Correlation of plasma metabolites with glucose and lipid fluxes in human insulin resistance

Objective: Insulin resistance develops prior to the onset of overt type 2 diabetes, making its early detection vital. Direct accurate evaluation is currently only possible with complex examinations like the stable isotope-based hyperinsulinemic euglycemic clamp (HIEC). Metabolomic profiling enables the detection of thousands of plasma metabolites, providing a tool to identify novel biomarkers in human obesity. Design: Liquid chromatography mass spectrometry–based untargeted plasma metabolomics was applied in 60 participants with obesity with a large range of peripheral insulin sensitivity as determined via a two-step HIEC with stable isotopes [6,6-2H2]glucose and [1,1,2,3,3-2H5]glycerol. This additionally enabled measuring insulin-regulated lipolysis, which combined with metabolomics, to the knowledge of this research group, has not been reported on before. Results: Several plasma metabolites were identified that significantly correlated with glucose and lipid fluxes, led by plasma (gamma-glutamyl)citrulline, followed by betaine, beta-cryptoxanthin, fructosyllysine, octanylcarnitine, sphingomyelin (d18:0/18:0, d19:0/17:0) and thyroxine. Subsequent machine learning analysis showed that a panel of these metabolites derived from a number of metabolic pathways may be used to predict insulin resistance, dominated by non-essential amino acid citrulline and its metabolite gamma-glutamylcitrulline. Conclusion: This approach revealed a number of plasma metabolites that correlated reasonably well with glycemic and lipolytic flux parameters, measured using gold standard techniques. These metabolites may be used to predict the rate of glucose disposal in humans with obesity to a similar extend as HOMA, thus providing potential novel biomarkers for insulin resistance

Improvement of Insulin Sensitivity after Lean Donor Feces in Metabolic Syndrome Is Driven by Baseline Intestinal Microbiota Composition

The intestinal microbiota has been implicated in insulin resistance, although evidence regarding causality in humans is scarce. We therefore studied the effect of lean donor (allogenic) versus own (autologous) fecal microbiota transplantation (FMT) to male recipients with the metabolic syndrome. Whereas we did not observe metabolic changes at 18 weeks after FMT, insulin sensitivity at 6 weeks after allogenic FMT was significantly improved, accompanied by altered microbiota composition. We also observed changes in plasma metabolites such as gamma-aminobutyric acid and show that metabolic response upon allogenic FMT (defined as improved insulin sensitivity 6 weeks after FMT) is dependent on decreased fecal microbial diversity at baseline. In conclusion, the beneficial effects of lean donor FMT on glucose metabolism are associated with changes in intestinal microbiota and plasma metabolites and can be predicted based on baseline fecal microbiota composition.Peer reviewe

Infusion of donor feces affects the gut–brain axis in humans with metabolic syndrome

Objective Increasing evidence indicates that intestinal microbiota play a role in diverse metabolic processes via intestinal butyrate production. Human bariatric surgery data suggest that the gut-brain axis is also involved in this process, but the underlying mechanisms remain unknown. Methods We compared the effect of fecal microbiota transfer (FMT) from post-Roux-en-Y gastric bypass (RYGB) donors vs oral butyrate supplementation on (123I-FP-CIT-determined) brain dopamine transporter (DAT) and serotonin transporter (SERT) binding as well as stable isotope-determined insulin sensitivity at baseline and after 4 weeks in 24 male and female treatment-naïve metabolic syndrome subjects. Plasma metabolites and fecal microbiota were also determined at these time points. Results We observed an increase in brain DAT after donor FMT compared to oral butyrate that reduced this binding. However, no effect on body weight and insulin sensitivity was demonstrated after post-RYGB donor feces transfer in humans with metabolic syndrome. Increases in fecal levels of Bacteroides uniformis were significantly associated with an increase in DAT, whereas increases in Prevotella spp. showed an inverse association. Changes in the plasma metabolites glycine, betaine, methionine, and lysine (associated with the S-adenosylmethionine cycle) were also associated with altered striatal DAT expression. Conclusions Although more and larger studies are needed, our data suggest a potential gut microbiota-driven modulation of brain dopamine and serotonin transporters in human subjects with obese metabolic syndrome. These data also suggest the presence of a gut-brain axis in humans that can be modulated

Measurement of gluconeogenesis by deuterated water: the effect of equilibration time and fasting period

Fasting gluconeogenesis (GNG) is often quantified using the 2H2O technique, which is based on plasma 2H2O enrichment and ensuing enrichment of plasma glucose at the C5 and C2 positions. Fractional (fr)GNG can be calculated using the ratio of C5 to C2 enrichment or the ratio of C5 to plasma 2H2O enrichment. For the latter, equilibration of 2H2O and C2 is required. The optimal equilibration period of 2H2O and C2 remains to be elucidated. In six healthy male subjects fasted for 18 h, we studied the effects of 3-, 5-, and 15-h 2H2O incubation periods on 1) the equilibration of plasma 2H2O and C2 glucose enrichment, 2) the measurement of frGNG, and 3) C5 labeling of hepatic glycogen after 1 mg of glucagon administration. After 3-h 2H2O incubation, plasma 2H2O and C2 were not equilibrated, frGNG C5/2H2O and C5/C2 were also different as was gluconeogenesis calculated with C5/2H2O and C5/C2. After 5- and 15-h 2H2O incubation, plasma 2H2O and C2 were equilibrated, and frGNG C5/2H2O and C5/C2 were similar, as was GNG calculated with C5/2H2O and C5/C2. After glucagon administration, no difference of C5 enrichment was found between 3, 5, and 15 h of 2H2O incubation. In conclusion, for reliable measurement of GNG in healthy subjects with C5/2H2O incubation periods longer than 3 h are required. After 5- and 15-h 2H2O incubation, GNG can be reliably measured with C5/2H2O. Gluconeogenetic labeling of glycogen did not affect the results after 3, 5, or 15 h of 2H2O incubatio

An adrenal mass and increased catecholamines: monoamine oxidase or pheochromocytoma effect?

