Alain Brunelle

Dr. Alain Brunelle

orcid

Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

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

Representative Publications

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1 October 2005 in Journal of the American Society for Mass Spectrometry
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Journal Article
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DTDavid Touboul
David Touboul
FKFelix Kollmer
Felix Kollmer
ENEwald Niehuis
Ewald Niehuis
ABAlain Brunelle
Alain Brunelle
OLOlivier Laprévote
Olivier Laprévote

1 August 2012 in Journal of Proteomics
Verified
Journal Article
Closed access
TSThorsten Schramm
Thorsten Schramm
ZHZoë Hester
Zoë Hester
IKIvo Klinkert
Ivo Klinkert
JBJean-Pierre Both
Jean-Pierre Both
RHRon M.A. Heeren
Ron M.A. Heeren
ARAndreas Roempp
Andreas Roempp

17 February 2004 in Analytical Chemistry
Verified
Journal Article
Closed access
DTDavid Touboul
David Touboul
FHFréderic Halgand
Fréderic Halgand
ABAlain Brunelle
Alain Brunelle
RKReinhard Kersting
Reinhard Kersting
ETElke Tallarek
Elke Tallarek
OLOlivier Laprévote
Olivier Laprévote

24 April 2017 in Scientific Reports
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Journal Article
Open access
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FCFranck Chiappini
Franck Chiappini
ACAudrey Coilly
Audrey Coilly
HKHanane Kadar
Hanane Kadar
PGPhilippe Gual
Philippe Gual
ATAlbert Tran
Albert Tran
FNFrançois Le Naour
François Le Naour
Nonalcoholic steatohepatitis (NASH) is a condition which can progress to cirrhosis and hepatocellular carcinoma. Markers for NASH diagnosis are still lacking. We performed a comprehensive lipidomic analysis on human liver biopsies including normal liver, nonalcoholic fatty liver and NASH. Random forests-based machine learning approach allowed characterizing a signature of 32 lipids discriminating NASH with 100% sensitivity and specificity. Furthermore, we validated this signature in an independent group of NASH patients. Then, metabolism dysregulations were investigated in both patients and murine models. Alterations of elongase and desaturase activities were observed along the fatty acid synthesis pathway. The decreased activity of the desaturase FADS1 appeared as a bottleneck, leading upstream to an accumulation of fatty acids and downstream to a deficiency of long-chain fatty acids resulting to impaired phospholipid synthesis. In NASH, mass spectrometry imaging on tissue section revealed the spreading into the hepatic parenchyma of selectively accumulated fatty acids. Such lipids constituted a highly toxic mixture to human hepatocytes. In conclusion, this study characterized a specific and sensitive lipid signature of NASH and positioned FADS1 as a significant player in accumulating toxic lipids during NASH progression.

7 November 2018 in Nature
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Journal Article
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BMBénédicte Ménez
Bénédicte Ménez
CPCéline Pisapia
Céline Pisapia
MAMuriel Andreani
Muriel Andreani
FJFrederic Jamme
Frederic Jamme
QVQuentin P. Vanbellingen
Quentin P. Vanbellingen
MRMatthieu Refregiers
Matthieu Refregiers

16 August 2005 in Journal of Mass Spectrometry
Verified
Journal Article
Open access
PDF file
ABAlain Brunelle
Alain Brunelle
DTDavid Touboul
David Touboul
OLOlivier Laprévote
Olivier Laprévote
Time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS) using liquid metal ion guns (LMIGs) is now sensitive enough to produce molecular‐ion images directly from biological tissue samples. Primary cluster ions strike a spot on the sample to produce a mass spectrum. An image of this sample is achieved by rastering the irradiated point over the sample surface. The use of secondary ion mass spectrometry for mapping biological tissue surfaces provides unique analytical capabilities; in particular, it enables in a single acquisition a large variety of biological compounds to be localised on a micrometer scale and scrutinised for colocalisations. Without any treatment of the sample, this method is fully compatible with subsequent and complementary analyses like fluorescence microscopy, histochemical staining, or even matrix‐assisted laser desorption/ionisation imaging. Basic physical concepts, required instrumentation (ion source and mass analyzer), sample preparation methods, image acquisition, image processing, and emerging biological applications will be described and discussed. Copyright © 2005 John Wiley & Sons, Ltd.