dc.contributor.author | Yıldırım, Süleyman | |
dc.contributor.author | Nalbantoğlu, Özkan Ufuk | |
dc.contributor.author | Bayraktar, Abdulahad | |
dc.contributor.author | Ercan, Fatma Betül | |
dc.contributor.author | Gündoğdu, Aycan | |
dc.contributor.author | Velioğlu, Halil Aziz | |
dc.contributor.author | Göl, Mehmet Fatih | |
dc.contributor.author | Ekinci Soylu, Ayten | |
dc.contributor.author | Koç, Fatma | |
dc.contributor.author | Aslan Gülpınar, Ezgi | |
dc.contributor.author | Soğukkanlı Kadak, Kübra | |
dc.contributor.author | Arıkan, Muzaffer | |
dc.contributor.author | Mardinoğlu, Adil | |
dc.contributor.author | Koçak, Mehmet | |
dc.contributor.author | Köseoğlu, Emel | |
dc.contributor.author | Hanoğlu, Lütfü | |
dc.date.accessioned | 2022-03-08T06:11:28Z | |
dc.date.available | 2022-03-08T06:11:28Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.citation | Yıldırım, S., Nalbantoğlu, Ö. U., Bayraktar, A., Ercan, F. B., Gündoğdu, A., Velioğlu, H. A. ... Hanoğlu, L. (2022). Stratification of the gut microbiota composition landscape across the alzheimer's disease continuum in a Turkish cohort. mSystems, 7(1). https://doi.org/10.1128/msystems.00004-22 | en_US |
dc.identifier.issn | 2379-5077 | |
dc.identifier.uri | https://doi.org/10.1128/msystems.00004-22 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12511/9102 | |
dc.description.abstract | Alzheimer's disease (AD) is a heterogeneous disorder that spans a continuum with multiple phases, including preclinical, mild cognitive impairment, and dementia. Unlike for most other chronic diseases, human studies reporting on AD gut microbiota in the literature are very limited. With the scarcity of approved drugs for AD therapies, the rational and precise modulation of gut microbiota composition using diet and other tools is a promising approach to the management of AD. Such an approach could be personalized if an AD continuum can first be deconstructed into multiple strata based on specific microbiota features by using single or multiomics techniques. However, stratification of AD gut microbiota has not been systematically investigated before, leaving an important research gap for gut microbiota-based therapeutic approaches. Here, we analyze 16S rRNA amplicon sequencing of stool samples from 27 patients with mild cognitive impairment, 47 patients with AD, and 51 nondemented control subjects by using tools compatible with the compositional nature of microbiota. To stratify the AD gut microbiota community, we applied four machine learning techniques, including partitioning around the medoid clustering and fitting a probabilistic Dirichlet mixture model, the latent Dirichlet allocation model, and we performed topological data analysis for population-scale microbiome stratification based on the Mapper algorithm. These four distinct techniques all converge on Prevotella and Bacteroides stratification of the gut microbiota across the AD continuum, while some methods provided fine-scale resolution in stratifying the community landscape. Finally, we demonstrate that the signature taxa and neuropsychometric parameters together robustly classify the groups. Our results provide a framework for precision nutrition approaches aiming to modulate the AD gut microbiota. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | American Society for Microbiology | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | 16S rRNA | en_US |
dc.subject | Alzheimer’s Disease | en_US |
dc.subject | Brain-Gut Axis | en_US |
dc.subject | Gut Microbiome | en_US |
dc.subject | Gut Microbiota | en_US |
dc.subject | Precision Medicine | en_US |
dc.subject | Precision Nutrition | en_US |
dc.subject | Stratification | en_US |
dc.title | Stratification of the gut microbiota composition landscape across the alzheimer's disease continuum in a Turkish cohort | en_US |
dc.type | article | en_US |
dc.relation.ispartof | mSystems | en_US |
dc.department | İstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Tıbbi Mikrobiyoloji Ana Bilim Dalı | en_US |
dc.department | İstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER) | en_US |
dc.department | İstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü | en_US |
dc.department | İstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Nöroloji Ana Bilim Dalı | en_US |
dc.authorid | 0000-0002-2752-1223 | en_US |
dc.authorid | 0000-0002-2306-5937 | en_US |
dc.authorid | 0000-0002-0368-4028 | en_US |
dc.authorid | 0000-0002-9855-8859 | en_US |
dc.authorid | 0000-0003-4292-5717 | en_US |
dc.identifier.volume | 7 | en_US |
dc.identifier.issue | 1 | en_US |
dc.relation.ec | info:eu-repo/grantAgreement/TUBITAK/SOBAG/2236-115C056 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1128/msystems.00004-22 | en_US |
dc.institutionauthor | Yıldırım, Süleyman | |
dc.institutionauthor | Ercan, Fatma Betül | |
dc.institutionauthor | Velioğlu, Halil Aziz | |
dc.institutionauthor | Koç, Fatma | |
dc.institutionauthor | Soğukkanlı Kadak, Kübra | |
dc.institutionauthor | Arıkan, Muzaffer | |
dc.institutionauthor | Hanoğlu, Lütfü | |
dc.identifier.wosquality | Q1 | en_US |
dc.identifier.wos | 000760774900005 | en_US |
dc.identifier.scopus | 2-s2.0-85125143432 | en_US |
dc.identifier.pmid | 35133187 | en_US |
dc.identifier.scopusquality | Q1 | en_US |