DataVXACS NanoPaper
journal article·2017-01-24Open access

Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules

Morad K. Nakhleh, Haitham Amal, Raneen Jeries, Yoav Y. Broza, Manal Aboud, Alaa Gharra, Hodaya Ivgi, Salam Khatib, Shifaa Badarneh, Lior Har-Shai, Lea Glass-Marmor, Izabella Lejbkowicz, Ariel Miller, Samih Badarny, Raz Winer, John Finberg, Sylvia Cohen-Kaminsky, Frédéric Perros, David Montani, Barbara Girerd, Gilles Garcia, Gérald Simonneau, Farid Nakhoul, Shira Baram, Raed Salim, Marwan Hakim, Maayan Gruber, Ohad Ronen, Tal Marshak, Ilana Doweck, Ofer Nativ, Zaher Bahouth, Da-you Shi, Wei Zhang, Qing-ling Hua, Yue-yin Pan, Li Tao, Hu Liu, Amir Karban, Eduard Koifman, Tova Rainis, Roberts Skapars, Armands Sivins, Guntis Ancans, Inta Liepniece-Karele, Ilze Kikuste, Ieva Lasina, Ivars Tolmanis, Douglas Johnson, Stuart Z. Millstone, Jennifer Fulton, John W. Wells, Larry H. Wilf, Marc Humbert, Marcis Leja, Nir Peled, Hossam Haick

ACS Nano· Volume 11· Issue 1
Publisher pageOpen full text
Source abstract

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.
Source: openalex_inverted_index · Quality: baseline

Research context

Nanomaterials

OpenAlex topics: Advanced Chemical Sensor Technologies · Gas Sensing Nanomaterials and Sensors · Analytical Chemistry and Chromatography

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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, Faculté de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence de l′Hypertension Pulmonaire Sévère, Département Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie, Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud, Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament et l′Innovation Thérapeutique (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

Funding

European Research Council · Seventh Framework Programme

References (72)

