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1.
Front Psychiatry ; 13: 876995, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35573334

RESUMO

Background: The 2019 novel coronavirus (COVID-19)-related depression symptoms of healthcare workers have received worldwide recognition. Although many studies identified risk exposures associated with depression symptoms among healthcare workers, few have focused on a predictive model using machine learning methods. As a society, governments, and organizations are concerned about the need for immediate interventions and alert systems for healthcare workers who are mentally at-risk. This study aims to develop and validate machine learning-based models for predicting depression symptoms using survey data collected during the COVID-19 outbreak in China. Method: Surveys were conducted of 2,574 healthcare workers in hospitals designated to care for COVID-19 patients between 20 January and 11 February 2020. The patient health questionnaire (PHQ)-9 was used to measure the depression symptoms and quantify the severity, a score of ≥5 on the PHQ-9 represented depression symptoms positive, respectively. Four machine learning approaches were trained (75% of data) and tested (25% of data). Cross-validation with 100 repetitions was applied to the training dataset for hyperparameter tuning. Finally, all models were compared to evaluate their predictive performances and screening utility: decision tree, logistics regression with least absolute shrinkage and selection operator (LASSO), random forest, and gradient-boosting tree. Results: Important risk predictors identified and ranked by the machine learning models were highly consistent: self-perceived health status factors always occupied the top five most important predictors, followed by worried about infection, working on the frontline, a very high level of uncertainty, having received any form of psychological support material and having COVID-19-like symptoms. The area under the curve [95% CI] of machine learning models were as follows: LASSO model, 0.824 [0.792-0.856]; random forest, 0.828 [0.797-0.859]; gradient-boosting tree, 0.829 [0.798-0.861]; and decision tree, 0.785 [0.752-0.819]. The calibration plot indicated that the LASSO model, random forest, and gradient-boosting tree fit the data well. Decision curve analysis showed that all models obtained net benefits for predicting depression symptoms. Conclusions: This study shows that machine learning prediction models are suitable for making predictions about mentally at-risk healthcare workers predictions in a public health emergency setting. The application of multidimensional machine learning models could support hospitals' and healthcare workers' decision-making on possible psychological interventions and proper mental health management.

4.
J Nurs Manag ; 2022 May 04.
Artigo em Inglês | MEDLINE | ID: mdl-35509174

RESUMO

AIM: To investigate eHealth literacy about COVID-19 among older adults during the pandemic. BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic promoted the development of online healthcare. Higher demand for accessing information from the Internet was seen. METHODS: This was a sequential explanatory mixed-method study, involving a survey of older adults to explore the status and influencing factors of eHealth literacy regarding COVID-19. Semi-structured interviews were used understand experiences and challenges regarding information retrieval, judgment and utilization. RESULTS: A total of 337 older adults participated in the online questionnaire survey. Overall, older adults had slightly higher scores on eHealth literacy during the COVID-19 pandemic. Participants' location in the past month and current health issues were associated with eHealth literacy. Qualitative data were collected from nine older adults and included that some older adults retrieved health-related information during the pandemic. However, those who used non-smartphones described difficulties in information retrieval. A glut of misinformation has resulted in an "infodemic" which has not only increased the difficulty of judging information, but also posed challenges in information utilization for older adults. CONCLUSION: Improving older adults' eHealth literacy is essential in promoting an improved response to major public health events and in providing better healthcare for this group in the future. It is essential that government health agencies and healthcare providers to provide evidence-based health information via social media platforms. Further efforts are needed to combine aspects of traditional and online healthcare services, and provide reliable and updated online information and resources for older adults. IMPLICATIONS FOR NURSING MANAGEMENT: Mobilizing health care providers to provide health management for older adults in the context of public health events to meet the health needs of them.

