OBJECTIVE To comprehensively evaluate the quality of Sanzi powder from different batches based on 12 components quantitative analysis combined with chemical pattern recognition and entropy weight-TOPSIS method. METHODS The contents of 12 components in 15 batches of Sanzi powder （No. S1-S15） were determined by HPLC-MS/MS， such as ethyl gallate， gallic acid， ferulic acid， corilagin， genipin-1-O-β-D-gentiobioside， toosendanin， geniposide， caffeic acid， methyl deacetylated coumarinate， tannic acid， rutin， quercetin. Cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were conducted on the assay results. Using variable importance projection （VIP） value＞1 and P＜0.05 as the evaluation criteria， the quality differential markers in Sanzi powder were screened. The entropy weight method was used to calculate the weight value， and TOPSIS method was used to rank the quality of 15 batches of Sanzi powder from superior to inferior. RESULTS The contents of the 12 components were 13.494-24.292， 2 069.608-3 188.100， 1.410-3.616， 1 065.030-2 630.584， 1 404.704-1 838.078， 101.640-354.268， 9 193.720-14 777.854， 1.240-5.060， 148.028-5 541.990， 4 261.422-5 607.438， 107.560- 195.512， 2.226-4.192 μg/g， respectively. The results of CA， PCA and OPLS-DA indicated that 15 batches of Sanzi powder could be clustered into two groups. Specifically， batches S3， S7， S10 and S15 were grouped into one category， and remaining batches were grouped into one category. VIP values of geniposide， quercetin， caffeic acid， and methyl deacetylated coumarinate were all greater than 1， with corresponding P-values less than 0.05. The results of the entropy weight-TOPSIS analysis revealed that methyl deacetylate exhibited the smallest information entropy and the highest weight. The relative closeness degrees of samples S3， S7， S10 and S15 ranged from 0.789 to 0.973， while the remaining samples ranged from 0.054 to 0.172. CONCLUSIONS The contents of 12 components in Sanzi powder could be determined accurately by using HPLC-MS/MS technology. Methyl deacetylated coumarinate， geniposide， quercetin and caffeic acid were identified as the quality differential markers. It was found that the overall quality of samples S3， S7， S10 and S15 were superior to that of other batches. Notably， the quality of Gardeniae Fructus decoction pieces emerges as a critical factor in ensuring the consistency of the preparation’s quality.

