{"id":{"repo_id":"sfasu","oai_identifier":"oai:scholarworks.sfasu.edu:etds-1625"},"canonical_url":"https://search.dev.ndltd.org/etd/sfasu/oai:scholarworks.sfasu.edu:etds-1625","repository":{"repo_id":"sfasu","name":"Stephen F. Austin State University","base_url":"https://scholarworks.sfasu.edu/do/oai/"},"display":{"title":"ANALYSIS OF MICROBIOME IN VARIOUS HUMAN MEDICAL CONDITIONS USING NEXT-GENERATION SEQUENCING OF THE 16S rRNA GENE","abstract":"<p>Studies of human microbiomics, spanning diverse anatomical sites, offer a unique perspective into the complex microbial communities within the body. Influenced by age, gender, and disease, it mirrors broader microbial ecosystems. This study specifically delves into the ocular and gastrointestinal tract microbiome, comparing its composition in 43 healthy and diseased patients using 16S rRNA gene sequencing. We identified a rich microbial landscape, identifying over 338 bacterial taxa. Notably, <em>Acinetobacter</em>, <em>Cutibacterium</em>, <em>Acidovorax</em> and <em>Herbaspirillum</em> were prevalent in the ocular samples and<em> Akkermansia, Faecalibacterium, </em>and <em>Anaerostipes</em> were mostly prevalent in gut samples. Moreover, dry eye disease conditions were characterized by a higher prevalence of <em>Carnobacteriaceae</em>, <em>Acinetobacter</em>, and <em>Enterococcaceae</em>, whereas healthy eyes exhibited a distinct microbial composition, including the presence of genera <em>Streptococcus</em> and <em>Staphylococcus</em>. The taxa richness in fecal samples from patients with different disease conditions was strongly associated with an increased abundance of the <em>Propionibacteriaceae</em> family in those with lower gastrointestinal bleeding. The most common taxa abundant throughout the stool samples were <em>Anaerobutyricum, Lachnospiraceae, and Eubacteriales.</em> These specific microbiome signatures offer nuanced insights into ocular and gut health. This integrated approach enhances our capacity to understand gut-eye association and develop targeted therapeutic interventions, emphasizing the translational potential of microbiomics in improving human health.</p>","abstract_html":"&lt;p&gt;Studies of human microbiomics, spanning diverse anatomical sites, offer a unique perspective into the complex microbial communities within the body. Influenced by age, gender, and disease, it mirrors broader microbial ecosystems. This study specifically delves into the ocular and gastrointestinal tract microbiome, comparing its composition in 43 healthy and diseased patients using 16S rRNA gene sequencing. We identified a rich microbial landscape, identifying over 338 bacterial taxa. Notably, &lt;em&gt;Acinetobacter&lt;/em&gt;, &lt;em&gt;Cutibacterium&lt;/em&gt;, &lt;em&gt;Acidovorax&lt;/em&gt; and &lt;em&gt;Herbaspirillum&lt;/em&gt; were prevalent in the ocular samples and&lt;em&gt; Akkermansia, Faecalibacterium, &lt;/em&gt;and &lt;em&gt;Anaerostipes&lt;/em&gt; were mostly prevalent in gut samples. Moreover, dry eye disease conditions were characterized by a higher prevalence of &lt;em&gt;Carnobacteriaceae&lt;/em&gt;, &lt;em&gt;Acinetobacter&lt;/em&gt;, and &lt;em&gt;Enterococcaceae&lt;/em&gt;, whereas healthy eyes exhibited a distinct microbial composition, including the presence of genera &lt;em&gt;Streptococcus&lt;/em&gt; and &lt;em&gt;Staphylococcus&lt;/em&gt;. The taxa richness in fecal samples from patients with different disease conditions was strongly associated with an increased abundance of the &lt;em&gt;Propionibacteriaceae&lt;/em&gt; family in those with lower gastrointestinal bleeding. The most common taxa abundant throughout the stool samples were &lt;em&gt;Anaerobutyricum, Lachnospiraceae, and Eubacteriales.&lt;/em&gt; These specific microbiome signatures offer nuanced insights into ocular and gut health. This integrated approach enhances our capacity to understand gut-eye association and develop targeted therapeutic interventions, emphasizing the translational potential of microbiomics in improving human health.&lt;/p&gt;","abstract_has_math":false,"creators":["Sharma, Pallavi"],"institution":null,"degree_name":"Master of Science - Biology","degree_level":"Thesis","degree_discipline":"Biology","degree_department":null,"school":null,"contributors":["Dr. Alexandra Martynova-Van Kley","Dr. Carmen Montana-Schalk","Dr. James Van Kley"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-12-01T08:00:00Z","date_published":"2024-12-01T08:00:00Z","updated_at":"2026-07-24T04:30:45Z","subjects":["Microbiome","ocular","taxa","gastrointestinal tract","dry eye","Bacteriology","Bioinformatics","Biology","Pathogenic Microbiology"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.sfasu.edu/etds/578","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Alexandra Martynova-Van Kley","Dr. Carmen