5.
Sci Rep ; 12(1): 7353, 2022 05 05.
Artigo em Inglês | MEDLINE | ID: mdl-35513465

RESUMO

The pollution problem caused by surplus livestock manure nutrient is becoming more and more serious; thus, analyzing characteristics of the temporal and spatial patterns of livestock manure nutrient and assessing the risks are extremely important. The pollution coefficient method was used to figure out the spatiotemporal variation characteristics of the nitrogen (N) and phosphorus (P) emissions of livestock manure nutrient in soil of the Yangtze River Delta from 1980 to 2018. High-risk areas for livestock manure pollution were determined by matching degree assessment between livestock manure nutrient supply and crop nutrient requirements. Clustering and principal component analysis were applied to select main control factors. The results found that the total discharge and manure N and P loads in animal manure nutrient showed an overall trend of increasing first and then decreasing in the Yangtze River Delta in the soil from 1980 to 2018. The center of manure N and P loads shifted from the central region to the northeastern and southwestern regions. There were four typical patterns for manure N emissions, the main control factors were meat production and primary industry. Meanwhile, the main control factors for the four typical patterns of manure P emissions were meat production and cultivated land area. This research provides a theoretical basis for the sustainable development of the livestock breeding industry and is of significance for promoting a balance between planting and breeding in the Yangtze River Delta.


Assuntos
Gado , Esterco , Agricultura/métodos , Animais , China , Esterco/análise , Nitrogênio/análise , Nutrientes , Rios , Solo
6.
Contrast Media Mol Imaging ; 2022: 3463358, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35494211

RESUMO

Medical images play an important role in modern medical diagnosis. Many clinicians make correct and appropriate diagnosis and treatment plans by means of medical images. With the development of science and technology, the application of medical image needs not only to simply read the image, but also to fuse advanced technology to analyze and process the image from a deeper level, such as the proposal of virtual surgery. Therefore, this article focuses on several key issues of medical image segmentation and virtual surgery. First, medical images are preprocessed by gray level transformation, interpolation, and noise elimination techniques. Second, level set model-based segmentation algorithm is adopted and improved. Finally, a constrained Delaunay tetrahedron method based on a point-by-point insertion method is proposed to reconstruct the tetrahedron mesh model. In order to eliminate the thin element, the tetrahedron mesh model is optimized. The simulation results show that this article improves the segmentation algorithm based on the level set model, which effectively improves the contradiction between the convergence accuracy and the convergence speed of the algorithm. The proposed tetrahedral mesh reconstruction algorithm realizes the generation of tetrahedral finite element meshes with complex boundaries and improves the quality of the volume model by optimizing the model.


Assuntos
Algoritmos , Simulação por Computador
7.
BMC Nurs ; 21(1): 118, 2022 May 16.
Artigo em Inglês | MEDLINE | ID: mdl-35578206

RESUMO

BACKGROUND: Nursing professionalism is highly significant to the development of nursing. Florence Nightingale was the founder and leader of modern nursing, and Nightingale's nursing professionalism has a significant impact on nursing in China and all over the world. In the new era, a new understanding of Nightingale's nursing professionalism should be developed, and its positive role in nursing reshaped. METHODS: A total of 1,557 nurses and nursing students from 27 provincial administrative regions of China were surveyed using a customized questionnaire. Their recognitions of Nightingale's nursing professionalism were evaluated based on scores, and statistical differences between and within the groups were analyzed using an Analysis of Variance (ANOVA). The elements of Nightingale's nursing professionalism were extracted by the exploratory factor method and a principal component analysis. RESULTS: The Cronbach's α of the questionnaire was 0.965, and the two groups did not differ significantly (p > 0.05). Based on the standard that the cumulative contribution rate of common factor should be > 85%, three common factors of Nightingale's nursing professionalism, including professional emotion, professional ability and professional ethics, were extracted based on the Scree plot. CONCLUSIONS: This study aimed to explore the connotation of Nightingale's nursing professionalism. Our survey indicates that Nightingale's nursing professionalism is highly recognized by nurses and nursing students in China. Its connotation includes professional emotion, ability and ethics. Nursing education and nursing management should fully utilize the leading role of Nightingale and guide the professional behaviors of nurses to be consistent with Nightingale's nursing professionalism, thus, improving the degree of nurse professionalism.

