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细菌和过敏性炎症实验性豚鼠模型中的代谢谱分析。

Metabolic profiling in experimental guinea pig models of bacterial and allergic inflammation.

作者信息

Hanusrichterova J, Baranovicova E, Barosova R, Kolomaznik M, Mikolka P, Kosutova P, Mokra D, Mokry J, Calkovska A

机构信息

Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 11161/4D, 03601, Martin, Slovakia.

Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 11161/4C, 03601, Martin, Slovakia.

出版信息

Metabolomics. 2025 Mar 23;21(2):43. doi: 10.1007/s11306-025-02239-x.

DOI:10.1007/s11306-025-02239-x
PMID:40123009
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11930882/
Abstract

INTRODUCTION

Based on distinct triggers, bacterial and allergen-induced inflammatory reactions have different pathophysiology. Metabolomic analysis is high-throughput technique that can provide potential biomarkers to distinguish between these responses.

OBJECTIVES

In order to find out the metabolic profiles of two types of inflammation, metabolites were analysed in blood plasma and bronchoalveolar lavage fluid (BALF) of guinea pigs subjected to bacterial lipopolysaccharide (LPS) or allergen ovalbumin (OVA).

METHODS

Hydrogen-1 nuclear magnetic resonance (H NMR) spectroscopy for metabolite analysis was performed in samples of blood plasma and BALF of guinea pigs.

RESULTS

Random forest algorithm built on combination of levels of circulating and BALF metabolites resulted in almost ideal discrimination between acute allergic and bacterial inflammation. The differences between inflammation triggered by LPS and OVA were manifested in shift in energy metabolism, metabolism of branched-chain amino acids (BCAAs)/branched-chain keto acids (BCKAs) with alterations in alanine and glutamine, which are linked with both, ammonia homeostasis as well as gluconeogenesis.

CONCLUSION

Distinct molecule nutrients are to be utilized during acute bacterial and allergic inflammatory response.

摘要

引言

基于不同的触发因素，细菌和过敏原诱导的炎症反应具有不同的病理生理学。代谢组学分析是一种高通量技术，能够提供潜在的生物标志物以区分这些反应。

目的

为了找出两种炎症类型的代谢谱，对接受细菌脂多糖（LPS）或过敏原卵清蛋白（OVA）处理的豚鼠的血浆和支气管肺泡灌洗液（BALF）中的代谢物进行了分析。

方法

对豚鼠血浆和BALF样本进行了用于代谢物分析的氢-1核磁共振（1H NMR）光谱检测。

结果

基于循环和BALF代谢物水平组合构建的随机森林算法几乎能理想地区分急性过敏性炎症和细菌性炎症。LPS和OVA引发的炎症之间的差异表现为能量代谢的变化、支链氨基酸（BCAAs）/支链酮酸（BCKAs）代谢的改变以及丙氨酸和谷氨酰胺的变化，这些变化与氨稳态和糖异生均相关。

结论

在急性细菌性炎症反应和过敏性炎症反应期间会利用不同的分子营养素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/b0aac6699e5a/11306_2025_2239_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/6c95c968aee3/11306_2025_2239_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/34c6f0f655f7/11306_2025_2239_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/4179e740e744/11306_2025_2239_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/f23f351ae113/11306_2025_2239_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/9b590acacae1/11306_2025_2239_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/b0aac6699e5a/11306_2025_2239_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/6c95c968aee3/11306_2025_2239_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/34c6f0f655f7/11306_2025_2239_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/4179e740e744/11306_2025_2239_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/f23f351ae113/11306_2025_2239_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/9b590acacae1/11306_2025_2239_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29a/11930882/b0aac6699e5a/11306_2025_2239_Fig6_HTML.jpg

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