Výsledky vyhledávání - "Morgan Essex"

Akademický článek

A realistic benchmark for differential abundance testing and confounder adjustment in human microbiome studies

Autor: Jakob Wirbel, Morgan Essex, Sofia Kirke Forslund, Georg Zeller

Publikováno v: Genome Biology, Vol 25, Iss 1, Pp 1-26 (2024)

Abstract Background In microbiome disease association studies, it is a fundamental task to test which microbes differ in their abundance between groups. Yet, consensus on suitable or optimal statistical methods for differential abundance testing is l

Externí odkaz: https://doaj.org/article/3c475cf29c064a6598e260d535a4baaa

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Akademický článek

Gut microbiota dysbiosis is associated with altered tryptophan metabolism and dysregulated inflammatory response in COVID-19

Publikováno v: npj Biofilms and Microbiomes, Vol 10, Iss 1, Pp 1-15 (2024)

Abstract The clinical course of COVID-19 is variable and often unpredictable. To test the hypothesis that disease progression and inflammatory responses associate with alterations in the microbiome and metabolome, we analyzed metagenome, metabolome,

Externí odkaz: https://doaj.org/article/3800ac4d0de04e14b83d18bba159a41d

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Akademický článek

Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox

Autor: Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal, Guillem Salazar, Peer Bork, Shinichi Sunagawa, Georg Zeller

Publikováno v: Genome Biology, Vol 22, Iss 1, Pp 1-27 (2021)

Abstract The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is scarce, and overoptimistic evaluation and limited cross-study generalization are pre

Externí odkaz: https://doaj.org/article/95e2803d50604883abc56458a1115172

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Akademický článek

Dynamic Changes in Microbiome Composition Following Mare’s Milk Intake for Prevention of Collateral Antibiotic Effect

Autor: Almagul Kushugulova, Ulrike Löber, Saniya Akpanova, Kairat Rysbekov, Samat Kozhakhmetov, Zhanagul Khassenbekova, Morgan Essex, Ayaulym Nurgozhina, Madiyar Nurgaziyev, Dmitriy Babenko, Lajos Markó, Sofia K. Forslund

Publikováno v: Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)

IntroductionProbiotics and prebiotics are widely used for recovery of the human gut microbiome after antibiotic treatment. High antibiotic usage is especially common in children with developing microbiome. We hypothesized that dry Mare’s milk, whic

Externí odkaz: https://doaj.org/article/f70b1e06eda5460aa449ededceb63b1f

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Gut microbiota dysbiosis is associated with altered tryptophan metabolism and dysregulated inflammatory response in severe COVID-19

The clinical course of the 2019 coronavirus disease (COVID-19) is variable and to a substantial degree still unpredictable, especially in persons who have neither been vaccinated nor recovered from previous infection. We hypothesized that disease pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42d76327215d1069727e5ea83c8eb8d4
https://doi.org/10.1101/2022.12.02.518860

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Spondyloarthritis, acute anterior uveitis, and Crohn’s disease have both shared and distinct gut microbiota

Autor: Morgan Essex, Valeria Rios Rodriguez, Judith Rademacher, Fabian Proft, Ulrike Löber, Lajos Markó, Uwe Pleyer, Till Strowig, Jérémy Marchand, Jennifer A. Kirwan, Britta Siegmund, Sofia Kirke Forslund, Denis Poddubnyy

ObjectivesSpondyloarthritis (SpA) is a group of immune-mediated diseases highly concomitant with non-musculoskeletal inflammatory disorders, such as acute anterior uveitis (AAU) and Crohn’s disease (CD). The gut microbiome represents a promising av

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb8aab87a13d78af610ac41ae135807f
https://doi.org/10.1101/2022.05.13.22275044

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Evaluation of microbiome association models under realistic and confounded conditions

Autor: Jakob Wirbel, Morgan Essex, Sofia Kirke Forslund, Georg Zeller

Testing for differential abundance is a crucial task in metagenome-wide association studies, complicated by technical or biological confounding and a lack of consensus regarding statistical methodology. Here, we developed a framework for benchmarking

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ce5c7993b2762a270f70f79894df0b0
https://doi.org/10.1101/2022.05.09.491139

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