Evidence map›Paper›PMID 40130107›Full record

ArticleCureus2025

In Silico Analysis of Saroglitazar and Ferulic Acid Binding to Human Ketohexokinase: Implications for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

Kalpana Tiwari, Brijesh Kumar, Anurag Tiwari, Puneet Dhamija, Gyan Vardhan, Amol Dehade, Vinay Kumar

Abstract read
In one paragraph

Article in Cureus, 2025. 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. Pharmacophore-based virtual screening andFrontiers 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

7 authors.

Kalpana TiwariPharmacology, Institute of Medical Science, Banaras Hindu University, Varanasi, IND.
Brijesh KumarPharmacology and Therapeutics, Institute of Medical Science, Banaras Hindu University, Varanasi, IND.
Anurag TiwariGastroenterology, Institute of Medical Science, Banaras Hindu University, Varanasi, IND.
Puneet DhamijaClinical Pharmacology, All India Institute of Medical Sciences, Rishikesh, IND.
Gyan VardhanPharmacology, All India Institute of Medical Sciences, Rishikesh, IND.
Amol DehadePharmacology, Institute of Medical Science, Banaras Hindu University, Varanasi, IND.
Vinay KumarSchool of Biotechnology, Center for Bioinformatics, Institute of Medical Science, Banaras Hindu University, Varanasi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease renamed as metabolic dysfunction-associated steatotic liver disease (MASLD) and a global health issue that causes excessive liver fat deposition without alcohol usage. Basic fatty liver to non-alcoholic steatohepatitis can lead to liver fibrosis, cirrhosis, and hepatocellular carcinoma. Role of research is vital due to the multifaceted, complex pathophysiology and the increasing incidence of a sedentary lifestyle. Computational network pharmacology, docking and dynamics studies of saroglitazar and ferulic acid with human ketohexokinase (KHK) were conducted to propose potential MASLD management.

methodUtilized computational methodologies were utilized to examine binding interactions of saroglitazar (compound identifier (CID): 60151560) and ferulic acid (CID: 445858) with human ketohexokinase (KHK: P50053, Protein Data Bank (PDB) ID: 6W0W). Active site analysis was done by using the Conserved Domain Database (CDD) server (Collaborative Drug Discovery, Burlingame, California) and BIOVIA Discovery Studio 2019 (Dassault Systèmes, Vélizy-Villacoublay, France). The best PDB complex was used for molecular dynamics simulation and trajectory analysis on 100 ns, and functional associations were checked based on network analysis using the Search Tool for Interactions of Chemicals (STITCH) server (STITCH Consortium (EMBL), Heidelberg, Germany).

resultsHuman ketohexokinase (KHK) protein (UniProt ID: P50053) was obtained. Additional KHK PDB Structure (6W0W) was retrieved for docking calculation. PubChem Database 2 Structure-Data File (SDF) files (National Center for Biotechnology Information (NCBI), U.S. National Library of Medicine, Bethesda, Maryland), ferulic acid (CID: 445858) and saroglitazar (CID: 60151560) were used as ligands. Active site residues were identified using the CDD server and BIOVIA Discovery Studio 2019. Further, identified active site residues, i.e., Arg

conclusionThe study shows that saroglitazar and ferulic acid are potent KHK inhibitors for metabolic diseases, including MASLD, suggesting multi-target treatments.

Indexed as

chronic liver diseasefatty liverferulic acidliver diseasemashmetabolic dysfunction-associated fatty liver disease (mafld)metabolic dysfunction-associated steatotic liver disease (masld)nafld treatmentsaroglitazar

Identifiers

PMID40130107
PMCPMC11931454

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.