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Neuroimaging pipelines have long been known to generate mildly differing results depending on various factors, including software version. While considered generally acceptable and within the margin of reasonable error, little is known about their effect in common research scenarios such as inter-group comparisons between healthy controls and various pathological conditions. The aim of the presented study was to explore the differences in the inferences and statistical significances in a model situation comparing volumetric parameters between healthy controls and type 1 diabetes patients using various FreeSurfer versions.T1- and T2-weighted structural scans of healthy controls and type 1 diabetes patients were processed with FreeSurfer 5.3, FreeSurfer 5.3 HCP, FreeSurfer 6.0 and FreeSurfer 7.1, followed by inter-group statistical comparison using outputs of individual FreeSurfer versions.Worryingly, FreeSurfer 5.3 detected both cortical and subcortical volume differences out of the preselected regions of interest, but newer versions such as FreeSurfer 5.3 HCP and FreeSurfer 6.0 reported only subcortical differences of lower magnitude and FreeSurfer 7.1 failed to find any statistically significant inter-group differences.Since group averages of individual FreeSurfer versions closely matched, in keeping with previous literature, the main origin of this disparity seemed to lie in substantially higher within-group variability in the model pathological condition. Ergo, until validation in common research scenarios as case-control comparison studies is included into the development process of new software suites, confirmatory analyses utilising a similar software based on analogous, but not fully equivalent principles, might be considered as supplement to careful quality control.

Abstract Hypoglycemia remains a limiting factor in the optimal treatment of type 1 diabetes (T1D). Repeated episodes of hypoglycemia result in impaired awareness of subsequent hypoglycemic events, inducing a vicious feed-forward cycle and increasing the risk of morbidity and mortality. Why this occurs and how to manage the problem in clinical practice remains uncertain. To address the obstacles and barriers that have hindered the progress in this clinically important area, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) convened a workshop on October 14-15, 2021. This perspective offers a summary of this outstanding meeting that brought clinical and basic scientists from the fields of diabetes, neuroscience, psychology, psychiatry, and imaging together how to consider how to best advance the field of impaired awareness of hypoglycemia and hypoglycemia in general in patients with diabetes.

OBJECTIVE Type 2 diabetes is a risk factor for cognitive impairment. We examined the relation of glycemia, lipids, blood pressure (BP), hypertension history, and statin use with cognition in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). RESEARCH DESIGN AND METHODS Cross-sectional analyses from GRADE at baseline examined the association of glycemia (hemoglobin A1c [HbA1c]), LDL, systolic BP (SBP) and diastolic BP (DBP), hypertension history, and statin use with cognition assessed by the Spanish English Verbal Learning Test, letter and animal fluency tests, and Digit Symbol Substitution Test (DSST). RESULTS Among 5,047 GRADE participants, 5,018 (99.4%) completed cognitive assessments. Their mean age was 56.7 ± 10.0 years, and 36.4% were women. Mean diabetes duration was 4.0 ± 2.7 years. HbA1c was not related to cognition. Higher LDL was related to modestly worse DSST scores, whereas statin use was related to modestly better DSST scores. SBP between 120 and 139 mmHg and DBP between 80 and 89 mmHg were related to modestly better DSST scores. Hypertension history was not related to cognition. CONCLUSIONS In people with type 2 diabetes of a mean duration of

Hypoglycaemia, which occurs when blood levels of glucose fall below what is considered a normal range, is a well-known complication of insulin therapy in individuals with type 1 diabetes mellitus. Despite advances in diabetes mellitus management, hypoglycaemia has continued to affect the majority of these individuals, leading to suboptimal care and decreased quality of life. Multiple epidemiological studies have demonstrated the risks associated with hypoglycaemic events. With this understanding, various advances have been made in therapeutics for diabetes mellitus management. Diabetes mellitus education continues to form the foundation for management and prevention of hypoglycaemia. The advent of newer diabetes mellitus technologies and newer insulins herald improvements in management strategies and hypoglycaemia prevention. Improved understanding of these newer approaches is needed to ensure delivery of safe and effective care to individuals with type 1 diabetes mellitus, leading to reductions in both the short-term and long-term morbidity and mortality associated with hypoglycaemic events.

