Melanie Reijrink

Dr. Melanie Reijrink


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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1 November 2019 in Atherosclerosis
Verified
Journal Article
Closed access
MRMelanie Reijrink
Melanie Reijrink
SBStefanie A. de Boer
Stefanie A. de Boer
DSDaan S. Spoor
Daan S. Spoor
JLJoop D. Lefrandt
Joop D. Lefrandt
HHHiddo Heerspink
Hiddo Heerspink
DMDouwe J. Mulder
Douwe J. Mulder

5 August 2024 in Cardiovascular Research
Verified
Journal Article
Open access
PDF file
LFLian Feenstra
Lian Feenstra
MRMelanie Reijrink
Melanie Reijrink
APAndreas Pasch
Andreas Pasch
ESEdward R Smith
Edward R Smith
LVLotte M Visser
Lotte M Visser
JHJan-Luuk Hillebrands
Jan-Luuk Hillebrands
Calciprotein particles (CPPs) are circulating calcium and phosphate nanoparticles associated with development of vascular calcification (VC) in chronic kidney disease (CKD). Although recent studies have been focusing on associations of CPPs with presence of VC in CKD, insights in the underlying processes and mechanisms by which CPPs might aggravate VC and vascular dysfunction in vivo are currently lacking. Here, we assessed overall burden of abdominal VC in healthy kidney donors and CKD patients, and subsequently performed transcriptome profiling in vascular tissue obtained from these subjects, linking outcome to CPP counts and calcification propensity. Calcification scores were quantified in renal arteries, iliac arteries and abdominal aorta, using computed tomography (CT) scans of kidney donors and CKD patients. Vascular tissue was collected from kidney donors (renal artery) and CKD patients (iliac artery), after which bulk RNA sequencing and gene set enrichment analysis (GSEA) was performed on a subset of patients. Calcification propensity (crystallization time, T50) was measured using nephelometry, and CPP counts with microparticle flow cytometric analysis. Increased calcification scores (based on CT) were found in CKD patients compared to kidney donors. Transcriptome profiling revealed enrichment for processes related to endothelial activation, inflammation, extracellular matrix (ECM) remodelling and ossification in CKD vascular biopsies compared to kidney donors. Calcification propensity was increased in CKD, as well as CPP counts, of which the latter significantly associated with markers of vascular remodelling. Our findings reveal that CKD is characterized by systemic VC with increased calcification propensity and CPP counts. Transcriptome profiling showed altered vascular gene expression with enrichment for endothelial activation, inflammation, ECM remodelling and ossification. Moreover, we demonstrate for the first time that vascular remodelling processes are associated with increased circulating CPP counts. Interventions targeting CPPs are promising avenues for alleviating vascular remodelling and VC in CKD.

12 March 2020 in Diabetes, Obesity and Metabolism
Verified
Journal Article
Open access
PDF file
SBStefanie A. de Boer
Stefanie A. de Boer
MRMelanie Reijrink
Melanie Reijrink
WAWayel H. Abdulahad
Wayel H. Abdulahad
EHElisa S. Hoekstra
Elisa S. Hoekstra
RSRiemer H. J. A. Slart
Riemer H. J. A. Slart
DMDouwe Johannes Mulder
Douwe Johannes Mulder
Angiogenic T (Tang) cells are mediators of vascular repair, and are characterized by surface expression of CXCR4. This receptor for stromal cell‐derived factor‐1α (SDF‐1α) is cleaved by dipeptidyl peptidase‐4 (DPP‐4). Tang cell levels were investigated in people with type 2 diabetes mellitus (T2DM) compared with matched healthy controls and after treatment with the DPP‐4 inhibitor Linagliptin. People with T2DM were randomized to 5 mg/day Linagliptin (n = 20) or placebo (n = 21) for 26 weeks. Tang cell frequency was identified in peripheral blood mononuclear cells (CD3 + CD31 + CXCR4 + ) and levels of endothelial progenitor cells (EPCs) (CD34 + CD133 + KDR + ) were also assessed in whole blood. Circulating Tang cell levels were significantly lower in people with T2DM compared with the healthy control group. SDF‐1α levels increased significantly in Linagliptin‐treated people with T2DM compared to placebo, and a trend was observed in change of Tang cell levels, while EPC count did not change. In conclusion, circulating Tang cell levels were considerably lower in people with T2DM, while a trend was observed in recruitment of Tang cells after 26 weeks of treatment with Linagliptin. These data suggest that DPP‐4 inhibitors may potentially exert beneficial effects on bone marrow‐driven vascular repair.

