↓ Skip to main content

Consistent and reproducible long-term in vitro growth of health and disease-associated oral subgingival biofilms

Overview of attention for article published in BMC Microbiology, July 2018
Altmetric Badge

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Consistent and reproducible long-term in vitro growth of health and disease-associated oral subgingival biofilms
Published in
BMC Microbiology, July 2018
DOI 10.1186/s12866-018-1212-x
Pubmed ID
Authors

Irina M. Velsko, Luciana M. Shaddox

Abstract

Several in vitro oral biofilm growth systems can reliably construct oral microbiome communities in culture, yet their stability and reproducibility through time has not been well characterized. Long-term in vitro growth of natural biofilms would enable use of these biofilms in both in vitro and in vivo studies that require complex microbial communities with minimal variation over a period of time. Understanding biofilm community dynamics in continuous culture, and whether they maintain distinct signatures of health and disease, is necessary to determine the reliability and applicability of such models to broader studies. To this end, we performed next-generation sequencing on biofilms grown from healthy and disease-site subgingival plaque for 80 days to assess stability and reliability of continuous oral biofilm growth. Biofilms were grown from subgingival plaque collected from periodontitis-affected sites and healthy individuals for ten eight-day long generations, using hydroxyapatite disks. The bacterial community in each generation was determined using Human Oral Microbe Identification by Next-Generation Sequencing (HOMINGS) technology, and analyzed in QIIME. Profiles were steady through the ten generations, as determined by species abundance and prevalence, Spearman's correlation coefficient, and Faith's phylogenetic distance, with slight variation predominantly in low abundance species. Community profiles were distinct between healthy and disease site-derived biofilms as demonstrated by weighted UniFrac distance throughout the ten generations. Differentially abundant species between healthy and disease site-derived biofilms were consistent throughout the generations. Healthy and disease site-derived biofilms can reliably maintain consistent communities through ten generations of in vitro growth. These communities maintain signatures of health and disease and of individual donors despite culture in identical environments. This subgingival oral biofilm growth and perpetuation model may prove useful to studies involving oral infection or cell stimulation, or those measuring microbial interactions, which require the same biofilms over a period of time.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 45%
Student > Bachelor 3 15%
Researcher 3 15%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 6 30%
Chemistry 5 25%
Agricultural and Biological Sciences 2 10%
Immunology and Microbiology 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Other 1 5%
Unknown 2 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 November 2019.
All research outputs
#11,940,100
of 14,998,885 outputs
Outputs from BMC Microbiology
#1,546
of 2,251 outputs
Outputs of similar age
#202,824
of 272,421 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 14,998,885 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,251 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them