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Intelligent manufacturing technologies, including databases, mathematical modeling, and information systems have played a significant role in process control, production management, and supply chain management in traditional Chinese medicine(TCM) industry. However, their ability to process and utilize unstructured data, such as research and development reports, batch production records, quality inspection records, and supplier documents, is relatively weak. For text, images, language, and other unstructured data, generative artificial intelligence(AI) technology has shown strong potential for development in extracting information, extracting knowledge, semantic retrieval, and content generation. Generative AI is expected to provide a feasible set of tools for the utilization of unstructured data resources in the TCM industry. Based on years of research and industrial application experience in TCM intelligent manufacturing technology, this study reviewed the current situation of intelligent manufacturing in TCM and the utilization of unstructured data, analyzed the application value of generative AI in the TCM manufacturing process and supply chain, summarized four typical application scenarios, including intelligent pharmaceutical knowledge base/knowledge graph, intelligent on-the-job trai-ning, intelligent production quality control, and intelligent supply chain. Furthermore, this study also explained the data collection and processing, business process design, application potential, and value of each scenario based on industry demands. Finally, based on the integration of generative AI and TCM industrial models, the study proposed a preliminary concept of a smart industrial brain for TCM, aiming to provide a reference for the application of AI technology in the field of TCM manufacturing.
Sujet(s)
Intelligence artificielle , Médicaments issus de plantes chinoises , Médecine traditionnelle chinoise , Médicaments issus de plantes chinoises/composition chimique , Contrôle de qualité , HumainsRÉSUMÉ
OBJECTIVE: The recent surge in large language models (LLMs) across various fields has yet to be fully realized in traditional Chinese medicine (TCM). This study aims to bridge this gap by developing a large language model tailored to TCM knowledge, enhancing its performance and accuracy in clinical reasoning tasks such as diagnosis, treatment, and prescription recommendations. MATERIALS AND METHODS: This study harnessed a wide array of TCM data resources, including TCM ancient books, textbooks, and clinical data, to create 3 key datasets: the TCM Pre-trained Dataset, the Traditional Chinese Patent Medicine (TCPM) Question Answering Dataset, and the Spleen and Stomach Herbal Prescription Recommendation Dataset. These datasets underpinned the development of the Lingdan Pre-trained LLM and 2 specialized models: the Lingdan-TCPM-Chat Model, which uses a Chain-of-Thought process for symptom analysis and TCPM recommendation, and a Lingdan Prescription Recommendation model (Lingdan-PR) that proposes herbal prescriptions based on electronic medical records. RESULTS: The Lingdan-TCPM-Chat and the Lingdan-PR Model, fine-tuned on the Lingdan Pre-trained LLM, demonstrated state-of-the art performances for the tasks of TCM clinical knowledge answering and herbal prescription recommendation. Notably, Lingdan-PR outperformed all state-of-the-art baseline models, achieving an improvement of 18.39% in the Top@20 F1-score compared with the best baseline. CONCLUSION: This study marks a pivotal step in merging advanced LLMs with TCM, showcasing the potential of artificial intelligence to help improve clinical decision-making of medical diagnostics and treatment strategies. The success of the Lingdan Pre-trained LLM and its derivative models, Lingdan-TCPM-Chat and Lingdan-PR, not only revolutionizes TCM practices but also opens new avenues for the application of artificial intelligence in other specialized medical fields. Our project is available at https://github.com/TCMAI-BJTU/LingdanLLM.
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Here, we present a protocol to identify the pro-embolic sub-population of human adipose-derived multipotent stromal cells (ADSCs) and predict fatal embolism risks from ADSC infusion. We describe steps for the collection, processing, and classification of ADSC single-cell RNA-seq data. We then detail the development of a mathematical model for predicting ADSC embolic risk. This protocol allows for the development of prediction models to enhance the assessment of cell quality and advance the clinical applications of stem cells. For complete details on the use and execution of this protocol, please refer to Yan et al. (2022).1.
