Objective To investigate the depressive state of patients with Parkinson's disease (PD), and to analyze the correlation of depressive state with autonomic dysfunction. Methods A total of 327 patients with PD in the hospital were selected from March 2022 to March 2024. The depressive state was evaluated by Hamilton Depression Scale (HAMD). The autonomic nerve function was assessed using the Scale for Outcomes in PD for Autonomic Symptoms (SCOPA-AUT) and heart rate variability [standard deviation of sinus RR interval (SDNN), standard deviation of average sinus RR interval (SDANN), and percentage of successive NN interval differences above 50 ms (pNN50)]. According to the positive depression (HAMD>20 points), the patients were divided into a depression group and a non-depression group. The clinical data and autonomic nerve function indicators were compared between the two groups. Pearson correlation coefficient analysis was performed to analyze the correlation between depressive state and autonomic dysfunction in PD patients. Results The positive rate of depression in patients with PD was 31.19%. There were 102 patients in the depression group and 225 patients in the non-depression group. The years of education and the proportion of mild Hoehn-Yahr stage (H-Y stage) in the depression group were lower than those in the non-depression group, while the disease course was longer, and the Unified Parkinson's Disease Rating Scale (UPDRS) II score and UPDRS III score were higher than those in the non-depression group (P<0.05). The SCOPA-AUT score in the depression group was higher while the SDNN, SDANN and pNN50 were lower compared to the non-depression group (P<0.05). HAMD score was positively correlated with SCOPA-AUT score (r=0.685), and was negatively correlated with SDNN, SDANN and pNN50 (r=-0.578, -0.685, and -0.439) (P<0.05). Conclusion Depression is a common state among patients with PD, and its level is positively correlated with the severity of autonomic dysfunction in patients.

Objective To investigate the role and potential mechanism of glutathione peroxidase 3 (GPX3) in ischemia-reperfusion injury (IRI) during kidney transplantation. Methods C57BL/6 mice were divided into four groups according to different interventions: sham operation group (Sham group), kidney transplantation group (KT group), kidney transplantation + GPX3 overexpression group (KT+GPX3 group) and kidney transplantation + GPX3 overexpression + reactive oxygen species (ROS) agonist group (KT+GPX3+CADD522 group). Twenty-four hours after model establishment, inferior vena cava blood was collected to detect blood urea nitrogen (BUN) and serum creatinine (Scr). Left renal tissues were harvested for immunofluorescence staining to detect ROS and NADPH oxidase 2 (NOX2). Enzyme-linked immunosorbent assay (ELISA) was performed to measure neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), tumor necrosis factor (TNF) -α and interleukin (IL)-1β. Western blotting was used to detect myeloperoxidase (MPO) and citrullinated histone H3 (CitH3). Results Compared with the Sham group, the expression level of GPX3 was decreased in the KT group; compared with the KT group, GPX3 expression was increased in the KT+GPX3 group; compared with the KT+GPX3 group, GPX3 expression was reduced in the KT+GPX3+CADD522 group (all P<0.05). Compared with the Sham group, the levels of Scr, BUN, NGAL and KIM-1 were elevated in the KT group; compared with the KT group, the above indicators were decreased in the KT+GPX3 group; compared with the KT+GPX3 group, the levels of Scr, BUN, NGAL and KIM-1 were increased in the KT+GPX3+CADD522 group (all P<0.05). Compared with the Sham group, the expression levels of NOX2 and ROS were increased in the KT group; compared with the KT group, NOX2 and ROS levels were decreased in the KT+GPX3 group; compared with the KT+GPX3 group, NOX2 and ROS levels were upregulated in the KT+GPX3+CADD522 group (all P<0.05). Compared with the Sham group, the expression levels of MPO and CitH3 were increased in the KT group; compared with the KT group, MPO and CitH3 levels were decreased in the KT+GPX3 group; compared with the KT+GPX3 group, MPO and CitH3 levels were increased in the KT+GPX3+CADD522 group (all P<0.05). Compared with the Sham group, the expression levels of TNF-α and IL-1β were increased in the KT group; compared with the KT group, TNF-α and IL-1β levels were decreased in the KT+GPX3 group; compared with the KT+GPX3 group, TNF-α and IL-1β levels were increased in the KT+GPX3+CADD522 group (all P<0.05). Conclusions GPX3 may alleviate renal tissue inflammation by inhibiting ROS-mediated neutrophil extracellular trap (NET) formation, thereby attenuating IRI in renal transplantation.

