ObjectiveTo characterize the changes in the overall chemical profile and key index components during nine-time repeating steaming and sun-drying processing of Rhei Radix et Rhizoma， and to reveal the change law of its material basis. MethodsHigh performance liquid chromatography（HPLC） was used to analyze the changes in the overall chemical profile of Rhei Radix et Rhizoma decoction pieces， and the contents of 15 main active components such as chrysophanol-8-O-β-D-glucoside， chrysophanol and gallic acid in the process of nine-time repeating steaming and sun-drying were determined. Combined with chemometrics， the contents and quantity ratio relationships of the glycosides， aglycones and tannins during the processing of Rhei Radix et Rhizoma were analyzed， and the partial least squares-discriminant analysis（PLS-DA） and cluster analysis of the main components in different steaming times were conducted， the statistically significant differential markers were selected with the variable importance in the projection（VIP） value>1. ResultsIn the nine-time repeating steaming and sun-drying process of Rhei Radix et Rhizoma， there were certain regularity in the number and peak area of characteristic peaks and the steaming and sun-drying times， the anthraquinone glycosides and aglycones could be roughly divided into three stages， including rapid change stage， fluctuation change stage and stable stage， and the total amount of tannins showed a decreasing trend. However， the ratios between the three components mentioned above tended to stabilize after five rounds of steaming and sun-drying. The results of PLS-DA and cluster heatmap showed that the content of each component in Rhei Radix et Rhizoma fluctuated greatly during the 1-4 steaming and sun-drying processes， while the content of each component was relatively close during the 5-9 steaming and sun-drying processes. After screening， it was found that chrysophanol， emodin， chrysophanol-8-O-β-D-glucoside， rhein， physcion and emodin-8-O-β-D-glucoside could be used as the index components for distinguishing the processed products of Rhei Radix et Rhizoma with different steaming and sun-drying times. ConclusionThe changes in the properties and efficacy of Rhei Radix et Rhizoma caused by the processing of nine-time repeating steaming and sun-drying are due to the changes in the composition and ratio of various glycosides and complex tannins in this herb， which is also the key to the formation of its characteristic of "purgation with supplement". This study can provide a basis for the research on the processing mechanism of Rhei Radix et Rhizoma and the establishment of processing specifications.

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; 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

Maidong products are categorized into "Hang Maidong" and "Chuan Maidong". Since the Ming and Qing Dynasties, "Hang Maidong" has been regarded as having superior quality, but currently, it remains in name only in the market. This article reviewed historical materia medica and local chronicles from the Ming and Qing Dynasties and analyzed the historical evolution of Maidong production areas. The history of Maidong production in Zhejiang can be traced back to the Song Dynasty, and cultivation had already developed by at least the Ming Dynasty. During the Ming and Qing Dynasties, it was consistently used as a tribute. Ming Dynasty chronicles record "Chuan Maidong", which had already been cultivated on a large scale by the Qing Dynasty. "Hang Maidong" and "Chuan Maidong" share the same origin, with the former identifiable by the "gourd waist" shape of its tuberous root. Based on this, it can be inferred that the "Maimendong" herb illustrated in the Origins of Materia Medica(Ben Cao Yuan Shi) and the Maidong stored in the Qing Palace Imperial Pharmacy were both "Hang Maidong". The protection and development of the authentic "Hang Maidong" medicinal herb are urgently needed.
China ; Drugs, Chinese Herbal/history* ; History, 17th Century ; History, Ancient ; Medicine, Chinese Traditional/history* ; History, Medieval ; History, 16th Century ; History, 18th Century ; History, 15th Century ; Plants, Medicinal/chemistry* ; History, 19th Century ; History, 20th Century ; Humans ; Materia Medica/history* ; History, 21st Century

