Evidence map›Paper›PMID 23653225›Full record

ArticleJournal of inherited metabolic disease2014

Human and mouse neuroinflammation markers in Niemann-Pick disease, type C1.

Stephanie M Cologna, Celine V M Cluzeau, Nicole M Yanjanin, Paul S Blank, Michelle K Dail, Stephan Siebel, Cynthia L Toth, Christopher A Wassif, Andrew P Lieberman, Forbes D Porter

Open access · greenAbstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Neuropsychological assessment in Niemann-Pick disease type C: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

10 authors at 3 institutions in 1 country.

Stephanie M ColognaProgram in Developmental Endocrinology and Genetics, Section on Molecular Dysmorphology, NICHD, NIH, DHHS, Bld. 10, Rm. 9D42, 10 Center Dr, Bethesda, MD, 20892, USA.
Celine V M Cluzeau
Nicole M Yanjanin
Paul S Blank
Michelle K Dail
Stephan Siebel
Cynthia L Toth
Christopher A Wassif
Andrew P Lieberman
Forbes D Porter
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USUnited States Department of Health and Human Services · USUniversity of Michigan–Ann Arbor · US

Funding

Mechanisms and Intracellular Components in Exocytosis, Membrane Assembly and Repair, and Parasite ReplicationZIAHD001415 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ZIMMERBERG, JOSHUA · 2009 to 2025
$26.0M
Inborn Errors of Cholesterol SynthesisZIAHD000139 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI PORTER, FORBES · 2009 to 2019
$11.7M
Clinical Investigations of Niemann-Pick Disease, type CZIAHD008824 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI PORTER, FORBES · 2009 to 2019
$5.2M
Unraveling mechanisms of Niemann-Pick C neuropathology with mouse modelsR01NS063967 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2009 to 2020
$4.4M
Intramural NIH HHS ZIA HD000139Intramural NIH HHS ZIA HD008824NINDS NIH HHS R01 NS063967
6 · The paper itself

Abstract

Niemann-Pick disease, type C1 (NPC1) is an autosomal recessive lipid storage disorder in which a pathological cascade, including neuroinflammation occurs. While data demonstrating neuroinflammation is prevalent in mouse models, data from NPC1 patients is lacking. The current study focuses on identifying potential markers of neuroinflammation in NPC1 from both the Npc1 mouse model and NPC1 patients. We identified in the mouse model significant changes in expression of genes associated with inflammation and compared these results to the pattern of expression in human cortex and cerebellar tissue. From gene expression array analysis, complement 3 (C3) was increased in mouse and human post-mortem NPC1 brain tissues. We also characterized protein levels of inflammatory markers in cerebrospinal fluid (CSF) from NPC1 patients and controls. We found increased levels of interleukin 3, chemokine (C-X-C motif) ligand 5, interleukin 16 and chemokine ligand 3 (CCL3), and decreased levels of interleukin 4, 10, 13 and 12p40 in CSF from NPC1 patients. CSF markers were evaluated with respect to phenotypic severity. Miglustat treatment in NPC1 patients slightly decreased IL-3, IL-10 and IL-13 CSF levels; however, further studies are needed to establish a strong effect of miglustat on inflammation markers. The identification of inflammatory markers with altered levels in the cerebrospinal fluid of NPC1 patients may provide a means to follow secondary events in NPC1 disease during therapeutic trials.

Indexed as

Gene Expression Regulation1-DeoxynojirimycinAdolescentAllelesAnimalsBiomarkersBrainCerebellumCerebral CortexChemokine CCL3Chemokine CXCL5ChildChild, PreschoolComplement C3Disease Models, AnimalFemale1-DeoxynojirimycinBiomarkersChemokine CCL3Chemokine CXCL5Complement C3Interleukinsmiglustat

Identifiers

PMID23653225
PMCPMC3877698
OpenAlexW2043929943

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.