Diterpenoid ferruginol is a key intermediate in biosynthesis of active ingredients such as tanshinone and carnosic acid.However, the traditional process of obtaining ferruginol from plants is often cumbersome and inefficient. In recent years, the increasingly developing gene editing technology has been gradually applied to the heterologous production of natural products, but the production of ferruginol in microbe is still very low, which has become an obstacle to the efficient biosynthesis of downstream chemicals, such as tanshinone. In this study, miltiradiene was produced by integrating the shortened diterpene synthase fusion protein,and the key genes in the MVA pathway were overexpressed to improve the yield of miltiradiene. Under the shake flask fermentation condition, the yield of miltiradiene reached about(113. 12±17. 4)mg·L~(-1). Subsequently, this study integrated the ferruginol synthase Sm CYP76AH1 and Sm CPR1 to reconstruct the ferruginol pathway and thereby realized the heterologous synthesis of ferruginol in Saccharomyces cerevisiae. The study selected the best ferruginol synthase(Il CYP76AH46) from different plants and optimized the expression of pathway genes through redox partner engineering to increase the yield of ferruginol. By increasing the copy number of diterpene synthase, CYP450, and CPR, the yield of ferruginol reached(370. 39± 21. 65) mg·L~(-1) in the shake flask, which was increased by 21. 57-fold compared with that when the initial ferruginol strain JMLT05 was used. Finally, 1 083. 51 mg·L~(-1) ferruginol was obtained by fed-batch fermentation, which is the highest yield of ferruginol from biosynthesis so far. This study provides not only research ideas for other metabolic engineering but also a platform for the construction of cell factories for downstream products.
Saccharomyces cerevisiae/genetics* ; Diterpenes/metabolism* ; Metabolic Engineering ; Fermentation ; Abietanes

Continuous manufacturing, as an innovative pharmaceutical production model, offers advantages such as high production efficiency and ease of control compared to traditional batch production, aligning with the future trend of drug production moving toward greater efficiency and intelligence. However, the development of continuous manufacturing technology in wet granulation has been slow. On one hand, this is closely related to its high technical complexity, substantial equipment investment costs, and stringent process control requirements. On the other hand, the long-term use of the traditional batch production model has created strong path dependence, and the lack of mature standardized processes further increases the difficulty of technological transformation. To promote the deep integration of wet granulation technology with continuous manufacturing, this review systematically outlines the current application of wet granulation in continuous manufacturing. It focuses on the development of key technologies such as online detection, process modeling, and process scale-up, with the aim of providing a reference for process innovation and application in wet granulation.
Drug Compounding/instrumentation* ; Technology, Pharmaceutical/methods* ; Drugs, Chinese Herbal/chemistry* ; Models, Theoretical

OBJECTIVE: In Pakistan, traditional medicines are an important component of the medical system, with numerous varieties and great demands. However, due to the scattered resources and the lack of systematic collection and collation, adulteration of traditional Pakistani medicine (TPM) is common, which severely affects the safety of their medicinal use and the import and export trades. Therefore, it is urgent to systematically organize and unify the management of TPM and establish a set of standards and operable methods for the identification of TPM. METHODS: We collected and organized the information on 128 TPMs with regard to their medicinal parts, efficacy, usage, and genetic material, based on Pakistan Hamdard Pharmacopoeia of Eastern Medicine: Pharmaceutical Codex. The genetic information of TPM is summarized from national center for biotechnology information (NCBI) and global pharmacopoeia genome database (GPGD). Furthermore, we utilized bioinformatics technology to supplement the chloroplast genome (cp-genome) data of 12 TPMs. To build the web server, we used the Linux + Apache + MySQL + PHP (LAMP) system and constructed the webpage on a PHP: Hypertext Preprocessor (PHP) model view controller (MVC) framework. RESULTS: We constructed a new genomic database, the traditional Pakistani medicine genomic database (TPMGD). This database comprises five entries, namely homepage, medicinal species, species identification, basic local alignment search tool (BLAST), and download. Currently, TPMGD contains basic profiles of 128 TPMs and genetic information of 102 TPMs, including 140 cytochrome c oxidase subunit I (COI) sequences and 119 mitochondrial genome sequences from Bombyx mori, 1 396 internal transcribed spacer 2 (ITS2) sequences and 1 074 intergenic region (psbA-trnH) sequences specific to 92 and 83 plant species, respectively. Additionally, TPMGD includes 199 cp-genome sequences of 82 TPMs. CONCLUSION TPMGD is a multifunctional database that integrates species description, functional information inquiry, genetic information storage, molecular identification of TPM, etc. The database not only provides convenience for TPM information queries but also establishes the scientific basis for the medication safety, species identification, and resource protection of TPM.

