Lipidomic signatures of ventilator-associated pneumonia in COVID-19 ARDS patients: a new frontier for diagnostic biomarkers.

IF 5.7 1区 医学 Q1 CRITICAL CARE MEDICINE
Arthur Kassa-Sombo, Charles Verney, Augustin Pasquet, Julien Vaidie, Deborah Brea, Virginie Vasseur, Adeline Cezard, Antoine Lefevre, Camille David, Eric Piver, Lydie Nadal-Desbarats, Patrick Emond, Hélène Blasco, Mustapha Si-Tahar, Antoine Guillon
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引用次数: 0

Abstract

Background: Ventilator-associated pneumonia (VAP) is a significant complication in mechanically ventilated patients. Paradoxically, it lacks precise diagnostic criteria, making the identification of a reliable diagnostic indicator an unmet medical need. Lipids are critical regulators of innate lung defense. The aim of the study was to identify lipid alterations specific to VAP in tracheal aspirates of patients with ARDS.

Methods: Tracheal aspirates samples from ventilated patients were collected longitudinally from patients with COVID-19-related ARDS. Tracheal aspirates sampled at the day of VAP diagnosis were used to assess VAP specific lipidome and were compared with matched controls (patients without VAP). Lipid detection was performed using ultra-high-performance liquid chromatography with high resolution mass spectrometry. The statistical analysis included: unsupervised multivariate methods, partial least squares discriminant analysis (PLS-DA), orthogonal partial least squares discriminant analysis (OPLS-DA), and the area under the receiver operating characteristic (AUROC) curve to assess classification performance. The Benjamini-Hochberg adjusted p-value was used to control the false discovery rate.

Results: We studied 39 patients (26 VAP and 13 control patients). The characteristics of VAP and control patients were similar, including biological markers such as neutrophils, CRP, and PCT. The lipid signature, composed of 272 lipids, differed between VAP and control patients (p = 0.003). Phosphatidylcholines were the most represented with 17 significantly upregulated and 6 downregulated lipids. OPLSDA identified 8 best candidates as VAP biomarkers with sphingomyelin (34:1) and phosphatidylcholine (O-34:1) presenting the best scores (AUROC = 0.85 [0.71-0.95] and 0.83 [0.66-0.94], respectively). Combinations of several lipid biomarkers did not improve the prediction accuracy. During ARDS, lung lipidome mostly resulted in breakdown product of host-pathogen interactions (surfactant and pulmonary cells).

Conclusion: We investigated VAP-specific lipids in tracheal aspirate and identified significant alterations in lipidomic profiles, likely driven by active infection dynamic and the breakdown of surfactant and pulmonary cells. Among the potential VAP biomarker candidates in COVID-19 ARDS, sphingomyelin (34:1) and phosphatidylcholine (O-34:1) demonstrated predictive performance for VAP that surpassed all previously tested biomarkers.

COVID-19 ARDS患者呼吸机相关肺炎的脂质组学特征:诊断生物标志物的新前沿
背景:呼吸机相关性肺炎(VAP)是机械通气患者的重要并发症。矛盾的是,它缺乏精确的诊断标准,使确定可靠的诊断指标成为一种未得到满足的医疗需求。脂质是先天肺防御的关键调节因子。该研究的目的是确定急性呼吸窘迫综合征患者气管吸入物中VAP特异性的脂质改变。方法:从covid -19相关ARDS患者中纵向采集通气患者的气管吸入物样本。在VAP诊断当天采集的气管吸入物用于评估VAP特异性脂质组,并与匹配的对照组(无VAP的患者)进行比较。脂质检测采用超高效液相色谱-高分辨质谱法。统计分析包括:无监督多变量方法、偏最小二乘判别分析(PLS-DA)、正交偏最小二乘判别分析(OPLS-DA)和受试者工作特征曲线下面积(AUROC)评价分类效果。采用Benjamini-Hochberg校正p值控制错误发现率。结果:39例患者(VAP 26例,对照组13例)。VAP患者和对照组患者的特征相似,包括中性粒细胞、CRP和PCT等生物标志物,由272种脂质组成的脂质特征在VAP患者和对照组之间存在差异(p = 0.003)。以磷脂酰胆碱类为代表,有17种脂质显著上调,6种脂质显著下调。OPLSDA鉴定出8个最佳候选VAP生物标志物,鞘磷脂(34:1)和磷脂酰胆碱(O-34:1)得分最高(AUROC分别为0.85[0.71-0.95]和0.83[0.66-0.94])。几种脂质生物标志物的组合并没有提高预测的准确性。急性呼吸窘迫综合征时,肺脂质主要是宿主与病原体相互作用的分解产物(表面活性剂和肺细胞)。结论:我们研究了气管吸入物中vap特异性脂质,并发现了脂质组学谱的显著改变,可能是由活动性感染动态和表面活性剂和肺细胞的分解驱动的。在COVID-19 ARDS的潜在VAP生物标志物候选中,鞘磷脂(34:1)和磷脂酰胆碱(O-34:1)对VAP的预测性能优于所有先前测试的生物标志物。
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来源期刊
Annals of Intensive Care
Annals of Intensive Care CRITICAL CARE MEDICINE-
CiteScore
14.20
自引率
3.70%
发文量
107
审稿时长
13 weeks
期刊介绍: Annals of Intensive Care is an online peer-reviewed journal that publishes high-quality review articles and original research papers in the field of intensive care medicine. It targets critical care providers including attending physicians, fellows, residents, nurses, and physiotherapists, who aim to enhance their knowledge and provide optimal care for their patients. The journal's articles are included in various prestigious databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, OCLC, PubMed, PubMed Central, Science Citation Index Expanded, SCOPUS, and Summon by Serial Solutions.
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