Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Center for Human Nutrition, Cleveland Clinic, Cleveland, Ohio, USA.
JPEN J Parenter Enteral Nutr. 2021 Nov;45(8):1645-1652. doi: 10.1002/jpen.2277. Epub 2021 Nov 12.
The breath print is a quantitative measurement of molecules in exhaled breath and represents a new frontier for biomarker identification. It is unknown whether this state-of-the-art, noninvasive method can detect malnutrition. We hypothesize that individuals with malnutrition will present with a distinguishable breath print.
We conducted a retrospective chart review on patients with previously analyzed breath samples to identify malnutrition. Breath was analyzed by selected-ion flow-tube mass spectrometry. Registered dietitians conducted a retrospective chart review to collect malnutrition diagnoses and nutrition status indicators. Patients were categorized into one of four groups: pulmonary arterial hypertension (PAH), PAH with malnutrition (PAH-Mal), control, and control with malnutrition (Control-Mal), based on the malnutrition diagnosis present in the patient's chart. Principle component analysis was conducted to characterize the breath print. A logistic regression model with forward selection was used to detect the best breath predictor combination of malnutrition.
A total of 74 patients met inclusion criteria (PAH: 52; PAH-Mal: 10; control: 10; Control-Mal: 2). Levels of 1-octene (PAH-Mal, 5.1 ± 1.2; PAH, 12.5 ± 11.2; P = 0.005) and ammonia (PAH-Mal, 14.6 ± 15.8; PAH, 56.2 ± 64.2; P = 0.013) were reduced in PAH-Mal compared with PAH. The combination of 1-octene (P = 0.010) and 3-methylhexane (P = 0.045) distinguished malnutrition in PAH (receiver operating characteristic area under the curve: 0.8549).
This proof of concept study provides the first evidence that the breath print is altered in malnutrition. Larger prospective studies are needed to validate these results and establish whether breath analysis may be a useful tool to screen for malnutrition in the clinical setting.
呼吸指纹是对呼出气体中分子的定量测量,代表了生物标志物识别的一个新前沿。目前尚不清楚这种最先进的、非侵入性的方法是否可以检测到营养不良。我们假设营养不良的个体将表现出可区分的呼吸指纹。
我们对先前分析过呼吸样本的患者进行了回顾性图表审查,以确定营养不良。通过选择离子流管质谱分析呼吸。注册营养师进行了回顾性图表审查,以收集营养不良诊断和营养状况指标。根据患者图表中的营养不良诊断,患者分为四组之一:肺动脉高压(PAH)、PAH 伴营养不良(PAH-Mal)、对照组和对照组伴营养不良(Control-Mal)。进行主成分分析以描述呼吸指纹。使用向前选择的逻辑回归模型来检测营养不良的最佳呼吸预测组合。
共有 74 名患者符合纳入标准(PAH:52 名;PAH-Mal:10 名;对照组:10 名;Control-Mal:2 名)。1-辛烯(PAH-Mal,5.1±1.2;PAH,12.5±11.2;P=0.005)和氨(PAH-Mal,14.6±15.8;PAH,56.2±64.2;P=0.013)的水平在 PAH-Mal 中低于 PAH。1-辛烯(P=0.010)和 3-甲基己烷(P=0.045)的组合可区分 PAH 中的营养不良(接受者操作特征曲线下面积:0.8549)。
这项概念验证研究首次提供了证据,证明呼吸指纹在营养不良中发生了改变。需要更大的前瞻性研究来验证这些结果,并确定呼吸分析是否可能成为临床环境中筛查营养不良的有用工具。