Context Impaired awareness of hypoglycemia (IAH) is characterized by the diminished ability to perceive symptoms of hypoglycemia. Gold and Clark questionnaires are commonly used to identify patients with IAH. The relationship between IAH status on questionnaires and a person’s symptom and epinephrine responses to hypoglycemia are not well understood. Objective We aimed to examine the relationship between hypoglycemia awareness status on Clarke and Gold questionnaires with both hormonal and symptomatic responses to experimental hypoglycemia. Methods In this university medical center study, we examined data from 78 subjects with type 1 diabetes (T1D) who completed both questionnaires and underwent a hyperinsulinemic hypoglycemic clamp (target glucose 50 mg/dL). Results Clarke and Gold scores were highly correlated with one another (r = 0.82) and each had a moderate negative relationship with epinephrine (Clarke: r = -0.51, Gold: r = -0.50) and total symptom response (Clarke: r = −0.59, Gold: r = −0.57). However, 32% of the subjects were classified inconsistently by Clark vs Gold. A clustering analysis was done to examine how disagreement between the 2 questionnaires on IAH classification relates to epinephrine and symptoms responses during hypoglycemia. Subjects who had partial loss of symptoms or of epinephrine response were more likely to be classified inconsistently. Conclusion Our results show that IAH classification may be discordant between Clark and Gold questionnaires and that hypoglycemia awareness status on Clarke and Gold questionnaires poorly predicts hormonal and symptomatic responses to hypoglycemia in subjects with T1D and moderate blunting of symptoms or epinephrine.

Even though well known in type 2 diabetes, the existence of brain changes in type 1 diabetes (T1D) and both their neuroanatomical and clinical features are less well characterized. To fill the void in the current understanding of this disease, we sought to determine the possible neural correlate in long-duration T1D at several levels, including macrostructural, microstructural cerebral damage, and blood flow alterations. In this cross-sectional study, we compared a cohort of 61 patients with T1D with an average disease duration of 21 years with 54 well-matched control subjects without diabetes in a multimodal MRI protocol providing macrostructural metrics (cortical thickness and structural volumes), microstructural measures (T1-weighted/T2-weighted [T1w/T2w] ratio as a marker of myelin content, inflammation, and edema), and cerebral blood flow. Patients with T1D had higher T1w/T2w ratios in the right parahippocampal gyrus, the executive part of both putamina, both thalami, and the cerebellum. These alterations were reflected in lower putaminal and thalamic volume bilaterally. No cerebral blood flow differences between groups were found in any of these structures, suggesting nonvascular etiologies of these changes. Our findings implicate a marked nonvascular disruption in T1D of several essential neural nodes engaged in both cognitive and motor processing.

Context The epinephrine response (Epi) to a first episode of hypoglycemia (HG) has been proposed to be predictive of Epi in subsequent HG and to provide insight into the risk for developing HG-associated autonomic failure (HAAF) in healthy controls (HCs). Objective To determine if Epi and symptom response (SR) to the first episode of HG predicts who will develop HAAF after exposure to recurrent HG in volunteers with type 1 diabetes (T1D) and in HCs. Design Review of data collected between 2013 and 2019. Setting Academic clinical research unit. Patients or Participants Volunteers with T1D and HCs. Interventions Subjects participated in a preinduction protocol where they were exposed to three 2-hour episodes of clamped HG over 2 days. Data collected during clamp 1 were compared with data collected during clamp 3. Main outcome measure Difference in Epi and SR. Results Using the standard definition of HAAF in which HG-induced Epi during clamp 3 is at least 20% lower than during clamp 1, 21/28 HCs and 13/19 volunteers with T1D developed HAAF. Epi during clamp 1 was significantly higher in those subjects who developed HAAF than in those who did not in both groups (P = 0.02). If HAAF is defined as achieving a 20% reduction in HG-induced SR measured during clamp 3 compared with clamp 1, 10/27 HCs and 10/19 volunteers with T1D developed SR-based HAAF. Conclusion There was heterogeneity in the response to the preinduction protocol. Epi during clamp 1 was higher than in clamp 3 in HCs and in those with T1D who developed HAAF.

BACKGROUND: Studies examining whether measures of cognition are related to the presence of diabetic peripheral neuropathy (DPN) and/or cardiovascular autonomic neuropathy (CAN) are lacking, as are data regarding factors potentially explaining such associations. METHODS: Participants were from the Glycemia Reduction Approaches in Diabetes Study (GRADE) that examined 5047 middle-aged people with type 2 diabetes of

OBJECTIVE: In children with type 1 diabetes (T1D), severe hypoglycemia (SH) is associated with poorer cognition, but the association of SH with cognitive function in late life is unknown. Given the increasing life expectancy in people with T1D, understanding the role of SH in brain health is crucial. RESEARCH DESIGN AND METHODS: We examined the association between SH and cognitive function in 718 older adults with T1D from the Study of Longevity in Diabetes (SOLID). Subjects self-reported recent SH (previous 12 months) and lifetime history of SH resulting in inpatient/emergency department utilization. Global and domain-specific cognition (language, executive function, episodic memory, and simple attention) were assessed. The associations of SH with cognitive function and impaired cognition were evaluated via linear and logistic regression models, respectively. RESULTS: Thirty-two percent of participants (mean age 67.2 years) reported recent SH and 50% reported lifetime SH. Compared with those with no SH, subjects with a recent SH history had significantly lower global cognition scores. Domain-specific analyses revealed significantly lower scores on language, executive function, and episodic memory with recent SH exposure and significantly lower executive function with lifetime SH exposure. Recent SH was associated with impaired global cognition (odds ratio [OR] 3.22, 95% CI 1.30, 7.94) and cognitive impairment on the language domain (OR 3.15, 95% CI 1.19, 8.29). CONCLUSIONS: Among older adults with T1D, recent SH and lifetime SH were associated with worse cognition. Recent SH was associated with impaired global cognition. These findings suggest a deleterious role of SH on the brain health of older patients with T1D and highlight the importance of SH prevention.