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Heart failure is the leading cause of death worldwide. Compound Danshen Dripping Pill (CDDP) or CDDP combined with simvastatin has been widely used to treat patients with myocardial infarction and other cardiovascular diseases in China. However, the effect of CDDP on hypercholesterolemia/atherosclerosis-induced heart failure is unknown. We constructed a new model of heart failure induced by hypercholesterolemia/atherosclerosis in apolipoprotein E (ApoE) and LDL receptor (LDLR) dual deficient (ApoE-/-LDLR-/-) mice and investigated the effect of CDDP or CDDP plus a low dose of simvastatin on the heart failure. CDDP or CDDP plus a low dose of simvastatin inhibited heart injury by multiple actions including anti-myocardial dysfunction and anti-fibrosis. Mechanistically, both Wnt and lysine-specific demethylase 4A (KDM4A) pathways were significantly activated in mice with heart injury. Conversely, CDDP or CDDP plus a low dose of simvastatin inhibited Wnt pathway by markedly up-regulating expression of Wnt inhibitors. While the anti-inflammation and anti-oxidative stress by CDDP were achieved by inhibiting KDM4A expression and activity. In addition, CDDP attenuated simvastatin-induced myolysis in skeletal muscle. Taken together, our study suggests that CDDP or CDDP plus a low dose of simvastatin can be an effective therapy to reduce hypercholesterolemia/atherosclerosis-induced heart failure.
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Owing to the advancement in pharmaceutical technology, traditional Chinese medicine industry has seen rapid development. Preferring conventional manufacturing mode, pharmaceutical enterprises of traditional Chinese medicine have no effective process detection tools and process control methods. As a result, the quality of the final products mainly depends on testing and the quality is inconsistent in the same batch. Process analytical technology(PAT) for traditional Chinese medicine manufacturing, as one of the key advanced manufacturing techniques, can break through the bottleneck in quality control of medicine manufacturing, thus improving the production efficiency and product quality and reducing the material and energy consumption. It is applicable to the process control and real-time release of advanced manufacturing modes such as intelligent manufacturing and continuous manufacturing. This paper summarized the general idea of PAT for traditional Chinese medicine manufacturing. Through the analysis of the characteristics and status quo of the technology, we summed up the methodology for the continuous application and improvement of PAT during the whole life-cycle of traditional Chinese medicine. The five key procedures(process understanding, process detection, process modeling, process control, and continuous improvement) were summarized, and the application was reviewed. Finally, we proposed suggestions for the technical and regulatory challenges in implementing PAT in traditional Chinese medicine industry. This paper aims to provide a reference for development and application of PAT in advanced manufacturing, intelligent manufacturing, and continuous manufacturing of traditional Chinese medicine industry.
Sujet(s)
Médicaments issus de plantes chinoises , Médecine traditionnelle chinoise , Technologie pharmaceutique , Industrie pharmaceutique , Contrôle de qualitéRÉSUMÉ
A long-standing problem in evolutionary biology is why some populations differentiate into many species while the majority do not. Angiosperms is an excellent group for investigating this problem because their diversity is unevenly distributed in space and phylogeny. Plant hormone participates in growth, development and defense. However, jasmonic acid (JA) was the only hormone response to bites. We first searched jasmonate ZIM-domain (JAZ), AUXIN/INDOLE ACETIC ACID (IAA / aux), PYR/PYL/RCAR (PYL), DELLA, and SUPPRESSOR OF MAX2 1-like (SMAX) in 272 plant species. We found the gene number change trends were consistent with origination rates and species numbers of angiosperms. So, 26 representative species were selected as an example for further analysis. The results showed JAZ had experienced two lineage-specific gene expansion events in angiosperms, which coincided with increases in mammalian body size and dental diversity. The proliferation of large herbivores as a results of mammalian prosperity after dinosaur extinction may be related to angiosperm evolution and bursting. The proliferation of large herbivores as the result of mammalian prosperity after the extinction of the dinosaurs was related to angiosperm evolution and bursting. Overall, our study uncovered a previously unknown co-evolution mechanism in terrestrial plants exposed to extreme environmental conditions.
