Evidence map›Paper›PMID 26909350›Full record

ReviewFrontiers in nutrition2016

Modeling-Enabled Systems Nutritional Immunology.

Meghna Verma, Raquel Hontecillas, Vida Abedi, Andrew Leber, Nuria Tubau-Juni, Casandra Philipson, Adria Carbo, Josep Bassaganya-Riera

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Meghna VermaNutritional Immunology and Molecular Medicine Laboratory (www.nimml.org), Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA; The Center for Modeling Immunity to Enteric Pathogens, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA.
Raquel HontecillasNutritional Immunology and Molecular Medicine Laboratory (www.nimml.org), Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA; The Center for Modeling Immunity to Enteric Pathogens, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA.
Vida AbediNutritional Immunology and Molecular Medicine Laboratory (www.nimml.org), Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA; The Center for Modeling Immunity to Enteric Pathogens, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA.
Andrew LeberNutritional Immunology and Molecular Medicine Laboratory (www.nimml.org), Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA; The Center for Modeling Immunity to Enteric Pathogens, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA.
Nuria Tubau-JuniNutritional Immunology and Molecular Medicine Laboratory (www.nimml.org), Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA; The Center for Modeling Immunity to Enteric Pathogens, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA.
Casandra PhilipsonBioTherapeutics Inc , Blacksburg, VA , USA.
Adria CarboBioTherapeutics Inc , Blacksburg, VA , USA.
Josep Bassaganya-RieraNutritional Immunology and Molecular Medicine Laboratory (www.nimml.org), Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA; The Center for Modeling Immunity to Enteric Pathogens, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review highlights the fundamental role of nutrition in the maintenance of health, the immune response, and disease prevention. Emerging global mechanistic insights in the field of nutritional immunology cannot be gained through reductionist methods alone or by analyzing a single nutrient at a time. We propose to investigate nutritional immunology as a massively interacting system of interconnected multistage and multiscale networks that encompass hidden mechanisms by which nutrition, microbiome, metabolism, genetic predisposition, and the immune system interact to delineate health and disease. The review sets an unconventional path to apply complex science methodologies to nutritional immunology research, discovery, and development through "use cases" centered around the impact of nutrition on the gut microbiome and immune responses. Our systems nutritional immunology analyses, which include modeling and informatics methodologies in combination with pre-clinical and clinical studies, have the potential to discover emerging systems-wide properties at the interface of the immune system, nutrition, microbiome, and metabolism.

Indexed as

big datacomplex systemscomputational modelinginformaticsnutritionnutritional immunologysystems biology

Identifiers

PMID26909350
PMCPMC4754447

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.