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Lagopati N, Valamvanos TF, Proutsou V, Karachalios K, Pippa N, Gatou MA, Vagena IA, Cela S, Pavlatou EA, Gazouli M, Efstathopoulos E. The Role of Nano-Sensors in Breath Analysis for Early and Non-Invasive Disease Diagnosis. CHEMOSENSORS 2023; 11:317. [DOI: 10.3390/chemosensors11060317] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2023]
Abstract
Early-stage, precise disease diagnosis and treatment has been a crucial topic of scientific discussion since time immemorial. When these factors are combined with experience and scientific knowledge, they can benefit not only the patient, but also, by extension, the entire health system. The development of rapidly growing novel technologies allows for accurate diagnosis and treatment of disease. Nanomedicine can contribute to exhaled breath analysis (EBA) for disease diagnosis, providing nanomaterials and improving sensing performance and detection sensitivity. Through EBA, gas-based nano-sensors might be applied for the detection of various essential diseases, since some of their metabolic products are detectable and measurable in the exhaled breath. The design and development of innovative nanomaterial-based sensor devices for the detection of specific biomarkers in breath samples has emerged as a promising research field for the non-invasive accurate diagnosis of several diseases. EBA would be an inexpensive and widely available commercial tool that could also be used as a disease self-test kit. Thus, it could guide patients to the proper specialty, bypassing those expensive tests, resulting, hence, in earlier diagnosis, treatment, and thus a better quality of life. In this review, some of the most prevalent types of sensors used in breath-sample analysis are presented in parallel with the common diseases that might be diagnosed through EBA, highlighting the impact of incorporating new technological achievements in the clinical routine.
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Affiliation(s)
- Nefeli Lagopati
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
| | - Theodoros-Filippos Valamvanos
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Vaia Proutsou
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Konstantinos Karachalios
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Natassa Pippa
- Section of Pharmaceutical Technology, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece
| | - Maria-Anna Gatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Ioanna-Aglaia Vagena
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Smaragda Cela
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Evangelia A. Pavlatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Maria Gazouli
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
| | - Efstathios Efstathopoulos
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
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2
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Stott S, Broza YY, Gharra A, Wang Z, Barker RA, Haick H. The Utility of Breath Analysis in the Diagnosis and Staging of Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2022; 12:993-1002. [PMID: 35147553 DOI: 10.3233/jpd-213133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND The analysis of volatile organic compounds (VOCs) collected in breath samples has the potential to be a rapid, non-invasive test to aid in the clinical diagnosis and tracking of chronic conditions such as Parkinson's disease (PD). OBJECTIVE To assess the feasibility and utility of breath sample analysis done, both at point of collection in clinic and when sent away to be analyzed remotely, to diagnose, stratify and monitor disease course in a moderately large cohort of patients with PD. METHODS Breath samples were collected from 177 people with PD and 37 healthy matched control individuals followed over time. Standard clinical data (MDS-UPDRS & cognitive assessments) from the PD patients were collected at the same time as the breath sample was taken, these measures were then correlated with the breath test analysis of exhaled VOCs. RESULTS The breath test was able to distinguish patients with PD from healthy control participants and correlated with disease stage. The off-line system (remote analysis) gave good results with overall classification accuracies across a range of clinical measures of between 73.6% to 95.6%. The on-line (in clinic) system showed comparable results but with lower levels of correlation, varying between 33.5% to 82.4%. Chemical analysis identified 29 potential molecules that were different and which may relate to pathogenic pathways in PD. CONCLUSION Breath analysis shows potential for PD diagnostics and monitoring. Both off-line and on-line sensor systems were easy to do and provided comparable results which will enable this technique to be easily adopted in clinic if larger studies confirm our findings.
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Affiliation(s)
- Simon Stott
- John van Geest Centre for Brain Repair, Department of Clinical Neuroscience, University of Cambridge, Forvie Site, Cambridge, UK
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Alaa Gharra
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Zhen Wang
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Roger A Barker
- John van Geest Centre for Brain Repair, Department of Clinical Neuroscience, University of Cambridge, Forvie Site, Cambridge, UK.,Wellcome-Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
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3
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Broza YY, Haick H. Biodiagnostics in an era of global pandemics-From biosensing materials to data management. VIEW 2022; 3:20200164. [PMID: 34766159 PMCID: PMC8441813 DOI: 10.1002/viw.20200164] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 03/10/2021] [Accepted: 04/12/2021] [Indexed: 12/15/2022] Open
Abstract
The novel corona virus SARS-CoV-2 (COVID-19) has exposed the world to challenges never before seen in fast diagnostics, monitoring, and prevention of the outbreak. As a result, different approaches for fast diagnostic and screening are made and yet to find the ideal way. The current mini-review provides and examines evidence-based innovative and rapid chemical sensing and related biodiagnostic solutions to deal with infectious disease and related pandemic emergencies, which could offer the best possible care for the general population and improve the approachability of the pandemic information, insights, and surrounding contexts. The review discusses how integration of sensing devices with big data analysis, artificial Intelligence or machine learning, and clinical decision support system, could improve the accuracy of the recorded patterns of the disease conditions within an ocean of information. At the end, the mini-review provides a prospective on the requirements to improve our coping of the pandemic-related biodiagnostics as well as future opportunities.
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Affiliation(s)
- Yoav Y. Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology InstituteTechnion‐Israel Institute of TechnologyHaifaIsrael
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology InstituteTechnion‐Israel Institute of TechnologyHaifaIsrael
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Hu W, Wu W, Jian Y, Haick H, Zhang G, Qian Y, Yuan M, Yao M. Volatolomics in healthcare and its advanced detection technology. NANO RESEARCH 2022; 15:8185-8213. [PMID: 35789633 PMCID: PMC9243817 DOI: 10.1007/s12274-022-4459-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 05/21/2023]
Abstract
Various diseases increasingly challenge the health status and life quality of human beings. Volatolome emitted from patients has been considered as a potential family of markers, volatolomics, for diagnosis/screening. There are two fundamental issues of volatolomics in healthcare. On one hand, the solid relationship between the volatolome and specific diseases needs to be clarified and verified. On the other hand, effective methods should be explored for the precise detection of volatolome. Several comprehensive review articles had been published in this field. However, a timely and systematical summary and elaboration is still desired. In this review article, the research methodology of volatolomics in healthcare is critically considered and given out, at first. Then, the sets of volatolome according to specific diseases through different body sources and the analytical instruments for their identifications are systematically summarized. Thirdly, the advanced electronic nose and photonic nose technologies for volatile organic compounds (VOCs) detection are well introduced. The existed obstacles and future perspectives are deeply thought and discussed. This article could give a good guidance to researchers in this interdisciplinary field, not only understanding the cutting-edge detection technologies for doctors (medicinal background), but also making reference to clarify the choice of aimed VOCs during the sensor research for chemists, materials scientists, electronics engineers, etc.