AIM To evaluate the effect of final HbA1c levels on the incidences of hypoglycaemia in participants with type 1 diabetes treated with inhaled Technosphere® Insulin or subcutaneous insulin aspart, reported in alignment with the International Hypoglycaemia Study Group recommendations. METHODS In the randomized, phase 3, multicentre AFFINITY-1 study, adults (N = 375) who had type 1 diabetes for ≥ 12 months and an HbA1c level of 58-86 mmol/mol (7.5-10.0%) were randomized to receive basal insulin plus either inhaled Technosphere Insulin or subcutaneous insulin aspart. This was a post-hoc regression analysis on a subset (N = 279) of the randomized AFFINITY-1 cohort for whom baseline and end-of-treatment HbA1c values were reported. Primary outcome measures were incidence and event rates for levels 1, 2 and 3 hypoglycaemia, respectively defined as blood glucose levels of ≤ 3.9 mmol/l

Hypoglycemia is a frequent occurrence in patients with diabetes who are treated with insulin and insulin secretagogues. Hypoglycemia is the limiting factor that prevents patients from achieving the glycemic control known to reduce the microvascular complications of diabetes. Recurrent episodes of hypoglycemia can lead to impaired awareness of hypoglycemia where the first symptom of a low blood sugar is unconsciousness. The fear of hypoglycemia has a significant effect on the quality of life of patients and their families. In the acute setting, hypoglycemia can kill, and clinical trials have demonstrated that a single episode of severe hypoglycemia increases the risk of subsequent mortality and cardiovascular events. Clinicians must make efforts to recognize and prevent hypoglycemia in order to prevent the adverse events associated with this event. Patient education is central to these efforts. Recent developments in glucose monitoring and drug development have provided more approaches that can be used to reduce the risk of hypoglycemia in patients with diabetes.接受胰岛素与胰岛素促泌剂治疗的糖尿病患者常常会发生低血糖。目前已经很明确, 控制血糖可以减少糖尿病患者发生微血管并发症的风险, 但是低血糖却是阻碍患者达到血糖控制目标的限制性因素。反复发作的低血糖可导致患者对低血糖的感知受损, 此时低血糖的第一个症状就是意识丧失。对低血糖的恐惧对患者及其家属的生活质量都有显著的影响。在紧急环境低血糖还有可能致命, 临床试验表明, 一次严重的低血糖发作会增加随后的死亡率以及心血管事件的风险。为了防止低血糖相关不良事件的发生, 临床医生必须努力识别与预防低血糖。对患者教育是这些努力的核心。最近研制出了更多的血糖监测方法与治疗药物以减少糖尿病患者发生低血糖的风险。.

Even though well known in type 2 diabetes, the existence of brain changes in type 1 diabetes (T1D) and both their neuroanatomical and clinical features are less well characterized. To fill the void in the current understanding of this disease, we sought to determine the possible neural correlate in long-duration T1D at several levels including macrostructural, microstructural cerebral damage and blood flow alterations. In this cross-sectional study, we compared a cohort of 61 patients with T1D with an average disease duration of 21 years with 54 well-matched non-diabetic controls in a multimodal magnetic resonance imaging (MRI) protocol providing macrostructural metrics (cortical thickness and structural volumes), microstructural measures (T1w/T2w ratio as a marker myelin content, inflammation and oedema), and cerebral blood flow. T1D patients had higher T1w/T2w ratios in the right parahippocampal gyrus, the executive part of both putamina, both thalami and in the cerebellum. These alterations were reflected in lower putaminal and thalamic volume bilaterally. No cerebral blood flow differences between groups were found in any of these structures, suggesting non-vascular aetiologies of these changes. Our findings implicate a marked non-vascular disruption in T1D of several essential neural nodes engaged in both cognitive and motor processing.

