Traditional Chinese medicine(TCM) solid waste is characterized by widespread availability, renewability, and substantial production volume. In the context of the "dual carbon" goals, the pyrolysis of TCM solid waste for producing fuel gas for recycling in pharmaceutical production has emerged as a crucial strategy for optimizing the energy structure in the TCM industry and developing renewable energy. This paper comprehensively reviews both internal and external factors that influence the pyrolysis of TCM solid waste. Internal factors encompass moisture content, particle size, ash content, and the morphology of the raw materials, while external factors include pyrolysis conditions, equivalence ratios, types of gasifiers, and gasifying agents. Furthermore, this paper details the challenges associated with the pyrolysis of TCM solid waste, such as the dispersion of feedstocks, the diversity of resources, the complexity of the pyrolysis process, and the variations in gasifier performance. Finally, this paper proposes measures to address these challenges. This paper aims to provide insights into the development of a circular economy for TCM resources and the advancement of low-carbon energy utilization in the TCM industry.
Pyrolysis ; Carbon/chemistry* ; Medicine, Chinese Traditional ; Solid Waste/analysis* ; Drugs, Chinese Herbal/chemistry* ; Gases/chemistry*

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To investigate the efficacy of externally applied mirabilite combined with infrared irradiation in promoting wound healing following biliary tract surgery.Methods Patients who underwent open surgery for biliary tract disease in our department between January 2022 and April 2025 were randomly assigned to one of three groups:(1)Combination group(n=60),which received postoperative wound treatment with mirabilite application combined with infrared irradiation;(2)Mirabilite group(n=60),treated with mirabilite application alone;and(3)Infrared group(n=60),treated with infrared irradiation alone.The primary outcomes included wound healing grade on postoperative day 7,pain intensity measured on days 3,5,and 7,and wound healing status up to discharge.For cases with suboptimal healing,the duration required for complete healing following intervention was documented.Secondary outcomes encompassed length of postoperative hospital stay and Vancouver Scar Scale(VSS)scores—assessing scar pigmentation,thickness,vascularity,and pliability—evaluated at 3 months postoperatively.Results The combination group exhibited significantly lower rates of poor wound healing,shorter postoperative hospital stays,improved VSS scores—particularly in terms of scar thickness and pliability—and reduced pain levels on the 3rd and 5th postoperative days compared to the other two groups(P<0.05).Conclusions The combined use of mirabilite and infrared irradiation for surgical incisions following biliary tract surgery represents an effective,economical,and readily accessible adjuvant therapy.It significantly reduces the incidence of impaired wound healing and effectively alleviates early postoperative pain,thereby demonstrating strong potential for clinical promotion.

AIM To evaluate the quality of Tibetan medicine"Sangdi"based on HPLC fingerprints combined with chemometrics.METHODS The analysis was performed on a 30 ℃ thermostatic Welch Ultimate AQ-C18 column(250 mm × 4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.2％phosphoric acid flowing at 1 mL/min in a gradient elution manner,and the detection wavelength was set at 245 nm,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were performed,the contents of gentiopicroside,sweroside,mangiferin,isoorientin,8-hydroxy-1,3,5-trimethoxyxanthone(R2)and 1,8-dihydroxy-3,7-dimethoxyxanthone(R3)were determined.RESULTS There were 18 common peaks in the fingerprints for 15 batches of samples with the similarities of more than 0.90.Six constituents showed good linear relationships within their own ranges(R 2 ≥ 0.999 2),whose average recoveries were 96.93％-103.58％with the RSDs of 0.82％-2.9％.Various batches of samples were clustered into 2 categories,4 principal components demonstrated the accumulative variance contribution rate of 86.404％,mangiferin,gentiopicroside and isoorientin were taken as quality difference markers.CONCLUSION This stable,reliable and reproducibe method can provide a reference for the comprehensive quality evaluation of"Sangdi".

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

The transcriptome sequencing based on Illumina Novaseq 6000 Platform was performed with the untreated seed embryo(DS), stratified seed embryo(SS), and germinated seed embryo(GS) of Zanthoxylum nitidum, aiming to explore the molecular mechanism regulating the seed dormancy and germination of Z. nitidum and uncover key differentially expressed genes(DEGs). A total of 61.41 Gb clean data was obtained, and 86 386 unigenes with an average length of 773.49 bp were assembled. A total of 29 290 DEGs were screened from three comparison groups(SS vs DS, GS vs SS, and GS vs DS), and these genes were annotated on 134 Kyoto Encyclopedia of Genes and Genomes(KEGG) pathways. KEGG enrichment analysis revealed that the plant hormone signal transduction pathway is the richest pathway, containing 226 DEGs. Among all DEGs, 894 transcription factors were identified, which were distributed across 34 transcription factor families. These transcription factors were also mainly concentrated in plant hormone signal transduction and mitogen-activated protein kinase(MAPK) signaling pathways. Further real-time quantitative polymerase chain reaction(RT-qPCR) validation of 12 DEGs showed that the transcriptome data is reliable. During the process of seed dormancy release and germination, a large number of DEGs involved in polysaccharide degradation, protein synthesis, lipid metabolism, and hormone signal transduction were expressed. These genes were involved in multiple metabolic pathways, forming a complex regulatory network for dormancy and germination. This study lays a solid foundation for analyzing the molecular mechanisms of seed dormancy and germination of Z. nitidum.
Zanthoxylum/metabolism* ; Plant Dormancy/genetics* ; Seeds/metabolism* ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Transcriptome ; Gene Expression Profiling ; Germination ; Transcription Factors/metabolism* ; Plant Growth Regulators/genetics* ; Signal Transduction

