The etiology of nervous system diseases is complicated, posing significant harm to patients and often resulting in poor prognoses. In recent years, the role of dopaminergic system in nervous system diseases has attracted much attention, and its complex regulatory mechanism and therapeutic potential have been gradually revealed. This paper reviews the role of dopaminergic neurons, the neurotransmitter dopamine, dopamine receptors and dopamine transporters in neurological diseases (including Alzheimer's disease, Parkinson's disease and schizophrenia), with a view to further elucidating the disease mechanism and providing new insights and strategies for the treatment of neurological diseases.
Humans ; Dopamine/metabolism* ; Nervous System Diseases/physiopathology* ; Parkinson Disease/physiopathology* ; Receptors, Dopamine/metabolism* ; Dopaminergic Neurons/physiology* ; Dopamine Plasma Membrane Transport Proteins/metabolism* ; Alzheimer Disease/physiopathology* ; Schizophrenia/physiopathology* ; Animals

This study aimed to explore the pharmacological mechanism of Yourenji Capsules(YRJ) in improving osteoporosis by combining network pharmacology and proteomics technologies. The SD rats were randomly divided into a blank control group and a 700 mg·kg~(-1) YRJ group. The rats were subjected to gavage administration with the corresponding drugs, and the blank serum, drug-containing serum, and YRJ samples were compared using ultra performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS) to analyze the main components absorbed into blood. Network pharmacology analysis was conducted based on the YRJ components absorbed into blood to obtain related targets of the components and target genes involved in osteoporosis, and Venn diagrams were used to identify the intersection of drug action targets and disease targets. The STRING database was used for protein-protein interaction(PPI) network analysis of potential target proteins to construct a PPI network. Gene Ontology(GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment were performed using Enrichr to investigate the potential mechanism of action of YRJ. Ovariectomy(OVX) was performed to establish a rat model of osteoporosis, and the rats were divided into a sham group, a model group, and a 700 mg·kg~(-1) YRJ group. The rats were given the corresponding drugs by gavage. The femurs of the rats were subjected to label-free proteomics analysis to detect differentially expressed proteins, and GO functional enrichment and KEGG pathway enrichment analyses were performed on the differentially expressed proteins. With the help of network pharmacology and proteomics results, the mechanism by which YRJ improves osteoporosis was predicted. The analysis of the YRJ components absorbed into blood revealed 23 bioactive components of YRJ, and network pharmacology results indicated that key targets involved include tumor necrosis factor(TNF), tumor protein p53(TP53), protein kinase(AKT1), and matrix metalloproteinase 9(MMP9). These targets are mainly involved in osteoclast differentiation, estrogen signaling pathways, and nuclear factor-kappa B(NF-κB) signaling pathways. Additionally, the proteomics analysis highlighted important pathways such as peroxisome proliferator-activated receptor(PPAR) signaling pathways, mitogen-activated protein kinase(MAPK) signaling pathways, and β-alanine metabolism. The combined approaches of network pharmacology and proteomics have revealed that the mechanism by which YRJ improves osteoporosis may be closely related to the regulation of inflammation, osteoblast, and osteoclast metabolic pathways. The main pathways involved include the NF-κB signaling pathways, MAPK signaling pathways, and PPAR signaling pathways, among others.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Osteoporosis/metabolism* ; Proteomics ; Rats ; Rats, Sprague-Dawley ; Network Pharmacology ; Female ; Protein Interaction Maps/drug effects* ; Capsules ; Humans ; Signal Transduction/drug effects*

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

OBJECTIVE: To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk. METHODS: A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk. RESULTS: A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses. CONCLUSION The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/etiology* ; ABO Blood-Group System ; Adult ; Prospective Studies ; Risk Factors ; Young Adult