Aim Administration of N‐acetyl cysteine (NAC) during hypoglycaemia will preserve the counterregulatory response to subsequent hypoglycaemia in healthy humans. Methods This was a randomized double‐blind cross over study where humans were given either a 60‐minute infusion of NAC (150 mg/kg) followed by a 4‐hour infusion of NAC (50 mg/kg) or saline starting 30 minutes before the initiation of a 2‐hour hypoglycaemic (HG) clamp at 8 am. After rest at euglycaemia for ~2 hours, subjects were exposed to a 2nd HG clamp at 2 pm and discharged home in euglycaemia. They returned the following day for a 3rd HG clamp at 8 am. Results Twenty‐two subjects were enrolled. Eighteen subjects completed the entire protocol. The epinephrine response during clamp 3 (171 ± 247 pg/mL) following clamp 1 NAC infusion was lower than the response during the clamp 1 NAC infusion (538 ± 392 pg/mL) (clamp 3 to clamp 1 NAC: P = .0013). The symptom response during clamp 3 (7 ± 5) following clamp 1 NAC infusion was lower than the response during the clamp 1 NAC infusion (16 ± 10) (clamp 3 to clamp 1 NAC: P = .0003). Nine subjects experienced rash, pruritus or nausea during NAC infusion. Conclusion We found no difference in the hormone and symptom response to experimental hypoglycaemia measured in subjects who were administered NAC as opposed to saline the day before. This observation suggests that further development of NAC as a therapy for impaired awareness of hypoglycaemia in patients with diabetes may be unwarranted., Infusion of the antioxidant N‐acetyl cysteine during hypoglycaemia in healthy humans did not preserve the counterregulatory response to hypoglycaemia the next day. This observation suggests that further development of NAC as a therapy for impaired awareness of hypoglycaemia in patients with diabetes may be unwarranted.

Background: Nasal glucagon (NG), a ready-to-use drug-device combination for treatment of severe hypoglycemia, contains 3 mg glucagon dry powder that is absorbed passively through nasal mucosa. We examined the efficacy and safety of NG compared to 1 mg injectable glucagon (IG) in reversing insulin-induced hypoglycemia in a global population of adults with T1D or T2D. Notably, this is the first analysis including pooled T2D data. Methods: Post-hoc analyses used data from 3 randomized, cross-over studies. Treatment success was defined as an increase in BG to ≥70 mg/dL or an increase of ≥20 mg/dL from nadir BG within 30 min of receiving glucagon. Tolerability was assessed using treatment-emergent adverse events and a symptom questionnaire. Results: In the T1D+T2D pooled analysis, 99.5% (213/214) of NG and 100% (214/214) of IG patients achieved treatment success in a mean time (preparation time excluded) of 13 and 11 min, respectively. All NG T2D patients (N=41) achieved treatment success. NG and IG induced similar BG changes (Figure). NG and IG had similar incidences of nausea and vomiting, with NG having a higher rate of side effects related to nasal administration [headache (13% NG, 7% IG), nasal discomfort (4% NG, 1% IG), etc.]. Separate T1D and T2D analyses showed similar results as T1D+T2D. Conclusion: NG was efficacious and well-tolerated in reversing insulin-induced hypoglycemia in adults with T1D or T2D. Disclosure E.R. Seaquist: Advisory Panel; Self; MannKind Corporation, Zucara Therapeutics Inc. Other Relationship; Self; American Board of Internal Medicine, Endocrine Society, International Hypoglycemia Study Group. K. Khunti: Advisory Panel; Self; Amgen, AstraZeneca, Bayer AG, Berlin-Chemie AG, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Menarini Group, Merck Sharp & Dohme Corp., Napp Pharmaceuticals, Novartis AG, Novo Nordisk A/S, Roche Pharma, Sanofi-Aventis, Servier. Board Member; Self; AstraZeneca, Eli Lilly and Company, Merck Sharp & Dohme Corp., Novo Nordisk A/S, Sanofi-Aventis. Consultant; Self; Amgen, AstraZeneca, Bayer AG, Berlin-Chemie AG, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Menarini Group, Merck Sharp & Dohme Corp., Napp Pharmaceuticals, Novartis AG, Novo Nordisk A/S, Roche Pharma, Sanofi-Aventis, Servier. Research Support; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Merck Sharp & Dohme Corp., Novartis AG, Novo Nordisk A/S, Pfizer Inc., Sanofi-Aventis, Servier. Speaker’s Bureau; Self; Amgen, AstraZeneca, Bayer AG, Berlin-Chemie AG, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Menarini Group, Merck Sharp & Dohme Corp., Napp Pharmaceuticals, Novartis AG, Novo Nordisk A/S, Roche Pharma, Sanofi-Aventis, Servier. M.X. Zhang: Employee; Self; Eli Lilly and Company. Stock/Shareholder; Self; Eli Lilly and Company. Q. Wang: Employee; Self; Eli Lilly and Company. Y. Takita: Employee; Self; Eli Lilly Japan K.K. C.J. Child: Employee; Self; Eli Lilly and Company. Stock/Shareholder; Self; Eli Lilly and Company. Y. Nagai: Employee; Self; Eli Lilly Japan K.K. Stock/Shareholder; Self; Eli Lilly and Company. Y. Yan: Employee; Self; Eli Lilly and Company. M. Matsuhisa: Research Support; Self; Daiichi Sankyo, Mitsubishi Tanabe Pharma Corporation, Novartis Pharma K.K., Novo Nordisk Inc., Sanofi, Sysmex Corporation. Speaker’s Bureau; Self; Astellas Pharma Inc., Eli Lilly Japan K.K., Merck Sharp & Dohme Corp., Mitsubishi Tanabe Pharma Corporation, Novo Nordisk Inc., Sanofi K.K., Takeda Pharmaceutical Company Limited. Funding Eli Lilly and Company

