Intelligent prescription recommendation has become an important research direction in traditional Chinese medicine (TCM), offering new opportunities to support clinical decision-making and promote the modernization of TCM practice. With the rapid development of artificial intelligence (AI), a variety of computational approaches have been proposed to learn prescription patterns from clinical data and generate personalized treatment recommendations. However, despite increasing research activity, systematic and comprehensive reviews of AI-driven methods for TCM prescription recommendation remain limited. In this study, we present a comprehensive review of computational approaches for herbal prescription recommendation (HPR) in TCM. Existing methods are systematically categorized into several major paradigms, including traditional machine learning methods, topic model methods, sequential generative methods, deep learning and graph-based methods, and large language model–based frameworks. In addition to summarizing methodological developments, we also review commonly used public datasets and evaluation metrics in this field. Furthermore, representative models with publicly available implementations are experimentally evaluated on multiple benchmark datasets to provide a comparative analysis of their performance on the HPR task. Finally, we discuss the key challenges that hinder the practical deployment of intelligent prescription recommendation systems, including data heterogeneity, limited interpretability, and insufficient integration of TCM domain knowledge. Future research directions are outlined to facilitate the development of more reliable, interpretable, and clinically applicable AI-assisted HPR systems for TCM.

The mental health management of laboratory animals is a critical factor in ensuring the reliability of scientific research data. However, due to the subtle nature of mental state alterations and the limitations of current assessment methods, the mental health of laboratory animals is often overlooked by researchers. Therefore, there is an urgent need to explore a new, objective, simple, and practical method for evaluating mental health. Stress, as a primary factor inducing alterations in the mental state of animals, can influence experimental results across multiple research fields through the neuroendocrine-immune network. This paper first elucidates the necessity of mental health management in laboratory animals from three perspectives: factors contributing to stress, neural mechanisms of stress, and research areas affected by stress. It highlights that excluding animals with abnormal mental states before experiments can enhance the efficiency and reproducibility of biomedical studies. Second, this paper briefly summarizes existing methods for assessing the health of laboratory animals, pointing out that approaches such as behavioral tests and metabolomics have many limitations in evaluating stress responses. Existing methods struggle to meet the demand for simple, objective, and non-invasive assessment methods in animal management. Therefore, this paper focuses on hair, a biological sample with the advantages of cumulative information and non-invasive collection, and systematically describes the theoretical basis and technological advances in using hair characteristics as indicators of stress responses from three perspectives: hair traits, the levels of substances in hair, and artificial intelligence (AI). It proposes and supports an innovative technical pathway that combines hair traits with AI-based image analysis, with the aim of offering an improved solution for non-invasive and objective stress assessment, while providing theoretical support for improving the health management system of laboratory animals.

