Diagnosis of hepatic steatosis and steatohepatitis in people with new-onset type 2 diabetes: a multidisciplinary approach.

AIMS: Non-Alcoholic-Fatty-Liver-Disease (NAFLD) is the most common cause of chronic liver disease in Western countries; closely linked to obesity and type 2 diabetes (T2DM), it is an additional cardiovascular risk factor. The aim of this study is to investigate the prevalence of NAFLD at T2DM onset. METHODS: 122 newly diagnosed T2DM patients were enroled; NAFLD was diagnosed using ultrasound and fibrosis risk calculated with an FIB4-score. Intermediate and high-risk patients were referred to a hepatologist and underwent transient elastography (TE). RESULTS: At T2DM diagnosis, 25% of patients were overweight, 47% were obese; ultrasound steatosis was present in 79% of patients; the average FIB-4 score was 1.4 (0.7). The NAFLD population was characterised by higher presence of obesity (60%, p 0.06); hypertension (56%, p 0.00); AST (26.3 (23.6) UI/L; p 0.00); ALT (49.3(41.0) UI/L p 0.00); FIB-4 score (1.6 (0.8); p 0.00). Among patients referred to a hepatologist, at TE, 65% had severe steatosis, 22% significant fibrosis and 25% advanced fibrosis. CONCLUSION: This is the first proposal of a NAFLD screening model at T2DM diagnosis. The high prevalence of fibrosis found at the early stage T2DM confirms the compelling need for early management of NAFLD through cost-effective screening and long-term monitoring algorithms.

Italian Titration Approach Study (ITAS) with insulin glargine 300 U/mL in insulin-naïve type 2 diabetes: Design and population.

BACKGROUND AND AIMS: Fostering patient's self-managing of basal insulin therapy could improve glucose control, by removing patient's and physician's barriers to basal insulin initiation, titration and glucose monitoring. The Italian Titration Approaches Study (ITAS) aims at demonstrating non-inferiority (<0.3% margin) in efficacy of glucose control (change in glycated hemoglobin [HbA1c] after 24 weeks) by the same titration algorithm of insulin glargine 300 U/mL (Gla-300), managed by the (nurse assisted) patient versus the physician, in insulin naïve patients with Type 2 Diabetes Mellitus (T2DM), uncontrolled with previous treatments. METHODS AND RESULTS: ITAS is a phase IV, 24-week, national, multicenter, open label, randomized (1:1) parallel group study. 458 patients were enrolled, 359 randomized, and 339 completed the study, in 46 Italian centers. Baseline characteristics and previous medications of the ITT population (N = 355) are reported. Mean ± SD age, T2DM duration, HbA1c, FPG and BMI were 64.0 ± 9.8 years, 11.6 ± 7.6 years, 8.79 ± 0.65%, 170.9 ± 42.3 mg/dL, and 30.3 ± 5.6 kg/m2, respectively. Vascular and metabolic disorders were most frequent (73.8% and 58.3%, respectively). More than 90% of patients were on metformin. CONCLUSION: ITAS is the first study to compare two different managers (nurse-assisted patient vs physician) of the same titration algorithm of Gla-300 in insulin naïve patients with T2DM in unsatisfactory glucose control. This study might provide novel evidence on the efficacy/effectiveness of patient-managed titration algorithm of Gla-300 in a pragmatic setting and may reduce barriers to basal insulin initiation and its titration.

Clinical relevance of pharmacokinetic and pharmacodynamic profiles of insulin degludec (100, 200 U/mL) and insulin glargine (100, 300 U/mL) - a review of evidence and clinical interpretation.