AIMS: The Glycemia Reduction Approaches in Diabetes - A Comparative Effectiveness (GRADE) trial is a randomized clinical trial comparing glycemic effects of four diabetes medications added to metformin in type 2 diabetes (T2D). Microvascular and macrovascular diseases are secondary outcomes. We evaluated the prevalence and risk factor relationships for microvascular and macrovascular complications in the GRADE cohort at study entry. METHODS: Complication prevalence and risk factors were analyzed based on data from screening in all consenting participants meeting GRADE eligibility. Logistic regression and Z-statistics were used to assess risk factor relationships with complications. RESULTS: We enrolled 5047 T2D participants [mean age 57 years; 36% female; mean knownT2D duration 4 years (all

In the present multicentre, open-label, prospective, phase III study, we evaluated the real-world effectiveness and ease of use of nasal glucagon (NG) in the treatment of moderate/severe hypoglycaemic events (HEs) in adults with type 1 diabetes (T1D). Patients and caregivers were taught how to use NG (3 mg) to treat moderate/severe HEs, record the time taken to awaken or return to normal status, and measure blood glucose (BG) levels over time. Questionnaires were used to collect information about adverse events and ease of use of NG. In the efficacy analysis population, 69 patients experienced 157 HEs. In 95.7% patients, HEs resolved within 30 minutes of NG administration. In all the 12 severe HEs, patients awakened or returned to normal status within 15 minutes of NG administration without additional external medical help. Most caregivers reported that NG was easy to use. Most adverse events were local and of low to moderate severity. In this study, a single, 3-mg dose of NG demonstrated real-life effectiveness in treating moderate and severe HEs in adults with T1D. NG was well tolerated and easy to use.

Hypoglycemia activates the counterregulatory response (CRR), a neural-endocrine reflex that restores euglycemia. Although effective if occasionally activated, repeated induction of the CRR leads to a decline in responsiveness and prolonged exposure to hypoglycemia. The mechanism underlying this impairment is not known. We found that the reduction in epinephrine release that characterizes a suppressed CRR involves a long-lasting form of sympatho-adrenal synaptic plasticity. Using optogenetically evoked catecholamine release, we show that recurrent hypoglycemia reduced the secretory capacity of mouse adrenal chromaffin cells. Single activation of the CRR increased the adrenal levels of tyrosine hydroxylase (TH), the rate-limiting enzyme for catecholamine synthesis, but this was prevented by repeated activation. In contrast, the level of neuropeptide Y (NPY), an adrenal cotransmitter, remained elevated after recurrent hypoglycemia. Inhibition of NPY or Y1 signaling, either transgenically or pharmacologically, prevented the attenuation of both TH expression and epinephrine release. These results indicate that impairment of the CRR involves suppressed activity at the adrenal level. Interfering with the peripheral NPY–dependent negative feedback loop may provide a way to avoid the pathophysiological consequences of recurrent hypoglycemia which are common in the diabetic state.

A fundamental understanding of glycogen structure, concentration, polydispersity and turnover is critical to qualify the role of glycogen in the brain. These molecular and metabolic features are under the control of neuronal activity through the interdependent action of neuromodulatory tone, ionic homeostasis and availability of metabolic substrates, all variables that concur to define the state of the system. In this chapter, we briefly describe how glycogen responds to selected behavioral, nutritional, environmental, hormonal, developmental and pathological conditions. We argue that interpreting glycogen metabolism through the lens of brain state is an effective approach to establish the relevance of energetics in connecting molecular and cellular neurophysiology to behavior.

