Cited by 50Neuroscience and Neuropharmacology ResearchReceptor Mechanisms and SignalingAmino Acid Enzymes and Metabolism

LRP1 is critical for the surface distribution and internalization of the NR2B NMDA receptor subtype

Open access
Maier, Wladislaw, Bednorz, Mariola, Meister, Sabrina, Roebroek, Anton, Weggen, Sascha, Schmitt, Ulrich, Pietrzik, Claus U·2013·Molecular Neurodegeneration

Abstract

Background: The N-methyl-D-aspartate receptors are key mediators of excitatory transmission and are implicated in many forms of synaptic plasticity. These receptors are heterotetrameres consisting of two obligatory NR1 and two regulatory subunits, usually NR2A or NR2B. The NR2B subunits are abundant in the early postnatal brain, while the NR2A/NR2B ratio increases during early postnatal development. This shift is driven by NMDA receptor activity. A functional interplay of the Low Density Lipoprotein Receptor Related Protein 1 (LRP1) NMDA receptor has already been reported. Such abilities as interaction of LRP1 with NMDA receptor subunits or its important role in tPa-mediated NMDA receptor signaling were already demonstrated. Moreover, mice harboring a conditional neuronal knock-out mutation of the entire Lrp1 gene display NMDA-associated behavioral changes. However, the exact role of LRP1 on NMDA receptor function remains still elusive. Results: To provide a mechanistic explanation for such effects we investigated whether an inactivating knock-in mutation into the NPxY2 motif of LRP1 might influence the cell surface expression of LRP1 and NMDA receptors in primary cortical neurons. Here we demonstrate that a knock-in into the NPxY2 motif of LRP1 results in an increased surface expression of LRP1 and NR2B NMDA receptor subunit due to reduced endocytosis rates of LRP1 and the NR2B subunit in primary neurons derived from LRP1ΔNPxY2 animals. Furthermore, we demonstrate an altered phosphorylation pattern of S1480 and Y1472 in the NR2B subunit at the surface of LRP1ΔNPxY2 neurons, while the respective kinases Fyn and casein kinase II are not differently regulated compared with wild type controls. Performing co-immunoprecipitation experiments we demonstrate that binding of LRP1 to NR2B might be linked by PSD95, is phosphorylation dependent and this regulation mechanism is impaired in LRP1ΔNPxY2 neurons. Finally, we demonstrate hyperactivity and changes in spatial and reversal learning in LRP1ΔNPxY2 mice, confirming the mechanistic interaction in a physiological readout. Conclusions: In summary, our data demonstrate that LRP1 plays a critical role in the regulation of NR2B expression at the cell surface and may provide a mechanistic explanation for the behavioral abnormalities detected in neuronal LRP1 knock-out animals reported earlier.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1750-1326-8-25

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Lrp1 interacts with the N-methyl-D-aspartate receptor (NMDAR), promoting endocytosis of NMDAR from the cell surface.

    “Lrp1 interacts with the N-methyl-D-aspartate receptor (NMDAR), promoting the endocytosis of NMDAR from the cell surface [19].”

    From ApoE, ApoE Receptors, and the Synapse in Alzheimer's Disease (2017) · cites this paper as [19]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Maier, W., Bednorz, M., Meister, S., Roebroek, A., Weggen, S., Schmitt, U., & Pietrzik, C. U.
Affiliations
  • Johannes Gutenberg University Mainz (DE)
  • KU Leuven (BE)
  • Heinrich Heine University Düsseldorf (DE)
Corresponding author
Pietrzik, Claus U
Venue
Molecular Neurodegeneration
Published
2013-07-17
Volume
8
Issue
1
Pages
25-25
ISSN
1750-1326 (ISSN-L)
OpenAlex
W2111550725
Cited by
50
References
54
Citations by year
2026: 3 · 2025: 3 · 2024: 2 · 2023: 4 · 2022: 1 · 2021: 3 · 2020: 4 · 2019: 4 · 2018: 3 · 2017: 8 · 2016: 7 · 2015: 3 · 2014: 5
FWCI
2.45
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Molecular Neurodegeneration (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Gutenberg Open Science (submittedVersion, cc-by-nd)
  • Gutenberg Open Science (cc-by)
Funders
Deutsche Forschungsgemeinschaft (FOR1332, 379/6-1)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Amino Acid Enzymes and Metabolism
Keywords
LRP1, endocytosis, NPXY motif, PSD-95, receptor phosphorylation, Fyn, casein kinase 2, cortical neurons, synaptic plasticity, spatial learning, reversal learning, hyperactivity, postnatal development
MeSH terms
Animals, Behavior, Animal, Cells, Cultured, Mice, Inbred C57BL, Neurons, Phosphorylation, Receptors, LDL, Blotting, Western, Receptors, N-Methyl-D-Aspartate, Maze Learning, Protein Transport, Tumor Suppressor Proteins, Low Density Lipoprotein Receptor-Related Protein-1, Immunoprecipitation, Mice, Gene Knock-In Techniques

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review