Evidence map›Paper›PMID 40810118›Full record

ArticleFrontiers in systems biology2025

Mathematical modeling of pharmacokinetics and pharmacodynamics of losartan in relation to

Dmitry Babaev, Elena Kutumova, Fedor Kolpakov

Abstract read
In one paragraph

Article in Frontiers in systems biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Modeling the Influence ofPharmaceutics · 2025
    Article
  3. Prevalence of risk phenotypes associated withFrontiers in pharmacology · 2025
    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.

Dmitry BabaevDepartment of Computational Biology, Sirius University of Science and Technology, Sirius, Krasnodar Region, Russia.
Elena KutumovaDepartment of Computational Biology, Sirius University of Science and Technology, Sirius, Krasnodar Region, Russia.
Fedor KolpakovDepartment of Computational Biology, Sirius University of Science and Technology, Sirius, Krasnodar Region, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Losartan is a selective angiotensin II AT1-receptor antagonist for the treatment of arterial hypertension and heart failure. It is converted to a pharmacologically active metabolite carboxylosartan (E-3174) in the liver mainly by CYP2C9 enzyme, a member of the cytochrome P450 superfamily. The gene encoding this protein is highly polymorphic: numerous single nucleotide polymorphisms that alter the enzyme function have been described in the literature. The most widespread

Indexed as

arterial hypertensionBioUMLCYP2C9losartanmathematical modelingpersonalized medicinepharmacodynamicspharmacokinetics

Identifiers

PMID40810118
PMCPMC12342004

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.