The presence of missing data at the time of prediction limits the application of risk models in clinical and research settings. Common ways of handling missing data at the time of prediction include measuring the missing value and employing statistical methods. Measuring missing value incurs additional cost, whereas previously reported statistical methods results in reduced performance compared to when all variables are measured. To tackle these challenges, we introduce a new strategy, the MMTOP algorithm (Multiple models for Missing values at Time Of Prediction), which does not require measuring additional data elements or data imputation. Specifically, at model construction time, the MMTOP constructs multiple predictively equivalent risk models utilizing different risk factor sets. The collection of models are stored and to be queried at prediction time. To predict an individual’s risk in the presence of incomplete data, the MMTOP selects the risk model based on measurement availability for that individual from the collection of predictively equivalent models and makes the risk prediction with the selected model. We illustrate the MMTOP with severe hypoglycemia (SH) risk prediction based on data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study. We identified 77 predictively equivalent models for SH with cross-validated c-index of 0.77 ± 0.03. These models are based on 77 distinct risk factor sets containing 12–17 risk factors. In terms of handling missing data at the time of prediction, the MMTOP outperforms all four tested competitor methods and maintains consistent performance as the number of missing variables increase.

Impaired awareness of hypoglycemia (IAH) is common in diabetes. Administration of N-acetyl cysteine (NAC) during episodes of hypoglycemia (HG) prevents the development of IAH in rodents (Fioramonti 2013). Here we tested the hypothesis that NAC will be effective in preventing IAH in healthy humans using a double blind cross over study design where subjects received either NAC or saline (S) in random order on day 1 of a 2 day protocol that involved 3 HG clamps. On day 1, 350 mg NAC or S was given IV over 5 hours starting 30 min before start of IV insulin (2 mg/kg/min). Blood glucose (BG) was targeted at 50 mg/dl for 2 hours, then at 95 mg/dl for 2 hours, then 50 mg/dl for 2 hours. After BG recovery subjects were sent home to return on day 2 for a final 2-hour HG clamp. During the 1st and 3rd HG periods, serum epinephrine (EPI) and hypoglycemic symptoms (HSx) were collected. Subjects received 25 mg diphenhydramine IV at 0 and 4 hours due to a high occurrence of drug reactions. Additional doses or odansetron were given as needed. EPI during clamp 1 was higher during NAC compared to S but the HSx were the same. No difference was seen between subjects who did or did not have a reaction to NAC. EPI and HSx on day 2 following NAC were lower than on day 1 but no different from response measured following S on day 1. NAC elicited many adverse events, enhanced EPI during HG, and did not alter EPI or HSx during HG on day 2 compared to S. Further development of IV NAC as a therapy for IAH is unwarranted. Disclosure A. Moheet: None. A. Kumar: None. L. Coles: None. N. Rubin: None. L.E. Eberly: None. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company, Zucara Therapeutics Inc. Consultant; Self; 360 Consulting, MannKind Corporation. Research Support; Self; Eli Lilly and Company, JDRF, National Institutes of Health. Other Relationship; Self; American Diabetes Association, Sanofi, WebMD. Funding JDRF

In this study, we sought to determine by 3T MRI the cerebral blood flow (CBF) responses to hypoglycemia (HG) in nondiabetic controls exposed to either two euglycemic or two hypoglycemic clamps on the day before the MRI (EU- or HYPO-preconditioning, respectively). Under the belief that HYPO-preconditioning induces hypoglycemia-associated autonomic failure (HAAF) with blunting of the counter-regulatory hormone and symptom responses to HG (Arbelaez et al, 2008), we hypothesized that CBF responses after HYPO-preconditioning would resemble those reported in T1D subjects with impaired awareness of hypoglycemia (IAH) (Weigers et al, 2017). CBF was measured by arterial spin labeling during a 2-step hyperinsulinemic clamp [step 1 = 95 mg/dL normoglycemia (NG), step 2 = 50 mg/dL (HG)]. Symptom and counter-regulatory hormone were also measured. Full CBF datasets were obtained from 10 participants who underwent EU-preconditioning (7F/3M, age 37 ± 14 years, BMI 27.2 ± 3.7 kg/m2) and 9 who underwent HYPO-preconditioning (5F/4M, age 40 ± 14 years, BMI 26.2 ± 2.6 kg/m2). In contrast with our assumption, the HYPO-preconditioning did not induce blunting of symptom or counter-regulatory hormone responses to HG other than for glucagon (33 ± 19 and 14 ± 21 pg/mL for EU- and HYPO-preconditioning, respectively, p=0.04 uncorr). CBF responses did not differ between the two pre-conditionings, and resembled those reported in the literature in naïve nondiabetic controls (Weigers et al, 2017). In particular, the cortical grey matter CBF did not change during HG vs. NG for either the EU- or HYPO-preconditioning settings (1 ± 10% and 2 ± 10%, respectively), while thalamic CBF increased in both settings (21 ± 20%, p=0.012 corr, and 27 ± 30%, p=0.06 corr, respectively). We conclude that the preconditioning protocols should be used with caution in nondiabetic controls for investigating IAH, as the mechanisms of HAAF in T1D patients may be specific to their disease condition. Disclosure A. Canna: None. H. Grohn: None. D. Mascali: None. P. Filip: None. A. Moheet: None. A. Kumar: None. X. Li: None. E.A. Olawsky: None. L.E. Eberly: None. F. Esposito: None. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company, Zucara Therapeutics Inc. Consultant; Self; 360 Consulting, MannKind Corporation. Research Support; Self; Eli Lilly and Company, JDRF, National Institutes of Health. Other Relationship; Self; American Diabetes Association, Sanofi, WebMD. S. Mangia: None. Funding National Institutes of Health