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Affiliation(s)
- Wenwen Hu
- School of Aerospace Science and Technology, Xidian University, Xi’an, 730107 China
| | - Weiwei Wu
- Interdisciplinary Research Center of Smart Sensors, School of Advanced Materials and Nanotechnology, Xidian University, Xi’an, 730107 China
| | - Yingying Jian
- Interdisciplinary Research Center of Smart Sensors, School of Advanced Materials and Nanotechnology, Xidian University, Xi’an, 730107 China
| | - Hossam Haick
- Faculty of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200002 Israel
| | - Guangjian Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061 China
| | - Yun Qian
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006 China
| | - Miaomiao Yuan
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518033 China
| | - Mingshui Yao
- State Key Laboratory of Multi-phase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 310006 China
- Institute for Integrated Cell-Material Sciences, Kyoto University Institute for Advanced Study, Kyoto University, Kyoto, 606-8501 Japan
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5
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Yang HY, Chen WC, Tsai RC. Accuracy of the Electronic Nose Breath Tests in Clinical Application: A Systematic Review and Meta-Analysis. BIOSENSORS 2021; 11:bios11110469. [PMID: 34821685 PMCID: PMC8615633 DOI: 10.3390/bios11110469] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 11/20/2021] [Accepted: 11/20/2021] [Indexed: 05/25/2023]
Abstract
(1) Background: An electronic nose applies a sensor array to detect volatile biomarkers in exhaled breath to diagnose diseases. The overall diagnostic accuracy remains unknown. The objective of this review was to provide an estimate of the diagnostic accuracy of sensor-based breath tests for the diagnosis of diseases. (2) Methods: We searched the PubMed and Web of Science databases for studies published between 1 January 2010 and 14 October 2021. The search was limited to human studies published in the English language. Clinical trials were not included in this review. (3) Results: Of the 2418 records identified, 44 publications were eligible, and 5728 patients were included in the final analyses. The pooled sensitivity was 90.0% (95% CI, 86.3-92.8%, I2 = 47.7%), the specificity was 88.4% (95% CI, 87.1-89.5%, I2 = 81.4%), and the pooled area under the curve was 0.93 (95% CI 0.91-0.95). (4) Conclusion: The findings of our review suggest that a standardized report of diagnostic accuracy and a report of the accuracy in a test set are needed. Sensor array systems of electronic noses have the potential for noninvasiveness at the point-of-care in hospitals. Nevertheless, the procedure for reporting the accuracy of a diagnostic test must be standardized.
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Affiliation(s)
- Hsiao-Yu Yang
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei 10055, Taiwan; (W.-C.C.); (R.-C.T.)
- Department of Public Health, National Taiwan University College of Public Health, Taipei 10055, Taiwan
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan
| | - Wan-Chin Chen
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei 10055, Taiwan; (W.-C.C.); (R.-C.T.)
- Department of Family Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan
| | - Rodger-Chen Tsai
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei 10055, Taiwan; (W.-C.C.); (R.-C.T.)
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6
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Kim C, Raja IS, Lee JM, Lee JH, Kang MS, Lee SH, Oh JW, Han DW. Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System. BIOSENSORS 2021; 11:337. [PMID: 34562928 PMCID: PMC8467588 DOI: 10.3390/bios11090337] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/06/2021] [Accepted: 09/10/2021] [Indexed: 12/26/2022]
Abstract
Artificial olfactory systems are needed in various fields that require real-time monitoring, such as healthcare. This review introduces cases of detection of specific volatile organic compounds (VOCs) in a patient's exhaled breath and discusses trends in disease diagnosis technology development using artificial olfactory technology that analyzes exhaled human breath. We briefly introduce algorithms that classify patterns of odors (VOC profiles) and describe artificial olfactory systems based on nanosensors. On the basis of recently published research results, we describe the development trend of artificial olfactory systems based on the pattern-recognition gas sensor array technology and the prospects of application of this technology to disease diagnostic devices. Medical technologies that enable early monitoring of health conditions and early diagnosis of diseases are crucial in modern healthcare. By regularly monitoring health status, diseases can be prevented or treated at an early stage, thus increasing the human survival rate and reducing the overall treatment costs. This review introduces several promising technical fields with the aim of developing technologies that can monitor health conditions and diagnose diseases early by analyzing exhaled human breath in real time.
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Affiliation(s)
- Chuntae Kim
- BIO-IT Foundry Technology Institute, Pusan National University, Busan 46241, Korea
| | | | - Jong-Min Lee
- School of Nano Convergence Technology, Hallym University, Chuncheon 24252, Korea
| | | | - Moon Sung Kang
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Korea
| | - Seok Hyun Lee
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Korea
| | - Jin-Woo Oh
- BIO-IT Foundry Technology Institute, Pusan National University, Busan 46241, Korea
- Department of Nanoenergy Engineering, Pusan National University, Busan 46241, Korea
| | - Dong-Wook Han
- BIO-IT Foundry Technology Institute, Pusan National University, Busan 46241, Korea
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Korea
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7
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Milyutin Y, Abud-Hawa M, Kloper-Weidenfeld V, Mansour E, Broza YY, Shani G, Haick H. Fabricating and printing chemiresistors based on monolayer-capped metal nanoparticles. Nat Protoc 2021; 16:2968-2990. [PMID: 34012107 DOI: 10.1038/s41596-021-00528-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 02/23/2021] [Indexed: 02/03/2023]
Abstract
Chemiresistors that are based on monolayer-capped metal nanoparticles (MCNPs) have been used in a wide variety of innovative sensing applications, including detection and monitoring of diagnostic markers in body fluids, explosive materials, environmental contaminations and food quality control. The sensing mechanism is based on reversible swelling or aggregation and/or changes in dielectric constant of the MCNPs. In this protocol, we describe a procedure for producing MCNP-based chemiresistive sensors that is reproducible from device to device and from batch to batch. The approach relies on three main steps: (i) controlled synthesis of gold MCNPs, (ii) fabrication of electrodes that are surrounded with a microbarrier ring to confine the deposited MCNP solution and (iii) a tailor-made drying process to enable evaporation of solvent residues from the MCNP sensing layer to prevent a coffee-ring effect. Application of this approach has been shown to produce devices with ±1.5% variance-a value consistent with the criterion for commercial sensors-as well as long shelf life and stability. Fabrication of chemical sensors based on dodecanethiol- or 2-ethylhexanethiol-capped MCNPs with this approach provides high sensitivity and accuracy in the detection of volatile organic compounds (e.g., octane and decane), toxic gaseous species (e.g., HCl and NH3) in air and simulated mixtures of lung and gastric cancer from exhaled breath.
