Evidence map›Paper›PMID 31108878›Full record

ArticlePharmaceutics2019

Repurposing of FDA-Approved NSAIDs for DPP-4 Inhibition as an Alternative for Diabetes Mellitus Treatment: Computational and in Vitro Study.

Veera C S R Chittepu, Poonam Kalhotra, Tzayhri Osorio-Gallardo, Tzayhri Gallardo-Velázquez, Guillermo Osorio-Revilla

Abstract read
In one paragraph

Article in Pharmaceutics, 2019. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Review
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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.

Veera C S R ChittepuDepartamento de Ingenieria Bioquimica, Escuela Nacional de Ciencias Biologicas, Instituto Politecnico Nacional, Av. Wilfrido Massieu S/N, Col. Unidad Profesional Adolfo Lopez Mateos, Zacatenco, C.P. Ciudad de Mexico 07738, Mexico. veerareddy9@gmail.com.ORCID 0000-0002-9032-0360
Poonam KalhotraDepartamento de Biofisica, Escuela Nacional de Ciencias Biologicas, Instituto Politecnico Nacional, Prolongacion de Carpio y Plan de Ayala S/N, Col. Santo Tomas, CP. Ciudad de Mexico 11340, Mexico. kalhotrapoonam@gmail.com.ORCID 0000-0001-8706-5488
Tzayhri Osorio-GallardoDepartamento de Microbiologia e Immunologia, Facultad de Medicina Vetererneria Y Zootecnia, Universidad Nacional Autonoma de Mexico, Av. Universidad #3000, Delegacion Coyoacan, Col. Ciudad Universitaria, Ciudad de Mexico 04510, Mexico. tzayhriosoriogallardo@gmail.com.
Tzayhri Gallardo-VelázquezDepartamento de Biofisica, Escuela Nacional de Ciencias Biologicas, Instituto Politecnico Nacional, Prolongacion de Carpio y Plan de Ayala S/N, Col. Santo Tomas, CP. Ciudad de Mexico 11340, Mexico. gtzayhri@yahoo.com.ORCID 0000-0002-9587-9091
Guillermo Osorio-RevillaDepartamento de Ingenieria Bioquimica, Escuela Nacional de Ciencias Biologicas, Instituto Politecnico Nacional, Av. Wilfrido Massieu S/N, Col. Unidad Profesional Adolfo Lopez Mateos, Zacatenco, C.P. Ciudad de Mexico 07738, Mexico. osorgi@gmail.com.ORCID 0000-0002-6685-1639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A drug repurposing strategy could be a potential approach to overcoming the economic costs for diabetes mellitus (DM) treatment incurred by most countries. DM has emerged as a global epidemic, and an increase in the outbreak has led developing countries like Mexico, India, and China to recommend a prevention method as an alternative proposed by their respective healthcare sectors. Incretin-based therapy has been successful in treating diabetes mellitus, and inhibitors like sitagliptin, vildagliptin, saxagliptin, and alogliptin belong to this category. As of now, drug repurposing strategies have not been used to identify existing therapeutics that can become dipeptidyl peptidase-4 (DPP-4) inhibitors. Hence, this work presents the use of bioinformatics tools like the Activity Atlas model, flexible molecular docking simulations, and three-dimensional reference interaction site model (3D-RISM) calculations to assist in repurposing Food and Drug Administration (FDA)-approved drugs into specific nonsteroidal anti-inflammatory medications such as DPP-4 inhibitors. Initially, the Activity Atlas model was constructed based on the top scoring DPP-4 inhibitors, and then the model was used to understand features of nonsteroidal anti-inflammatory drugs (NSAIDs) as a function of electrostatic, hydrophobic, and active shape features of DPP-4 inhibition. The FlexX algorithm was used to infer protein-ligand interacting residues, and binding energy, to predict potential draggability towards the DPP-4 mechanism of action. 3D-RISM calculations on piroxicam-bound DPP-4 were used to understand the stability of water molecules at the active site. Finally, piroxicam was chosen as the repurposing drug to become a new DPP-4 inhibitor and validated experimentally using fluorescence spectroscopy assay. These findings are novel and provide new insights into the role of piroxicam as a new lead to inhibit DPP-4 and, taking into consideration the biological half-life of piroxicam, it can be proposed as a possible therapeutic strategy for treating diabetes mellitus.

Indexed as

diabetes mellitusdipeptidyl peptidase-4 inhibitorsDPP-4drug repurposingnonsteroidal anti-inflammatory drugsNSAIDs

Identifiers

PMID31108878
PMCPMC6572294

What OpenQuestion holds

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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.