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Record W4402468805 · doi:10.1016/j.cirep.2024.200169

Examining the dietary effect of insect meals on the innate immune response of fish: A meta-analysis

2024· article· en· W4402468805 on OpenAlexafffund
Yubing Chen, J.L. Ellis, David Huyben

Bibliographic record

VenueComparative Immunology Reports · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsUniversity of GuelphUniversity of Waterloo
FundersUniversity of Guelph
KeywordsInnate immune systemFish <Actinopterygii>InsectBiologyMeta-analysisImmune systemFish mealZoologyFisheryEcologyImmunologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

• A meta-analysis was performed to investigate the effects of insect meal replacement on fish innate immunity. • 40 % of insect meal replacement resulted in the highest upregulated immune response in fish. • 87.5–100 % of insect meal replacement was found to significantly decrease the immune gene expression level in fish. Insect meal inclusion in aquaculture feed has received increased interest as a sustainable alternative to fishmeal and recent evidence has shown additional effects on modulating the immune response. However, lack of effects of insect meal on fish immunity in a few studies have put these beneficial effects into question. The objective of this meta-analysis was to summarize the effects of fishmeal replacement with insect meal on the innate immune response of several fish species based on differential gene expression via qPCR. A systematic literature search was conducted using online databases including Web of Science and ScienceDirect that found 197 studies as of August 2023, however only 20 studies met the criteria of high-quality studies focused on the immune response of fish and were included in this meta-analysis. The most studied insect meal was from black soldier fly, followed by yellow mealworm, and the most commonly analyzed tissue was the liver, followed by the intestine. The effect of fishmeal replacement with insect meal on fish immune responses were examined using a mixed model, with study as the random effect. This meta-analysis found a non-linear (quadratic) relationship ( P = 0.017) between immune gene expression fold change and the level of fishmeal replacement with insect meal. Based on the fitted quadratic curve, a 40 % replacement of fishmeal with insect meal resulted in the highest upregulated immune response in fish. Fish taxonomic family was also found to have an effect ( P = 0.004) on immune gene expression, where the taxonomic family Moronidae was more affected, with an average fold change of 2.783 (± 0.325). Other variables examined, including the insect type, tissue analyzed, dietary crude protein level, did not affect the immune response ( P > 0.05). This meta-analysis also found that dietary lipid had a significant correlation with immune gene expression, and should be taken into consideration in future studies and meta-analyses. These findings are impactful since they provide evidence for the optimal dietary replacement level of insect meals required to significantly affect the innate immune response across several fish species.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0110.062
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.163
GPT teacher head0.314
Teacher spread0.151 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2024
Admission routes2
Has abstractyes

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