Evidence map›Paper›PMID 35168796›Full record

ArticleMethods in enzymology2022

Molecular networking in infectious disease models.

Morgan B Harris, Mahbobeh Lesani, Zongyuan Liu, Laura-Isobel McCall

Abstract read
In one paragraph

Article in Methods in enzymology, 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
–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. Metabolomic Analysis of Polymicrobial Wound Infections and an Associated Adhesive Bandage.Journal of the American Society for Mass Spectrometry · 2023
    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

4 authors.

Morgan B HarrisDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, United States; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, United States.
Mahbobeh LesaniDepartment of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, United States.
Zongyuan LiuDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, United States; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, United States.
Laura-Isobel McCallDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, United States; Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, United States. Electronic address: lmccall@ou.edu.

Funding

Small molecule biomarkers of cardiac Chagas disease progressionR21AI156669 · NIAID · UNIVERSITY OF OKLAHOMA · PI BOWMAN, NATALIE MCCARTER, GILMAN, ROBERT H · 2021 to 2022
$458k
Oral carnitine administration as a novel treatment for chronic-stage Chagas diseaseR21AI148886 · NIAID · UNIVERSITY OF OKLAHOMA · PI MCCALL, LAURA-ISOBEL · 2020 to 2021
$426k
NIAID NIH HHS R21 AI148886NIAID NIH HHS R21 AI156669
6 · The paper itself

Abstract

Small molecule metabolites are the product of many enzymatic reactions. Metabolomics thus opens a window into enzyme activity and function, integrating effects at the post-translational, proteome, transcriptome and genome level. In addition, small molecules can themselves regulate enzyme activity, expression and function both via substrate availability mechanisms and through allosteric regulation. Metabolites are therefore at the nexus of infectious diseases, regulating nutrient availability to the pathogen, immune responses, tropism, and host disease tolerance and resilience. Analysis of metabolomics data is however complex, particularly in terms of metabolite annotation. An emerging valuable approach to extend metabolite annotations beyond existing compound libraries and to identify infection-induced chemical changes is molecular networking. In this chapter, we discuss the applications of molecular networking in the context of infectious diseases specifically, with a focus on considerations relevant to these biological systems.

Indexed as

Communicable DiseasesTandem Mass SpectrometryHumansMetabolomicsGlobal Natural Product Social Molecular Networking (GNPS)Infectious diseasesMass spectrometryMetabolomicsMolecular networkingMS2

Identifiers

PMID35168796
PMCPMC10040239

What OpenQuestion holds

Textmetadata
LicenceTDM
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.