Kimberly J. Nahon
Leiden University Medical Center
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Featured researches published by Kimberly J. Nahon.
Diabetes | 2015
Andrea D. van Dam; Kimberly J. Nahon; Sander Kooijman; Susan M. van den Berg; Anish Kanhai; Takuya Kikuchi; Mattijs M. Heemskerk; Vanessa van Harmelen; Marc Lombès; Anita M. van den Hoek; Menno P.J. de Winther; Esther Lutgens; Bruno Guigas; Patrick C. N. Rensen; Mariëtte R. Boon
Salsalate improves glucose intolerance and dyslipidemia in type 2 diabetes patients, but the mechanism is still unknown. The aim of the current study was to unravel the molecular mechanisms involved in these beneficial metabolic effects of salsalate by treating mice with salsalate during and after development of high-fat diet–induced obesity. We found that salsalate attenuated and reversed high-fat diet–induced weight gain, in particular fat mass accumulation, improved glucose tolerance, and lowered plasma triglyceride levels. Mechanistically, salsalate selectively promoted the uptake of fatty acids from glycerol tri[3H]oleate-labeled lipoprotein-like emulsion particles by brown adipose tissue (BAT), decreased the intracellular lipid content in BAT, and increased rectal temperature, all pointing to more active BAT. The treatment of differentiated T37i brown adipocytes with salsalate increased uncoupled respiration. Moreover, salsalate upregulated Ucp1 expression and enhanced glycerol release, a dual effect that was abolished by the inhibition of cAMP-dependent protein kinase (PKA). In conclusion, salsalate activates BAT, presumably by directly activating brown adipocytes via the PKA pathway, suggesting a novel mechanism that may explain its beneficial metabolic effects in type 2 diabetes patients.
Scientific Reports | 2017
Vasudev Kantae; Kimberly J. Nahon; Maaike E. Straat; Leontine E.H. Bakker; Amy C. Harms; Mario van der Stelt; Thomas Hankemeier; Ingrid M. Jazet; Mariëtte R. Boon; Patrick C. N. Rensen
South Asians have a higher risk to develop obesity and related disorders compared to white Caucasians. This is likely in part due to their lower resting energy expenditure (REE) as related with less energy-combusting brown adipose tissue (BAT). Since overactivation of the endocannabinoid system is associated with obesity and low BAT activity, we hypothesized that South Asians have a higher endocannabinoid tone. Healthy lean white Caucasian (n = 10) and South Asian (n = 10) men were cold-exposed to activate BAT. Before and after cooling, REE was assessed and plasma was collected for analysis of endocannabinoids and lipids. At thermoneutrality, South Asians had higher plasma levels of 2-arachidonoylglycerol (2-AG; 11.36 vs 8.19 pmol/mL, p < 0.05), N-arachidonylethanolamine (AEA; 1.04 vs 0.89 pmol/mL, p = 0.05) and arachidonic acid (AA; 23.24 vs 18.22 nmol/mL, p < 0.001). After pooling of both ethnicities, plasma 2-AG but not AEA positively correlated with triglycerides (R2 = 0.32, p < 0.05) and body fat percentage (R2 = 0.18, p < 0.05). Interestingly, AA negative correlated with REE (R2 = 0.46, p < 0.001) and positively with body fat percentage (R2 = 0.33, p < 0.01). Cooling increased endocannabinoids. In conclusion, South Asian compared to white Caucasian men have higher endocannabinoid tone. This suggests that endocannabinoids may, at least in part, underlie the disadvantageous metabolic phenotype of South Asians later in life.
Scientific Reports | 2018
Borja Martinez-Tellez; Kimberly J. Nahon; Guillermo Sanchez-Delgado; Gustavo Abreu-Vieira; J.M. Llamas-Elvira; Floris H. P. van Velden; Lenka M. Pereira Arias-Bouda; Patrick C. N. Rensen; Mariëtte R. Boon; Jonatan R. Ruiz
Human brown adipose tissue (BAT) is commonly assessed by cold-induced 18F-fluorodeoxyglucose (FDG) PET-CT using several quantification criteria. Uniform criteria for data analysis became available recently (BARCIST 1.0). We compared BAT volume and activity following BARCIST 1.0 criteria against the most commonly used criteria [Hounsfield Units (HU):-250, -50, standardized uptake value (SUV):2.0; HU: Not applied, SUV:2.0 and HU:-180, -10, SUV:1.5] in a prospective study using three independent cohorts of men including young lean adults, young overweight/obese adults and middle-aged overweight/obese adults. BAT volume was the most variable outcome between criteria. While BAT volume calculated using the HU: NA; SUV: 2.0 criteria was up to 207% higher than the BAT volume calculated based on BARCIST 1.0 criteria, it was up to 57% lower using the HU: -250, -50; SUV: 2.0 criteria compared to the BARCIST 1.0. Similarly, BAT activity (expressed as SUVmean) also differed between different thresholds mainly because SUVmean depends on BAT volume. SUVpeak was the most consistent BAT outcome across the four study criteria. Of note, we replicated these findings in three independent cohorts. In conclusion, BAT volume and activity as determined by 18F-FDG-PET/CT highly depend on the quantification criteria used. Future human BAT studies should conduct sensitivity analysis with different thresholds in order to understand whether results are driven by the selected HU and/or SUV thresholds. The design of the present study precludes providing any conclusive threshold, but before more definitive thresholds for HU and SUV are available, we support the use of BARCIST 1.0 criteria to facilitate interpretation of BAT characteristics between research groups.