Obesity is associated with alterations in brain structure and cognitive impairment. The mechanisms underlying obesity related decline in cognitive function are not well understood. Obesity related chronic systemic inflammation is postulated to be one of the potential mechanisms leading to cognitive dysfunction. It is unknown whether inflammation impacts brain areas important for higher level cognition such as the anterior cingulate cortex (ACC). Elevated myo-inositol (Ins), as measured by magnetic resonance spectroscopy (MRS), may be a marker of neuroinflammation and reflects activated astrocytes and microglia. We hypothesized that obese subjects (OB) will have higher ACC Ins compared to normal weight controls (CON) and that higher Ins will be associated with elevated blood inflammatory markers and reduced cognitive performance. We examined neurochemical profile from a 24x24x12mm3 voxel over the ACC using 1H MRS at 3 and 7 Tesla (T), in 5 nondiabetic OB (age 33 ± 5 years, BMI 43 ± 6 kg/m2) and 4 CON (age 36 ± 3 years, BMI 23 ± 3 kg/m2). Subjects also underwent cognitive testing and measurement of blood inflammatory markers. MR spectra were quantified using LCModel and the concentrations are expressed as a ratio to total creatine (tCr). There was a strong trend of higher Ins/tCr in ACC in OB compared to CON both at 3T (0.96 ± 0.06 vs. 0.88 ± 0.05, p =0.07) and 7T (0.91 ± 0.07 vs. 0.83 ± 0.08, p =0.17). Pearson correlations were used to test the relationship between Ins/tCr and markers of inflammation among all subjects. Higher blood inflammatory markers were associated with higher Ins/tCr (3T) in ACC (CRP, r=.74, p= 0.04; TNF α, r=.89, p=0.003) and with low levels of crystallized ability as measured by the NIH Toolbox Cognition Battery (CRP, r=-.73, p=0.03). Higher ACC Ins/tCr was also associated with poorer performance on a measure of fine motor coordination (r=.93, p=0.001). These data support the hypothesis that inflammation may contribute to the pathogenesis of brain and cognitive alterations in obesity. Disclosure A. Khan: None. J.M. Joers: None. M. Luciana: None. N. Rubin: None. Y. Siddiqui: None. S. Mangia: None. L.E. Eberly: None. S. Ikramuddin: Research Support; Self; Medtronic. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company, Zucara Therapeutics Inc. Consultant; Self; 360 Consulting, MannKind Corporation. Research Support; Self; Eli Lilly and Company, JDRF, National Institutes of Health. Other Relationship; Self; American Diabetes Association, Sanofi, WebMD. G. Oz: None. A. Moheet: None. Funding National Institutes of Health

The mechanisms of how recurrent hypoglycemia (HG) leads to impaired awareness of HG (IAH) remain elusive. Cortical glutamate (Glu) dynamics may be involved, as Glu levels were shown to decrease during HG in healthy controls and in patients with type 1 diabetes (T1D) and normal awareness of HG (T1D-NAH), but not in patients with IAH. While these data supported an association between blunted Glu response to HG and IAH, whether recurrent HG causes a blunting of the Glu response to HG remains unclear. We measured the neurochemical response to HG before and after induction of IAH in T1D-NAH patients undergoing four 2-hour HG clamps over 2 days. 1H-magnetic resonance spectroscopy at 7 tesla was used to measure Glu levels in the anterior cingulate cortex (ACC, 24x12x30 mm3) during the first (C1) and fourth clamps (C4), before and after induction of IAH, respectively. We focused on the ACC as differences in PET-measured glucose kinetics in ACC were associated with IAH. Epinephrine and symptom responses to HG during C1 and C4 confirmed induction of IAH. Glu levels significantly decreased in response to HG during C1, but not during C4. Glucose+Taurine (reported as sum due to cross-correlation) dropped by 40% with HG in C1, whereas it dropped by 32% in C4. We show that recurrent HG blunts the cortical Glu response to HG, which may be due to higher glucose or alternative fuel availability, eliminating the need to oxidize Glu. Disclosure Y. Park: None. D. Deelchand: None. A. Kumar: None. A. Moheet: None. Y. Zhang: None. L.E. Eberly: None. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company, Zucara Therapeutics Inc. Consultant; Self; 360 Consulting, MannKind Corporation. Research Support; Self; Eli Lilly and Company, JDRF, National Institutes of Health. Other Relationship; Self; American Diabetes Association, Sanofi, WebMD. G. Oz: None. Funding National Institutes of Health (R01NS035192, P41EB015894, P30NS076408)