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Magnoliopsida , Animaux , Magnoliopsida/génétique , Phylogenèse , Facteur de croissance végétal , Plantes , Régulation de l'expression des gènes végétaux , MammifèresRÉSUMÉ
The myeloblastosis (MYB) gene family, involved in regulating many important physiological and biochemical processes, is one of the largest transcript factor superfamilies in plants. Since the identification of genome sequencing of Panax notoginseng has been completed, there was little known about the whole genome of its specific MYB gene family and the response to abiotic stresses, in consideration of the excessive application of nitrogen fertilizers in P. notoginseng. In this study, 123 PnMYB genes (MYB genes of P. notoginseng) have been identified and divided into 3 subfamilies by the phylogenetic analysis. These PnMYB genes were unevenly located on 12 chromosomes. Meanwhile, the gene structure and protein conserved domain were established by MEME Suite. The analysis of collinear relationships reflected that there were 121 homologous genes between P. notoginseng and Arabidopsis and 30 between P. notoginseng and rice. Moreover, cis-acting elements of PnMYB gene promoters were predicted which indicated that PnMYBs are involved in biotic, abiotic stress, and hormone induction. The expressions of PnMYB transcription factors in its roots, flowers, and leaves were detected by qRT-PCR and they had tissue-specific expressions and related to the growth of different tissues. Under nitrogen stress, MYB transcription factors had great feedback. Ten R2R3-MYB subfamily genes were significantly induced and indicated the possible function of protecting P. notoginseng from excess nitrogen. With further knowledge on identification of PnMYB gene related to tissue selectivity and abiotic stresses, this study laid the foundation for the functional development of PnMYB gene family and improved the cultivation of P. notoginseng.
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Arabidopsis , Panax notoginseng , Gènes myb , Panax notoginseng/génétique , Panax notoginseng/métabolisme , Protéines végétales/génétique , Protéines végétales/métabolisme , Famille multigénique , Phylogenèse , Azote/métabolisme , Arabidopsis/génétique , Facteurs de transcription/génétique , Facteurs de transcription/métabolisme , Régulation de l'expression des gènes végétaux , Stress physiologique/génétiqueRÉSUMÉ
Stem cell therapy emerges as an effective approach for treating various currently untreatable diseases. However, fatal and unknown risks caused by their systemic use remain to be a major obstacle to clinical application. We developed a functional single-cell RNA sequencing (scRNA-seq) procedure and identified that transcriptomic heterogeneity of adipose-derived stromal cells (ADSCs) in cultures is responsible for a fatal embolic risk of these cells in the host. The pro-embolic subpopulation of ADSCs in cultures was sorted by gene set enrichment analysis (GSEA) and verified by a supervised machine learning analysis. A mathematical model was developed and validated for the prediction of embolic risk of cultured ADSCs in animal models and further confirmed by its application to public data. Importantly, modification of culture conditions prevented the embolic risk. This novel procedure can be applied to other aspects of risk assessment and would help further the development of stem cell clinical applications.
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Basic leucine zipper (bZIP) transcription factors play an irreplaceable position in the regulation of plant secondary metabolism, growth and development, and resistance to abiotic stress. Panax notoginseng is a traditional medicinal plant in China, but the systematic identification and the resistance of Panax notoginseng bZIP (PnbZIP) family under nitrogen stress have not been reported before, considering the excessive application of N fertilizers. In this study, we conducted a genome-wide identification of the PnbZIP family and analyzed its phylogeny, tissue selectivity, and abiotic resistence. 74 PnbZIPs were distributed on 12 chromosomes and 8 were not successfully located. Through phylogenetic analysis of Arabidopsis and Panax notoginseng, we divided them into 14 subgroups. In the same subgroup, bZIPs had similiar intron/exon structure and conserved motifs. In the analysis of chromosome structure, two PnbZIP genes were duplicated in tandem on chromosome 3. Intraspecific collinearity analysis showed that 28 PnbZIPs participated in segmental replication. Each PnbZIP promoter contained at least one stress response element or stress-related hormone response element. RNA-seq and qRT-PCR methods were used to analyze the expression patterns of the PnbZIP gene in different tissues (roots, flowers, and leaves) and under different nitrogen stresses. The results showed that the PnbZIP gene had the highest expression level in flowers and reflected tissue-specific expressions. Meanwhile, under the stress of ammonium nitrogen fertilizer and nitrate nitrogen fertilizer, PnbZIPs in roots were differently expressed. 10 PnbZIP stress-responsive genes were screened for significant expression, among which PnbZIP46 was significantly up-regulated, which could be a candidate gene for resistance to Nitrogen stress. This study laid the foundation for functional identification of PnbZIPs and improved the cultivation of Panax notoginseng.
