Cited by 92

The DOI matches its Crossref record.

Type 2 Diabetes as a Lipid Disorder

Taskinen, M.-·2005·Current Molecular Medicine

Abstract

Diabetic dyslipidemia is a cluster of plasma lipid and lipoprotein abnormalities that are metabolically interrelated. The recognition that the elevation of large VLDL 1 particles initiates a sequence of events that leads to the formation of small dense LDL and HDL species has focused the assembly of VLDL particles on the spotlight as a potential culprit of dyslipidemia. Notably dyslipidemia is associated with insulin resistance, visceral obesity and liver fat content. Insulin resistance is associated with excessive flux of substrates for VLDL assembly to the liver as well as the upregulation of the machinery generating large VLDL particles in excess. The regulation of different molecular steps in this cascade of events are complex and so far poorly understood. The disordered crosstalk between adipose tissue and the liver results in an imbalance of the machinery that orchestrates the regulation of VLDL production. A number of studies indicates that adipocytokines in particular adiponectin may be a seminal player in the regulation of fat metabolism in the liver. Future discoveries hopefully will delineate the regulatory steps to allow more targeted treatment of diabetic dyslipidemia.

Overview

Integrity signals

Registry

Crossref · 10.2174/1566524053766086

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cited by

Sorted by citations

Metadata

Authors
Taskinen, M.
Venue
Current Molecular Medicine
Published
2005-05-01
Volume
5
Issue
3
Pages
297-308
ISSN
1566-5240
Cited by
92
References
0
Language
en

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