Evidence map›Paper›PMID 31473807›Full record

ArticleHistochemistry and cell biology2019

3D analysis of capillary network in skeletal muscle of obese insulin-resistant mice.

Nejc Umek, Simon Horvat, Erika Cvetko, Marko Kreft, Jiří Janáček, Lucie Kubínová, Tatjana Stopar Pintarič, Ida Eržen

Abstract read
PubMed Publisher
In one paragraph

Article in Histochemistry and cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Microvascular Skeletal-Muscle Crosstalk in Health and Disease.International journal of molecular sciences · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. In focus in HCB.Histochemistry and cell biology · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Nejc UmekFaculty of Medicine, Institute of Anatomy, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia. nejc.umek@mf.uni-lj.si.ORCID http://orcid.org/0000-0001-5831-2216
Simon HorvatDepartment of Animal Science, Chair for Genetics, Biotechnology and Immunology, Biotechnical Faculty, University of Ljubljana, Groblje 3, 1230, Domžale, Slovenia.
Erika CvetkoFaculty of Medicine, Institute of Anatomy, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia.
Marko KreftDepartment of Physiology, Anthropology and Ethology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000, Ljubljana, Slovenia.
Jiří JanáčekDepartment of Biomathematics, Institute of Physiology, Czech Academy of Science, Vídeňská 1083, 14220, Prague 4, Czech Republic.
Lucie KubínováDepartment of Biomathematics, Institute of Physiology, Czech Academy of Science, Vídeňská 1083, 14220, Prague 4, Czech Republic.
Tatjana Stopar PintaričFaculty of Medicine, Institute of Anatomy, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia.
Ida ErženFaculty of Medicine, Institute of Anatomy, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia.
University of Ljubljana · SICzech Academy of Sciences · CZ

Funding

European Regional Development Fund CZ.2.16/3.1.00/21544Javna Agencija za Raziskovalno Dejavnost RS P3-0043Javna Agencija za Raziskovalno Dejavnost RS P3-0310Javna Agencija za Raziskovalno Dejavnost RS P4-0220Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01/0.0/0.0/16_013/0001775Ministerstvo Školství, Mládeže a Tělovýchovy LM2015062 Czech-BioImaging
6 · The paper itself

Abstract

In obesity, the skeletal muscle capillary network regresses and the insulin-mediated capillary recruitment is impaired. However, it has been shown that in the early stage of advanced obesity, an increased functional vascular response can partially compensate for other mechanisms of insulin resistance. The present study aimed to investigate the changes in the capillary network around individual muscle fibres during the early stage of obesity and insulin resistance in mice using 3D analysis. Capillaries and muscle fibres of the gluteus maximus muscles of seven high-fat-diet-induced obese and insulin-resistant mice and seven age-matched lean healthy mice were immunofluorescently labelled in thick transverse muscle sections. Stacks of images were acquired using confocal microscope. Capillary network characteristics were estimated by methods of quantitative image analysis. Muscle fibre typing was performed by histochemical analysis of myosin heavy chain isoforms on thin serial sections of skeletal muscle. Capillary length per muscle fibre length and capillary length per muscle fibre surface were increased by 27% and 23%, respectively, around small muscle fibres in obese mice, while there were no significant comparative differences around large fibres of obese and lean mice. Furthermore, the capillarization was larger around small compared to large fibres and there was a shift toward fast type myosin heavy chain isoforms, with no significant changes in muscle fibre diameters, tortuosity and anisotropy in obese mice. Overall, the results show that obese insulin-resistant mice have selective increase in capillarization around small predominantly intermediate muscle fibres, which is most likely related to the impaired glucose metabolism characteristic of type 2 diabetes.

Indexed as

AnimalsCapillariesFemaleInsulin ResistanceMiceMice, Inbred C57BLMuscle, SkeletalMyosin Heavy ChainsObesityMyosin Heavy Chains3D analysisCapillary networkFibre typeInsulin resistanceObesitySkeletal muscle

Identifiers

PMID31473807
OpenAlexW2970367488

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.