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 investigate the regulatory role of miR-6824-3p in macrophage function and its molecular mechanism in inhibiting hepatitis B virus (HBV) replication, thereby providing experimental evidence to elucidate the immune regulatory mechanisms underlying persistent HBV infection. Methods: miR-6824-3p mimic and inhibitor were transfected into human THP-1-induced macrophages. Real-time quantitative PCR (qRT-PCR), enzyme-linked immunosorbent assay (ELISA), neutral red uptake, reactive oxygen species (ROS) production, and fluorescent latex particle phagocytosis assays were employed to evaluate the effects of miR-6824-3p on macrophage phenotype and function. Through a combination of bioinformatics analysis, dual luciferase reporter assays, western blot, and siRNA interference techniques, we identified the target gene of miR-6824-3p and examined their effects on downstream signaling pathways. qRT-PCR and western blot analyses were performed to assess the impact of miR-6824-3p-regulated macrophages on HBV DNA, pgRNA, cccDNA, and HBV-associated antigen levels in HepAD38 cells. Key effector molecules were identified through neutralization assays. Results: miR-6824-3p mimic significantly promoted the expression and secretion of proinflammatory factors, such as TNF-α and IL-1β, in macrophages (P<0.001), while concurrently reducing ROS production and phagocytosis (P<0.05). Furthermore, miR-6824-3p downregulated NRAS expression in macrophages, which was accompanied by a reduction in MAPK signalling path-way activity (p-MEK, p-ERK). Compared to the control group, the medium of macrophages with overexpressed miR-6824-3p inhibited the expression of HBV DNA, pgRNA, cccDNA, and HBV-associated antigens HBsAg, HBeAg, and HBcAg in HepAD38 cells (P<0.01). Similar results were also observed in the co-culture system of macrophages with HepAD38 cells. The addition of TNF-α neutralizing antibodies markedly attenuated the aforementioned antiviral effects (P<0.001). Conclusion: miR-6824-3p targets NRAS to affect the downstream MAPK signaling pathway, regulating the immune function of macrophages. The TNF-α induced by miR-6824-3p is one of the key molecules that suppress HBV replication. This study provides evidence for further elucidating the molecular mechanisms by which miRNAs influence HBV replication via modulating the host immune microenvironment.

ObjectiveTo investigate the epidemiological characteristics of respiratory adenovirus (AdV) infection among hospitalized patients under 18 years of age with pneumonia in Yancheng City of Jiangsu Province from 2023 to 2024, and to provide a basis for the prevention and control of adenovirus infection. MethodsNasopharyngeal swab samples were collected from hospitalized patients under 18 years of age diagnosed with pneumonia at two national influenza sentinel hospitals in Yancheng City from February 2023 to June 2024. A respiratory pathogen nucleic acid detection kit was used to test for 28 pathogens, including influenza A virus, influenza B virus, respiratory syncytial virus, human rhinovirus, adenovirus, Mycoplasma pneumoniae, Chlamydia pneumoniae, human metapneumovirus, human bocavirus, enterovirus, polyomavirus K1, polyomavirus WU, parainfluenza viruses 1‒4, coronavirus 229E, HKU1, OC43, and NL63, Haemophilus influenzae, Bordetella pertussis, Group A Streptococcus, Staphylococcus aureus, Streptococcus pneumoniae, Legionella pneumophila, Klebsiella pneumoniae, and the novel coronavirus, and to analyze patients’ mixed infections. Adenovirus-positive samples were subjected to polymerase chain reaction (PCR) amplification using Hexon and Fibre as target genes, and the products were analyzed by sequencing. Whole-genome sequencing analyses were performed on positive samples with Ct values less than 22. ResultsAmong 368 hospitalized pneumonia patients under 18 years of age in Yancheng City from February 2023 to July 2024, most were male (51.63%, 190/368), with preschool-aged children (42.66%, 157/368) and primary school-aged children (40.22%, 148/368) comprising the majority. A total of 44 cases tested positive for adenovirus, yielding a positivity rate of 11.96%. Single infections, dual infections, and multiple infections accounted for 61.36% (27/44), 36.36% (16/44), and 2.27% (1/44), respectively. From November 2023, the adenovirus positivity rate rose sharply, peaking at 51.61% in December. Following PCR amplification and sequencing, valid sequences were successfully obtained for 37 strains, comprising 36 AdV-3 strains and 1 AdV-C strain. Eight adenovirus-positive