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Dive into the research topics where Peter Spégel is active.

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Featured researches published by Peter Spégel.


Nature Genetics | 2009

Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion

Valeriya Lyssenko; Cecilia Nagorny; Michael R. Erdos; Nils Wierup; Anna Maria Jönsson; Peter Spégel; Marco Bugliani; Richa Saxena; Malin Fex; N. Pulizzi; Bo Isomaa; Tiinamaija Tuomi; Peter Nilsson; Johanna Kuusisto; Jaakko Tuomilehto; Michael Boehnke; David Altshuler; F. Sundler; Johan G. Eriksson; Anne U. Jackson; Markku Laakso; Piero Marchetti; Richard M. Watanabe; Hindrik Mulder; Leif Groop

Genome-wide association studies have shown that variation in MTNR1B (melatonin receptor 1B) is associated with insulin and glucose concentrations. Here we show that the risk genotype of this SNP predicts future type 2 diabetes (T2D) in two large prospective studies. Specifically, the risk genotype was associated with impairment of early insulin response to both oral and intravenous glucose and with faster deterioration of insulin secretion over time. We also show that the MTNR1B mRNA is expressed in human islets, and immunocytochemistry confirms that it is primarily localized in β cells in islets. Nondiabetic individuals carrying the risk allele and individuals with T2D showed increased expression of the receptor in islets. Insulin release from clonal β cells in response to glucose was inhibited in the presence of melatonin. These data suggest that the circulating hormone melatonin, which is predominantly released from the pineal gland in the brain, is involved in the pathogenesis of T2D. Given the increased expression of MTNR1B in individuals at risk of T2D, the pathogenic effects are likely exerted via a direct inhibitory effect on β cells. In view of these results, blocking the melatonin ligand-receptor system could be a therapeutic avenue in T2D.


Nature Genetics | 2009

Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion RID A-4476-2009

Lyssenko; Clf Nagorny; Erdos; Nils Wierup; Anna Maria Jönsson; Peter Spégel; Marco Bugliani; Richa Saxena; Malin Fex; N. Pulizzi; Bo Isomaa; Tiinamaija Tuomi; Peter Nilsson; Johanna Kuusisto; Jaakko Tuomilehto; Michael Boehnke; David Altshuler; F. Sundler; Jg Eriksson; Au Jackson; Markku Laakso; Piero Marchetti; Rm Watanabe; Hindrik Mulder; Leif Groop

Genome-wide association studies have shown that variation in MTNR1B (melatonin receptor 1B) is associated with insulin and glucose concentrations. Here we show that the risk genotype of this SNP predicts future type 2 diabetes (T2D) in two large prospective studies. Specifically, the risk genotype was associated with impairment of early insulin response to both oral and intravenous glucose and with faster deterioration of insulin secretion over time. We also show that the MTNR1B mRNA is expressed in human islets, and immunocytochemistry confirms that it is primarily localized in β cells in islets. Nondiabetic individuals carrying the risk allele and individuals with T2D showed increased expression of the receptor in islets. Insulin release from clonal β cells in response to glucose was inhibited in the presence of melatonin. These data suggest that the circulating hormone melatonin, which is predominantly released from the pineal gland in the brain, is involved in the pathogenesis of T2D. Given the increased expression of MTNR1B in individuals at risk of T2D, the pathogenic effects are likely exerted via a direct inhibitory effect on β cells. In view of these results, blocking the melatonin ligand-receptor system could be a therapeutic avenue in T2D.


Analyst | 2000

Molecularly imprinted microparticles for capillary electrochromatographic enantiomer separation of propranolol.

Leif Schweitz; Peter Spégel; Staffan Nilsson

Molecularly imprinted microparticles imprinted against (S)-propranolol were synthesised and studied for use in capillary electrochromatographic separation of propranolol enantiomers. The imprinted microparticles were in the size range of 0.2-0.5 micron as determined by scanning electron microscopy. The microparticles were suspended, in high concentration, in the electrolyte and used to perform enantiomer separation by a partial filling technique.