4 September 2020 in Molecular Imaging and Biology
Verified
Journal Article
Open access
PDF file
MRMelanie Reijrink
Melanie Reijrink
SBStefanie A. de Boer
Stefanie A. de Boer
IAInes F. Antunes
Ines F. Antunes
DSDaan S. Spoor
Daan S. Spoor
HHHiddo J. L. Heerspink
Hiddo J. L. Heerspink
DMDouwe J. Mulder
Douwe J. Mulder
Purpose: 2-deoxy-2-[18F]fluoro-d-glucose ([18F]FDG) uptake is a marker of metabolic activity and is therefore used to measure the inflammatory state of several tissues. This radionuclide marker is transported through the cell membrane via glucose transport proteins (GLUTs). The aim of this study is to investigate whether insulin resistance (IR) or inflammation plays a role in [18F]FDG uptake in adipose tissue (AT). Procedures: This study consisted of an in vivo clinical part and an ex vivo mechanistic part. In the clinical part, [18F]FDG uptake in abdominal visceral AT (VAT) and subcutaneous AT (SAT) was determined using PET/CT imaging in 44 patients with early type 2 diabetes mellitus (T2DM) (age 63 [54–66] years, HbA1c [6.3 ± 0.4 %], HOMA-IR 5.1[3.1–8.5]). Plasma levels were measured with ELISA. In the mechanistic part, AT biopsies obtained from 8 patients were ex vivo incubated with [18F]FDG followed by autoradiography. Next, a qRT-PCR analysis was performed to determine GLUT and cytokine mRNA expression levels. Immunohistochemistry was performed to determine CD68+ macrophage infiltration and GLUT4 protein expression in AT. Results: In vivo VAT [18F]FDG uptake in patients with T2DM was inversely correlated with HOMA-IR (r = − 0.32, p = 0.034), and positively related to adiponectin plasma levels (r = 0.43, p = 0.003). Ex vivo [18F]FDG uptake in VAT was not related to CD68+ macrophage infiltration, and IL-1ß and IL-6 mRNA expression levels. Ex vivo VAT [18F]FDG uptake was positively related to GLUT4 (r = 0.83, p = 0.042), inversely to GLUT3 (r = − 0.83, p = 0.042) and not related to GLUT1 mRNA expression levels. Conclusions: In vivo [18F]FDG uptake in VAT from patients with T2DM is positively correlated with adiponectin levels and inversely with IR. Ex vivo [18F]FDG uptake in AT is associated with GLUT4 expression but not with pro-inflammatory markers. The effect of IR should be taken into account when interpreting data of [18F]FDG uptake as a marker for AT inflammation.

26 October 2021 in Diagnostics
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Journal Article
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Gijs van PraaghGijs van Praagh
Gijs van Praagh
PNPieter H. Nienhuis
Pieter H. Nienhuis
DJDaniel Matthijs De Jong
Daniel Matthijs De Jong
MRMelanie Reijrink
Melanie Reijrink
KGKornelis S. M. van der Geest
Kornelis S. M. van der Geest
Riemer H.J.A. SlartRiemer H.J.A. Slart
Riemer H.J.A. Slart
The aim of this study is to investigate the influence of sex, age, fat mass, fasting blood glucose level (FBGL), and estimated glomerular filtration rate (eGFR) on blood pool activity in patients with large vessel vasculitis (LVV). Blood pool activity was measured in the superior caval vein using mean, maximum, and peak standardized uptake values corrected for body weight (SUVs) and lean body mass (SULs) in 41 fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) scans of LVV patients. Sex influence on the blood pool activity was assessed with t-tests, while linear correlation analyses were used for age, fat mass, FBGL, and eGFR. Significantly higher SUVs were found in women compared with men, whereas SULs were similar between sexes. In addition, higher fat mass was associated with increased SUVs (r = 0.56 to 0.65; all p < 0.001) in the blood pool, but no correlations were found between SULs and fat mass (r = −0.25 to −0.15; all p > 0.05). Lower eGFR was associated with a higher FDG blood pool activity for all uptake values. In FDG-PET/CT studies with LVV patients, we recommend using SUL over SUV, while caution is advised in interpreting SUV and SUL measures when patients have impaired kidney function.

29 September 2021 in Antioxidants
Verified
Journal Article
Open access
PDF file
MRMelanie Reijrink
Melanie Reijrink
SBStefanie A. De Boer
Stefanie A. De Boer
ARAnniek M. Van Roon
Anniek M. Van Roon
Riemer H.J.A. SlartRiemer H.J.A. Slart
Riemer H.J.A. Slart
BFBernadette O. Fernandez
Bernadette O. Fernandez
DMDouwe Johannes Mulder
Douwe Johannes Mulder
The depletion of nitrate and nitrite, stable nitric oxide (NO) end-products, promotes adipose tissue dysfunction and insulin resistance (IR). Dipeptidyl peptidase-4 (DPP-4) inhibitors have the potentially beneficial side effect of increasing NO availability. In this study, nitrate and nitrite levels and the effects of DPP-4 inhibitor linagliptin were investigated in relation to metabolic syndrome (MetS) markers. Treatment-naive patients with early type 2 diabetes mellitus (T2DM) (n = 40, median age 63 IQR (55–67) years, 63% male, mean HbA1c 45 ± 4.4 mmol/mol) were randomized (1:1) to linagliptin (5 mg/day) or placebo. MetS-related markers (body mass index (BMI), triglycerides, HOMA-IR, gamma-glutamyltransferase (GGT), C-reactive protein (CRP), and adiponectin), plasma levels of nitrate, nitrite, total free thiols (TFT) and vegetable intake were estimated at baseline and after 4 and 26 weeks of treatment. Plasma nitrate, but not nitrite, correlated positively with vegetable intake (r = 0.38, p = 0.018) and was inversely associated with HOMA-IR (r = −0.44, p = 0.006), BMI (r = −0.35, p = 0.028), GGT (r = −0.37, p = 0.019) and CRP (r = −0.34, p = 0.034). The relationship between nitrate and HOMA-IR remained significant after adjusting for BMI, CRP, vegetable intake and GGT. With stable vegetable intake, nitrate and nitrite, TFT, adipokines and CRP did not change after 26 weeks of linagliptin treatment. While plasma nitrate is inversely associated with MetS, linagliptin treatment does not significantly influence nitrate and nitrite concentrations, oxidative stress, adipose tissue function and systemic inflammation.