8.
Front Public Health ; 10: 893280, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35602157

RESUMO

Rapid social change has given rise to a general increase in psychological pressure, which has led to more and more Chinese people suffering from depression over the past 30 years. Depression was influenced not only by individual factors but also by social factors, such as economy, culture, politics, etc. These social factors were measured at the national, provincial, or community levels. However, little literature reported the influence of province-level factors on the depression of Chinese. This study examined the effects of province-level and individual-level factors on depression of Chinese respondents aged 16-97 years. We conducted a multilevel analysis of the 2018 wave survey of the Chinese Family Panel Studies (CFPS), with 19,072 respondents nested within the 25 Chinese provinces. Data for the province-level were extracted from the National Bureau of Statistics of China, including three predictors: gross regional product (GRP) per capita, expenditure for social security and employment (ESSE), and rural and urban household income inequality. Depression was measured with the eight-item short version of the Center for Epidemiologic Studies Depression Scale (CES-D8). The study found that respondents who were female, 30-59 years, divorced or widowed, less educated, rural residents, less body mass index (BMI), or had lower household income tended to report higher levels of depressive symptoms. After adjustment for individual-level features, a significant effect of provinces still survived. The respondents who lived in a province with higher GRP, higher ESSE, or smaller rural and urban household income inequality reported lower depressive symptoms. Our results demonstrated that individual features did not fully explain depression. Economic and social factors appeared to impact depression and have to be considered when the government planned for improved public depression. Meanwhile, our research also provided a suggestion for the government of some provinces to investigate and improve depression.


Assuntos
Renda , População Rural , China/epidemiologia , Feminino , Humanos , Masculino , Inquéritos e Questionários
10.
Nat Commun ; 13(1): 2486, 2022 May 05.
Artigo em Inglês | MEDLINE | ID: mdl-35513361

RESUMO

CO2 electroreduction reaction offers an attractive approach to global carbon neutrality. Industrial CO2 electrolysis towards formate requires stepped-up current densities, which is limited by the difficulty of precisely reconciling the competing intermediates (COOH* and HCOO*). Herein, nano-crumples induced Sn-Bi bimetallic interface-rich materials are in situ designed by tailored electrodeposition under CO2 electrolysis conditions, significantly expediting formate production. Compared with Sn-Bi bulk alloy and pure Sn, this Sn-Bi interface pattern delivers optimum upshift of Sn p-band center, accordingly the moderate valence electron depletion, which leads to weakened Sn-C hybridization of competing COOH* and suitable Sn-O hybridization of HCOO*. Superior partial current density up to 140 mA/cm2 for formate is achieved. High Faradaic efficiency (>90%) is maintained at a wide potential window with a durability of 160 h. In this work, we elevate the interface design of highly active and stable materials for efficient CO2 electroreduction.

11.
Eur J Med Chem ; 236: 114321, 2022 Jun 05.
Artigo em Inglês | MEDLINE | ID: mdl-35430559

RESUMO

Triple negative breast cancer (TNBC) is a complex and heterogeneous neoplasm, and till now no effective therapies are available. PARP inhibitors, which target DNA repair, are lethal to those cells that have impaired homologous recombination (HR) pathway. So, PARP inhibitors might exert promising results in the treatment of BRCA-mutated TNBC, but show compromised effect to those wild-type TNBC. Herein, we describe a novel PROTACs C8, which was obtained by conjugating PARP1/2 inhibitor Olaparib to KB02, can induce potent and specific degradation of PARP2 by recruiting DCAF16 E3 ligase for treatment of wild-type TNBC. Moreover, C8 exhibits therapeutic potential in TNBC cell lines MDA-MB-231 both in vitro and in vivo. These studies demonstrated that the DCAF16 E3 ligases can be used in PARP2 PROTACs design, and C8, as a novel PARP2 selective DCAF16 based PROTACs, might be a promising lead compound for the treatment of BRCA-wild-type TNBC.

