Evidence map›Paper›PMID 39175081›Full record

ArticleBMC pharmacology & toxicology2024

A comprehensive insight from molecular docking and dynamics with clinical investigation on the impact of direct oral anticoagulants on atheroprotective protein in atrial fibrillation.

M Sudhan, V Janakiraman, Sheikh F Ahmad, Sabry M Attia, Ramasamy Subramanian, Durga Devi, Shiek S S J Ahmed

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

M SudhanDrug Discovery and Multi-omics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India.
V JanakiramanDrug Discovery and Multi-omics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India.
Sheikh F AhmadDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Sabry M AttiaDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Ramasamy SubramanianHeal Your Heart EECP Centers, Vaso-Meditech Private Limited, Chennai, Tamil Nadu, 600041, India.
Durga DeviDepartment of Cardiology, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India.
Shiek S S J AhmedDrug Discovery and Multi-omics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India. shiekssjahmed@gmail.com.

Funding

King Saud University RSPD2024R709
6 · The paper itself

Abstract

backgroundDirect oral anticoagulants (DOACs) have high potency against their therapeutic target and are widely used in the treatment of atrial fibrillation (AF). Most DOACs are often claimed to have adverse effects due to off-target inhibition of essential proteins. Human serum paraoxonase 1 (PON1), one of the essential proteins, known for its anti-inflammatory and antioxidant properties, could be affected by DOACs. Thus, a comparative evaluation of DOACs and their effect on PON1 protein will aid in recommending the most effective DOACs for AF treatment. This study aimed to assess the impact of DOACs on PON1 through a combination of computational and experimental analyses.

methodsWe focus on apixaban, dabigatran, and rivaroxaban, the most recommended DOACs in AF treatment, for their impact on PON1 through molecular docking and molecular dynamics (MD) simulation to elucidate the binding affinity and drug-protein structural stability. This investigation revealed the most influential DOACs on the PON1 protein. Then experimental validation was performed in DOAC-treated AF participants (n = 42; 19 treated with dabigatran and 23 treated with rivaroxaban) compared to a healthy control group (n = 22) through gene expression analysis in peripheral blood mononuclear cells (PBMC) and serum enzyme concentration.

resultsOur computational investigation showed rivaroxaban (-4.24 kcal/mol) exhibited a lower affinity against the PON1 protein compared to apixaban (-5.97 kcal/mol) and dabigatran (-9.03 kcal/mol) through molecular docking. Dabigatran holds complex interactions with PON1 at GLU53, TYR197, SER193, and ASP269 by forming hydrogen bonds. Additionally, MD simulation revealed that dabigatran disrupts PON1 stability, which may contribute functional changes. Further experimental validation revealed a significant down-regulation (p < 0.05) of PON1 gene expression in PBMC and decreased serum PON1 enzyme concentration on DOAC treatment. Rivaroxaban as about 48% has inhibitory percentage and dabigatran as about 75% of inhibitory percentage compared to healthy control.

conclusionOverall, our computational and experimental results clearly show the higher inhibitory effect of dabigatran than rivaroxaban. Hence, rivaroxaban will be a better drug candidate for improving the outcome of AF.

Indexed as

AryldialkylphosphataseAtrial FibrillationDabigatranMolecular Docking SimulationMolecular Dynamics SimulationPyridonesRivaroxabanAdministration, OralAgedAnticoagulantsFemaleHumansMaleMiddle AgedPyrazolesAnticoagulantsapixabanAryldialkylphosphataseDabigatranPON1 protein, humanPyrazolesPyridonesRivaroxabanAtrial fibrillationEnzyme levelGene expressionMD simulationPON1

Identifiers

PMID39175081
PMCPMC11342603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.