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SAN JOSÉ, Costa Rica y DETROIT, 10 de mayo de 2017 /PRNewswire-HISPANIC PR WIRE/ -- GPM Global (GPM), la University for International Cooperation (UCI), Village Green Global Inc. (VGG) y la Comunidad de Río Gigante han firmado un Preámbulo de Acuerdo, y ya han comenzado los primeros financiamientos, con el fin de establecer el Instituto Internacional para la Paz y el Desarrollo Sostenible (International Institute for Peace and Sustainable Development, IIPSD).


Wu S.,Shanghai University | Wu F.,University for International Cooperation | Hong R.,Fujian Center for Disease Control and Prevetion | He J.,Shanghai University
PLoS ONE | Year: 2012

Background: There is limited epidemiologic information about the incidence of hepatitis C in China, and few studies have applied space-time scan statistic to detect clusters of hepatitis C and made adjustment for temporal trend and relative risk of regions. Methodology and Principal Findings: We analyzed the temporal changes and characteristics of incidence of hepatitis C in Fujian Province from 2006 through 2010. The discrete Poisson model of space-time scan statistic was chosen for cluster detection. Data on new cases of hepatitis C were obtained from the Center for Disease Control and Prevention of Fujian Province. Between 2006 and 2010, there was an annualized increase in the incidence of hepatitis C of 23.0 percent, from 928 cases (2.63 per 100,000 persons) to 2,180 cases (6.01 per 100,000 persons). The incidence among women increased more rapidly. The cumulative incidence showed that people who were over 60 years had the highest risk to suffer hepatitis C (52.51 per 100,000 persons), and women had lower risk compared to men (OR = 0.69). Putian had the highest cumulative incidence among all the regions (86.95 per 100,000 persons). The most likely cluster was identified in Putian during March to August in 2009 without adjustment, but it shifted to three contiguous cities with a two-month duration after adjustment for temporal trend and relative risk of regions. Conclusions/Significance: The incidence of hepatitis C is increasing in Fujian Province, and women are at a more rapid pace. The space-time scan statistic is useful as a screening tool for clusters of hepatitis C, with adjustment for temporal trend and relative risk of regions recommended. © 2012 Wu et al.


Wu S.,302 Hospital of PLA | Ding Y.,Shanghai University | Wu F.,University for International Cooperation | Li R.,302 Hospital of PLA | And 2 more authors.
Neuroscience and Biobehavioral Reviews | Year: 2015

Background: We systematically reviewed the association of omega-3 fatty acids intake with the incidence of dementia and Alzheimer's disease (AD) in this meta-analysis of prospective cohort studies, as evidence from previous studies suggests inconsistent results. Methods: We identified relevant studies by searching PubMed, EmBase, and Web of Science databases up to June 2013. Prospective cohort studies reporting on associations of dietary intake of long-chain omega-3 fatty acids or fish with the incidence of dementia and AD were eligible. Results: Comparing the highest to lowest category of long-chain omega-3 fatty acids intake and fish intake, the pooled relative risks (RRs) for dementia were 0.97 (95% CI 0.85-1.10) and 0.84 (95% CI 0.71-1.01), respectively. Evidence synthesis for AD risk did not show a statistically significant association with long-chain omega-3 fatty acids intake (RR = 0.89, 95% CI 0.74-1.08). However, a higher intake of fish was associated with a 36% (95% CI 8-56%) lower risk of AD. Dose-response meta-analysis showed that an increment of 100. g per week of fish intake was associated with an 11% lower risk of AD (RR = 0.89, 95% CI 0.79-0.99). There was limited evidence of heterogeneity across studies or within subgroups. Conclusion: A higher intake of fish was associated with a lower risk of AD. However, there was no statistical evidence for similar inverse association between long-chain omega-3 fatty acids intake and risk of dementia or AD, nor was there inverse association between fish intake and risk of dementia. © 2014 Elsevier Ltd.