Sujet(s)
Régulation de l'expression des gènes végétaux , Panax notoginseng , Algorithmes , Facteurs de transcription à motif basique et à glissière à leucines/génétique , Facteurs de transcription à motif basique et à glissière à leucines/métabolisme , Engrais , Analyse de profil d'expression de gènes , Azote/métabolisme , Azote/pharmacologie , Panax notoginseng/génétique , Panax notoginseng/métabolisme , Phylogenèse , Protéines végétales/génétique , Protéines végétales/métabolisme , Stress physiologique/génétiqueRÉSUMÉ
To realize the real-time monitoring of the production process of Yangxue Qingnao Granules and improve the inter-batch consistency of granule quality in the granulation process, this study established a near-infrared quantitative prediction model of moisture, particle size, bulk density, and angle of repose in the fluidized bed granulation process of Yangxue Qingnao Granules based on near-infrared spectroscopy(NIRS). The near-infrared spectra were collected from 355 samples in 12 batches in the granulation process by integrating the sphere detection module of the near-infrared spectrometer. In combination with the pretreatment methods such as the first derivative, multiplicative scatter correction(MSC), and standard normal variate(SNV), the model was established by partial least squares(PLS) regression. The root mean square error of prediction(RMSEP) of moisture was 0.347 and R_P~2 was 0.935. The RMSEP of the D_(50) particle size model was 38.4 and R_P~2 was 0.980. The RMSEPs of bulk density and angle of repose were 0.018 8 and 0.879, with R_P~2 of 0.085 9 and 0.958. The results showed that the prediction of the PLS quantitative model combined with NIRS was accurate, and this model can be applied to the monitoring of key quality attributes in the fluidized bed granulation of Chinese medicinal granules in the production scale.
Sujet(s)
Spectroscopie proche infrarouge , Méthode des moindres carrés , Taille de particule , Spectroscopie proche infrarouge/méthodesRÉSUMÉ
The main active ingredients of the traditional Chinese medicinal plant, Panax notoginseng, are the Panax notoginseng saponins (PNS). They can be synthesized via the mevalonate pathway; PnSS and PnSE1 are the key rate-limiting enzymes in this pathway. In this study, an interaction between PnMYB2 and the key enzymes was identified and characterized from the P. notoginseng cDNA library using the Y1H technique. Subsequently, X-α-gal color reaction confirmed the interaction between PnMYB2 and the upstream sequences of PnSS and PnSE1 promoters. Full-length cDNA sequence of PnMYB2 was isolated and characterized. PnMYB2 has an open reading frame of 864 bp, encoding 287 amino acids. 3D structural analysis of PnMYB2 indicated that its structure was similar to that of the template. Phylogenetic analysis revealed that PnMYB2 and PgMYB2 are highly homologous and belong to the R2R3 MYB transcription factor (TF). Subcellular localization analysis showed that PnMYB2 was localized in the nucleus. The recombinant protein PnMYB2 was successfully obtained through prokaryotic expression and was confirmed to be an inclusion body protein. Furthermore, electrophoretic mobility shift assay (EMSA) experiments demonstrated that PnMYB2 specifically binds to MYB core and AC-rich elements. This study provides a theoretical basis for transcriptional regulation of saponin biosynthesis in P. notoginseng.
Sujet(s)
Panax notoginseng , Plantes médicinales , Saponines , Panax notoginseng/génétique , Panax notoginseng/métabolisme , Phylogenèse , Plantes médicinales/métabolisme , Facteurs de transcription/génétique , Facteurs de transcription/métabolismeRÉSUMÉ
Panax notoginseng saponins (PNS) are one of the main active ingredients of Panax notoginseng, a representative plant of the genus Panax. However, the detailed regulation mechanism of PNS biosynthesis remains elusive. Therefore, a sequence of upstream promoters of PnSS and PnSE were cloned and analyzed firstly. GUS quantitative results showed that the upstream promoters could specifically and significantly respond to exogenous GA and ABA signals. To further identify the binding proteins that respond to peripheral hormones, PnCOX11 and PnDCD were screened and identified from the P. notoginseng cDNA library. The Y1H experiment verified the interaction between the above two binding proteins and the promoters. Several online software was used to analyze the domains, secondary structures, three-dimensional structures, and phylogenetic trees of the two binding proteins. Subcellular localization analysis exhibited that PnCOX11 was mainly located in the chloroplast, while PnDCD was located in the cytoplasm and nucleus. Prokaryotic expression demonstrated that the recombinant proteins had a high concentration under the induction of IPTG. This study can provide a fundamental date for the subsequent thorough investigation of the transcription regulatory mechanism of PNS biosynthesis.