ObjectiveTo systematically summarize the relevant pathophysiology underlying muscle fatigue in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). MethodsDatabases including PubMed, Web of Science Core Collection, Embase, Cochrane Library, EBSCO (CINAHL), CNKI, Wanfang Data and VIP Database were searched from their inception to July, 2025 for basic and clinical studies related to ME/CFS. Multidimensional evidence involving mitochondrial, neuromuscular junction dysfunction, autonomic dysregulation and immune-inflammatory responses was integrated. The role of muscles in the central-immune-metabolic-neural regulatory network and its association with clinical phenotypes were evaluated. ResultsPatients with ME/CFS commonly presented with impaired mitochondrial energy supply, oxidative stress, ion homeostasis disorders, reduced stability of neuromuscular junction transmission, insufficient central drive and postural intolerance. These abnormalities resulted in a predisposition to cross the anaerobic threshold and trigger post-exertional malaise. ConclusionMuscle pathophysiology plays a critical role in the pathogenesis and symptom persistence of ME/CFS. Rehabilitation practice should prioritize safety boundaries to avoid post-exertional malaise.

Objective To explore the potential functional targets of ischemia-reperfusion injury (IRI) in renal allografts derived from different donor sources. Methods Based on the transcriptome sequencing dataset GSE43974 of kidney transplantation IRI from different donor sources, weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were performed to screen Hub genes and characterize their expression profiles. A nomogram model was established to evaluate the diagnostic efficacy of these Hub genes, which was further validated using the dataset GSE30718. Immune infiltration analysis was conducted to clarify the correlations between Hub genes and immune cell infiltration. A mouse kidney transplantation IRI model was adopted to verify the expression levels of Hub genes in vivo. Results A total of five Hub genes were finally identified, namely PPP1CC, GART, BIRC6, PMSD11 and TMEM192. Nomogram analysis confirmed that these Hub genes possessed favorable diagnostic performance for kidney transplantation IRI in kidneys from different donors. Immune infiltration analysis revealed distinct infiltration patterns of various immune cells in IRI kidneys from different donors, and Hub genes were closely correlated with the regulation of multiple immune cell infiltration. A total of 390 differentially expressed genes were screened between renal tissues of mice in the kidney transplantation group and sham operation group. Gene Ontology (GO) enrichment analysis indicated that these differentially expressed genes were mainly enriched in biological processes including oxidative stress, inflammation and pyroptosis. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed significant enrichment in glutathione metabolism, neutrophil extracellular trap formation and other signaling pathways. Transcriptome sequencing verified that the expression levels of the five Hub genes were significantly different between the two groups (all P < 0.05). Conclusions Five Hub genes are identified in kidney transplantation IRI using donor kidneys from different sources. Glutathione metabolism and neutrophil extracellular trap formation may participate in the pathogenesis of kidney transplantation IRI.

Objective:To investigate the value of 24 h urinary aldosterone(24 h-UAC) measurement by liquid chromatography-tandem mass spectrometry(LC-MS/MS) in the subtype classification of primary aldosteronism(PA).Methods:A total of 86 patients with PA, including 51 with unilateral primary aldosteronism(UPA) and 35 with bilateral primary aldosteronism(BPA), were enrolled in the Department of Endocrinology and Metabolism at West China Hospital between January 2018 and December 2022. Plasma aldosterone concentration(PAC), plasma renin concentration(PRC) and 24 h-UAC were measured by LC-MS/MS. 24-hour urinary electrolytes and 24-hour urinary creatinine(24 h-UCR) were also measured. The diagnostic value of 24 h-UAC in PA subtype classification was evaluated using receiver operating characteristic(ROC) curve analysis. Multivariate logistic regression analysis was conducted with PA subtypes as the dependent variable(UPA=1, BPA=0) to establish a diagnostic model for differentiating unilateral from bilateral lesions, and its performance was compared with published Chinese classification models. Results:There were no statistical differences between the UPA and BPA groups in terms of age, gender, BMI, systolic and diastolic blood pressure, 24 h urinary potassium, sodium, chloride, 24 h-UCR and PRC( P<0.05). The lowest plasma potassium level was significantly lower in the UPA group than in the BPA group, while PAC, 24 h-UAC, aldosterone-renin ratio(ARR), and 24 h-UAC/UCR were significantly higher( P<0.05). The detection rate of typical adenomas on imaging also showed a significant difference between the two groups( P<0.05). The area under the ROC curve(AUC) of 24 h-UAC for differentiating UPA from BPA was 0.829(95% CI 0.733-0.902), with an optimal cut-off value of 15.4 μg/24 h, yielding a sensitivity of 68.63% and a specificity of 88.57%( P<0.001). At a cut-off value of 24.5 μg/24 h, specificity reached 100%, with a sensitivity of 27.45%. Multivariate analysis indicated that a combined model incorporating 24 h-UAC, the lowest plasma potassium level, and imaging findings of typical adenomas significantly improved diagnostic accuracy for PA subtyping, achieving a specificity of 91.43%. Compared with the existing Chinese modified Küpers scoring model and CONPASS prediction model, this model demonstrated higher diagnostic efficiency, a lower missed diagnosis rate, and a misdiagnosis rate intermediate between the two. Conclusion:The 24 h-UAC in UPA patients is significantly higher than in BPA patients, making it a valuable marker for PA subtype classification. A predictive model combining 24 h-UAC, the lowest plasma potassium level, and imaging evidence of typical adenomas demonstrated high diagnostic accuracy for PA subtype classification and may provide valuable guidance for clinical decision-making.

