cells (THP-1) and peripheral blood mononuclear cell-derived macrophages (PBMC-m) with crystalline silica (CS). The regulation of CCL22 expression by CS was validated using quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA). Subsequently, a conditioned co-culture system comprising macrophages and lung epithelial cells (BEAS-2B) was developed to evaluate the effects of CCL22 on lung epithelial cell function. Furthermore, the molecular mechanisms underlying CS-induced CCL22 secretion by macrophages were investigated using bioinformatics analysis, Western blot, specific inhibitors, qRT-PCR, and ELISA. Results Bioinformatics analysis identified CCL22 as a key upregulated molecule in pulmonary fibrosis. In vitro experiments confirmed that CS treatment significantly enhanced CCL22 mRNA transcription and protein secretion in THP-1 and PBMC-m cells (P<0. 0001). In the co-culture system, supernatant from CS-stimulated macrophages with stable CCL22 knockdown significantly inhibited the scratch-healing ability and fibrotic process of BEAS-2B cells, and reversed the epithelial-mesenchymal transition (EMT) phenotype compared to the control group. Mechanism studies found that, compared to other transcription factors such as signal transducer and activator of transcription 3 (STAT3) and nuclear factor-κB (NF-κB), the inhibition of of specific protein 1 (SP1) most significantly attenuated the CS-induced upregulation of CCL22. Furthermore, pathway inhibition experiments demonstrated that inhibiting extracellular signal-regulated kinase (ERK) reduced both CCL22 expression and p-SP1. Conversely, SP1 intervention did not affect ERK activation. Conclusion CS promotes CCL22 secretion by macrophages through the Raf/ERK-Sp1 signaling pathway, thereby driving fibrotic changes in pulmonary epithelial cells.

ObjectiveTo explore the molecular mechanism through which modified Guizhi Fulingwan （MGZFLW） promotes apoptosis and inhibits prostate cancer through the miR-34a-5p/δ-like protein 1 （DLL1）/Notch signaling pathway based on the traditional Chinese medicine theory of Yang transforming Qi while Yin constituting form. MethodsThe optimal intervention conditions of MGZFLW-containing serum and docetaxel （DXT） were screened by the cell counting kit-8 （CCK-8） method. Human prostate cancer cells （PC-3） were allocated into blank， MGZFLW （10%）， and DXT （30 nmol·L^-1） groups. The effects of MGZFLW-containing serum on the migration and proliferation of PC-3 cells were evaluated by cell scratch and colony formation assays， and the apoptosis of PC-3 cells was detected by terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling （TUNEL） assay. The cells were transfected with miR-34a-5p mimics and miR-34a-5p inhibitor. The mRNA levels of miR-34a-5p， DLL1， Notch1 and its downstream effector factors Notch1 intracellular domain （NICD1）， Hes family basic helix-loop-helix transcription factor 1 （Hes1）， and hairy/enhancer-of-split related with YRPW motif 1 （Hey1） were determined by Real-time PCR. The protein levels of DLL1， Notch1， NICD1， Hes1， and Hey1 were determined by a WES fully automatic protein system. The effect of miR-34a-5p on the DLL1-mediated Notch pathway was evaluated based on the results. Further， after MGZFLW-containing serum intervention， the expression of DLL1 and Notch1 was detected by the immunofluorescence （IF） assay， and the mRNA and protein levels of miR-34a-5p/DLL1/Notch pathway-related molecules were quantified by Real-time PCR and the WES fully automatic protein system， respectively， to explore the regulatory effect of MGZFLW-containing serum on the miR-34a-5p/DLL1/Notch pathway. ResultsMGZFLW-containing serum inhibited the viability， migration， and proliferation and promote the apoptosis of PC-3 cells （P<0.01）. The overexpression of miR-34a-5p down-regulated the mRNA and protein levels of key molecules in the DLL1/Notch signaling pathway and promoted cell apoptosis （P<0.01）， while inhibition of miR-34a-5p had the opposite effects. MGZFLW-containing serum reversed the activation of the DLL1/Notch pathway and the inhibition of apoptosis caused by miR-34a-5p inhibition， up-regulated the expression of miR-34a-5p， and down-regulated the expression of related molecules in this pathway （P<0.01）. ConclusionMGZFLW can up-regulate the expression of miR-34a-5p to inhibit the DLL1/Notch signaling pathway and promote the apoptosis of prostate cancer cells， thereby inhibiting prostate cancer. This study provides experimental evidence for clarifying the molecular mechanism of the anti-prostate cancer effect of this formula.

Objective To construct a nomogram model for prediction of constipation risk in adult patients with cardiovascular disease (CVD). Methods A total of 780 adult patients with CVD admitted to Zhongshan Hospital, Fudan University from June 15, 2025 to August 15, 2025 were prospectively enrolled and randomly divided into a training set and a validation set at a 7∶3 ratio. Risk factors for constipation were identified using the least absolute shrinkage and selection operator (LASSO) and Firth logistic regressions, and a nomogram model was subsequently constructed in the training set. Receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to evaluate the discrimination ability of the model. Calibration curve and decision curve analysis (DCA) were used to assess calibration and clinical applicability. The value of model was evaluated in the validation set. Results Among 780 adult patients with CVD, 391 patients (50.1%) developed constipation. Eleven variables were selected by LASSO regression and Firth logistic regression, and a nomogram model was constructed. The ROC curve showed that the AUCs of the model to predict constipation in adult patients with CVD in training and validation sets were 0.881 and 0.883, respectively. Calibration curves and DCA demonstrated good calibration and predictive performance of the model in training and validation sets. Conclusions The nomogram model based on LASSO-Firth logistic regression demonstrates good predictive performance and may serve as a useful tool for identifying adult patients with CVD at high risk of constipation.