To address the challenges faced by current brain midline segmentation techniques, such as insufficient accuracy and poor segmentation continuity, this paper proposes a deep learning network model based on a two-stage framework. On the first stage of the model, prior knowledge of the feature consistency of adjacent brain midline slices under normal and pathological conditions is utilized. Associated midline slices are selected through slice similarity analysis, and a novel feature weighting strategy is adopted to collaboratively fuse the overall change characteristics and spatial information of these associated slices, thereby enhancing the feature representation of the brain midline in the intracranial region. On the second stage, the optimal path search strategy for the brain midline is employed based on the network output probability map, which effectively addresses the problem of discontinuous midline segmentation. The method proposed in this paper achieved satisfactory results on the CQ500 dataset provided by the Center for Advanced Research in Imaging, Neurosciences and Genomics, New Delhi, India. The Dice similarity coefficient (DSC), Hausdorff distance (HD), average symmetric surface distance (ASSD), and normalized surface Dice (NSD) were 67.38 ± 10.49, 24.22 ± 24.84, 1.33 ± 1.83, and 0.82 ± 0.09, respectively. The experimental results demonstrate that the proposed method can fully utilize the prior knowledge of medical images to effectively achieve accurate segmentation of the brain midline, providing valuable assistance for subsequent identification of the brain midline by clinicians.
Humans ; Brain/diagnostic imaging* ; Deep Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Magnetic Resonance Imaging/methods* ; Neural Networks, Computer

OBJECTIVES: To evaluate the application value of genetic newborn screening (gNBS) in the Yunnan region. METHODS: A prospective study was conducted with a random selection of 3 001 newborns born in the Yunnan region from February to December 2021. Traditional newborn screening (tNBS) was used to test biochemical indicators, and targeted next-generation sequencing was employed to screen 159 genes related to 156 diseases. Positive-screened newborns underwent validation and confirmation tests, and confirmed cases received standardized treatment and long-term follow-up. RESULTS: Among the 3 001 newborns, 166 (5.53%) were initially positive for genetic screening, and 1 435 (47.82%) were genetic carriers. The top ten genes with the highest variation frequency were GJB2 (21.29%), DUOX2 (7.27%), HBA (6.14%), GALC (3.63%), SLC12A3 (3.33%), HBB (3.03%), G6PD (2.94%), SLC25A13 (2.90%), PAH (2.73%), and UNC13D (2.68%). Among the initially positive newborns from tNBS and gNBS, 33 (1.10%) and 47 (1.57%) cases were confirmed, respectively. A total of 48 (1.60%) cases were confirmed using gNBS+tNBS. The receiver operating characteristic curve analysis demonstrated that the areas under the curve for tNBS, gNBS, and gNBS+tNBS in diagnosing diseases were 0.866, 0.982, and 0.968, respectively (P<0.05). DeLong's test showed that the area under the curve for gNBS and gNBS+tNBS was higher than that for tNBS (P<0.05). CONCLUSIONS gNBS can expand the range of disease detection, and its combined use with tNBS can significantly shorten diagnosis time, enabling early intervention and treatment.
Humans ; Infant, Newborn ; Neonatal Screening ; Genetic Testing ; Female ; Male ; Follow-Up Studies ; Prospective Studies ; China

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

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Aim To investigate whether salvianolic acid B ( Sal B) has inhibitory effect on hepatoma HuH- 7 cells and explore whether it works via Hippo/YAP signaling pathway. Methods HuH-7 cells were induced by TGF-β1 (9 pmol · L

Aim To explore the efficacy of levosimendan on hypoxia pulmonary hypertension through animal experiments, and to further explore the potential mechanism of action using network pharmacological methods and molecular docking technique. Methods The rat model of hypoxia pulmonary hypertension was constructed to detect right heart systolic pressure and right heart remodeling index. HE , Masson, and VG staining were core targets were screened out. GO and KEGG pathway enrichment analysis were performed using the DAVID database. Molecular docking of the core targets was performed with the AutoDock software. Results The results of animal experiments showed that levosimendan had obvious therapeutic effect on hypoxia pulmonary hypertension. The network pharmacology results showed that SRC, HSP90AA1, MAPK1, PIK3R1, AKT1, HRAS, MAPK14, LCK, EGFR and ESR1 used to analyze the changes of rat lung histopathology. Search the Swiss Target Prediction, DrugBank Online, BatMan, Targetnet, SEA, and PharmMapper databases were used to screen for drug targets. Disease targets were retrieved from the GeneCards, OMIM databases. The "drug-target-disease" network was constructed after identification of the two intersection targets. The protein interaction network was constructed and the were the key targets to play a therapeutic role. Molecular docking showed good docking of levosimendan with all the top five core targets with degree values. Conclusions Levosimendan may exert a therapeutic effect on hypoxia-induced pulmonary hypertension through multiple targets.