Guided by the concept of quality by design(QbD), this study optimizes the calcination and quenching process of calcined Magnetitum and establishes the XRD characteristic spectra of calcined Magnetitum, providing a scientific basis for the formulation of quality standards. Based on the processing methods and quality requirements of Magnetitum in the Chinese Pharmacopoeia, the critical process parameters(CPPs) identified were calcination temperature, calcination time, particle size, laying thickness, and the number of vinegar quenching cycles. The critical quality attributes(CQAs) included Fe mass fraction, Fe~(2+) dissolution, and surface color. The weight coefficients were determined by combining Analytic Hierarchy Process(AHP) and the criteria importance though intercrieria correlation(CRITIC) method, and the calcination process was optimized using orthogonal experimentation. Surface color was selected as a CQA, and based on the principle of color value, the surface color of calcined Magnetitum was objectively quantified. The vinegar quenching process was then optimized to determine the best processing conditions. X-ray diffraction(XRD) was used to establish the characteristic spectra of calcined Magnetitum, and methods such as similarity evaluation, cluster analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to evaluate the quality of the spectra. The optimized calcined Magnetitum preparation process was found to be calcination at 750 ℃ for 1 h, with a laying thickness of 4 cm, a particle size of 0.4-0.8 cm, and one vinegar quenching cycle(Magnetitum-vinegar ratio 10∶3), which was stable and feasible. The XRD characteristic spectra analysis method, featuring 9 common peaks as fingerprint information, was established. The average correlation coefficient ranged from 0.839 5-0.988 1, and the average angle cosine ranged from 0.914 4 to 0.995 6, indicating good similarity. Cluster analysis results showed that Magnetitum and calcined Magnetitum could be grouped together, with similar compositions. OPLS-DA discriminant analysis identified three key characteristic peaks, with Fe_2O_3 being the distinguishing component between the two. The final optimized processing method is stable and feasible, and the XRD characteristic spectra of calcined Magnetitum was initially established, providing a reference for subsequent quality control and the formulation of quality standards for calcined Magnetitum.
X-Ray Diffraction/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Particle Size

The chemical constituents of sesquiterpenes from 95% ethanol extract of Aquilariae Lignum Resinatum were isolated and purified by various column chromatography techniques, including silica gel, Sephadex LH-20, octadecylsilyl(ODS), and semi-preparative high performance liquid chromatography(HPLC). Their planar structures and absolute configurations were elucidated by ultraviolet(UV) spectrometry, infrared(IR) spectroscopy, mass spectrometry(MS), nuclear magnetic resonance(NMR), electronic circular dichroism(ECD), and other techniques. Eight sesquiterpenoids were isolated and identified as(+)-(7R,10R)-selina-4,11-dien-12-dimethoxy-15-al(1),(+)-(7R,10R)-selina-4,11-diene-12,15-dial(2), agalleudesmanol B(3), aquisinenoid C(4), 12,15-dioxo-α-selinen(5), agarospiranic aldehyde B(6), neopetasane(7), and eremophila-7(11),9-dien-8-one(8). Compound 1 was a new compound, and it was the first time to find a dimethoxy substitution on the side chain of eudesmane-type sesquiterpene skeleton.
Sesquiterpenes/isolation & purification* ; Thymelaeaceae/chemistry* ; Molecular Structure ; Drugs, Chinese Herbal/isolation & purification* ; Magnetic Resonance Spectroscopy

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Metabolomics covers a wide range of applications in life sciences, biomedicine, and phytology. Data acquisition (to achieve high coverage and efficiency) and analysis (to pursue good classification) are two key segments involved in metabolomics workflows. Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups. However, insufficient feature extraction, inappropriate feature selection, overfitting, or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused. Using two ginseng varieties, namely Panax japonicus (PJ) and Panax japonicus var. major (PJvm), containing the similar ginsenosides, we integrated pseudo-targeted metabolomics and deep neural network (DNN) modeling to achieve accurate species differentiation. A pseudo-targeted metabolomics approach was optimized through data acquisition mode, ion pairs generation, comparison between multiple reaction monitoring (MRM) and scheduled MRM (sMRM), and chromatographic elution gradient. In total, 1980 ion pairs were monitored within 23 min, allowing for the most comprehensive ginseng metabolome analysis. The established DNN model demonstrated excellent classification performance (in terms of accuracy, precision, recall, F1 score, area under the curve, and receiver operating characteristic (ROC)) using the entire metabolome data and feature-selection dataset, exhibiting superior advantages over random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). Moreover, DNNs were advantageous for automated feature learning, nonlinear modeling, adaptability, and generalization. This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples. This established approach holds promise for plant metabolomics and is not limited to ginseng.

