Evidence map›Paper›PMID 25152773›Full record

ArticleClinical lipidology2012

Therapeutic potential of cyclodextrins in the treatment of Niemann-Pick type C disease.

Benny Liu

Abstract read
In one paragraph

Article in Clinical lipidology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

36 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Generation and characterization of human iPSC-derivedbioRxiv : the preprint server for biology · 2026
    Article
  3. Review
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  8. The buzz in the field: the interaction between viruses, mosquitoes, and metabolism.Frontiers in cellular and infection microbiology · 2023
    Review
  9. Organ Weights inInternational journal of molecular sciences · 2022
    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

1 author at 1 institution in 1 country.

Benny LiuThe University of Texas Southwestern Medical Center, Department of Internal Medicine, 5323 Harry Hines Blvd, Dallas, TX 75390-9151, USA, Tel.: +1 214 648 3447, , benny.liu@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · US

Funding

Disordered Cellular Cholesterol Movement, Cell Death, and Multisystem DiseaseR01HL009610 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI TURLEY, STEPHEN DEAN · 1985 to 2013
$7.5M
UT GASTROENTEROLOGY/HEPATOLOGY RESEARCH TRAINING PROGRAMT32DK007745 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Rodney E Infante · 1997 to 2026
$6.8M
NHLBI NIH HHS R01 HL009610NIDDK NIH HHS T32 DK007745
6 · The paper itself

Abstract

Niemann-Pick type C (NPC) disease is an autosomal recessive neurovisceral lipid and storage disorder characterized by abnormal sequestration of unesterified cholesterol within the late endosomal/lysosomal compartment of all cells in the body. This disease primarily affects children and is characterized by hepatic and pulmonary dysfunction, neurodegeneration and death at an early age. Currently, there is no effective treatment for NPC disease. It was recently discovered that 2-hydroxypropyl-β-cyclodextrin (2HPBCD), when administered systemically to a murine model of either NPC1 or NPC2 disease, significantly reduced lysosomal cholesterol accumulation in almost every organ, delayed the progression of neurodegeneration and significantly prolonged lifespan by allowing trapped cholesterol within the late endosome/lysosome to be released. When 2HPBCD was administered directly into the CNS of

Indexed as

cholesterolcyclodextrinlysosomal storage diseaseneurodegenerationNiemann–Pick type CPurkinje cell

Identifiers

PMID25152773
PMCPMC4138883
OpenAlexW1971365671

What OpenQuestion holds

Textmetadata
LicenceTDM
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.