Glial acetate metabolism is increased following a 72-h fast in metabolically healthy men and correlates with susceptibility to hypoglycemia

David Harry McDougal, Moses Morakortoi Darpolor, Marina Andreyevna DuVall, Elizabeth Frost Sutton, Christopher David Morrison, Kishore Murali Gadde, Leanne Maree Redman, Owen Thomas Carmichael, David Harry McDougal, Moses Morakortoi Darpolor, Marina Andreyevna DuVall, Elizabeth Frost Sutton, Christopher David Morrison, Kishore Murali Gadde, Leanne Maree Redman, Owen Thomas Carmichael

Abstract

Aims: Prior exposure to insulin-induced hypoglycemia was shown to increase glial acetate metabolism (GAM) during subsequent exposure to hypoglycemia in diabetic individuals. However, it remained unclear whether this effect was dependent on the disease state or the antecedent cause of hypoglycemia. We aimed to establish whether exposure to fasting-induced hypoglycemia was sufficient to produce alterations in GAM in non-diabetic individuals.

Methods: GAM was measured via carbon-13 magnetic resonance spectroscopy during infusion of [1-13C] acetate before and after a 72-h fast in six metabolically healthy men. All participants were male, aged 18-40 years, with a Body Mass Index of 20.0-27.9 kg/m2, who consented to reside at Pennington Biomedical Research Center for 4 days. The main outcome measure was the percent enhancement of cerebral [1-13C] bicarbonate (the primary metabolic byproduct of glial oxidation of [1-13C] acetate). Continuous glucose monitoring was used to measure hypoglycemic episodes during the 72-h fast.

Results: As expected, 72 h of fasting significantly reduced blood glucose levels and resulted in a high frequency of hypoglycemic episodes. Steady-state GAM increased from 53.5 ± 3.7 to 61.9 ± 1.7% following the 72-h fast (p = 0.005). This increase correlated with greater duration of hypoglycemia experienced during the fast (r = 0.967). In addition, subjects with greater GAM at baseline experienced a greater increase in the duration of hypoglycemia experienced during the 72-h fast (r = 0.979).

Conclusions: GAM has potential as a biomarker for susceptibility to hypoglycemic episodes.

Trail registration: Clinicaltrials.gov ID: NCT02690168.

Keywords: Acetates; Fasting; Glucose; Humans; Hypoglycemia; Magnetic resonance spectroscopy; Neuroglia.

Conflict of interest statement

Conflict of interest

The authors have stated explicitly that there are no conflicts of interest in connection with this article.

Ethical standard statement

All study procedures and literature were approved by the Institutional Review Board at Pennington Biomedical Research Center (PBRC). All subjects provided informed consent prior to enrollment in the study (NCT02690168). All study procedures and measurements, except plasma acetate assays (conducted at the University of Tennessee, Knoxville, TN, USA), were performed at PBRC, Baton Rouge, LA, USA.

Informed consent

Informed consent was obtained from all individual participants in the study.

Figures

Fig. 1
Fig. 1
Glial acetate metabolism (GAM) is increased following a 72-h fast. GAM was measured via carbon 13 magnetic resonance spectroscopy during [1-13C] acetate infusion. a Time course of the percent enhancement (PE) of 13C bicarbonate (HCO3; the primary metabolite of [1-13C] acetate oxidation) following the start of infusion in a representative subject after 12 h of fasting (day 0) and 72 h of fasting (day 3). The solid line represents the best fit of a mono-exponential function modeling GAM. b Comparison of the average best fit across subjects via a linear mixed effects model demonstrates a clear increase from day 0 to 3 (p < 0.0001). c Average steady-state PE of HCO3 was increased on day 3 relative to day 0 (p = 0.0053). Furthermore, the PE of HCO3 was increased on day 3 relative to day 0 in all subjects who completed both scans (symbols with connecting lines)
Fig. 2
Fig. 2
Continuous glucose monitoring (CGM) demonstrates that 72 h of fasting leads to frequent bouts of hypoglycemia. CGM was used to monitor blood glucose levels at 5-min intervals throughout a 72-h fast. The mean blood glucose for all six subjects is plotted in the top panel. The gray shading represents the 95% confidence limit and the dotted line represents the clinical threshold for Level 1 hypoglycemia, 70 mg/dL. The lower panel represents the percent of subjects which experienced a hypoglycemic episode during each hour of the 72-h fast. A subject was determined to have had a hypoglycemic episode during a given hour of the fast if a CGM reading of ≤ 70 mg/dL was maintained for three consecutive CGM readings (15 min)
Fig. 3
Fig. 3
Individual differences in glial acetate metabolism (GAM) are related to the duration of hypoglycemia experienced during a 72-h fast. GAM, as measured by the percent enhancement of 13C bicarbonate (PE of HCO3) following an acetate infusion, is both predictive of and responsive to subsequent fasting-induced hypoglycemia. a Relationship between glia acetate metabolism measured just prior to 72 h of fasting (day 0) and the subsequent exposure to hypoglycemia during the fast (percent time ≤ 70 mg/dL). A correlation analysis between these two variables demonstrated a robust positive relationship between GAM and the duration of hypoglycemia experienced during fasting (Pearson’s r2 = 0.96, p = 0.004). b GAM measured following a 72-h fast (day 3) increase in a dose-dependent manner based on the magnitude of exposure to hypoglycemia during the fast (Pearson’s r2 = 0.94, p = 0.007)

