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Record W3143815372 · doi:10.21203/rs.3.rs-339282/v1

Global and temporal state of the human gut microbiome in health and disease

2021· preprint· en· W3143815372 on OpenAlexaff
Saeed Shoaie, Sunjae Lee, Mathieu Almeida, Gholamreza Bidkhori, Nicolas Pons, Florian Plaza Oñate, Emmanuelle Le Chatelier, Neelu Begum, Ceri Proffitt, Dorinês Rosário, Stefania Vaga, Junseok Park, Kalle von Feilitzen, Fredric Johansson, Victoria Meslier, Azadeh Harzandi, Lucie Etienne‐Mesmin, Lindsey Edwards, Vincent Lombard, Franck Gauthier, Claire J. Steves, David Gómez-Cabrero, Bernard Henrissat, Doheon Lee, Debbie L. Shawcross, Stéphanie Blanquet‐Diot, Gordon Proctor, Lars Engstrand, Adil Mardinoğlu, Jens Nielsen, S. Dusko Ehrlich, Mathias Uhlén

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsKootenay Association for Science & Technology
FundersBiotechnology and Biological Sciences Research CouncilEngineering and Physical Sciences Research CouncilMedical Research CouncilScience for Life LaboratoryInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementKing's College LondonNational Research Foundation of KoreaWellcome TrustAgence Nationale de la RechercheMinistry of Science and ICT, South KoreaKnut och Alice Wallenbergs StiftelseUppsala Multidisciplinary Center for Advanced Computational ScienceNational Research FoundationEuropean CommissionDirectorate for Biological SciencesIsrael Institute for Biological ResearchNational Institute for Health and Care Research
KeywordsMicrobiomeDiseaseState (computer science)Gut microbiomeHuman healthBiologyComputational biologyEvolutionary biologyPolitical scienceData scienceMedicineComputer scienceEnvironmental healthBioinformaticsPathology

Abstract

fetched live from OpenAlex

Abstract The role of gut microbiota in humans is of great interest, and metagenomics provided the possibilities for extensively analysing bacterial diversity in health and disease. Here we explored the human gut microbiome samples across 19 countries, performing compositional, functional and integrative analysis. To complement these data and analyse the stability of the microbiome, we followed 86 healthy Swedish individuals over one year, with four sampling times and extensive clinical phenotyping. The integrative analysis of temporal microbiome changes shows the existence of two types of species with a tendency to vary in abundance with time, here called outflow and inflow species. Importantly, the former tends to be enriched in disease, while the latter is enriched in health. We suggest that the decrease of disease-associated outflow and the increase of health-associated inflow species with time may be a fundamental albeit previously unrecognized aspect of the homeostasis maintenance in a healthy microbiome.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.405
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2021
Admission routes1
Has abstractyes

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