ObjectiveTo systematically explore the underlying mechanisms of Huashi Baidu prescription （HBP） against myocardial injury through a multidimensional network analysis of "transcriptome-putative target-phenotype gene". MethodPutative targets of compounds in HBP were predicted using the Encyclopedia of Traditional Chinese Medicine （ETCM 2.0，http：//www.tcmip.cn/ETCM2/front/） and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP v2.0，http：//www.tcmip.cn/TCMIP/index.php/Home/Login/login.html）. Clinical predominant symptom phenotypes for HBP against coronavirus disease 2019 （COVID-19） were collected from CNKI and PubMed databases， while clinical side effects of doxorubicin were gathered from the CTD database. Phenotype-related genes were collected from the HPO database and SoFDA data platform （http：//www.tcmip.cn/Syndrome/front/#/）. An interaction network of "transcriptome-putative target-phenotype gene" was constructed. Key nodes were identified through topological feature calculations， and functional enrichment analysis was conducted to explain the underlying mechanism. Pharmacodynamic evaluation and mechanism verification were performed using a doxorubicin-induced myocardial injury mouse model. Sixty-five SPF-grade C57BL/6J male mice were randomly divided into a control group， a doxorubicin model group， and low-， medium-， and high-dose HBP groups （HBP-L/M/H）， with 13 mice per group. Histopathological severity was assessed using hematoxylin-eosin （HE） and Masson staining. Fibrosis markers were measured by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， and protein expression was detected by Western blot. ResultA total of 1 044 putative targets for HBP were obtained from ETCM 2.0 and TCMIP v2.0. From the CTD， HPO， and SoFDA databases， 1 223 potential effect-related targets were identified. Cardiac transcriptome sequencing （RNA-seq） yielded 214 genes related to doxorubicin-induced myocardial injury and 58 genes associated with the effects of HBP， using criteria of P-value<0.05 and FC > 1.5/< 0.667. Analysis of the multidimensional molecular network revealed that the mechanisms of HBP on myocardial injury were mainly related to immune-inflammation imbalance， cellular metabolism， myocardial cell function and fibrosis， angiogenesis， contraction and platelet activation， DNA synthesis， metabolism and repair， as well as cell death and oxidative stress. HBP improved cardiovascular abnormalities such as reduced ejection fraction， myocardial fibrosis， myocarditis， hypertriglyceridemia， and arterial/venous thrombosis. Animal experiments demonstrated that HBP reduced the abnormal high expression of Nod-like receptor heat protein domain Protein 3 （NLRP3）， Caspase-1， apoptosis-associated speck-like protein （ASC）， and Gasdermin D （GSDMD） in myocardial tissue induced by doxorubicin （P<0.05）， and improved the elevated mRNA levels of fibrosis markers transforming growth factor-β₁ （TGF-β₁）， Smad3， and α-smooth muscle actin （α-SMA） （P<0.05）. ConclusionHBP can improve myocardial injury through multiple components， targets， and effects， with the inhibition of the NLRP3 inflammasome activation pathway being a key pharmacodynamic mechanism. This study is expected to provide new insights for the development of targeted therapeutic drugs.