12.
Artigo em Inglês | MEDLINE | ID: mdl-35434840

RESUMO

Methyltransferase-like 3 (METTL3) catalyzes N6-methyladenosine (m6 A) modification on mRNA and participates in a wide range of biological functions via epigenetically regulating gene expression. Recent studies suggested that dysregulation of METTL3 is associated with multiple human cancers; however, the role of METTL3 in lung cancer remains unclear. In present study, through transcriptome analysis of lung cancer patients, we found that METTL3 is overexpressed in lung cancer patients and is associated with poor patient survival. More importantly, combining both in vitro and in vivo models, we revealed that in lung cancer cells, METTL3 overexpression activates PI3K/AKT/mTOR pathway and mTOR-mediated protein synthesis. Mechanistically, METTL3 promotes PI3K expression by introducing m6 A modification in PI3K 3' untranslated region (3' UTR). Elevated PI3K level then activates downstream AKT and mTOR signaling pathway and results in rapid cancer cell proliferation and metastasis. Taken together, our study reveals that METTL3-mediated m6 A methylation promotes lung cancer progression via activating PI3K/AKT/mTOR pathway.

13.
BMC Med Educ ; 22(1): 272, 2022 Apr 13.
Artigo em Inglês | MEDLINE | ID: mdl-35418092

RESUMO

BACKGROUND: The Debriefing Experience Scale (DES) is a tool that is used to explore nursing students' subjective experiences during a debriefing and to help determine best debriefing practices. A Chinese version of the scale has not been found; its development can enhance learning in simulation activites in Chinese healthcare education programs. METHODS: A simplified Chinese version of the DES was developed and tested using 34 Chinese undergraduate (second year) nursing students. They participated in six simulation scenarios and debriefings. Eight experts were consulted to determine the content validity of the scale. Critical ratio method, Cronbach's alpha, intraclass correlation coefficient, correlation coefficient and factor analysis were used in testing the psychometric properties of the scale. RESULTS: Analysis of 200 scales showed that the simplified Chinese version of the DES had good potential in discriminatiing Chinese nursing students' experiences of debriefing. CONCLUSIONS: The simplified Chinese DES was effective in evaluating the experience of debriefing. A larger sample size and multicenter research is needed to confirm these findings.


Assuntos
Comparação Transcultural , Estudantes de Enfermagem , Estudos Transversais , Análise Fatorial , Humanos , Psicometria , Reprodutibilidade dos Testes , Inquéritos e Questionários
14.
BMJ Open ; 12(4): e054876, 2022 Apr 22.
Artigo em Inglês | MEDLINE | ID: mdl-35459668

RESUMO

INTRODUCTION: The cognitive dysfunction associated with nitrous oxide abuse is gradually becoming a major global public health concern. Despite the increasing prevalence of nitrous oxide abuse, there are currently no authorised/approved treatment options. Hyperbaric oxygen therapy (HBOT) has been proven to be an efficient method to improve cognitive function. The current randomised, double-blinded, placebo-controlled trial will explore the effect of HBOT on cognitive dysfunction induced by nitrous oxide abuse. METHODS AND ANALYSIS: Eighty participants who abuse nitrous oxide and have cognitive dysfunction, including memory decline, disorientation, attention deficits, slower reactions and learning disabilities, will be included in the trial. They will be randomly assigned to receive either HBOT or sham-HBOT 90-120 min once daily for 5 days per week for 2 weeks. The primary outcome will be the improvement in the total score of the MATRICS Consensus Cognitive Battery, which will measure comprehensive cognitive function between the two groups. Additionally, attention will be measured by integrated visual and auditory continuous performance tests, executive function will be measured by the Wisconsin card sorting test, intelligence will be measured by Raven's standard progressive matrices and cognitive control will be measured by the Stroop colour word interference test. ETHICS AND DISSEMINATION: This protocol was approved by the West China Hospital of Sichuan University Biomedical Research Ethics Committee. The report of the study will be disseminated via scientific forums including peer-reviewed publications and presentations at national and international conferences. TRIAL REGISTRATION NUMBER: Chinese Clinical Trial Registry (ChiCTR2100047111).


