Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 342

The DOI matches its Crossref record.

Muscle Fiber Composition and Capillary Density in Women and Men With NIDDM

MÅrin, Per, Andersson, Björn, Krotkiewski, Marcin, Björntorp, Per·1994·Diabetes Care
DOI 10.2337/diacare.17.5.382
Open this paper in CoChat — free account

Abstract

OBJECTIVE: To determine whether muscle fiber composition and capillary density differed between diabetic and nondiabetic subjects. RESEARCH DESIGN AND METHODS: Muscle fiber composition and capillary density were determined in biopsies from women and men with non-insulindependent diabetes mellitus (NIDDM) and compared with those of control subjects matched for gender, age, obesity, and the waist-to-hip ratio, which are all factors known to influence muscle morphology. RESULTS: Patients with NIDDM, as well as control subjects with abdominal obesity and insulin resistance, showed the same abnormalities in muscle morphology, namely, a low percentage of type I fibers, elevated type II (particularly type IIB) fibers, and a low capillary density. These changes correlated closely with insulin concentrations in both diabetic and nondiabetic groups. CONCLUSIONS: Recent information suggests that insulin may regulate myosin synthesis in muscle in the direction of the changes observed. Therefore, it is possible that muscle fiber composition abnormalities in insulin-resistant conditions are secondary to hyperinsulinemia. However, the low capillary density, hypothetically, may contribute to insulin resistance.

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/diacare.17.5.382

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

Metadata

Authors
MÅrin, P., Andersson, B., Krotkiewski, M., & Björntorp, P.
Venue
Diabetes Care
Publisher
American Diabetes Association
Published
1994-05-01
Volume
17
Issue
5
Pages
382-386
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
DOI
10.2337/diacare.17.5.382
OpenAlex
W1969927905
Cited by
342
References
0
FWCI
3.90
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

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.