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1、17th International Congress on Infectious Diseases / International Journal of Infectious Diseases 45S (2016) 147723Type: Oral PresentationFinal Abstract Number: 14.009Session:OralPresentations:EmergingInfectiousDiseases&OneHealthDate: Thursday, March 3, 2016Time: 15:45-17:45Room: G.05-06A synthetic
2、consensus anti-Spike protein DNAvaccine induces protective immunity againstMiddle East Respiratory Syndrome Coronavirusin non-human primatesK. Muthumani1, D. Falzarano2, E.L. Reuschel1,K. Kraynyak3, K. Ugen4, P. Kim5, J. Maslow5, J.J.Kim3, N.Y. Sardesai3, G. Kobinger6, H.Feldmann7, D. Weiner81Perelm
3、an School of Medicine at the University ofPennsylvania, Philadelphia, USA2University of Saskatchewan, Saskatoon, Canada3Inovio Pharmaceuticals Inc, Plymouth Meeting, USA4University of South Florida Morsani College ofMedicine, Tampa, USA5GeneOne Life Science, Seoul, Korea, Republic of6Special Pathoge
4、ns, National MicrobiologyLaboratory, Winnipeg, MB, Canada7National Institute of Allergy and Infectious Diseases,National Institutes of Health, Hamilton, USA8University of Pennsylvania School of Medicine,Philadelphia, PA, USABackground: First identified in 2012, Middle East respiratorysyndrome (MERS)
5、 is caused by an emerging human coronavirus,which is distinct from SARS-CoV, and represents a novel memberof lineage C betacoronoviruses. Since its identification, MERS-CoVhas been linked to over 964 infections manifesting with severemorbidity and often mortality (i.e. approximately 400+ deaths) int
6、he Arabian Peninsula, Europe, in the US and in Korea. Human-to-human transmission has been documented with nosocomialtransmission appearing to be an important route of infection. ThesignificantrecentincreaseincasesofMERSintheMiddleEast,cou-pledwiththelackofeffectiveantiviraltherapiesorvaccinestotrea
7、tor prevent this infection are significant causes for concern.Methods & Materials: A synthetic DNA plasmid based vac-cine containing a full-length consensus MERS-S protein sequencewas constructed and the cellular and humoral immunogenicityof MERS-vaccine was evaluated in mice, macaues, and camels.Fo
8、llowing immunization, NHPs were challenged with infectiousMERS-CoV(EMC/2012)andmonitoredforsignsofinfectionbyclin-icalscoringandexaminations.ViralloadwasmeasuredbyqRT-PCRand tissue sections were stained with H&E.Results: An optimized DNA vaccine encoding the MERS spikeproteininducedpotentcellularimm
9、unityandantigenspecificneu-tralizing antibodies in mice, macaques and camels. Vaccinatedrhesus macaque monkeys seroconverted rapidly and exhibitedhigh levels of virus-neutralizing activity. Upon MERS viral chal-lengeallofthemonkeysinthecontrol-vaccinatedgroupdevelopedcharacteristic disease, includin
10、g pneumonia. Vaccinated macaqueswere protected and failed to demonstrate any clinical or radio-graphic signs of pneumonia.Conclusion: A consensus DNA MERS-vaccine was able to gen-erate both a strong T cell and neutralizing antibody response inmultipleanimalmodels,includingcamels,anaturalhostforMERS-
11、CoV and a probable source of human infection. MERS-vaccine wasalso able to protect NHPs from an infectious MERS-CoV challenge.These results demonstrate the promise of this consensus DNAMERS-vaccine as a candidate for vaccine modality against thisemerging pathogen.http:/dx.doi.org/10.1016/j.ijid.2016
12、.02.083Type: Oral PresentationFinal Abstract Number: 14.011Session:OralPresentations:EmergingInfectiousDiseases&OneHealthDate: Thursday, March 3, 2016Time: 15:45-17:45Room: G.05-06Climate change and disease dynamics - A bigdata perspectiveD. Lopez1, G. Sekaran2,1VIT University, vellore, Tamil Nadu,
13、India2VIT University, Vellore, IndiaBackground: The objective of this research is to predict dis-ease scenarios based on environmental conditions change andclimatic variability by combining regional climate models withmathematicalmodelsfordiseasetransmission.Malariaanddenguefever are the most import
14、ant vector borne diseases in the trop-ical and sub-tropicalcountries. Integration of large repositoriesof geospatial and health data derived from traditional stream asvitalstatistics,surveillanceandhospitalization,andnon-traditionalsourcesincludingsocialmedianetworksprovidevaluableinsights into the
15、spatio-temporal determinants of health andwellbeing.Methods & Materials: Data on infectious affected by vectorborne diseases (Malaria) are collected from various private andpublic health centres, for the period starting January 1998 toDecember 2013 in Tamil Nadu, India. Daily weather data is col-lec
16、ted from Regional Meteorological Centre, Chennai (Figure 1).The suggested approach is implemented as a Big Data system usinglambda architecture and MapReduce data processing model (Fig-ure 2). Pearson correlation coefficient is computed in the proposedframework to find the climatic factors that grea
17、tly influence thetransmission of the vector borne diseases.Results: This paper proposes a new architecture for modelingtheclimatechangeandvectorbornediseasesinreal-time.Avarietyof big data analytical algorithms and data visualization approacheswere used in the proposed big data based disease surveillancesystem to present the geographic regions at risk during this cen-tury. We found that maximum temperature is positively correlatedwhile incidences of malaria and minimum temperature, wind,