The quality of traditional Chinese medicine (TCM) prescriptions (TCMPs) is critical to clinical efficacy; however, evaluating their consistency and identifying sources of variability remain challenging. This study proposes an integrated strategy to assess the quality of 100 widely sold TCMPs. A "one-for-all" chromatographic method was employed to analyze 645 sample batches. This large-scale data collection enabled statistical evaluations, such as hierarchical cluster analysis (HCA) and similarity heatmap, to identify quality inconsistencies. The introduction of a TCM-specific mass spectrometry (MS) database allowed for rapid, automated annotation of chemicals across 100 prescriptions and facilitated the tracing of raw material sources. Results indicate that 19% of prescriptions exhibited chemical inconsistencies, which are associated with high market value, low pricing, and substantial price disparities. The MS database allowed rapid annotation of 761 and 673 compounds in positive and negative modes, respectively, in 100 TCMPs, with 73 prescriptions reported for the first time. The tracing efforts succeeded in identifying >40% of the raw material sources for 51 prescriptions. P93 (Yinianjin (YNJ)) is a case in which the chromatographic profiles from three manufacturers displayed inconsistencies. Analysis using the database traced divergent peaks to Rhei Radix et R hizoma (RRER). Verification with self-prepared samples confirmed that manufacturers utilized three distinct botanical sources. This integrated strategy provides a scalable framework for quality control in TCMPs.

Background and Objectives: The risk profiles, procedural characteristics, and clinical outcomes for women undergoing bifurcation percutaneous coronary intervention (PCI) are not well defined compared to those in men. Methods: COronary BIfurcation Stenting III (COBIS III) is a multicenter, real-world registry of 2,648 patients with bifurcation lesions treated with second-generation drug-eluting stents.We compared the angiographic and procedural characteristics and clinical outcomes based on sex. The primary outcome was 5-year target lesion failure (TLF), a composite of cardiac death, myocardial infarction, and target lesion revascularization. Results: Women (n=635, 24%) were older, had hypertension and diabetes more often, and had smaller main vessel and side branch reference diameters than men. The pre- and post-PCI angiographic percentage diameter stenoses of the main vessel and side branch were comparable between women and men. There were no differences in procedural characteristics between the sexes. Women and men had a similar risk of TLF (6.3% vs. 7.1%, p=0.63) as well as its individual components and sex was not an independent predictor of TLF. This finding was consistent in the left main and 2 stenting subgroups. Conclusions In patients undergoing bifurcation PCI, sex was not an independent predictor of adverse outcome.

Background: Type 1 diabetes (T1D) results in autoreactive T cells chronically destroying pancreatic islets. This often results in irreplaceable loss of insulin-producing beta cells. To reverse course, a combinatorial strategy of employing glucose-responsive insulin restoration coupled with inhibiting autoreactive immune responses is required. Methods: Non-obese diabetic mice received a single intraperitoneal implantation of a novel biomaterial co-seeded with insulin-producing islets and T regulatory cells (Tregs). Controls included biomaterial seeded solely with islets, or biomaterial only groups. Mice were interrogated for changes in inflammation and diabetes progression via blood glucose monitoring, multiplex serum cytokine profiling, flow cytometry and immunohistochemistry assessments. Results: Islet and Tregs co-seeded biomaterial recipients had increased longevity, insulin secretion, and normoglycemia through 180 days post-implantation compared to controls. Serum profile revealed reduced TNFα, IFNγ, IL-1β and increased IL-10, insulin, C-Peptide, PP and PPY in recipients receiving co-seeded biomaterial. Evaluation of the resected co-seeded biomaterial revealed reduced infiltrating autoreactive CD8 + and CD4 + T cells concomitant with sustained presence of Foxp3 + Tregs; further analysis revealed that the few infiltrated resident effector CD4+ or CD8+ T cells were anergic, as measured by low levels of IFNγ and Granzyme-B upon stimulation when compared to controls. Interestingly, studies also revealed increased Tregs in the pancreas. However, there was no restoration of the pancreas beta cell compartment, suggesting normoglycemia and production of insulin levels were largely supported by the implanted co-seeded biomaterial. Conclusion These studies show the efficacy of a combinatorial approach seeding Tregs with pancreatic islets in a novel self-assembling organoid for reversing T1D.