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Panax notoginseng , Saponines , Protéines de transport/métabolisme , Panax notoginseng/composition chimique , Panax notoginseng/génétique , Phylogenèse , Saponines/pharmacologieRÉSUMÉ
Physical attributes of Chinese herbal extracts are determined by their chemical components, and the physical and chemical attributes jointly affect the preparation process performance and the final product quality. Therefore, in order to improve the quality control of Chinese herbal extracts, we should comprehensively study the batch-to-batch consistency of physical and chemical attributes as well as the correlations between them. This paper first explored the physical attributes affecting the preparation process performance of the compound Danshen extract and developed a method for characterizing the texture attributes. With such main chemical components as water, phenolic acids, saponins, and saccharides and texture, rheology, and other physical attributes taken into consideration, the batch-to-batch quality fluctuation of products from different production lines and time was analyzed by principal components analysis(PCA). Finally, the correlation and partial least squares(PLS) analysis was conducted, and the regression equation was established. The fitting result of the PLS model for dynamic viscosity was satisfying(R~2Y=0.857, Q~2=0.793), suggesting that the chemical components could be adjusted by the component transfer rate in the extraction process, the impurity removal rate in the alcohol precipitation process, and the water retention rate of the concentration process to meet the control of the extract dynamic viscosity. This study clarified the correlations between physical and chemical attributes of the compound Danshen extract and established a method for controlling its physical attributes based on process regulation, which would provide reference for improving the quality control of Chinese herbal extracts.
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Médicaments issus de plantes chinoises , Salvia miltiorrhiza , Médicaments issus de plantes chinoises/composition chimique , Contrôle de qualité , Salvia miltiorrhiza/composition chimique , EauRÉSUMÉ
Benefiting from the development of network pharmacology, Traditional Chinese Medicine (TCM) shows great potential in modern drug discovery. Recently, more and more TCM-related databases have been established for both academic and industry research, but they are still insufficient in data standardization, integrity, and precision. To better accelerate the TCM research and overcome these shortcomings, we construct a web-based TCM platform, LTM-TCM, which is currently the most comprehensive TCM database that includes the following advantages: (1) High-quality data integration from fourteen TCM authoritative databases, especially with additional manual collected 41,025 clinical treatment records and 213 ancient Chinese medical books. (2) Accurate correction of multi-source TCM interactions (between symptoms, prescriptions, herbs, ingredients and targets) through in-house Biomedical Natural Language Processing (BioNLP) approaches in more than 30 million articles. (3) Diverse cross-field pipelines (e.g., bioactive ingredients screening, targets prediction, and mechanism prediction, etc.) help integrating traditional medicine with modern science in common aspects at both the molecular and phenotypic levels. In summary, LTM-TCM contains 1928 symptoms, 48,126 prescriptions, 9122 plants, 34,967 ingredients, 13,109 targets and 1170,133 interactions among all TCM related components. LTM-TCM has both Chinese and English interfaces, and it is accessible at http://cloud.tasly.com/#/tcm/home.
