Evidence map›Paper›PMID 26727249›Full record

ArticleAnalytical chemistry2016

A Diffusion-Based and Dynamic 3D-Printed Device That Enables Parallel in Vitro Pharmacokinetic Profiling of Molecules.

Sarah Y Lockwood, Jayda E Meisel, Frederick J Monsma, Dana M Spence

Abstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Digital Manufacturing for Microfluidics.Annual review of biomedical engineering · 2019
    Review
  8. Article
  9. 3D-printed miniaturized fluidic tools in chemistry and biology.Trends in analytical chemistry : TRAC · 2018
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
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.

Sarah Y LockwoodDepartment of Chemistry, Michigan State University , East Lansing, Michigan 48824, United States.
Jayda E MeiselDepartment of Chemistry, Michigan State University , East Lansing, Michigan 48824, United States.
Frederick J MonsmaMerck Research Laboratories , Kenilworth, New Jersey 07033, United States.
Dana M SpenceDepartment of Chemistry, Michigan State University , East Lansing, Michigan 48824, United States.

Funding

Spatial SILAC: Examining the Proteome in 3D Cell CulturesR01GM110406 · NIGMS · UNIVERSITY OF NOTRE DAME · PI HUMMON, AMANDA B. · 2014 to 2022
$3.0M
NIGMS NIH HHS R01 GM110406NIGMS NIH HHS R01-GM110406
6 · The paper itself

Abstract

The process of bringing a drug to market involves many steps, including the preclinical stage, where various properties of the drug candidate molecule are determined. These properties, which include drug absorption, distribution, metabolism, and excretion, are often displayed in a pharmacokinetic (PK) profile. While PK profiles are determined in animal models, in vitro systems that model in vivo processes are available, although each possesses shortcomings. Here, we present a 3D-printed, diffusion-based, and dynamic in vitro PK device. The device contains six flow channels, each with integrated porous membrane-based insert wells. The pores of these membranes enable drugs to freely diffuse back and forth between the flow channels and the inserts, thus enabling both loading and clearance portions of a standard PK curve to be generated. The device is designed to work with 96-well plate technology and consumes single-digit milliliter volumes to generate multiple PK profiles, simultaneously. Generation of PK profiles by use of the device was initially performed with fluorescein as a test molecule. Effects of such parameters as flow rate, loading time, volume in the insert well, and initial concentration of the test molecule were investigated. A prediction model was generated from this data, enabling the user to predict the concentration of the test molecule at any point along the PK profile within a coefficient of variation of ∼ 5%. Depletion of the analyte from the well was characterized and was determined to follow first-order rate kinetics, indicated by statistically equivalent (p > 0.05) depletion half-lives that were independent of the starting concentration. A PK curve for an approved antibiotic, levofloxacin, was generated to show utility beyond the fluorescein test molecule.

Indexed as

DiffusionMicrofluidic Analytical TechniquesPrinting, Three-DimensionalAnimalsAnti-Bacterial AgentsDrug Evaluation, PreclinicalKineticsLevofloxacinModels, AnimalAnti-Bacterial AgentsLevofloxacin

Identifiers

PMID26727249
PMCPMC5296943

What OpenQuestion holds

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Registered trials

None linked

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.