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Microbiology: Current Research

Volume 2

International Conference on

Emerging Diseases, Outbreaks & Case Studies

&

16

th

Annual Meeting on

March 28-29, 2018 | Orlando, USA

Influenza

T

he only cost-effective protection against influenza is

vaccination. Due to rapid mutation continuously, new

subtypes appear which require annual immunization. For

a correct vaccination recommendation, the circulating

influenza strains have to be detected promptly and exactly

and characterized regarding their antigenic properties. Due

to recurring incidents of vaccine mismatches, there is a great

need to speed up the process chain from identifying the

right vaccine strains to their administration. The monitoring

of subtypes as part of this process chain is carried out by

national reference laboratories within the WHO Global

Influenza Surveillance and Response System (GISRS). To this

end, thousands of viruses from patient samples (e.g. throat

smears) are isolated and analyzed each year. Currently, this

analysis involves complex and time-intensive (several weeks)

animal experiments to produce specific hyper immune sera

in ferrets, which are necessary for the determination of

the antigen profiles of circulating virus strains. These tests

also bear difficulties in standardization and reproducibility,

which restricts the significance of the results. To replace this

test, a peptide-based assay for influenza virus subtyping is

developed. The differentiation of the viruses takes place by

a set of specifically designed peptidic recognition molecules

which interact differently with the different influenza

virus subtypes. The differentiation of influenza subtypes

is performed by pattern recognition guided by machine

learning algorithms, without any animal experiments.

Speaker Biography

Henry Memczak has studied Nanotechnology at the University of Kassel, Germany and

completed his PhD in Biochemistry in 2014 at the University of Potsdam, Germany and

the Fraunhofer Institute for Cell Therapy and Immunology, Germany. He has worked

on the development of analytical biosensors for influenza detection and methods

for Peptide-Based Bio Interaction Analysis for several years, he did\ publishing in

published several papers, holds two patents and Co-founded the company QPA Bio

Analytics GmbH for the commercialization of novel peptide biochips. For his dedicated

translational research, he received several Awards and Scholarships.

e:

memczak@uni-potsdam.de

Discrimination of subtypes for influenza surveillance using a peptide-based detection platform(flu type)

Henry Memczak, Marc Hovestädt, Bernhard A Y, Sandra Sänger, Jan Grzegorzewski, Matthias König, Thorsten Wolff

and

Frank F Bier

University of Potsdam, Germany