Profiling the nasal microbiome in people with multiple sclerosis
Abstract
Details
- Title: Subtitle
- Profiling the nasal microbiome in people with multiple sclerosis
- Creators
- Aracely Miron-Ocampo
- Contributors
- Ashutosh K Mangalam (Advisor)Alexander W Boyden (Committee Member)Dustin Bosch (Committee Member)
- Resource Type
- Thesis
- Degree Awarded
- Master of Science (MS), University of Iowa
- Degree in
- Pathology
- Date degree season
- Spring 2026
- Publisher
- University of Iowa
- Number of pages
- xvi, 90 pages
- Copyright
- Copyright 2026 Aracely Miron-Ocampo
- Language
- English
- Date submitted
- 04/28/2026
- Description illustrations
- color illustrations
- Description bibliographic
- Includes bibliographical references (page 78-90).
- Public Abstract (ETD)
Multiple sclerosis (MS) affects 2.9 million people globally and is the most common neurological condition affecting young adults ages 20-40 in the United States. In MS, the host immune system begins to recognize the myelin sheath as foreign (a break in self-tolerance), resulting in inflammation and subsequent demyelination, leading to impaired signal conduction and eventual axonal loss. This process creates lesions in the brain and spinal cord that cause a range of symptoms, including long-term disability. The most common form of MS is called Relapsing-Remitting Multiple Sclerosis (RRMS) and is characterized by recurrent periods of active disease and partial or complete recovery. Genetics is known to play a role in the risk for developing MS, however, most of the risk comes from a combination of environmental factors, including the microbiome.
The microbiome is the collection of bacteria, viruses, fungi, archaea, and parasites that reside in and on the body. Studying the gut and oral microbiomes in the context of MS has revealed states of microbial imbalance or dysbiosis in MS patients. Little is known about the connection between MS and other microbiomes, such as that of the nose, despite the nose-brain connection through the olfactory system. States of microbial imbalance or dysbiosis have been found in the noses of individuals with other neurological conditions such as Parkinson’s and Alzheimer’s disease. The goal of our study was to make comparisons between RRMS and healthy nasal microbiomes known as healthy controls (HC) to identify differences or patterns that could shed light on our understanding of MS.
To accomplish our goal, nasal swabs from HC individuals and RRMS patients were used to identify the bacterial taxa that were present. The bacteria that made up each individual sample as well as comparisons between HC and RRMS patients were determined. RRMS patients, and HC were also stratified based on sex, age, body mass index (BMI), treatment status, or season. Together, these methods helped identify key differences in the nasal microbiome of people with RRMS.
We observed that RRMS patients had fewer types of bacteria and lower overall diversity compared to HC. This was true even after individuals were grouped based on sex, age, or whether they were receiving treatment. Our study found that the bacterial communities in RRMS were different from those in HC. Specific bacteria were also found to be enriched or depleted in RRMS patients compared to the nasal microbiomes of people without MS. Additionally, to our knowledge, our study is the first to identify nasal microbiome changes in RRMS patients with each changing season. The differences between RRMS patients’ nasal microbiome and those of HC were found to be more pronounced during the summer, spring, and fall.
This study found that the nasal microbiome of people with RRMS is different than that of HC, including decreased diversity and specific bacteria that were enriched or depleted in the RRMS group. These findings are the first step towards a better understanding of the connection between MS and the nasal microbiome. Identifying these differences in the nasal microbiome could lead to the development of prevention strategies and earlier disease detection for MS.
- Academic Unit
- Pathology
- Record Identifier
- 9985177074402771