Michelle J. Pena

ORCID: 0000-0003-3340-2893
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About
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Research Areas
  • Chronic Kidney Disease and Diabetes
  • Diabetes Treatment and Management
  • Blood Pressure and Hypertension Studies
  • Dialysis and Renal Disease Management
  • Hormonal Regulation and Hypertension
  • Renal Diseases and Glomerulopathies
  • Diet and metabolism studies
  • Heart Failure Treatment and Management
  • Metabolomics and Mass Spectrometry Studies
  • Genetic and Kidney Cyst Diseases
  • Statistical Methods in Clinical Trials
  • Biomedical Research and Pathophysiology
  • COVID-19 Clinical Research Studies
  • Pharmacogenetics and Drug Metabolism
  • Erythropoietin and Anemia Treatment
  • Sepsis Diagnosis and Treatment
  • Liver Disease Diagnosis and Treatment
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Machine Learning in Healthcare
  • Pancreatitis Pathology and Treatment
  • GDF15 and Related Biomarkers
  • Pancreatic function and diabetes
  • Artificial Intelligence in Healthcare
  • Cancer Treatment and Pharmacology
  • Lipoproteins and Cardiovascular Health

University of Groningen
2015-2024

University Medical Center Groningen
2015-2024

Vall d'Hebron Hospital Universitari
2021-2022

Vall d'Hebron Institut de Recerca
2021-2022

Dialyse Centrum Groningen
2018

The University of Texas Health Science Center at San Antonio
2011-2014

Luuk B. Hilbrands Raphaël Duivenvoorden Priya Vart Casper Franssen Marc H. Hemmelder and 95 more Kitty J. Jager Lyanne M. Kieneker Marlies Noordzij Michelle J. Pena Hanne de Vries David Arroyo Adrian Covic Marta Crespo Éric Goffin Mahmud İslam Ziad A. Massy Núria Montero João Oliveira Ana Roca Muñoz J. Emilio Sánchez-Álvarez Sivakumar Sridharan Rebecca Winzeler Ron T. Gansevoort Jeroen B. van der Net Marie Essig Peggy W G du Buf-Vereijken Betty van Ginneken Nanda Maas Liffert Vogt Brigit C. van Jaarsveld Fréderike J. Bemelman Farah Klingenberg-Salahova Frederiek Heenan‐Vos Marc Vervloet Azam Nurmohamed Daniel Abramowicz Sabine Verhofstede Omar Maoujoud Jana Fialová Edoardo Melilli Àlex Favà Josep M. Cruzado Joy Lips Maaike Hengst Ryszard Gellert Andrzej Rydzewski Daniela G Alferes Ivan Rychlík Elena Zakharova Patrice Max Ambuehl Fanny Lepeytre Clémentine Rabaté Guy Rostoker Sofia Marques Tijana Azasevac Dajana Katičić Marc ten Dam Thilo Krüger S. J. J. Logtenberg Lutz Fricke Adriaan L Zanen Jeroen J P Slebe Delphine Kemlin Jacqueline van de Wetering Jaromír Eiselt Lukáš Kielberger Hala S El-Wakil Samar Abd ElHafeez C Canal Carme Facundo Ana Ramos Alicja Dębska‐Ślizień Nicoline M H Veldhuizen Stylianos Panagoutsos Irina Matceac Ionuţ Nistor Monica Cordos J H M Groeneveld Marjolijn van Buren Fritz Diekmann Ana Cristina Fernandes Maria Ferreira Augusto César Soares dos Santos Carlos Arias-Cabrales Laura Llinàs-Mallol Anna Buxeda Carla Burballa Tàrrega Dolores Redondo‐Pachón María Dolores Arenas Jiménez Julia M. Hofstra Antonio Franco María Luisa Rodríguez-Ferrero Sagrario Balda Manzanos Gabriel de Arriba R. Haridian Sosa Barrios Karlijn Bartelet Erol Demir Daan A M J Hollander Angèle P. M. Kerckhoffs Stefan Büttner Aiko P. J. de Vries

Abstract Background. Patients on kidney replacement therapy comprise a vulnerable population and may be at increased risk of death from coronavirus disease 2019 (COVID-19). Currently, only limited data are available outcomes in this patient population. Methods. We set up the ERACODA (European Renal Association COVID-19 Database) database, which is specifically designed to prospectively collect detailed transplant dialysis patients with COVID-19. For analysis, were included who presented...