The incidence of intrahepatic cholangiocarcinoma (ICC) continues to rise, and there are no effective drugs to treat it. The immune microenvironment plays an important role in the development of ICC and is currently a research hotspot. Icaritin (ICA) is an innovative traditional Chinese medicine for the treatment of advanced hepatocellular carcinoma. It is considered to have potential immunoregulatory and anti-tumor effects, which is potentially consistent with the understanding of "Fuzheng" in the treatment of tumor in traditional Chinese medicine. However, whether ICA can be used to treat ICC has not been reported. Therefore, in this study, sgp19/kRas, an in situ ICC mouse model with intact immune system, was selected to evaluate the efficacy of ICA in the treatment of ICC in vivo for the first time, and the effects of ICA on the tumor immune microenvironment of ICC mice were analyzed by flow cytometry. This experiment was approved by the Experimental Animal Ethics Committee of Capital Medical University (approval number: AEEI-2023-138). In this study, sgp19/kRas ICC mouse model was treated with oral gavage of 100 mg·kg^-1 ICA. We found that ICA significantly inhibited tumor growth and tumor cell proliferation in the sgp19/kRas ICC mouse model after 3 weeks of treatment. Flow cytometry analysis indicated that ICA treatment markedly reduced the proportion of M2 macrophages and increased the number of CD3⁺CD4⁺ T cells. In vitro experiments demonstrated that ICA promoted macrophage polarization towards the M1 phenotype while inhibiting polarization towards the M2 phenotype. Furthermore, transcriptomic analysis suggested that ICA enhanced Toll-like receptor 9 (TLR9) expression, influencing macrophage nitric oxide metabolism synthesis pathways and receptor-related activities, thereby regulating macrophage polarization. In summary, this study demonstrates that ICA treatment significantly delays tumor progression in sgp19/kRas ICC mouse models. Mechanistically, ICA may achieve its anti-ICC effects by upregulating TLR9 receptor expression levels, promoting macrophage polarization towards the M1 phenotype, and altering the tumor immune microenvironment.

A domestically produced self-expanding transcatheter aortic valve controllable bending delivery system(VitaFlow? Ⅲcontrollable bending retrievable delivery system)was first used to perform transcatheter aortic valve replacement(TAVR)in a symptomatic severe aortic valve stenosis patient with severe heart failure and high risk of surgery in China on September 22,2023.The patient successfully completed TAVR under general anesthesia,with good valve position and function after the operation.Before discharge and at one month of follow-up,the patient's symptoms and degree of heart failure were significantly improved.The follow-up results of this case showed that the VitaFlow? Ⅲ controllable bending retrievable delivery system for TAVR is safe and feasible,and future prospective,multicenter clinical trials are expected to evaluate its efficacy.

Generative artificial intelligence (GAI) refers to AI technology capable of generating new content such as text, images, or audio from training data. GAI tools not only demonstrate rapid and efficient potential in literature screening, data extraction, and literature appraisal in systematic reviews, but can also be used for guideline evaluation and dissemination, enhancing the readability and promotion efficiency of guidelines. However, the accuracy of content generated by GAI tools, the rationality of cited evidence, the level of evidence, and the reliability of data still need verification. Additionally, data privacy protection and ethical issues are challenges that need to be addressed. This article aims to overview the current status of GAI tools in the formulation, evaluation, dissemination, and implementation of guidelines, explore the feasibility and new models of GAI tools in the field of guidelines, and improve the efficiency and quality of guideline formulation to better serve guideline developers and users.