Journal of Thermal Biology | 2017
Kimberly J. Nahon; Mariëtte R. Boon; Fleur Doornink; Ingrid M. Jazet; Patrick C. N. Rensen; Gustavo Abreu-Vieira
It is colloquially stated that body size plays a role in the human response to cold, but the magnitude and details of this interaction are unclear. To explore the inherent influence of body size on cold-exposed metabolism, we investigated the relation between body composition and resting metabolic rate in humans at thermoneutrality and during cooling within the nonshivering thermogenesis range. Body composition and resting energy expenditure were measured in 20 lean and 20 overweight men at thermoneutrality and during individualized cold exposure. Metabolic rates as a function of ambient temperature were investigated considering the variability in body mass and composition. We observed an inverse relationship between body size and the lower critical temperature (LCT), i.e. the threshold where thermoneutrality ends and cold activates thermogenesis. LCT was higher in lean than overweight subjects (22.1 ± 0.6 vs 19.5 ± 0.5°C, p < 0.001). Below LCT, minimum conductance was identical between lean and overweight (100 ± 4 vs 97 ± 3kcal/°C/day respectively, p = 0.45). Overweight individuals had higher basal metabolic rate (BMR) explained mostly by the higher lean mass, and lower cold-induced thermogenesis (CIT) per degree of cold exposure. Below thermoneutrality, energy expenditure did not scale to lean body mass. Overweight subjects had lower heat loss per body surface area (44.7 ± 1.3 vs 54.7 ± 2.3kcal/°C/m2/day, p < 0.001). We conclude that larger body sizes possessed reduced LCT as explained by higher BMR related to more lean mass rather than a change in whole-body conductance. Thus, larger individuals with higher lean mass need to be exposed to colder temperatures to activate CIT, not because of increased insulation, but because of a higher basal heat generation. Our study suggests that the distinct effects of body size and composition on energy expenditure should be taken in account when exploring the metabolism of humans exposed to cold.
Obesity | 2018
Kimberly J. Nahon; Vasudev Kantae; Roy den Haan; Mark J. W. Hanssen; Amy C. Harms; Mario van der Stelt; Thomas Hankemeier; Ingrid M. Jazet; Wouter D. van Marken Lichtenbelt; Patrick C. N. Rensen; Mariëtte R. Boon
The study aimed to investigate whether markers of endocannabinoid signaling differed between men with overweight of South Asian and white Caucasian descent.
Journal of Clinical Lipidology | 2017
Geerte Hoeke; Kimberly J. Nahon; Leontine E.H. Bakker; Sabine S.C. Norkauer; Donna Lee M. Dinnes; Maaike Kockx; Laeticia Lichtenstein; Diana Drettwan; Anne Reifel-Miller; Tamer Coskun; Philipp Pagel; Fred P.H.T.M. Romijn; Christa M. Cobbaert; Ingrid M. Jazet; Laurent O. Martinez; Leonard Kritharides; Jimmy F.P. Berbée; Mariëtte R. Boon; Patrick C. N. Rensen
Archives of Biochemistry and Biophysics | 2016
Kimberly J. Nahon; Mariëtte R. Boon; Leontine E.H. Bakker; Cornelia Prehn; Jerzy Adamski; Ingrid M. Jazet; Ko Willems van Dijk; Patrick C. N. Rensen; Dennis O. Mook-Kanamori
Journal of Clinical Lipidology | 2017
Kimberly J. Nahon; Geerte Hoeke; Leontine E.H. Bakker; Ingrid M. Jazet; Jimmy F.P. Berbée; Sander Kersten; Patrick C. N. Rensen; Mariëtte R. Boon
Atherosclerosis | 2017
Geerte Hoeke; Kimberly J. Nahon; Alexander Bartelt; Donna Lee M. Dinnes; Diana Drettwan; Philipp Pagel; Ingrid M. Jazet; Maaike Kockx; Leonard Kritharides; Joerg Heeren; Jimmy F.P. Berbée; Mariëtte R. Boon; Patrick C. N. Rensen
Diabetologia | 2018
Kimberly J. Nahon; Fleur Doornink; Maaike E. Straat; Kani Botani; Borja Martínez-Téllez; Gustavo Abreu-Vieira; Jan B. van Klinken; Gardi J. Voortman; Edith C. H. Friesema; Jonatan R. Ruiz; Floris H. P. van Velden; Lioe-Fee de Geus-Oei; Frits Smit; Lenka M. Pereira Arias-Bouda; Jimmy F.P. Berbée; Ingrid M. Jazet; Mariëtte R. Boon; Patrick C. N. Rensen