Show source-provided references
1. 10.1038/scientificamerican0792-7410.1038/scientificamerican0792-74 ↗
2. 10.1002/bmc.83510.1002/bmc.835 ↗
3. 10.1039/C3CS60329F10.1039/C3CS60329F ↗
4. 10.1002/anie.20150015310.1002/anie.201500153 ↗
5. 10.1088/1752-7155/8/1/01600310.1088/1752-7155/8/1/016003 ↗
6. 10.2217/nnm.14.12110.2217/nnm.14.121 ↗
7. 10.2217/nnm.13.6410.2217/nnm.13.64 ↗
8. 10.1021/cr300174a10.1021/cr300174a ↗
9. 10.1088/1752-7155/8/1/01400110.1088/1752-7155/8/1/014001 ↗
10. 10.1088/0022-3727/40/23/S0110.1088/0022-3727/40/23/S01 ↗
11. 10.1016/j.tube.2012.04.00210.1016/j.tube.2012.04.002 ↗
12. 10.1016/j.tube.2010.01.00310.1016/j.tube.2010.01.003 ↗
13. 10.1183/09031936.0001581410.1183/09031936.00015814 ↗
14. 10.1164/rccm.201303-0467LE10.1164/rccm.201303-0467LE ↗
15. 10.1088/1752-7155/10/2/02600410.1088/1752-7155/10/2/026004 ↗
16. 10.1007/s12127-011-0078-510.1007/s12127-011-0078-5 ↗
17. 10.1183/09031936.0000561410.1183/09031936.00005614 ↗
18. 10.1371/journal.pone.009533110.1371/journal.pone.0095331 ↗
19. 10.1088/1752-7155/10/2/02100210.1088/1752-7155/10/2/021002 ↗
20. 10.1586/erm.10.11210.1586/erm.10.112 ↗
21. 10.1016/S0140-6736(98)07552-710.1016/S0140-6736(98)07552-7 ↗
22. 10.7150/thno.756010.7150/thno.7560 ↗
23. 10.1002/ijc.2970110.1002/ijc.29701 ↗
24. 10.1136/gutjnl-2014-30853610.1136/gutjnl-2014-308536 ↗
25. 10.1002/ijc.2916610.1002/ijc.29166 ↗
26. 10.1016/j.nano.2011.10.00110.1016/j.nano.2011.10.001 ↗
27. 10.18632/oncotarget.626910.18632/oncotarget.6269 ↗
28. 10.1038/bjc.2014.41110.1038/bjc.2014.411 ↗
29. 10.1038/bjc.2011.12810.1038/bjc.2011.128 ↗
30. 10.1097/JTO.0b013e3182637d5f10.1097/JTO.0b013e3182637d5f ↗
31. 10.1038/sj.bjc.660581010.1038/sj.bjc.6605810 ↗
32. 10.1038/nnano.2009.23510.1038/nnano.2009.235 ↗
33. 10.1136/bmj.287.6392.59410.1136/bmj.287.6392.594 ↗
34. 10.1093/fampra/2.1.110.1093/fampra/2.1.1 ↗
35. 10.2174/138920021666615062512154610.2174/1389200216666150625121546 ↗
36. 10.1002/smll.20150190410.1002/smll.201501904 ↗
37. 10.1021/ar400070m10.1021/ar400070m ↗
38. 10.1021/acsnano.6b0144110.1021/acsnano.6b01441 ↗
39. 10.1016/j.proeng.2011.12.38510.1016/j.proeng.2011.12.385 ↗
40. 10.1063/1.305052410.1063/1.3050524 ↗
41. 10.1016/j.aca.2012.10.03610.1016/j.aca.2012.10.036 ↗
42. 10.1016/0925-4005(91)80172-G10.1016/0925-4005(91)80172-G ↗
43. 10.1021/acsnano.6b0312710.1021/acsnano.6b03127 ↗
44. 10.1021/nl404335p10.1021/nl404335p ↗
45. 10.1002/admt.20160013210.1002/admt.201600132 ↗
46. 10.1002/adfm.20160232610.1002/adfm.201602326 ↗
47. 10.1021/nl504482t10.1021/nl504482t ↗
48. 10.1002/adma.20150564110.1002/adma.201505641 ↗
49. 10.1021/cn200060310.1021/cn2000603 ↗
50. 10.1002/adhm.20160058810.1002/adhm.201600588 ↗
51. 10.2217/nnm.11.13510.2217/nnm.11.135 ↗
52. 10.1016/j.parkreldis.2014.11.02310.1016/j.parkreldis.2014.11.023 ↗
53. 10.1183/09031936.0001911410.1183/09031936.00019114 ↗
54. 10.1016/j.jtho.2016.02.01710.1016/j.jtho.2016.02.017 ↗
55. 10.1016/j.nano.2013.01.00810.1016/j.nano.2013.01.008 ↗
56. 10.1007/s10549-010-1317-x10.1007/s10549-010-1317-x ↗
57. 10.1038/bjc.2013.4410.1038/bjc.2013.44 ↗
58. 10.1557/mrs2010.50910.1557/mrs2010.509 ↗
59. 10.1021/am201369510.1021/am2013695 ↗
60. 10.1183/1025448x.0001850910.1183/1025448x.00018509 ↗
61. 10.1016/j.cca.2014.04.03010.1016/j.cca.2014.04.030 ↗
62. 10.1097/SLA.000000000000110110.1097/SLA.0000000000001101 ↗
63. 10.1038/ctg.2015.4010.1038/ctg.2015.40 ↗
64. 10.1088/1752-7155/5/2/02200110.1088/1752-7155/5/2/022001 ↗
65. 10.2174/138161282066614031415433110.2174/1381612820666140314154331 ↗
66. 10.2147/ciia.2006.1.3.25310.2147/ciia.2006.1.3.253 ↗
67. 10.1016/j.etap.2015.07.01810.1016/j.etap.2015.07.018 ↗
68. 10.1016/j.resp.2006.01.00710.1016/j.resp.2006.01.007 ↗
69. 10.1067/mlc.2000.10894310.1067/mlc.2000.108943 ↗
70. 10.1088/1752-7155/3/2/02700210.1088/1752-7155/3/2/027002 ↗
71. 10.1021/jp105810w10.1021/jp105810w ↗
72. 10.1002/smll.20080183110.1002/smll.200801831 ↗