Evidence map›Paper›PMID 29725045›Full record

ArticleScientific reports2018

Solvation-Guided Design of Fluorescent Probes for Discrimination of Amyloids.

Kevin J Cao, Kristyna M Elbel, Jessica L Cifelli, Jordi Cirera, Christina J Sigurdson, Francesco Paesani, Emmanuel A Theodorakis, Jerry Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Charge-Based Discrimination of Amyloids Using an Amyloid-Targeting Chemiluminescent Probe.Chembiochem : a European journal of chemical biology · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

8 authors at 1 institution in 2 countries.

Kevin J CaoDepartment of Chemistry and Biochemistry, UC San Diego, La Jolla, CA, 92093-0358, USA.
Kristyna M ElbelDepartment of Chemistry and Biochemistry, UC San Diego, La Jolla, CA, 92093-0358, USA.
Jessica L CifelliDepartment of Chemistry and Biochemistry, UC San Diego, La Jolla, CA, 92093-0358, USA.
Jordi CireraDepartment of Chemistry and Biochemistry, UC San Diego, La Jolla, CA, 92093-0358, USA.
Christina J SigurdsonDepartments of Pathology and Medicine, UC San Diego, La Jolla, CA, 92093-0612, USA.
Francesco PaesaniDepartment of Chemistry and Biochemistry, UC San Diego, La Jolla, CA, 92093-0358, USA.
Emmanuel A TheodorakisDepartment of Chemistry and Biochemistry, UC San Diego, La Jolla, CA, 92093-0358, USA.ORCID 0000-0001-9845-6919
Jerry YangDepartment of Chemistry and Biochemistry, UC San Diego, La Jolla, CA, 92093-0358, USA. jerryyang@ucsd.edu.ORCID 0000-0002-8423-7376
University of California San Diego · US

Funding

U of Calif, San Diego Neuroscience Microscopy ImagingP30NS047101 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLEESON, JOSEPH G, ZHENG, BINHAI · 2003 to 2022
$9.0M
Mechanisms of Prion Aggregation and Species BarriersR01NS069566 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ESKO, JEFFREY D, RAVITS, JOHN · 2011 to 2025
$5.7M
Mechanisms of Prion SpreadR01NS076896 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SIGURDSON, CHRISTINA · 2012 to 2021
$3.4M
Probing prion clearance through interstitial fluid and perivascular pathwaysR21NS110409 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SIGURDSON, CHRISTINA · 2018 to 2019
$433k
Molecular basis of spongiform encephalopathy in prion diseaseR21NS105498 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SIGURDSON, CHRISTINA · 2018 to 2019
$432k
NINDS NIH HHS P30 NS047101NINDS NIH HHS R01 NS069566NINDS NIH HHS R01 NS076896NINDS NIH HHS R21 NS105498NINDS NIH HHS R21 NS110409
6 · The paper itself

Abstract

The deposition of insoluble protein aggregates in the brain is a hallmark of many neurodegenerative diseases. While their exact role in neurodegeneration remains unclear, the presence of these amyloid deposits often precedes clinical symptoms. As a result, recent progress in imaging methods that utilize amyloid-specific small molecule probes have become a promising avenue for antemortem disease diagnosis. Here, we present a series of amino-aryl cyanoacrylate (AACA) fluorophores that show a turn-on fluorescence signal upon binding to amyloids in solution and in tissue. Using a theoretical model for environmental sensitivity of fluorescence together with ab initio computational modeling of the effects of polar environment on electron density distribution and conformational dynamics, we designed, synthesized, and evaluated a set of fluorophores that (1) bind to aggregated forms of Alzheimer's-related β-amyloid peptides with low micromolar to high nanomolar affinities and (2) have the capability to fluorescently discriminate different amyloids based on differences in amino acid composition within the binding pocket through exploitation of their solvatochromic properties. These studies showcase the rational design of a family of amyloid-binding imaging agents that could be integrated with new optical approaches for the clinical diagnosis of amyloidoses, where accurate identification of the specific neurodegenerative disease could aid in the selection of a proper course for treatment.

Indexed as

AcylationAlzheimer DiseaseAminationAmyloidAmyloid beta-PeptidesBrainCyanoacrylatesFluorescent DyesHumansOptical ImagingPeptide FragmentsProtein Aggregation, PathologicalAmyloidAmyloid beta-Peptidesamyloid beta-protein (1-42)CyanoacrylatesFluorescent DyesPeptide Fragments

Identifiers

PMID29725045
PMCPMC5934448
OpenAlexW2807521104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.