Objective·To explore the metabolic profiling and metabolic reprogramming patterns of lung cancer cells with acquired resistance to sotorasib,a specific inhibitor to KRAS.Methods·The H2122 and H358 lung cancer cell models with acquired resistance to sotorasib(H2122-SR and H358-SR cells)were established and validated by CCK-8 assay.Ultra-performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UPLC-QTOF/MS)was employed to acquire the metabolic profiling of the resistant lung cancer cells and their homologous parental cells.Untargeted metabolomics studies and metabolic characterizations were conducted with multi-dimensional methods,including principal component analysis(PCA)and partial least squares-discriminant analysis(PLS-DA),to identify differential metabolites associated with acquired resistance to sotorasib.Then these differential metabolites were subjected to pathway enrichment analysis.Heatmap analysis was used to compare the changes in metabolites in major differential metabolic pathways between the resistant and parental cells.Results·The cell models of H2122 and H358 with acquired resistance were successfully constructed,with half-maximal inhibitory concentrations(IC50)of sotorasib being 50 times higher than those of the parental cells.Besides,the metabolic profiling was significantly different between the resistant and parental cells.A total of 48 differential metabolites were identified between H2122-SR and H2122 cells.The top 10 differential metabolites,ranked by VIP values,were uridine,xanthylic acid,indole-3-carboxylic acid,nicotinic acid,xanthosine,xanthine,N-methylnicotinamide,hypoxanthine,trigonelline,and galactonic acid.Between H358-SR and H358 cells,a total of 79 differential metabolites were identified.The top 10 differential metabolites,ranked by VIP values,were glutathione,xanthosine,2-ketoglutaric acid,carboxyethyl lysine,thymidine,purine,riboflavin,3-indoleacrylic acid,indole-3-pyruvic acid,and dihydrouracil.The differential metabolites in the two lung cancer cell lines mainly participated in purine metabolism and glycolysis/gluconeogenesis,and purine metabolism was the most significantly altered metabolic pathway.Heatmap analysis showed that many metabolites in the purine metabolism were elevated in the sotorasib-resistant cells.Conclusion·The lung cancer cells with acquired resistance to sotorasib show enhanced purine metabolism.

Parkinson's disease(PD)is a common progressive neurodegenerative disease mainly affecting the motor system.Various genetic factors and cellular mechanisms underlying PD have recently been discovered.Emerging evidence suggests that epigenetic modifications play a very important role in the pathogenesis,prevention,and treatment of PD.Epigenetic modification mediates genetic and environmental interactions mainly through complex interactions of DNA methylation,histone modification,and non-coding RNA,thereby affecting expression in the absence of changes in DNA sequence.In this review,we summarize the epigenetic modification mechanisms involved in the pathogenesis of Parkinson's disease.In this review,we summarize the epigenetic modification mechanisms involved in the pathogenesis of Parkinson's disease.Recent studies have found that traditional Chinese medicine can participate in the regulation of abnormal epigenetic modifications in the treatment of PD.Traditional Chinese medicine benefits from its multi-level and multi-target regulatory effects,and various traditional Chinese medicine monomers,compound prescriptions,and techniques have been evaluated,confirming that this is a promising approach for improving symptoms in PD.This review summarizes the mechanisms by which epigenetic modifications contribute to P D,explores the role of traditional Chinese medicine,and provides new ideas for clinical treatment and drug development in PD through epigenetic intervention.

