Intertwining of the IGF system and animal welfare

To date, husbandry categories are defined based on the human concept of animal needs, however, to objectively assess animal welfare in defined husbandry systems, animal-related indicators must be evaluated. Here, we studied the impact of differential housing conditions on factors of the insulin-like growth factor system (IGF-system) in mother sows either housed in a conventional husbandry system corresponding to the regulations of the German husbandry form 1, or in the associated ecological facility, corresponding to the German husbandry form 4/5. Utilizing a proprietary bioassay that determines the activity of the IGF system at the level of intracellular signal transduction, we revealed altered serum IGF bioactivities in differentially housed sows. Moreover, we present a comprehensive analysis of the individual factors of the IGF system in serum of pregnant and lactating sows to elucidate which of these are modified depending on the housing conditions. An unsupervised principal component analysis suggests that IGF system factors might distinguish sows based on their housing environment. These results imply that the IGF system provides a solid basis for the documentation and objective assessment of animal health and welfare. However, a robust biomarker system for animal welfare assessment will likely require a multifactorial and integrative approach.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-04
DOI
https://doi.org/10.1038/s41598-026-42315-3
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intertwining of the IGF system and animal welfare

Anja Eggert, Daniela Ohde, Andreas Hoeflich, Anne-Marie Galow et al.
Scientific Reports
Animal Behavior and Welfare Studies
article

Intertwining of the IGF system and animal welfare

Anja Eggert, Daniela Ohde, Andreas Hoeflich, Anne-Marie Galow, Christina Walz, Chaithra Umesh, Marianne Zenk, Saptarshi Bej, Olaf Wolkenhauer
article en

Abstract

To date, husbandry categories are defined based on the human concept of animal needs, however, to objectively assess animal welfare in defined husbandry systems, animal-related indicators must be evaluated. Here, we studied the impact of differential housing conditions on factors of the insulin-like growth factor system (IGF-system) in mother sows either housed in a conventional husbandry system corresponding to the regulations of the German husbandry form 1, or in the associated ecological facility, corresponding to the German husbandry form 4/5. Utilizing a proprietary bioassay that determines the activity of the IGF system at the level of intracellular signal transduction, we revealed altered serum IGF bioactivities in differentially housed sows. Moreover, we present a comprehensive analysis of the individual factors of the IGF system in serum of pregnant and lactating sows to elucidate which of these are modified depending on the housing conditions. An unsupervised principal component analysis suggests that IGF system factors might distinguish sows based on their housing environment. These results imply that the IGF system provides a solid basis for the documentation and objective assessment of animal health and welfare. However, a robust biomarker system for animal welfare assessment will likely require a multifactorial and integrative approach.

Scientific ReportsVol. 16(1)
Research Institute for Farm Animal Biology (FBN) (DE), University of Rostock (DE), Indian Institute of Science Education and Research Thiruvananthapuram (IN)
Openalex Percentile: Top 34%
Animal Behavior and Welfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.