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Affiliation(s)
- Yana Milyutin
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Manal Abud-Hawa
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Viki Kloper-Weidenfeld
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Elias Mansour
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Gidi Shani
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel.
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8
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Zohar O, Khatib M, Omar R, Vishinkin R, Broza YY, Haick H. Biointerfaced sensors for biodiagnostics. VIEW 2021. [DOI: 10.1002/viw.20200172] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Orr Zohar
- Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute Technion–Israel Institute of Technology Haifa Israel
| | - Muhammad Khatib
- Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute Technion–Israel Institute of Technology Haifa Israel
| | - Rawan Omar
- Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute Technion–Israel Institute of Technology Haifa Israel
| | - Rotem Vishinkin
- Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute Technion–Israel Institute of Technology Haifa Israel
| | - Yoav Y. Broza
- Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute Technion–Israel Institute of Technology Haifa Israel
| | - Hossam Haick
- Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute Technion–Israel Institute of Technology Haifa Israel
- School of Advanced Materials and Nanotechnology Xidian University Xi'an Shaanxi P. R. China
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9
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Orr ME, Reveles KR, Yeh CK, Young EH, Han X. Can oral health and oral-derived biospecimens predict progression of dementia? Oral Dis 2020; 26:249-258. [PMID: 31541581 PMCID: PMC7031023 DOI: 10.1111/odi.13201] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 08/09/2019] [Accepted: 08/30/2019] [Indexed: 12/13/2022]
Abstract
Growing evidence indicates that oral health and brain health are interconnected. Declining cognition and dementia coincide with lack of self‐preservation, including oral hygiene. The oral microbiota plays an important role in maintaining oral health. Emerging evidence suggests a link between oral dysbiosis and cognitive decline in patients with Alzheimer's disease. This review showcases the recent advances connecting oral health and cognitive function during aging and the potential utility of oral‐derived biospecimens to inform on brain health. Collectively, experimental findings indicate that the connection between oral health and cognition cannot be underestimated; moreover, oral biospecimens are abundant and readily obtainable without invasive procedures, which may help inform on cognitive health.
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Affiliation(s)
- Miranda E Orr
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, Texas.,Geriatric Research, Education & Clinical Center and Research Service, South Texas Veterans Health Care System, San Antonio, Texas.,Department of Medicine, UT Health San Antonio, San Antonio, Texas.,Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, Texas.,Gerontology and Geriatric Medicine, Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Kelly R Reveles
- College of Pharmacy, The University of Texas at Austin, Austin, Texas.,Pharmacotherapy Education & Research Center, UT Health San Antonio, San Antonio, Texas
| | - Chih-Ko Yeh
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, Texas.,Geriatric Research, Education & Clinical Center and Research Service, South Texas Veterans Health Care System, San Antonio, Texas.,Comprehensive Dentistry, School of Dentistry, UT Health San Antonio, San Antonio, Texas
| | - Eric H Young
- College of Pharmacy, The University of Texas at Austin, Austin, Texas.,Pharmacotherapy Education & Research Center, UT Health San Antonio, San Antonio, Texas
| | - Xianlin Han
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, Texas.,Department of Medicine, UT Health San Antonio, San Antonio, Texas
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10
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Broza YY, Zhou X, Yuan M, Qu D, Zheng Y, Vishinkin R, Khatib M, Wu W, Haick H. Disease Detection with Molecular Biomarkers: From Chemistry of Body Fluids to Nature-Inspired Chemical Sensors. Chem Rev 2019; 119:11761-11817. [DOI: 10.1021/acs.chemrev.9b00437] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Yoav Y. Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion—Israel Institute of Technology, Haifa 3200003, Israel
| | - Xi Zhou
- School of Natural and Applied Sciences, Northwestern Polytechnical University, Xi’an 710072, P.R. China
| | - Miaomiao Yuan
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518033, P.R. China
| | - Danyao Qu
- School of Advanced Materials and Nanotechnology, Interdisciplinary Research Center of Smart Sensors, Xidian University, Shaanxi 710126, P.R. China
| | - Youbing Zheng
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion—Israel Institute of Technology, Haifa 3200003, Israel
| | - Rotem Vishinkin
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion—Israel Institute of Technology, Haifa 3200003, Israel
| | - Muhammad Khatib
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion—Israel Institute of Technology, Haifa 3200003, Israel
| | - Weiwei Wu
- School of Advanced Materials and Nanotechnology, Interdisciplinary Research Center of Smart Sensors, Xidian University, Shaanxi 710126, P.R. China
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion—Israel Institute of Technology, Haifa 3200003, Israel
- School of Advanced Materials and Nanotechnology, Interdisciplinary Research Center of Smart Sensors, Xidian University, Shaanxi 710126, P.R. China
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11
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Krilaviciute A, Leja M, Kopp-Schneider A, Barash O, Khatib S, Amal H, Broza YY, Polaka I, Parshutin S, Rudule A, Haick H, Brenner H. Associations of diet and lifestyle factors with common volatile organic compounds in exhaled breath of average-risk individuals. J Breath Res 2019; 13:026006. [DOI: 10.1088/1752-7163/aaf3dc] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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12
