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.

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

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 investigate the effect of local food-source enteral nutrition(EN) to improve the nutritional status of stroke patients.Methods:The clinical data of 180 patients with ischemic stroke admitted to the First People′s Hospital of Chengdu and the Second People′s Hospital of Chengdu during the period from June 2021 to June 2023 were selected retrospectively, patients in both groups received EN at 24 to 48 h after admission, and total energy intake was evaluated 7 d later, which was divided into the standard calorie group (90 cases) and the low- calorie group (90 cases) according to total energy intake. The total energy intake of patients in the standard calorie group increased to 125 -146 kJ/ (kg·d) after 7 d. Patients in the low-calorie group gradually increased to 105 kJ/ (kg·d) after 7 d. The changes in inflammatory factors and nutritional indexes before and after treatment were compared between the two groups, and the incidence of malnutrition and neurological function deficit before and after treatment were compared between the two groups.Results:After treatment, the levels of serum interleukin 1β, tumor necrosis factor-α, ultrasensitive C-reactive protein in the low-calorie group were lower than those in the standard calorie group: (16.74 ± 4.33) ng/L vs. (20.15 ± 5.68) ng/L, (25.58 ± 5.09)ng/L vs. (30.04 ± 6.46) ng/L, (12.41 ± 3.29) mg/L vs.(15.24 ± 4.18) mg/L, there were statistical differences ( P<0.05); the levels of serum total protein, albumin, transferrin were higher than those in the standard calorie group: (66.42 ± 8.32) g/L vs. (60.58 ± 8.32) g/L, (46.32 ± 6.39) g/L vs. (41.42 ± 5.34) g/L, (3.44 ± 0.65) g/L vs. (3.12 ± 0.31) g/L, there were statistical differences ( P<0.05). The incidence of malnutrition in the low-calorie group was lower than that in the standard calorie group: 3.33%(3/90) vs. 12.22%(11/90), there was statistical difference ( χ2 = 9.05, P<0.05). After 1 month and 3 months of treatment, the scores of National Institute of Health stroke scale (NIHSS) scores in the low-calorie group were lower than that in the standard calorie group: (15.76 ± 3.54) scores vs. (22.34 ± 6.24) scores, (8.65 ± 2.74) scores vs. (11.76 ± 4.83) scores, there were statistical differences ( P<0.05). Conclusions:Early local food-borne EN can improve the nutritional status of stroke patients, reduce the expression of inflammatory factors, and facilitate the improvement of neurological damage.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

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*

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.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

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.