| Title: | Volatile organic compound profiling to explore primary graft dysfunction after lung transplantation |
| Author(s): | Stefanuto PH; Romano R; Rees CA; Nasir M; Thakuria L; Simon A; Reed AK; Marczin N; Hill JE; |
| Address: | "Thayer School of Engineering, Dartmouth College, Hanover, NH, USA. Organic and Biological Analytical Chemistry Group, Liege University, Liege, Belgium. Department of Surgery and Cancer, Section of Anaesthetics, Imperial College of London, London, UK. Harefield Hospital, Royal Brompton and Harefield NHS Foundation Trust, Harefield, UK. Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. Department of Anesthesia and Intensive Care, Semmelweis University, Budapest, Hungary. Thayer School of Engineering, Dartmouth College, Hanover, NH, USA. jane.hill@ubc.ca. Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. jane.hill@ubc.ca. Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada. jane.hill@ubc.ca" |
| DOI: | 10.1038/s41598-022-05994-2 |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| Abstract: | "Primary graft dysfunction (PGD) is a major determinant of morbidity and mortality following lung transplantation. Delineating basic mechanisms and molecular signatures of PGD remain a fundamental challenge. This pilot study examines if the pulmonary volatile organic compound (VOC) spectrum relate to PGD and postoperative outcomes. The VOC profiles of 58 bronchoalveolar lavage fluid (BALF) and blind bronchial aspirate samples from 35 transplant patients were extracted using solid-phase-microextraction and analyzed with comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry. The support vector machine algorithm was used to identify VOCs that could differentiate patients with severe from lower grade PGD. Using 20 statistically significant VOCs from the sample headspace collected immediately after transplantation (< 6 h), severe PGD was differentiable from low PGD with an AUROC of 0.90 and an accuracy of 0.83 on test set samples. The model was somewhat effective for later time points with an AUROC of 0.80. Three major chemical classes in the model were dominated by alkylated hydrocarbons, linear hydrocarbons, and aldehydes in severe PGD samples. These VOCs may have important clinical and mechanistic implications, therefore large-scale study and potential translation to breath analysis is recommended" |
| Keywords: | Adult Breath Tests Bronchoalveolar Lavage Fluid/*chemistry Bronchoscopy Female Gas Chromatography-Mass Spectrometry Humans Lung Injury/*diagnosis Lung Transplantation/*adverse effects/methods/mortality Male Metabolomics Middle Aged Pilot Projects Primary; |
| Notes: | "MedlineStefanuto, Pierre-Hugues Romano, Rosalba Rees, Christiaan A Nasir, Mavra Thakuria, Louit Simon, Andre Reed, Anna K Marczin, Nandor Hill, Jane E eng T32 LM012204/LM/NLM NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't England 2022/02/10 Sci Rep. 2022 Feb 8; 12(1):2053. doi: 10.1038/s41598-022-05994-2" |