10.1093/ndt/gfaa261 article EN other-oa Nephrology Dialysis Transplantation 2020-09-25

Abstract Aims Early detection of individuals with Type 2 diabetes mellitus or hypertension at risk for micro‐ macroalbuminuria may facilitate prevention and treatment renal disease. We aimed to discover plasma urine metabolites that predict the development macroalbuminuria. Methods Patients ( n = 90) 150) were selected from community‐cohort ‘Prevention RE nal Vascular End‐stage Disease’ PREVEND ) Steno Diabetes Center this case–control study. Cases transitioned in albuminuria stage (from...

10.1111/dme.12447 article EN Diabetic Medicine 2014-03-25

<h3>Importance</h3> Autosomal dominant polycystic kidney disease (ADPKD) is characterized by progressive cyst formation in both kidneys and loss of renal function, eventually leading to a need for replacement therapy. There are limited therapeutic management options. <h3>Objective</h3> To examine the effect somatostatin analogue lanreotide on rate function patients with later-stage ADPKD. <h3>Design, Setting, Participants</h3> An open-label randomized clinical trial blinded end point...

10.1001/jama.2018.15870 article EN cc-by JAMA 2018-10-26

Chronic kidney disease (CKD) measures (estimated glomerular filtration rate [eGFR] and albuminuria) are frequently assessed in clinical practice improve the prediction of incident cardiovascular (CVD), yet most major guidelines do not have a standardized approach for incorporating these into CVD risk prediction. "CKD Patch" is validated method to calibrate predicted from established equations according CKD measures.Utilizing data 4,143,535 adults 35 datasets, we developed several Patches"...

10.1016/j.eclinm.2020.100552 article EN cc-by-nc-nd EClinicalMedicine 2020-10-01

Abstract Aims The 2021 European Society of Cardiology (ESC) guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney (CKD) as high very-high CVD risk status regardless other factors like age does not include estimated glomerular filtration rate (eGFR) albuminuria in its algorithms, systemic coronary estimation 2 (SCORE2) older persons (SCORE2-OP), to predict risk. We developed validated an ‘Add-on’ incorporate CKD measures into these using a...

10.1093/eurjpc/zwac176 article EN European Journal of Preventive Cardiology 2022-08-16

To assess the effects of sodium-glucose co-transporter-2 (SGLT2) inhibitor dapagliflozin on a pre-specified panel 13 urinary metabolites linked to mitochondrial metabolism in people with type 2 diabetes and elevated urine albumin levels.Urine plasma samples were used from double-blind, randomized, placebo-controlled crossover trial 31 diabetes, an albumin:creatinine ratio >100 mg/g, who stable dose angiotensin-converting enzyme or angiotensin receptor blocker. Dapagliflozin placebo treatment...

10.1111/dom.13823 article EN cc-by-nc-nd Diabetes Obesity and Metabolism 2019-07-02

We aimed to identify a novel panel of biomarkers predicting renal function decline in type 2 diabetes, using representing different disease pathways speculated contribute the progression diabetic nephropathy.A systematic data integration approach was used select pathways. Twenty-eight were measured 82 patients seen at an outpatient diabetes center The Netherlands. Median follow-up 4.0 years. compared cross-validated explained variation (R2) two models predict eGFR decline, one including only...

10.1371/journal.pone.0120995 article EN cc-by PLoS ONE 2015-05-14

OBJECTIVE Although patients with type 2 diabetes (T2D) nephropathy are at high risk for renal and cardiovascular complications, relevant biomarkers have been poorly identified. Because impairment may increase biomarker levels, this potentially confounds associations between levels risk. To investigate the predictive value of a in such setting, we examined baseline growth differentiation factor-15 (GDF-15), N-terminal prohormone B-type natriuretic peptide (NTproBNP), high-sensitivity troponin...

