M
Maria Lajer
Researcher at Steno Diabetes Center
Publications - 55
Citations - 2392
Maria Lajer is an academic researcher from Steno Diabetes Center. The author has contributed to research in topics: Diabetes mellitus & Diabetic nephropathy. The author has an hindex of 25, co-authored 53 publications receiving 1972 citations.
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Journal ArticleDOI
Serum adiponectin predicts all-cause mortality and end stage renal disease in patients with type I diabetes and diabetic nephropathy.
Anders Jorsal,Lise Tarnow,Jan Frystyk,Maria Lajer,Allan Flyvbjerg,Hans-Henrik Parving,Hans-Henrik Parving,Nathalie Vionnet,Peter Rossing +8 more
TL;DR: Two of eight gene polymorphisms, found in the 878 patients, were associated with increased serum adiponectin levels but none of the polymorphisms were associatedWith a renal or cardiovascular outcome.
Journal ArticleDOI
Early detection of diabetic kidney disease by urinary proteomics and subsequent intervention with spironolactone to delay progression (PRIORITY) : a prospective observational study and embedded randomised placebo-controlled trial
Nete Tofte,Morten Lindhardt,Katarina Adamova,Stephan J. L. Bakker,Joachim Beige,Joline W.J. Beulens,Joline W.J. Beulens,Andreas L. Birkenfeld,Gemma Currie,Christian Delles,Ingo Dimos,Lidmila Francová,Marie Frimodt-Møller,Peter Girman,Rüdiger Göke,Tereza Havrdova,Hiddo J.L. Heerspink,Adriaan Kooy,Gozewijn D. Laverman,Harald Mischak,Gerjan Navis,Giel Nijpels,Marina Noutsou,Alberto Ortiz,Aneliya Parvanova,Frederik Persson,John R. Petrie,Piero Ruggenenti,Femke Rutters,Ivan Rychlik,Justyna Siwy,Goce Spasovski,Marijn M. Speeckaert,Matias Trillini,Petra Zürbig,Heiko von der Leyen,Peter Rossing,Peter Rossing,Silke Zimmermann,Silke Zimmermann,Brit Rädisch,Anika Hävemeier,Annette Busmann,Ulrike Wittkop,Barbara Neuhaus,Regina Ax-Smolarski,Veit Zieglschmid,Eva Bollweber,Heidrun Wölk,Viktor Rotbain Curovic,Ninna Hahn Tougaard,Mie K. Eickhoff,Sascha Pilemann-Lyberg,Signe Abitz Winther,Signe Rosenlund,Tine W. Hansen,Bernt Johan von Scholten,Christian Stevns Hansen,Emilie H. Zobel,Jens C. Laursen,Simone Theilade,Lone Jelstrup,Tina R. Juhl,Dorthe Riis,Jessie A. Hermann,Anne G. Lundgaard,Maja L.D. Halkjær,Lene Aabo,Therese Frost Lerche,Maria Lajer,Rikke J. Stefansen,Maria A. Campbell,Annika Durban,Julia Raad,Michael Prigge,Marco Schiemann,Robbie Wilson,Sharon Kean,Elizabeth Douglas,Pamela Surtees,Christina M. Gant,Stanley M H Yeung,Ilse J. M. Hagedoorn,Joanne Flynn,Joe Galloway,Katriona Brooksbank,Carolina Aparicio,Ilian Iliev,Francesco Nones,Francesca Lo Bue,Daniela Melacini,Daniela Cugini,Silvia Prandini,Verusca Lecchi,Svitlana Yakymchuk,Giulia Gherardi,Alessandro Villa,Davide Villa,Flavio Gaspari,Antonio Cannata,Silvia Ferrari,Nadia Stucchi,Šárka Albrechtová,Elina Eldeik,Renata Amanaki,Beatriz Fernandez-Fernandez,Jinny Sanchez-Rodriguez,Clotilde Vázquez,Ana Belen Sanz,Maria Dolores Sanchez-Niño,Adrian M. Ramos,Maria Á. Gonzalo,Ulrike Schmidt,Gjulsen Selim,Tatjana Gjorgovski,Slavica S. Stratrova,Olivera Stojceva-Taneva,Petra Schutten-Westerneng,Brenda Wierbos,Frank Huvers,Anneke K. De Bruin,Bruno Lapauw,Elsie de Man,Kelly Rokegem,Sabien Inion,Kristin Kreutzmann,Isabelle Dewettinck,Caroline Boukens-de Graaf,Ferrina Clerc-de Jong,Jannet Entius,Marian Nannings,Suzy van Steenderen,Friedrich W. Petry,Ceyda Kilic +133 more
TL;DR: This study recruited people with type 2 diabetes, normal urinary albumin excretion, and preserved renal function from 15 specialist centres in ten European countries and tested whether a urinary proteomic risk classifier (CKD273) score was associated with development of microalbuminuria and whether progression to micro Albuminuria could be prevented with the mineralocorticoid receptor antagonist spironolactone.
Journal ArticleDOI
A urinary peptide biomarker set predicts worsening of albuminuria in type 2 diabetes mellitus
Sara S. Roscioni,Dick de Zeeuw,Merel E. Hellemons,Harald Mischak,Petra Zürbig,S. J. L. Bakker,Ron T. Gansevoort,Henrik Reinhard,Frederik Persson,Maria Lajer,Peter Rossing,Peter Rossing,Peter Rossing,H. J. Lambers Heerspink +13 more
TL;DR: Analysis of a urinary biomarker set enables early renal risk assessment in patients with diabetes and suggests the role of urinary proteomics in the prevention of renal failure in diabetes.
