Pseudomonas aeruginosa Planktonic- and Biofilm-Conditioned Media Elicit Discrete Metabolic Responses in Human Macrophages.
Pseudomonas aeruginosa Planktonic- and Biofilm-Conditioned Media Elicit Discrete Metabolic Responses in Human Macrophages.
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作者：
Fuchs AL;Miller IR;Schiller SM;Ammons MCB;Eilers B;Tripet B;Copié V
巨噬细胞（MΦs）是普遍存在的先天免疫细胞，存在于整个人体组织中，它们协调先天和适应性免疫反应以维持细胞稳态。MΦs有能力显示广泛的功能表型由于不同的微环境线索，特别是可溶性细菌分泌产物。最近的证据表明，除了能量和生物分子前体的产生外，新陈代谢还支持MΦ功能和可塑性。在这项研究中，基于1D 1h - nmr的代谢组学被用于鉴定原发性人单核细胞来源MΦ暴露于铜绿假单胞菌浮游和生物膜培养基（PCM和BCM）后代谢途径的差异改变。PCM和bcm暴露MΦs的代谢谱显示糖酵解代谢、嘌呤生物合成和肌醇磷酸代谢显著增加。此外，这些代谢模式表明，与pcm暴露相比，bcm暴露MΦs表现出高炎症代谢特征，甘油代谢减少，乳酸和氨基酸分解代谢升高MΦs。总之，我们的研究揭示了人类MΦs暴露于分泌性微生物产物后代谢调节的新发现，并为MΦs的免疫代谢领域提供了额外的知识。
Macrophages (MΦs) are prevalent innate immune cells, present throughout human bodily tissues where they orchestrate innate and adaptive immune responses to maintain cellular homeostasis. MΦs have the capacity to display a wide array of functional phenotypes due to different microenvironmental cues, particularly soluble bacterial secretory products. Recent evidence has emerged demonstrating that metabolism supports MΦ function and plasticity, in addition to energy and biomolecular precursor production. In this study, 1D 1H-NMR-based metabolomics was used to identify the metabolic pathways that are differentially altered following primary human monocyte-derived MΦ exposure to P. aeruginosa planktonic- and biofilm-conditioned media (PCM and BCM). Metabolic profiling of PCM- and BCM-exposed MΦs indicated a significant increase in glycolytic metabolism, purine biosynthesis, and inositol phosphate metabolism. In addition, these metabolic patterns suggested that BCM-exposed MΦs exhibit a hyperinflammatory metabolic profile with reduced glycerol metabolism and elevated catabolism of lactate and amino acids, relative to PCM-exposed MΦs. Altogether, our study reveals novel findings concerning the metabolic modulation of human MΦs after exposure to secretory microbial products and contributes additional knowledge to the field of immunometabolism in MΦs.
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影响因子：
7.3
作者：
Diskin C;Pålsson-McDermott EM
通讯作者：
Pålsson-McDermott EM
DOI：
10.1038/nri.2016.100
发表时间：
2016-11
期刊：
Nature reviews. Immunology
影响因子：
--
作者：
Cadwell K
通讯作者：
Cadwell K
影响因子：
64.5
作者：
Buck MD;Sowell RT;Kaech SM;Pearce EL
通讯作者：
Pearce EL
DOI：
10.1038/nrc.2016.71
发表时间：
2016-10
期刊：
Nature reviews. Cancer
影响因子：
--
作者：
Altman BJ;Stine ZE;Dang CV
通讯作者：
Dang CV
影响因子：
14.9
作者：
Chong J;Soufan O;Li C;Caraus I;Li S;Bourque G;Wishart DS;Xia J
通讯作者：
Xia J