Electrophoresis | 2001

Molecularly imprinted microparticles for capillary electrochromatography: studies on microparticle synthesis and electrolyte composition.

Peter Spégel; Leif Schweitz; Staffan Nilsson

The use of molecularly imprinted polymer (MIP) microparticles in a partial filling application of capillary electrochromatography (CEC) has previously been shown successful for the enantiomer separation of propranolol. In this investigation, the influence of some important parameters in the preparation protocol, i.e., template to monomer ratio, type of cross‐linker and functional monomers, and the effect of separation condition, i.e., organic modifier content, pH and the temperature of the column, on the electrochromatographic behavior of the MIP microparticles were studied. It was found that ethyleneglycol dimethacrylate (EDMA), having two reactive double bonds, was superior in terms CEC performance to trimethylpropane trimethacrylate (TRIM) and pentaerythritol tetraacrylate (PETEA) having three and four double bonds, respectively. The use of weak functional monomers, i.e., monomers lacking a strong interaction with the template, was shown to increase the separation efficiency. It was found that the template to functional monomer ratio had a pronounced influence on the MIP microparticle partial filling CEC performance as well as the size of the obtained microparticles. The use of a partial filling technique realizes the use of a new MIP phase in every new separation as well as the ability of altering the selectivity of the separation column and length of the MIP without the need for column switching.


The Lancet Diabetes & Endocrinology | 2018

Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables

Emma Ahlqvist; Petter Storm; Annemari Käräjämäki; Mats Martinell; Mozhgan Dorkhan; Annelie Carlsson; Petter Vikman; Rashmi B. Prasad; Dina Mansour Aly; Peter Almgren; Ylva Wessman; Nael Shaat; Peter Spégel; Hindrik Mulder; Eero Lindholm; Olle Melander; Ola Hansson; Ulf Malmqvist; Åke Lernmark; Kaj Lahti; Tom Forsén; Tiinamaija Tuomi; Anders H. Rosengren; Leif Groop

BACKGROUND Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but type 2 diabetes in particular is highly heterogeneous. A refined classification could provide a powerful tool to individualise treatment regimens and identify individuals with increased risk of complications at diagnosis. METHODS We did data-driven cluster analysis (k-means and hierarchical clustering) in patients with newly diagnosed diabetes (n=8980) from the Swedish All New Diabetics in Scania cohort. Clusters were based on six variables (glutamate decarboxylase antibodies, age at diagnosis, BMI, HbA1c, and homoeostatic model assessment 2 estimates of β-cell function and insulin resistance), and were related to prospective data from patient records on development of complications and prescription of medication. Replication was done in three independent cohorts: the Scania Diabetes Registry (n=1466), All New Diabetics in Uppsala (n=844), and Diabetes Registry Vaasa (n=3485). Cox regression and logistic regression were used to compare time to medication, time to reaching the treatment goal, and risk of diabetic complications and genetic associations. FINDINGS We identified five replicable clusters of patients with diabetes, which had significantly different patient characteristics and risk of diabetic complications. In particular, individuals in cluster 3 (most resistant to insulin) had significantly higher risk of diabetic kidney disease than individuals in clusters 4 and 5, but had been prescribed similar diabetes treatment. Cluster 2 (insulin deficient) had the highest risk of retinopathy. In support of the clustering, genetic associations in the clusters differed from those seen in traditional type 2 diabetes. INTERPRETATION We stratified patients into five subgroups with differing disease progression and risk of diabetic complications. This new substratification might eventually help to tailor and target early treatment to patients who would benefit most, thereby representing a first step towards precision medicine in diabetes. FUNDING Swedish Research Council, European Research Council, Vinnova, Academy of Finland, Novo Nordisk Foundation, Scania University Hospital, Sigrid Juselius Foundation, Innovative Medicines Initiative 2 Joint Undertaking, Vasa Hospital district, Jakobstadsnejden Heart Foundation, Folkhälsan Research Foundation, Ollqvist Foundation, and Swedish Foundation for Strategic Research.