AIM: Second-generation basal insulin analogues (e.g. insulin degludec, insulin glargine 300 U/mL), were designed to further extend the duration of insulin action and reduce within-day and day-to-day variability, and consequently hypoglycaemia risk, versus earlier long-acting basal insulins. This review examines the pharmacokinetic/pharmacodynamic characteristics of insulin degludec (100, 200 U/mL) and insulin glargine (100, 300 U/mL), and their influence on clinical outcomes. METHODS: Available pharmacokinetic/pharmacodynamic publications comparing insulin degludec and insulin glargine were reviewed. RESULTS: Both insulin degludec and insulin glargine 300 U/mL have more prolonged and stable pharmacokinetic/pharmacodynamic profiles than the earlier basal insulin analogue, insulin glargine 100 U/mL. Insulin glargine 300 U/mL (0.4 U/kg, morning) showed a more stable pharmacodynamic profile (20% lower within-day variability [P = 0.047]) and more even 24-h distribution (over each 6-h quartile) than insulin degludec 100 U/mL, whereas the supratherapeutic 0.6 U/kg dose demonstrated a similar, albeit non-significant, trend. In contrast, a second clamp study indicated lower day-to-day variability in the 24-h glucose-lowering effect (variance ratio 3.70, P < 0.0001), and more even dosing over each 6-h quartile, with insulin degludec 200 U/mL versus insulin glargine 300 U/mL (0.4 U/kg, evening). Methodological differences and differences in bioequivalence that may explain these discrepancies are discussed. CONCLUSIONS: Compared with earlier insulin analogues, second-generation basal insulins have improved pharmacokinetic/pharmacodynamic profiles that translate into clinical benefits, primarily reduced nocturnal-hypoglycaemia risk. Additional head-to-head comparisons of insulin degludec and insulin glargine 300 U/mL at bioequivalent doses, utilising continuous glucose monitoring and/or real-world evidence, are required to elucidate the differences in their pharmacological and clinical profiles.

Different insulin concentrations in resuspended vs. unsuspended NPH insulin: Practical aspects of subcutaneous injection in patients with diabetes.

AIMS: This study measured the insulin concentration (Ins[C]) of NPH insulin in vials and cartridges from different companies after either resuspension (R+) or not (R-; in the clear/cloudy phases of unsuspended NPH). METHODS: Measurements included Ins[C] in NPH(R+) and in the clear/cloudy phases of NPH(R-), and the time needed to resuspend NPH and time for NPH(R+) to separate again into clear/cloudy parts. RESULTS: In vials of NPH(R+) (assumed to be 100%), Ins[C] in the clear phase of NPH(R-) was<1%, but 230±41% and 234±54% in the cloudy phases of Novo Nordisk and Eli Lilly NPH, respectively. Likewise, in pen cartridges, Ins[C] in the clear phase of NPH(R-) was<1%, but 182±33%, 204±22% and 229±62% in the cloudy phases of Novo, Lilly and Sanofi NPH. Time needed to resuspend NPH (spent in tipping) in vials was brief with both Novo (5±1s) and Lilly NPH (6±1s), but longer with all pen cartridges (50±8s, 40±6s and 30±4s from Novo, Lilly and Sanofi, respectively; P=0.022). Time required for 50% separation into cloudy and clear parts of NPH was longer with Novo (60±7min) vs. Lilly (18±3min) in vials (P=0.021), and affected by temperature, but not by the different diameter sizes of the vials. With pen cartridges, separation into clear and cloudy parts was significantly faster than in vials (P<0.01). CONCLUSION: Ins[C] in NPH preparations varies depending on their resuspension or not. Thus, subcutaneous injection of the same number of units of NPH in patients with diabetes may deliver different amounts of insulin depending on its prior NPH resuspension.

GLP-1 RAs as compared to prandial insulin after failure of basal insulin in type 2 diabetes: lessons from the 4B and Get-Goal DUO 2 trials.

