Evidence map›Paper›PMID 30018343›Full record

ArticleScientific reports2018

An integrative, multi-omics approach towards the prioritization of Klebsiella pneumoniae drug targets.

Pablo Ivan Pereira Ramos, Darío Fernández Do Porto, Esteban Lanzarotti, Ezequiel J Sosa, Germán Burguener, Agustín M Pardo, Cecilia C Klein, Marie-France Sagot, Ana Tereza R de Vasconcelos, Ana Cristina Gales and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
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  6. Review
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  10. Insights into Kinases of ESKAPE Pathogens for Therapeutic Interventions.Cardiovascular & hematological agents in medicinal chemistry · 2024
    Review
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  16. A curated collection ofGenome research · 2022
    Article
  17. Article
  18. Pathway Driven Target Selection inFrontiers in cellular and infection microbiology · 2022
    Article
  19. Article
  20. Panomics to decode virulence and fitness in Gram-negative bacteria.Frontiers in cellular and infection microbiology · 2022
    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

13 authors at 5 institutions in 4 countries.

Pablo Ivan Pereira RamosInstituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, Bahia, Brazil.ORCID 0000-0002-9075-7861
Darío Fernández Do PortoPlataforma de Bioinformática Argentina (BIA), Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Esteban LanzarottiInstituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) CONICET, Ciudad Universitaria, Pabellón 2, C1428EHA, Ciudad de Buenos Aires, Argentina.
Ezequiel J SosaPlataforma de Bioinformática Argentina (BIA), Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Germán BurguenerPlataforma de Bioinformática Argentina (BIA), Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Agustín M PardoInstituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) CONICET, Ciudad Universitaria, Pabellón 2, C1428EHA, Ciudad de Buenos Aires, Argentina.
Cecilia C KleinInria Grenoble Rhône-Alpes, Grenoble, France.
Marie-France SagotInria Grenoble Rhône-Alpes, Grenoble, France.
Ana Tereza R de VasconcelosLaboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro, Brazil.
Ana Cristina GalesLaboratório Alerta. Division of Infectious Diseases, Department of Internal Medicine. Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Marcelo MartiPlataforma de Bioinformática Argentina (BIA), Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Adrián G TurjanskiPlataforma de Bioinformática Argentina (BIA), Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina. adrian@qb.fcen.uba.ar.
Marisa F NicolásLaboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro, Brazil. marisa@lncc.br.
Universidad de Buenos Aires · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARLaboratório Nacional de Computação Científica · BRUniversité Claude Bernard Lyon 1 · FRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Klebsiella pneumoniae (Kp) is a globally disseminated opportunistic pathogen that can cause life-threatening infections. It has been found as the culprit of many infection outbreaks in hospital environments, being particularly aggressive towards newborns and adults under intensive care. Many Kp strains produce extended-spectrum β-lactamases, enzymes that promote resistance against antibiotics used to fight these infections. The presence of other resistance determinants leading to multidrug-resistance also limit therapeutic options, and the use of 'last-resort' drugs, such as polymyxins, is not uncommon. The global emergence and spread of resistant strains underline the need for novel antimicrobials against Kp and related bacterial pathogens. To tackle this great challenge, we generated multiple layers of 'omics' data related to Kp and prioritized proteins that could serve as attractive targets for antimicrobial development. Genomics, transcriptomics, structuromic and metabolic information were integrated in order to prioritize candidate targets, and this data compendium is freely available as a web server. Twenty-nine proteins with desirable characteristics from a drug development perspective were shortlisted, which participate in important processes such as lipid synthesis, cofactor production, and core metabolism. Collectively, our results point towards novel targets for the control of Kp and related bacterial pathogens.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsDrug DiscoveryDrug Resistance, Multiple, BacterialGenome, BacterialGenomicsHumansKlebsiella pneumoniaeMetabolic Networks and PathwaysMetabolomicsModels, MolecularProtein Structure, TertiaryTranscriptomeAnti-Bacterial AgentsBacterial Proteins

Identifiers

PMID30018343
PMCPMC6050338
OpenAlexW2854974106

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.