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1.
Prog Neurobiol ; : 102178, 2021 Sep 23.
Artigo em Inglês | MEDLINE | ID: mdl-34563625

RESUMO

The context of reinforcement history drastically influences human value-based choices. Mental accounting theory concerns how prior outcomes are perceived, combined and assigned into specific "mental" accounts to influence subsequent decisions but remains agnostic about the underlying computational and neural mechanisms. In a two-stage sequential decision-making task, we found previously incurred costs and bonuses biased subjects' choices in the opposite directions with similar magnitudes. Such effects were consistent with a computational model where the reference point was recalibrated by prior gains and losses encoded in the ventral striatum activities. Moreover, individual's susceptibility to prior outcomes was captured by the response of the dorsolateral prefrontal cortex and its functional connectivity with the medial orbitofrontal cortex, whose activity tracked the value of the chosen option. Our findings provide both behavioral and neural evidence of how sunk costs, benefits, and prospects are integrated within the mental accounting framework to influence choice behavior.

2.
Curr Med Chem ; 2021 Sep 10.
Artigo em Inglês | MEDLINE | ID: mdl-34514982

RESUMO

Protein-ligand interactions are necessary for majority protein functions. Adenosine-5'-triphosphate (ATP) is one such ligand that plays vital role as a coenzyme in providing energy for cellular activities, catalyzing biological reaction and signaling. Knowing ATP binding residues of proteins is helpful for annotation of protein function and drug design. However, due to the huge amounts of protein sequences influx into databases in the post-genome era, experimentally identifying ATP binding residues is cost-ineffective and time-consuming. To address this problem, computational methods have been developed to predict ATP binding residues. In this review, we briefly summarized the application of machine learning methods in detecting ATP binding residues of proteins. We expect this review will be helpful for further research.

3.
Cancer Nurs ; 2021 May 19.
Artigo em Inglês | MEDLINE | ID: mdl-34010216

RESUMO

BACKGROUND: Pain is a frequently reported and distressing symptoms during cancer treatment. However, there is limited evidence on pain reported by Chinese children with cancer. OBJECTIVES: This study aimed to investigate the prevalence, intensity, interference, and management of pain reported by Chinese children during cancer treatment and explore the predictors of pain interference. METHODS: We conducted a cross-sectional survey to investigate the pain intensity, pain interference, co-occurring symptoms (anger, anxiety, depression, fatigue), and pain management strategies reported by children 8 years and older undergoing active cancer treatment in 4 Chinese hospitals. RESULTS: Data were analyzed for 187 children. The prevalence of moderate to severe pain (≥4/10) was 38.50%, with an average pain interference score of 52.97 out of 100. Approximately 24% of children were prescribed pain medicine. Pain interference and pain intensity were marginally correlated (r = 0.047, P < .01) and were both positively correlated with pain duration and co-occurring symptoms and negatively correlated with perceived pain alleviation (all P < .01). Multiple regression analyses suggested that severe pain intensity (B = 2.028, P = .003) and fatigue (B = 0.440, P < .001) significantly predicted higher levels of pain interference (R2 = 0.547, F = 23.102, P < .001). CONCLUSION: Chinese children with cancer reported a low pain intensity score but a relatively high level of pain interference. According to the children's reports, pain has not been sufficiently addressed through Chinese pediatric oncology supportive care. IMPLICATIONS FOR PRACTICE: There is an urgent requirement for comprehensive pain assessment and standardized, targeted interventions in Chinese pediatric oncology pain management.

4.
J Pediatr Oncol Nurs ; 38(4): 262-270, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33686896

RESUMO

Background: Fatigue is a prevalent and distressing symptom in children and adolescents with cancer. Objectives: This study aimed to (1) investigate the current fatigue status reported by Chinese children and adolescents with cancer during active cancer treatment and (2) examine whether sociodemographic information, disease and treatment information, co-occurring symptoms, function and related clinical data are significantly associated with fatigue according to the biopsychosocial model. Methods: Participants were children aged 8-17 years, who had undergone treatment for cancer at four hospitals in China. Children completed the Chinese version of the Pediatric Patient-Reported Outcomes Measurement Information System short forms. Results: In total, 187 children (33.16% female, mean age 10.28 years) participated. The mean T-score for child-reported fatigue was 48.52 (34-72). Multiple linear regression analysis showed that fatigue in pediatric active cancer treatment could be significantly predicted by greater child-reported pain interference (ß = 0.391, p < .001), greater depressive symptoms (ß = 0.443, p < .001), and reduced mobility (ß = -0.226, p = .004) (adjusted R2 = 0.613, F = 16.476, p < .001). Conclusions: Children and adolescents with cancer experience multiple, intersecting troubling symptoms during their treatment. There is a need to attend to the biopsychosocial aspects of care for children and adolescents during active cancer treatment. To reduce pediatric oncology patients' fatigue level, clinicians could develop culturally sensitive interventions to alleviate children's pain interference, treat depressive symptoms, and maximize their physical mobility.