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective:To explore the changes of serum levels of angiopoictin-1(Angpt1)and endothelin-1(ET-1)in patients with newly-onset atrial fibrillation(AF)after heart valve replacement,and analyze their clinical sig-nificance.Methods:A total of 130 patients who underwent heart valve replacement in our hospital from January 2020 to March 2022 were divided into no AF group(n=72)and AF group(n=58)according to presence of AF within 7d after surgery.Serum levels of Angpt1 and ET-1 were detected by ELISA in two groups;the correlation between serum Angptl and ET-1 was analyzed by Pearson method in AF patients;ROC curve analysis was used to analyze the predictive value of serum Angpt1 and ET-1 levels for postoperative AF in these patients;Logistic re-gression was used to analyze the influencing factors of postoperative AF in these patients.Results:The left atrial diameter(LAD),proportion of NYHA class Ⅳ and cardiopulmonary bypass time in AF group were significantly higher than those of no AF group(P＜0.05 or＜0.01).One day after surgery,compared with no AF group,serum Angpt1 level significantly reduced and ET-1 level significantly increased in AF group(P＜0.001 both).Pearson correlation analysis indicated that serum Angpt1 level was significant inversely correlated with ET-1 level in AF pa-tients(r=-0.366,P=0.005).ROC analysis indicated that area under the curve(AUC)of combined detection of serum Angpt1 and ET-1 in predicting AF after heart valve replacement was significantly higher than those of each single detection(Z=2.761,1.998,P=0.006,0.046).Multivariate Logistic regression analysis indicated that LAD,NYHA class Ⅳ,cardiopulmonary bypass time and postoperative ET-1 were independent risk factors for postoperative AF in these patients(OR=1.471～1.739,P＜0.05 or＜0.01),while postoperative Angpt1 was its independent protective factor(OR=0.634,P=0.004).Conclusion:Serum Angpt1 level significantly reduces and ET-1 level significantly increases in patients with newly-onset AF after heart valve replacement.Combined detec-tion of Angpt1 and ET-1 levels possesses high predictive value for postoperative AF.

Objective To investigate the relationship between serum levels of E-cadherin and β-catenin and calcium phosphorus metabolism and carotid artery calcification in patients with diabetic nephropathy.Methods A total of 112 patients with diabetic nephropathy admitted to the hospital from May 2019 to No-vember 2022 were selected as the study group,and were divided into a carotid artery calcification group(n=44)and a non-carotid artery calcification group(n=68)according to the results of bilateral carotid artery col-or Doppler ultrasound.In addition,90 healthy people who underwent physical examination in the hospital dur-ing the same period were selected as the control group.Serum E-cadherin,β-catenin,calcium phosphorus me-tabolism levels were detected and compared.Pearson correlation analysis was used to explore the relationship between serum E-cadherin,β-catenin and calcium phosphorus metabolism in patients with diabetic nephropa-thy.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum E-cad-herin and β-catenin for carotid artery calcification in patients with diabetic nephropathy.Multivariate Logistic regression analysis was used to explore the influencing factors of carotid artery calcification in patients with di-abetic nephropathy.Results The levels of glycosylated hemoglobin,serum phosphorus,calcium-phosphorus product,parathyroid hormone(iPTH),creatinine,alkaline phosphatase and β-catenin in the study group were higher than those in the control group,and the level of E-cadherin was lower than that in the control group(P＜0.05).The levels of serum phosphorus,serum calcium,calcium phosphorus product,iPTH,creatinine,al-kaline phosphatase and β-catenin in the carotid artery calcification group were higher than those in the non-ca-rotid artery calcification group,and the level of E-cadherin was lower than that in the non-carotid artery calci-fication group(P＜0.05).Pearson correlation analysis showed that serum E-cadherin level in patients with di-abetic nephropathy was negatively correlated with serum phosphorus,serum calcium,calcium phosphorus product,iPTH,creatinine and alkaline phosphatase(r=-0.453,-0.654,-0.365,-0.490,-0.411,-0.377,all P＜0.001).The level of serum β-catenin was positively correlated with serum phosphorus,serum calcium,calcium phosphorus product,iPTH,creatinine,and alkaline phosphatase(r=0.444,0.345,0.421,0.398,0.651,0.622,all P＜0.001).ROC curve analysis showed that the area under the curve of serum E-cad-herin,β-catenin and their combination for predicting carotid artery calcification in diabetic nephropathy were 0.844(95％CI 0.795-0.894),0.853(95％CI 0.801-0.901)and 0.901(95％CI 0.801-0.901),respec-tively.Multivariate Logistic regression analysis showed that serum E-cadherin(OR=3.789,95％CI 2.055-6.983),β-catenin(OR=4.104,95％CI 1.795-9.385),calcium phosphorus product(OR=2.998,95％CI 1.895-4.743)and iPTH(OR=2.713,95％CI 1.787-4.118)were the influencing factors of carotid artery calcification in patients with diabetic nephropathy(P＜0.05).Conclusion The level of β-catenin is increased and the level of E-cadherin is decreased in patients with diabetic nephropathy.β-catenin and E-cadherin are closely related to calcium phosphorus metabolism and carotid artery calcification,which could be used as effec-tive indicators to evaluate carotid artery calcification in patients with diabetic nephropathy.The combination ofβ-catenin and E-cadherin has a higher predictive value for carotid artery calcification.

