Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 553

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A density gradient ultracentrifugal procedure for the isolation of the major lipoprotein classes from human serum.

Open access
Chapman, M J, Goldstein, S, Lagrange, D, Laplaud, P M·1981·Journal of Lipid Research

Abstract

A density gradient ultracentrifugal procedure is described for the rapid and reproducible isolation of the major lipoprotein classes, VLDL, LDL, HDL2, and HDL3, from human serum. A step gradient is constructed from four NaCl/KBr solutions varying in density from 1.006 to 1.24 g/ml and from 3 ml of serum adjusted to d 1.21 g/ml. Separation is achieved after a single ultracentrifugation for some 56 x 10(7) gavg min at 15 degrees C in a swinging bucket rotor, at which time the lipoproteins band isopycnically and albumin and other serum proteins are sedimented. Densitometric scanning of gradients revealed a lipoprotein mass profile distinguished by four absorption maxima which fell within the hydrated density ranges of VLDL (d less than 1.016 g/ml), LDL (1.028-1.050 g/ml), HDL2 (1.066-1.100 g/ml), and HDL3 (1.100-1.153 g/ml). Fractionation of gradients on the basis of band distribution, followed by chemical, physical, and immunological analyses of the four principal fractions (i.e., bands) provided data on their electrophoretic mobility, chemical composition, morphology and size distribution, immunological reactivity and apolipoprotein content, thereby confirming their identities as VLDL, LDL, HDL2, and HDL3. The validity of this separation was supported by the quantitative distribution of apo B and apo A-I as assessed by radial immunodiffusion. Lipoprotein quantitation based on chemical analysis of gradient fractions was compared with that by analytical ultracentrifugation for a group of normolipidemic males; results concorded well, giving a similar HDL2:HDL3 ratio (0.35-0.36). Our procedure thus provides a simple and precise manner in which to assess the lipoprotein and apolipoprotein profile of human serum quantitatively and qualitatively.

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 · 10.1016/s0022-2275(20)35376-1

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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 553

Metadata

Authors
Chapman, M. J., Goldstein, S., Lagrange, D., & Laplaud, P. M.
Venue
Journal of Lipid Research
Publisher
Elsevier BV
Published
1981-02
Volume
22
Issue
2
Pages
339-358
ISSN
0022-2275 (ISSN-L)
OpenAlex
W2185919342
Cited by
553
References
1
FWCI
20.99
Type
journal article
Language
en
Open access
hybrid

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

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.