The add-on of a prandial (short-acting) GLP-1 RA to basal insulin in subjects with T2DM who fail to control A1C on basal insulin, stems from the physiological principles of post-prandial glucose homeostasis, and it is based on evidence from clinical trials. The 4B and GetGoal DUO 2 studies are the first to establish in head-to-head comparison, the efficacy and safety of short-acting GLP-1 RAs vs prandial insulin, when added-on to basal insulin glargine. In the 4B study (exenatide 2/d vs lispro 3/d) exenatide demonstrated similar efficacy vs lispro in reducing A1C to ~7.2%. However, exenatide reduced also body weight and hypoglycemia incidence as compared to lispro. In GetGoal DUO 2, the head-to-head comparison was between lixisenatide 1/d vs glulisine either 1/d (at the main meal, basal-plus) or 3/d (basal-bolus). Like in 4B, in GetGoal DUO 2 the A1C decreased to similar values with lixisenatide or glulisine 1/d (~7.2%), or glulisine 3/d (~7.0%). Again, as in the 4B, body weight and hypoglycemia incidence were lower with lixisenatide. In both studies a similar percentage of subjects reached the A1C <7.0% on GLP-1 RA or prandial insulin. A higher percentage of subjects reported adverse events on GLP-1 RAs, primarily gastrointestinal related. The studies 4B and GetGoal DUO 2 suggest that after failure of basal insulin in T2DM, the add-on of prandial GLP-1 RA is as effective as prandial insulin in lowering A1C, with added benefits of reducing body weight and risk for hypoglycemia. In addition, the GLP-1 RA + basal insulin is a simpler therapeutic option as compared to basal-plus and basal-bolus regimens.

Glargine metabolism over 24 h following its subcutaneous injection in patients with type 2 diabetes mellitus: a dose-response study.

BACKGROUND AND AIMS: After subcutaneous injection insulin glargine is rapidly metabolized to M1 and M2. In vitro, both M1 and M2 have metabolic effects and bind to IGF-1R similarly to human insulin, whereas glargine exhibits a higher affinity for the IGF-1R and greater mitogenetic effects. The present study was specifically designed to establish the dose-response metabolism of glargine over 24 h following s.c. injection in T2DM subjects on long-term use of glargine. METHODS AND RESULTS: Ten subjects with T2DM were studied during 24 h after s.c. injection of 0.4 (therapeutic) and 0.8 (high dose) U/kg of glargine on two separate occasions during euglycaemic clamps (cross-over design). Glargine, M1 and M2 over 24 h period were determined in appropriately processed plasma samples by a specific liquid chromatography-tandem mass spectrometry assay. Plasma M1 concentration (AUC0-24 h) was detected in all subjects and increased by increasing the glargine dose from therapeutic to high dose (p = 0.008). Glargine was detectable in 6 (therapeutic dose) and 9 (high dose) out of the 10 subjects and also increased by increasing the dose (p = 0.031). However, glargine concentration (AUC0-24 h--high dose) represented at most only 9.7% (4.6-15%) of the total amount of insulin measured in the blood. M2 was not detected at all. CONCLUSION: In T2DM people on long-term use of insulin glargine, even with higher doses (0.8 U/kg), glargine is nearly totally metabolized to the active metabolite M1. Glargine is often detectable in plasma, but its concentration remains well below that needed in vitro to potentiate IGF-1R binding and mitogenesis.

Effect of the amino acid alanine on glucagon secretion in non-diabetic and type 1 diabetic subjects during hyperinsulinaemic euglycaemia, hypoglycaemia and post-hypoglycaemic hyperglycaemia.

AIMS/HYPOTHESIS: The aim of our study was to establish whether the well-known defective or absent secretion of glucagon in type 1 diabetes in response to hypoglycaemia is selective or includes lack of responses to other stimuli, such as amino acids. MATERIALS AND METHODS: Responses of glucagon to hypoglycaemia were measured in eight patients with type 1 diabetes and six non-diabetic subjects during hyperinsulinaemic (insulin infusion 0.5 mU kg(-1) min(-1)) and eu-, hypo- and hyperglycaemic clamp studies (sequential steps of plasma glucose 5.0, 2.9, 5.0, 10 mmol/l). Subjects were studied on three randomised occasions with infusion of low- or high-dose alanine, or saline. RESULTS: With saline, glucagon increased in hypoglycaemia in non-diabetic subjects but not in diabetic subjects. Glucagon increased further with low-dose (181 +/- 16 ng l(-1) min(-1)) and high-dose alanine (238 +/- 20 ng l(-1) min(-1)) in non-diabetic subjects, but only with high-dose alanine in diabetic subjects (area under curve 112 +/- 5 ng l(-1) min(-1)). The alanine-induced glucagon increase in diabetic subjects paralleled the spontaneous glucagon response to hypoglycaemia in non-diabetic subjects not receiving alanine. The greater responses of glucagon to hypoglycaemia with alanine infusion were offset by recovery of eu- or hyperglycaemia. CONCLUSIONS/INTERPRETATION: In type 1 diabetes, the usually deficient responses of glucagon to hypoglycaemia may improve after increasing the concentration of plasma amino acids. Amino acid-enhanced secretion of glucagon in response to hypoglycaemia remains under physiological control since it is regulated primarily by the ambient plasma glucose concentration. These findings might be relevant to improving counter-regulatory defences against insulin-induced hypoglycaemia in type 1 diabetes.

