Ghent University Academic Bibliography

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In silico prediction of optimal multifactorial intervention in chronic kidney disease

Agnieszka Latosinska, Ioanna K. Mina, Thi Minh Nghia Nguyen, Igor Golovko, Felix Keller, Gert Mayer, Peter Rossing, Jan A. Staessen, Christian Delles, Joachim Beige, et al.

(2025) JOURNAL OF TRANSLATIONAL MEDICINE. 23(1).
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Glycosylation analysis of urinary peptidome highlights IGF2 glycopeptides in association with CKD

Sonnal Lohia, Agnieszka Latosinska, Jerome Zoidakis, Manousos Makridakis, Harald Mischak, Griet Glorieux (UGent) , Antonia Vlahou and Vera Jankowski

(2023) INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. 24(6).
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Machine learning-based urine peptidome analysis to predict and understand mechanisms of progression to kidney failure

Ziad A. Massy, Oriane Lambert, Marie Metzger, Mohammed Sedki, Adeline Chaubet, Benjamin Breuil, Acil Jaafar, Ivan Tack, Thao Nguyen-Khoa, Melinda Alves, et al.

(2023) KIDNEY INTERNATIONAL REPORTS. 8(3). p.544-555
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The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease

Francis Verbeke (UGent) , Justyna Siwy, Wim Van Biesen (UGent) , Harald Mischak, Anneleen Pletinck, Eva Schepers (UGent) , Nathalie Neirynck (UGent) , Pedro Magalhães, Martin Pejchinovski, Claudia Pontillo, et al.

(2021) NEPHROLOGY DIALYSIS TRANSPLANTATION. 36(5). p.811-818
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Urinary proteomics combined with home blood pressure telemonitoring for health care reform trial : rational and protocol

Lutgarde Thijs, Kei Asayama, Gladys E. Maestre, Tine W. Hansen, Luk Buyse, Dong-Mei Wei, Jesus D. Melgarejo, Jana Brguljan-Hitij, Hao-Min Cheng, Fabio de Souza, et al.

(2021) BLOOD PRESSURE. 30(5). p.269-281
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Data sharing under the General Data Protection Regulation : time to harmonize law and research ethics?

Antonia Vlahou, Dara Hallinan, Rolf Apweiler, Angel Argiles, Joachim Beige, Ariela Benigni, Rainer Bischoff, Peter C. Black, Franziska Boehm, Jocelyn Ceraline, et al.

(2021) HYPERTENSION. 77(4). p.1029-1035
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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, Andreas L. Birkenfeld, Gemma Currie, Christian Delles, Ingo Dimos, et al.

(2020) LANCET DIABETES & ENDOCRINOLOGY. 8(4). p.301-312
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Value of urinary proteome-based classifier associated with chronic kidney disease and its progression in the prognosis of a patient-relevant endpoint, mortality

Justyna Siwy, Pedro Magalhaes, Eva Schepers (UGent) , Claudia Pontillo, Antonia Vlahou, Griet Glorieux (UGent) and Harald Mischak

(2018) NEPHROLOGY DIALYSIS TRANSPLANTATION. 33(suppl. 1).
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A urinary proteome-based classifier for the early detection of decline in glomerular filtration

Claudia Pontillo, Lotte Jacobs, Jan A Staessen, Joost P Schanstra, Peter Rossing, Hiddo JL Heerspink, Justyna Siwy, William Mullen, Antonia Vlahou, Harald Mischak, et al.

(2017) NEPHROLOGY DIALYSIS TRANSPLANTATION. 32(9). p.1510-1516
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Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis

Justyna Siwy, Petra Zürbig, Angel Argiles, Joachim Beige, Marion Haubitz, Joachim Jankowski, Bruce A Julian, Peter G Linde, David Marx, Harald Mischak, et al.

(2017) NEPHROLOGY DIALYSIS TRANSPLANTATION. 32(12). p.2079-2089

Academic Bibliography

In silico prediction of optimal multifactorial intervention in chronic kidney disease

Glycosylation analysis of urinary peptidome highlights IGF2 glycopeptides in association with CKD

Machine learning-based urine peptidome analysis to predict and understand mechanisms of progression to kidney failure

The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease

Urinary proteomics combined with home blood pressure telemonitoring for health care reform trial : rational and protocol

Data sharing under the General Data Protection Regulation : time to harmonize law and research ethics?

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

Value of urinary proteome-based classifier associated with chronic kidney disease and its progression in the prognosis of a patient-relevant endpoint, mortality

A urinary proteome-based classifier for the early detection of decline in glomerular filtration

Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis

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