Journal ArticleDOI
Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes
Anders Albrechtsen,Niels Grarup,Yun Li,Thomas Sparsø,G. Tian,H. Cao,T. Jiang,S. Y. Kim,Thorfinn Sand Korneliussen,Q. Li,Chao Nie,R. Wu,Line Skotte,Andrew P. Morris,Claes Ladenvall,Stéphane Cauchi,Alena Stančáková,Gregers S. Andersen,Arne Astrup,Karina Banasik,Amanda J. Bennett,Lars Bolund,Guillaume Charpentier,Yi Chen,J. M. Dekker,Alex S. F. Doney,Mozhgan Dorkhan,Tom Forsén,Timothy M. Frayling,Christopher J. Groves,Y. Gui,Göran Hallmans,Andrew T. Hattersley,Kunlun He,Graham A. Hitman,Johan Holmkvist,S. Huang,H. Jiang,Xin Jin,Johanne Marie Justesen,Karsten Kristiansen,Johanna Kuusisto,Maria Lajer,Olivier Lantieri,Weijing Li,H. Liang,Q. Liao,X. Liu,T. Ma,X. Ma,M. P. Manijak,Michel Marre,Michel Marre,Jacek Mokrosinski,Andrew D. Morris,B. Mu,Aneta Aleksandra Nielsen,Giel Nijpels,Peter M. Nilsson,Colin N. A. Palmer,Nigel W. Rayner,Nigel W. Rayner,Frida Renström,Rasmus Ribel-Madsen,Neil Robertson,Neil Robertson,Olov Rolandsson,Peter Rossing,Thue W. Schwartz,P.E. Slagboom,Maria Sterner,M. Tang,Lise Tarnow,Tiinamaija Tuomi,E. van 't Riet,N. van Leeuwen,Tibor V. Varga,Marie A. Vestmar,Mark Walker,B. Wang,Y. Wang,H. Wu,F. Xi,Loic Yengo,Chang Yu,Xiaoming Zhang,J. Zhang,Q. Zhang,Weihua Zhang,H. Zheng,Y. Zhou,David Altshuler,David Altshuler,Leen M 't Hart,Paul W. Franks,Paul W. Franks,Paul W. Franks,B. Balkau,Philippe Froguel,Philippe Froguel,Mark I. McCarthy,Mark I. McCarthy,Mark I. McCarthy,Markku Laakso,Leif Groop,Cramer Christensen,Ivan Brandslund,Torsten Lauritzen,Daniel R. Witte,Allan Linneberg,Torben Jørgensen,Torben Jørgensen,Torben Jørgensen,Torben Hansen,Torben Hansen,Jun Wang,Rasmus Nielsen,Rasmus Nielsen,Oluf Pedersen +118 more
TL;DR: Exome sequencing is applied as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits.
Journal ArticleDOI
Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen.
Rany M. Salem,Jennifer Todd,Jennifer Todd,Niina Sandholm,Joanne B. Cole,Joanne B. Cole,Wei-Min Chen,Darrell Andrews,Marcus G. Pezzolesi,Paul M. McKeigue,Linda T. Hiraki,Chengxiang Qiu,Viji Nair,Chen Di Liao,Jing Jing Cao,Erkka Valo,Suna Onengut-Gumuscu,Adam M. Smiles,Stuart J. McGurnaghan,Jani K. Haukka,Valma Harjutsalo,Eoin P. Brennan,Natalie R. van Zuydam,Emma Ahlqvist,Ross Doyle,Tarunveer S. Ahluwalia,Maria Lajer,Maria Hughes,Jihwan Park,Jan Skupien,Athina Spiliopoulou,Andrew C. Liu,Rajasree Menon,Carine M. Boustany-Kari,Hyun Min Kang,Robert G. Nelson,Ronald Klein,Barbara E.K. Klein,Kristine E. Lee,Xiaoyu Gao,Michael Mauer,Silvia Maestroni,Maria Luiza Caramori,Ian H. de Boer,Rachel G. Miller,Jingchuan Guo,Andrew P. Boright,David-Alexandre Trégouët,David-Alexandre Trégouët,Beata Gyorgy,Beata Gyorgy,Janet K. Snell-Bergeon,David M. Maahs,Shelley B. Bull,Angelo J. Canty,Colin N. A. Palmer,Lars Stechemesser,Bernhard Paulweber,Raimund Weitgasser,Jelizaveta Sokolovska,Vita Rovīte,Valdis Pīrāgs,Edita Prakapiene,Lina Radzeviciene,Rasa Verkauskiene,Nicolae Mircea Panduru,Nicolae Mircea Panduru,Leif Groop,Leif Groop,Mark I. McCarthy,Harvest F. Gu,Anna Möllsten,Henrik Falhammar,Henrik Falhammar,Kerstin Brismar,Kerstin Brismar,Finian Martin,Peter Rossing,Peter Rossing,Tina Costacou,Gianpaolo Zerbini,Michel Marre,Samy Hadjadj,Amy Jayne McKnight,Carol Forsblom,Gareth J. McKay,Catherine Godson,A. Peter Maxwell,Matthias Kretzler,Katalin Susztak,Helen M. Colhoun,Andrzej S. Krolewski,Andrew D. Paterson,Per-Henrik Groop,Stephen S. Rich,Joel N. Hirschhorn,Joel N. Hirschhorn,Jose C. Florez +97 more
TL;DR: In this paper, a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes were assembled through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, and 16 genome-wide significant risk loci were identified.