Evidence map›Paper›PMID 35624184›Full record

ArticleScientific reports2022

Identification of metabolite extraction method for targeted exploration of antimicrobial resistance associated metabolites of Klebsiella pneumoniae.

Ashok Kumar, Sevaram Singh, Sonu Kumar Gupta, Shailesh Kumar, Shrikant Kumar, Rita Singh, Lovnish Thakur, Manoj Kumar, Arti Kapil, Yashwant Kumar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Metabolic response of Klebsiella oxytoca to ciprofloxacin exposure: a metabolomics approach.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  6. Review
  7. 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

11 authors at 3 institutions in 1 country.

Ashok KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Sevaram SinghTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Sonu Kumar GuptaTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Shailesh KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Shrikant KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Rita SinghTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Lovnish ThakurTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Manoj KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India.
Arti KapilDepartment of Microbiology, All India Institute of Medical Sciences, New Delhi, 110029, India.
Yashwant KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India. Y.kumar@thsti.res.in.
Niraj KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurugram Expressway, PO box #04, Faridabad, 121001, India. Nkumar@thsti.res.in.
Translational Health Science and Technology Institute · INJawaharlal Nehru University · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistant Klebsiella pneumoniae (K. pneumoniae), as being a pathogen of critical clinical concern, urgently demands effective therapeutic options. However, the discovery of novel antibiotics over the last three decades has declined drastically and necessitates exploring novel strategies. Metabolomic modulation has been the promising approach for the development of effective therapeutics to deal with AMR; however, only limited efforts have been made to-date, possibly due to the unavailability of suitable metabolites extraction protocols. Therefore, in order to establish a detailed metabolome of K. pneumoniae and identify a method for targeted exploration of metabolites that are involved in the regulation of AMR associated processes, metabolites were extracted using multiple methods of metabolites extraction (freeze-thaw cycle (FTC) and sonication cycle (SC) method alone or in combination (FTC followed by SC; FTC + SC)) from K. pneumoniae cells and then identified using an orbitrap mass analyzer (ESI-LC-MS/MS). A total of 151 metabolites were identified by using FTC, 132 metabolites by using FTC+SC, 103 metabolites by using SC and 69 metabolites common among all the methods used which altogether enabled the identification of 199 unique metabolites. Of these 199, 70 metabolites were known to have an association with AMR phenotype and among these, the FTC + SC method yielded better (identified 55 metabolites), quantitatively and qualitatively compared to FTC and SC alone (identified 51 and 41 metabolites respectively). Each method of metabolite extraction showed a definite degree of biasness and specificity towards chemical classes of metabolites and jointly contributed to the development of a detailed metabolome of the pathogen. FTC method was observed to give higher metabolomic coverage as compared to SC alone and FTC + SC. However, FTC + SC resulted in the identification of a higher number of AMR associated metabolites of K. pneumoniae compared to FTC and SC alone.

Indexed as

Anti-Infective AgentsKlebsiella pneumoniaeAnti-Bacterial AgentsChromatography, LiquidDrug Resistance, BacterialTandem Mass SpectrometryAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID35624184
PMCPMC9142494
OpenAlexW4281672920

What OpenQuestion holds

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Registered trials

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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.