Evidence map›Paper›PMID 31579825›Full record

ArticleScience advances2019

Point-of-care biomarker quantification enabled by sample-specific calibration.

Monica P McNerney, Yan Zhang, Paige Steppe, Adam D Silverman, Michael C Jewett, Mark P Styczynski

Abstract read
In one paragraph

Article in Science advances, 2019. 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. Development of a Rapid Automated Point-of-Care Test formedRxiv : the preprint server for health sciences · 2026
    Article
  4. Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026
    Article
  5. Article
  6. Gene circuit-based sensors.Fundamental research · 2025
    Review
  7. A Wearable In-Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Ratiometric Detection of ZnChemistry (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Article
  20. Article
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.

Monica P McNerneySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA.ORCID 0000-0001-7485-9211
Yan ZhangSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA.ORCID 0000-0003-0719-5456
Paige SteppeSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA.ORCID 0000-0002-3447-9393
Adam D SilvermanDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-1990-6609
Michael C JewettDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0003-2948-6211
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA.ORCID 0000-0002-1479-6658

Funding

Modeling metabolic dynamics and regulation in biological systemsR35GM119701 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STYCZYNSKI, MARK PHILIP-WALTER · 2016 to 2020
$1.6M
Synthetic biology-based detection of micronutrients with minimal equipmentR01EB022592 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI STYCZYNSKI, MARK PHILIP-WALTER · 2017 to 2020
$1.4M
NIBIB NIH HHS R01 EB022592NIGMS NIH HHS R35 GM119701
6 · The paper itself

Abstract

Easy-to-perform, relatively inexpensive blood diagnostics have transformed at-home healthcare for some patients, but they require analytical equipment and are not easily adapted to measuring other biomarkers. The requirement for reliable quantification in complex sample types (such as blood) has been a critical roadblock in developing and deploying inexpensive, minimal-equipment diagnostics. Here, we developed a platform for inexpensive, easy-to-use diagnostics that uses cell-free expression to generate colored readouts that are visible to the naked eye, yet quantitative and robust to the interference effects seen in complex samples. We achieved this via a parallelized calibration scheme that uses the patient sample to generate custom reference curves. We used this approach to quantify a clinically relevant micronutrient and to quantify nucleic acids, demonstrating a generalizable platform for low-cost quantitative diagnostics.

Indexed as

BiomarkersPoint-of-Care SystemsPoint-of-Care TestingBlood Chemical AnalysisCell-Free SystemHematologic TestsHome Care ServicesHumansReference StandardsReproducibility of ResultsBiomarkers

Identifiers

PMID31579825
PMCPMC6760921

What OpenQuestion holds

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LicenceCC BY-NC
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.