Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 172

The DOI matches its Crossref record.

A Direct In Vitro Demonstration of Insulin Binding to Isolated Brain Microvessels

Frank, Harrison J L, Pardridge, William M·1981·Diabetes

Abstract

Recent in vivo autoradiographic studies have suggested that circulating insulin may bind to the capillary wall, i.e., the blood-brain barrier. In the present study the blood-brain barrier insulin receptor was examined directly by measuring [125I]-iodoinsulin binding to capillaries isolated from fresh bovine cerebral cortex. Microvessels were prepared by gentle hand homogenization and trapping on nylon mesh. The binding was rapid, specific, and reversible with one-half maximal binding attained in 7 min and maximal binding achieved in 45 min at room temperature. The high affinity site has an affinity constant of 2.3 ± 0.3 nM−1, and 50% displacement of [125I]-iodoinsulin occurred at approximately 9 ng/ml. [125I]-lodoinsulin was not displaced by excess thyrotropin, prolactin, or growth hormone, and proinsulin was much less potent than porcine insulin. These studies confirm the presence of a specific insulin receptor on brain microvessels. Although insulin does not cross the blood-brain barrier, the presence of an insulin receptor provides a possible mechanism by which blood-borne insulin can influence brain cell metabolism.

Overview

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 · 10.2337/diab.30.9.757

Cites

Statistics

Verification

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

Self-check

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

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

Citations

Cited by

See all 172

Metadata

Authors
Frank, H. J. L., & Pardridge, W. M.
Venue
Diabetes
Published
1981-09-01
Volume
30
Issue
9
Pages
757-761
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W1998760887
Cited by
172
References
0
FWCI
9.77
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Direct In Vitro Demonstration of Insulin Binding to Isolated Brain Microvessels. https://app.cochat.ai/papers/10.2337/diab.30.9.757
The paper
Frank, H. J. L., & Pardridge, W. M. (1981). A Direct In Vitro Demonstration of Insulin Binding to Isolated Brain Microvessels. Diabetes. https://doi.org/10.2337/diab.30.9.757

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.