Evaluation of the accuracy of a microdialysis-based glucose sensor during insulin-induced hypoglycemia, its recovery, and post-hypoglycemic hyperglycemia in humans.

BACKGROUND: These studies were designed to evaluate the accuracy of a microdialysis-based subcutaneous glucose sensor (GlucoDay, A. Menarini Diagnostics, Firenze, Italy) compared with a standard reference method of plasma glucose measurement during insulin-induced hypoglycemia. RESEARCH DESIGN AND METHODS: Nine subjects without diabetes were studied in eu-, hypo-, and hyperglycemia (clamp technique). The GlucoDay was calibrated against one arterialized plasma glucose measurement (Glucose Analyzer, Beckman, Brea, CA), and plasma glucose estimates every 3 min were compared with paired plasma glucose values. RESULTS: Accuracy of glucose estimates was not homogeneously distributed among subjects and depended on stability of the sensor's current signal during spontaneous euglycemia (R +/- -0.68). Linear regression analysis showed a good correlation between the two methods of measurement (R = 0.9), Deming regression showed the inclusion of the unit in the confidence interval of the slope (slope 0.95, 95% confidence interval 0.87-1.02), and the accuracy of the GlucoDay reached 40 +/- 15% (American Diabetes Association criteria). The mean relative difference was 6 +/- 8% in euglycemia, 13 +/- 14% during plasma glucose fall, 5 +/- 22% in the hypoglycemic plateau, and -14 +/- 16% during recovery from hypoglycemia. The Bland-Altman analysis indicated a bias of -1.9 +/- 16.6 mg/dL, whereas the Error Grid Analysis showed 94% of the Gluco- Day measurements in the acceptable zones of the grid. The time to reach the glycemic nadir was longer when measured with the GlucoDay (90 +/- 5 vs. 72.5 +/- 9 min, P < 0.05). However, absolute values of glycemic nadir, time spent in hypoglycemia, and the rate of fall of glycemia and the rate of recovery from the hypoglycemia were not statistically different. CONCLUSIONS: GlucoDay closely monitors changes in plasma glucose before, during, and after hypoglycemia. However, these results can be achieved only if calibration of the GlucoDay is performed under conditions of sensor signal stability. Similar studies have to be performed in subjects with diabetes to validate the GlucoDay system.

Glucagon: the effects of its excess and deficiency on insulin action.

AIM: To review the role that glucagon plays in physiology, physiopathology and clinical medicine. DATA SYNTHESIS: Glucagon assays employing specific radioimmunoassay (RIA) techniques are now widely used to characterize pathologic conditions where the effect of the excess or deficiency of glucagon on insulin actions might play a role. Glucagon excess counteracts the action of insulin on glucose metabolism by stimulating glycogenolysis and gluconeogenesis. Aside from glucagon excess in association with glucagonoma, glucagon excess is found in several metabolic disturbances. In diabetes mellitus, hyperglycaemia is the consequence of the glycogenolytic and gluconeogenic effects of glucagon excess occurring in the setting of a relative insulin deficiency (i.e. Type 2 diabetes), whereas excess of glucagon and absent insulin levels are typical features of diabetic ketoacidosis. Although plasma glucagon levels of patients with diabetes are usually increased relative to the prevailing plasma glucose concentrations, it is a paradox that in those patients glucagon levels fail to rise when hypoglycaemia develops. Since glucagon release is considered the primary defence against insulin-induced hypoglycaemia, the defective response of glucagon to hypoglycaemia may favour the development of severe hypoglycaemia. Such defective response to hypoglycaemia in diabetes can be regarded as a condition of selective glucagon deficiency the mechanisms of which remain to be elucidated. CONCLUSION: The most common condition associated with glucagon excess or deficiency is diabetes mellitus. Glucagon excess contributes to hyperglycaemia whereas reduced glucagon response to insulin-induced hypoglycaemia promotes severe hypoglycaemia. It is expected that drugs that are able to reduce glucagon secretion in concert with strategies directed to recover glucagon secretion to hypoglycaemia might contribute to improve the overall glycaemic control in diabetes.

