Evidence map›Paper›PMID 28452365›Full record

ArticleScientific reports2017

Pluronic based β-cyclodextrin polyrotaxanes for treatment of Niemann-Pick Type C disease.

Christopher J Collins, Bradley P Loren, Md Suhail Alam, Yawo Mondjinou, Joseph L Skulsky, Cheyenne R Chaplain, Kasturi Haldar, David H Thompson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-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

8 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  6. GdBioconjugate chemistry · 2018
    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

8 authors at 4 institutions in 1 country.

Christopher J CollinsDepartment of Chemistry, Purdue University, Multi-disciplinary Cancer Research Facility, 1203 W, State Street, West Lafayette, Indiana 47907, United States.
Bradley P LorenDepartment of Chemistry, Purdue University, Multi-disciplinary Cancer Research Facility, 1203 W, State Street, West Lafayette, Indiana 47907, United States.
Md Suhail AlamBoiler-Parseghian Center for Rare and Neglected Diseases, University of Notre Dame, Notre Dame, IN 46556, USA.
Yawo MondjinouDepartment of Chemistry, Purdue University, Multi-disciplinary Cancer Research Facility, 1203 W, State Street, West Lafayette, Indiana 47907, United States.
Joseph L SkulskyDepartment of Chemistry, Purdue University, Multi-disciplinary Cancer Research Facility, 1203 W, State Street, West Lafayette, Indiana 47907, United States.
Cheyenne R ChaplainDepartment of Chemistry, Purdue University, Multi-disciplinary Cancer Research Facility, 1203 W, State Street, West Lafayette, Indiana 47907, United States.
Kasturi HaldarBoiler-Parseghian Center for Rare and Neglected Diseases, University of Notre Dame, Notre Dame, IN 46556, USA.
David H ThompsonDepartment of Chemistry, Purdue University, Multi-disciplinary Cancer Research Facility, 1203 W, State Street, West Lafayette, Indiana 47907, United States.
Purdue University West Lafayette · USUniversity of Notre Dame · USCenter for Cancer Research · USState Street (United States) · US

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI John Tesmer · 1985 to 2026
$43.4M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Development of Long-circulating, Degradable Gd-Polyrotaxane MR AgentsR21EB017921 · NIBIB · PURDUE UNIVERSITY · PI THOMPSON, DAVID H · 2014 to 2015
$432k
NCATS NIH HHS UL1 TR001108NCI NIH HHS P30 CA023168NIBIB NIH HHS R21 EB017921
6 · The paper itself

Abstract

Niemann-Pick Type C disease (NPC) is a rare metabolic disorder characterized by disruption of normal cholesterol trafficking within the cells of the body. There are no FDA approved treatments available for NPC patients. Recently, the cycloheptaglucoside 2-hydroxypropyl-β-cyclodextrin (HP-β-CD) has shown efficacy as a potential NPC therapeutic by extending lifetime in NPC mice, delaying neurodegeneration, and decreasing visceral and neurological cholesterol burden. Although promising, systemic HP-β-CD treatment is limited by a pharmacokinetic profile characterized by rapid loss through renal filtration. To address these shortcomings, we sought to design a family of HP-β-CD pro-drug delivery vehicles, known as polyrotaxanes (PR), capable of increasing the efficacy of a given injected dose by improving both pharmacokinetic profile and bioavailability of the HP-β-CD agent. PR can effectively diminish the cholesterol pool within the liver, spleen, and kidney at molar concentrations 10-to-100-fold lower than monomeric HP-β-CD. In addition to this proof-of-concept, use of PR scaffolds with differing physiochemical properties reveal structure-activity relationships in which PR characteristics, including hydrophobicity, threading efficiency and surface charge, were found to both decisively and subtly effect therapeutic efficacy. PR scaffolds exhibit absorption, pharmacokinetics, and biodistribution patterns that are significantly altered from monomeric HP-β-CD. In all, PR scaffolds hold great promise as potential treatments for visceral disease in NPC patients.

Indexed as

2-Hydroxypropyl-beta-cyclodextrinAnimalsBiological AvailabilityCholesterolExcipientsMice, Inbred BALB CNiemann-Pick Disease, Type CPoloxamerProdrugsRotaxanesTissue DistributionTreatment Outcome2-Hydroxypropyl-beta-cyclodextrinCholesterolExcipientsPoloxamerProdrugsRotaxanes

Identifiers

PMID28452365
PMCPMC5408228
OpenAlexW2609404712

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.