Assuntos
Disfunção Cognitiva , Oxigenação Hiperbárica , Cognição , Disfunção Cognitiva/induzido quimicamente , Disfunção Cognitiva/terapia , Método Duplo-Cego , Humanos , Óxido Nitroso , Ensaios Clínicos Controlados Aleatórios como Assunto , Projetos de Pesquisa
15.
J Org Chem ; 87(8): 5065-5075, 2022 Apr 15.
Artigo em Inglês | MEDLINE | ID: mdl-35377643

RESUMO

Through PhI(OAc)2-oxidized dearomatization and diesterification of 3'-hydroxy-[1,1'-biphenyl]-2-carboxylic acids, a series of polycyclic compounds possessing an altenuene backbone were obtained in moderate to good yields. The Umpolung diesterification reaction was completed under mild reaction conditions without an additional nucleophilic reagent. This work offers a concise method for the synthesis of diverse natural altenuene analogues. The mechanism was proposed, and the [1,5]-H shift was studied in isomerization from the ketone-form structure to a phenol employing computational studies.

16.
Metab Brain Dis ; 2022 Apr 14.
Artigo em Inglês | MEDLINE | ID: mdl-35420377

RESUMO

Vascular dementia (VaD) is the second cause of dementia after Alzheimer's disease. Ligustilide (LIG) is one of the main active ingredients of traditional Chinese medicines, such as Angelica. Studies have reported that LIG could protect against VaD. However, the mechanism is still confused. In this study, we employed a bilateral common carotid artery occlusion rat model to study. LIG (20 or 40 mg/kg/day) and Nimodipine (20 mg/kg) were orally administered to the VaD rats for four weeks. Morris water maze test showed that LIG effectively ameliorated learning and memory impairment in VaD rats. LIG obviously reduced neuronal oxidative stress damage and the level of homocysteine in the brain of VaD rats. Western blot results showed that pro-apoptotic protein Bax and cleaved caspase 3 increased and anti-apoptotic protein Bcl-2 decreased in the hippocampi of VaD rats. But after LIG treatment, these changes were reversed. Moreover, Nissl staining result showed that LIG could reduce neuronal degeneration in VaD rats. Furthermore, LIG enhanced the expressions of P-AMPK and Sirtuin1(SIRT1) in VaD rats. In conclusion, these studies indicated that LIG could ameliorate cognitive impairment in VaD rats, which might be related to AMPK/SIRT1 pathway activation.

17.
Pharmacol Res ; 180: 106225, 2022 Apr 20.
Artigo em Inglês | MEDLINE | ID: mdl-35452801

RESUMO

Analysis of drug-induced expression profiles facilitated comprehensive understanding of drug properties. However, many compounds exhibit weak transcription responses though they mostly possess definite pharmacological effects. Actually, as a representative example, over 66.4% of 312,438 molecular signatures in the Library of Integrated Cellular Signatures (LINCS) database exhibit low-transcriptional activities (i.e. TAS-low signatures). When computing the association between TAS-low signatures with shared mechanism of actions (MOAs), commonly used algorithms showed inadequate performance with an average area under receiver operating characteristic curve (AUROC) of 0.55, but the computation accuracy of the same task can be improved by our developed tool Genetic profile activity relationship (GPAR) with an average AUROC of 0.68. Up to 36 out of 74 TAS-low MOAs were well trained with AUROC ≥ 0.7 by GPAR, higher than those by other approaches. Further studies showed that GPAR benefited from the size of training samples more significantly than other approaches. Lastly, in biological validation of the MOA prediction for a TAS-low drug Tropisetron, we found an unreported mechanism that Tropisetron can bind to the glucocorticoid receptor. This study indicated that GPAR can serve as an effective approach for the accurate identification of low-transcriptional activity drugs and their MOAs, thus providing a good tool for drug repurposing with both TAS-low and TAS-high signatures.