Traditional Chinese medicine formula (TCMF) represents a fundamental component of Chinese medical practice, incorporating medical knowledge and practices from both Han Chinese and various ethnic minorities, while providing comprehensive insights into health and disease. The foundation of TCMF lies in its holistic approach, manifested through herbal compatibility theory, which has emerged from extensive clinical experience and evolved into a highly refined knowledge system. Within this framework, Chinese herbal medicines exhibit intricated characteristics, including multi-component interactions, diverse target sites, and varied biological pathways. These complexities pose significant challenges for understanding their molecular mechanisms. Contemporary advances in artificial intelligence (AI) are reshaping research in traditional Chinese medicine (TCM), offering immense potential to transform our understanding of the molecular mechanisms underlying TCMFs. This review explores the application of AI in uncovering these mechanisms, highlighting its role in compound absorption, distribution, metabolism, and excretion (ADME) prediction, molecular target identification, compound and target synergy recognition, pharmacological mechanisms exploration, and herbal formula optimization. Furthermore, the review discusses the challenges and opportunities in AI-assisted research on TCMF molecular mechanisms, promoting the modernization and globalization of TCM.
Artificial Intelligence ; Drugs, Chinese Herbal/pharmacokinetics* ; Humans ; Medicine, Chinese Traditional ; Animals

OBJECTIVES: This study aims to explore the current status and risk factors of oral health-related quality of life OHRQoL in patients with mental disorders and provide evidence for effective intervention measures. METHODS: A total of 397 patients diagnosed with mental illness were selected by convenience sampling, and investigation was carried out using general data questionnaire, health literacy in dentistry-14 (HeLD-14), oral health impact profile-14 (OHIP-14), and oral health status checklist. RESULTS: The total score of OHIP-14 in patients with mental disorders was 8(2, 14). The score of HeLD-14 was negatively correlated with the score of OHIP-14 (r=-0.142, P<0.01). The results of multiple linear regression showed that six variables including annual family income, schizophrenia, sweets, frequency of visits to the dentist, dental caries, and missing teeth affected OHRQoL of patients with mental disorders (P<0.05). CONCLUSIONS The poor OHRQoL of psychiatric patients is associated with many factors. Medical personnel should pay attention to their oral health problems and develop targeted oral care programs throughout the course of disease to improve oral health and related quality of life of patients.
Humans ; Quality of Life ; Oral Health ; Mental Disorders ; Risk Factors ; Surveys and Questionnaires ; Male ; Female ; Dental Caries ; Adult ; Middle Aged ; Schizophrenia

Beta-amylases (BAMs), key enzymes in starch hydrolysis, play an important role in plant growth, development, and resistance to abiotic stress. To mine the saline-alkali tolerance-related BAM genes in alfalfa (Medicago sativa L.), we identified MsBAM genes in the whole genome. The physicochemical properties, phylogeny, gene structures, conserved motifs, secondary structures, promoter cis-acting elements, chromosome localization, and gene replication relationships of BAM gene family members were analyzed. RNA-seq and quantitative real-time PCR (qRT-PCR) were employed to analyze the expression patterns of BAM family members under saline-alkali stress. The results showed that 54 BAM genes were identified in the genome, which were classified into 8 subgroups according to the phylogenetic tree. The members of the same subgroup had similar gene structures except that those of subgroups 1 and 7 had large differences. Conserved motif analysis showed that all MsBAM proteins had a typical glycohydrolysis domain. The chromosome localization analysis showed that MsBAM gene family members were unevenly distributed on 27 chromosomes. The duplication of gene segments led to the increase in BAM gene number in alfalfa. The promoters of BAM genes contained a large number of elements in response to plant hormones and stress. Transcriptome data and qRT-PCR results showed that the expression levels of most MsBAM genes were up-regulated in response to saline-alkali stress. Under the saline-alkali stress, the expression levels of 28 genes, including MsBAM6, were up-regulated on days 1 and 7, and those of 5 genes, including MsBAM9, were up-regulated by over 2 folds. In addition, under salt-alkali stress, BAM activity and soluble sugar content were significantly increased. These results indicate that BAM genes play a key role in alfalfa in response to saline-alkali stress, laying a foundation for further research in this field.
Medicago sativa/physiology* ; beta-Amylase/metabolism* ; Phylogeny ; Gene Expression Regulation, Plant ; Stress, Physiological/genetics* ; Multigene Family ; Alkalies ; Plant Proteins/genetics*