ObjectiveTo explore the mechanism of action of Wuwei Shenqintang in improving pulmonary fibrosis by using ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS） for metabolomic analysis of lung tissue and feces. MethodsA rat model with pulmonary fibrosis was established by intratracheal injection of 5 mg·kg^-1 bleomycin. The successfully modeled rats were randomly divided into a blank group， a model group， a prednisone （3.15 mg·kg^-1） group， and low-dose， medium-dose， and high-dose groups of Wuwei Shenqintang （4.586， 9.172， 18.344 g·kg^-1）. The rats were given intragastric administration once a day for 28 consecutive days. Hematoxylin-eosin （HE） staining was used to measure the pathological changes in lung and colon tissue， and Masson staining was used to detect the degree of pulmonary fibrosis. Enzyme-linked immunosorbent assay （ELISA） was used to detect the expression of interleukin-1β （IL-1β）， IL-6， IL-8， tumor necrosis factor-α （TNF-α）， and secretory immunoglobulin A （SIgA） in bronchoalveolar lavage fluid and intestinal mucus. Immunohistochemistry and reverse transcription quantitative polymerase chain reaction （Real-time PCR） were used to detect the expression of type Ⅰ collagen （Col-Ⅰ）， fibronectin （FN）， and alpha smooth muscle actin （α-SMA） in lung tissue. UPLC-Q-TOF-MS was used to study the changes in the metabolic network of lung tissue and feces in rats with pulmonary fibrosis treated with Wuwei Shenqintang， screen potential biomarkers for the treatment of pulmonary fibrosis by Wuwei Shenqintang， and perform pathway enrichment analysis. ResultsCompared with the blank group， the model group showed extensive inflammatory cell infiltration and continuous fibrotic lesions in lung tissue， colonic mucosal damage， and connective tissue hyperplasia. The expression of IL-6， IL-8， IL-1β， TNF-α， and SIgA in bronchoalveolar lavage fluid and intestinal mucus was significantly increased （P<0.01）. The expression of Col-Ⅰ， FN， and α-SMA proteins and mRNAs in lung tissue was significantly upregulated （P<0.01）. Compared with the model group， the groups of Wuwei Shenqintang exhibited significantly reduced inflammatory infiltration and blue collagen deposition in lung tissue， alleviated colonic damage， decreased expression of IL-6， IL-8， IL-1β， TNF-α， and SIgA in bronchoalveolar lavage fluid and intestinal mucus （P<0.01）， and reduced average absorbance values and mRNA expression of Col-Ⅰ， FN， and α-SMA in lung tissue （P<0.05， P<0.01）， with the prednisone group and the medium-dose and high-dose groups of Wuwei Shenqintang showing the most significant effects. The metabolomics results for lung tissue showed that compared with the blank group， the model group had 19 significantly different compounds （P<0.05， P<0.01）. Wuwei Shenqintang could normalize 17 of these compounds compared with the model group （P<0.05， P<0.01）. Fecal metabolomics results showed that compared with those in the blank group， there were 42 compounds with significant differences in the model group （P<0.05， P<0.01）. Compared with the model control group， Wuwei Shenqintang could normalize 41 of these compounds （P<0.05， P<0.01）. The combined analysis results indicated that Wuwei Shenqintang might inhibit pulmonary fibrosis by regulating the biosynthesis of phenylalanine， tyrosine， and tryptophan as well as the retinol metabolism pathway. ConclusionWuwei Shenqintang can ameliorate pulmonary fibrosis， which may be related to the regulation of the "lung-intestine axis".

ObjectiveTo explore the mechanism of action of Wuwei Shenqintang in improving pulmonary fibrosis by using ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS） for metabolomic analysis of lung tissue and feces. MethodsA rat model with pulmonary fibrosis was established by intratracheal injection of 5 mg·kg^-1 bleomycin. The successfully modeled rats were randomly divided into a blank group， a model group， a prednisone （3.15 mg·kg^-1） group， and low-dose， medium-dose， and high-dose groups of Wuwei Shenqintang （4.586， 9.172， 18.344 g·kg^-1）. The rats were given intragastric administration once a day for 28 consecutive days. Hematoxylin-eosin （HE） staining was used to measure the pathological changes in lung and colon tissue， and Masson staining was used to detect the degree of pulmonary fibrosis. Enzyme-linked immunosorbent assay （ELISA） was used to detect the expression of interleukin-1β （IL-1β）， IL-6， IL-8， tumor necrosis factor-α （TNF-α）， and secretory immunoglobulin A （SIgA） in bronchoalveolar lavage fluid and intestinal mucus. Immunohistochemistry and reverse transcription quantitative polymerase chain reaction （Real-time PCR） were used to detect the expression of type Ⅰ collagen （Col-Ⅰ）， fibronectin （FN）， and alpha smooth muscle actin （α-SMA） in lung tissue. UPLC-Q-TOF-MS was used to study the changes in the metabolic network of lung tissue and feces in rats with pulmonary fibrosis treated with Wuwei Shenqintang， screen potential biomarkers for the treatment of pulmonary fibrosis by Wuwei Shenqintang， and perform pathway enrichment analysis. ResultsCompared with the blank group， the model group showed extensive inflammatory cell infiltration and continuous fibrotic lesions in lung tissue， colonic mucosal damage， and connective tissue hyperplasia. The expression of IL-6， IL-8， IL-1β， TNF-α， and SIgA in bronchoalveolar lavage fluid and intestinal mucus was significantly increased （P<0.01）. The expression of Col-Ⅰ， FN， and α-SMA proteins and mRNAs in lung tissue was significantly upregulated （P<0.01）. Compared with the model group， the groups of Wuwei Shenqintang exhibited significantly reduced inflammatory infiltration and blue collagen deposition in lung tissue， alleviated colonic damage， decreased expression of IL-6， IL-8， IL-1β， TNF-α， and SIgA in bronchoalveolar lavage fluid and intestinal mucus （P<0.01）， and reduced average absorbance values and mRNA expression of Col-Ⅰ， FN， and α-SMA in lung tissue （P<0.05， P<0.01）， with the prednisone group and the medium-dose and high-dose groups of Wuwei Shenqintang showing the most significant effects. The metabolomics results for lung tissue showed that compared with the blank group， the model group had 19 significantly different compounds （P<0.05， P<0.01）. Wuwei Shenqintang could normalize 17 of these compounds compared with the model group （P<0.05， P<0.01）. Fecal metabolomics results showed that compared with those in the blank group， there were 42 compounds with significant differences in the model group （P<0.05， P<0.01）. Compared with the model control group， Wuwei Shenqintang could normalize 41 of these compounds （P<0.05， P<0.01）. The combined analysis results indicated that Wuwei Shenqintang might inhibit pulmonary fibrosis by regulating the biosynthesis of phenylalanine， tyrosine， and tryptophan as well as the retinol metabolism pathway. ConclusionWuwei Shenqintang can ameliorate pulmonary fibrosis， which may be related to the regulation of the "lung-intestine axis".

Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*

Computational approaches for predicting drug-target interactions (DTIs) are pivotal in advancing drug discovery. Current methodologies leveraging heterogeneous networks often fall short in fully integrating both local and global network information. To comprehensively consider network information, we propose DHGT-DTI, a novel deep learning-based approach for DTI prediction. Specifically, we capture the local and global structural information of the network from both neighborhood and meta-path perspectives. In the neighborhood perspective, we employ a heterogeneous graph neural network (HGNN), which extends Graph Sample and Aggregate (GraphSAGE) to handle diverse node and edge types, effectively learning local network structures. In the meta-path perspective, we introduce a Graph Transformer with residual connections to model higher-order relationships defined by meta-paths, such as "drug-disease-drug", and use an attention mechanism to fuse information across multiple meta-paths. The learned features from these dual perspectives are synergistically integrated for DTI prediction via a matrix decomposition method. Furthermore, DHGT-DTI reconstructs not only the DTI network but also auxiliary networks to bolster prediction accuracy. Comprehensive experiments on two benchmark datasets validate the superiority of DHGT-DTI over existing baseline methods. Additionally, case studies on six drugs used to treat Parkinson's disease not only validate the practical utility of DHGT-DTI but also highlight its broader potential in accelerating drug discovery for other diseases.

Obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) are linked to numerous chronic conditions, including cardiovascular disease, atherosclerosis, chronic kidney disease, and type II diabetes. Previous research identified the natural flavonoid diosmin, derived from Chrysanthemum morifolium, as a regulator of glucose metabolism. However, its effects on lipid metabolism and underlying mechanisms remained unexplored. The AMP-activated protein kinase (AMPK) pathway serves a critical function in glucose and lipid metabolism. The relationship between diosmin and the AMPK pathway has not been previously documented. This investigation examined diosmin's capacity to reduce lipid content through AMPK pathway activation in hepatoblastoma cell line G2 (HepG2) and 3T3-L1 cells. The study revealed that diosmin inhibits lipogenesis, indicating its potential as an anti-obesity agent in obese mice. Moreover, diosmin demonstrated effective MASLD alleviation in vivo. These findings suggest that diosmin may represent a promising therapeutic candidate for treating obesity and MASLD.
Diosmin/administration & dosage* ; Animals ; AMP-Activated Protein Kinases/genetics* ; Humans ; Non-alcoholic Fatty Liver Disease/enzymology* ; Mice ; Obesity/enzymology* ; Hep G2 Cells ; Male ; 3T3-L1 Cells ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Lipid Metabolism/drug effects* ; Chrysanthemum/chemistry* ; Lipogenesis/drug effects*

