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1.
J Cardiothorac Surg ; 18(1): 70, 2023 Feb 10.
Artigo em Inglês | MEDLINE | ID: mdl-36765357

RESUMO

OBJECTIVE: We aimed to estimate the prevalence of CRFs and investigate its associated social-economic factors among adults in coastal areas of Qinzhou, Guangxi. METHODS: A representative sample of 1836 participants aged 20 to 70 years was included in Qinzhou, Guangxi in 2020. Data were collected by the questionnaire, anthropometric and laboratory measurements. The prevalence of CRFs, including hypertension, dyslipidemia, diabetes, overweight or obesity, alcohol consumption, and smoking were calculated by standardization. The multivariate logistic regression analysis was performed to explore the independent factors associated with the presence of CRFs. RESULTS: The age-standardized prevalence of hypertension, dyslipidemia, diabetes, overweight or obesity alcohol consumption, and smoking was 42.7%, 39.5%, 0.9%, 38.5%, 18.4% and 15.7%, respectively. The prevalence of clustering of at least one and at least two cardiovascular disease risk factors were 82.2% and 45.3% in total. There were differences in the aggregation of cardiovascular risk factors among different age, education, and income levels. There appeared higher clustering of at least one and at least two CRFs among adults with lower education level, higher income level and those elderly. CONCLUSIONS: Compared with other regions in China, a higher prevalence of CRFs exists among adults in Guangxi and several social-economic factors were associated with the presence of CRFs. These findings suggest that we should implement effective measures to control the CRFs, to reduce the risk of cardiovascular disease in adults.


Assuntos
Doenças Cardiovasculares , Diabetes Mellitus , Dislipidemias , Hipertensão , Adulto , Idoso , Humanos , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etiologia , China/epidemiologia , Fatores de Risco , Sobrepeso/complicações , Prevalência , Estudos Transversais , Hipertensão/complicações , Obesidade/epidemiologia , Obesidade/complicações , Análise por Conglomerados , Diabetes Mellitus/epidemiologia , Fatores de Risco de Doenças Cardíacas , Dislipidemias/complicações
2.
J Proteomics ; 287: 104977, 2023 09 15.
Artigo em Inglês | MEDLINE | ID: mdl-37482272

RESUMO

Primary Sjogren's Syndrome (pSS) is a chronic autoimmune disease, with unclear pathogenies. Lysine-malonylation (Kmal) as a novel post-translational modification (PTMs) was found associated with metabolic, immune, and inflammatory processes. For purpose of investigating the proteomic profile and functions of kmal in pSS, liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based analysis and bioinformatics analysis are performed based on twenty-eight pSS patients versus twenty-seven healthy controls (HCs). A total of 331 down-regulated proteins and 289 up-regulated proteins are observed in differentially expressed proteins (DEPs) of pSS. We discover the expression of transforming growth factor beta-1 (TGFB1) and CD40 ligand downregulate which enriches in the inflammatory associated pathway. Expression of signal transducer and activator of transcription 1-alpha/beta (STAT1) show upregulation and enrich in type I interferon signaling pathway and IL-27-mediated signaling pathway. In differentially malonylated proteins (DMPs) of pSS, we identify 3 proteins are down-regulated in 7 sites and 18 proteins are up-regulated in 19 sites. Expression of malonylated integrin-linked kinase (ILK) significantly enrich in the focal adhesion pathway. Together, our data provide evidence that downregulation of TGFB1 and CD40LG play a critical role in the inflammatory process of pSS, while upregulation of STAT1 may be associated with IL-27 immunity and pSS immune dysfunction. Moreover, kmal modification at the kinase domain of ILK may destabilize ILK that thus contributing to pSS pathogenies by regulating the focal adhesion pathway. SIGNIFICANCE: Our research offered the first characterization of Kmal, a newly identified form of lysine acylation in pSS, as well as proteomic data on individuals with pSS. In this study, we found that several key DMPs were associated with focal adhesion pathway, which contributes to the development of pSS. The present results provide an informative dataset for the future exploration of Kmal in pSS.


Assuntos
Interleucina-27 , Síndrome de Sjogren , Humanos , Síndrome de Sjogren/metabolismo , Lisina/metabolismo , Cromatografia Líquida , Proteômica/métodos , Espectrometria de Massas em Tandem
3.
FEBS Open Bio ; 7(8): 1111-1125, 2017 08.
Artigo em Inglês | MEDLINE | ID: mdl-28781952

RESUMO

SMYD3 is a member of the SET and myeloid-Nervy-DEAF-1 (MYND) domain-containing protein family of methyltransferases, which are known to play critical roles in carcinogenesis. Expression of SMYD3 is elevated in various cancers, including esophageal squamous cell carcinoma (ESCC), and is correlated with the survival time of patients with ESCC. Here, we dissect gene expression data, from a previously described KYSE150 ESCC cell line in which SMYD3 had been knocked down, by integration with the protein-protein interaction (PPI) network, to find the new potential biological roles of SMYD3 and subsequent target genes. By construction of a specific PPI network, differentially expressed genes (DEGs), following SMYD3 knockdown, were identified as interacting with thousands of neighboring proteins. Enrichment analyses from the DAVID Functional Annotation Chart found significant Gene Ontology (GO) terms associated with transcription activities, which were closely related to SMYD3 function. For example, YAP1 and GATA3 might be a target gene for SMYD3 to regulate transcription. Enrichment annotation of the total DEG PPI network by GO 'Biological Process' generated a connected functional map and found 532 significant terms, including known and potential biological roles of SMYD3 protein, such as expression regulation, signal transduction, cell cycle, cell metastasis, and invasion. Subcellular localization analyses found that DEGs and their interacting proteins were distributed in multiple layers, which might reflect the intricate biological processes at the spatial level. Our analysis of the PPI network has provided important clues for future detection of the biological roles and mechanisms, as well as the target genes of SMYD3.

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