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Bae CH, Jeong HW, Yun JY, Lee JE, Han SJ. Spatiotemporal Gait Parameter Comparison for Parkinson's Disease, Multiple System Atrophy, and Other Parkinsonism Diseases. BRAIN & NEUROREHABILITATION 2019. [DOI: 10.12786/bn.2019.12.e20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Chang Hoon Bae
- Department of Rehabilitation Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Hye Won Jeong
- Department of Rehabilitation Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Ji Young Yun
- Department of Neurology, Ewha Womans University College of Medicine, Seoul, Korea
| | - Jeong Eun Lee
- Department of Rehabilitation Medicine, Seoul Metropolitan Seonam Hospital, Seoul, Korea
| | - Soo Jeong Han
- Department of Rehabilitation Medicine, Ewha Womans University College of Medicine, Seoul, Korea
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13
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Hu W, Wan L, Jian Y, Ren C, Jin K, Su X, Bai X, Haick H, Yao M, Wu W. Electronic Noses: From Advanced Materials to Sensors Aided with Data Processing. ADVANCED MATERIALS TECHNOLOGIES 2018:1800488. [DOI: 10.1002/admt.201800488] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Wenwen Hu
- School of Aerospace Science and TechnologyXidian University Shaanxi 710126 P. R. China
| | - Liangtian Wan
- The Key Laboratory for Ubiquitous Network and Service Software of Liaoning ProvinceSchool of SoftwareDalian University of Technology Dalian 116620 China
| | - Yingying Jian
- School of Advanced Materials and NanotechnologyXidian University Shaanxi 710126 P. R. China
| | - Cong Ren
- School of Advanced Materials and NanotechnologyXidian University Shaanxi 710126 P. R. China
| | - Ke Jin
- School of Aerospace Science and TechnologyXidian University Shaanxi 710126 P. R. China
| | - Xinghua Su
- School of Materials Science and EngineeringChang'an University Xi'an 710061 China
| | - Xiaoxia Bai
- School of Advanced Materials and NanotechnologyXidian University Shaanxi 710126 P. R. China
| | - Hossam Haick
- School of Advanced Materials and NanotechnologyXidian University Shaanxi 710126 P. R. China
- Department of Chemical Engineering and Russell Berrie Nanotechnology InstituteTechnion‐Israel Institute of Technology Haifa 3200003 Israel
| | - Mingshui Yao
- Fujian Institute of Research on the Structure of MatterChinese Academy of Sciences Fuzhou 350002 P. R. China
| | - Weiwei Wu
- School of Advanced Materials and NanotechnologyXidian University Shaanxi 710126 P. R. China
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14
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Finberg JPM, Schwartz M, Jeries R, Badarny S, Nakhleh MK, Abu Daoud E, Ayubkhanov Y, Aboud-Hawa M, Broza YY, Haick H. Sensor Array for Detection of Early Stage Parkinson's Disease before Medication. ACS Chem Neurosci 2018; 9:2548-2553. [PMID: 29989795 DOI: 10.1021/acschemneuro.8b00245] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Early diagnosis of Parkinson's disease (PD) is important because it affects the choice of therapy and is subject to a relatively high degree of error. In addition, early detection of PD can potentially enable the start of neuroprotective therapy before extensive loss of dopaminergic neurons of the substantia nigra occurs. However, until now, studies for early detection of PD using volatile biomarkers sampled only treated and medicated patients. Therefore, there is a great need to evaluate untreated patients for establishing a real world screening and diagnostic technology. Here we describe for the first time a clinical trial to distinguish between de novo PD and control subjects using an electronic system for detection of volatile molecules in exhaled breath (sensor array). We further determine for the first time the association to other common tests for PD diagnostics as smell, ultrasound, and nonmotor symptoms. The test group consisted of 29 PD patients after initial diagnosis by an experienced neurologist, compared with 19 control subjects of similar age. The sensitivity, specificity, and accuracy values of the sensor array to detect PD from controls were 79%, 84%, and 81% respectively, in comparison with midbrain ultrasonography (93%, 90%, 92%) and smell detection (62%, 89%, 73%). The results confirm previous data showing the potential of sensor arrays to detect PD.
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Affiliation(s)
- John P. M. Finberg
- Neuroscience Department, Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Miguel Schwartz
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Raneen Jeries
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Samih Badarny
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Morad K. Nakhleh
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Enas Abu Daoud
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Yelena Ayubkhanov
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Manal Aboud-Hawa
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
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15
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Wu W, Haick H. Materials and Wearable Devices for Autonomous Monitoring of Physiological Markers. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2018; 30:e1705024. [PMID: 29498115 DOI: 10.1002/adma.201705024] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2017] [Revised: 10/20/2017] [Indexed: 05/02/2023]
Abstract
Wearable devices are gaining considerable attention owing to the ease with which they can collect crucial information in real-time, both continuously and noninvasively, regarding a wearer's health. A concise summary is given of the three main elements that enable autonomous detection and monitoring of the likelihood or the existence of a health-risk state in continuous and real-time modes, with an emphasis on emerging materials and fabrication techniques in the relevant fields. The first element is the sensing technology used in the noninvasive detection of physiological markers relevant to the state of health. The second element is self-powered devices for longer periods of use by drawing energy from bodily movement and temperature. The third element is the self-healing properties of the materials used in the wearable devices to extended usage if they become scratched or cut. Promises and challenges of the separately reviewed parts and the combined parts are presented and discussed. Ideas regarding further improvement of skin-based wearable devices are also presented and discussed.