Ning B..-F.,Shanghai University | Ding J.,University for International Cooperation | Liu J.,Shanghai University | Yin C.,Shanghai University | And 12 more authors.
Hepatology | Year: 2014

Hepatocyte nuclear factor 4α (HNF4α) is a liver enriched transcription factor and is indispensable for liver development. However, the role of HNF4α in hepatocellular carcinoma (HCC) progression remains to be elucidated. We report that reduced HNF4α expression correlated well with the aggressive clinicopathological characteristics of HCC and predicted poor prognosis of patients. HNF4α levels were even lower in metastatic HCCs, and ectopic HNF4α expression suppressed the metastasis of hepatoma cells both in vitro and in vivo. Forced HNF4α expression attenuated the expression and nuclear translocation of RelA (p65) and impaired NF-κB activation through an IKK-independent mechanism. Blockage of RelA robustly attenuated the suppressive effect of HNF4α on hepatoma cell metastasis. MicroRNA (miR)-7 and miR-124 were transcriptionally up-regulated by HNF4α, which repressed RelA expression by way of interaction with RelA-3′ untranslated region (UTR). In addition, nuclear factor kappa B (NF-κB) up-regulated the expression of miR-21 in hepatoma cells, resulting in decreased HNF4α levels through down-regulating HNF4α-3′UTR activity. Conclusions: Collectively, an HNF4α-NF-κB feedback circuit including miR-124, miR-7, and miR-21 was identified in HCC, and the combination of HNF4α and NF-κB exhibited more powerful predictive efficiency of patient prognosis. These findings broaden the knowledge of hepatic inflammation and cancer initiation/progression, and also provide novel prognostic biomarkers and therapeutic targets for HCC. © 2014 by the American Association for the Study of Liver Diseases.


Dong L.-W.,University for International Cooperation | Hou Y.-J.,University for International Cooperation | Tan Y.-X.,University for International Cooperation | Tang L.,University for International Cooperation | And 4 more authors.
Autophagy | Year: 2011

Autophagy enables cells to recycle long-lived proteins or damaged organelles. Beclin 1 plays important roles in autophagy, differentiation, apoptosis and the development and progression of cancer, but the expression of Beclin 1 and its possible role in primary intrahepatic cholangiocarcinoma (ICC ) has not been reported yet. This study aimed to investigate Beclin 1 expression and its prognostic significance in ICC . First, we assessed the expression levels of Becn1 by real-time PCR in 50 ICC samples and found Becn1 mRN A expression was markedly increased in 78% (39 of 50) samples compared with normal bile duct epithelium. Beclin 1 protein expression in 108 tumor specimens from patients diagnosed with ICC was examined by immunohistochemistry and the correlation between Beclin 1 expression and clinicopathological factors were investigated. Immunopositivity for Beclin 1 was found in 72.2% (78 of 108) samples and low Beclin 1 expression was significantly associated with lymph node metastasis. The correlation between Beclin 1 expression and metastasis was validated in 46 ICC samples with lymph node metastasis. In survival analysis, low Beclin 1 expression was associated with worse overall survival (OS; p = 0.025) and disease-free survival (DFS; p = 0.027). In multivariate analysis, Beclin 1 expression, intrahepatic metastasis, lymph node metastasis and tumor size were found to be independent prognostic factors of OS. Thus, our results suggested the expression of Beclin 1 was correlated with progression and metastasis of ICC and it might serve as a novel prognostic marker for patients with ICC. © 2011 Landes Bioscience.


Chung N.T.,University for International Cooperation | Toan H.Q.,Hanoi University of Science
Nonlinear Analysis: Real World Applications | Year: 2014

This article investigates a class of anisotropic elliptic equations with non-standard growth conditions {-Σi= 1N∂xi(|∂xiu|pi(x)- 2∂xiu)=f(x,u)in Ω,u=0on ∂Ω, where ΩâŠRN (N≥3) is a bounded domain with smooth boundary ∂Ω, and pi, i=1,2,.,N are continuous functions on Ω̄ such that 1


Huang Q.,CAS Dalian Institute of Chemical Physics | Tan Y.,University for International Cooperation | Yin P.,CAS Dalian Institute of Chemical Physics | Ye G.,CAS Dalian Institute of Chemical Physics | And 4 more authors.
Cancer Research | Year: 2013

Hepatocellular carcinoma has a poor prognosis due to its rapid development and early metastasis. In this report, we characterized the metabolic features of hepatocellular carcinoma using a nontargeted metabolic profiling strategy based on liquid chromatography-mass spectrometry. Fifty pairs of liver cancer samples and matched normal tissues were collected from patients having hepatocellular carcinoma, including tumor tissues, adjacent noncancerous tissues, and distal noncancerous tissues, and 105 metabolites were filtered and identified from the tissue metabolome. The principal metabolic alternations in HCC tumors included elevated glycolysis, gluconeogenesis, and b-oxidation with reduced tricarboxylic acid cycle and D-12 desaturase. Furthermore, increased levels of glutathione and other antioxidative molecules, together with decreased levels of inflammatory-related polyunsaturated fatty acids and phospholipase A2, were observed. Differential metabolite levels in tissues were tested in 298 serum specimens from patients with chronic hepatitis, cirrhosis, and hepatocellular carcinoma. Betaine and propionylcarnitine were confirmed to confer good diagnostic potential to distinguish hepatocellular carcinoma from chronic hepatitis and cirrhosis. External validation of cirrhosis and hepatocellular carcinoma serum specimens further showed that this combination biomarker is useful for diagnosis of hepatocellular carcinoma with a supplementary role to a-fetoprotein. © 2013 American Association for Cancer Research.


