Assessment of an exhaled breath test using ultraviolet photoionization time-of-flight mass spectrometry for the monitoring of kidney transplant recipients

• Published in: Molecular biomedicine Vol. 4; no. 1; p. 19
• Main Authors: Feng, Shijian, Xiang, Chengfang, He, Yushi, Li, Zhuoya, Zhao, Zhongjun, Liu, Bohan, Yin, Zhaofa, He, Qiyu, Yang, Yanting, Huang, Zhongli, Lin, Tao, Li, Wenwen, Duan, Yixiang
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 24.06.2023; Springer Nature B.V; Springer
• Subjects: Biomarkers; Biomedical and Life Sciences; Biomedical Engineering/Biotechnology; Biomedicine; Blood pressure; Breath test; Breath tests; Cancer; Classification; Creatinine; Diabetes; Disease; Hemodialysis; Hypertension; Kidney transplantation; Kidney transplants; Mass spectrometry; Metabolism; Molecular Medicine; Nephrology; Noninvasive monitoring; Patients; Scientific imaging; Urine; VOCs; Volatile organic compounds; Breath test; Noninvasive monitoring; Kidney transplantation
• ISSN: 2662-8651; 2662-8651
• DOI: 10.1186/s43556-023-00130-6

Continuous monitoring for immunosuppressive status, infection and complications are a must for kidney transplantation (KTx) recipients. Traditional monitoring including blood sampling and kidney biopsy, which caused tremendous medical cost and trauma. Therefore, a cheaper and less invasive approach was urgently needed. We thought that a breath test has the potential to become a feasible tool for KTx monitoring. A prospective-specimen collection, retrospective-blinded assessment strategy was used in this study. Exhaled breath samples from 175 KTx recipients were collected in West China Hospital and tested by online ultraviolet photoionization time-of-flight mass spectrometry (UVP-TOF–MS). The classification models based on breath test performed well in classifying normal and abnormal values of creatinine, estimated glomerular filtration rate (eGFR), blood urea nitrogen (BUN) and tacrolimus, with AUC values of 0.889, 0.850, 0.849 and 0.889, respectively. Regression analysis also demonstrated the predictive ability of breath test for clinical creatinine, eGFR, BUN, tacrolimus level, as the predicted values obtained from the regression model correlated well with the clinical true values ( p  < 0.05). The findings of this investigation implied that a breath test by using UVP-TOF–MS for KTx recipient monitoring is possible and accurate, which might be useful for future clinical screenings.