OBJECTIVE: To carry out genetic testing and clinical phenotypic characterization on a four-generation Chinese pedigree affected with Stickler syndrome type I and explore its genotype-phenotype correlation. METHODS: A child presented at the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine in February 2023 for micrognathia, glossoptosis and cleft palate and his family members were selected as the study subjects. Clinical data were collected from the affected members, and peripheral blood samples were obtained from 17 participants (including 4 patients and 13 asymptomatic individuals). Whole exome sequencing (WES) was carried out. Candidate variant was verified by Sanger sequencing. Genotype-phenotype correlation was analyzed by integrating the sequencing data with evidence from existing literature. This study has bee granted by the Ethics Committee of Guangdong Provincial Hospital of Traditional Chinese Medicine and Guangzhou Women and Children's Medical Center (Ethics No.: 2022-406B00). RESULTS: The four-generation pedigree has comprised 19 members. In addition to the proband, 5 affected individuals had manifested with high myopia, congenital cataracts, and progressive vision loss. Two deceased members reportedly exhibited similar ocular manifestations. Among the four living patients, two had developed retinal detachment, while two others presented with chronic joint pain onset between 35 ~ 40 years of age. One patient required hip replacement surgery at age 42 secondary to femoral head necrosis. The proband, the youngest affected member, exhibited characteristic phenotypes including congenital micrognathia and cleft palate, consistent with Pierre-Robin syndrome. Genetic analysis revealed a heterozygous nonsense mutation in COL2A1 (NM_001844.5: c.2668C>T; p.Gln890Ter) segregating with the disease in all four symptomatic patients. This variant was absent in asymptomatic family members and unaffected controls. While the mutation is listed in ClinVar, no clinical case report has associated it with this phenotypic spectrum. It was not recorded in population databases (gnomAD v4.1.0, 1000 Genomes Project, or ExAC), supporting its potential pathogenicity. CONCLUSION This study has diagnosed a four-generation Chinese pedigree with Stickler syndrome type I attributed to the pathogenic COL2A1 variant c.2668C>T (p.Gln890Ter), which is a rare nonsense mutation associated with ocular predominance and variable skeletal involvement. Notably, this family exhibited marked clinical heterogeneity despite sharing the identical genotype, which highlighted the challenges in phenotype-genotype correlation. The autosomal dominant transmission pattern observed in this pedigree has provided critical insights into COL2A1-related collagenopathies and underscored the necessity of ultrasonographic monitoring for ocular anomalies during prenatal diagnosis. Above findings have advanced our understanding of the pleiotropic effects in type Ⅱ collagen disorders and laid the foundation for precision-based genetic counseling, enabling targeted cascade screening and implementation of tertiary prevention strategies against congenital disabilities for high-risk families.
Adolescent ; Adult ; Child ; Child, Preschool ; Female ; Humans ; Male ; Middle Aged ; Arthritis/genetics* ; Collagen Type II/genetics* ; Connective Tissue Diseases/genetics* ; Exome Sequencing ; Genetic Association Studies ; Genotype ; Hearing Loss, Sensorineural/genetics* ; Mutation ; Pedigree ; Phenotype ; Retinal Detachment/genetics* ; East Asian People/genetics*

Liver transplantation (LT) has become a standard treatment for end-stage liver diseases, and graft injury is intricately associated with poor prognosis. Granzyme B (GZMB) plays a vital role in natural killer (NK) cell biology, but whether NK-derived GZMB affects graft injury remains elusive. Through the analysis of single-cell RNA-sequencing data obtained from human LT grafts and the isolation of lymphocytes from mouse livers following ischemia-reperfusion injury (IRI), we demonstrated that 2NK cells with high expression of GZMB are enriched in patients and mice. Both systemically and liver-targeted depletion of NK cells led to a notable reduction in GZMB⁺ cell infiltration, subsequently resulting in diminished graft injury. Notably, the reconstitution of Il2rg ^-/- Rag2 ^-/- mice with purified Gzmb-KO NK cells demonstrated superior outcomes compared to those with wild-type NK cells. Crucially, global knockout of GZMB and pharmacological inhibition exhibited remarkable improvements in liver function in both mouse IRI and rat LT models. Moreover, a phosphorylated derivative of FDA-approved vidarabine was identified as an effective inhibitor of mouse GZMB activity by molecular dynamics, which could provide a potential avenue for therapeutic intervention. Therefore, targeting NK cell-derived GZMB during the LT process suggests potential therapeutic strategies to improve post-transplant outcomes.

