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ACS Nano
| Title: | Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules |
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| Author(s): | Nakhleh MK; Amal H; Jeries R; Broza YY; Aboud M; Gharra A; Ivgi H; Khatib S; Badarneh S; Har-Shai L; Glass-Marmor L; Lejbkowicz I; Miller A; Badarny S; Winer R; Finberg J; Cohen-Kaminsky S; Perros F; Montani D; Girerd B; Garcia G; Simonneau G; Nakhoul F; Baram S; Salim R; Hakim M; Gruber M; Ronen O; Marshak T; Doweck I; Nativ O; Bahouth Z; Shi DY; Zhang W; Hua QL; Pan YY; Tao L; Liu H; Karban A; Koifman E; Rainis T; Skapars R; Sivins A; Ancans G; Liepniece-Karele I; Kikuste I; Lasina I; Tolmanis I; Johnson D; Millstone SZ; Fulton J; Wells JW; Wilf LH; Humbert M; Leja M; Peled N; Haick H; |
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| Address: | "Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology , Haifa 3200003, Israel. Division of Neuroimmunology and Multiple Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty of Medicine, Technion-Israel Institute of Technology , Haifa 31096, Israel. Movement Disorders Clinic, Department of Neurology, Carmel Medical Center, and Rappaport Family Faculty of Medicine, Technion-Israel Institute of Technology , Haifa 31096, Israel. Department of Molecular Pharmacology, Rappaport Family Faculty of Medicine, Technion-Israel Institute of Technology , Haifa 31096, Israel. Univ. Paris-Sud, Faculte de Medecine, Universite Paris-Saclay, AP-HP, Centre National de Reference de l'Hypertension Pulmonaire Severe, Departement Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie, Hopital de Bicetre, UMRS _999, INSERM and Univ. Paris-Sud, Laboratoire d'Excellence (LabEx) en Recherche sur le Medicament et l'Innovation Therapeutique (LERMIT), Centre Chirurgical Marie Lannelongue, Le Plessis Robinson 92350, France. Department of Nephrology and Hypertension Baruch Padeh Medical Center , Poriya 15208, Israel. Department of Obstetrics and Gynecology, Emek Medical Center, Afula 18101, and Rappaport Family Faculty of Medicine, Technion-Israel Institute of Technology , Haifa 31096, Israel. Department of Obstetrics and Gynecology, Nazareth Hospital EMMS, Nazareth, and Faculty of Medicine in the Galilee, Bar Ilan University , Ramat Gan, Israel. The Department of Otolaryngology Head and Neck Surgery, Carmel Medical Center , Haifa 3436212, Israel. Department of Urology, Bnai Zion Medical Center , Haifa 31048, Israel. Department of Oncology, The First Affiliated Hospital of Anhui Medical University , Hefei 230032, China. Internal Medicine C and Gastroenterology Departments, Rambam Medical Center, Rappaport Family Faculty of Medicine, Technion-Israel Institute of Technology , Haifa 3525408, Israel. Department of Gastroenterology, Bnai Zion Hospital and Rappaport Family Faculty of Medicine, Technion-Israel Institute of Technology , Haifa 31096, Israel. Faculty of Medicine, University of Latvia , Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia. Digestive Diseases Centre, GASTRO , 6 Linezeraiela, LV1006 Riga, Latvia. Department of Radiation Oncology, Baptist Cancer Institute (BCI) , 1235 San Marco Boulevard, Suite100, Jacksonville, Florida 32207, United States. Pulmonary and Critical Care Associates, Orange Park, Florida 32073, United States. Pulmonary Diseases, Baptist Medical Center , Jacksonville, Florida 32217, United States. Oncologic Imaging Division, Florida Radiation Oncology Group , Jacksonville, Florida 32217, United States. Thoracic Cancer Unit, Davidoff Cancer Center , RMC, Kaplan Street, Petach Tiqwa 49100, Israel" |
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| Journal Title: | ACS Nano |
| Year: | 2017 |
| Volume: | 20161221 |
| Issue: | 1 |
| Page Number: | 112 - 125 |
| DOI: | 10.1021/acsnano.6b04930 |
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| ISSN/ISBN: | 1936-086X (Electronic) 1936-0851 (Print) 1936-0851 (Linking) |
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| Abstract: | "We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined. Analysis of the artificially intelligent nanoarray also showed that each disease has its own unique breathprint, and that the presence of one disease would not screen out others. Cluster analysis showed a reasonable classification power of diseases from the same categories. The effect of confounding clinical and environmental factors on the performance of the nanoarray did not significantly alter the obtained results. The diagnosis and classification power of the nanoarray was also validated by an independent analytical technique, i.e., gas chromatography linked with mass spectrometry. This analysis found that 13 exhaled chemical species, called volatile organic compounds, are associated with certain diseases, and the composition of this assembly of volatile organic compounds differs from one disease to another. Overall, these findings could contribute to one of the most important criteria for successful health intervention in the modern era, viz. easy-to-use, inexpensive (affordable), and miniaturized tools that could also be used for personalized screening, diagnosis, and follow-up of a number of diseases, which can clearly be extended by further development" |
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| Keywords: | "Adult Artificial Intelligence Biosensing Techniques *Breath Tests Case-Control Studies Disease/*classification Female Gold/chemistry Humans Male Metal Nanoparticles/*chemistry Middle Aged Nanotubes, Carbon/*chemistry *Pattern Recognition, Automated Volati;" |
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| Notes: | "MedlineNakhleh, Morad K Amal, Haitham Jeries, Raneen Broza, Yoav Y Aboud, Manal Gharra, Alaa Ivgi, Hodaya Khatib, Salam Badarneh, Shifaa Har-Shai, Lior Glass-Marmor, Lea Lejbkowicz, Izabella Miller, Ariel Badarny, Samih Winer, Raz Finberg, John Cohen-Kaminsky, Sylvia Perros, Frederic Montani, David Girerd, Barbara Garcia, Gilles Simonneau, Gerald Nakhoul, Farid Baram, Shira Salim, Raed Hakim, Marwan Gruber, Maayan Ronen, Ohad Marshak, Tal Doweck, Ilana Nativ, Ofer Bahouth, Zaher Shi, Da-You Zhang, Wei Hua, Qing-Ling Pan, Yue-Yin Tao, Li Liu, Hu Karban, Amir Koifman, Eduard Rainis, Tova Skapars, Roberts Sivins, Armands Ancans, Guntis Liepniece-Karele, Inta Kikuste, Ilze Lasina, Ieva Tolmanis, Ivars Johnson, Douglas Millstone, Stuart Z Fulton, Jennifer Wells, John W Wilf, Larry H Humbert, Marc Leja, Marcis Peled, Nir Haick, Hossam eng Meta-Analysis Multicenter Study Research Support, Non-U.S. Gov't 2016/12/22 ACS Nano. 2017 Jan 24; 11(1):112-125. doi: 10.1021/acsnano.6b04930. Epub 2016 Dec 21" |
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