Evidence map›Paper›PMID 36232405›Full record

ReviewInternational journal of molecular sciences2022

Approaches to Measuring the Activity of Major Lipolytic and Lipogenic Enzymes In Vitro and Ex Vivo.

Marek Wilhelm, Lenka Rossmeislová, Michaela Šiklová

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Marek WilhelmDepartment of Pathophysiology, Center for Research on Nutrition, Metabolism and Diabetes, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic.ORCID 0000-0001-5680-9851
Lenka RossmeislováDepartment of Pathophysiology, Center for Research on Nutrition, Metabolism and Diabetes, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic.
Michaela ŠiklováDepartment of Pathophysiology, Center for Research on Nutrition, Metabolism and Diabetes, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic.ORCID 0000-0003-0489-1069
Charles University · CZ

Funding

Charles University SVV 260531/SVV/2020Ministry of Health of the Czech Republic NV19-01-00263National Institute for Research of Metabolic and Cardiovascular Diseases LX22NPO5104
6 · The paper itself

Abstract

Since the 1950s, one of the goals of adipose tissue research has been to determine lipolytic and lipogenic activity as the primary metabolic pathways affecting adipocyte health and size and thus representing potential therapeutic targets for the treatment of obesity and associated diseases. Nowadays, there is a relatively large number of methods to measure the activity of these pathways and involved enzymes, but their applicability to different biological samples is variable. Here, we review the characteristics of mean lipogenic and lipolytic enzymes, their inhibitors, and available methodologies for assessing their activity, and comment on the advantages and disadvantages of these methodologies and their applicability in vivo, ex vivo, and in vitro, i.e., in cells, organs and their respective extracts, with the emphasis on adipocytes and adipose tissue.

Indexed as

LipogenesisLipolysisAdipocytesAdipose TissueHumansObesityacetyl-CoA carboxylaseactivity measurementadipose triglyceride lipasefatty-acid synthasehormone-sensitive lipaseinhibitor

Identifiers

PMID36232405
PMCPMC9570359
OpenAlexW4296625128

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.