Bacillus velezensis DJ1 exhibits broad-spectrum antagonistic activity against diverse phytopathogenic fungi, while its biocontrol mechanisms against Fusarium graminearum, the causal agent of maize stalk rot, remain poorly characterized. In this study, we integrated genomics and transcriptomics to elucidate the antifungal mechanisms of strain DJ1. The results demonstrated that DJ1 inhibited F. graminearum with the efficacy of 64.4%, while its polyketide crude extract achieved the control efficacy of 55% in pot experiments against this disease. Whole-genome sequencing revealed a single circular chromosome (3 929 792 bp, GC content of 47%) harboring 12 biosynthetic gene clusters for secondary metabolites, six of which encoded known antimicrobial compounds (macrolactin H, bacillaene, difficidin, surfactin, fengycin, and bacilysin). Transcriptomic analysis identified 243 differentially expressed genes (152 upregulated and 91 downregulated, P < 0.05), which were potentially associated with the antagonistic activity against F. graminearum. KEGG enrichment analysis highlighted activation (P < 0.05) of cysteine/methionine metabolism, pentose phosphate pathway, and polyketide biosynthesis pathways, indicating that DJ1 employed synergistic strategies involving antimicrobial compound synthesis, energy metabolism enhancement, and nutrient competition to suppress pathogens. This study provides a theoretical foundation for developing novel microbial resources and application technologies to combat phytopathogenic fungi.
Fusarium/drug effects* ; Bacillus/metabolism* ; Plant Diseases/prevention & control* ; Antifungal Agents/pharmacology* ; Genomics ; Zea mays/microbiology* ; Transcriptome ; Gene Expression Profiling ; Antibiosis ; Multigene Family ; Multiomics

Objective:To discuss the effect of asiatic acid(AA)on the inflammation and oxidative stress damage induced by lipopolysaccharide(LPS)in the primary cultured hippocampus neurons,and to clarify its mechanism.Methods:The primary cultured rat hippocampus neurons(cell purity identified by immunofluorescence staining)were divided into control group,LPS(10 mg·L-1)group,and LPS+AA group(10 mg·L-1 LPS+10,20,and 40 μmol·L-1 AA),AA group(20 μmol·L-1 AA),ML385 group[10 μmol·L-1 nuclear factor erythroid 2-related factor(Nrf2)inhibitor],and LPS+ML385+AA group(10mg·L-1 LPS+10 μmol·L-1 ML385+20 μmol·L-1 AA).After drug treatment,methylthiazolyldiphenyl-tetrazolium bromide(MTT)method was used to detect the survival rates of the hippocampus neurons in various groups;lactate dehydrogenase(LDH)kit was used to detect the LDH leakage rates of the hippocampus neurons in various groups;enzyme linked immunosorbent assay(ELISA)kit was used to detect the expression levels of inflammatory factors[interleukin(IL)-1β and tumor necrosis factor(TNF)-α]and the activities of superoxide dismutase(SOD)and malondialdehyde(MDA)levels in the hippocampus neurons in various groups;Griess method was used to detect the nitric oxide(NO)levels in supernatant of the hippocampus neurons in various groups;immunofluorescence staining was used to detect the expressions of Nrf2 and heme oxygenase-1(HO-1)proteins in the hippocampus neurons in various groups;Western blotting method was used to detect the expression levels of Nrf2,HO-1,nuclear factor-kappa B(NF-κB),and B-cell lymphoma 2(Bcl-2)proteins in the hippocampus neurons in various groups.Results:Compared with control group,the survival rate of the hippocampus neurons,SOD activity,and Bcl-2 expression level in the cells in LPS group were significantly decreased(P＜0.01),while the LDH leakage rate,expression levels of IL-1β and TNF-α,MDA level,and NO level,as well as the expression level of NF-κB protein,were significantly increased(P＜0.01);the fluorescence intensities and expression levels of Nrf2 and HO-1 proteins in hippocampus neurons were significantly decreased(P＜0.01).Compared with LPS group,the survival rates of hippocampus neurons,SOD activities,and expression levels of Bcl-2 in the cells in LPS+10 μmol·L-1 AA group and 20 μmol·L-1 AA group were significantly increased(P＜0.01),while the LDH leakage rates,expression levels of IL-1β and TNF-α,MDA levels,and NO levels,as well as expression levels of NF-κB protein,were significantly decreased(P＜0.05 or P＜0.01),and the fluorescence intensities and protein expression levels of Nrf2 and HO-1 in the cells were significantly increased(P＜0.01).Compared with LPS+20 μmol·L-1 AA group,the fluorescence intensities of Nrf2 and HO-1 in the cells in LPS+ML385+AA group were significantly decreased(P＜0.01),and the expression levels of Nrf2 protein in the nucleus and cytoplasm,the expression levels of HO-1 and Bcl-2 proteins in the cells were significantly decreased(P＜0.01),while the expression level of NF-κB protein was significantly increased(P＜0.01).Conclusion:AA can improve LPS-induced inflammation and oxidative stress damage in the primary cultured rat hippocampus neurons,and its mechanism may be related to the activation of the Nrf2/HO-1 signaling pathway.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