AIM To evaluate the quality of Beidougen Formula Granules.METHODS Fifteen batches of standard decoctions and three batches of formula granules were prepared,after which paste rate and contents,transfer rates of magnoflorine,daurisoline,dauricine were determined.HPLC specific chromatograms were established,and cluster analysis was adopted in chemical pattern recognition.RESULTS For three batches of formula granules,the paste rates were 15.1%-16.6%,the contents of magnoflorine,daurisoline,dauricine were 18.93-19.39,9.42-9.60,6.79-6.85 mg/g with the transfer rates of 34.42%-35.25%,43.81%-44.65%,27.27%-27.51%from decoction pieces to formula granules,respectively,and there were seven characteristic peaks in the specific chromatograms with the similarities of more than 0.95,which demonstrated good consistence with those of standard decoctions and accorded with related limit requirements.Fifteen batches of standard decoctions were clustered into two types,and the medicinal materials produced from Jilin,Hebei,Shangdong could be used for the preparation of formula granules.CONCLUSION This reasonable and reliable method can provide references for the quality control and clinical application of Beidougen Formula Granules.

Objective Photoelectric volumetric tracing(PPG)exhibits high sensitivity and specificity in flap monitoring.Deep learning(DL)is capable of automatically and robustly extracting features from raw data.In this study,we propose combining PPG with 1D convolutional neural networks(1D-CNN)to preliminarily explore the method's ability to distinguish the degree of embolism and to localize the embolic site in skin flap arteries.Methods Data were collected under normal conditions and various embolic scenarios by creating vascular emboli in a dermatome artery model and a rabbit dermatome model.These datasets were then trained,validated,and tested using 1D-CNN.Results As the degree of arterial embolization increased,the PPG amplitude upstream of the embolization site progressively increased,while the downstream amplitude progressively decreased,and the gap between the upstream and downstream amplitudes at the embolization site progressively widened.1D-CNN was evaluated in the skin flap arterial model and rabbit skin flap model,achieving average accuracies of 98.36%and 95.90%,respectively.Conclusion The combined monitoring approach of DL and PPG can effectively identify the degree of embolism and locate the embolic site within the skin flap artery.

Objective To explore the characteristics of traditional Chinese medicine(TCM)syndromes in patients with cervical high-risk human papillomavirus(HR-HPV)infection,and to provide reference for clinical syndrome differentiation and treatment of cervical HR-HPV patients.Methods From September 2020 to October 2022,the TCM syndrome manifestations of cervical HR-HPV infection diagnosed by HPV detection in the Gynecology Department of The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine were investigated,and then the distribution of disease-location syndrome elements,disease-nature syndrome elements and syndrome types was analyzed.Results The patients with cervical HR-HPV infection were usually manifested with abnormal vaginal secretions,which accounted for 63.40%.The disease-location syndrome elements of cervical HR-HPV infection were uterus,spleen,liver,kidney,meridians,stomach,heart spirit and heart.Among them,uterus,spleen and liver were most commonly-seen,accounting for 67.00%,58.80%and 55.80%respectively.The disease-nature syndrome elements were dampness,heat,qi stagnation,blood stasis,qi deficiency,yang deficiency,yin deficiency,phlegm and cold.Among them,dampness,heat,qi stagnation and blood stasis were most commonly-seen,accounting for 66.40%,56.60%,36.00%and 31.80%,respectively.In various age groups of the infected patients,the uterus was the predominated disease-location syndrome element,and dampness and heat were the predominated disease-nature syndrome elements.The uterus-spleen was the predominated double disease-location syndrome element,and the uterus-spleen-liver was the predominated triple disease-location syndrome element.Damp-heat was the predominated double disease-nature syndrome element,and damp-heat-blood stasis was the predominated triple disease-nature syndrome element.According to the results of cluster analysis and with reference to the clinical practice,it was found that the main syndrome types of the patients with cervical HR-HPV infection were damp-heat stasis stagnation,liver depression and qi stagnation,heart-kidney incoordination,spleen-stomach yang deficiency.Conclusion In the view of the TCM syndrome,cervical HR-HPV infection is mainly affected with the uterus,and also involves the spleen,liver and kidney.The disease-nature syndrome elements are characterized by dampness and heat,showing the characteristics of deficiency interweaved with excess.The main TCM syndrome types are damp-heat stasis stagnation,liver depression and qi stagnation,heart-kidney incoordination,and spleen-stomach yang deficiency.