Full metadata
Title
Oral Microbiome Analysis Reveals Potential for Streamlining Diagnosis of Rheumatoid Arthritis
Description
Rheumatoid Arthritis (RA) is an autoimmune disorder where the body mistakenly attacks healthy joints. This in turn causes inflammation resulting in pain and swelling. It is very important to get RA accurately diagnosed and treated as early as possible. Similarly, with any disease: the longer it is left untreated, the more damage it can cause. RA can cause irreversible joint damage leading to disability. The purpose of this study is to determine if oral microbiome can be used as an additional criterion to aid in diagnosing RA. Several oral microbes have already been identified as biomarkers for RA in saliva. In this study, 10 participants were recruited: 6 diagnosed with RA and 4 Healthy as a control. Two subgroups of RA were done within this study; those diagnose with a positive Rheumatoid Factor (RF) and those diagnose with a negative RF. These subgroups were then compared in order to determine the validity of using certain microbes as biomarkers for RA even when different diagnostic criteria were met. The microbe Parahaemolyticus had the largest measure of effect, showing the greatest potential for statistically significant results with a larger sample size. If we can work narrow to down specific microbes to be undoubtedly higher in abundance with already diagnosed RA patients when comparing to healthy participants, this will be a gamechanger. Not only could we give a higher sense of confidence with the diagnosis of RA, but this could streamline RA diagnosis.
Date Created
2020-12
Contributors
- Nunez, Celeste (Author)
- Marshall, Pamela (Thesis director)
- Hackney Price, Jennifer (Committee member)
- Kizer, Elizabeth (Committee member)
- College of Health Solutions (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
72 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2020-2021
Handle
https://hdl.handle.net/2286/R.I.62441
Level of coding
minimal
Cataloging Standards
System Created
- 2020-11-13 09:45:25
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
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