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Médicaments issus de plantes chinoises , Médecine traditionnelle chinoise , Bases de données factuelles , Découverte de médicament , Médicaments issus de plantes chinoises/pharmacologie , Médicaments issus de plantes chinoises/usage thérapeutiqueRÉSUMÉ
The alterations in vascular homeostasis are deeply involved in the development of numerous diseases, such as coronary heart disease, stroke, and diabetic complications. Changes in blood flow and endothelial permeability caused by vascular dysfunction are the common mechanisms for these three types of diseases. The disorders of glucose and lipid metabolism can bring changes in the energy production patterns in endothelium and surrounding cells which may consequently cause energy metabolic disorders, oxidative stress, and inflammatory responses. Traditional Chinese medicine (TCM) follows the principle of the "treatment by the syndrome differentiation." TCM considers coronary heart disease, stroke, and diabetes complications all as the type of Qi-deficiency and blood stasis syndrome, which mainly occurs in the vascular system. Therefore, the common pathogenesis of these three types of diseases suggests that the treatment strategy by TCM should be in a close manner and referred to as "treating different diseases by the same treatment." Qishen Yiqi dripping pill is a modern Chinese herbal medicine that has been widely used for the treatment of patients with coronary heart disease characterized as Qi-deficiency and blood stasis in China. Recently, many clinical reports have demonstrated the potential therapeutic effects of Qishen Yiqi dripping pills on ischemic stroke and diabetic nephropathy. Based on these reports, we will summarize the clinical applications of Qishen Yiqi dripping pills on coronary heart disease, ischemic stroke, and diabetic nephropathy, including the involved mechanisms discussed in various research works.
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Angiopathies intracrâniennes , Maladie coronarienne , Complications du diabète , Diabète , Néphropathies diabétiques , Médicaments issus de plantes chinoises , Accident vasculaire cérébral ischémique , Accident vasculaire cérébral , Angiopathies intracrâniennes/induit chimiquement , Angiopathies intracrâniennes/traitement médicamenteux , Maladie coronarienne/induit chimiquement , Maladie coronarienne/traitement médicamenteux , Complications du diabète/induit chimiquement , Complications du diabète/traitement médicamenteux , Diabète/traitement médicamenteux , Médicaments issus de plantes chinoises/effets indésirables , Humains , Accident vasculaire cérébral/induit chimiquement , Accident vasculaire cérébral/traitement médicamenteuxRÉSUMÉ
Panax notoginseng is a traditional Chinese medicine for the treatment of blood diseases, in which saponins were the main active components. Dammarenediol synthase (DS) is a key enzyme in the saponin synthesis pathway of P. notoginseng. The promoter is an important region to regulate gene expression, and the study of the promoter sequence provides important evidence for revealing the mechanism of gene expression regulation. However, there was still little research on the promoter function of P. notoginseng. In this study, the 1382 bp promoter upstream of DS from P. notoginseng was cloned and sequenced. The promoter sequence was analyzed by online databases. The plant expression vector fused with the ß-glucuronidase gene was constructed and transferred into Agrobacterium tumefaciens. Then tobacco was injected, and its response to exogenous hormones (gibberellin and abscisic acid) was studied by transient expression to verify its unique action elements. The results showed that the tobacco leaves transferred with DS promoter had significantly increased GUS protease activity after spraying GA and ABA, indicating that both DS promoter can specifically and significantly respond to exogenous GA and ABA signal. These findings will help us to better understand the regulatory mechanisms of the upstream region of the DS gene and provide a basis for future research on the interaction of cis-acting elements of promoters with related transcription factors.
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Panax notoginseng , Saponines , Triterpènes , Panax notoginseng/génétique , Séquences d'acides nucléiques régulatricesRÉSUMÉ
CONTEXT: Previous studies indicate that compound Danshen Dripping Pill (CDDP) improves the adaptation to high-altitude exposure. However, its mechanism of action is not clear. OBJECTIVE: To explore the protective effect of CDDP on hypobaric hypoxia (HH) and its possible mechanism. MATERIALS AND METHODS: A meta-analysis of 1051 human volunteers was performed to evaluate the effectiveness of CDDP at high altitudes. Male Sprague-Dawley rats were randomized into 5 groups (n = 6): control at normal pressure, model, CDDP-170 mg/kg, CDDP-340 mg/kg and acetazolamide groups. HH was simulated at an altitude of 5500 m for 24 h. Animal blood was collected for arterial blood-gas analysis and cytokines detection and their organs were harvested for pathological examination. Expression levels of AQP1, NF-κB and Nrf2 were determined by immunohistochemical staining. RESULTS: The meta-analysis data indicated that the ratio between the combined RR of the total effective rate and the 95% CI was 0.23 (0.06, 0.91), the SMD and 95% CI of SO2 was 0.37 (0.12, 0.62). Pre-treatment of CDDP protected rats from HH-induced pulmonary edoema and heart injury, left-shifted oxygen-dissociation curve and decreased P50 (30.25 ± 3.72 vs. 37.23 ± 4.30). Mechanistically, CDDP alleviated HH-reinforced ROS by improving SOD and GPX1 while inhibiting pro-inflammatory cytokines and NF-κB expression. CDDP also decreased HH-evoked D-dimer, erythrocyte aggregation and blood hemorheology, promoting AQP1 and Nrf2 expression. DISCUSSION AND CONCLUSIONS: Pre-treatment with CDDP could prevent HH-induced tissue damage, oxidative stress and inflammatory response. Suppressed NF-κB and up-regulated Nrf2 might play significant roles in the mechanism of CDDP.
