Evidence map›Paper›PMID 37456066›Full record

ArticleEcology and evolution2023

Adaptive host responses to infection can resemble parasitic manipulation.

Camilla Håkonsrud Jensen, Jacqueline Weidner, Jarl Giske, Christian Jørgensen, Sigrunn Eliassen, Adèle Mennerat

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Camilla Håkonsrud JensenDepartment of Biological Sciences University of Bergen Bergen Norway.ORCID https://orcid.org/0000-0001-7557-7742
Jacqueline WeidnerDepartment of Biological Sciences University of Bergen Bergen Norway.ORCID https://orcid.org/0000-0001-8489-4539
Jarl GiskeDepartment of Biological Sciences University of Bergen Bergen Norway.ORCID https://orcid.org/0000-0001-5034-8177
Christian JørgensenDepartment of Biological Sciences University of Bergen Bergen Norway.ORCID https://orcid.org/0000-0001-7087-4625
Sigrunn EliassenDepartment of Biological Sciences University of Bergen Bergen Norway.ORCID https://orcid.org/0000-0001-6728-3699
Adèle MenneratDepartment of Biological Sciences University of Bergen Bergen Norway.ORCID https://orcid.org/0000-0003-0368-7197
University of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using a dynamic optimisation model for juvenile fish in stochastic food environments, we investigate optimal hormonal regulation, energy allocation and foraging behaviour of a growing host infected by a parasite that only incurs an energetic cost. We find it optimal for the infected host to have higher levels of orexin, growth and thyroid hormones, resulting in higher activity levels, increased foraging and faster growth. This growth strategy thus displays several of the fingerprints often associated with parasite manipulation: higher levels of metabolic hormones, faster growth, higher allocation to reserves (i.e. parasite-induced gigantism), higher risk-taking and eventually higher predation rate. However, there is no route for manipulation in our model, so these changes reflect adaptive host compensatory responses. Interestingly, several of these changes also increase the fitness of the parasite. Our results call for caution when interpreting observations of gigantism or risky host behaviours as parasite manipulation without further testing.

Indexed as

gigantismhormone strategyhost compensationhost–parasite coevolutionparasite manipulation

Identifiers

PMID37456066
PMCPMC10349281
OpenAlexW4384408435

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.