Evidence map›Paper›PMID 29893502›Full record

ArticleAngewandte Chemie (International ed. in English)2018

Biocomputing for Portable, Resettable, and Quantitative Point-of-Care Diagnostics: Making the Glucose Meter a Logic-Gate Responsive Device for Measuring Many Clinically Relevant Targets.

Jingjing Zhang, Yi Lu

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 85 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Construction and Application of DNAzyme-based Nanodevices.Chemical research in Chinese universities · 2023
    Review
  5. Device integration of electrochemical biosensors.Nature reviews bioengineering · 2023
    Review
  6. Article
  7. Catalyst-based biomolecular logic gates.Catalysts (Basel, Switzerland) · 2022
    Article
  8. Review
  9. Noise logic with an InGaN/SiNScientific reports · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Biosensing with DNAzymes.Chemical Society reviews · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. DNA Origami-Enabled Biosensors.Sensors (Basel, Switzerland) · 2020
    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

2 authors at 1 institution in 1 country.

Jingjing ZhangDepartment of Chemistry, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID 0000-0002-1041-793X
Yi LuDepartment of Chemistry, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID 0000-0003-1221-6709
University of Illinois Urbana-Champaign · US

Funding

Novel DNAzyme sensors for lithium and sodium to understand cellular and molecular mechanisms of lithium treatment of bipolar disorderR21MH110975 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LU, YI · 2016 to 2017
$401k
A rapid and portable test for home monitoring of phenylalanine levels by patients with phenylketonuria using a blood glucose meterR43HD092155 · NICHD · GLUCOSENTIENT, INC. · PI LAN, TIAN · 2017 to 2017
$224k
Developing an Affordable and Pocketable POC Device for Monitoring Lithium and Sodium in Patients with Bipolar DisorderR41MH111337 · NIMH · GLUCOSENTIENT, INC. · PI LAN, TIAN · 2016 to 2016
$211k
NICHD NIH HHS R43 HD092155NIMH NIH HHS R21 MH110975NIMH NIH HHS R41 MH111337
6 · The paper itself

Abstract

It is recognized that biocomputing can provide intelligent solutions to complex biosensing projects. However, it remains challenging to transform biomolecular logic gates into convenient, portable, resettable and quantitative sensing systems for point-of-care (POC) diagnostics in a low-resource setting. To overcome these limitations, the first design of biocomputing on personal glucose meters (PGMs) is reported, which utilizes glucose and the reduced form of nicotinamide adenine dinucleotide as signal outputs, DNAzymes and protein enzymes as building blocks, and demonstrates a general platform for installing logic-gate responses (YES, NOT, INHIBIT, NOR, NAND, and OR) to a variety of biological species, such as cations (Na

Indexed as

Biosensing TechniquesBlood Glucose Self-MonitoringPoint-of-Care SystemsAnemia, HemolyticGlucoseHumansHypernatremiaHyponatremiaGlucosebiosensingDNAenzyme cascadesglucose meterpoint-of-care testing

Identifiers

PMID29893502
PMCPMC6261302
OpenAlexW2808527483

What OpenQuestion 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 OpenQuestion graph.