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조회438

부산대학교병원

Biosens. Bioelectron., Volume 194, 15 Dec 2021, 113567 | https://doi.org/10.1016/j.bios.2021.113567 A DNA-derived phage nose using machine learning and artificial neural processing for diagnosing lung cancer

Jong-Min Lee ^a,i,1, Eun Jeong Choi ^a,1, Jae Heun Chung ^b,h,1, Ki-wook Lee ^c,1, Yujin Lee^d, Ye-Ji Kim ^d, Won-Geun Kim ^a, Seong Hoon Yoon ^b,h, Hee Yun Seol ^b,h, Vasanthan Devaraj a, Jong Seong Ha ^e, Donghan Lee ^f, Sang-Mo Kwon^e, Yun Seong Kim ^b,h, Chulhun L. Chang ^g, Jin-Woo Oh ^a,c

^aBio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea
^bDepartment of Internal Medicine, College of Medicine, Pusan National University, Pusan National University Yangsan Hospital, Yangsan, 50612, South Korea
^cDepartment of Electrical and Computer Engineering, University of Illinois at Urbana−Champaign, Urbana, IL, 61801, United States
^dDepartment of Nano Fusion Technology, Pusan National University, Busan, 46241, South Korea
^eDepartment of Physiology, School of Medicine, Pusan National University, Yangsan, 50612, South Korea
^fDepartment of Physics, Chungnam National University, Daejeon, 34134, South Korea
^gDepartment of Laboratory Medicine, College of Medicine, Pusan National University, Yangsan, 50612, South Korea
^hResearch Institute of Convergence Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, 50612, South Korea
ⁱSchool of Nano Convergence Technology, Hallym University, Chuncheon, Gangwon-do, 24252, South Korea

¹These authors contributed equally to this work.
Corresponding authors: Sang-Mo Kwon, Yun Seong Kim, Chulhun L. Chang, Jin-Woo Oh

Abstract

There is a growing interest in electronic nose-based diagnostic systems that are fast and portable. However, existing technologies are suitable only for operation in the laboratory, making them difficult to apply in a rapid, non-face-to-face, and field-suitable manner. Here, we demonstrate a DNA-derived phage nose (D2pNose) as a portable respiratory disease diagnosis system requiring no pretreatment. D2pNose was produced based on phage colour films implanted with DNA sequences from mammalian olfactory receptor cells, and as a result, it possesses the comprehensive reactivity of these cells. The manipulated surface chemistry of the genetically engineered phages was verified through a correlation analysis between the calculated and the experimentally measured reactivity. Breaths from 31 healthy subjects and 31 lung cancer patients were collected and exposed to D2pNose without pretreatment. With the help of deep learning and neural pattern separation, D2pNose has achieved a diagnostic success rate of over 75% and a classification success rate of over 86% for lung cancer based on raw human breath. Based on these results, D2pNose can be expected to be directly applicable to other respiratory diseases.

논문정보

형식Research article
게재일2021년 12월 (BRIC 등록일 2023-08-07)
연구진국내(교신)+국외 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

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