Because of the unclear active substances, metabolic pathways, and targets of new drugs of traditional Chinese medicine(TCM), non-clinical safety evaluation often fails to accurately locate the target organs and tissue exposed to medicinal toxicity. The human use experience(HUE) contains important safety information of TCM, while the clinical safety data in the past HUE are few and have not been effectively applied. Standardized prospective HUE studies should be carried out to collect the clinical safety data, in which appropriate physical and chemical indicators(including blood, urine, and stool routine), liver biochemical indicators, kidney biochemical indicators, and cardiovascular biochemical indicators should be selected for safety evaluation, and the detection time point and sample size should be rationally designed. Importance should be attached to the observation of symptoms and signs of adverse events/reactions in patients as well as the safety information of special groups such as the elderly, children, and pregnant women. The adverse events of TCM should be observed, judged, and treated according to the theory and the diagnosis and treatment mode of TCM. The clinical safety information about the HUE should be comprehensively collected for new drugs of TCM to make up for the lack of extrapolation of toxicological test results to humans. The unique advantages of clinical origin of new drugs of TCM should be given full play for cross-reference of the results of toxicological research and the conclusions of HUE safety evaluation. In addition, benefit-risk assessment should be conducted based on HUE, and a panoramic safety evaluation system characterized by macro and micro combination and in line with the characteristics of TCM should be established to improve the success rate in the research and development of new drugs of TCM.
Humans ; Drugs, Chinese Herbal/adverse effects* ; Medicine, Chinese Traditional/adverse effects* ; Drug-Related Side Effects and Adverse Reactions ; Female

A pyrene-phenol-based fluorescent probe PyP which showed typical intramolecular charge transfer(ICT)and monomer-excimer activities was synthesized by using pyrene carboxaldehyde hydrazone and 4-tert-butyl-2,6-diformylphenol as the raw materials.The effects of solvents on PyP were studied,and the results showed that the color of protic polar solvents(Ethanol,N,N-dimethylformamide,methanol and H2O)were successfully identified.Based on the solvent polarity-regulated PyP monomer-excimer switching,the rapid and highly sensitive ratiometric probe,"Turn-off"and"Turn-on"multimodal probes were established for detection of trace water content in organic solvents(Dimethyl sulfoxide,N,N-dimethylformamide,ethanol and methanol),with detection limits(3σ/k)of 0.0021％,0.046％,0.062％and 0.024％.The method was successfully used to detect water content in dimethyl sulfoxide,N,N-dimethy lformamide,ethanol and methanol commercial organic solvents,with recoveries ranging from 97.2％to 108.0％.The developed method showed good accuracy and stability,and had good application prospect.

This study investigates the pharmacokinetics and metabolic characteristics of three marine-derived piericidins as potential drug leads for kidney disease: piericidin A (PA) and its two glycosides (GPAs), glucopiericidin A (GPA) and 13-hydroxyglucopiericidin A (13-OH-GPA). The research aims to facilitate lead selection and optimization for developing a viable preclinical candidate. Rapid absorption of PA and GPAs in mice was observed, characterized by short half-lives and low bioavailability. Glycosides and hydroxyl groups significantly enhanced the absorption rate (13-OH-GPA > GPA > PA). PA and GPAs exhibited metabolic instability in liver microsomes due to Cytochrome P450 enzymes (CYPs) and uridine diphosphoglucuronosyl transferases (UGTs). Glucuronidation emerged as the primary metabolic pathway, with UGT1A7, UGT1A8, UGT1A9, and UGT1A10 demonstrating high elimination rates (30%-70%) for PA and GPAs. This rapid glucuronidation may contribute to the low bioavailability of GPAs. Despite its low bioavailability (2.69%), 13-OH-GPA showed higher kidney distribution (19.8%) compared to PA (10.0%) and GPA (7.3%), suggesting enhanced biological efficacy in kidney diseases. Modifying the C-13 hydroxyl group appears to be a promising approach to improve bioavailability. In conclusion, this study provides valuable metabolic insights for the development and optimization of marine-derived piericidins as potential drug leads for kidney disease.
Animals ; Male ; Mice ; Aquatic Organisms/chemistry* ; Biological Availability ; Cytochrome P-450 Enzyme System/metabolism* ; Glucuronosyltransferase/metabolism* ; Microsomes, Liver/metabolism* ; Molecular Structure ; Biological Products/pharmacokinetics* ; Pyridines/pharmacokinetics*