Objective To investigate the relationship between serum levels of growth differentiation factor-11(GDF-11)and S100 calcium binding protein A4(S100A4)and the severity and disease outcome in diabetic nephropathy(DN)patients.Methods A total of 95 DN patients admitted to the hospital from May 2021 to January 2023 were selected as the study group,and 110 healthy people were selected as the healthy group.The DN patients were divided into mild group(n=66)and severe group(n=29)according to the severity of the disease.The patients were followed up for half a year after discharge,and were divided into good prognosis group(n=64)and poor prognosis group(n=31)according to the prognosis.Serum GDF-11 and S100A4 lev-els were detected by enzyme-linked immunosorbent assay.Spearman rank correlation analysis was used to ex-plore the relationship between serum GDF-11,S100A4 levels and the severity of the disease.Receiver operat-ing characteristic(ROC)curve was used to evaluate the predictive value of serum GDF-11 and S100A4 for dis-ease outcome in DN patients,and multivariate Logistic regression was used to analyze the influencing factors of disease outcome in DN patients.Results The levels of serum GDF-11 and S100A4 in mild group and severe group were higher than those in healthy group,and those in severe group were higher than those in mild group(P＜0.05).Serum GDF-11 and S100A4 levels were positively correlated with the severity of DN patients(P＜0.05).The good prognosis group had significantly lower serum levels of GDF-11 and S100A4 than the poor prognosis group(P＜0.05).The area under the curve(AUC)of serum GDF-11 and S100A4 in predicting the outcome of DN patients was 0.785 and 0.839,respectively,and the AUC of combined prediction was 0.902.The proportion of type 2 diabetes(T2DM)duration,glomerular grade Ⅲ-Ⅳ,interstitial inflammation score 2,interstitial fibrosis and tubular atrophy(IFTA)score 2-3 points,estimate glomerular filtration rate＜60 mL/(min·1.73 m2)and the levels of total cholesterol,triglyceride,low-density lipoprotein choles-terol,24 h urinary protein,glycosylated hemoglobin,C-peptide,hematocrit,and erythrocyte sedimentation rate in the good prognosis group were higher than those in the good prognosis group(P＜0.05).Multivariate Lo-gistic regression analysis showed that the duration of T2DM ≥12.0 years,IFTA score ≥2 points,GDF-11≥700.82 ng/mL,S100A4 ≥ 211.53 ng/L were risk factors for poor prognosis in DN patients(P＜0.05).Conclusion The levels of serum S100A4 and GDF-11 are highly expressed in patients with diabetes mellitus,and are related to the severity and outcome of the disease,which are expected to be potential markers for eval-uating the condition and prognosis of diabetes mellitus.