samples with Ct values below 22 were inoculated into HEp-2 cell lines for virus isolation, and whole-genome sequencing analyses were performed on the five successfully isolated strains. Phylogenetic analyses revealed that the AdV-3 strains collectively belonged to the same evolutionary clade. Whole-genome sequencing results indicated that four AdV-3 strains (HAdV-B3) showed no evidence of genetic recombination, whereas one AdV-C strain (HAdV-89) might have undergone genetic recombination. ConclusionThe adenovirus positivity rate among hospitalized pneumonia patients aged under 18 years of age in Yancheng from 2023 to 2024 was slightly higher than that reported in previous studies. Adenovirus infection exhibited a pattern of high incidence in winter, with the AdV-3 type being the predominant pathogen; one AdV-C strain (HAdV-89) might have undergone genetic recombination. It is recommended to strengthen surveillance of respiratory adenovirus type AdV-3 and its variants during the winter season, promote the use of multiplex pathogen detection techniques, and explore the clinical application of an AdV-3 vaccine.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

Objective:To investigate the effect and underlying mechanism of isoliquiritigenin (ISL) on chondrocyte ferroptosis in a rat model of knee osteoarthritis (KOA).Methods:Sixty male SD rats were randomly divided into a sham group, KOA group, celecoxib group, ISL low-dose group, and ISL high-dose group. Except for the sham group, KOA models were induced in the other groups using the modified Hulth method. The ISL low-dose and high-dose groups received intraperitoneal injections of 10 mg/kg and 40 mg/kg ISL, respectively; the celecoxib group was orally administered 24 mg/kg celecoxib; the sham and KOA groups received equivalent doses of saline via intraperitoneal injection. Interventions were administered once daily for 8 weeks. Behavioral changes in the open field test, histopathological observations of cartilage, inflammatory cytokine detection, ferroptosis-related indicators, and Sirt1/Nrf2/GPX4 pathway protein expression were measured to determine the optimal ISL dose. Another 60 male SD rats were randomly divided into sham, KOA, ISL high-dose, Sirt1 inhibitor (EX-527), and ISL high-dose + EX-527 groups. KOA models were established in all groups except the sham group. The ISL high-dose group received 40 mg/kg ISL, the EX-527 group received 10 mg/kg EX-527, and the combination group received both. The sham and KOA groups were given saline. Interventions lasted 8 weeks. Histopathological staining evaluated cartilage damage and scoring; ELISA measured tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 levels in synovial fluid; iron deposition, Fe 2+, malonaldehyde (MDA), reactive oxygen species (ROS), superoxide dismutase (SOD), and glutathione (GSH) levels were assessed; Western blot analyzed Sirt1/Nrf2/GPX4 pathway proteins; immunohistochemistry detected Collagen II, Aggrecan, MMP-3, and MMP-13 expression. Results:The joint cartilage tissue damage in the ISL low-dose and high-dose rat groups was alleviated compared to the KOA group. The OARSI score, levels of TNF-α, IL-1β and IL-6 in joint fluid, iron deposition in cartilage tissue, Fe 2+, MDA and ROS levels were 8.33±1.86 and 4.50±1.52, respectively. 67.24±7.25 pg/ml, 42.06±5.12 pg/ml; 37.97±4.9 pg/ml, 23.75±4.12 pg/ml; 31.67±4.16 pg/ml, 20.91±3.28 pg/ml; 2.00±0.20, 1.53±0.14; 2.84±0.19 μmol/mg, 1.87±0.16 μmol/mg; 9.11±1.08 nmol/ml, 5.49±1.05 nmol/ml; 759.15±59.80 μmol/ml and 610.85±44.23 μmol/ml were lower than those in KOA group ( P<0.05), and the serum SOD and GSH contents were 12.12±1.52 U/ml and 16.79±2.14 U/ml, respectively. Compared with KOA group, the protein expressions of Sirt1, Nrf2, GPX4 and SLC7A11 were 0.70±0.11 and 0.96±0.13, 0.69±0.10 and 0.95±0.14, 0.51±0.06 and 0.87±0.12, 0.56±0.06 and 0.83±0.10, which were higher than those in KOA group ( P<0.05). The expressions of Acetyl-H4K16, ACSL4, MMP-3 and MMP-13 were 1.68±0.17 and 1.30±0.10, 1.39±0.12 and 0.97±0.10, 1.70±0.14 and 1.10±0.10, 1.64±0.15 and 1.28±0.10, which were lower than those of KOA group ( P<0.05). And the changes of these indexes were higher in Sirt1 inhibitor group. Compared with the ISL high-dose group, the ferroptosis-related indexes were significantly increased in the ISL high-dose+Sirt1 inhibitor group. Conclusion:ISL alleviates articular cartilage injury in KOA rats, and its mechanism is related to activating the Sirt1/Nrf2/GPX4 pathway and inhibiting ferroptosis.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.