References

    1. Ritter S. Monitoring and maintenance of brain glucose supply: importance of hindbrain catecholamine neurons in this multifaceted task. In: harris rbs., editor. appetite and food intake: central control. 2. Boca Raton: CRC Press/Taylor & Francis; 2017. pp. 177–204.
    1. Cryer PE. Mechanisms of hypoglycemia-associated autonomic failure in diabetes. N Engl J Med. 2013;369:362–372. doi: 10.1056/NEJMra1215228.
    1. Cryer PE. The barrier of hypoglycemia in diabetes. Diabetes. 2008;57:3169–3176. doi: 10.2337/db08-1084.
    1. Segel SA, Paramore DS, Cryer PE. Hypoglycemia-associated autonomic failure in advanced type 2 diabetes. Diabetes. 2002;51:724–733. doi: 10.2337/diabetes.51.3.724.
    1. Miller DW, Cookson MR, Dickson DW. Glial cell inclusions and the pathogenesis of neurodegenerative diseases. Neuron Glia Biol. 2004;1:13–21. doi: 10.1017/S1740925X04000043.
    1. Sanders NM, Dunn-Meynell AA, et al. Third ventricular alloxan reversibly impairs glucose counterregulatory responses. Diabetes. 2004;53:1230–1236. doi: 10.2337/diabetes.53.5.1230.
    1. Marty N, Dallaporta M, Foretz M, et al. Regulation of glucagon secretion by glucose transporter type 2 (glut2) and astrocyte-dependent glucose sensors. J Clin Investig. 2005;115:3545–3553. doi: 10.1172/JCI26309.
    1. Hermann GE, Viard E, Rogers RC. Hindbrain glucoprivation effects on gastric vagal reflex circuits and gastric motility in the rat are suppressed by the astrocyte inhibitor fluorocitrate. J Neurosci. 2014;34:10488–10496. doi: 10.1523/JNEUROSCI.1406-14.2014.
    1. McDougal DH, Viard E, Hermann GE, et al. Astrocytes in the hindbrain detect glucoprivation and regulate gastric motility. Auton Neurosci. 2013;175:61–69. doi: 10.1016/j.autneu.2012.12.006.
    1. Rogers RC, Ritter S, Hermann GE. Hindbrain cytoglucopenia-induced increases in systemic blood glucose levels by 2-deoxyglucose depend on intact astrocytes and adenosine release. Am J Physiol Regul Integr Comp Physiol. 2016;310:R1102–R1108. doi: 10.1152/ajpregu.00493.2015.
    1. Rogers RC, McDougal DH, Hermann GE. Hindbrain astrocyte glucodetectors and counterregulation. In: Harris RBS, editor. Appetite and food intake: central control. 2. Boca Raton: CRC Press/Taylor & Francis; 2017. pp. 205–228.
    1. Mason GF, Petersen KF, Lebon V, et al. Increased brain monocarboxylic acid transport and utilization in type 1 diabetes. Diabetes. 2006;55:929–934. doi: 10.2337/diabetes.55.04.06.db05-1325.
    1. Gulanski BI, De Feyter HM, Page KA, et al. Increased brain transport and metabolism of acetate in hypoglycemia unawareness. J Clin Endocrinol Metab. 2013;98:3811–3820. doi: 10.1210/jc.2013-1701.
    1. Deelchand DK, Shestov AA, Koski DM, et al. Acetate transport and utilization in the rat brain. J Neurochem. 2009;109(Suppl 1):46–54. doi: 10.1111/j.1471-4159.2009.05895.x.
    1. Fonnum F, Johnsen A, Hassel B. Use of fluorocitrate and fluoroacetate in the study of brain metabolism. Glia. 1997;21:106–113. doi: 10.1002/(SICI)1098-1136(199709)21:1<106::AID-GLIA12>;2-W.
