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SUMMARY:BioE COLLOQUIA SERIES:  "Design of siRNA-Loaded Lipidoid-Polymer H
 ybrid Nanoparticles for Local RNAi-Based Treatment of Chronic Obstructive 
 Pulmonary Disease (COPD)"
DTSTART:20191104T121500
DTSTAMP:20260916T064651Z
UID:b5b2ce1621e0bf16a7f4eb36b852e60aca0333b9886d709b69c34d35
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Camilla Foged\, University of Copenhagen (DK)\nWEEKLY BI
 OENGINEERING COLLOQUIA SERIES\n(sandwiches served)\n\nAbstract: \nTherapeu
 tics based on RNA interference (RNAi) are highly target-specific and promi
 sing for the treatment of serious diseases lacking definite clinical manag
 ement\, e.g. chronic obstructive pulmonary disease (COPD)\, characterized 
 by persistent airflow limitation and chronic airway inflammation\, progres
 sively leading to loss of airway function. The cytokine tumor necrosis fac
 tor (TNF)-α released by macrophages is associated with active inflammatio
 n during COPD. Currently\, no single\, definitive therapy exists against C
 OPD. However\, targeting cytokines via the RNA interference (RNAi) pathway
  is one approach for management of the early inflammatory phase in COPD. R
 NAi is mediated by small interfering RNA (siRNA)\, which is capable of ind
 ucing selective and highly potent gene silencing. However\, intracellular 
 delivery of siRNA to the RNAi pathway in the cytosol remains a challenge. 
 The efficacy of siRNA therapeutics is fully dependent on technologies that
  safely can facilitate intracellular delivery. We have made a major breakt
 hrough by inventing a delivery technology based on well-tolerated lipidoid
 -polymer hybrid nanoparticles (LPNs) with an unprecedented ability to deli
 ver siRNA to target tissues (1\,2). This technology is ten times more effi
 cient than state-of-the-art delivery systems and thus allows for dose redu
 ction\, which improves the safety profile and reduces cost of goods. We ar
 e using LPNs to silence key genes involved in COPD. We have proof-of-conce
 pt in vivo that LPNs loaded with siRNA against TNF-α can reduce experimen
 tal inflammation. This presentation focusses on how we solve fundamental s
 cientific and technical preclinical challenges necessary for the further d
 esign and progression of the siRNA-loaded LPNs from the preclinical stage 
 towards clinical testing. In particular\, I will focus on (i) how we have 
 applied a quality-by-design-based approach for the design and optimization
  of TNF-α siRNA-loaded LPNs for local RNAi-based treatment of COPD\, and 
 (ii) how to scale up the manufacture of powder-based dosage forms with pro
 perties suitable for inhalation (3). In addition\, I will present data pro
 viding a mechanistic profiling of the release kinetics of siRNA from LPNs 
 in vitro and in vivo after pulmonary administration (4). This knowledge co
 ntributes significantly to increasing our understanding of the basic requi
 rements for controlling and sustaining the delivery of the siRNA cargo to 
 lung tissue for local management of disease.\n \nReferences:\n1. Thanki K
 \, Zeng X\, Justesen S\, Tejlmann S\, Falkenberg E\, Van Driessche E\, Nie
 lsen HM\, Franzyk H\, Foged C. Engineering of small interfering RNA-loaded
  lipidoid-poly(DL-lactic-co-glycolic acid) hybrid nanoparticles for highly
  efficient and safe gene silencing: A quality by design-based approach. Eu
 r J Pharm Biopharm. 2017\;120:22-33.\n2. de Groot AM\, Thanki K\, Gangloff
  M\, Falkenberg E\, Zeng X\, van Bijnen DCJ\, van Eden W\, Franzyk H\, Nie
 lsen HM\, Broere F\, Gay NJ\, Foged C\, Sijts AJAM. Immunogenicity Testing
  of Lipidoids In Vitro and In Silico: Modulating Lipidoid-Mediated TLR4 Ac
 tivation by Nanoparticle Design. Mol Ther - Nucleic Acids. 2018\;11:159-16
 9.\n3. Dormenval C\, Lokras A\, Cano-Garcia G\, Wadhwa A\, Thanki K\, Rose
  F\, Thakur A\, Franzyk H\, Foged C. Identification of Factors of Importan
 ce for Spray Drying of Small Interfering RNA-Loaded Lipidoid-Polymer Hybri
 d Nanoparticles for Inhalation. Pharm Res. 2019\;36(10):142.\n4. Thanki K\
 , van ED\, Geyer A\, Fraire J\, Hendrix R\, Van EH\, Putteman E\, Sami H\,
  de SC-W\, Franzyk H\, Nielsen HM\, Braeckmans K\, Lehr CM\, Ogris M\, Fog
 ed C. Mechanistic profiling of the release kinetics of siRNA from lipidoid
 -polymer hybrid nanoparticles in vitro and in vivo after pulmonary adminis
 tration. J Control Release. 2019\;310:82-93.\n\nBio:\nCamilla Foged is Ful
 l Professor of Vaccine Design and Delivery at the Department of Pharmacy a
 t University of Copenhagen (since 2018)\, Denmark. Her main research area 
 is advanced drug delivery\, in particular design of new vaccine and nuclei
 c acid delivery systems to improve therapy. Drug delivery challenges are a
 ddressed using state-of-the-art technologies\, and this has fostered innov
 ative solutions and high-impact publications in drug delivery. Her researc
 h goal is to improve disease prevention and treatment in the fields of inf
 ectious and inflammatory diseases and cancer. These aims are approached by
  imaging-guided design of nanoparticle-based vaccine and nucleic acid form
 ulations\, and she engages in research projects spanning from early discov
 ery phase projects to first-in-man clinical studies. She is widely recogni
 zed nationally and internationally in the field of drug delivery\, and she
  has a well-established and extensive network of national and internationa
 l collaborators in academia and industry. Her research has been funded wit
 h more than EUR 8 million via prestigious and highly competitive grants. S
 he has an MSc in Biochemistry from University of Copenhagen (1998)\, and s
 he attained her PhD in Pharmaceutics in 2003 from The Danish University of
  Pharmaceutical Sciences. Prof. Foged has edited one book about subunit va
 ccine delivery\, and she has (co)authored more than 110 scientific papers/
 book chapters and 175 conference abstracts at national and international c
 onferences.\n\nZoom link for attending remotely: https://epfl.zoom.us/j/46
 1567156
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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