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Affiliation(s)
- Weiwei Wu
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
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16
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Broza YY, Vishinkin R, Barash O, Nakhleh MK, Haick H. Synergy between nanomaterials and volatile organic compounds for non-invasive medical evaluation. Chem Soc Rev 2018; 47:4781-4859. [PMID: 29888356 DOI: 10.1039/c8cs00317c] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
This article is an overview of the present and ongoing developments in the field of nanomaterial-based sensors for enabling fast, relatively inexpensive and minimally (or non-) invasive diagnostics of health conditions with follow-up by detecting volatile organic compounds (VOCs) excreted from one or combination of human body fluids and tissues (e.g., blood, urine, breath, skin). Part of the review provides a didactic examination of the concepts and approaches related to emerging sensing materials and transduction techniques linked with the VOC-based non-invasive medical evaluations. We also present and discuss diverse characteristics of these innovative sensors, such as their mode of operation, sensitivity, selectivity and response time, as well as the major approaches proposed for enhancing their ability as hybrid sensors to afford multidimensional sensing and information-based sensing. The other parts of the review give an updated compilation of the past and currently available VOC-based sensors for disease diagnostics. This compilation summarizes all VOCs identified in relation to sickness and sampling origin that links these data with advanced nanomaterial-based sensing technologies. Both strength and pitfalls are discussed and criticized, particularly from the perspective of the information and communication era. Further ideas regarding improvement of sensors, sensor arrays, sensing devices and the proposed workflow are also included.
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Affiliation(s)
- Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
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17
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Finberg JPM, Aluf Y, Loboda Y, Nakhleh MK, Jeries R, Abud-Hawa M, Zubedat S, Avital A, Khatib S, Vaya J, Haick H. Altered Volatile Organic Compound Profile in Transgenic Rats Bearing A53T Mutation of Human α-Synuclein: Comparison with Dopaminergic and Serotonergic Denervation. ACS Chem Neurosci 2018; 9:291-297. [PMID: 29017011 DOI: 10.1021/acschemneuro.7b00318] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Early diagnosis of Parkinson's disease (PD) is of great importance due its progressive phenotype. Neuroprotective drugs could potentially slow down disease progression if used at early stages. Previously, we have reported an altered content of volatile organic compounds (VOCs) in the breath of rats following a 50% reduction in striatal dopamine (DA) content induced by 6-hydroxydopamine. We now report on the difference in the breath-print and content of VOCs between rats with mild and severe lesions of DA neurons, serotonergic neuronal lesions, and transgenic (Tg) rats carrying the PD-producing A53T mutation of the SNCA (α-synuclein) gene. The Tg rats had an increased content of 3-octen-1-ol and 4-chloro-3-methyl phenol in blood, while in brain tissue, hexanal, hexanol, and 2,3-octanedione were present in controls but absent in Tg rats. Levels of 1-heptyl-2-methyl cyclopropane were increased in brain tissue of Tg rats. The data confirm the potential of breath analysis for detection of human idiosyncratic as well as autosomal dominant PD.
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Affiliation(s)
- John P. M. Finberg
- Neuroscience Department,
Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Yuval Aluf
- Neuroscience Department,
Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Yelena Loboda
- Neuroscience Department,
Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Morad K. Nakhleh
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Raneen Jeries
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Manal Abud-Hawa
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Salman Zubedat
- Neuroscience Department,
Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Avi Avital
- Neuroscience Department,
Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Soliman Khatib
- Laboratory of Natural Medicinal Compounds, Migal-Galilee Research
Institute, Kiryat Shmona and Tel Hai College, Qiryat Shemona, 1220800, Israel
| | - Jacob Vaya
- Laboratory of Natural Medicinal Compounds, Migal-Galilee Research
Institute, Kiryat Shmona and Tel Hai College, Qiryat Shemona, 1220800, Israel
| | - Hossam Haick
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
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18
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Broza YY, Har-Shai L, Jeries R, Cancilla JC, Glass-Marmor L, Lejbkowicz I, Torrecilla JS, Yao X, Feng X, Narita A, Müllen K, Miller A, Haick H. Exhaled Breath Markers for Nonimaging and Noninvasive Measures for Detection of Multiple Sclerosis. ACS Chem Neurosci 2017; 8:2402-2413. [PMID: 28768105 DOI: 10.1021/acschemneuro.7b00181] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Multiple sclerosis (MS) is the most common chronic neurological disease affecting young adults. MS diagnosis is based on clinical characteristics and confirmed by examination of the cerebrospinal fluids (CSF) or by magnetic resonance imaging (MRI) of the brain or spinal cord or both. However, neither of the current diagnostic procedures are adequate as a routine tool to determine disease state. Thus, diagnostic biomarkers are needed. In the current study, a novel approach that could meet these expectations is presented. The approach is based on noninvasive analysis of volatile organic compounds (VOCs) in breath. Exhaled breath was collected from 204 participants, 146 MS and 58 healthy control individuals. Analysis was performed by gas-chromatography mass-spectrometry (GC-MS) and nanomaterial-based sensor array. Predictive models were derived from the sensors, using artificial neural networks (ANNs). GC-MS analysis revealed significant differences in VOC abundance between MS patients and controls. Sensor data analysis on training sets was able to discriminate in binary comparisons between MS patients and controls with accuracies up to 90%. Blinded sets showed 95% positive predictive value (PPV) between MS-remission and control, 100% sensitivity with 100% negative predictive value (NPV) between MS not-treated (NT) and control, and 86% NPV between relapse and control. Possible links between VOC biomarkers and the MS pathogenesis were established. Preliminary results suggest the applicability of a new nanotechnology-based method for MS diagnostics.