Objective: To explore the association between daytime light exposure intensity and duration and objectively assessed sleep parameters among primary school students, so as to provide a scientific basis for understanding the impact of light exposure on children s sleep quality. Methods: From October 2023 to May 2024, a total of 741 primary school students in grades 2 to 3 were recruited from two primary schools in Chuzhou City, Anhui Province. Participants were required to wear an illuminance meter and an actigraph concurrently for 5 consecutive days to simultaneously collect 24 hour light exposure, sleep parameters, and physical activity data. Objective sleep parameters included total sleep time, sleep efficiency, sleep onset latency, wake after sleep onset, and sleep fragmentation index. Generalized linear model was applied to analyze the associations of average daytime (overall, morning, afternoon) light exposure intensity and exposure duration at different illuminance thresholds with various sleep parameters among primary school students. Results: The mean values of total sleep duration, sleep efficiency, sleep latency, wake time after sleep onset and sleep fragmentation index were (465.70±40.27)min, (83.22±5.16)%, (17.40±8.31)min, (75.97±26.81)min and (26.23±6.20), respectively. Generalized linear model showed that the average daytime light exposure intensity and duration of exposure ≥1 000 lx were positively correlated only with total sleep duration ( β =0.94, 8.51, both P <0.05). Morning light exposure intensity was associated with higher sleep efficiency ( β =0.11), longer total sleep duration ( β =0.80), shorter sleep latency ( β = -0.20 ), shorter wake time after sleep onset ( β =-0.57) and lower sleep fragmentation index ( β =-0.11) (all P <0.05). The duration of morning light exposure at ≥1 000 lx also improved childrens sleep efficiency, total sleep duration, sleep onset latency, wake time after sleep onset and sleep fragmentation index ( β =1.74, 13.91, -4.43, -11.04, -2.01, all P <0.05). Conclusions There is a significant association between morning light exposure intensity, exposure duration ≥1 000 lx, and multiple objective sleep parameters among primary school students. Increasing morning outdoor activities or high illuminance indoor light exposure could serve as feasible intervention strategies to improve the sleep of primary school students.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To establish a modified one-stage clotting assay (mOSA) based on the STA-R Evolution coagulation analyzer for quantifying emicizumab (EMI) concentration and to preliminarily evaluate its analytical performance; meanwhile to explore the clinical utility of the standard one-stage clotting assay (sOSA) in indirectly predicting EMI levels through surrogate factor Ⅷ (FⅧ) activity.Methods:A total of 30 pediatric patients with hemophilia A (HA) treated with EMI in the Hemophilia Treatment Center of Shenzhen Children′s Hospital from January 2023 to March 2025 were enrolled, and 48 post-treatment plasma samples were collected. EMI standards (2.5~100 μg/ml) were prepared using FⅧ-deficient plasma to establish the mOSA detection system. The linearity, accuracy, and precision of the method were evaluated. Surrogate FⅧ activity was measured by sOSA to estimate EMI concentrations, and its correlation with mOSA-derived EMI concentrations was analyzed using Spearman correlation analysis. The equivalent FⅧ activity in patient plasma samples was measured using a human chromogenic substrate assay-based FⅧ activity detection reagent, and Spearman correlation analysis was employed to evaluate its correlations with both the EMI concentrations measured by the mOSA method and estimated by the sOSA method respectively.Results:The established mOSA method for EMI detection showed excellent linearity in the range of 2.5?100 μg/ml ( Y=1.047 X?1.033, R 2=0.995, P<0.001). Average spike recovery rates at 25, 50, and 75 μg/ml were 101.55%(25.39/25.00), 105.31%(52.66/50.00), and 98.20%(73.65/75.00), respectively. Coefficients of variations of within-and inter-batch were 3.47%?4.80% and 6.30%?8.96%, respectively. A prediction model for EMI concentration was established as follows: estimated EMI concentration (μg/ml)=0.095×[alternative FⅧ activity (%) measured by sOSA]+2.652 ( R2=0.999, P<0.001). Validation demonstrated a strong correlation between the EMI concentration measured by the mOSA method and the EMI concentration estimated by the sOSA method ( r=0.989, P<0.001), with good consistency ( Y=1.014 X+0.684, R2=0.972, P<0.001). Both the EMI concentration measured by the mOSA method and the EMI concentration estimated by the sOSA method showed extremely strong correlations with the equivalent FⅧ activity ( r=0.986 and 0.987, respectively; P<0.001 for both). Conclusions:The mOSA system established on the STA-R Evolution analyzer demonstrates robust linearity, accuracy, and reproducibility, fulfilling clinical requirements for therapeutic drug monitoring of EMI. The sOSA method provides reliable indirect estimation of EMI concentrations through surrogate FⅧ activity, offering critical support for emergency decision-making.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.