Analytical Biochemistry | 2010

Development and optimization of a metabolomic method for analysis of adherent cell cultures

Anders P.H. Danielsson; Thomas Moritz; Hindrik Mulder; Peter Spégel

In this investigation, a gas chromatography/mass spectrometry (GC/MS)-based metabolomic protocol for adherent cell cultures was developed using statistical design of experiments. Cell disruption, metabolite extraction, and the GC/MS settings were optimized aiming at a gentle, unbiased, sensitive, and high-throughput metabolomic protocol. Due to the heterogeneity of the metabolome and the inherent selectivity of all analytical techniques, development of unbiased protocols is highly complex. Changing one parameter of the protocol may change the response of many groups of metabolites. In this investigation, statistical design of experiments and multivariate analysis also allowed such interaction effects to be taken into account. The protocol was validated with respect to linear range, precision, and limit of detection in a clonal rat insulinoma cell line (INS-1 832/13). The protocol allowed high-throughput profiling of metabolites covering the major metabolic pathways. The majority of metabolites displayed a linear range from a single well in a 96-well plate up to a 10 cm culture dish. The method allowed a total of 47 analyses to be performed in 24h.


Ultrasonics | 2003

Ultrasonic-trap-enhanced selectivity in capillary electrophoresis.

Martin Wiklund; Peter Spégel; Staffan Nilsson; Hans M. Hertz

We combine ultrasonic trapping and capillary electrophoresis (CE) with the goal to detect ultra-low concentrations of proteins via size-selective separation and enrichment of antibody-coated latex spheres. An 8.5 MHz standing ultrasonic wave is longitudinally coupled into the sub-100- micro m diam capillary of the CE system. Competition between acoustic and viscous forces result in in-flow separation of micro m-diam spheres according to their size. Experiments separating 2.8- and 2.1- micro m-diam fluorescent latex particles, which model a protein-specific immunocomplex/free particle mixture, indicate a potential improvement of the concentration limit of detection of 10(4) compared to current CE systems. Theoretical calculations show room for further improvement.


Biochemical Journal | 2013

Time-resolved metabolomics analysis of β-cells implicates the pentose phosphate pathway in the control of insulin release

Peter Spégel; Vladimir V. Sharoyko; Isabel Goehring; Anders P.H. Danielsson; Siri Malmgren; Cecilia Nagorny; Lotta E. Andersson; Thomas Koeck; Geoffrey W. G. Sharp; Susanne G. Straub; Claes B. Wollheim; Hindrik Mulder

Insulin secretion is coupled with changes in β-cell metabolism. To define this process, 195 putative metabolites, mitochondrial respiration, NADP+, NADPH and insulin secretion were measured within 15 min of stimulation of clonal INS-1 832/13 β-cells with glucose. Rapid responses in the major metabolic pathways of glucose occurred, involving several previously suggested metabolic coupling factors. The complexity of metabolite changes observed disagreed with the concept of one single metabolite controlling insulin secretion. The complex alterations in metabolite levels suggest that a coupling signal should reflect large parts of the β-cell metabolic response. This was fulfilled by the NADPH/NADP+ ratio, which was elevated (8-fold; P<0.01) at 6 min after glucose stimulation. The NADPH/NADP+ ratio paralleled an increase in ribose 5-phosphate (>2.5-fold; P<0.001). Inhibition of the pentose phosphate pathway by trans-dehydroepiandrosterone (DHEA) suppressed ribose 5-phosphate levels and production of reduced glutathione, as well as insulin secretion in INS-1 832/13 β-cells and rat islets without affecting ATP production. Metabolite profiling of rat islets confirmed the glucose-induced rise in ribose 5-phosphate, which was prevented by DHEA. These findings implicate the pentose phosphate pathway, and support a role for NADPH and glutathione, in β-cell stimulus-secretion coupling.


