Evidence map›Paper›PMID 30213915›Full record

ArticleScience (New York, N.Y.)2018

Semisynthetic sensor proteins enable metabolic assays at the point of care.

Qiuliyang Yu, Lin Xue, Julien Hiblot, Rudolf Griss, Sebastian Fabritz, Clothilde Roux, Pierre-Alain Binz, Dorothea Haas, Jürgen G Okun, Kai Johnsson

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 157 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Tandem metabolic reaction-based sensors unlock in vivo metabolomics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Fast Label-Free Metabolic Profile Recognition Identifies Phenylketonuria and Subtypes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Chemoproteomics Yields a Selective Molecular Host for Acetyl-CoA.Journal of the American Chemical Society · 2023
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Qiuliyang YuDepartment of Chemical Biology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.ORCID 0000-0001-5877-6547
Lin XueDepartment of Chemical Biology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.ORCID 0000-0002-4540-3386
Julien HiblotDepartment of Chemical Biology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.ORCID 0000-0002-7883-8079
Rudolf GrissÉcole Polytechnique Fédérale de Lausanne, Institute of Chemical Sciences and Engineering, NCCR in Chemical Biology, 1015 Lausanne, Switzerland.
Sebastian FabritzDepartment of Chemical Biology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.ORCID 0000-0001-5453-1323
Clothilde RouxUniversity Hospital of Lausanne, Service of Biomedicine, Clinical Chemistry Laboratory, 1011 Lausanne, Switzerland.
Pierre-Alain BinzUniversity Hospital of Lausanne, Service of Biomedicine, Clinical Chemistry Laboratory, 1011 Lausanne, Switzerland.ORCID 0000-0002-0045-7698
Dorothea HaasUniversity Children's Hospital Heidelberg, Center for Metabolic Diseases, Metabolic Laboratory, 69120 Heidelberg, Germany.
Jürgen G OkunUniversity Children's Hospital Heidelberg, Center for Metabolic Diseases, Metabolic Laboratory, 69120 Heidelberg, Germany.
Kai JohnssonDepartment of Chemical Biology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany. johnsson@mr.mpg.de.
Max Planck Institute for Medical Research · DEHeidelberg University · DEUniversity of Lausanne · CHÉcole Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring metabolites at the point of care could improve the diagnosis and management of numerous diseases. Yet for most metabolites, such assays are not available. We introduce semisynthetic, light-emitting sensor proteins for use in paper-based metabolic assays. The metabolite is oxidized by nicotinamide adenine dinucleotide phosphate, and the sensor changes color in the presence of the reduced cofactor, enabling metabolite quantification with the use of a digital camera. The approach makes any metabolite that can be oxidized by the cofactor a candidate for quantitative point-of-care assays, as shown for phenylalanine, glucose, and glutamate. Phenylalanine blood levels of phenylketonuria patients were analyzed at the point of care within minutes with only 0.5 microliters of blood. Results were within 15% of those obtained with standard testing methods.

Indexed as

Bioluminescence Resonance Energy Transfer TechniquesBiosensing TechniquesPoint-of-Care TestingBlood GlucoseEscherichia coli ProteinsGlutamic AcidHumansMonitoring, PhysiologicNADPOxidation-ReductionPhenylalaninePhenylketonuriasTetrahydrofolate DehydrogenaseBlood GlucoseEscherichia coli ProteinsGlutamic AcidNADPPhenylalanineTetrahydrofolate Dehydrogenase

Identifiers

PMID30213915
OpenAlexW2890084910

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.