Evidence map›Paper›PMID 30241567›Full record

Trial reportMicrobiome2018

A reverse metabolic approach to weaning: in silico identification of immune-beneficial infant gut bacteria, mining their metabolism for prebiotic feeds and sourcing these feeds in the natural product space.

Samanta Michelini, Biju Balakrishnan, Silvia Parolo, Alice Matone, Jane A Mullaney, Wayne Young, Olivier Gasser, Clare Wall, Corrado Priami, Rosario Lombardo and 1 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Microbiome, 2018. 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
0.9field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  3. The Exometabolome ofMetabolites · 2024
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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

11 authors at 6 institutions in 2 countries.

Samanta MicheliniThe Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Biju BalakrishnanThe Liggins Institute, the University of Auckland, Auckland, New Zealand.
Silvia ParoloThe Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Alice MatoneThe Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Jane A MullaneyAgResearch, Food & Bio-based Products, Palmerston North, New Zealand.
Wayne YoungAgResearch, Food & Bio-based Products, Palmerston North, New Zealand.
Olivier GasserMalaghan Institute of Medical Research, Wellington, New Zealand.
Clare WallDiscipline of Nutrition, School of Medical Science, University of Auckland, Auckland, New Zealand.
Corrado PriamiThe Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Rosario LombardoThe Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy. lombardo@cosbi.eu.ORCID 0000-0003-4517-3004
Martin KussmannThe Liggins Institute, the University of Auckland, Auckland, New Zealand.
University of Trento · ITAgResearch · NZUniversity of Auckland · NZMalaghan Institute of Medical Research · NZStatistics New Zealand · NZUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeaning is a period of marked physiological change. The introduction of solid foods and the changes in milk consumption are accompanied by significant gastrointestinal, immune, developmental, and microbial adaptations. Defining a reduced number of infections as the desired health benefit for infants around weaning, we identified in silico (i.e., by advanced public domain mining) infant gut microbes as potential deliverers of this benefit. We then investigated the requirements of these bacteria for exogenous metabolites as potential prebiotic feeds that were subsequently searched for in the natural product space.

resultsUsing public domain literature mining and an in silico reverse metabolic approach, we constructed probiotic-prebiotic-food associations, which can guide targeted feeding of immune health-beneficial microbes by weaning food; analyzed competition and synergy for (prebiotic) nutrients between selected microbes; and translated this information into designing an experimental complementary feed for infants enrolled in a pilot clinical trial ( http://www.nourishtoflourish.auckland.ac.nz/ ).

conclusionsIn this study, we applied a benefit-oriented microbiome research strategy for enhanced early-life immune health. We extended from "classical" to molecular nutrition aiming to identify nutrients, bacteria, and mechanisms that point towards targeted feeding to improve immune health in infants around weaning. Here, we present the systems biology-based approach we used to inform us on the most promising prebiotic combinations known to support growth of beneficial gut bacteria ("probiotics") in the infant gut, thereby favorably promoting development of the immune system.

Indexed as

Gastrointestinal MicrobiomeBacteriaComputer SimulationFeeding BehaviorFemaleGastrointestinal TractHumansImmune SystemInfantInfant FoodInfant HealthMaleMetabolomicsPrebioticsWeaningPrebioticsComplementary feedingInfant gut microbiomeInfectionKnowledge extractionPrebioticProbioticReverse ecologySystems biology

Identifiers

PMID30241567
PMCPMC6151060
OpenAlexW2890494803

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.