    1. Bak AM, Møller AB, Vendelbo MH, et al. Differential regulation of lipid and protein metabolism in obese vs. lean subjects before and after a 72-h fast. Am J Physiol Endocrinol Metab. 2016;311:E224–E235. doi: 10.1152/ajpendo.00464.2015.
    1. Ding XQ, Maudsley AA, Schweiger U, et al. Effects of a 72 hours fasting on brain metabolism in healthy women studied in vivo with magnetic resonance spectroscopic imaging. J Cereb Blood Flow Metab. 2017;38:469478.
    1. Hojlund K, Wildner-Christensen M, Eshoj O, et al. Reference intervals for glucose, beta-cell polypeptides, and counterregulatory factors during prolonged fasting. Am J Physiol Endocrinol Metab. 2001;280:E50–E58. doi: 10.1152/ajpendo.2001.280.1.E50.
    1. Vella A, Service FJ, O’Brien PC. Glucose counterregulatory hormones in the 72-hour fast. Endocr Pract. 2003;9:115–118. doi: 10.4158/EP.9.2.115.
    1. Diamond MP, Jones T, Caprio S, et al. Gender influences counterregulatory hormone responses to hypoglycemia. Metab Clin Exp. 1993;42:1568–1572. doi: 10.1016/0026-0495(93)90152-E.
    1. Amiel SA, Maran A, Powrie JK, et al. Gender differences in counterregulation to hypoglycaemia. Diabetologia. 1993;36:460–464. doi: 10.1007/BF00402284.
    1. Skamarauskas JT, Oakley F, Smith FE, et al. Noninvasive in vivo magnetic resonance measures of glutathione synthesis in human and rat liver as an oxidative stress biomarker. Hepatology. 2014;59:2321–2330. doi: 10.1002/hep.26925.
    1. Vanhamme L, van den Boogaart A, Van Huffel S. Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. J Magn Reson. 1997;129:35–43. doi: 10.1006/jmre.1997.1244.
    1. Stefan D, Cesare FD, Andrasescu A, et al. Quantitation of magnetic resonance spectroscopy signals: the jMRUI software package. Meas Sci Technol. 2009;20:104035. doi: 10.1088/0957-0233/20/10/104035.
    1. Bluml S, Moreno-Torres A, Shic F, et al. Tricarboxylic acid cycle of glia in the in vivo human brain. NMR Biomed. 2002;15:1–5. doi: 10.1002/nbm.725.
    1. I. nternational Hypoglycaemia Study Group Glucose concentrations of less than 3.0 mmol/L (54 mg/dL) should be reported in clinical trials: a joint position statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2017;40:155–157. doi: 10.2337/dc16-2215.
    1. Ross B, Lin A, Harris K, et al. Clinical experience with 13C MRS in vivo. NMR Biomed. 2003;16:358–369. doi: 10.1002/nbm.852.
    1. Boyle PJ, Shah SD, Cryer PE. Insulin, glucagon, and catecholamines in prevention of hypoglycemia during fasting. Am J Physiol. 1989;256:E651–E661.
    1. Adamson U, Lins PE, Grill V. Fasting for 72 h decreases the responses of counterregulatory hormones to insulin-induced hypoglycaemia in normal man. Scand J Clin Lab Investig. 1989;49:751–756. doi: 10.3109/00365518909091553.
    1. Drenick EJ, Alvarez LC, Tamasi GC, et al. Resistance to symptomatic insulin reactions after fasting. J Clin Investig. 1972;51:2757–2762. doi: 10.1172/JCI107095.
    1. Kropff J, Bruttomesso D, Doll W, et al. Accuracy of two continuous glucose monitoring systems: a head-to-head comparison under clinical research centre and daily life conditions. Diabetes Obes Metab. 2015;17:343–349. doi: 10.1111/dom.12378.

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