Mark V. Ivanov

Dr. Mark V. Ivanov


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 January 2013 in Journal of the American Society for Mass Spectrometry
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AGAnton A. Goloborodko
Anton A. Goloborodko
LLLev I. Levitsky
Lev I. Levitsky
MIMark V. Ivanov
Mark V. Ivanov
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

21 December 2018 in Journal of Proteome Research
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Journal Article
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LLLev I. Levitsky
Lev I. Levitsky
JKJoshua A. Klein
Joshua A. Klein
MIMark V. Ivanov
Mark V. Ivanov
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

13 December 2016 in Journal of Proteome Research
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Journal Article
Closed access
LLLev I. Levitsky
Lev I. Levitsky
MIMark V. Ivanov
Mark V. Ivanov
ALAnna Lobas
Anna Lobas
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

23 April 2018 in Journal of Proteome Research
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Journal Article
Closed access
LLLev I. Levitsky
Lev I. Levitsky
MIMark V. Ivanov
Mark V. Ivanov
ALAnna A. Lobas
Anna A. Lobas
JBJulia A. Bubis
Julia A. Bubis
ITIrina A. Tarasova
Irina A. Tarasova
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

8 December 2018 in Proteomics
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Journal Article
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MIMark V. Ivanov
Mark V. Ivanov
LLLev I. Levitsky
Lev I. Levitsky
JBJulia A. Bubis
Julia A. Bubis
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

19 February 2014 in Respiration
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Journal Article
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PSPablo Sinues
Pablo Sinues
LMLukas Meier
Lukas Meier
CBChristian Berchtold
Christian Berchtold
MIMark V. Ivanov
Mark V. Ivanov
NSNoriane Sievi
Noriane Sievi
RZRenato Zenobi
Renato Zenobi
Background: It has been suggested that exhaled breath contains relevant information on health status. Objectives: We hypothesized that a novel mass spectrometry (MS) technique to analyze breath in real time could be useful to differentiate breathprints from chronic obstructive pulmonary disease (COPD) patients and controls (smokers and nonsmokers). Methods: We studied 61 participants including 25 COPD patients [Global Initiative for Obstructive Lung Disease (GOLD) stages I-IV], 25 nonsmoking controls and 11 smoking controls. We analyzed their breath by MS in real time. Raw mass spectra were then processed and statistically analyzed. Results: A panel of discriminating mass-spectral features was identified for COPD (all stages; n = 25) versus healthy nonsmokers (n = 25), COPD (all stages; n = 25) versus healthy smokers (n = 11) and mild COPD (GOLD stages I/II; n = 13) versus severe COPD (GOLD stages III/IV; n = 12). A blind classification (i.e. leave-one-out cross validation) resulted in 96% sensitivity and 72.7% specificity (COPD vs. smoking controls), 88% sensitivity and 92% specificity (COPD vs. nonsmoking controls) and 92.3% sensitivity and 83.3% specificity (GOLD I/II vs. GOLD III/IV). Acetone and indole were identified as two of the discriminating exhaled molecules. Conclusions: We conclude that real-time MS may be a useful technique to analyze and characterize the metabolome of exhaled breath. The acquisition of breathprints in a rapid manner may be valuable to support COPD diagnosis and to gain insight into the disease.