Suppr超能文献

通过无标记定量蛋白质组学筛选鸡血清中的热应激相关生物标志物。

Screening of heat stress-related biomarkers in chicken serum through label-free quantitative proteomics.

机构信息

Key Laboratory of Tropical Animal Breeding and Epidemic Disease Research of Hainan Province, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570100, China.

Key Laboratory of Tropical Animal Breeding and Epidemic Disease Research of Hainan Province, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570100, China.

出版信息

Poult Sci. 2024 Feb;103(2):103340. doi: 10.1016/j.psj.2023.103340. Epub 2023 Nov 30.

Abstract

Heat stress (HS) can result in sudden death and is one of the most stressful and costly events in chicken. Currently, biomarkers used clinically to detect heat stress state in chickens are not optimal, especially for living ones. Analysis of changes in serum proteins of heat-stressed chickens can help to identify some novel convenient biomarkers for this. Twenty-four chickens were exposed to HS at 42°C ± 1°C with a relative humidity of 65% for continuous 5 h in a single day, and 10 birds were used as controls (Con). During HS, 15 dead chickens were categorized as heat stress death group (HSD), and 9 surviving ones served as heat stress survivor group (HSS). Label-free quantitative proteomics (LFQP) was used to analyze differentially expressed proteins (DEPs) in serum of tested animals. Candidate proteins associated with HS were validated by enzyme-linked immunosorbent assay (ELISA). Diagnostic value of candidate biomarkers was assessed using receiver operating characteristic (ROC) curve analysis. Source of the selected proteins was analyzed in liver tissues with immunohistochemistry and in cell culture supernatant of primary chicken hepatocytes (PCH) using ELISA. In this study, compared to Con, LFQP identified 123 and 53 significantly different serum proteins in HSD and HSS, respectively. Bioinformatics analysis showed that XDH, POSTN, and HSP90 were potential HS biomarkers in tested chickens, which was similar with results from serum ELISAs and immunohistochemistry in liver tissues. The ROC values of 0.793, 0.752, and 0.779 for XDH, POSTN, and HSP90, respectively, permitted the distinction of heat-stressed chickens from the control. Levels of 3 proteins above in the cell culture supernatant of PCH showed an increasing trend as HS time increased. Therefore, considering that mean concentration of POSTN in serum was higher than that of HSP90, XDH, and POSTN may be optimal biomarkers in serum for detecting HS level in chickens, and mainly secreted from hepatocytes. The former indicates that heat-stressed chickens are in a damaged state, and the latter implies that chickens can repair heat stress damage.

摘要

热应激(HS)可导致鸡突然死亡,是鸡最具压力和成本最高的事件之一。目前,临床上用于检测鸡热应激状态的生物标志物并不理想,特别是对于活体鸡。分析热应激鸡血清蛋白的变化有助于识别一些新的方便的生物标志物。将 24 只鸡暴露于 42°C±1°C、相对湿度为 65%的环境中,每天连续 5 小时,其中 10 只作为对照(Con)。在热应激过程中,15 只死亡的鸡被归类为热应激死亡组(HSD),9 只存活的鸡被归类为热应激存活组(HSS)。使用无标记定量蛋白质组学(LFQP)分析受试动物血清中差异表达的蛋白质(DEPs)。通过酶联免疫吸附测定(ELISA)验证与 HS 相关的候选蛋白。使用受试者工作特征(ROC)曲线分析评估候选生物标志物的诊断价值。通过免疫组织化学和原代鸡肝细胞(PCH)的细胞培养上清液 ELISA 分析选定蛋白质的来源。在这项研究中,与 Con 相比,HSD 和 HSS 分别有 123 和 53 个显著不同的血清蛋白通过 LFQP 鉴定。生物信息学分析表明,XDH、POSTN 和 HSP90 是受试鸡潜在的 HS 生物标志物,与血清 ELISA 和肝组织免疫组织化学结果相似。XDH、POSTN 和 HSP90 的 ROC 值分别为 0.793、0.752 和 0.779,允许将热应激鸡与对照鸡区分开来。在 PCH 的细胞培养上清液中,上述 3 种蛋白质的水平随着热应激时间的增加呈上升趋势。因此,考虑到 POSTN 在血清中的平均浓度高于 HSP90、XDH 和 POSTN,可能是检测鸡 HS 水平的最佳血清生物标志物,主要由肝细胞分泌。前者表明热应激鸡处于受损状态,后者表明鸡可以修复热应激损伤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcf/10770749/395774ebe0c0/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验