Multi-tissue transcriptomic profiling reveals the internal physiological landscape of laying hens in cage and cage-free systems

Welfare-friendly housing systems for laying hens, such as cage-free, have become prevalent. However, the physiological effects of housing systems on the laying hens remain poorly understood. Here, we compared behavioral characteristics and transcriptomic profiles from 90 multi-tissue samples among three housing systems: battery cage (BC), barn (BR), and free-range (FR). BR and FR housing promoted behavioral diversity compared to cages. Transcriptome analysis of central tissues (diencephalon and cerebral hemisphere) and peripheral tissues involved in egg production (liver, ovary, oviductal segments of magnum, and uterine) revealed significant enrichment of insulin resistance-related pathways in both diencephalon and liver of BC hens, and enhanced norepinephrine signaling in the cerebrum of BR and FR hens. To validate these findings, we performed a glucose tolerance test to assess insulin sensitivity and quantified the cerebral norepinephrine concentrations by ECD-HPLC. The results showed that BR and FR hens tended to exhibit higher insulin sensitivity and enhanced norepinephrine signaling compared with BC hens. Taken together, our findings suggest that housing conditions markedly shape the internal physiological landscape of laying hens, and also that environment-enriched cage-free contributes to improving metabolic and neurophysiological signaling.

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Publication Details

Journal
Poultry Science
Published
2026-02-18
DOI
https://doi.org/10.1016/j.psj.2026.106650
Primary Topic
Animal Nutrition and Physiology
Type
article
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article

Multi-tissue transcriptomic profiling reveals the internal physiological landscape of laying hens in cage and cage-free systems

Tsuyoshi Shimmura, Kaito Kurogi, Tadahiro Matsubara, Shozo Tomonaga et al.
Poultry Science
Animal Nutrition and Physiology
article

Multi-tissue transcriptomic profiling reveals the internal physiological landscape of laying hens in cage and cage-free systems

Tsuyoshi Shimmura, Kaito Kurogi, Tadahiro Matsubara, Shozo Tomonaga, Chihiro Kase, Tatsuhiko Goto, Kan Sato, Atushi J. Nagano, Jun-ichi Shiraishi, Yuki Higashiura, N. Shimura, Saki Nakamura, Shinobu Yasuo, Ryohei Matsuo, Eiki Asagi, Itufumi Sato
article en

Abstract

Welfare-friendly housing systems for laying hens, such as cage-free, have become prevalent. However, the physiological effects of housing systems on the laying hens remain poorly understood. Here, we compared behavioral characteristics and transcriptomic profiles from 90 multi-tissue samples among three housing systems: battery cage (BC), barn (BR), and free-range (FR). BR and FR housing promoted behavioral diversity compared to cages. Transcriptome analysis of central tissues (diencephalon and cerebral hemisphere) and peripheral tissues involved in egg production (liver, ovary, oviductal segments of magnum, and uterine) revealed significant enrichment of insulin resistance-related pathways in both diencephalon and liver of BC hens, and enhanced norepinephrine signaling in the cerebrum of BR and FR hens. To validate these findings, we performed a glucose tolerance test to assess insulin sensitivity and quantified the cerebral norepinephrine concentrations by ECD-HPLC. The results showed that BR and FR hens tended to exhibit higher insulin sensitivity and enhanced norepinephrine signaling compared with BC hens. Taken together, our findings suggest that housing conditions markedly shape the internal physiological landscape of laying hens, and also that environment-enriched cage-free contributes to improving metabolic and neurophysiological signaling.

Poultry ScienceVol. 105(5)
Nippon Veterinary and Life Science University (JP), Kyushu University (JP), Tohoku University (JP), Kyoto University (JP), Azabu University (JP), Nagoya University (JP), Obihiro University of Agriculture and Veterinary Medicine (JP), Tokyo University of Agriculture and Technology (JP)
Life in Land
Openalex Percentile: Top 46%
Animal Nutrition and Physiology
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