Better long-term glycaemic control with the basal insulin glargine as compared with NPH in patients with Type 1 diabetes mellitus given meal-time lispro insulin.

BACKGROUND: Glargine is a long-acting insulin analogue potentially more suitable than NPH insulin in intensive treatment of Type 1 diabetes mellitus (T1 DM), but no study has proven superiority. The aim of this study was to test superiority of glargine on long-term blood glucose (BG) as well as on responses to hypoglycaemia vs. NPH. METHODS: One hundred and twenty-one patients with T1 DM on intensive therapy on four times/day NPH and lispro insulin at each meal, were randomized to either continuation of NPH four times/day (n = 60), or once daily glargine at dinner-time (n = 61) for 1 year. Lispro insulin at meal-time was continued in both groups. In 11 patients from each group, responses to stepped hyperinsulinaemic-hypoglycaemia were measured before and after 1 year's treatment. RESULTS: Mean daily BG was lower with glargine [7.6 +/- 0.11 mmol/l (137 +/- 2 mg/dl)] vs. NPH [8.1 +/- 0.22 mmol/l (146 +/- 4 mg/dl)] (P < 0.05). HbA(1c) at 4 months did not change with NPH, but decreased with glargine (from 7.1 +/- 0.1 to 6.7 +/- 0.1%), and remained lower than NPH at 12 months (6.6 +/- 0.1%, P < 0.05 vs. NPH). Frequency of mild hypoglycaemia [self-assisted episodes, blood glucose < or = 4.0 mmol/l (72 mg/dl)] was lower with glargine vs. NPH (7.2 +/- 0.5 and 13.2 +/- 0.6 episodes/patient-month, P < 0.05). After 1 year, NPH treatment resulted in no change of responses to hypoglycaemia, whereas with glargine plasma glucose, thresholds and maximal responses of plasma adrenaline and symptoms to hypoglycaemia improved (P < 0.05). CONCLUSIONS: The simpler glargine regimen decreases the percentage of HbA(1c) and frequency of hypoglycaemia and improves responses to hypoglycaemia more than NPH. Thus, glargine appears more suitable than NPH as basal insulin for intensive treatment of T1 DM.

Rate of fall of blood glucose and physiological responses of counterregulatory hormones, clinical symptoms and cognitive function to hypoglycaemia in Type I diabetes mellitus in the postprandial state.