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Affiliation(s)
- Yoav Y. Broza
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 32000003, Israel
| | - Lior Har-Shai
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Raneen Jeries
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 32000003, Israel
| | - John C. Cancilla
- Departamento de
Ingeniería Química,
Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Lea Glass-Marmor
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Izabella Lejbkowicz
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - José S. Torrecilla
- Departamento de
Ingeniería Química,
Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Xuelin Yao
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Xinliang Feng
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Akimitsu Narita
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Klaus Müllen
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Ariel Miller
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Hossam Haick
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 32000003, Israel
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19
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Shafieesabet A, Fereshtehnejad SM, Shafieesabet A, Delbari A, Baradaran HR, Postuma RB, Lökk J. Hyperechogenicity of substantia nigra for differential diagnosis of Parkinson's disease: A meta-analysis. Parkinsonism Relat Disord 2017. [DOI: 10.1016/j.parkreldis.2017.06.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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20
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Nakhleh MK, Quatredeniers M, Haick H. Detection of halitosis in breath: Between the past, present, and future. Oral Dis 2017. [DOI: 10.1111/odi.12699] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- MK Nakhleh
- Univ Paris-Sud; Faculté de Médecine; Université Paris-Saclay; Le Kremlin Bicêtre France
- AP-HP; DHU TORINO; Service de Pneumologie; Hôpital Bicêtre; Le Kremlin Bicêtre France
- Inserm UMR_S 999; LabExLERMIT; Hôpital Marie Lannelongue; Le Plessis Robinson France
| | - M Quatredeniers
- Univ Paris-Sud; Faculté de Médecine; Université Paris-Saclay; Le Kremlin Bicêtre France
- AP-HP; DHU TORINO; Service de Pneumologie; Hôpital Bicêtre; Le Kremlin Bicêtre France
- Inserm UMR_S 999; LabExLERMIT; Hôpital Marie Lannelongue; Le Plessis Robinson France
| | - H Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute; Technion-Israel Institute of Technology; Haifa Israel
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21
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Jin H, Abu-Raya YS, Haick H. Advanced Materials for Health Monitoring with Skin-Based Wearable Devices. Adv Healthc Mater 2017; 6. [PMID: 28371294 DOI: 10.1002/adhm.201700024] [Citation(s) in RCA: 119] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 02/14/2017] [Indexed: 12/16/2022]
Abstract
Skin-based wearable devices have a great potential that could result in a revolutionary approach to health monitoring and diagnosing disease. With continued innovation and intensive attention to the materials and fabrication technologies, development of these healthcare devices is progressively encouraged. This article gives a concise, although admittedly non-exhaustive, didactic review of some of the main concepts and approaches related to recent advances and developments in the scope of skin-based wearable devices (e.g. temperature, strain, biomarker-analysis werable devices, etc.), with an emphasis on emerging materials and fabrication techniques in the relevant fields. To give a comprehensive statement, part of the review presents and discusses different aspects of these advanced materials, such as the sensitivity, biocompatibility and durability as well as the major approaches proposed for enhancing their chemical and physical properties. A complementary section of the review linking these advanced materials with wearable device technologies is particularly specified. Some of the strong and weak points in development of each wearable material/device are highlighted and criticized. Several ideas regarding further improvement of skin-based wearable devices are also discussed.
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Affiliation(s)
- Han Jin
- Department of Chemical Engineering; Technion - Israel Institute of Technology; Haifa 3200003 Israel
- Faculty of Information Science and Engineering; Ningbo University; Ningbo 315211 P. R. China
| | - Yasmin Shibli Abu-Raya
- Department of Chemical Engineering and The Russell Berrie Nanotechnology Institute; Technion - Israel Institute of Technology; Haifa 3200003 Israel
| | - Hossam Haick
- Department of Chemical Engineering and The Russell Berrie Nanotechnology Institute; Technion - Israel Institute of Technology; Haifa 3200003 Israel
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22
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Horváth I, Barnes PJ, Loukides S, Sterk PJ, Högman M, Olin AC, Amann A, Antus B, Baraldi E, Bikov A, Boots AW, Bos LD, Brinkman P, Bucca C, Carpagnano GE, Corradi M, Cristescu S, de Jongste JC, Dinh-Xuan AT, Dompeling E, Fens N, Fowler S, Hohlfeld JM, Holz O, Jöbsis Q, Van De Kant K, Knobel HH, Kostikas K, Lehtimäki L, Lundberg J, Montuschi P, Van Muylem A, Pennazza G, Reinhold P, Ricciardolo FLM, Rosias P, Santonico M, van der Schee MP, van Schooten FJ, Spanevello A, Tonia T, Vink TJ. A European Respiratory Society technical standard: exhaled biomarkers in lung disease. Eur Respir J 2017; 49:49/4/1600965. [PMID: 28446552 DOI: 10.1183/13993003.00965-2016] [Citation(s) in RCA: 375] [Impact Index Per Article: 53.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 01/09/2017] [Indexed: 12/19/2022]
Abstract
Breath tests cover the fraction of nitric oxide in expired gas (FeNO), volatile organic compounds (VOCs), variables in exhaled breath condensate (EBC) and other measurements. For EBC and for FeNO, official recommendations for standardised procedures are more than 10 years old and there is none for exhaled VOCs and particles. The aim of this document is to provide technical standards and recommendations for sample collection and analytic approaches and to highlight future research priorities in the field. For EBC and FeNO, new developments and advances in technology have been evaluated in the current document. This report is not intended to provide clinical guidance on disease diagnosis and management.Clinicians and researchers with expertise in exhaled biomarkers were invited to participate. Published studies regarding methodology of breath tests were selected, discussed and evaluated in a consensus-based manner by the Task Force members.Recommendations for standardisation of sampling, analysing and reporting of data and suggestions for research to cover gaps in the evidence have been created and summarised.Application of breath biomarker measurement in a standardised manner will provide comparable results, thereby facilitating the potential use of these biomarkers in clinical practice.