Assuntos
Fadiga , Neoplasias , Adolescente , Criança , China , Fadiga/epidemiologia , Fadiga/etiologia , Feminino , Humanos , Masculino , Neoplasias/complicações , Neoplasias/terapia , Qualidade de Vida , Autorrelato
5.
J Pediatr Nurs ; 59: e13-e19, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33752933

RESUMO

PURPOSE: Pain is a distressing symptom for children and adolescents with cancer and is experienced by individuals differently. This study sought to determine subgroups according to their pain experiences, and how demographic, clinical, and quality of life (QOL)-related characteristics might differ across subgroups. DESIGN AND METHODS: This cross-sectional study recruited 187 pediatric patients with cancer aged 8 to 17 years old and asked them to complete measures of pain intensity, pain duration, pain interference and pain control using the Chinese translation of the validated questionnaire from the Pain Squad app, as well as 7 PROMIS measures assessing QOL-related outcomes. Latent profile analysis (LPA) was used to identify latent subgroups. RESULTS: Three subgroups of children were identified: low-pain/low-duration (69.5%), moderate-pain/high-duration (19.8%), and high-pain/moderate-duration (10.7%). Hospitalized children were more likely to be in the moderate-pain/high-duration subgroup. Children in the high-pain/moderate-duration subgroup were more likely to be cared for by unemployed caregivers. Scores on depressive symptoms (p = 0.002), anger (p < 0.001), anxiety (p = 0.045), fatigue (p = 0.044), and mobility (p = 0.008) questionnaire were significantly worse in the high-pain/moderate-duration subgroup than the other two subgroup. PRACTICE IMPLICATIONS: This study provides a scientific foundation for further studies exploring predictive factors related to pain experiences. More targeted treatment strategies targeting the specific characteristics of each subgroup will help improve patients' QOL and use of medical resources. CONCLUSIONS: The 3 identified pain subgroups demonstrate the heterogeneity in pain experiences among pediatric patients with cancer. Knowledge of these subgroups can assist clinicians in better identifying and targeting pain treatment for children with cancer.


Assuntos
Neoplasias , Qualidade de Vida , Adolescente , Criança , China/epidemiologia , Estudos Transversais , Humanos , Neoplasias/complicações , Dor
6.
J Mol Biol ; 433(11): 166860, 2021 05 28.
Artigo em Inglês | MEDLINE | ID: mdl-33539888

RESUMO

As a key region, promoter plays a key role in transcription regulation. A eukaryotic promoter database called EPD has been constructed to store eukaryotic POL II promoters. Although there are some promoter databases for specific prokaryotic species or specific promoter type, such as RegulonDB for Escherichia coli K-12, DBTBS for Bacillus subtilis and Pro54DB for sigma 54 promoter, because of the diversity of prokaryotes and the development of sequencing technology, huge amounts of prokaryotic promoters are scattered in numerous published articles, which is inconvenient for researchers to explore the process of gene regulation in prokaryotes. In this study, we constructed a Prokaryotic Promoter Database (PPD), which records the experimentally validated promoters in prokaryotes, from published articles. Up to now, PPD has stored 129,148 promoters across 63 prokaryotic species manually extracted from published papers. We provided a friendly interface for users to browse, search, blast, visualize, submit and download data. The PPD will provide relatively comprehensive resources of prokaryotic promoter for the study of prokaryotic gene transcription. The PPD is freely available and easy accessed at http://lin-group.cn/database/ppd/.


Assuntos
Bases de Dados de Ácidos Nucleicos , Células Procarióticas/metabolismo , Regiões Promotoras Genéticas , Bacillus subtilis/genética , Sequência de Bases , Sequência Conservada , Escherichia coli K12/genética , Motivos de Nucleotídeos/genética , Reprodutibilidade dos Testes , Interface Usuário-Computador
7.
Mol Ther Nucleic Acids ; 22: 1043-1050, 2020 Dec 04.
Artigo em Inglês | MEDLINE | ID: mdl-33294291

RESUMO

Transcription factors play key roles in cell-fate decisions by regulating 3D genome conformation and gene expression. The traditional view is that methylation of DNA hinders transcription factors binding to them, but recent research has shown that many transcription factors prefer to bind to methylated DNA. Therefore, identifying such transcription factors and understanding their functions is a stepping-stone for studying methylation-mediated biological processes. In this paper, a two-step discriminated method was proposed to recognize transcription factors and their preference for methylated DNA based only on sequences information. In the first step, the proposed model was used to discriminate transcription factors from non-transcription factors. The areas under the curve (AUCs) are 0.9183 and 0.9116, respectively, for the 5-fold cross-validation test and independent dataset test. Subsequently, for the classification of transcription factors that prefer methylated DNA and transcription factors that prefer non-methylated DNA, our model could produce the AUCs of 0.7744 and 0.7356, respectively, for the 5-fold cross-validation test and independent dataset test. Based on the proposed model, a user-friendly web server called TFPred was built, which can be freely accessed at http://lin-group.cn/server/TFPred/.

