Evidence map›Paper›PMID 37438382›Full record

ArticleScientific reports2023

Gut-microbiota in children and adolescents with obesity: inferred functional analysis and machine-learning algorithms to classify microorganisms.

Margherita Squillario, Carola Bonaretti, Alberto La Valle, Eddi Di Marco, Gianluca Piccolo, Nicola Minuto, Giuseppa Patti, Flavia Napoli, Marta Bassi, Mohamad Maghnie and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  6. ProbioticBrain sciences · 2026
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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

12 authors at 3 institutions in 1 country.

Margherita Squillario *IRCCS Ospedale Policlinico San Martino Genoa, Genoa, Italy.
Carola Bonaretti *Molecular Diagnostics, Analysis Laboratory, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Alberto La Valle *Pediatric Clinic, Regional Center for Pediatric Diabetes, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Eddi Di MarcoMolecular Diagnostics, Analysis Laboratory, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Gianluca PiccoloDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, (DINOGMI), Università degli Studi di Genova, Genoa, Italy.
Nicola MinutoPediatric Clinic, Regional Center for Pediatric Diabetes, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Giuseppa PattiDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, (DINOGMI), Università degli Studi di Genova, Genoa, Italy.
Flavia NapoliDepartment of Pediatrics, Pediatric Clinic, Regional Center for Pediatric Diabetes, IRCCS Istituto Giannina Gaslini, Via Gaslini 5, 16147, Genoa, Italy.
Marta BassiDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, (DINOGMI), Università degli Studi di Genova, Genoa, Italy.
Mohamad MaghnieDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, (DINOGMI), Università degli Studi di Genova, Genoa, Italy.
Giuseppe d'AnnunzioDepartment of Pediatrics, Pediatric Clinic, Regional Center for Pediatric Diabetes, IRCCS Istituto Giannina Gaslini, Via Gaslini 5, 16147, Genoa, Italy. giuseppedannunzio@gaslini.org.
Roberto Biassoni *Molecular Diagnostics, Analysis Laboratory, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Istituto Giannina Gaslini · ITUniversity of Genoa · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fecal microbiome of 55 obese children and adolescents (BMI-SDS 3.2 ± 0.7) and of 25 normal-weight subjects, matched both for age and sex (BMI-SDS - 0.3 ± 1.1) was analysed. Streptococcus, Acidaminococcus, Sutterella, Prevotella, Sutterella wadsworthensis, Streptococcus thermophilus, and Prevotella copri positively correlated with obesity. The inferred pathways strongly associated with obesity concern the biosynthesis pathways of tyrosine, phenylalanine, tryptophan and methionine pathways. Furthermore, polyamine biosynthesis virulence factors and pro-inflammatory lipopolysaccharide biosynthesis pathway showed higher abundances in obese samples, while the butanediol biosynthesis showed low abundance in obese subjects. Different taxa strongly linked with obesity have been related to an increased risk of multiple diseases involving metabolic pathways related to inflammation (polyamine and lipopolysaccharide biosynthesis). Cholesterol, LDL, and CRP positively correlated with specific clusters of microbial in obese patients. The Firmicutes/Bacteroidetes-ratio was lower in obese samples than in controls and differently from the literature we state that this ratio could not be a biomarker for obesity.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaPediatric ObesityAdolescentAlgorithmsChildHumansLipopolysaccharidesLipopolysaccharides

Identifiers

PMID37438382
PMCPMC10338520
OpenAlexW4384028843

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.