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绿光通过抑制鹅的NF-κB信号通路减轻周期性慢性热应激诱导的肝脏氧化应激和炎症。

Green Light Mitigates Cyclic Chronic Heat-Stress-Induced Liver Oxidative Stress and Inflammation via NF-κB Pathway Inhibition in Geese.

作者信息

Guo Binbin, Yan Leyan, Tang Yi, Du Jie, Dai Zichun, Liu Jie, Lei Mingming, Hou Zhuocheng, Zhu Huanxi

机构信息

Key Laboratory for Crop and Animal Integrated Farming, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.

Jiangsu Province Engineering Research Center of Precision Animal Breeding, Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.

出版信息

Antioxidants (Basel). 2024 Jun 27;13(7):772. doi: 10.3390/antiox13070772.

DOI:10.3390/antiox13070772
PMID:39061842
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11274274/
Abstract

Heat stress (HS) induces various physiological disorders in poultry, negatively impacting feed intake, feed efficiency, and growth performance. Considering the documented anti-stress and growth-promoting benefits of monochromatic green light in poultry, we aimed to investigate its effects on cyclic chronic HS-induced oxidative stress (OS) and inflammation in geese. We established three treatment groups-geese exposed to white light (W), white light with HS treatment (WH), and green light with HS treatment (GH)-treated over a six-week period with daily HS sessions. The results revealed that cyclic chronic HS induced liver OS and inflammation, leading to hepatocellular injury and reduced growth performance and feed intake. In comparison, the growth performance of geese under green light significantly improved. Additionally, liver index, serum, liver malondialdehyde (MDA), interleukin-6 (IL-6), interleukin-8 (IL-8), and tumour necrosis factor-α (TNF-α) levels were reduced. Serum total antioxidant capacity (T-AOC), liver catalase (CAT), and superoxide dismutase (SOD) activity were enhanced, reducing hepatic OS and inflammation. Liver transcriptomic analysis indicated that green light alleviates cyclic chronic HS-induced liver injury and promotes geese growth performance by suppressing NF-κB pathway activation.

摘要

热应激(HS)会在家禽中引发各种生理紊乱,对采食量、饲料效率和生长性能产生负面影响。鉴于已记录的单色绿光在家禽中的抗应激和促进生长的益处,我们旨在研究其对周期性慢性热应激诱导的鹅氧化应激(OS)和炎症的影响。我们设立了三个处理组,即暴露于白光(W)的鹅、接受热应激处理的白光组(WH)和接受热应激处理的绿光组(GH),在六周的时间里每天进行热应激处理。结果显示,周期性慢性热应激会诱发肝脏氧化应激和炎症,导致肝细胞损伤,并降低生长性能和采食量。相比之下,绿光下鹅的生长性能显著提高。此外,肝脏指数、血清、肝脏丙二醛(MDA)、白细胞介素-6(IL-6)、白细胞介素-8(IL-8)和肿瘤坏死因子-α(TNF-α)水平均有所降低。血清总抗氧化能力(T-AOC)、肝脏过氧化氢酶(CAT)和超氧化物歧化酶(SOD)活性增强,减轻了肝脏氧化应激和炎症。肝脏转录组分析表明,绿光通过抑制NF-κB通路激活来减轻周期性慢性热应激诱导的肝脏损伤,并促进鹅的生长性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/4e8e8864a13e/antioxidants-13-00772-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/5cc88f980fd9/antioxidants-13-00772-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/73cb49d570fd/antioxidants-13-00772-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/77a7087c4935/antioxidants-13-00772-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/493e2e9ffcbe/antioxidants-13-00772-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/f2b45dab7a1e/antioxidants-13-00772-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/4e8e8864a13e/antioxidants-13-00772-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/5cc88f980fd9/antioxidants-13-00772-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/73cb49d570fd/antioxidants-13-00772-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/77a7087c4935/antioxidants-13-00772-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/493e2e9ffcbe/antioxidants-13-00772-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/f2b45dab7a1e/antioxidants-13-00772-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2a/11274274/4e8e8864a13e/antioxidants-13-00772-g006.jpg

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Impact of chronic heat stress on behavior, oxidative status and meat quality traits of fast-growing broiler chickens.慢性热应激对快速生长肉鸡的行为、氧化状态及肉质性状的影响
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Assessment of Preference Behavior of Layer Hens under Different Light Colors and Temperature Environments in Long-Time Footage Using a Computer Vision System.
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