8.
Front Cell Dev Biol ; 8: 582864, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33178697

RESUMO

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive and lethal cancer deeply affecting human health. Diagnosing early-stage PDAC is the key point to PDAC patients' survival. However, the biomarkers for diagnosing early PDAC are inexact in most cases. Therefore, it is highly desirable to identify an effective PDAC diagnostic biomarker. In the current work, we designed a novel computational approach based on within-sample relative expression orderings (REOs). A feature selection technique called minimum redundancy maximum relevance was used to pick out optimal REOs. We then compared the performances of different classification algorithms for discriminating PDAC and its adjacent normal tissues from non-PDAC tissues. The support vector machine algorithm is the best one for identifying early PDAC diagnostic biomarker. At first, a signature composed of nine gene pairs was acquired from microarray gene expression data sets. These gene pairs could produce satisfactory classification accuracy up to 97.53% in fivefold cross-validation. Subsequently, two types of data from diverse platforms, namely, microarray and RNA-Seq, were used to validate this signature. For microarray data, all (100.00%) of 115 PDAC tissues and all (100.00%) of 31 PDAC adjacent normal tissues were correctly recognized as PDAC. In addition, 88.24% of 17 non-PDAC (normal or pancreatitis) tissues were correctly classified. For the RNA-Seq data, all (100.00%) of 177 PDAC tissues and all (100.00%) of 4 PDAC adjacent normal tissues were correctly recognized as PDAC. Validation results demonstrated that the signature had a good cross-platform effect for early detection of PDAC. This work developed a new robust signature that might be a promising biomarker for early PDAC diagnosis.

9.
Genomics ; 112(6): 4342-4347, 2020 11.
Artigo em Inglês | MEDLINE | ID: mdl-32721444

RESUMO

N-7 methylguanosine (m7G) modification is a ubiquitous post-transcriptional RNA modification which is vital for maintaining RNA function and protein translation. Developing computational tools will help us to easily predict the m7G sites in RNA sequence. In this work, we designed a sequence-based method to identify the modification site in human RNA sequences. At first, several kinds of sequence features were extracted to code m7G and non-m7G samples. Subsequently, we used mRMR, F-score, and Relief to obtain the optimal subset of features which could produce the maximum prediction accuracy. In 10-fold cross-validation, results showed that the highest accuracy is 94.67% achieved by support vector machine (SVM) for identifying m7G sites in human genome. In addition, we examined the performances of other algorithms and found that the SVM-based model outperformed others. The results indicated that the predictor could be a useful tool for studying m7G. A prediction model is available at https://github.com/MapFM/m7g_model.git.


Assuntos
Guanosina/análogos & derivados , RNA/química , Análise de Sequência de RNA/métodos , Algoritmos , Guanosina/análise , Células HeLa , Células Hep G2 , Humanos , Software , Máquina de Vetores de Suporte
10.
Artigo em Inglês | MEDLINE | ID: mdl-29857447

RESUMO

Breast cancer patients showed low engagement in physical activity (PA) during chemotherapy. Evidence showed regular PA has potential to reduce mortality and risks of cancer recurrence, relieve psychological distress, manage symptoms and improve quality of life. Mobile health intervention displays a great advantage to deliver cancer care timely and remotely. A Mobile Physical Activity Program was constructed in a mobile phone application. The application contained 5 modes: information delivering, disease tracking, events reminders, online interaction, health behavior recording (daily walking steps, sleeping time and body weight) and self-reported assessment. Both applications and web-based administration portal were developed by engineers.


Assuntos
Neoplasias da Mama/reabilitação , Exercício Físico , Aplicativos Móveis , Neoplasias da Mama/tratamento farmacológico , Telefone Celular , Feminino , Humanos , Recidiva Local de Neoplasia , Qualidade de Vida
11.
Neuroimage ; 143: 343-352, 2016 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-27608604

RESUMO

In intertemporal choice (ITC), people discount future rewards in proportion to the time delay until reward receipt. Despite recent non-invasive brain stimulation studies suggesting a general causal link between dorsolateral prefrontal cortex (dlPFC) activity and ITC impulsivity, results regarding the functional specificity of dlPFC are mixed. We used high-definition transcranial direct current stimulation (HD-tDCS) to map changes in causal impulsivity through bi-directional modulation of left and right dlPFC during ITC. Model-free and model-based analyses demonstrated that anodal and cathodal stimulation of left dlPFC, but not right dlPFC, decreased and increased impulsivity, respectively. Critically, an individual differences analysis revealed that modulation of impulsivity was contingent on participants' baseline impulsivity. Overall, our results might reconcile the discrepancies in the existing literature and suggest a baseline-dependent role for left dlPFC during ITC.


Assuntos
Desvalorização pelo Atraso/fisiologia , Eletroencefalografia/métodos , Comportamento Impulsivo/fisiologia , Córtex Pré-Frontal/fisiologia , Estimulação Transcraniana por Corrente Contínua/métodos , Adulto , Feminino , Humanos , Masculino , Adulto Jovem
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