Hormonal evaluation in patients with an adrenal incidentaloma can be difficult in patients with comorbidities or in patients using interfering drugs. We present a case of a 54-year-old man who was evaluated for an adrenal mass. The medical history reported treatment with a monoamine oxidase (MAO) inhibitor for recurrent psychoses. Hormonal screening showed elevated levels of normetanephrine and metanephrine in plasma and urine, suggesting a diagnosis of pheochromocytoma (PHEO), and an adrenalectomy was performed. Histologic examination showed that the tumor had an origin of the adrenal cortex. MAO inhibitors are also known to cause elevated levels of catecholamines. In this case, a PHEO seemed more likely the cause due to repeatedly elevated levels of metanephrines and normal levels of catecholamines. Since the tumor had an origin of the adrenal cortex, the use of MAO inhibitors was the most likely explanation for the elevated levels of metanephrines. This case illustrated the difficulties in diagnosing PHEO, especially in patients with comorbidities and interfering drug

Simultaneous measurement of testosterone, androstenedione and dehydroepiandrosterone (DHEA) in serum and plasma using Isotope-Dilution 2-Dimension Ultra High Performance Liquid-Chromatography Tandem Mass Spectrometry (ID-LC-MS/MS)

The adrenal and gonadal androgens, testosterone, androstenedione and dehydroepiandrosterone (DHEA) play an important role in sexual development as well as in other processes. We developed a method for simultaneous quantitative analysis of serum and plasma testosterone, androstenedione and DHEA levels using Isotope-Dilution Liquid-Chromatography Tandem Mass Spectrometry (ID-LC-MS/MS). Samples underwent liquid-liquid extraction and were analyzed on an Acquity 2D-UPLC-System and a Xevo TQ-S tandem mass spectrometer (Waters). The intra-assay and inter-assay coefficients of variation were <4.0%, <6.3% and <7.0% and <6.0%, <8.1% and <7.7% for testosterone, androstenedione and DHEA, respectively. Inter-assay CVs at the lower limit were 10.6%, 16.9% and 9.0% for testosterone (0.10nmol/L), androstenedione (0.10nmol/L) and DHEA (1.0nmol/L), respectively. Recoveries of spiked analytes were 93-107%. The present testosterone method compared well (y=1.00x-0.04; r=0.998) to a published ID-LC-MS/MS method for testosterone in our lab. The latter method being concordant with a published reference method (Bui et al., 2013). The present method compared well to a published ID-LC-MS/MS method (Kushnir et al., 2010) (y=1.06x-0.06; r=0.996 for testosterone; y=1.04x-0.04; r=0.995 for androstenedione and y=1.03x+0.01; r=0.991 for DHEA). In conclusion, we developed a sensitive and accurate ID-LC-MS/MS method to simultaneously measure serum testosterone, androstenedione and DHEA in serum and plasm

Fasting Predisposes to Hypoglycemia in Surinamese Children with Severe Pneumonia, and Young Children are More at Risk

The objective of this study was to investigate glucose kinetics during controlled fasting in children with severe pneumonia. Plasma glucose concentration, endogenous glucose production and gluconeogenesis were measured in 12 Surinamese children (six young: 1-3 years, six older: 3-5 years) with severe pneumonia during a controlled 16 h fast using stable isotopes [6,6-H-2(2)]glucose and (H2O)-H-2 at a hospital-based research facility. On admission, the glucose concentrations were comparable in both groups: young children: 5.1 +/- 1.3 mmol/l, older children: 4.8 +/- 0.6 mmol/l, p = 0.685, with a decrease during the first 8 h of fasting in the young children only to 3.6 +/- 0.5, p = 0.04. Glucose production was comparable in both groups: young: 24.5 +/- 8.3, older: 24.9 +/- 5.9 mu mol/kg(center dot)min, p = 0.926. Between 8 and 16 h of fasting, the glucose concentration decreased comparably in both groups (young: - 0.9 +/- 0.7, p = 0.004; older: -1.0 +/- 0.4 mmol/l, p = 0.001), as did glucose production (young: -6.8 +/- 6.3, p = 0.003; older: -5.3 +/- 3.4 mu mol/kg(center dot)min, p = 0.001). Gluconeogenesis decreased in young children only: -5.0 +/- 7.4, p = 0.029. We conclude that fasting predisposes to hypoglycemia in children with severe pneumonia. Young children are more at risk than older children. Glucose production is an important determinant of the plasma glucose concentration in young children with pneumonia, indicating an inability to reduce glucose usage. Our results are largely in agreement with the literature on the adaptation of glucose metabolism in children with malaria, although there seem to be disease-specific differences in the regulation of gluconeogenesi