ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

Objective:To investigate the expression of family with sequence similarity 110 member B (FAM110B) and analyze its associations with clinical prognosis, tumor heterogeneity, and immune-related gene expression through a pan-cancer analysis.Methods:TCGA and GTEx databases were used to evaluate the differential expression of FAM110B at mRNA level in pan-cancer and normal tissues. SangerBox platform and TISIDB database were used to analyze the associations of the expression level of FAM110B mRNA with clinical stages, histological grades, and overall survival of patients. The cBioPortal database and the GSCALite platform were used to analyze the genetic variations in the FAM110B gene, and the associations of FAM110B expression with immune regulatory genes, immune checkpoints, tumor mutation burden, microsatellite instability, and anti-cancer drug sensitivity. qRT-qPCR and Western blot were used to detect the expression of FAM110B at mRNA and protein levels in pancreatic cancer, respectively. Independent samples t-test was employed to assess the significance of differences between two groups; Spearman correlation coefficient was used to evaluate the associations between variables; Log-rank test was used for survival analysis. Results:FAM110B was abnormally expressed in a variety of tumors and associated with the overall survival of patients ( P<0.05), with the most significant difference observed in pancreatic cancer ( P<0.001). In vitro experiments verified that FAM110B was highly expressed in PANC-1 cells ( P<0.01), a pancreatic cancer cell line, and its expression level was related to pathological staging and histological grading ( P<0.001). In addition, the expression level of FAM110B mRNA was related to the expression levels of multiple immunomodulatory genes and correlated with tumor mutational burden and microsatellite instability in various tumors ( P<0.05). Conclusions:FAM110B is related to the prognosis, immune regulation, and tumor heterogeneity across multiple cancers, demonstrating promising potential in both basic research and clinical treatment of various cancers.

Objective:To investigate the expression of family with sequence similarity 110 member B (FAM110B) and analyze its associations with clinical prognosis, tumor heterogeneity, and immune-related gene expression through a pan-cancer analysis.Methods:TCGA and GTEx databases were used to evaluate the differential expression of FAM110B at mRNA level in pan-cancer and normal tissues. SangerBox platform and TISIDB database were used to analyze the associations of the expression level of FAM110B mRNA with clinical stages, histological grades, and overall survival of patients. The cBioPortal database and the GSCALite platform were used to analyze the genetic variations in the FAM110B gene, and the associations of FAM110B expression with immune regulatory genes, immune checkpoints, tumor mutation burden, microsatellite instability, and anti-cancer drug sensitivity. qRT-qPCR and Western blot were used to detect the expression of FAM110B at mRNA and protein levels in pancreatic cancer, respectively. Independent samples t-test was employed to assess the significance of differences between two groups; Spearman correlation coefficient was used to evaluate the associations between variables; Log-rank test was used for survival analysis. Results:FAM110B was abnormally expressed in a variety of tumors and associated with the overall survival of patients ( P<0.05), with the most significant difference observed in pancreatic cancer ( P<0.001). In vitro experiments verified that FAM110B was highly expressed in PANC-1 cells ( P<0.01), a pancreatic cancer cell line, and its expression level was related to pathological staging and histological grading ( P<0.001). In addition, the expression level of FAM110B mRNA was related to the expression levels of multiple immunomodulatory genes and correlated with tumor mutational burden and microsatellite instability in various tumors ( P<0.05). Conclusions:FAM110B is related to the prognosis, immune regulation, and tumor heterogeneity across multiple cancers, demonstrating promising potential in both basic research and clinical treatment of various cancers.

Objective To explore self-emulsifying particle size characterization methods and compare the regularity of various methods. Methods By setting the clarity level of turbidity standard solution, with two less soluble drugs-diterpene lactone compounds Chuanhuning and dihydropyridine drug nifedipine as model drugs, 10-12 clarity level prescriptions were selected from six different ternary phase diagram. Laser particle size scanner was used to determine the particle size, and UV-visible spectrophotometry to determine its absorbance. Three methods of particle size characterization rules were compared by drawing charts. Results There was a positive correlationship among droplet particle size, absorbance and clarity grade of emulsion formed by prescription in the same phase diagram. But, there was no regularity among droplet particle size, absorbance and clarity grade of emulsion formed by prescription in different phase diagram. Conclusion The droplet particle size of emulsion formed by prescription containing the same drugs and excipients in different proportions can be compared by clarity with visual method or absorbance with UV-visible spectrophotometer.

An enzyme-displaying yeast as a whole-cell biocatalyst seemed an alternative to immobilized enzyme, due to its low-cost preparation and simple recycle course. Here, we tried to use a recombinant Pichia pastoris displaying Candida antarctica lipase B (CALB) to catalyze the synthesis of short chain flavor esters in n-heptane. We studied some major influential factors of esterification reactions, such as carbon chain length of the substrates, alcohol structure, enzyme concentration, substrates concentration, molar ratio of the substrates. The acid conversions were determined by titration and gas chromatography analysis. About ten kinds of esters were synthesized successfully, and the acid conversions of eight esters reached as high as 90% after reaction for 6 h. The result also indicated that ethanol and hexanoic acid were the most suitable substrates for this whole-cell catalyst. Under the optimal reaction conditions (the amount of lipase 20 g/L (306.0 U/g-dry cell), hexanoic acid concentration 0.8 mol/L, the molar ratio of hexanoic acid to ethanol 1:1.1), hexanoic acid conversion reached 97.3% after reaction for 1.5 h. To our knowledge, the CALB-displaying P. pastoris whole-cell biocatalyst showed good tolerance for high substrates concentration and exhibited high reaction rate on esterification of short chain flavor esters among the present enzyme/cell reported. Thus, CALB-displaying P pastoris whole-cell biocatalyst was promising in commercial application for flavor esters synthesis in non-aqueous phase.
Biocatalysis ; Candida ; enzymology ; Enzymes, Immobilized ; Esters ; metabolism ; Fungal Proteins ; Lipase ; biosynthesis ; genetics ; Pichia ; genetics ; metabolism ; Recombinant Proteins ; biosynthesis ; genetics