Evidence map›Paper›PMID 34603248›Full record

ArticleFrontiers in microbiology2021

Multivariate Analysis in Microbiome Description: Correlation of Human Gut Protein Degraders, Metabolites, and Predicted Metabolic Functions.

Stefano Raimondi, Rosalba Calvini, Francesco Candeliere, Alan Leonardi, Alessandro Ulrici, Maddalena Rossi, Alberto Amaretti

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

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  7. Genetic hypogonadal (Gnrh1bioRxiv : the preprint server for biology · 2024
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  12. Profiling of the intestinal community ofMicrobiome research reports · 2023
    Article
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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

7 authors at 1 institution in 1 country.

Stefano RaimondiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Rosalba CalviniDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Francesco CandeliereDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Alan LeonardiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Alessandro UlriciDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Maddalena RossiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Alberto AmarettiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
University of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein catabolism by intestinal bacteria is infamous for releasing many harmful compounds, negatively affecting the health status, both locally and systemically. In a previous study, we enriched in protein degraders the fecal microbiota of five subjects, utilizing a medium containing protein and peptides as sole fermentable substrates and we monitored their evolution by 16S rRNA gene profiling. In the present study, we fused the microbiome data and the data obtained by the analysis of the volatile organic compounds (VOCs) in the headspace of the cultures. Then, we utilized ANOVA simultaneous component analysis (ASCA) to establish a relationship between metabolites and bacteria. In particular, ASCA allowed to separately assess the effect of subject, time, inoculum concentration, and their binary interactions on both microbiome and volatilome data. All the ASCA submodels pointed out a consistent association between indole and

Indexed as

ASCAdata fusionfunction predictiongut microbiotametagenomicsprotein fermentation

Identifiers

PMID34603248
PMCPMC8484906
OpenAlexW3201110073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.