Giuseppe Deganutti

Dr. Giuseppe Deganutti

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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12 September 2018 in Nature
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Journal Article
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YLYi-Lynn Liang
Yi-Lynn Liang
MKMaryam Khoshouei
Maryam Khoshouei
GDGiuseppe Deganutti
Giuseppe Deganutti
AGAlisa Glukhova
Alisa Glukhova
CKCassandra Koole
Cassandra Koole
PSPatrick M Sexton
Patrick M Sexton

8 January 2020 in Nature
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Journal Article
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PZPeishen Zhao
Peishen Zhao
YLYi-Lynn Liang
Yi-Lynn Liang
MBMatthew J. Belousoff
Matthew J. Belousoff
GDGiuseppe Deganutti
Giuseppe Deganutti
MFMadeleine M. Fletcher
Madeleine M. Fletcher
DWDenise Wootten
Denise Wootten

7 September 2023 in Nature Genetics
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Journal Article
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VLVasiliki Lagou
Vasiliki Lagou
LJLongda Jiang
Longda Jiang
AUAnna Ulrich
Anna Ulrich
LZLiudmila Zudina
Liudmila Zudina
KGKarla Sofia Gutiérrez González
Karla Sofia Gutiérrez González
M(Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC)
Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC)
Conventional measurements of fasting and postprandial blood glucose levels investigated in genome-wide association studies (GWAS) cannot capture the effects of DNA variability on ‘around the clock’ glucoregulatory processes. Here we show that GWAS meta-analysis of glucose measurements under nonstandardized conditions (random glucose (RG)) in 476,326 individuals of diverse ancestries and without diabetes enables locus discovery and innovative pathophysiological observations. We discovered 120 RG loci represented by 150 distinct signals, including 13 with sex-dimorphic effects, two cross-ancestry and seven rare frequency signals. Of these, 44 loci are new for glycemic traits. Regulatory, glycosylation and metagenomic annotations highlight ileum and colon tissues, indicating an underappreciated role of the gastrointestinal tract in controlling blood glucose. Functional follow-up and molecular dynamics simulations of lower frequency coding variants in glucagon-like peptide-1 receptor (GLP1R), a type 2 diabetes treatment target, reveal that optimal selection of GLP-1R agonist therapy will benefit from tailored genetic stratification. We also provide evidence from Mendelian randomization that lung function is modulated by blood glucose and that pulmonary dysfunction is a diabetes complication. Our investigation yields new insights into the biology of glucose regulation, diabetes complications and pathways for treatment stratification.

14 April 2016 in Journal of Chemical Information and Modeling
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Journal Article
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ACAlberto Cuzzolin
Alberto Cuzzolin
Mattia SturleseMattia Sturlese
Mattia Sturlese
GDGiuseppe Deganutti
Giuseppe Deganutti
VSVeronica Salmaso
Veronica Salmaso
DSDavide Sabbadin
Davide Sabbadin
Stefano MoroStefano Moro
Stefano Moro

20 March 2020 in ACS Pharmacology & Translational Science
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Journal Article
Closed access
YLYi-Lynn Liang
Yi-Lynn Liang
MBMatthew J. Belousoff
Matthew J. Belousoff
MFMadeleine M. Fletcher
Madeleine M. Fletcher
XZXin Zhang
Xin Zhang
MKMaryam Khoshouei
Maryam Khoshouei
PSPatrick M Sexton
Patrick M Sexton

10 January 2022 in Nature Communications
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Journal Article
Open access
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GDGiuseppe Deganutti
Giuseppe Deganutti
YLYi-Lynn Liang
Yi-Lynn Liang
XZXin Zhang
Xin Zhang
MKMaryam Khoshouei
Maryam Khoshouei
LCLachlan Clydesdale
Lachlan Clydesdale
DWDenise Wootten
Denise Wootten
The glucagon-like peptide-1 receptor (GLP-1R) has broad physiological roles and is a validated target for treatment of metabolic disorders. Despite recent advances in GLP-1R structure elucidation, detailed mechanistic understanding of how different peptides generate profound differences in G protein-mediated signalling is still lacking. Here we combine cryo-electron microscopy, molecular dynamics simulations, receptor mutagenesis and pharmacological assays, to interrogate the mechanism and consequences of GLP-1R binding to four peptide agonists; glucagon-like peptide-1, oxyntomodulin, exendin-4 and exendin-P5. These data reveal that distinctions in peptide N-terminal interactions and dynamics with the GLP-1R transmembrane domain are reciprocally associated with differences in the allosteric coupling to G proteins. In particular, transient interactions with residues at the base of the binding cavity correlate with enhanced kinetics for G protein activation, providing a rationale for differences in G protein-mediated signalling efficacy from distinct agonists.