Immune Network Dysregulation Predicts Adverse Outcomes in Infective Endocarditis.

IF 3.1 4区 医学 Q2 INFECTIOUS DISEASES
Isabela Galizzi Fae, Pedro Henrique Oliveira Murta Pinto, Gustavo Brandão Oliveira, Roni Arley Silva Duque, Fernanda Sophya Leite Cambraia, Lucas Chaves Diamante, Guilherme Lelis Costa, Andréa Teixeira-Carvalho, Deisy Morselli Gysi, José Luiz Padilha da Silva, Teresa Cristina Abreu Ferrari, Maria Carmo Pereira Nunes
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Abstract

Infective endocarditis (IE) is characterized by systemic inflammation, yet the contribution of cytokine network dysregulation to clinical outcomes remains poorly understood. We aimed to evaluate cytokine co-expression patterns in IE and identify immune network signatures associated with in-hospital mortality and major complications. We conducted a prospective cohort study of adult patients hospitalized with IE at a quaternary public hospital in Brazil (2012-2024). Serum cytokines and chemokines were measured at one to three time points during hospitalization. Weighted topological overlap (wTO) and Co-expression Differential Network Analysis (CoDiNA) were used to characterize cytokine interactions in baseline. Logistic mixed-effects models assessed associations between individual cytokines and in-hospital mortality. Of 305 screened patients, 160 met inclusion criteria (41 deaths; in-hospital mortality 25.6%). Survivors exhibited dense, integrated cytokine interaction networks, whereas non-survivors showed markedly fragmented networks with loss of connectivity across multiple cytokines. IFN-γ and IL-1RA formed a preserved but isolated axis in fatal cases, while IL-7 displayed outcome-specific connectivity in patients with infectious complications. A distinct triad involving IFN-γ, IL-1RA, and IL-6 differentiated patients with cardiac complications. In multivariable models adjusted for age, sex, and sampling time, CCL2 was independently associated with in-hospital mortality. Immune network disruption is strongly associated with adverse outcomes in IE. Distinct cytokine signatures, including altered interactions of IFN-γ, IL-1RA, IL-6, IL-7, and CCL2, identify high-risk patients and reveal potential biological pathways underlying clinical deterioration.

免疫网络失调预测感染性心内膜炎的不良后果。
感染性心内膜炎(IE)的特点是全身性炎症,然而细胞因子网络失调对临床结果的影响仍然知之甚少。我们旨在评估IE中细胞因子的共表达模式,并确定与住院死亡率和主要并发症相关的免疫网络特征。我们对2012-2024年在巴西一家第四公立医院住院的IE成年患者进行了一项前瞻性队列研究。在住院期间的一至三个时间点测量血清细胞因子和趋化因子。使用加权拓扑重叠(wTO)和共表达差异网络分析(CoDiNA)来表征基线时细胞因子的相互作用。Logistic混合效应模型评估了个体细胞因子与住院死亡率之间的关系。在305例筛查患者中,160例符合纳入标准(41例死亡,住院死亡率25.6%)。幸存者表现出密集、整合的细胞因子相互作用网络,而非幸存者表现出明显的碎片化网络,失去了多种细胞因子之间的连通性。IFN-γ和IL-1RA在死亡病例中形成了保存但分离的轴,而IL-7在感染性并发症患者中显示出结果特异性连通性。涉及IFN-γ、IL-1RA和IL-6的独特三联征分化了心脏并发症患者。在调整了年龄、性别和采样时间的多变量模型中,CCL2与住院死亡率独立相关。免疫网络破坏与IE的不良后果密切相关。不同的细胞因子特征,包括IFN-γ、IL-1RA、IL-6、IL-7和CCL2相互作用的改变,可以识别高危患者并揭示临床恶化的潜在生物学途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tropical Medicine and Infectious Disease
Tropical Medicine and Infectious Disease Medicine-Public Health, Environmental and Occupational Health
CiteScore
3.90
自引率
10.30%
发文量
353
审稿时长
11 weeks
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