Evidence map›Paper›PMID 32209050›Full record

ArticleBMC microbiology2020

Lactobacilli spp.: real-time evaluation of biofilm growth.

Stacy Martinez, Jonathan Gomez Garcia, Roy Williams, Moamen Elmassry, Andrew West, Abdul Hamood, Deborah Hurtado, Brent Gudenkauf, Gary Ventolini, Natalia Schlabritz-Loutsevitch

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Optimization ofPathogens (Basel, Switzerland) · 2021
    Article
  6. BioMed research international · 2021
    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

10 authors at 3 institutions in 1 country.

Stacy MartinezTexas Tech University Health Sciences Center at the Permian Basin, 701 W. 5th Street, Odessa, TX, 79763, USA.
Jonathan Gomez GarciaTexas Tech University Health Sciences Center at the Permian Basin, 701 W. 5th Street, Odessa, TX, 79763, USA.
Roy WilliamsTexas Tech University Health Sciences Center at the Permian Basin, 701 W. 5th Street, Odessa, TX, 79763, USA.
Moamen ElmassryDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Andrew WestTexas Tech University Health Sciences Center at the Permian Basin, 701 W. 5th Street, Odessa, TX, 79763, USA.
Abdul HamoodDepartment of Microbiology and Immunology, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Deborah HurtadoACEA Biosciences, Inc., San Diego, CA, USA.
Brent GudenkaufTexas Tech University Health Sciences Center at the Permian Basin, 701 W. 5th Street, Odessa, TX, 79763, USA.
Gary VentoliniTexas Tech University Health Sciences Center at the Permian Basin, 701 W. 5th Street, Odessa, TX, 79763, USA. Gary.ventolini@ttuhsc.edu.
Natalia Schlabritz-LoutsevitchTexas Tech University Health Sciences Center at the Permian Basin, 701 W. 5th Street, Odessa, TX, 79763, USA. Natalia.Schlabritz-Lutsevich@ttuhsc.edu.
Texas Tech University · USTexas Tech University Health Sciences Center · USThe University of Texas of the Permian Basin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiofilm is a fundamental bacterial survival mode which proceeds through three main generalized phases: adhesion, maturation, and dispersion. Lactobacilli spp. (LB) are critical components of gut and reproductive health and are widely used probiotics. Evaluation of time-dependent mechanisms of biofilm formation is important for understanding of host-microbial interaction and development of therapeutic interventions. Time-dependent LB biofilm growth was studied in two systems: large biofilm output in continuous flow system (microfermenter (M), Institute Pasteur, France) and electrical impedance-based real time label-free cell analyzer (C) (xCELLigence, ACEA Bioscience Inc., San Diego, CA). L. plantarum biofilm growth in M system was video-recorded, followed by analyses using IMARIS software (Bitplane, Oxford Instrument Company, Concord, MA, USA). Additionally, whole genome expression and analyses of attached (A) and dispersed (D) biofilm phases at 24 and 48 h were performed.

resultsThe dynamic of biofilm growth of L. plantarum was similar in both systems except for D phases. Comparison of the transcriptome of A and D phases revealed, that 121 transcripts differ between two phases at 24 h. and 35 transcripts - at 48 h. of M growth. The main pathways, down-regulated in A compared to D phases after 24 h. were transcriptional regulation, purine nucleotide biosynthesis, and L-aspartate biosynthesis, and the upregulated pathways were fatty acid and phospholipid metabolism as well as ABC transporters and purine nucleotide biosynthesis. Four LB species differed in the duration and amplitude of attachment phases, while growth phases were similar.

conclusionLB spp. biofilm growth and propagation area dynamic, time-dependent processes with species-specific and time specific characteristics. The dynamic of LB biofilm growth agrees with published pathophysiological data and points out that real time evaluation is an important tool in understanding growth of microbial communities.

Indexed as

Bacterial ProteinsBiofilmsElectric ImpedanceExome SequencingGene Expression ProfilingGene Expression Regulation, BacterialLactobacillusSequence Analysis, RNASpecies SpecificityTime FactorsVideo RecordingBacterial ProteinsBiofilmLactobacilliMicro-fermenterReal-time detectionRNA-seqxCELLigence

Identifiers

PMID32209050
PMCPMC7092459
OpenAlexW3013944953

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.