As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

Sennoside A (SA), a typical prodrug, exerts its laxative effect only after its transformation into rheinanthrone catalyzed by gut microbial hydrolases and reductases. Hydrolases have been identified, but reductases remain unknown. By linking a photoreactive group to the SA scaffold, we synthesized a photoaffinity probe to covalently label SA reductases and identified SA reductases using activity-based protein profiling (ABPP). From lysates of an active strain, Bifidobacterium pseudocatenulatum (B. pseudocatenulatum), 397 proteins were enriched and subsequently identified using mass spectrometry (MS). Among these proteins, chromate reductase/nicotinamide adenine dinucleotide (NADH) phosphate (NADPH)-dependent flavin mononucleotide (FMN) reductase/oxygen-insensitive NADPH nitroreductase (nfrA) was identified as a potent SA reductase through further bioinformatic analysis and The Universal Protein Resource (UniProt) database screening. We also determined that recombinant nfrA could reduce SA. Our study contributes to further illuminating mechanisms of SA transformation to rheinanthrone and simultaneously offers an effective method to identify gut bacterial reductases.

Accurate prediction of drug-induced adverse drug reactions (ADRs) is crucial for drug safety evaluation, as it directly impacts public health and safety. While various models have shown promising results in predicting ADRs, their accuracy still needs improvement. Additionally, many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints, which can introduce bias. To address these challenges, we propose ToxBERT, an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system (SMILES) representations. Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve (AUROC) scores of 0.839, 0.759, and 0.664 for predicting drug-induced QT prolongation (DIQT), rhabdomyolysis, and liver injury, respectively, outperforming previous studies. Furthermore, ToxBERT can identify drug substructures that are closely associated with specific ADRs. These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.

In recent decades, the prevalence of hyperuricemia and gout has increased dramatically due to lifestyle changes. The drugs currently recommended for hyperuricemia are associated with adverse reactions that limit their clinical use. In this study, we report that berberine (BBR) is an effective drug candidate for the treatment of hyperuricemia, with its mechanism potentially involving the modulation of gut microbiota and its metabolite, succinic acid. BBR has demonstrated good therapeutic effects in both acute and chronic animal models of hyperuricemia. In a clinical trial, oral administration of BBR for 6 months reduced blood uric acid levels in 22 participants by modulating the gut microbiota, which led to an increase in the abundance of Bacteroides and a decrease in Clostridium sensu stricto_1. Furthermore, Bacteroides fragilis was transplanted into ICR mice, and the results showed that Bacteroides fragilis exerted a therapeutic effect on uric acid similar to that of BBR. Notably, succinic acid, a metabolite of Bacteroides, significantly reduced uric acid levels. Subsequent cell and animal experiments revealed that the intestinal metabolite, succinic acid, regulated the upstream uric acid synthesis pathway in the liver by inhibiting adenosine monophosphate deaminase 2 (AMPD2), an enzyme responsible for converting adenosine monophosphate (AMP) to inosine monophosphate (IMP). This inhibition resulted in a decrease in IMP levels and an increase in phosphate levels. The reduction in IMP led to a decreased downstream production of hypoxanthine, xanthine, and uric acid. BBR also demonstrated excellent renoprotective effects, improving nephropathy associated with hyperuricemia. In summary, BBR has the potential to be an effective treatment for hyperuricemia through the gut-liver axis.

Objective To investigate the differential expression genes(DEGs)related to angiogenesis in rosacea(RA)by utilizing bioinformatics analysis in order to screen the key genes and verify their mRNA expression levels.Methods The gene microarray dataset GSE65914 was retrieved from the Gene Expression Omnibus(GEO)repository.Analyzed by R programming,the dataset was refined to identify DEGs related to RA,and then cross-referenced with angiogenesis-related genes from the GeneCards database to get a subset specific to RA angiogenesis.The process of identifying key genes was augmented by employing protein-protein interaction(PPI)network analysis and Cytoscape-based computational algorithms.The mRNA expression levels of the aforementioned pivotal genes were detected by real-time fluorescent quantitative reverse transcription PCR(RT-qPCR).Results A total of 947 RA-associated DEGs were identified from GEO dataset,and then 202 genes related to RA angiogenesis were further delineated.PPI network analysis and Cytoscape algorithm finally identified 3 key genes,that is,CXCL8,IL-1B,and STAT1.The results of RT-qPCR showed that the mRNA expression levels of MIP-2,GCP-2,IL-1B and STAT1 in RA lesions were significantly higher than those in normal controls(P<0.05).Conclusion With aid of bioinformatics analysis,our study has screened and validated key genes associated with angiogenesis in RA,namely CXCL8,IL-1B,and STAT1,which providing a theoretical basis for elucidating the potential mechanisms underlying RA-induced angiogenesis and developing targeted therapeutic strategies.

Apurinic/apyrimidinic endonuclease 1(APE 1)is a multifunctional protein that plays important roles in DNA repair and regulation of gene expression.Because APE 1 is overexpressed in various cancers,it can serve as a cancer biomarker for aiding clinical diagnosis,guiding therapy,and monitoring prognosis.On this basis,a label-free fluorescent probe was designed based on the primer exchange reaction(PER)strategy for highly sensitive detection of APE 1 activity.In the absence of APE 1,the structure of catalytic hairpin(HP)was stable and could not form G-quadruplex.Therefore,the background fluorescence of this sensing system was very low due to the dissociation of thioflavin T(ThT).In the presence of APE 1,the apurinic/apyrimidinic(AP)site of HP was cleaved by APE 1 and a short nucleic acid fragment that acted as a primer to initiate PER was generated.After PER reaction,a large number of G-quadruplex were produced,which could specifically bind with ThT and resulted in significant increase of fluorescence signal.The combination of low background design of HP and PER amplification made this biosensor had high sensitivity with a detection limit(3σ)of 0.0008 U/mL.Furthermore,the primer sequence was directly generated by the cleavage of APE 1 without additional addition,which not only increased the specificity of the reaction,but also simplified the experiment procedure.Moreover,the use of label-free fluorescence signal reduced the cost of the experiment,and realized rapid detection of APE 1.Finally,this sensor was used to detect APE 1 in human serum samples with spiked recoveries of 91%-104%,proving great potential in study of biological enzyme.