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Mal de l'altitude/traitement médicamenteux , Camphanes/pharmacologie , Médicaments issus de plantes chinoises/pharmacologie , Inflammation/traitement médicamenteux , Stress oxydatif/effets des médicaments et des substances chimiques , Acétazolamide/pharmacologie , Animaux , Gazométrie sanguine , Camphanes/administration et posologie , Cytokines/métabolisme , Relation dose-effet des médicaments , Médicaments issus de plantes chinoises/administration et posologie , Humains , Inflammation/étiologie , Mâle , Facteur-2 apparenté à NF-E2/métabolisme , Facteur de transcription NF-kappa B/métabolisme , Panax notoginseng , Essais contrôlés randomisés comme sujet , Rats , Rat Sprague-Dawley , Salvia miltiorrhizaRÉSUMÉ
bZIP gene family is one of the largest transcription factor families. It plays an important role in plant growth, metabolic, and environmental response. However, complete genome-wide investigation of bZIP gene family in Glycyrrhiza uralensis remains unexplained. In this study, 66 putative bZIP genes in the genome of G. uralensis were identified. And their evolutionary classification, physicochemical properties, conserved domain, functional differentiation, and the expression level under different stress conditions were further analyzed. All the members were clustered into 13 subfamilies (A-K, M, and S). A total of 10 conserved motifs were found in GubZIP proteins. Members from the same subfamily shared highly similar gene structures and conserved domains. Tandem duplication events acted as a major driving force for the evolution of bZIP gene family in G. uralensis. Cis-acting elements and protein-protein interaction networks showed that GubZIPs in one subfamily are involved in multiple functions, while some GubZIPs from different subfamilies may share the same functional category. The miRNA network targeting GubZIPs showed that the regulation at the transcriptional level may affect protein-protein interaction networks. We suspected that domain-mediated interactions may categorize a protein family into subfamilies in G. uralensis. Furthermore, the tissue-specific gene expression patterns of GubZIPs were analyzed using the public RNA-seq data. Moreover, gene expression level of 66 bZIP family members under abiotic stress treatments was quantified by using qRT-PCR. The results of this study may serve as potential candidates for functional characterization in the future.
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The mixing process is one of the key operation units for solid preparation of traditional Chinese medicine. The physical properties such as particle size, density and viscosity of the mixture are key factors that need to be controlled, which will directly affect the performance of the preparation molding process and product quality. Subsequent dripping process performance and appearance qua-lity of dripping pills will be affected by dynamic viscosity of materials in the mixing process. Based on this, with mixing process of compound Danshen dripping pills as the object, a feedforward control method for the dripping pill mixing process was established based on the concept of quality by design(QbD). Firstly, critical quality attribute(CQA)-dynamic viscosity, critical material attributes(CMAs)-the moisture content of compound Danshen extract, average molecular weight of polyethylene glycol 6000 and critical process parameter(CPP)-mixing temperature were identified through the analysis of properties for multiple batches of the raw materials and excipients as well as technological mechanism. Then the Box-Behnken experimental design was used to establish the regression model among CMA, CPP and CMA(Râ =0.972 0, RMSE =16.24) to obtain the design space. Finally, through the verification of three batches within the design space, the mixing process temperature was adjusted according to the properties of the raw materials and exci-pients to achieve accurate control of the dynamic viscosity attribute. The relative deviation between the actual dynamic viscosity value and the target value was less than 3.0 %. The feedforward control of the mixing process of compound Danshen dripping pills was rea-lized in this study, which can contribute to improving quality consistency of the mixing process intermediates, simultaneously provide a reference for the research on the process quality control of other Chinese medicine dripping pills.