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Affiliation(s)
- Ildiko Horváth
- Dept of Pulmonology, National Korányi Institute of Pulmonology, Budapest, Hungary
| | - Peter J Barnes
- National Heart and Lung Institute, Imperial College London, Royal Brompton Hospital, London, UK
| | | | - Peter J Sterk
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Marieann Högman
- Centre for Research & Development, Uppsala University/Gävleborg County Council, Gävle, Sweden
| | - Anna-Carin Olin
- Occupational and Environmental Medicine, Sahlgrenska Academy and University Hospital, Goteborg, Sweden
| | - Anton Amann
- Innsbruck Medical University, Innsbruck, Austria
| | - Balazs Antus
- Dept of Pathophysiology, National Korányi Institute of Pulmonology, Budapest, Hungary
| | | | - Andras Bikov
- Dept of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Agnes W Boots
- Dept of Pharmacology and Toxicology, University of Maastricht, Maastricht, The Netherlands
| | - Lieuwe D Bos
- Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Paul Brinkman
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Caterina Bucca
- Biomedical Sciences and Human Oncology, Universita' di Torino, Turin, Italy
| | | | | | - Simona Cristescu
- Dept of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands
| | - Johan C de Jongste
- Dept of Pediatrics/Respiratory Medicine, Erasmus MC-Sophia Childrens' Hospital, Rotterdam, The Netherlands
| | | | - Edward Dompeling
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Niki Fens
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Stephen Fowler
- Respiratory Research Group, University of Manchester Wythenshawe Hospital, Manchester, UK
| | - Jens M Hohlfeld
- Clinical Airway Research, Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany.,Medizinische Hochschule Hannover, Hannover, Germany
| | - Olaf Holz
- Clinical Airway Research, Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany
| | - Quirijn Jöbsis
- Department of Paediatric Respiratory Medicine, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Kim Van De Kant
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hugo H Knobel
- Philips Research, High Tech Campus 11, Eindhoven, The Netherlands
| | | | | | - Jon Lundberg
- Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Paolo Montuschi
- Pharmacology, Catholic University of the Sacred Heart, Rome, Italy
| | - Alain Van Muylem
- Hopital Erasme Cliniques Universitaires de Bruxelles, Bruxelles, Belgium
| | - Giorgio Pennazza
- Faculty of Engineering, University Campus Bio-Medico, Rome, Italy
| | - Petra Reinhold
- Institute of Molecular Pathogenesis, Friedrich Loeffler Institut, Jena, Germany
| | - Fabio L M Ricciardolo
- Clinic of Respiratory Disease, Dept of Clinical and Biological Sciences, University of Torino, Torino, Italy
| | - Philippe Rosias
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands.,Dept of Pediatrics, Maasland Hospital, Sittard, The Netherlands
| | - Marco Santonico
- Faculty of Engineering, University Campus Bio-Medico, Rome, Italy
| | - Marc P van der Schee
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - Thomy Tonia
- European Respiratory Society, Lausanne, Switzerland
| | - Teunis J Vink
- Philips Research, High Tech Campus 11, Eindhoven, The Netherlands
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23
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Nakhleh MK, Haick H, Humbert M, Cohen-Kaminsky S. Volatolomics of breath as an emerging frontier in pulmonary arterial hypertension. Eur Respir J 2017; 49:49/2/1601897. [DOI: 10.1183/13993003.01897-2016] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 11/15/2016] [Indexed: 01/26/2023]
Abstract
There is accumulating evidence in support of the significant improvement in survival rates and clinical outcomes when pulmonary arterial hypertension (PAH) is diagnosed at early stages. Nevertheless, it remains a major clinical challenge and the outcomes are dependent on invasive right heart catheterisation.Resulting from pathophysiological processes and detectable in exhaled breath, volatile organic compounds (VOCs) have been proposed as noninvasive biomarkers for PAH. Studies have confirmed significant alterations of the exhaled VOCs among PAH patients when compared to controls and/or patients with other respiratory diseases. This suggests exhaled breath analysis as a potential noninvasive medical application in the field of PAH.In this article, we review and discuss the progress made so far in the field of exhaled volatolomics (the omics of VOCs) as a potential noninvasive diagnostics of PAH. In addition, we propose a model including possible biochemical pathways on the level of the remodelled artery, in which specific VOCs could be detectable in exhaled breath during the early phases of PAH. We debate the different analytical approaches used and recommend a diagram including a “bottom–top” strategy, from basic to translational studies, required for promoting the field.
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24
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Nakhleh M, 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. Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules. ACS NANO 2017; 11:112-125. [PMID: 28000444 PMCID: PMC5269643 DOI: 10.1021/acsnano.6b04930] [Citation(s) in RCA: 260] [Impact Index Per Article: 37.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2016] [Accepted: 12/02/2016] [Indexed: 05/17/2023]
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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Affiliation(s)
- Morad
K. Nakhleh
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Haitham Amal
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Raneen Jeries
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Yoav Y. Broza
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Manal Aboud
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Alaa Gharra
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Hodaya Ivgi
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Salam Khatib
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Shifaa Badarneh
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Lior Har-Shai
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Lea Glass-Marmor
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Izabella Lejbkowicz
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Ariel Miller
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Samih Badarny
- Movement
Disorders Clinic, Department of Neurology, Carmel Medical Center,
and Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Raz Winer
- Movement
Disorders Clinic, Department of Neurology, Carmel Medical Center,
and Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - John Finberg
- Department of Molecular Pharmacology, Rappaport
Family Faculty of Medicine, Technion−Israel
Institute of Technology, Haifa 31096, Israel
| | - Sylvia Cohen-Kaminsky
- 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
| | - Frédéric Perros
- 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
| | - David Montani
- 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
| | - Barbara Girerd
- 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
| | - Gilles Garcia
- 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
| | - Gérald Simonneau
- 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
| | - Farid Nakhoul
- Department of
Nephrology and Hypertension Baruch Padeh
Medical Center, Poriya 15208, Israel
| | - Shira Baram
- Department of Obstetrics
and Gynecology, Emek Medical Center, Afula 18101, and Rappaport Family
Faculty of Medicine, Technion−Israel
Institute of Technology, Haifa 31096, Israel
| | - Raed Salim
- Department of Obstetrics
and Gynecology, Emek Medical Center, Afula 18101, and Rappaport Family
Faculty of Medicine, Technion−Israel
Institute of Technology, Haifa 31096, Israel
| | - Marwan Hakim
- Department
of Obstetrics and Gynecology, Nazareth Hospital EMMS, Nazareth, and
Faculty of Medicine in the Galilee, Bar
Ilan University, Ramat
Gan, Israel
| | - Maayan Gruber
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Ohad Ronen
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Tal Marshak
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Ilana Doweck
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Ofer Nativ
- Department of Urology, Bnai Zion Medical Center, Haifa 31048, Israel
