Evidence map›Paper›PMID 27147293›Full record

ArticleScientific reports2016

Mechanistic and quantitative insight into cell surface targeted molecular imaging agent design.

Liang Zhang, Sumit Bhatnagar, Emily Deschenes, Greg M Thurber

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  4. Lessons learned in application driven imaging agent design for image-guided surgery.European journal of nuclear medicine and molecular imaging · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Liang ZhangDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, US.
Sumit BhatnagarDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, US.
Emily DeschenesDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, US.
Greg M ThurberDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, US.

Funding

Whole Body Imaging of Beta Cell Mass in DiabetesK01DK093766 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THURBER, GREG · 2011 to 2014
$641k
NIDDK NIH HHS K01 DK093766
6 · The paper itself

Abstract

Molecular imaging agent design involves simultaneously optimizing multiple probe properties. While several desired characteristics are straightforward, including high affinity and low non-specific background signal, in practice there are quantitative trade-offs between these properties. These include plasma clearance, where fast clearance lowers background signal but can reduce target uptake, and binding, where high affinity compounds sometimes suffer from lower stability or increased non-specific interactions. Further complicating probe development, many of the optimal parameters vary depending on both target tissue and imaging agent properties, making empirical approaches or previous experience difficult to translate. Here, we focus on low molecular weight compounds targeting extracellular receptors, which have some of the highest contrast values for imaging agents. We use a mechanistic approach to provide a quantitative framework for weighing trade-offs between molecules. Our results show that specific target uptake is well-described by quantitative simulations for a variety of targeting agents, whereas non-specific background signal is more difficult to predict. Two in vitro experimental methods for estimating background signal in vivo are compared - non-specific cellular uptake and plasma protein binding. Together, these data provide a quantitative method to guide probe design and focus animal work for more cost-effective and time-efficient development of molecular imaging agents.

Indexed as

AnimalsCell LineComputer SimulationDrug DesignHumansMiceModels, BiologicalMolecular ImagingMolecular ProbesReceptors, Cell SurfaceMolecular ProbesReceptors, Cell Surface

Identifiers

PMID27147293
PMCPMC4857130

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.