18.
BMC Psychiatry ; 22(1): 274, 2022 Apr 19.
Artigo em Inglês | MEDLINE | ID: mdl-35439968

RESUMO

BACKGROUND: Mood disorder, impulsivity and aggression are common in drug users compared to healthy controls. However, no study has focused on the difference in various types of drug users. Therefore, the objective of this study was to explore the differences in depression, anxiety, impulsivity, and aggression among methamphetamine, heroin and polysubstance users and to further explore the risk factors for severe depression in the three groups. METHODS: Drug users over 18 years old who met the DSM-V diagnostic criteria for substance -related disorders were included in the study. All participants completed a general questionnaire, the Zung Self-Rating Depression Scale (SDS), the Zung Self-Rating Anxiety Scale (SAS), Barratt impulsiveness Scale Version 11 (BIS-11), and the Buss-Perry Aggression Questionnaire (BPAQ). One-way ANOVAs or Chi-square tests were used to test the differences among the groups, correlation analysis was used to test the relationship between drug use and other parameters, and multiple logistic regression was conducted to assess the risk factors for severe depression. RESULTS: A total of 1,486 participants were included, comprising 86.3% males with a mean age of 38.97 years. There was a significant difference in the percentage of severe depression and SDS scores among the three groups, but no significant difference was found in SAS, BIS-11 and BPAQ scores. Using methamphetamines, hostility and anxiety were risk factors for developing severe depression in all the participants and anxiety remained constant in the other three groups. Moreover, methamphetamine use was 2.16 and 3.35 times more likely to cause severe depression than heroin and polysubstance use, respectively. The initial age of substance use was negatively correlated with BPAQ, SAS, and SDS scores, whereas the drug use duration and addiction duration were positively correlated. CONCLUSIONS: In this study, we found that the highest prevalence of severe depression was in participants using methamphetamines and that using methamphetamines, hostility, and anxiety were risk factors for developing severe depression. This result addressed an important gap in our knowledge of the different characteristics of depression, anxiety, impulsivity and aggression in various types of substance users and provides clinicians and policy-makers with directions for intervention and preventing relapse.


Assuntos
Transtorno Depressivo Maior , Usuários de Drogas , Metanfetamina , Transtornos Relacionados ao Uso de Substâncias , Adolescente , Adulto , Agressão , Ansiedade/epidemiologia , Estudos Transversais , Depressão/diagnóstico , Depressão/epidemiologia , Feminino , Heroína , Humanos , Comportamento Impulsivo , Masculino , Transtornos Relacionados ao Uso de Substâncias/epidemiologia
19.
Comput Inform Nurs ; 2022 Apr 24.
Artigo em Inglês | MEDLINE | ID: mdl-35470296

