Evidence map›Paper›PMID 26202279›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2015

Applications of ApoB LDLR-Binding Domain Approach for the Development of CNS-Penetrating Peptides for Alzheimer's Disease.

Eliezer Masliah, Brian Spencer

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Immunotherapies for Aging-Related Neurodegenerative Diseases-Emerging Perspectives and New Targets.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020
    Review
  9. Article
  10. Article
  11. Quantum dots and potential therapy for Krabbe's disease.Journal of neuroscience research · 2016
    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

2 authors.

Eliezer MasliahDepartments of Neuroscience and Pathology, University of California-San Diego, La Jolla, CA, USA.
Brian Spencer

Funding

Viral VectorsP01AG010435 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TUSZYNSKI, MARK H. · 1991 to 2014
$20.9M
B-Synuclein as a Treatment for Lewy Body DiseaseR01AG018440 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RISSMAN, ROBERT · 2001 to 2021
$5.2M
a-synuclein clearance strategies for the treatment of Lewy body disease.R37AG018440 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MASLIAH, ELIEZER · 2006 to 2014
$2.7M
NIA NIH HHS AG10435NIA NIH HHS AG18440NIA NIH HHS P01 AG010435NIA NIH HHS R01 AG018440NIA NIH HHS R37 AG018440
6 · The paper itself

Abstract

Delivery of protein therapeutics to the CNS has proven to be a challenge to due to the presence of the blood-brain barrier (BBB), which prevents the passage of most proteins and large molecules from invading the neuronal space. Recently, we, and others, have developed technologies to circumvent this barrier by targeting receptors on the surface of the endothelial cells of the BBB to facilitate transport of therapeutic proteins. We describe here one such approach for targeting the LDLR by fusion of 38 amino acids from the ApoB protein to a therapeutic protein.

Indexed as

Alzheimer DiseaseAmino Acid SequenceAnimalsApolipoproteins BBase SequenceBlood-Brain BarrierBrainCell-Penetrating PeptidesCloning, MolecularDrug Delivery SystemsEndothelial CellsHumansMolecular Sequence DataProtein Structure, TertiaryProtein TransportReceptors, LDLApolipoproteins BCell-Penetrating PeptidesReceptors, LDLRecombinant Fusion Proteins

Identifiers

PMID26202279
PMCPMC4928629

What OpenQuestion holds

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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.