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.

Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

OBJECTIVE: The molecular biology of alleles of ABO blood group A_el and B_el subtype from two samples was analyzed to explore the effect of mutations on the structure of glycosyltransferase. METHODS: The ABO phenotypes were identified by serological techniques, then exons 6 and 7 of ABO gene were amplified and sequenced, combined with haplotype analysis to determine the genotypes. Finally, homology modeling of the mutated A/B glycosyltransferase were conducted by Modeller software and the effect of mutations on the spatial structure was analyzed by PyMol software. RESULTS: The serological phenotypes of the two samples were A_el and B_el, and their genotypes were ABO*AW.37/ABO*O.01.01 and ABO*BEL.03/ABO*O.01.01, respectively. The three-dimensional structure modeling of the protein showed that, compared to the wild-type glycosyltransferase, two hydrogen bonds between the side chain of p.Glu314 and surrounding amino acid disappeared in the p.Lys314Glu mutant GTA; the hydrogen bonds between the side chain of p.Trp168 and surrounding amino acid also disappeared, and the hydrogen bond between the main chain of p.Trp168 and p.Gly165 was shortened to 3.3 Å in the p.Arg168Trp mutant GTB. CONCLUSION Mutations in exon 7 of ABO gene c.940A>G and c.502C>T are keys to the formation of AW.37 and BEL.03 alleles, resulting in decreased expression of A and B antigens, respectively.
ABO Blood-Group System/classification* ; Humans ; Genotype ; Mutation ; Alleles ; Glycosyltransferases/genetics* ; Exons ; Haplotypes ; Phenotype ; Models, Molecular

Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Among its histological subtypes, non-small cell lung cancer (NSCLC) accounts for the majority of cases, representing the predominant pathological type. Notably, in the elderly population, NSCLC continues to be a major contributor to cancer-related deaths. With the global ageing population, immunosenescence has emerged as a key factor influencing the occurrence, progression, and the efficacy of immunotherapy of NSCLC. Immunosenescence refers to the age-related decline in immune system function, which manifests as alterations in both the quantity and functionality of immune cells. These include thymic involution, T cell exhaustion, epigenetic modifications, weakened immune responses, and a chronic low-grade inflammatory state. This review comprehensively analyzes the role of immunosenescence in elderly patients with advanced NSCLC and proposes potential therapeutic strategies to intervene in the immunosenescence process. By targeting immunosenescence, these strategies aim to inhibit the progression of NSCLC and improve the effectiveness of immunotherapy.
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Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Immunotherapy ; Lung Neoplasms/genetics* ; Immunosenescence ; Aged

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.

OBJECTIVES: In recent years, the role of remnant cholesterol (RC) in the development and progression of cardiovascular diseases has gained increasing attention. However, evidence on the association between RC and subclinical atherosclerosis is limited. This study aims to examine the relationship between RC and atherosclerotic plaques in single and multiple vascular territories. METHODS: This retrospective cross-sectional study used baseline data from participants enrolled between October 2022 and May 2024 in the National Key Research Program "Study on the Prevention and Control System of Risk Factors for Panvascular Diseases". Color Doppler ultrasonography was performed to detect plaques in 4 vascular territories: Bilateral carotid arteries, bilateral subclavian arteries, abdominal aorta, and iliac-femoral arteries. RC was calculated as total cholesterol minus the sum of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Participants were categorized into quartiles (Q1-Q4) according to RC levels. The proportions of participants with ≥2 plaques in a single vascular territory and with plaques in ≥2 vascular territories were compared across RC quartiles. Multivariate ordinal Logistic regression was used to assess the association between RC and the number of plaques in a single vascular territory, as well as the risk of multiple vascular territory involvement. Additionally, the effects of LDL-C/RC concordance on plaque distribution were analyzed. RESULTS: A total of 3 539 participants were included, of whom 2 169 (61.29%) were male, with a age of (51.94±9.22) years. From Q1 to Q4, the proportion of participants with ≥2 plaques in a single vascular territory (bilateral carotid, subclavian, abdominal aorta, and iliac-femoral arteries), as well as those with plaques in ≥2 vascular territories, increased progressively. Compared with Q1, both Q3 and Q4 were significantly associated with higher plaque numbers in a single vascular territory (both P<0.05). When treated as a continuous variable, higher RC levels were associated with an increased risk of greater plaque numbers within a single vascular territory (all P<0.05). RC levels were also significantly associated with multiple vascular territory involvement: Compared with Q1, Q4 had a 1.015-fold higher risk [odds ratio (OR)=2.015, 95% confidence interval (CI) 1.669 to 2.433], and each 1 mmol/L increase in RC corresponded to a 0.160-fold increased risk (OR=1.160, 95% CI 1.073 to 1.271). In LDL-C/RC coordination analysis, compared with the low LDL-C/low RC group, the low LDL-C/high RC group was significantly associated with multiple vascular territory involvement (OR=1.576, 95% CI 1.220 to 2.036). CONCLUSIONS Elevated RC levels are closely associated with atherosclerotic plaques in both single and multiple vascular territories, even among individuals with normal LDL-C, suggesting that RC should be considered in clinical risk assessment and management of atherosclerosis.
Humans ; Plaque, Atherosclerotic/diagnostic imaging* ; Male ; Female ; Cross-Sectional Studies ; Middle Aged ; Retrospective Studies ; Cholesterol/blood* ; Cholesterol, LDL/blood* ; Aged ; Cholesterol, HDL/blood* ; Risk Factors ; Atherosclerosis ; Ultrasonography, Doppler, Color ; Femoral Artery/diagnostic imaging*

Antibiotic resistance is spreading at a faster rate than new antibiotic agents applied for clinical remedies. It is an urgent need to discover potential compounds to combat multidrug-resistant (MDR) bacteria. Marine fungi offer a promising avenue for mining antibiotic-like molecules with chemical diversity. To discover structurally novel and antibiotic metabolites, we screened the in-house marine fungus genome library and found a fungus Stephanonectria keithii LZD-10-1 containing a non-ribosomal peptide synthetase (NRPS) cluster with 18 modules to synthesize a new subfamily of peptaibols with effective eradication against MDR pathogens. Targeting isolation of the cultured fungus afforded six new peptaibols, which exhibit the ability to kill MDR bacteria by targeting bacterial membrane phospholipids, especially phosphatidylglycerol (PG), leading to the dysfunction of bacterial membranes. Furthermore, their efficacies against methicillin-resistant Staphylococcus aureus (MRSA) in both Galleria mellonella and mouse wound infection models were observed. This study underscores the significance of employing genome-guided approaches to identify untapped marine fungi as potential sources for novel antibiotic candidates with unique scaffolds.