Objective To heterologously express and purify the small ubiquitin-like modifier(SUMO)tag fused organo-phosphorus hydrolase mutant H257Y/L303T(YT),namely SUMO-YT,and evaluate its hydrolytic capacity against ethyl paraoxon and soman.Methods The SUMO tag encoding gene was constructed at the N-terminus of the YT encoding gene with a linker sequence via enzyme digestion and ligation before SUMO-YT was expressed in Escherichia coli.SUMO-YT and YT were purified through ammonium sulfate precipitation and affinity chromatography to obtain high-purity target proteins.The activity and kinetic parameters of the recombinant enzymes were examined using ethyl paraoxon and soman as substrates.Results The system for expression and purification of recombinant enzymes was established,yielding SUMO-YT and YT,and the former exhibited more significantly enhanced hydrolytic efficiency than the latter,with catalytic rates 11-fold higher for paraoxon and 4.4-fold higher for soman.At 37 ℃ and pH 7.2,SUMO-YT reduced the inhibition rate of acetylcholinesterase(AChE)by soman from 100％to 45.7％within 3 minutes,whereas YT reduced it to no more than 80％.Conclusion The high-activity recombinant SUMO-YT is prepared.SUMO tag fusion can significantly enhance the hydrolytic capacity of YT against ethyl paraoxon and soman.

Objective To investigate the role of caspase-1-medicated canonical pyroptosis pathway in chlorogenic acid(CGA)treatment of acute kidney injury(AKI)in mice.Method Twenty-four C57Bl/6J mice were randomized into sham-operated group,cecal ligation and puncture(CLP)group,CLP+dexamethasone group(CLP+DXM group),and CLP+CGA group(n=6)and subjected to either sham operation(laparotomy only)or CLP.After modeling the mice received intravenous infusion of 10 mg/kg normal saline(in sham and CLP groups),1 μg/kg dexamethasone or 15 mg/kg of chlorogenic acid for 6 h delivered using an intravenous pump.Eight hours after the infusion,renal morphology and histology,renal cell apoptosis,and the renal function parameters such as urea nitrogen(BUN),creatinine(Scr),and kidney injury molecule 1(KIM-1)were compared among the 4 groups;the 7-day survival rates of the mice were recorded,and the expressions of NLRP3 inflammasomes and key proteins of the caspase-1 pathway in the renal tissue were detected.Results CGA treatment significantly improved the 7-day survival rate,reduced renal pathologies of the septic mice(P<0.05),and lowered the levels of BUN,Scr,KIM-1,NLRP3 inflammasome and expressions of key proteins of the caspase-1 pathway.Conclusion CGA alleviates AKI in mice with CLP-induced sepsis by inhibiting NLRP3 inflammasomes and the caspase-1 signaling pathway.

Bowel sounds can reflect the movement and health status of the gastrointestinal tract.However,the traditional manual auscultation method has subjective deviation and is time-consuming and labor-intensive.In order to better assist doctors in diagnosing bowel sounds and improve the reliability and efficiency of bowel sound detection,this study proposed a deep neural network model that combines a residual neural network(ResNet),a bidirectional long short-term memory network(BiLSTM),and an attention mechanism.Firstly,a large number of labeled clinical data was collected using the self-developed multi-channel bowel sound acquisition system,and the multi-scale wavelet decomposition and reconstruction method was used to preprocess the bowel sounds.Then,log Mel spectrogram features were extracted and sent to the network for training.Finally,the performance and effectiveness of the model were evaluated and verified by 10-fold cross-validation and an ablation experiment.The experimental results showed that the precision,recall,and F1 score of the model reached 83%,76%,and 79%,respectively,and it could effectively detect bowel sound segments and locate their start and end times,performing better than previous algorithms.This algorithm can not only provide auxiliary information for doctors in clinical practice but also offer technical support for further analysis and research of bowel sounds.

Objective To investigate the role of caspase-1-medicated canonical pyroptosis pathway in chlorogenic acid(CGA)treatment of acute kidney injury(AKI)in mice.Method Twenty-four C57Bl/6J mice were randomized into sham-operated group,cecal ligation and puncture(CLP)group,CLP+dexamethasone group(CLP+DXM group),and CLP+CGA group(n=6)and subjected to either sham operation(laparotomy only)or CLP.After modeling the mice received intravenous infusion of 10 mg/kg normal saline(in sham and CLP groups),1 μg/kg dexamethasone or 15 mg/kg of chlorogenic acid for 6 h delivered using an intravenous pump.Eight hours after the infusion,renal morphology and histology,renal cell apoptosis,and the renal function parameters such as urea nitrogen(BUN),creatinine(Scr),and kidney injury molecule 1(KIM-1)were compared among the 4 groups;the 7-day survival rates of the mice were recorded,and the expressions of NLRP3 inflammasomes and key proteins of the caspase-1 pathway in the renal tissue were detected.Results CGA treatment significantly improved the 7-day survival rate,reduced renal pathologies of the septic mice(P<0.05),and lowered the levels of BUN,Scr,KIM-1,NLRP3 inflammasome and expressions of key proteins of the caspase-1 pathway.Conclusion CGA alleviates AKI in mice with CLP-induced sepsis by inhibiting NLRP3 inflammasomes and the caspase-1 signaling pathway.