Montana-Schalk","Dr. James Van Kley"]},{"key":"dc:creator","label":"Author","values":["Sharma, Pallavi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2024-12-10T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science - Biology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Microbiome","ocular","taxa","gastrointestinal tract","dry eye","Bacteriology","Bioinformatics","Biology","Pathogenic Microbiology"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.sfasu.edu/etds/578"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Studies of human microbiomics, spanning diverse anatomical sites, offer a unique perspective into the complex microbial communities within the body. Influenced by age, gender, and disease, it mirrors broader microbial ecosystems. This study specifically delves into the ocular and gastrointestinal tract microbiome, comparing its composition in 43 healthy and diseased patients using 16S rRNA gene sequencing. We identified a rich microbial landscape, identifying over 338 bacterial taxa. Notably, <em>Acinetobacter</em>, <em>Cutibacterium</em>, <em>Acidovorax</em> and <em>Herbaspirillum</em> were prevalent in the ocular samples and<em> Akkermansia, Faecalibacterium, </em>and <em>Anaerostipes</em> were mostly prevalent in gut samples. Moreover, dry eye disease conditions were characterized by a higher prevalence of <em>Carnobacteriaceae</em>, <em>Acinetobacter</em>, and <em>Enterococcaceae</em>, whereas healthy eyes exhibited a distinct microbial composition, including the presence of genera <em>Streptococcus</em> and <em>Staphylococcus</em>. The taxa richness in fecal samples from patients with different disease conditions was strongly associated with an increased abundance of the <em>Propionibacteriaceae</em> family in those with lower gastrointestinal bleeding. The most common taxa abundant throughout the stool samples were <em>Anaerobutyricum, Lachnospiraceae, and Eubacteriales.</em> These specific microbiome signatures offer nuanced insights into ocular and gut health. This integrated approach enhances our capacity to understand gut-eye association and develop targeted therapeutic interventions, emphasizing the translational potential of microbiomics in improving human health.</p>"]},{"key":"dc:title","label":"Title","values":["ANALYSIS OF MICROBIOME IN VARIOUS HUMAN MEDICAL CONDITIONS USING NEXT-GENERATION SEQUENCING OF THE 16S rRNA GENE"]}]}],"canonical_facts":{"dc:contributor":["Dr. Alexandra Martynova-Van Kley","Dr. Carmen Montana-Schalk","Dr. James Van Kley"],"dc:creator":["Sharma, Pallavi"],"dc:date.available":["2024-12-10T08:00:00Z"],"dc:description.abstract":["<p>Studies of human microbiomics, spanning diverse anatomical sites, offer a unique perspective into the complex microbial communities within the body. Influenced by age, gender, and disease, it mirrors broader microbial ecosystems. This study specifically delves into the ocular and gastrointestinal tract microbiome, comparing its composition in 43 healthy and diseased patients using 16S rRNA gene sequencing. We identified a rich microbial landscape, identifying over 338 bacterial taxa. Notably, <em>Acinetobacter</em>, <em>Cutibacterium</em>, <em>Acidovorax</em> and <em>Herbaspirillum</em> were prevalent in the ocular samples and<em> Akkermansia, Faecalibacterium, </em>and <em>Anaerostipes</em> were mostly prevalent in gut samples. Moreover, dry eye disease conditions were characterized by a higher prevalence of <em>Carnobacteriaceae</em>, <em>Acinetobacter</em>, and <em>Enterococcaceae</em>, whereas healthy eyes exhibited a distinct microbial composition, including the presence of genera <em>Streptococcus</em> and <em>Staphylococcus</em>. The taxa richness in fecal samples from patients with different disease conditions was strongly associated with an increased abundance of the <em>Propionibacteriaceae</em> family in those with lower gastrointestinal bleeding. The most common taxa abundant throughout the stool samples were <em>Anaerobutyricum, Lachnospiraceae, and Eubacteriales.</em> These specific microbiome signatures offer nuanced insights into ocular and gut health. This integrated approach enhances our capacity to understand gut-eye association and develop targeted therapeutic interventions, emphasizing the translational potential of microbiomics in improving human health.</p>"],"dc:identifier":["https://scholarworks.sfasu.edu/etds/578"],"dc:subject":["Microbiome","ocular","taxa","gastrointestinal tract","dry eye","Bacteriology","Bioinformatics","Biology","Pathogenic Microbiology"],"dc:title":["ANALYSIS OF MICROBIOME IN VARIOUS HUMAN MEDICAL CONDITIONS USING NEXT-GENERATION SEQUENCING OF THE 16S rRNA GENE"],"thesis:degree_discipline":["Biology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science - Biology"]},"updated_at":"2026-07-24T04:30:45Z"}