Evidence map›Paper›PMID 39125109›Full record

ArticleMolecules (Basel, Switzerland)2024

Establishing the Thermodynamic Cards of Dipine Models' Oxidative Metabolism on 21 Potential Elementary Steps.

Guang-Bin Shen, Shun-Hang Gao, Yan-Wei Jia, Xiao-Qing Zhu, Bao-Chen Qian

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Guang-Bin ShenCollege of Medical Engineering, Jining Medical University, Jining 272000, China.ORCID 0000-0003-0449-7301
Shun-Hang GaoCollege of Medical Engineering, Jining Medical University, Jining 272000, China.
Yan-Wei JiaCollege of Medical Engineering, Jining Medical University, Jining 272000, China.
Xiao-Qing ZhuThe State Key Laboratory of Elemento-Organic Chemistry, Department of Chemistry, Nankai University, Tianjin 300071, China.
Bao-Chen QianCollege of Medical Engineering, Jining Medical University, Jining 272000, China.

Funding

Health Commission of Shandong Province 202313051336Jining Medical University doctoral scientific research foundation
6 · The paper itself

Abstract

Dipines are a type of important antihypertensive drug as L-calcium channel blockers, whose core skeleton is the 1,4-dihydropyridine structure. Since the dihydropyridine ring is a key structural factor for biological activity, the thermodynamics of the aromatization dihydropyridine ring is a significant feature parameter for understanding the mechanism and pathways of dipine metabolism in vivo. Herein, 4-substituted-phenyl-2,6-dimethyl-3,5-diethyl-formate-1,4-dihydropyridines are refined as the structurally closest dipine models to investigate the thermodynamic potential of dipine oxidative metabolism. In this work, the thermodynamic cards of dipine models' aromatization on 21 potential elementary steps in acetonitrile have been established. Based on the thermodynamic cards, the thermodynamic properties of dipine models and related intermediates acting as electrons, hydrides, hydrogen atoms, protons, and two hydrogen ions (atoms) donors are discussed. Moreover, the thermodynamic cards are applied to evaluate the redox properties, and judge or reveal the possible oxidative mechanism of dipine models.

Indexed as

Oxidation-ReductionThermodynamicsAntihypertensive AgentsCalcium Channel BlockersDihydropyridinesModels, MolecularMolecular Structure1,4-dihydropyridineAntihypertensive AgentsCalcium Channel BlockersDihydropyridinesdipine oxidative metabolismelementary stepsthermodynamic cards

Identifiers

PMID39125109
PMCPMC11313972

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Registered trials

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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.