Public health laboratory testing involves a wide range of sample types,complex matrices,diverse target analytes with varying concentrations,and multiple application contexts with different analytical requirements.As a critical step in public health laboratory analysis and testing,sample pretreatment plays a decisive role in ensuring the reproducibility and efficiency of the analytical methods.It directly affects the accuracy,sensitivity,and reliability of testing results,as well as the feasibility of downstream analyses.Traditional sample pretreatment techniques face persistent challenges,including low efficiency,limited throughput,restricted universal applicability,high organic solvent consumption,and poor compatibility with downstream analytical procedures.These limitations constrain their capacity to meet the evolving demands of research and practice in public health and preventive medicine.In recent years,technological advances have focused on improving efficiency and automation,enhancing selectivity and sensitivity,facilitating online testing capabilities,and promoting environmental sustainability.Sample pretreatment techniques in public health laboratory testing have been undergoing progressive upgrades,and numerous novel technologies have emerged.The paper provides a comprehensive review of new technologies and applications in the field.We focused on the development of new materials,the application of artificial intelligence,connections for online processing,and the approaches tailored to the demands of specific testing settings.We also discussed sample processing for omics analyses and mass spectrometry imaging methods relevant to public health laboratory testing.These advances are expected to support the development of greener and higher-throughput sample pretreatment and foster innovation in the public health laboratory testing system.

Objective To investigate the regulatory effects of liraglutide(Lira)on adipocyte brown-ing and its underlying molecular mechanisms.Methods Adipose-derived mesenchymal stem cells were induced to differentiate with palmitic acid(PA)simulating a high-fat environment and lenti-viral transfection to silence the expression of PGC1α.The cell groups included control,Lira(100 nmol/L),PA(200 nmol/L),PA+Lira,scrambled siRNA,scrambled siRNA+Lira,siRNA PGC1α,and siRNA PGC1α+Lira groups(n=3).After corresponding treatments were given,quantitative PCR and Western blotting were employed to detect the mRNA and protein expres-sion levels of UCP-1,Prdm16,Agt,and adiponectin,as well as AMPK and p-AMPK.Results Compared to the control group,the PA group had significantly increased expression of Agt and adiponectin but decreased UCP-1 and Prdm16 at protein and mRNA levels,and the Lira group showed obviously increased protein and mRNA levels of UCP-1 and Prdm16 but decreased Agt and adiponectin levels(P＜0.05).Addition of Lira treatment resulted in increments in UCP-1 and Prdm16 while declines Agt and adiponectin at both mRNA and protein levels when compared with the levels in the PA group(P＜0.05).In comparison to the scrambled siRNA group,the siRNA PGC1α group showed decreases in UCP-1 and Prdm16 expression,accompanied by increa-ses in Agt and adiponectin levels(P＜0.05),similar results were observed in the scrambled siRNA+Lira group(P＜0.05).The p-AMPK/AMPK ratio was significantly increased in the scrambled siRNA+Lira group(1.415±0.176 vs 0.837±0.049,P＜0.05),but decreased in the siRNA PGC1α group(0.534±0.035 vs 0.837±0.049,P＜0.01)when compared with the scram-bled siRNA group.Conclusion Lira promotes adipocyte browning and improves lipid metabolism disorders in a high-fat environment by activating the AMPK/PGC1α signaling pathway.