CHOLESTEROL BIOSYNTHESIS PATHWAY MODULATORS AND USES THEREOF

EP1636365B1Granted Paten

Epidemiological risk factors for adult dengue in Singapore: an 8-year nested test negative case control study

10.1186/s12879-016-1662-4BMC Infectious Diseases16132

Cholesterol biosynthesis pathway modulators and uses thereof

US20060222638A1Published Applicatio

CHOLESTEROL BIOSYNTHESIS PATHWAY MODULATORS AND USES THEREOF

WO2004108928A1Published Applicatio

Relative miRNA expression in H1N1 and H3N2 patients.

<p>The expression of all 14 miRNAs in blood profiles of H1N1 and H3N2 patients were validated using stem-loop PCR. Relative expression values were normalised to those of healthy controls. Data shown are the mean ± SD, n≥8 for each subgroup.</p

Analysis of microRNA profiles in healthy and influenza A patients.

<p>(<b>A</b>) <b>Hierarchical clustering of miRNA profiles</b>. 193 miRNAs were significantly dysregulated in influenza patients, providing a clear distinction of the pathology. The distinct clustering was seen between the miRNA profiles of the H1N1 patients and the healthy individuals. The upregulated genes are shown in red and downregulated genes are shown in green. (<b>B</b>) <b>Principal Component Analysis (PCA)</b>. PCA analysis reflected that although variation of miRNA profiles within H1N1 patients was evident, they were still clustered away from healthy individuals. Box-whisker plots also showed segregation of miRNA profiles between healthy individuals and those infected with H1N1. Red circles represent healthy individuals while blue represents H1N1 patients. (<b>C</b>) <b>Dot plot profiles of selected 16 miRNAs</b>. Distinct segregation was observed between the miRNA profiles of the H1N1 patients and the healthy individuals. Red circles represent healthy individuals while blue represents H1N1 patients.</p

Predicted miRNA interaction sites on the H1N1 genome.

<p>The predicted miRNA interaction site in the H1N1 genome (JX309814/5/6A/Singapore/TT454/20; CY064724/29/30A/MexicoCity/022/2009; CY045232/3/4A/Taiwan/126/2009) and the miRNA seed regions are highlighted in bold. The sequences were obtained from NCBI. The corresponding accession numbers of the segments are denoted by the first eight letters/numbers in the label. The corresponding segments of H3N2 sequences (CY091229/24/35A/Singapore/NHRC0012; EF554793/4/5A/Ohio/2006; CY121792/7/8A/Brisbane/11/2010) are also shown. * refers to nucleotides which are fully conserved: indicates strong conservation within H1N1 and H3N2 whereas. indicates weak conservation within H1N1 and H3N2.</p

FluMob: Enabling Surveillance of Acute Respiratory Infections in Health-care Workers via Mobile Phones

Singapore is a hotspot for emerging infectious diseases and faces a constant risk of pandemic outbreaks as a major travel and health hub for Southeast Asia. With an increasing penetration of smart phone usage in this region, Singapore’s pandemic preparedness framework can be strengthened by applying a mobile-based approach to health surveillance and control, and improving upon existing ideas by addressing gaps, such as a lack of health communication. FluMob is a digitally integrated syndromic surveillance system designed to assist health authorities in obtaining real-time epidemiological and surveillance data from health-care workers (HCWs) within Singapore, by allowing them to report influenza incidence using smartphones. The system, integrating a fully responsive web-based interface and a mobile interface, is made available to HCW using various types of mobile devices and web browsers. Real-time data generated from FluMob will be complementary to current health-care- and laboratory-based systems. This paper describes the development of FluMob, as well as challenges faced in the creation of the system.MOH (Min. of Health, S’pore)Published versio