RESUMO

The Coronavirus Disease 2019 (COVID-19) pandemic has become a leading societal concern. eHealth literacy is important in the prevention and control of this pandemic. The purpose of this study is to identify eHealth literacy of Chinese residents about the COVID-19 pandemic and factors influencing eHealth literacy. A total of 15 694 individuals clicked on the link to the questionnaire, and 15 000 agreed to participate and completed the questionnaire for a response rate of 95.58%. Descriptive statistics, χ2 test, and logistic regression analysis were conducted to analyze participants' level of eHealth literacy about COVID-19 and its influencing factors. The results showed 52.2% of participants had relatively lower eHealth literacy regarding COVID-19 (eHealth literacy score ≤ 48). The scores of the information judgment dimension (3.09 ± 0.71) and information utilization dimension (3.18 ± 0.67) of the eHealth literacy scale were relatively lower. The logistics regression showed that sex, age, education level, level of uncertainty, having people around the respondent diagnosed with COVID-19, relationship with family, and relationship with others were associated to eHealth literacy (χ2 = 969.135, P < .001). The public's eHealth literacy about COVID-19 needs to be improved, especially the ability to judge and utilize online information. Close collaboration among global health agencies, governments, healthcare institutions, and media is needed to provide reliable online information to the public. Interventions to improve eHealth literacy should take into account and accentuate the importance of sex, age, educational background, level of uncertainty, exposure to disease, and social support.

20.
Phytomedicine ; 100: 154081, 2022 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-35405615

RESUMO

BACKGROUND: Patients with diabetes have accelerated vascular aging when compared with healthy individuals. Hyperglycemia, especially intermittent high glucose (IHG), is the main cause of vascular endothelial senescence. Capsaicin, a major component of chili pepper is thought to contribute to cardiovascular protection by spicy food. OBJECTIVE: To investigate the pathway related with the effects of capsaicin on endothelial cell senescence induced by IHG. METHODS: HUVECs were exposed to IHG (5 mM or 33 mM glucose, alternating every 12 hours for 3 days) and treated with capsaicin at 0.3, 1 and 3 µM. To determine endothelial cell senescence, we examined the senescence-related ß-galactosidase staining, cell cycle arrest, cell viability, as well as production of reactive oxygen species (ROS). To evaluate the involvement of TRPV1/[Ca2+]i/CaMKII/AMPK/SIRT1 pathway in anti- senescence effects of capsaicin, HUVECs were treated with CAPZ (a TRPV1 antagonist), BAPTA-AM (an intracellular calcium chelator), KN62 (a CaMKII antagonist), compound C (an AMPK inhibitor), or EX527 (a SIRT1 inhibitor). To knockdown TRPV1, HUVECs were transfected with shRNA lentivirus targeting TRPV1. The levels of SIRT1, p21, TRPV1, AMPK and phospho-AMPK were evaluated by western blotting. RESULTS: IHG suppressed the levels of SIRT1 and enhanced endothelial senescence. Capsaicin upregulated SIRT1 expression and downregulated the senescence marker, p21, thereby protecting endothelial cells from IHG-induced senescence as indicated by relieved G0/G1 phase arrest, improved cell viabilities, and reduced counts of senescent cells and ROS production. Pre-treatment with CAPZ, BAPTA-AM, KN62 or compound C abrogated the anti-senescence effects of capsaicin. Capsaicin restored AMPK phosphorylation and IHG-inhibited TRPV1 expression. Moreover, TRPV1 silencing suppressed SIRT1 expression and abolished the anti-senescence effects of capsaicin. CONCLUSION: Capsaicin elevates SIRT1 levels through TRPV1/[Ca2+]i/CaMKII/AMPK pathway and suppresses IHG-mediated endothelial cell senescence. This study provides initial evidence that capsaicin is a potential candidate for the prevention of vascular aging in diabetes.


Assuntos
Capsaicina , Sirtuína 1 , Proteínas Quinases Ativadas por AMP/metabolismo , Proteína Quinase Tipo 2 Dependente de Cálcio-Calmodulina/metabolismo , Proteína Quinase Tipo 2 Dependente de Cálcio-Calmodulina/farmacologia , Capsaicina/farmacologia , Células Cultivadas , Senescência Celular , Glucose/farmacologia , Células Endoteliais da Veia Umbilical Humana , Humanos , Espécies Reativas de Oxigênio/metabolismo , Sirtuína 1/metabolismo , Canais de Cátion TRPV
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