Evidence map›Paper›PMID 30954680›Full record

ArticleInsect biochemistry and molecular biology2019

Diet modulates the relationship between immune gene expression and functional immune responses.

Sheena C Cotter, Catherine E Reavey, Yamini Tummala, Joanna L Randall, Robert Holdbrook, Fleur Ponton, Stephen J Simpson, Judith A Smith, Kenneth Wilson

Open access · hybridAbstract read
In one paragraph

Article in Insect biochemistry and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 93 citations in OpenAlex.

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  10. Evolution of innate immunity: lessons from mammalian models shaping our current view of insect immunity.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
    Review
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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

9 authors at 4 institutions in 2 countries.

Sheena C CotterSchool of Life Sciences, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, UK. Electronic address: scotter@lincoln.ac.uk.
Catherine E ReaveyLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
Yamini TummalaLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
Joanna L RandallLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
Robert HoldbrookLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
Fleur PontonCharles Perkins Centre, University of Sydney, NSW, 2006, Australia; Department of Biological Sciences, Macquarie University, NSW, 2109, Australia.
Stephen J SimpsonCharles Perkins Centre, University of Sydney, NSW, 2006, Australia.
Judith A SmithSchool of Forensic and Applied Sciences, University of Central Lancashire, Preston, Lancashire, PR1 2HE, UK.
Kenneth WilsonLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
Lancaster University · GBThe University of Sydney · AUUniversity of Lancashire · GBUniversity of Lincoln · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I02249X/1
6 · The paper itself

Abstract

Nutrition is vital to health and the availability of resources has long been acknowledged as a key factor in the ability to fight off parasites, as investing in the immune system is costly. Resources have typically been considered as something of a "black box", with the quantity of available food being used as a proxy for resource limitation. However, food is a complex mixture of macro- and micronutrients, the precise balance of which determines an animal's fitness. Here we use a state-space modelling approach, the Geometric Framework for Nutrition (GFN), to assess for the first time, how the balance and amount of nutrients affects an animal's ability to mount an immune response to a pathogenic infection. Spodoptera littoralis caterpillars were assigned to one of 20 diets that varied in the ratio of macronutrients (protein and carbohydrate) and their calorie content to cover a large region of nutrient space. Caterpillars were then handled or injected with either live or dead Xenorhabdus nematophila bacterial cells. The expression of nine genes (5 immune, 4 non-immune) was measured 20 h post immune challenge. For two of the immune genes (PPO and Lysozyme) we also measured the relevant functional immune response in the hemolymph. Gene expression and functional immune responses were then mapped against nutritional intake. The expression of all immune genes was up-regulated by injection with dead bacteria, but only those in the IMD pathway (Moricin and Relish) were substantially up-regulated by both dead and live bacterial challenge. Functional immune responses increased with the protein content of the diet but the expression of immune genes was much less predictable. Our results indicate that diet does play an important role in the ability of an animal to mount an adequate immune response, with the availability of protein being the most important predictor of the functional (physiological) immune response. Importantly, however, immune gene expression responds quite differently to functional immunity and we would caution against using gene expression as a proxy for immune investment, as it is unlikely to be reliable indicator of the immune response, except under specific dietary conditions.

Indexed as

AnimalsDietGene Expression RegulationHemolymphHost-Pathogen InteractionsImmunity, InnateInsect ProteinsLarvaSpodopteraXenorhabdusInsect ProteinsBacteriaDietGeometric frameworkHost-pathogen interactionImmunityInsectNutritional ecologyResistanceSpodopteraToleranceXenorhabdus

Identifiers

PMID30954680
PMCPMC6527921
OpenAlexW2929723735

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.