Evidence map›Paper›PMID 36904185›Full record

ArticleNutrients2023

Red Meat Intake, Indole-3-Acetate, and

Ana Paula Aguiar Prudêncio, Danielle Cristina Fonseca, Natasha Mendonça Machado, Juliana Tepedino Martins Alves, Priscila Sala, Gabriel R Fernandes, Raquel Susana Torrinhas, Dan Linetzky Waitzberg

Full text read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ana Paula Aguiar PrudêncioLaboratory of Nutrition and Metabolic Surgery of the Digestive System, LIM 35, Department of Gastroenterology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil.ORCID 0000-0003-3294-5909
Danielle Cristina FonsecaLaboratory of Nutrition and Metabolic Surgery of the Digestive System, LIM 35, Department of Gastroenterology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil.
Natasha Mendonça MachadoLaboratory of Nutrition and Metabolic Surgery of the Digestive System, LIM 35, Department of Gastroenterology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil.ORCID 0000-0002-2514-9050
Juliana Tepedino Martins AlvesHospital Sírio Libanês, Department of Medical Clinical Nutrition, Brasilia 70200-730, DF, Brazil.
Priscila SalaFaculty of Nutrition, Universidade São Camilo, São Paulo 04263-200, SP, Brazil.
Gabriel R FernandesInstituto Rene Rachou, Fiocruz Minas, Belo Horizonte 30190-002, MG, Brazil.ORCID 0000-0002-4897-8521
Raquel Susana TorrinhasLaboratory of Nutrition and Metabolic Surgery of the Digestive System, LIM 35, Department of Gastroenterology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil.
Dan Linetzky WaitzbergLaboratory of Nutrition and Metabolic Surgery of the Digestive System, LIM 35, Department of Gastroenterology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil.ORCID 0000-0002-9196-9372

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance Code 001São Paulo Research Foundation 2011/09612-3
6 · The paper itself

Abstract

Roux-en-Y Gastric bypass (RYGB) promotes improvement in type 2 diabetes (T2D) shortly after surgery, with metabolic mechanisms yet to be elucidated. This study aimed to investigate the relationship between food intake, tryptophan metabolism, and gut microbiota on the glycemic control of obese T2D women after RYGB surgery. Twenty T2D women who underwent RYGB were evaluated before and three months after surgery. Food intake data were obtained by a seven-day food record and a food frequency questionnaire. Tryptophan metabolites were determined by untargeted metabolomic analysis, and the gut microbiota was determined by 16S rRNA sequencing. The glycemic outcomes were fasting blood glucose, HbA1C, HOMA-IR, and HOMA-beta. Linear regression models were applied to assess the associations between the changes in food intake, tryptophan metabolism, and gut microbiota on glycemic control after RYGB. All variables changed after RYGB (

Indexed as

Diabetes Mellitus, Type 2Gastric BypassInsulin ResistanceObesity, MorbidRed MeatAcetatesBlood GlucoseEubacterialesFemaleHumansIndolesInsulinRNA, Ribosomal, 16STryptophanAcetatesBlood GlucoseIndolesInsulinRNA, Ribosomal, 16STryptophanfood intakeGut microbiotaindole-3-acetateinsulin resistancemetabolomicsred meatRoux-en-Y Gastric bypasstryptophan metabolismtype 2 diabetes

Identifiers

PMID36904185
PMCPMC10005351

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read13
identifiers read2
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.