Evidence map›Paper›PMID 26721524›Full record

ArticleJournal of diabetes science and technology2016

Development of a Microsphere-Based System to Facilitate Real-Time Insulin Monitoring.

Lindy Kahanovitz, Erkin Seker, Robert S Marks, Martin L Yarmush, Tania Konry, Steven J Russell

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

6 authors at 4 institutions in 2 countries.

Lindy KahanovitzDepartment of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel Diabetes Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Erkin SekerCenter for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, Shriners Burns Institute, Boston, MA, USA Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, USA.
Robert S MarksDepartment of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel.
Martin L YarmushCenter for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, Shriners Burns Institute, Boston, MA, USA.
Tania KonryCenter for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, Shriners Burns Institute, Boston, MA, USA Department of Pharmaceutical Sciences, Northeastern University, Boston, MA, USA.
Steven J RussellDiabetes Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA sjrussell@mgh.harvard.edu.
Ben-Gurion University of the Negev · ILMassachusetts General Hospital · USNortheastern University · USUniversity of California, Davis · US

Funding

Bio-MicroElectroMechanical Systems Resource CenterP41EB002503 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2004 to 2018
$17.4M
NIBIB NIH HHS P41 EB002503
6 · The paper itself

Abstract

backgroundThe speed of insulin absorption after subcutaneous delivery is highly variable. Incorrect assumptions about insulin pharmacokinetics compromise effective glycemic regulation. Our ultimate goal is to develop a system to monitor insulin levels in vivo continuously, allowing pharmacokinetic parameters to be calculated in real time. We hypothesize that a bead-based detection system can be run on a flow-through microfluidic platform to measure insulin in subcutaneous fluid sampled via microdialysis. As a first step in development, we focused on microsphere-based measurement of insulin.

methodsPolystyrene microspheres coated with an anti-insulin monoclonal antibody were exposed to insulin-containing solutions, and after addition of a fluorescently labeled anti-insulin monoclonal antibody with a distinct epitope, bead-associated fluorescence was detected by fluorescence microscopy in 96-well plates or in a flow-through, microfluidic platform.

resultsThe bead detection system in plates had a linear range in buffer for regular human insulin (RHI), insulin lispro, and insulin aspart of 15-1115 µIU/ml, 14-976 µIU/ml, and 25-836 µIU/ml, respectively. Measurement on plasma samples demonstrated proportionality between basal and peak insulin levels similar to the laboratory reference method. Preliminary results in a polydimethylsiloxane-based, flow-through, microfluidic platform showed a strong signal at peak insulin levels.

conclusionsWe have developed a microsphere-based system to rapidly measure levels of insulin and insulin analogs. We have further demonstrated proof of concept that this bead detection system can be implemented in a lab-on-a-chip format, which will be further developed and combined with microdialysis for real-time monitoring of insulin in vivo.

Indexed as

Lab-On-A-Chip DevicesMicrospheresHumansHypoglycemic AgentsInsulinMicrofluidic Analytical TechniquesHypoglycemic AgentsInsulininsulininsulin analogsmicrofluidicmicrospherepharmacokinetics

Identifiers

PMID26721524
PMCPMC5038538
OpenAlexW2205526754

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.