Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

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Intracranial atherosclerotic stenosis (ICAS) is a common cause of ischemic stroke. The evaluation of its structure and function is of great significance for formulating clinical intervention strategies. The indications for endovascular treatment of ICAS lesions in the past were mainly based on the degree of luminal stenosis showed by cerebral angiography, which had certain limitations. The translesional pressure ratio (PR), as an important indicator for functional assessment after arterial stenosis, has gradually received attention in the evaluation of ICAS lesions in recent years. This article reviews the evaluation methods and clinical significance of PR in ICAS lesions.

Aprocitentan is a dual endothelin receptor antagonist.Based on the effective evidence of Ⅲ phases of clinical trials,the drug was approved for marketing by the U.S.Food and Drug Administration on March 19,2024 for the treatment of refractory hypertension.At present,multiple clinical studies have confirmed that Aprocitentan has excellent antihypertensive effects and good tolerability.This article reviews the pharmacological effects,preclinical.

Objective The high incidence, disability, and mortality rates of stroke result in a heavy economic and social burden. The aim of this study was to investigate the relationship between triglyceride-glucose (TyG) index and new-onset stroke to assist in the identification of high-risk groups for stroke and to provide ideas for effective prevention. Methods The study was based on data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018 and included 7630 eligible middle-aged and elderly participants. The association between TyG index and new-onset stroke was assessed by logistic regression modelling and restricted triple spline analysis. Results A total of 431 participants had a new stroke. The TyG index was found to be a risk factor for stroke occurrence when it was >8.523, and there was a positive linear association moderated by gender. Conclusion Elevated TyG index is a risk factor for new stroke. This study provides new ideas for the identification of high-risk groups for stroke and for intervention measures and timing.

Background: Twenty-four-hour urinary free cortisol (UFC) measurement is the initial diagnostic test for Cushing’s syndrome (CS). We compared UFC determination by both direct and extraction immunoassays using Abbott Architect, Siemens Atellica Solution, and Beckman DxI800 with liquid chromatography-tandem mass spectrometry (LC-MS/MS). In addition, we evaluated the value of 24-hr UFC measured by six methods for diagnosing CS. Methods: Residual 24-hr urine samples of 94 CS and 246 non-CS patients were collected.A laboratory-developed LC-MS/MS method was used as reference. UFC was measured by direct assays (D) using Abbott, Siemens, and Beckman platforms and by extraction assays (E) using Siemens and Beckman platforms. Method was compared using Passing–Bablok regression and Bland–Altman plot analyses. Cut-off values for the six assays and corresponding sensitivities and specificities were calculated by ROC analysis. Results: Abbott-D, Beckman-E, Siemens-E, and Siemens-D showed strong correlations with LC-MS/MS (Spearman coefficient r = 0.965, 0.922, 0.922, and 0.897, respectively), while Beckman-D showed weaker correlation (r = 0.755). All immunoassays showed proportionally positive bias. The areas under the curve were 0.975 for Abbott-D, 0.972 for LCMS/MS, 0.966 for Siemens-E, 0.948 for Siemens-D, 0.955 for Beckman-E, and 0.877 for Beckman-D. The cut-off values varied significantly (154.8–1,321.5 nmol/24 hrs). Assay sensitivity and specificity ranged from 76.1% to 93.2% and from 93.0% to 97.1%, respectively. Conclusions Commercially available immunoassays for measuring UFC show different levels of analytical consistency compared to LC-MS/MS. Abbott-D, Siemens-E, and Beckman-E have high diagnostic accuracy for CS.

This study was aimed at characterizing the variations in hemagglutinin(HA)and neuraminidase(NA)genes of influenza virus subtype A(H1N1)pdm09 isolated during the 2022-2023 influenza monitoring year in Shandong Province,to provide a scientific basis for influenza prevention and control.A total of 14 A(H1N1)pdm09 subtype influenza strains were se-lected randomly by city by the influenza monitoring network laboratory.The vaccine strains recommended by the WHO served as references for whole gene sequencing analysis.A fluorescence method was used to conduct neuraminidase inhibition experi-ments to evaluate drug sensitivity.The A(H1N1)pdm09 influenza virus in Shandong Province,2022-2023 belonged to the 5a.2a evolutionary cluster in the 6B.1A branch.Nucleotide sequence analysis indicated that the HA and NA genes were closely re-lated to the Northern Hemisphere vaccine strain A/Victoria/2570/2019 in the years 2021-2023,and showed homology of 98.5％to 98.7％and 98.8％to 99.1％,respectively.Amino acid sequence analysis revealed 20 amino acid sequence mutations in the HA protein,but only one virus strain was found to have antigen drift,and three virus strains showed loss of HA protein glycosylation sites.No mutations were found at important sites affecting NA enzymes.The neuraminidase inhibition experiment indicated viral sensitivity to anti-influenza drugs.In conclusion,the monitored virus strains had high overall homology with vac-cine strains but showed some amino acid variation.In the future,continued monitoring of the genetic variation characteristics of influenza viruses will be necessary to understand the risk of influenza epidemics,and the effectiveness of influenza vaccines and therapeutic drugs.

This study was aimed at understanding the pollution distribution pattern of avian influenza virus in the environ-ment in poultry related places in Shandong Province,to provide a scientific basis for the prevention,control,prediction,and early warning regarding human infection with avian influenza.From 2020 to 2023,6 523 environmental samples were collected in 16 cities in Shandong Province from four types of poultry-related places.Fluorescence quantitative PCR was used for nucleic acid testing of influenza A virus.Positive samples were further identified for the H5,H7,and H9 subtypes of avian influenza virus.The epidemiological characteristics of avian influenza viruses in the poultry related environment of Shandong Province were described,and inter-rate comparisons were performed with the x2 test.During 2020-2023,6 523 environmental samples were collected,and 1 007 cases positive for avian influenza virus were detected,with a positivity rate of 15.44％.H5,H7,and H9 subtypesand mixed infections were detected.H9 was the main subtype(88.48％)in positive specimens.A significant difference in positivity rates was observed among regions(x2=431.956,P＜0.001),and the highest positivity rate was 28.93％.Significant differences in positivity rates were observed among monitoring sites(x2=304.604,P＜0.001),sample types(x2=109.678,P＜0.001),and quarters(x2=64.963,P＜0.001).The positive detection rate was highest at monitoring sites in urban and rural live poultry markets(20.12％),and the positive detection rate of samples collected by wiping meat cut-ting board surfaces was higher than that of other samples(22.56％).The peak positive detection rate occurred in spring(20.31％).Widespread contamination with avian influenza virus was observed in poultry environments in Shandong Prov-ince.The H9 subtype,the main pathogen,coexisted with H5 and H7 subtypes,thus posing a risk of human infection with avian influenza.Therefore,prevention and control of avian influenza must be strengthened in key seasons,areas,places,and links.