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A paired-agent fluorescent molecular imaging strategy for quantifying antibody drug target engagement in in vivo window chamber xenograft models.
Kayaalp Nalbant, Elif; Rounds, Cody; Sadeghipour, Negar; Meng, Boyu; Folaron, Margaret R; Haldar, Chandrika; Strawbridge, Rendall R; Samkoe, Kimberley S; Davis, Scott C; Tichauer, Kenneth M.
Afiliação
  • Kayaalp Nalbant E; Biomedical Engineering, Illinois Institute of Technology, Chicago, IL.
  • Rounds C; Authors contributed equally.
  • Sadeghipour N; Biomedical Engineering, Illinois Institute of Technology, Chicago, IL.
  • Meng B; Authors contributed equally.
  • Folaron MR; Molecular Imaging Program at Stanford, Stanford University, Stanford, CA.
  • Haldar C; Thayer School of Engineering, Dartmouth College, Hanover, NH.
  • Strawbridge RR; Thayer School of Engineering, Dartmouth College, Hanover, NH.
  • Samkoe KS; Thayer School of Engineering, Dartmouth College, Hanover, NH.
  • Davis SC; Thayer School of Engineering, Dartmouth College, Hanover, NH.
  • Tichauer KM; Thayer School of Engineering, Dartmouth College, Hanover, NH.
Article em En | MEDLINE | ID: mdl-34183872
ABSTRACT
A paired-agent fluorescent molecular imaging strategy is presented as a method to measure drug target engagement in whole tumor imaging. The protocol involves dynamic imaging of a pair of targeted and control imaging agents prior to and following antibody therapy. Simulations demonstrated that antibody "drug target engagement" can be estimated within a 15%-error over a wide range of tumor physiology (blood flow, vascular permeability, target density) and antibody characteristics (affinity, binding rates). Experimental results demonstrated the first in vivo detection of binding site barrier, highlighting the potential for this methodology to provide novel insights in drug distribution/binding imaging.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article