Science Translational Medicine | 2014

Genotype-based treatment of type 2 diabetes with an α2A-adrenergic receptor antagonist

Yunzhao Tang; Annika S. Axelsson; Peter Spégel; Lotta E. Andersson; Hindrik Mulder; Leif Groop; Erik Renström; Anders H. Rosengren

The α2A-adrenergic receptor antagonist yohimbine improves insulin secretion in type 2 diabetics carrying the ADRA2A risk variant. Personalized Diabetes Therapy The sequencing of the human genome has been heralded as the advent of personalized medicine; however, translating an individual’s genetic variants to tailored therapy for a specific disease is a long road. Now, Tang et al. report that yohimbine, an antagonist for the α2A-adrenergic receptor, can improve insulin secretion in type 2 diabetics who carry a genetic variant in the encoding gene, ADRA2A. Type 2 diabetics with this variant overexpress the α2A-adrenergic receptor and have impaired insulin secretion. In a randomized, placebo-controlled study, yohimbine increased insulin secretion in type 2 diabetics with the risk variant to levels comparable to those without the risk variant. These results suggest that risk variant analysis can lead to individualized therapies that target patient-specific pathophysiology. The feasibility of exploiting genomic information for individualized treatment of polygenic diseases remains uncertain. A genetic variant in ADRA2A, which encodes the α2A-adrenergic receptor (α2AAR), was recently associated with type 2 diabetes. This variant causes receptor overexpression and impaired insulin secretion; thus, we hypothesized that blocking α2AAR pharmacologically could improve insulin secretion in patients with the risk genotype. A total of 50 type 2 diabetes patients were recruited on the basis of ADRA2A genotype for a randomized placebo-controlled intervention study with the α2AAR antagonist yohimbine. The patients received 0, 10, or 20 mg of yohimbine at three separate visits. The primary endpoint was insulin secretion at 30 min (Ins30) during an oral glucose tolerance test (OGTT). Patients with the risk variant had 25% lower Ins30 than those without risk genotype. After administration of 20 mg of yohimbine, Ins30 was enhanced by 29% in the risk group, making secretion similar to patients carrying the low-risk allele. The corrected insulin response and disposition index in individuals with the high-risk (but not low-risk) allele were improved by 59 ± 18% and 43 ± 14%, respectively. The beneficial effect of yohimbine was not a consequence of improved insulin sensitivity. In summary, the data show that the insulin secretion defect in patients carrying the ADRA2A risk genotype can be corrected by α2AAR antagonism. The findings show that knowledge of genetic risk variants can be used to guide therapeutic interventions that directly target the underlying pathophysiology and demonstrate the potential of individualized genotype-specific treatment of type 2 diabetes.


Diabetes | 2014

Gastric bypass improves ss-cell function and increases β-cell mass in a porcine model.

Andreas Lindqvist; Peter Spégel; Mikael Ekelund; Eliana Garcia Vaz; Stefan Pierzynowski; Maria F. Gomez; Hindrik Mulder; Jan Hedenbro; Leif Groop; Nils Wierup

The most frequently used and effective treatment for morbid obesity is Roux-en-Y gastric bypass surgery (RYGB), which results in rapid remission of type 2 diabetes in most cases. To what extent this is accounted for by weight loss or other factors remains elusive. To gain insight into these mechanisms, we investigated the effects of RYGB on β-cell function and β-cell mass in the pig, a species highly reminiscent of the human. RYGB was performed using linear staplers during open surgery. Sham-operated pigs were used as controls. Both groups were fed a low-calorie diet for 3 weeks after surgery. Intravenous glucose tolerance tests were performed 2 weeks after surgery. Body weight in RYGB pigs and sham-operated, pair-fed control pigs developed similarly. RYGB pigs displayed improved glycemic control, which was attributed to increases in β-cell mass, islet number, and number of extraislet β-cells. Pancreatic expression of insulin and glucagon was elevated, and cells expressing the glucagon-like peptide 1 receptor were more abundant in RYGB pigs. Our data from a pig model of RYGB emphasize the key role of improved β-cell function and β-cell mass to explain the improved glucose tolerance after RYGB as food intake and body weight remained identical.

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