OBJECTIVE: It has been reported that the mRNA expression of serine protease 23 (PRSS23) was increased in skin fibroblasts from systemic sclerosis patients (SSc). The purpose of this study is to explore the pathogenetic effect and mechanism of PRSS23 in skin fibrosis of SSc. METHODS: The expression of PRSS23 in skin tissues from the SSc patients and healthy controls was detected by immunohisto-chemistry. Fibroblasts isolated from fresh skin tissue were used to detect the expression of PRSS23 by real-time quantitative PCR (RT-qPCR) and Western blot. Overexprssion of PRSS23 in BJ, the fibroblasts cell line of skin, was constructed by lentivirus. After stimulation with 400 μmol/L hydrogen peroxide for 12 h, Annexin V/7-AAD staining was used to detect apoptosis of fibroblasts; flow cytometry and Western blot were used to detect the expression of apoptosis-related protein cleaved Caspase-3. The expression of interleukin 6 (IL-6) and tumor necrosis factor alpha (TNF-α) in fibroblasts was detected by RT-qPCR and enzyme linked immunosorbent assay (ELISA). RESULTS: Compared with the healthy controls, the expression of PRSS23 in skin tissues of the SSc patients was significantly increased [4.952 (3.806-5.439) vs. 0.806 (0.395-1.173), P < 0.001], and fibroblast was the main cell that expressed PRSS23. The mRNA [27.59 (25.02-30.00) vs. 1.00, P < 0.001] and protein [0.675 (0.587-0.837) vs. 0.451 (0.342-0.502), P=0.029] of PRSS23 in skin fibroblasts isolated from the SSc patients were significantly up-regulated. Compared with the control group, the anti-apoptotic ability of skin fibroblasts overexpressing PRSS23 was enhanced, and the proportion of apoptotic cells was significantly reduced after hydrogen peroxide induction [(5.043±1.097)% vs. (17.480±3.212)%, P=0.022], the expression of apoptosis-related protein cleaved Caspase-3 was also markedly reduced [(0.718±0.022) vs. (1.422±0.105), P=0.003]. In addition, the mRNA [(99.780±1.796) vs. (1.000±0.004), P < 0.001] and protein [(211.600±2.431) ng/L vs. (65.930±1.768) ng/L, P < 0.001] of IL-6 in the fibroblasts overexpressing PRSS23 were significantly up-regulated; the mRNA[(3.555±0.555) vs. (1.000±0.004), P < 0.001] and protein levels [(41.190±0.949) ng/L vs. (31.150±0.360) ng/L, P < 0.001] of TNF-α in the fibroblasts overexpressing PRSS23 were also significantly up-regulated. CONCLUSION The expression of PRSS23 is increased in skin fibroblasts of SSc patients. PRSS23 can inhibit cell apoptosis, promote the secretion of inflammatory factors such as IL-6 and TNF-α, and regulate the process that skin fibroblasts transform into pro-inflammatory type. So, PRSS23 is associated with the development of skin fibrosis.
Humans ; Scleroderma, Systemic/enzymology* ; Fibroblasts/pathology* ; Apoptosis ; Skin/metabolism* ; Fibrosis ; Interleukin-6/metabolism* ; Caspase 3/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Male ; Female ; Cells, Cultured ; RNA, Messenger/metabolism* ; Middle Aged ; Adult ; Serine Endopeptidases/genetics*

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

Tic disorder (TD) is a type of neuropsychiatric disorders, which starts in childhood and is characterized by tics.Its clinical manifestations are varied and occasionally accompanied by a variety of comorbidities.Health education can achieve the purpose of preventing diseases and improving the quality of life.For neuropsychiatric disorders such as TD, health education can not only promote the rehabilitation of patients but also help them return to society.This paper briefly describes the methods and strategies of health education for TD children, to improve the social awareness of the disease, guide the family members, teachers, classmates and partners of TD children to get along with them, and establish confidence for TD children to overcome the disease.

Food addiction refers to the individual dependence on certain specific foods (high-calorie foods) to the extent that it becomes difficult to control and manifests a series of addictive-like behavioral changes. Food addiction is an important factor in the development of human obesity and is also a core factor that most people cannot maintain weight loss or adhere to restrictive diets to maintain a healthy weight. A deeper understanding of food addiction and its neurobiological mechanisms will provide accurate targets for intervening in food addiction to improve obesity. Food addiction is characterized by compulsive, chronic and repetitive nature. The Yale Food Addiction Scale (YFAS), a scale specifically designed to assess food addiction, was developed in 2009 by modeling all the DSM-IV for substance dependence to be applicable to eating behavior. In 2016, Gearhardt developed the Yale Food Addiction Scale 2.0, which contains 35 survey questions, to align the YFAS scale with the diagnostic criteria for addictive disorders in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders. One of the most valid and used animal models for food addiction is the mouse food self-administration model. The mouse food self-administration model was modified according to the rat cocaine addiction model, and the food addiction status of the animals was evaluated based on three behaviors: persistence of feeding response, feeding motivation, and compulsive feeding. Studies have shown that the neural circuits of the lateral hypothalamus-ventral tegmental area-nucleus accumbens and ventral tegmental area-prelimbic-nucleus accumbens are key neurobiological mechanisms that regulate food addiction. Dopaminergic neurons in the ventral tegmental area project to the nucleus accumbens (NAc) to facilitate food reinforcement, food reward, and food addiction. The corticotropin-releasing factor (CRF) secreted by the hypothalamus may mediate chronic stress-induced VTA-nucleus accumbens reward system dysfunction and promote food addiction in mice. Meanwhile, the nucleus accumbens receives glutamatergic projections from the prelimbic cortex, an integral part of the reward system. Specific inhibition of the PL-NAc neural circuit develops a food addiction-susceptible phenotype in mice. Furthermore, dopaminergic projections from the ventral tegmental area to the prelimbic cortex specifically inhibited the PL-NAc neural circuit to promote a food-addicted phenotype in mice. Additionally, neurotensin-positive neurons in the lateral septum (LS^Nts) project to the tuberal nucleus (TU) via GABA signaling to suppress hedonic feeding.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.