10.2337/dc16-2175 article EN Diabetes Care 2017-03-24

Abstract Aim To predict end‐stage renal disease (ESRD) in patients with type 2 diabetes by using machine‐learning models multiple baseline demographic and clinical characteristics. Materials methods In total, 11 789 nephropathy from three trials, RENAAL (n = 1513), IDNT 1715) ALTITUDE 8561), were used this study. Eighteen characteristics as predictors to train ESRD (doubling of serum creatinine and/or ESRD). We the area under receiver operator curve (AUC) assess prediction performance...

10.1111/dom.14178 article EN cc-by-nc Diabetes Obesity and Metabolism 2020-08-26

NEK1, the first mammalian ortholog of fungal protein kinase never-in-mitosis A (NIMA), is involved early in DNA damage sensing/repair pathway. defect repair NEK1-deficient cells suggested by persistence double strand breaks after low dose ionizing radiation (IR). also fail to activate checkpoint kinases CHK1 and CHK2, arrest properly at G1/S or G2/M-phase checkpoints damage. We show here that suffer major errors mitotic chromosome segregation cytokinesis, become aneuploid. These transform,...

10.1186/1476-4598-10-5 article EN cc-by Molecular Cancer 2011-01-01

OBJECTIVE Chronic kidney disease (CKD) in diabetes has a complex molecular and likely multifaceted pathophysiology. We aimed to validate panel of biomarkers identified using systems biology approach predict the individual decline estimated glomerular filtration rate (eGFR) large group patients with type 2 CKD at various stages. RESEARCH DESIGN AND METHODS used publicly available “omics” data develop process model representative parsimonious set nine biomarkers: chitinase 3-like protein 1,...

10.2337/dc16-2202 article EN Diabetes Care 2017-01-11

Micro and macroalbuminuria are strong risk factors for progression of nephropathy in patients with hypertension or type 2 diabetes. Early detection to micro may facilitate prevention treatment renal diseases. We aimed develop plasma proteomics classifiers predict the development diabetes.Patients (n = 125) diabetes 82) were selected this case-control study from Prevention REnal Vascular ENd-stage Disease cohort Steno Diabetes Center. Cases transitioned normo microalbuminuria,...

10.1097/hjh.0000000000000685 article EN Journal of Hypertension 2015-07-31

We assessed the effect of atrasentan therapy on a pre‐specified panel 13 urinary metabolites known to reflect mitochondrial function in patients with diabetic kidney disease. This post‐hoc analysis was performed using urine samples collected during RADAR study which randomized, double‐blind, placebo‐controlled trial that tested effects albuminuria reduction type 2 diabetes and nephropathy. At baseline, 4 metabolites, quantified by gas‐chromatography mass spectrometry, were below detectable...

10.1111/dom.12864 article EN Diabetes Obesity and Metabolism 2016-12-25

Individual patients show a large variability in albuminuria response to angiotensin receptor blockers (ARB). Identifying novel biomarkers that predict ARB may help tailor therapy. We aimed discover and validate serum metabolite classifier predicts ARBs with diabetes mellitus micro- or macroalbuminuria.Liquid chromatography-tandem mass spectrometry metabolomics was performed on samples. Data from type 2 microalbuminuria (n = 49) treated irbesartan 300 mg/day were used for discovery. LASSO...

10.1186/s12967-016-0960-3 article EN cc-by Journal of Translational Medicine 2016-07-04

Neks, mammalian orthologs of the fungal protein kinase never-in-mitosis A, have been implicated in pathogenesis polycystic kidney disease. Among them, Nek1 is primary inactivated kat2J mouse models PKD. We report expression pattern and characterize renal cysts that develop mice. detectable all murine tissues but its wild type heterozygous kidneys decrease as mature, especially tubular epithelial cells. In embryonic kidney, most prominent cells will become podocytes proximal tubules. Kidney...

10.1186/s12929-014-0063-5 article EN cc-by Journal of Biomedical Science 2014-07-16
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