Yak bone collagen-derived anti-inflammatory bioactive peptides alleviate lipopolysaccharide-induced inflammatory by inhibiting the NF-κB signaling pathway and nitric oxide production

化学 一氧化氮 生物化学 脂多糖 体外 高效液相色谱法 超滤(肾) 色谱法 免疫学 生物 有机化学
作者
Yuliang Yang,Lingyu Zhu,Zitao Guo,Chunyu Liu,Bo Hu,Moying Li,Zhenghua Gu,Yu Xin,Haiyan Sun,Yanming Guan,Liang Zhang
出处
期刊:Food bioscience [Elsevier BV]
卷期号:52: 102423-102423 被引量:19
标识
DOI:10.1016/j.fbio.2023.102423
摘要

Anti-inflammatory peptides that derived from food attract more and more attention due to their wide range of sources and easy absorption. In this study, the aim was to identify and characterize anti-inflammatory peptides from yak bone collagen. The prepared yak bone collagen peptides (YBCPs) was separated, purified and identified through ultrafiltration, reverse-phase high-performance liquid chromatography (RP-HPLC), and nano-liquid chromatography–tandem mass spectrometry (nano LC-MS/MS) successively. Finally, a total of 115 peptides were identified. After that, 12 peptides were screened out based on the predicted biological activity score. Molecular docking results indicated that 6 peptides (GPAGPSGPAGK, GPAGPSGPAGKDGR, GPSGPQGIR, GPAGPQGPR, GEAGPAGPAGPAGPR, and GEGGPQGPR) could successfully interact with the key factors in the nuclear factor kappa-B (NF-κB) signaling pathway and nitric oxide (NO) production due to form various bonds such as salt bridge, conventional hydrogen bond, and carbon-hydrogen bond. The anti-inflammatory effects of these 6 peptides were further verified by in vitro cell test. Results indicated that the 6 peptides might play an anti-inflammatory role by regulating different proteins in the NF-κB signaling pathway and NO production. This study would further promote the application of yak bone collagen in health food.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
东方千筹完成签到,获得积分20
4秒前
5秒前
6秒前
Zhenggg发布了新的文献求助30
6秒前
6秒前
喜懒100发布了新的文献求助10
6秒前
bkagyin应助zzzzzz采纳,获得10
6秒前
10秒前
卜卜发布了新的文献求助50
12秒前
我是老大应助懒惰馨采纳,获得20
14秒前
17秒前
18秒前
丘比特应助蓝天采纳,获得10
19秒前
阿讓发布了新的文献求助10
20秒前
frankyeah完成签到,获得积分10
21秒前
22秒前
不厌完成签到 ,获得积分10
22秒前
清风完成签到 ,获得积分10
22秒前
橘子完成签到,获得积分10
22秒前
hr完成签到 ,获得积分10
23秒前
隐形曼青应助zc采纳,获得10
23秒前
漂亮123完成签到,获得积分10
23秒前
rodion完成签到 ,获得积分10
25秒前
frankyeah发布了新的文献求助50
25秒前
25秒前
lqcolleen完成签到,获得积分10
26秒前
小江不饿完成签到,获得积分10
26秒前
26秒前
上官若男应助kitty采纳,获得10
27秒前
27秒前
27秒前
方舟应助Sisyphus采纳,获得10
28秒前
10086发布了新的文献求助10
30秒前
百宝发布了新的文献求助10
31秒前
31秒前
星辰大海应助阿讓采纳,获得10
32秒前
Jane发布了新的文献求助50
34秒前
清新的慕凝完成签到,获得积分10
35秒前
36秒前
晚随月完成签到 ,获得积分10
36秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359503
求助须知:如何正确求助?哪些是违规求助? 8173510
关于积分的说明 17214610
捐赠科研通 5414555
什么是DOI,文献DOI怎么找? 2865497
邀请新用户注册赠送积分活动 1842839
关于科研通互助平台的介绍 1691052