Evidence map›Paper›PMID 33349659›Full record

ArticleNature biomedical engineering2021

A fluorescence sandwich immunoassay for the real-time continuous detection of glucose and insulin in live animals.

Mahla Poudineh, Caitlin L Maikawa, Eric Yue Ma, Jing Pan, Dan Mamerow, Yan Hang, Sam W Baker, Ahmad Beirami, Alex Yoshikawa, Michael Eisenstein and 4 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Insulin Detection Enabled by Sensors Employing Fluorescence Signal Amplification Strategy.Luminescence : the journal of biological and chemical luminescence · 2026
    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

14 authors.

Mahla Poudineh *Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
Caitlin L Maikawa *Department of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6214-1226
Eric Yue MaDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Jing PanDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6081-3204
Dan MamerowDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA.
Yan HangDepartment of Developmental Biology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5166-2480
Sam W BakerDepartment of Comparative Medicine, Stanford University, Stanford, CA, USA.
Ahmad BeiramiResearch Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-1998-5271
Alex YoshikawaDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Michael EisensteinDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Seung KimDepartment of Developmental Biology, Stanford University, Stanford, CA, USA.
Jelena VučkovićDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Eric A AppelDepartment of Bioengineering, Stanford University, Stanford, CA, USA. eappel@stanford.edu.ORCID http://orcid.org/0000-0002-2301-7126
H Tom SohDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. tsoh@stanford.edu.ORCID http://orcid.org/0000-0001-9443-857X

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Real-time biosensor for mapping the function of the pancreasOT2OD025342 · OD · STANFORD UNIVERSITY · PI SOH, HYONGSOK TOM · 2018 to 2021
$4.6M
Integrated Instrument for non-natural aptamer generationR01GM129313 · NIGMS · STANFORD UNIVERSITY · PI SOH, HYONGSOK TOM · 2018 to 2021
$1.3M
NIDDK NIH HHS P30 DK116074NIGMS NIH HHS R01 GM129313NIH HHS OT2 OD025342
6 · The paper itself

Abstract

Biosensors that continuously measure circulating biomolecules in real time could provide insights into the health status of patients and their response to therapeutics. But biosensors for the continuous real-time monitoring of analytes in vivo have only reached nanomolar sensitivity and can measure only a handful of molecules, such as glucose and blood oxygen. Here we show that multiple analytes can be continuously and simultaneously measured with picomolar sensitivity and sub-second resolution via the integration of aptamers and antibodies into a bead-based fluorescence sandwich immunoassay implemented in a custom microfluidic chip. After an incubation time of 30 s, bead fluorescence is measured using a high-speed camera under spatially multiplexed two-colour laser illumination. We used the assay for continuous quantification of glucose and insulin concentrations in the blood of live diabetic rats to resolve inter-animal differences in the pharmacokinetic response to insulin as well as discriminate pharmacokinetic profiles from different insulin formulations. The assay can be readily modified to continuously and simultaneously measure other blood analytes in vivo.

Indexed as

AnimalsBlood GlucoseDiabetes Mellitus, ExperimentalEquipment DesignFluorescent Antibody TechniqueInsulinMaleMicrofluidic Analytical TechniquesRatsRats, Sprague-DawleyBlood GlucoseInsulin

Identifiers

PMID33349659
PMCPMC7856282

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.