Congenital cranial dysinnervation disorders(CCDDs)are a group of diseases with congenital non-progressive developmental abnormalities or absence of one or more cranial nerves, resulting in primary or secondary abnormalities of cranial nerves innervating the extraocular muscles. CCDDs can be sporadic or hereditary, and may be accompanied by systemic abnormalities. In recent years, with the research progress of neuropathology, neuroimaging, and genetics, it has not only been clarified that the cause of eye movement disorder in CCDDs is neurogenic, but also been found the pathogenic genes of CCDDs, including SALL4, HOXA1, KIF21A, PHOX2A, TUBB3, and HOXB1, etc. In this review, the relevant domestic and international literatures on the molecular genetics and neuroscience of CCDDs in recent years are reviewed, aiming to address how the causing gene mutations of CCDDs affect brain neural development and further lead to congenital abnormal cranial nerve innervation, in order to provide references for the clinical and basic research of CCDDs.

Objective To conduct content analysis of competency assessment indicators for clinical pharmacists both domestically and internationally,thereby providing reference for the construction of competency for clinical pharmacists.Methods Literature related to the competency of clinical pharmacists at home and abroad was retrieved.Content analysis was applied to literature that met the criteria.Results Ultimately,22 articles and 14 competency frameworks were included.From these,5 primary categories including personal qualities,knowledge,individual abilities,pharmaceutical services,teaching and research,15 secondary categories and 61 tertiary categories were extracted.Conclusion The competency indicator system for clinical pharmacists was initially constructed,providing reference for clinical pharmacists in practical work.

Objectives:To analyze the consistency of evaluating left ventricular hemodynamics (HDF) based on single plane and multi plane cine sequences of magnetic resonance mitral valve orifice.Methods:A prospective study was conducted on 48 healthy adults, and two methods were used to measure the mitral valve diameter and calculate HDF parameters. The first method was to measure the diameter of the mitral valve opening in the left ventricular three chamber cine sequence; The second method is to measure the mitral valve diameter using cine sequences of two chamber, three chamber, and four chamber hearts, and then take the average value. Paired t-tests were used to compare the differences in HDF measured by two methods, and Pearson correlation coefficient ( r), intra group correlation coefficient ( ICC), and Bland-Altman analysis were used to test the consistency and reproducibility of the two methods. Results:The root mean square (RMS) of longitudinal HDF calculated using single plane and multi plane mitral valve diameters were [(17.28±4.41)% vs (17.21±4.61)%] ( P=0.379) for the entire cardiac cycle, [(21.45±5.54)% vs (21.49±5.68)%] ( P=0.646) for systolic phase, and [(12.78±4.10)% vs (12.54±4.24)%] ( P=0.106) for diastolic phase, respectively. The difference in the calculation results of HDF parameters related to ventricular function was not statistically significant (all P>0.05), and there was good consistency ( r=0.924-0.996, ICC=0.924-0.995). The two HDF parameters related to atrial function were sensitive to the measurement method of mitral valve orifice diameter [RMS of longitudinal HDF during active atrial emptying: (3.26±1.51)% vs (3.32±1.55)%, P=0.006; longitudinal HDF pulse during active atrial emptying: (-2.60±1.28)% vs (-2.76±1.30)%, P<0.001]. Conclusions:The ventricular function related HDF parameters obtained from the analysis of mitral valve orifice diameter using single plane and multi plane methods have good consistency, and can be evaluated using relatively simple single plane methods for left ventricular HDF.