AIMS/HYPOTHESIS: The aim of this study was to establish the effect of a rate of decreasing plasma glucose concentrations on responses to hypoglycaemia, i.e. release of counterregulatory hormones, perception of symptoms, deterioration of cognitive function, and rates of forearm noradrenaline spillover, in the postprandial condition and in the sitting position. METHODS: We studied 11 subjects with Type I (insulin-dependent) diabetes mellitus, twice during clamped insulin-induced hypoglycaemia (2.4 mmol/l) after eating in the sitting position. On one occasion, plasma glucose was decreased at the rate of 0.1+/-0.003 mmol x min(-1) x l(-1) (fast fall), on the other at the rate of 0.03+/-0.001 mmol x min(-1) x l(-1) (slow fall). Subjects underwent a control euglycaemic clamp study as well. RESULTS: In response to fast-fall as compared to slow-fall hypoglycaemia, which was about 30 min longer, cognitive tasks were performed as follows: Trail-Making B, PASAT 2 s, Digit Vigilance Test and Verbal Memory deteriorated more, adrenaline increased less (2.8+/-0.5 vs 3.5+/-0.7 nmol/l, p=0.03), forearm noradrenaline spillover was greater (6.5+/-1.0 vs 5.2+/-0.4 pmol x min(-1) x 100 ml(-1), p=0.04), and symptoms were no different. After recovery from hypoglycaemia, cognitive function was still deteriorated compared to the baseline with no difference between fast and slow-fall hypoglycaemia. The evident response of glucagon to postprandial hypoglycaemia contrasted with the blunted or absent response in the fasting state. CONCLUSION/INTERPRETATION: In the postprandial condition and sitting position, fast-fall hypoglycaemia is more dangerous than slow-fall, because it deteriorates cognitive function more, and activates responses of counterregulatory hormones less than slow-fall hypoglycaemia.

Blood-to-brain glucose transport, cerebral glucose metabolism, and cerebral blood flow are not increased after hypoglycemia.

Recent antecedent hypoglycemia has been found to shift glycemic thresholds for autonomic (including adrenomedullary epinephrine), symptomatic, and other responses to subsequent hypoglycemia to lower plasma glucose concentrations. This change in threshold is the basis of the clinical syndromes of hypoglycemia unawareness and, in part, defective glucose counterregulation and the unifying concept of hypoglycemia-associated autonomic failure in type 1 diabetes. We tested in healthy young adults the hypothesis that recent antecedent hypoglycemia increases blood-to-brain glucose transport, a plausible mechanism of this phenomenon. Eight subjects were studied after euglycemia, and nine were studied after approximately 24 h of interprandial hypoglycemia ( approximately 55 mg/dl, approximately 3.0 mmol/l). The latter were shown to have reduced plasma epinephrine (P = 0.009), neurogenic symptoms (P = 0.009), and other responses to subsequent hypoglycemia. Global bihemispheric blood-to-brain glucose transport and cerebral glucose metabolism were calculated from rate constants derived from blood and brain time-activity curves-the latter determined by positron emission tomography (PET)-after intravenous injection of [1-(11)C]glucose at clamped plasma glucose concentrations of 65 mg/dl (3.6 mmol/l). For these calculations, a model was used that includes a fourth rate constant to account for egress of [(11)C] metabolites. Cerebral blood flow was measured with intravenous [(15)O]water using PET. After euglycemia and after hypoglycemia, rates of blood-to-brain glucose transport (24.6 +/- 2.3 and 22.4 +/- 2.4 micromol. 100 g(-1). min(-1), respectively), cerebral glucose metabolism (16.8 +/- 0.9 and 15.9 +/- 0.9 micromol. 100 g(-1). min(-1), respectively) and cerebral blood flow (56.8 +/- 3.9 and 53.3 +/- 4.4 ml. 100 g(-1). min(-1), respectively) were virtually identical. These data do not support the hypothesis that recent antecedent hypoglycemia increases blood-to-brain glucose transport during subsequent hypoglycemia. They do not exclude regional increments in blood-to-brain glucose transport. Alternatively, the fundamental alteration might lie beyond the blood-brain barrier.

Physiology of glucose counterregulation to hypoglycemia.

Prevention of hypoglycemia is essential for the preservation of brain metabolism and survival of the whole body. Normally, glucose is the only substrate used by the brain to meet its metabolic requirements. Therefore, a continuous supply of circulatory glucose is a necessary prerequisite for normal cerebral metabolism. When plasma glucose concentration decreases (e.g., during prolonged fasting or after administration of glucose-lowering drugs) several physiologic responses are activated to prevent further decreases in blood glucose. The first response is known as counterregulation, a system that prevents and corrects hypoglycemia through the release of counterregulatory hormones.

Hypoglycemia per se stimulates sympathetic neural as well as adrenomedullary activity, but, unlike the adrenomedullary response, the forearm sympathetic neural response is not reduced after recent hypoglycemia.

