Evidence map›Paper›PMID 34997872›Full record

ArticleMolecular diversity2022

In silico design and in vitro assessment of anti-Helicobacter pylori compounds as potential small-molecule arginase inhibitors.

Ana Thereza Fiori-Duarte, João Paulo de Oliveira Guarnieri, Jessica Rodrigues Pereira de Oliveira Borlot, Marcelo Lancellotti, Ricardo Pereira Rodrigues, Rodrigo Rezende Kitagawa, Daniel Fábio Kawano

Abstract read
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In one paragraph

Article in Molecular diversity, 2022. 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
0.7field-weighted citation impact, top 34% of its field
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, 3 citations in OpenAlex.

  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 at 2 institutions in 1 country.

Ana Thereza Fiori-DuarteFaculty of Pharmaceutical Sciences, University of Campinas - UNICAMP, Rua Cândido Portinari 200, Campinas, SP, 13083-871, Brazil.
João Paulo de Oliveira GuarnieriFaculty of Pharmaceutical Sciences, University of Campinas - UNICAMP, Rua Cândido Portinari 200, Campinas, SP, 13083-871, Brazil.
Jessica Rodrigues Pereira de Oliveira BorlotDepartment of Pharmaceutical Sciences, Health Sciences Center - CCS, Federal University of Espírito Santo - UFES, Av. Marechal Campos 1468, Vitoria, ES, 29047-105, Brazil.
Marcelo LancellottiFaculty of Pharmaceutical Sciences, University of Campinas - UNICAMP, Rua Cândido Portinari 200, Campinas, SP, 13083-871, Brazil.
Ricardo Pereira RodriguesDepartment of Pharmaceutical Sciences, Health Sciences Center - CCS, Federal University of Espírito Santo - UFES, Av. Marechal Campos 1468, Vitoria, ES, 29047-105, Brazil.
Rodrigo Rezende KitagawaDepartment of Pharmaceutical Sciences, Health Sciences Center - CCS, Federal University of Espírito Santo - UFES, Av. Marechal Campos 1468, Vitoria, ES, 29047-105, Brazil.
Daniel Fábio KawanoFaculty of Pharmaceutical Sciences, University of Campinas - UNICAMP, Rua Cândido Portinari 200, Campinas, SP, 13083-871, Brazil. dkawano@unicamp.br.ORCID http://orcid.org/0000-0002-4651-3472
Universidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal do Espírito Santo · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 309802/2020-2Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88882.385410/2019-01Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.512993/2020-00Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.643019/2021-00Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Project 39-P-4763/2018Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/08585-1
6 · The paper itself

Abstract

Related to a variety of gastrointestinal disorders ranging from gastric ulcer to gastric adenocarcinoma, the infection caused by the gram-negative bacteria Helicobacter pylori (H. pylori) poses as a great threat to human health; hence, the search for new treatments is a global priority. The H. pylori arginase (HPA) protein has been widely studied as one of the main virulence factors of this bacterium, being involved in the prevention of nitric oxide-mediated bacterial cell death, which is a central component of innate immunity. Given the growing need for the development of new drugs capable of combating the infection by H. pylori, the present work describes the search for new HPA inhibitors, using virtual screening techniques based on molecular docking followed by the evaluation of the proposed modes of interaction at the HPA active site. In vitro studies of minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC), followed by cytotoxicity activity in gastric adenocarcinoma and non-cancer cells, were performed. The results highlighted compounds 6, 11, and 13 as potential inhibitors of HPA; within these compounds, the results indicated 13 presented an improved activity toward H. pylori killing, with MIC and MBC both at 64 µg/mL. Moreover, compound 13 also presented a selectivity index of 8.3, thus being more selective for gastric adenocarcinoma cells compared to the commercial drug cisplatin. Overall, the present work demonstrates the search strategy based on in silico and in vitro techniques is able to support the rational design of new anti-H. pylori drugs.

Indexed as

AdenocarcinomaHelicobacter InfectionsHelicobacter pyloriAnti-Bacterial AgentsArginaseHumansMicrobial Sensitivity TestsMolecular Docking SimulationAnti-Bacterial AgentsArginaseAntibacterial agentsArginaseCytotoxicityHelicobacter pyloriMolecular dockingVirtual screening

Identifiers

PMID34997872
OpenAlexW4206536045

What OpenQuestion holds

Textmetadata
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.