Evidence map›Paper›PMID 33125392›Full record

ArticlePloS one2020

Gut microbiota ecology: Biodiversity estimated from hybrid neutral-niche model increases with health status and aging.

Claudia Sala, Enrico Giampieri, Silvia Vitali, Paolo Garagnani, Daniel Remondini, Armando Bazzani, Claudio Franceschi, Gastone C Castellani

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. The Gut and Skin Microbiome and Its Association with Aging Clocks.International journal of molecular sciences · 2024
    Review
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  5. 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

8 authors at 3 institutions in 3 countries.

Claudia SalaDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.ORCID 0000-0002-4889-1047
Enrico GiampieriDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Silvia VitaliBCAM-Basque Center for Applied Mathematics, Bilbao, Bizkaia, Spain.
Paolo GaragnaniDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Daniel RemondiniDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Armando BazzaniDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Claudio FranceschiLobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.
Gastone C CastellaniDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
University of Bologna · ITBasque Center for Applied Mathematics · ESN. I. Lobachevsky State University of Nizhny Novgorod · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work we propose an index to estimate the gut microbiota biodiversity using a modeling approach with the aim of describing its relationship with health and aging. The gut microbiota, a complex ecosystem that links nutrition and metabolism, has a pervasive effect on all body organs and systems, undergoes profound changes with age and life-style, and substantially contributes to the pathogenesis of age-related diseases. For these reasons, the gut microbiota is a suitable candidate for assessing and quantifying healthy aging, i.e. the capability of individuals to reach an advanced age, avoiding or postponing major age-related diseases. The importance of the gut microbiota in health and aging has been proven to be related not only to its taxonomic composition, but also to its ecological properties, namely its biodiversity. Following an ecological approach, here we intended to characterize the relationship between the gut microbiota biodiversity and healthy aging through the development a parsimonious model of gut microbiota from which biodiversity can be estimated. We analysed publicly available metagenomic data relative to subjects of different ages, countries, nutritional habits and health status and we showed that a hybrid niche-neutral model well describes the observed patterns of bacterial relative abundance. Moreover, starting from such ecological modeling, we derived an estimate of the gut microbiota biodiversity that is consistent with classical indices, while having a higher statistical power. This allowed us to unveil an increase of the gut microbiota biodiversity during aging and to provide a good predictor of health status in old age, dependent on life-style and aging disorders.

Indexed as

AgingGastrointestinal MicrobiomeModels, BiologicalAdolescentAdultAgedAged, 80 and overBiodiversityChildChild, PreschoolDatabases, Nucleic AcidFemaleHealth StatusHealthy AgingHumansInfantRNA, Ribosomal, 16S

Identifiers

PMID33125392
PMCPMC7599046
OpenAlexW3096284913

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.