We tested the hypotheses that 1) hypoglycemia per se stimulates the sympathetic neural as well as the adrenomedullary component of the sympathochromaffin system, and 2) sympathetic neural responses to hypoglycemia, like adrenomedullary responses, are reduced after recent hypoglycemia. To this end, we studied 10 healthy young adults on 2 consecutive days on two separate occasions, on one occasion with euglycemia (5.0 mmol/l) and on the other occasion with hypoglycemia (2.8 mmol/l) from 1000 to 1200 and 1400 to 1600 on day 1 of each occasion. On day 2 of each occasion, plasma epinephrine and norepinephrine (NE) concentrations and rates of systemic NE spillover (SNESO) and forearm NE spillover (FNESO) were measured during hyperinsulinemic (12.0 pmol x kg(-1) x min(-1)) euglycemia (5.0 mmol/l) and hypoglycemia (2.8 mmol/l). Compared with values during euglycemia, plasma epinephrine and NE and rates of SNESO and FNESO all increased during hypoglycemia (P < 0.01). After day 1 hypoglycemia, there were reductions during hypoglycemia on day 2 in plasma epinephrine (2,050 +/- 500 vs. 2,960 +/- 400 pmol/l; P < 0.02), plasma NE (1.35 +/- 0.16 vs. 1.92 +/- 0.20 nmol/l; P < 0.01), and SNESO rates (5.13 +/- 0.84 vs. 6.87 +/- 0.81 nmol/min; P < 0.02). However, FNESO rates were unaltered (1.16 +/- 0.25 vs. 1.27 +/- 0.17 pmol x min(-1) x 100 ml tissue(-1). Thus we conclude that 1) hypoglycemia per se stimulates both the sympathetic neural and adrenomedullary components of the sympathochromaffin system and 2) adrenomedullary, but not forearm sympathetic neural, responses to hypoglycemia are reduced after recent hypoglycemia. The extent to which the lower plasma NE levels and reduced SNESO responses to hypoglycemia after day 1 hypoglycemia reflect reduced NE release from the adrenal medullae, sympathetic nerves other than those in the forearm, or both cannot be determined from these data.

Impact of nocturnal hypoglycemia on hypoglycemic cognitive dysfunction in type 1 diabetes.

To test the hypothesis that glycemic thresholds for cognitive dysfunction during hypoglycemia, like those for autonomic and symptomatic responses, shift to lower plasma glucose concentrations after recent antecedent hypoglycemia in patients with type 1 diabetes mellitus (T1DM), 15 patients were studied on two occasions. Cognitive functions were assessed during morning hyperinsulinemic stepped hypoglycemic clamps (85, 75, 65, 55, and 45 mg/dl steps) after, in random sequence, nocturnal (2330-0300) hypoglycemia (48 +/- 2 mg/dl) on one occasion and nocturnal euglycemia (109 +/- 1 mg/dl) on the other. Compared with nondiabetic control subjects (n = 12), patients with T1DM had absent glucagon (P = 0.0009) and reduced epinephrine (P = 0.0010), norepinephrine (P = 0.0001), and neurogenic symptom (P = 0.0480) responses to hypoglycemia; the epinephrine (P = 0.0460) and neurogenic symptom (P = 0.0480) responses were reduced further after nocturnal hypoglycemia. After nocturnal hypoglycemia, in contrast to nocturnal euglycemia, there was less deterioration of cognitive function overall (P = 0.0065) during hypoglycemia based on analysis of the sum of standardized scores (z-scores). There was relative preservation of measures of pattern recognition and memory (the delayed non-match to sample task, P = 0.0371) and of attention (the Stroop arrow-word task, P = 0.0395), but not of measures of information processing (the paced serial addition task) or declarative memory (the delayed paragraph recall task), after nocturnal hypoglycemia. Thus, glycemic thresholds for hypoglycemic cognitive dysfunction, like those for autonomic and symptomatic responses to hypoglycemia, shift to lower plasma glucose concentrations after recent antecedent hypoglycemia in patients with T1DM.