Evidence map›Paper›PMID 35336806›Full record

ArticleBiology2022

Control of Cholesterol Metabolism Using a Systems Approach.

Dorota Formanowicz, Marcin Radom, Agnieszka Rybarczyk, Krzysztof Tanaś, Piotr Formanowicz

Open access · goldAbstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Lipid metabolism, microglia, and stroke.Neural regeneration research · 2026
    Article
  2. Guava Byproducts (Molecules (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
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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

5 authors at 4 institutions in 1 country.

Dorota FormanowiczDepartment of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0001-6691-3863
Marcin RadomInstitute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0002-4174-7069
Agnieszka RybarczykInstitute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0003-4115-0737
Krzysztof TanaśInstitute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland.
Piotr FormanowiczInstitute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0003-2719-3677
Institute of Bioorganic Chemistry, Polish Academy of Sciences · PLGdynia Maritime University · PLPoznan University of Medical Sciences · PLPoznań University of Technology · PL

Funding

National Science Centre (Poland) 2012/07/B/ST6/01537
6 · The paper itself

Abstract

Cholesterol is an essential component of mammalian cells and is involved in many fundamental physiological processes; hence, its homeostasis in the body is tightly controlled, and any disturbance has serious consequences. Disruption of the cellular metabolism of cholesterol, accompanied by inflammation and oxidative stress, promotes the formation of atherosclerotic plaques and, consequently, is one of the leading causes of death in the Western world. Therefore, new drugs to regulate disturbed cholesterol metabolism are used and developed, which help to control cholesterol homeostasis but still do not entirely cure atherosclerosis. In this study, a Petri net-based model of human cholesterol metabolism affected by a local inflammation and oxidative stress, has been created and analyzed. The use of knockout of selected pathways allowed us to observe and study the effect of various combinations of commonly used drugs on atherosclerosis. The analysis results led to the conclusion that combination therapy, targeting multiple pathways, may be a fundamental concept in the development of more effective strategies for the treatment and prevention of atherosclerosis.

Indexed as

atherosclerosischolesterol metabolismmathematical modelingPetri netssystems biologyt-invariants

Identifiers

PMID35336806
PMCPMC8945167
OpenAlexW4220862068

What Socratic 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 Socratic graph.