Evidence map›Paper›PMID 30875719›Full record

ArticleInternational journal of environmental research and public health2019

Identification of Pathogenic Bacteria from Public Libraries via Proteomics Analysis.

Ryan Hyunjae Jung, Minzae Kim, Bhoomi Bhatt, Jong Min Choi, Jung H Roh

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Proteome-Based Serotyping of the Food-Borne PathogensMolecules (Basel, Switzerland) · 2022
    Article
  3. Review
  4. Review
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.

Ryan Hyunjae JungCarnegie Vanguard High School, Houston, TX 77019, USA. Ryan.Jung@bcm.edu.
Minzae KimAmador Valley High School, Pleasanton, CA 94566, USA. theminzae@gmail.com.
Bhoomi BhattVerna & Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA. Bhoomi.Bhatt@bcm.edu.ORCID 0000-0001-8856-3948
Jong Min ChoiAdvanced Technology Core, Baylor College of Medicine, Houston, TX 77030, USA. JongMin.Choi@bcm.edu.ORCID 0000-0002-5282-7697
Jung H RohDepartment of Microbiology and Molecular Genetics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Jung.H.Roh@uth.tmc.edu.

Funding

Foundation for the National Institutes of Health NIH P30 CA125123
6 · The paper itself

Abstract

Hazardous organisms may thrive on surfaces that are often exposed to human contact, including children's library books. In this study, swab samples were taken from 42 children's books collected from four public libraries in Texas and California. Samples were then cultivated in brain⁻heart infusion (BHI) medium and then in Luria broth (LB) medium containing either ampicillin or kanamycin. All 42 samples (100%) were positive for bacterial growth in normal BHI medium. Furthermore, 35 samples (83.3%) and 20 samples (47.6%) in total were positive in LB medium containing ampicillin or kanamycin, respectively. Bacterial populations were then identified in samples using an Orbitrap Fusion™ Tribrid ™ mass spectrometer, a state-of-the-art proteomic analysis tool. Identified bacterial species grown in ampicillin included

Indexed as

BooksLibrariesBacteriaCaliforniaChildChromatography, LiquidHumansProteomicsSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryTexasenvironmental risklibrary bookspathogenic bacteriaproteomics analysis

Identifiers

PMID30875719
PMCPMC6466425

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.