Maarten Naesens
Katholieke Universiteit Leuven
294 Papers
768 Citations
Maarten Naesens is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Transplantation & Medicine. The author has an hindex of 48, co-authored 221 publications. Previous affiliations of Maarten Naesens include The Catholic University of America & California Pacific Medical Center.
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Papers
Mesangial matrix expansion in a novel mouse model of diabetic kidney disease associated with the metabolic syndrome
Elisabet Van Loon,Joseph Pierre Aboumsallem,Evelyne Lerut,Marija Bogojevic,Aleksandar Denic,Walter D. Park,Ilayaraja Muthuramu,Mudit Mishra,Mark D. Stegall,Maarten Naesens,Bart De Geest +10 more
TL;DR: In this paper, a mouse model of type 2 diabetes mellitus induced by a high-fructose/high-fat (HSHF) diet in female LDL-receptor knockout C57BL/6J mice was used to examine the renal histological changes.
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Rethinking peritubular capillary basement membrane multilayering in renal transplant pathology: a case report
Diana Maria Lopategui,Diana Maria Lopategui,Evelyne Lerut,Maarten Naesens,Rita Van Damme-Lombaerts,Elena Levtchenko,Noël Knops +6 more
TL;DR: The unexpected findings in a young male adolescent with underlying focal segmental glomerulosclerosis who underwent a living-related donor transplant procedure, a case which brought into question the specificity of ML, are described and the phenomenon of ML in renal disease is discussed.
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Potential and Uncertainties of RejectClass in Acute Kidney Graft Dysfunction: An Independent Validation Study.
Friedrich Alexander von Samson-Himmelstjerna,Nassim Kakavand,Charlotte Gleske,Florian Schraml,Agathe A Basta,Matthias C. Braunisch,Jan Hinrich Bräsen,Jessica Schmitz,Daniel Kraus,Julia Weinmann-Menke,Helena U. Zacharias,Thibaut Vaulet,Maarten Naesens,Markus Krautter,Vedat Schwenger,Grit Esser,Benedikt Kolbrink,Kerstin Amann,Christopher Holzmann-Littig,Fabian Echterdiek,Ulrich Kunzendorf,Lutz Renders,Kevin Schulte,Uwe Heemann +23 more
TL;DR: The composite inflammation and chronicity scores may already have direct utility in quantitatively assessing the disease stage and further refinement and validation of RejectClass clusters are necessary to achieve more reliable and accurate phenotyping of rejection.
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