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Record W4411334103 · doi:10.55905/oelv23n6-087

Influência da microbiota intestinal no desenvolvimento de doenças neurodegenerativas: uma revisão sistemática

2025· article· pt· W4411334103 on OpenAlexaboutno aff
Izabella de Souza Rabelo, Gabriel Adan Araújo Leite, Lorena de Oliveira Tannus, Tuane Carolina Ferreira Moura, Luciana Constantino Silvestre, Fernanda Póvoas dos Anjos, Amanda da Costa Silveira Sabbá

Bibliographic record

VenueOBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA · 2025
Typearticle
Languagept
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMicrobiologyBiologyMedicine

Abstract

fetched live from OpenAlex

Objetivo: Analisar a relação entre a microbiota intestinal e o desenvolvimento de doenças neurodegenerativas. Método: Revisão sistemática conduzida seguindo as recomendações PRISMA, com buscas nas bases MEDLINE, PUBMED e LILACS até agosto de 2024. Foram incluídos estudos de caso-controle e coorte, avaliados pela ferramenta Newcastle-Ottawa (NOS). Dezesseis artigos foram selecionados para análise. Resultados: Os estudos indicaram diferenças significativas na microbiota de indivíduos acometidos, incluindo aumento do filo Bacteroidetes e de bactérias pró-inflamatórias, além de redução de precursores de substâncias que mantêm a integridade imunológica e regulam a permeabilidade intestinal. Algumas doenças, como a Doença de Parkinson, apresentam sintomas iniciais no trato gastrointestinal, sugerindo a contribuição da disbiose para essas condições. Conclusão: A disbiose intestinal pode ser um fator de risco para doenças neurodegenerativas, reforçando a necessidade de mais estudos para explorar essa associação.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.295
Teacher spread0.275 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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