Background: Type 1 diabetes (T1D) results in autoreactive T cells chronically destroying pancreatic islets. This often results in irreplaceable loss of insulin-producing beta cells. To reverse course, a combinatorial strategy of employing glucose-responsive insulin restoration coupled with inhibiting autoreactive immune responses is required. Methods: Non-obese diabetic mice received a single intraperitoneal implantation of a novel biomaterial co-seeded with insulin-producing islets and T regulatory cells (Tregs). Controls included biomaterial seeded solely with islets, or biomaterial only groups. Mice were interrogated for changes in inflammation and diabetes progression via blood glucose monitoring, multiplex serum cytokine profiling, flow cytometry and immunohistochemistry assessments. Results: Islet and Tregs co-seeded biomaterial recipients had increased longevity, insulin secretion, and normoglycemia through 180 days post-implantation compared to controls. Serum profile revealed reduced TNFα, IFNγ, IL-1β and increased IL-10, insulin, C-Peptide, PP and PPY in recipients receiving co-seeded biomaterial. Evaluation of the resected co-seeded biomaterial revealed reduced infiltrating autoreactive CD8 + and CD4 + T cells concomitant with sustained presence of Foxp3 + Tregs; further analysis revealed that the few infiltrated resident effector CD4+ or CD8+ T cells were anergic, as measured by low levels of IFNγ and Granzyme-B upon stimulation when compared to controls. Interestingly, studies also revealed increased Tregs in the pancreas. However, there was no restoration of the pancreas beta cell compartment, suggesting normoglycemia and production of insulin levels were largely supported by the implanted co-seeded biomaterial. Conclusion These studies show the efficacy of a combinatorial approach seeding Tregs with pancreatic islets in a novel self-assembling organoid for reversing T1D.

Background and Objectives: The risk profiles, procedural characteristics, and clinical outcomes for women undergoing bifurcation percutaneous coronary intervention (PCI) are not well defined compared to those in men. Methods: COronary BIfurcation Stenting III (COBIS III) is a multicenter, real-world registry of 2,648 patients with bifurcation lesions treated with second-generation drug-eluting stents.We compared the angiographic and procedural characteristics and clinical outcomes based on sex. The primary outcome was 5-year target lesion failure (TLF), a composite of cardiac death, myocardial infarction, and target lesion revascularization. Results: Women (n=635, 24%) were older, had hypertension and diabetes more often, and had smaller main vessel and side branch reference diameters than men. The pre- and post-PCI angiographic percentage diameter stenoses of the main vessel and side branch were comparable between women and men. There were no differences in procedural characteristics between the sexes. Women and men had a similar risk of TLF (6.3% vs. 7.1%, p=0.63) as well as its individual components and sex was not an independent predictor of TLF. This finding was consistent in the left main and 2 stenting subgroups. Conclusions In patients undergoing bifurcation PCI, sex was not an independent predictor of adverse outcome.

Background: Type 1 diabetes (T1D) results in autoreactive T cells chronically destroying pancreatic islets. This often results in irreplaceable loss of insulin-producing beta cells. To reverse course, a combinatorial strategy of employing glucose-responsive insulin restoration coupled with inhibiting autoreactive immune responses is required. Methods: Non-obese diabetic mice received a single intraperitoneal implantation of a novel biomaterial co-seeded with insulin-producing islets and T regulatory cells (Tregs). Controls included biomaterial seeded solely with islets, or biomaterial only groups. Mice were interrogated for changes in inflammation and diabetes progression via blood glucose monitoring, multiplex serum cytokine profiling, flow cytometry and immunohistochemistry assessments. Results: Islet and Tregs co-seeded biomaterial recipients had increased longevity, insulin secretion, and normoglycemia through 180 days post-implantation compared to controls. Serum profile revealed reduced TNFα, IFNγ, IL-1β and increased IL-10, insulin, C-Peptide, PP and PPY in recipients receiving co-seeded biomaterial. Evaluation of the resected co-seeded biomaterial revealed reduced infiltrating autoreactive CD8 + and CD4 + T cells concomitant with sustained presence of Foxp3 + Tregs; further analysis revealed that the few infiltrated resident effector CD4+ or CD8+ T cells were anergic, as measured by low levels of IFNγ and Granzyme-B upon stimulation when compared to controls. Interestingly, studies also revealed increased Tregs in the pancreas. However, there was no restoration of the pancreas beta cell compartment, suggesting normoglycemia and production of insulin levels were largely supported by the implanted co-seeded biomaterial. Conclusion These studies show the efficacy of a combinatorial approach seeding Tregs with pancreatic islets in a novel self-assembling organoid for reversing T1D.