Yuri E.M. Van Der Burgt

Dr. Yuri E.M. Van Der Burgt

Leiden University Medical Center (LUMC), The Netherlands
orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

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

Representative Publications

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1 June 1995 in Organometallics
Verified
Journal Article
Closed access
MKMirko Kranenburg
Mirko Kranenburg
YBYuri E.M. Van Der Burgt
Yuri E.M. Van Der Burgt
PKPaul C. J. Kamer
Paul C. J. Kamer
PLPiet W. N. M. van Leeuwen
Piet W. N. M. van Leeuwen
KGKees Goubitz
Kees Goubitz
JFJan Fraanje
Jan Fraanje

1 January 2007 in Journal of the American Society for Mass Spectrometry
Verified
Journal Article
Closed access
ITIoana M. Taban
Ioana M. Taban
AAA. F. Maarten Altelaar
A. F. Maarten Altelaar
YBYuri E.M. Van Der Burgt
Yuri E.M. Van Der Burgt
LMLiam Andrew McDonnell
Liam Andrew McDonnell
RHRon M. A. Heeren
Ron M. A. Heeren
GBGökhan Baykut
Gökhan Baykut

10 May 2011 in Mass Spectrometry Reviews
Verified
Journal Article
Closed access
PDF file
MWManfred Wuhrer
Manfred Wuhrer
ADAndré M. Deelder
André M. Deelder
YBYuri E.M. Van Der Burgt
Yuri E.M. Van Der Burgt

19 August 2020 in Journal of the American Society for Mass Spectrometry
Verified
Journal Article
Closed access
KSKristina Srzentić
Kristina Srzentić
LFLuca Fornelli
Luca Fornelli
YTYury O. Tsybin
Yury O. Tsybin
JLJoseph A. Loo
Joseph A. Loo
HSHenrique Seckler
Henrique Seckler
MZMowei Zhou
Mowei Zhou

1 January 2016 in Clinical Chemistry
Verified
Journal Article
Open access
PDF file
IBIrene van Den Broek
Irene van Den Broek
FRFred P H T M Romijn
Fred P H T M Romijn
JNJan Nouta
Jan Nouta
ALArnoud van der Laarse
Arnoud van der Laarse
JDJan W Drijfhout
Jan W Drijfhout
CCChrista M Cobbaert
Christa M Cobbaert
BACKGROUND: Direct and calculated measures of lipoprotein fractions for cardiovascular risk assessment suffer from analytical inaccuracy in certain dyslipidemic and pathological states, most commonly hypertriglyceridemia. LC-MS/MS has proven suitable for multiplexed quantification and phenotyping of apolipoproteins. We developed and provisionally validated an automated assay for quantification of apolipoprotein (apo) A-I, B, C-I, C-II, C-III, and E and simultaneous qualitative assessment of apoE phenotypes. METHODS: We used 5 value-assigned human serum pools for external calibration. Serum proteins were denatured, reduced, and alkylated according to standard mass spectrometry–based proteomics procedures. After trypsin digestion, peptides were analyzed by LC-MS/MS. For each peptide, we measured 2 transitions. We compared LC-MS/MS results to those obtained by an immunoturbidimetric assay or ELISA. RESULTS: Intraassay CVs were 2.3%–5.5%, and total CVs were 2.5%–5.9%. The LC-MS/MS assay correlated (R = 0.975–0.995) with immunoturbidimetric assays with Conformité Européenne marking for apoA-I, apoB, apoC-II, apoC-III, and apoE in normotriglyceridemic (n = 54) and hypertriglyceridemic (n = 46) sera. Results were interchangeable for apoA-I ≤3.0 g/L (Deming slope 1.014) and for apoB-100 ≤1.8 g/L (Deming slope 1.016) and were traceable to higher-order standards. CONCLUSIONS: The multiplex format provides an opportunity for new diagnostic and pathophysiologic insights into types of dyslipidemia and allows a more personalized approach for diagnosis and treatment of lipid abnormalities.

11 August 2015 in Journal of Proteome Research
Verified
Journal Article
Closed access
MBMarco Bladergroen
Marco Bladergroen
KRKarli R. Reiding
Karli R. Reiding
AEAgnes Hipgrave Ederveen
Agnes Hipgrave Ederveen
GVGerda C.M. Vreeker
Gerda C.M. Vreeker
FCFlorent Clerc
Florent Clerc
YBYuri E.M. Van Der Burgt
Yuri E.M. Van Der Burgt