Aghaeepour Nima, Kin Cindy, Ganio Edward A, Jensen Kent P, Gaudilliere Dyani K, Tingle Martha, Tsai Amy, Lancero Hope L, Choisy Benjamin, McNeil Leslie S, Okada Robin, Shelton Andrew A, Nolan Garry P, Angst Martin S, Gaudilliere Brice L
Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94121.
Department of Surgery, Stanford University School of Medicine, Stanford, CA 94121.
J Immunol. 2017 Sep 15;199(6):2171-2180. doi: 10.4049/jimmunol.1700421. Epub 2017 Aug 9.
Application of high-content immune profiling technologies has enormous potential to advance medicine. Whether these technologies reveal pertinent biology when implemented in interventional clinical trials is an important question. The beneficial effects of preoperative arginine-enriched dietary supplements (AES) are highly context specific, as they reduce infection rates in elective surgery, but possibly increase morbidity in critically ill patients. This study combined single-cell mass cytometry with the multiplex analysis of relevant plasma cytokines to comprehensively profile the immune-modifying effects of this much-debated intervention in patients undergoing surgery. An elastic net algorithm applied to the high-dimensional mass cytometry dataset identified a cross-validated model consisting of 20 interrelated immune features that separated patients assigned to AES from controls. The model revealed wide-ranging effects of AES on innate and adaptive immune compartments. Notably, AES increased STAT1 and STAT3 signaling responses in lymphoid cell subsets after surgery, consistent with enhanced adaptive mechanisms that may protect against postsurgical infection. Unexpectedly, AES also increased ERK and P38 MAPK signaling responses in monocytic myeloid-derived suppressor cells, which was paired with their pronounced expansion. These results provide novel mechanistic arguments as to why AES may exert context-specific beneficial or adverse effects in patients with critical illness. This study lays out an analytical framework to distill high-dimensional datasets gathered in an interventional clinical trial into a fairly simple model that converges with known biology and provides insight into novel and clinically relevant cellular mechanisms.
高内涵免疫分析技术的应用在推动医学发展方面具有巨大潜力。当这些技术应用于干预性临床试验时,它们是否能揭示相关生物学现象是一个重要问题。术前富含精氨酸的膳食补充剂(AES)的有益效果具有高度的背景特异性,因为它们能降低择期手术的感染率,但可能会增加重症患者的发病率。本研究将单细胞质谱流式细胞术与相关血浆细胞因子的多重分析相结合,以全面分析这种备受争议的干预措施对手术患者免疫调节的影响。应用于高维质谱流式细胞术数据集的弹性网络算法确定了一个交叉验证模型,该模型由20个相互关联的免疫特征组成,可将接受AES治疗的患者与对照组区分开来。该模型揭示了AES对固有免疫和适应性免疫区室的广泛影响。值得注意的是,AES增加了术后淋巴细胞亚群中的STAT1和STAT3信号反应,这与可能预防术后感染的适应性机制增强一致。出乎意料的是,AES还增加了单核细胞来源的髓源性抑制细胞中的ERK和P38 MAPK信号反应,这与它们的显著扩增相关。这些结果为AES为何可能在重症患者中产生背景特异性的有益或不利影响提供了新的机制依据。本研究构建了一个分析框架,将干预性临床试验中收集的高维数据集提炼成一个相当简单的模型,该模型与已知生物学知识相契合,并为新的和临床相关的细胞机制提供了见解。