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Feddahi N, Hartmann L, Felderhoff-Müser U, Roy S, Lampe R, Maiti KS. Neonatal Exhaled Breath Sampling for Infrared Spectroscopy: Biomarker Analysis. ACS OMEGA 2024; 9:30625-30635. [PMID: 39035909 PMCID: PMC11256302 DOI: 10.1021/acsomega.4c02635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/17/2024] [Accepted: 06/24/2024] [Indexed: 07/23/2024]
Abstract
Monitoring health conditions in neonates for early therapeutic intervention in case deviations from physiological conditions is crucial for their long-term development. Due to their immaturity preterm born neonates are dependent on particularly careful physical and neurological diagnostic methods. Ideally, these should be noninvasive, noncontact, and radiation free. Infrared spectroscopy was used to analyze exhaled breath from 71 neonates with a special emphasis on preterm infants, as a noninvasive, noncontact, and radiation-free diagnostic tool. Passive sample collection was performed by skilled clinicians. Depending on the mode of respiratory support of infants, four different sampling procedures were adapted to collect exhaled breath. With the aid of appropriate reference samples, infrared spectroscopy has successfully demonstrated its effectiveness in the analysis of breath samples of neonates. The discernible increase in concentrations of carbon dioxide, carbon monoxide, and methane in collected samples compared to reference samples served as compelling evidence of the presence of exhaled breath. With regard to technical hurdles and sample analysis, samples collected from neonates without respiratory support proved to be more advantageous compared to those obtained from intubated infants and those with CPAP (continuous positive airway pressure). The main obstacle lies in the significant dilution of exhaled breath in the case of neonates receiving respiratory support. Metabolic analysis of breath samples holds promise for the development of noninvasive biomarker-based diagnostics for both preterm and sick neonates provided an adequate amount of breath is collected.
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Affiliation(s)
- Nadia Feddahi
- Center
for Translational and Neurobehavioural Sciences CTNBS, Department
of Pediatrics I, Neonatology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen 45147, Germany
| | - Lea Hartmann
- Center
for Translational and Neurobehavioural Sciences CTNBS, Department
of Pediatrics I, Neonatology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen 45147, Germany
| | - Ursula Felderhoff-Müser
- Center
for Translational and Neurobehavioural Sciences CTNBS, Department
of Pediatrics I, Neonatology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen 45147, Germany
| | - Susmita Roy
- Research
Unit of the Buhl-Strohmaier Foundation for Cerebral Palsy and Pediatric
Neuroorthopaedics, Department of Orthopaedics and Sports Orthopaedics,
TUM School of Medicine and Health, University Hospital Rechts der
Isar, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany
| | - Renée Lampe
- Research
Unit of the Buhl-Strohmaier Foundation for Cerebral Palsy and Pediatric
Neuroorthopaedics, Department of Orthopaedics and Sports Orthopaedics,
TUM School of Medicine and Health, University Hospital Rechts der
Isar, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany
- Markus
Würth Professorship, Technical University
of Munich, Ismaninger
Straße 22, 81675 Munich, Germany
| | - Kiran Sankar Maiti
- TUM
School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany
- Max-Planck-Institut
für Quantenoptik, Hans-Kopfermann-Straße 1, 85748 Garching, Germany
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Apolonski A, Roy S, Lampe R, Sankar Maiti K. Molecular identification of bio-fluids in gas phase using infrared spectroscopy. APPLIED OPTICS 2020; 59:E36-E41. [PMID: 32543511 DOI: 10.1364/ao.388362] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 04/08/2020] [Indexed: 06/11/2023]
Abstract
Bio-fluids are the source of a large number of metabolites. Identification and quantification of them can be an efficient step for understanding the internal chemistry of the body as well as for developing objective diagnostics of diseases. Several techniques have been developed so far; however, their metabolite identification and/or quantification are not reliable enough for acceptance by clinicians. As another promising step in this direction, we push infrared spectroscopy of bio-fluids in gas phase. Here we discuss features of breath and urine headspace realized with Fourier transform infrared spectroscopy. Molecular identification procedures based on component analysis of gas samples are proposed. In this paper, we show that aggregate data from different bio-fluids in gas phase can strengthen the diagnostics of the body state and disease.
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Maiti KS, Lewton M, Fill E, Apolonski A. Sensitive spectroscopic breath analysis by water condensation. J Breath Res 2018; 12:046003. [DOI: 10.1088/1752-7163/aad207] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Corradi M, Goldoni M, Mutti A. A review on airway biomarkers: exposure, effect and susceptibility. Expert Rev Respir Med 2015; 9:205-20. [PMID: 25561087 DOI: 10.1586/17476348.2015.1001373] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Current research in pulmonology requires the use of biomarkers to investigate airway exposure and diseases, for both diagnostic and prognostic purposes. The traditional approach based on invasive approaches (lung lavages and biopsies) can now be replaced, at least in part, through the use of non invasively collected specimens (sputum and breath), in which biomarkers of exposure, effect and susceptibility can be searched. The discovery of specific lung-related proteins, which can spill over in blood or excreted in urine, further enhanced the spectrum of airway specific biomarkers to be studied. The recent introduction of high-performance 'omic' technologies - genomics, proteomics and metabolomics, and the rate at which biomarker candidates are being discovered, will permit the use of a combination of biomarkers for a more precise selection of patient with different outcomes and responses to therapies. The aim of this review is to critically evaluate the use of airway biomarkers in the context of research and clinical practice.
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Affiliation(s)
- Massimo Corradi
- Department of Clinical and Experimental Medicine, University of Parma, Via Gramsci 14, 43123 Parma, Italy
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de Lacy Costello B, Amann A, Al-Kateb H, Flynn C, Filipiak W, Khalid T, Osborne D, Ratcliffe NM. A review of the volatiles from the healthy human body. J Breath Res 2014; 8:014001. [PMID: 24421258 DOI: 10.1088/1752-7155/8/1/014001] [Citation(s) in RCA: 532] [Impact Index Per Article: 53.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
A compendium of all the volatile organic compounds (VOCs) emanating from the human body (the volatolome) is for the first time reported. 1840 VOCs have been assigned from breath (872), saliva (359), blood (154), milk (256), skin secretions (532) urine (279), and faeces (381) in apparently healthy individuals. Compounds were assigned CAS registry numbers and named according to a common convention where possible. The compounds have been grouped into tables according to their chemical class or functionality to permit easy comparison. Some clear differences are observed, for instance, a lack of esters in urine with a high number in faeces. Careful use of the database is needed. The numbers may not be a true reflection of the actual VOCs present from each bodily excretion. The lack of a compound could be due to the techniques used or reflect the intensity of effort e.g. there are few publications on VOCs from blood compared to a large number on VOCs in breath. The large number of volatiles reported from skin is partly due to the methodologies used, e.g. collecting excretions on glass beads and then heating to desorb VOCs. All compounds have been included as reported (unless there was a clear discrepancy between name and chemical structure), but there may be some mistaken assignations arising from the original publications, particularly for isomers. It is the authors' intention that this database will not only be a useful database of VOCs listed in the literature, but will stimulate further study of VOCs from healthy individuals. Establishing a list of volatiles emanating from healthy individuals and increased understanding of VOC metabolic pathways is an important step for differentiating between diseases using VOCs.
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Affiliation(s)
- B de Lacy Costello
- Institute of Biosensor Technology, University of the West of England, Bristol BS16 1QY, UK
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