Xue J.,University for International Cooperation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

The main purpose of genericity in high lever programming language is to increase efficiency of software development and the safety and reusability of software. Genericity is the useful tool to implement generative software development and MDA. However, few modelling language has genericity mechanism and the mechanisms in typical programming language, say C++, Java, etc., is not sufficiently and is not ease to use. The situation in PAR platform is quite different. PAR platform supports Model Driven Software Engineering (MDE) and consists of algorithm modelling language Radl, abstract program modelling language Apla, a set of rules for the model transformation and a set of automatic transformation tools of algorithm model and program model. One of the distinct features of the PAR platform is the agile genericity mechanisms. In PAR not only a value, a data type and a computing-action (including operator, method, function and procedure, etc.) can be generic parameter, an ADT can be generic parameter also. We present new concepts, say type region, action region and ADT region, which can increase the safety of generic software obviously. The paper will pay special attention to describe the syntax and semantics of the ADT parameter. The case study describes the method to develop generic program with ADT as parameter. © Springer International Publishing Switzerland 2016.


Yu L.X.,University for International Cooperation
Hepatology (Baltimore, Md.) | Year: 2010

Increasing evidence suggests that the presence of endotoxemia is of substantial clinical relevance to patients with cirrhosis, but it is unclear whether and how gut-derived LPS amplifies the tumorigenic response of the liver. We found that the circulating levels of LPS were elevated in animal models of carcinogen-induced hepatocarcinogenesis. Reduction of LPS using antibiotics regimen in rats or genetic ablation of its receptor Toll-like receptor 4 (TLR4) in mice prevented excessive tumor growth and multiplicity. Additional investigation revealed that TLR4 ablation sensitizes the liver to carcinogen-induced toxicity via blocking NF-κB activation and sensitizing the liver to reactive oxygen species (ROS)-induced toxicity, but lessens inflammation-mediated compensatory proliferation. Reconstitution of TLR4-expressing myeloid cells in TLR4-deficient mice restored diethylnitrosamine (DEN)-induced hepatic inflammation and proliferation, indicating a paracrine mechanism of LPS in tumor promotion. Meanwhile, deletion of gut-derived endotoxin suppressed DEN-induced cytokine production and compensatory proliferation, whereas in vivo LPS pre-challenge promotes hepatocyte proliferation. CONCLUSION: Our data indicate that sustained LPS accumulation represents a pathological mediator of inflammation-associated hepatocellular carcinoma (HCC) and manipulation of the gut flora to prevent pathogenic bacterial translocation and endotoxin absorption may favorably influence liver function in patients with cirrhosis who are at risk of developing HCC.


The aim of this study is to find the potential biomarkers from the rat hepatocellular carcinoma (HCC) disease model by using a non-target metabolomics method, and test their usefulness in early human HCC diagnosis. The serum metabolic profiling of the diethylnitrosamine-induced rat HCC model, which presents a stepwise histopathological progression that is similar to human HCC, was performed using liquid chromatography-mass spectrometry. Multivariate data analysis methods were utilized to identify the potential biomarkers. Three metabolites, taurocholic acid, lysophosphoethanolamine 16:0, and lysophosphatidylcholine 22:5, were defined as "marker metabolites," which can be used to distinguish the different stages of chemical hepatocarcinogenesis. These metabolites represented the abnormal metabolism during the progress of hepatocarcinogenesis, which could also be found in patients. To test their diagnosis potential 412 sera from 262 patients with HCC, 76 patients with cirrhosis and 74 patients with chronic hepatitis B were collected and studied, it was found that 3 marker metabolites were effective for the discrimination of small liver tumor (solitary nodules of less than 2 cm in diameter) patients, achieved a sensitivity of 80.5% and a specificity of 80.1%,which is better than those of α-fetoprotein (53 and 64%, respectively). Moreover, they were also effective for the discrimination of all HCCs and chronic liver disease patients, which could achieve a sensitivity of 87.5% and a specificity of 72.3%, better than those of α-fetoprotein (61.2 and 64%). These results indicate metabolomics method has the potential of finding biomarkers for the early diagnosis of HCC.

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