| | - Zaher Bahouth
- Department of Urology, Bnai Zion Medical Center, Haifa 31048, Israel
| | - Da-you Shi
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Wei Zhang
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Qing-ling Hua
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Yue-yin Pan
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Li Tao
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Hu Liu
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Amir Karban
- Internal Medicine C and Gastroenterology Departments,
Rambam Medical Center, Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 3525408, Israel
| | - Eduard Koifman
- Internal Medicine C and Gastroenterology Departments,
Rambam Medical Center, Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 3525408, Israel
| | - Tova Rainis
- Department of Gastroenterology, Bnai Zion
Hospital and Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Roberts Skapars
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Armands Sivins
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Guntis Ancans
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Inta Liepniece-Karele
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Ilze Kikuste
- 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
| | - Ieva Lasina
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Ivars Tolmanis
- Digestive Diseases
Centre, GASTRO, 6 Linezeraiela, LV1006 Riga, Latvia
| | - Douglas Johnson
- Department of Radiation
Oncology, Baptist Cancer Institute (BCI), 1235 San Marco Boulevard, Suite100, Jacksonville, Florida 32207, United States
| | - Stuart Z. Millstone
- Pulmonary
and Critical Care Associates, Orange Park, Florida 32073, United States
| | - Jennifer Fulton
- Pulmonary Diseases, Baptist Medical Center, Jacksonville, Florida 32217, United States
| | - John W. Wells
- Pulmonary
and Critical Care Associates, Orange Park, Florida 32073, United States
| | - Larry H. Wilf
- Oncologic Imaging Division, Florida Radiation Oncology Group, Jacksonville, Florida 32217, United States
| | - Marc Humbert
- 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
| | - Marcis Leja
- 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
| | - Nir Peled
- Thoracic
Cancer Unit, Davidoff Cancer Center, RMC, Kaplan Street, Petach Tiqwa 49100, Israel
| | - Hossam Haick
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
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Duarte L, Nag S, Castro M, Zaborova E, Ménand M, Sollogoub M, Bennevault V, Feller JF, Guégan P. Chemical Sensors Based on New Polyamides Biobased on (Z) Octadec-9-Enedioic Acid and β-Cyclodextrin. MACROMOL CHEM PHYS 2016. [DOI: 10.1002/macp.201600102] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Lisday Duarte
- Laboratoire Analyses et Modélisation pour la Biologie et l'Environnement (UMR 8587); University of Evry; 91025 Evry Cedex France
| | - Sananda Nag
- Smart Plastics Group; European University of Brittany; LIMATB-UBS; 56321 Lorient France
| | - Mickaël Castro
- Smart Plastics Group; European University of Brittany; LIMATB-UBS; 56321 Lorient France
| | - Elena Zaborova
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
| | - Mickaël Ménand
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
| | - Matthieu Sollogoub
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
| | - Véronique Bennevault
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
- University of Evry; 91025 Evry France
| | - Jean-Francois Feller
- Smart Plastics Group; European University of Brittany; LIMATB-UBS; 56321 Lorient France
| | - Philippe Guégan
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
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26
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Dobbs SM, Dobbs RJ, Weller C, Charlett A, Augustin A, Taylor D, Ibrahim MAA, Bjarnason I. Peripheral aetiopathogenic drivers and mediators of Parkinson's disease and co-morbidities: role of gastrointestinal microbiota. J Neurovirol 2015; 22:22-32. [PMID: 26092111 PMCID: PMC4729788 DOI: 10.1007/s13365-015-0357-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Revised: 05/17/2015] [Accepted: 05/21/2015] [Indexed: 12/26/2022]
Abstract
We seek an aetiopathogenic model for the spectrum of Parkinson's disease (PD), functional bowel disease, depression and cognitive impairment. The adopted concept is that systemic immuno-inflammatory processes mediate neuro-inflammation. The model would be based on phenotype, exposome (including gastrointestinal microbiome), milieu (immuno-inflammatory and metabolome), human genetics and their interactions. It would enable a patient's position, to be understood in terms of drivers, perpetuators and mediators, and a future position, with and without intervention, predicted. Even the cardinal facets of PD may have different drivers: halting one may allow escape down subordinate pathways. Peptic ulceration is prodromal to PD. In our randomised placebo-controlled trial, hypokinesia improved over the year following biopsy-proven Helicobacter pylori eradication and rigidity worsened. This was independent of any (stable, long t½) antiparkinsonian medication. There are pointers to an autoimmune process: for example, surveillance-confirmed hypokinesia effect was indication specific. During surveillance, successive antimicrobial courses, other than for Helicobacter, were associated with cumulative increase in rigidity. Exhibiting laxatives appeared to stem the overall temporal increase, despite antiparkinsonian medication, in rigidity. Thus, intestinal dysbiosis may be a major source of bystander neuronal damage. There are biological gradients of objective measures of PD facets on circulating inflammatory markers and leucocyte subset counts. Moreover, lactulose hydrogen breath test positivity for small-intestinal bacterial overgrowth (present in two thirds of PD patients) is associated with the same subsets: higher natural killer and total CD4+ counts and lower neutrophils. With greater aetiopathogenic understanding, relatively low cost and on-the-shelf medication could have a major impact. A new generation of animal models, based on the gut microbiome, is envisaged.
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Affiliation(s)
- Sylvia M Dobbs
- Pharmaceutical Sciences, King's College London, London, UK. .,The Maudsley Hospital, London, UK. .,Department of Gastroenterology, King's College Hospital, London, UK.
| | - R John Dobbs
- Pharmaceutical Sciences, King's College London, London, UK.,The Maudsley Hospital, London, UK.,Department of Gastroenterology, King's College Hospital, London, UK
| | - Clive Weller
- Pharmaceutical Sciences, King's College London, London, UK
| | - André Charlett
- Pharmaceutical Sciences, King's College London, London, UK.,Statistics Unit, National Infection Service, Public Health England, London, UK
| | - Aisha Augustin
- Pharmaceutical Sciences, King's College London, London, UK.,The Maudsley Hospital, London, UK
| | - David Taylor
- Pharmaceutical Sciences, King's College London, London, UK.,The Maudsley Hospital, London, UK
| | - Mohammad A A Ibrahim
- Diagnostic Immunology Laboratory, King's College and St Thomas's Hospitals, London, UK
| | - Ingvar Bjarnason
- Department of Gastroenterology, King's College Hospital, London, UK
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27
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Bikov A, Lázár Z, Horvath I. Established methodological issues in electronic nose research: how far are we from using these instruments in clinical settings of breath analysis? J Breath Res 2015; 9:034001. [DOI: 10.1088/1752-7155/9/3/034001] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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28
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Affiliation(s)
- Ronald F Pfeiffer
- Department of Neurology, University of Tennessee Health Science Center Memphis, Tennessee
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29
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Speech disorders reflect differing pathophysiology in Parkinson’s disease, progressive supranuclear palsy and multiple system atrophy. J Neurol 2015; 262:992-1001. [DOI: 10.1007/s00415-015-7671-1] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 01/20/2015] [Accepted: 02/06/2015] [Indexed: 01/09/2023]
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