Evidence map›Paper›PMID 27285482›Full record

ArticleJournal of the American Chemical Society2016

Copper Capture in a Thioether-Functionalized Porous Polymer Applied to the Detection of Wilson's Disease.

Sumin Lee, Gokhan Barin, Cheri M Ackerman, Abigael Muchenditsi, Jun Xu, Jeffrey A Reimer, Svetlana Lutsenko, Jeffrey R Long, Christopher J Chang

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.8field-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

23 citing papers in PubMed, 173 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Selective removal of copper from complex biological media with an agarose-immobilized high-affinity PSP ligand.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2024
    Article
  7. Article
  8. Copper regulates the host innate immune response against bacterial infection via activation of ALPK1 kinase.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Porous Polymers Containing Metallocalix[4]arene for the Extraction of Tobacco-Specific Nitrosamines.Chemistry of materials : a publication of the American Chemical Society · 2022
    Article
  13. Article
  14. Review
  15. A Simple Colorimetric Assay for Sensitive CuFrontiers in chemistry · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. 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

9 authors at 1 institution in 1 country.

Sumin Lee
Gokhan Barin
Cheri M Ackerman
Abigael MuchenditsiDepartment of Physiology, Johns Hopkins University, School of Medicine , Baltimore, Maryland 21205, United States.
Jun Xu
Jeffrey A Reimer
Svetlana LutsenkoDepartment of Physiology, Johns Hopkins University, School of Medicine , Baltimore, Maryland 21205, United States.
Jeffrey R Long
Christopher J Chang
Johns Hopkins University · US

Funding

Translational Research Enhancement CoreP30DK089502 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI KOVBASNJUK, OLGA · 2011 to 2020
$12.0M
Molecular Imaging Probes To Study Redox BiologyR01GM079465 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Christopher J. Chang · 2006 to 2026
$7.8M
Univ of Calif Berkeley Chemistry-Biology Interface ProgramT32GM066698 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHANG, CHRISTOPHER J., FRANCIS, MATTHEW B · 2004 to 2023
$7.5M
NIDDK NIH HHS P30 DK089502NIGMS NIH HHS R01 GM079465NIGMS NIH HHS T32 GM066698
6 · The paper itself

Abstract

Copper is an essential nutrient for life, but at the same time, hyperaccumulation of this redox-active metal in biological fluids and tissues is a hallmark of pathologies such as Wilson's and Menkes diseases, various neurodegenerative diseases, and toxic environmental exposure. Diseases characterized by copper hyperaccumulation are currently challenging to identify due to costly diagnostic tools that involve extensive technical workup. Motivated to create simple yet highly selective and sensitive diagnostic tools, we have initiated a program to develop new materials that can enable monitoring of copper levels in biological fluid samples without complex and expensive instrumentation. Herein, we report the design, synthesis, and properties of PAF-1-SMe, a robust three-dimensional porous aromatic framework (PAF) densely functionalized with thioether groups for selective capture and concentration of copper from biofluids as well as aqueous samples. PAF-1-SMe exhibits a high selectivity for copper over other biologically relevant metals, with a saturation capacity reaching over 600 mg/g. Moreover, the combination of PAF-1-SMe as a material for capture and concentration of copper from biological samples with 8-hydroxyquinoline as a colorimetric indicator affords a method for identifying aberrant elevations of copper in urine samples from mice with Wilson's disease and also tracing exogenously added copper in serum. This divide-and-conquer sensing strategy, where functional and robust porous materials serve as molecular recognition elements that can be used to capture and concentrate analytes in conjunction with molecular indicators for signal readouts, establishes a valuable starting point for the use of porous polymeric materials in noninvasive diagnostic applications.

Indexed as

PolymersSulfidesAnimalsCopperDisease Models, AnimalHepatolenticular DegenerationMiceMolecular StructurePorositySensitivity and SpecificityCopperPolymersSulfides

Identifiers

PMID27285482
PMCPMC5555401
OpenAlexW2414206956

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.