A fundamental understanding of glycogen structure, concentration, polydispersity and turnover is critical to qualify the role of glycogen in the brain. These molecular and metabolic features are under the control of neuronal activity through the interdependent action of neuromodulatory tone, ionic homeostasis and availability of metabolic substrates, all variables that concur to define the state of the system. In this chapter, we briefly describe how glycogen responds to selected behavioral, nutritional, environmental, hormonal, developmental and pathological conditions. We argue that interpreting glycogen metabolism through the lens of brain state is an effective approach to establish the relevance of energetics in connecting molecular and cellular neurophysiology to behavior.

Objective The association of renal dysfunction with tests of cognition in type 2 diabetes has been examined in individuals with moderate and advanced renal disease. Here we examine the association of renal dysfunction with tests of cognition in a cohort of middle-aged adults with short duration diabetes (mean 4.0 ± 2.8 years). Methods Baseline data were examined from the Glycemia Reduction Approaches in Diabetes (GRADE) study (n = 4998). Renal dysfunction was defined by the presence of albumin in the urine or by estimated glomerular filtration rate (eGFR). Cognition was assessed with the Spanish English Verbal Learning Test, Letter and Animal fluency tests, and the Digit Symbol Substitution Test. Results Participants with albuminuria or eGFR Conclusion In type 2 diabetes of short duration, there are already subtle deficiencies in markers of cognition in association with renal disease in middle aged adults.

Objective Evaluate the effect of medications and medication changes during the Diabetes and Periodontal Therapy Trial (DPTT) on the primary study outcome, namely, change in hemoglobin A1c (HbA1c) at 6 months following baseline. Methods The DPTT set strict criteria for changes in diabetes medications. Medication change was defined as: change in dose of any 1 oral hypoglycemic agent by more than two-fold, change in dose of insulin of > 10% and/or addition or subtraction of an oral hypoglycemic agent, insulin or non-insulin injectable agents. Comparisons between the treatment (non- surgical periodontal therapy) and control (no therapy) groups used t-tests for continuous variables and chi-square tests for categorical variables, including DPTT defined diabetes medication changes between baseline (BL) and 3 month visits and 3- and 6-month visits. Changes in HbA1c were compared across the four medication change categories using ANOVA models, overall and for each treatment group separately. Results Baseline medication use was similar between the treatment groups (p > 0.40), as were medication changes between BL- 3 month visits and 3 and 6 month visits (p = 0.58). Participants with higher BL HbA1c (> 8%) and those taking insulin at BL were more likely to have a change in medication (p = 0.03). Conclusions The DPTT had the most rigorous definition of medication changes and medication monitoring of any trial in this field to date. The absence of a significant difference in medication changes between treatment groups may suggest that such changes did not play a role in the negative outcome of the DPTT.

PURPOSE To evaluate the feasibility of using a clinical magnetic resonance (MR) system and MR spectroscopy (MRS) to measure glucose concentration changes in the human hypothalamus, a structure central to whole-body glucose regulation. SUBJECTS AND METHODS A time series of MR spectra (semi-LASER, TE = 28 msec), localized to the bilateral hypothalamus (∼1.6 ml) were obtained at 3T in six healthy subjects at baseline (euglycemia) and during a ∼65-70-minute-long hyperglycemic clamp in 11-minute blocks with interleaved T1 FLASH images to retrospectively assess head motion, and track changes in cerebrospinal fluid (CSF) partial volume. The LCModel was used to quantify the sum of glucose and taurine concentrations, [Glc+Tau], along with their associated Cramer-Rao lower bounds (CRLB). RESULTS Spectral quality allowed quantification of [Glc+Tau] (sum reported due to high negative correlation between these metabolites) with CRLB

OBJECTIVE In the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, ∼4 years of intensive versus standard glycemic control in participants with type 2 diabetes and other cardiovascular risk factors had a neutral effect on the composite cardiovascular outcome, increased cardiovascular and total mortality, and reduced nonfatal myocardial infarction. Effects of the intervention during prolonged follow-up were analyzed. RESEARCH DESIGN AND METHODS All surviving ACCORD participants were invited to participate in the ACCORD Follow-on (ACCORDION) study, during which participants were treated according to their health care provider’s judgment. Cardiovascular and other health-related outcomes were prospectively collected and analyzed using an intention-to-treat approach according to the group to which participants were originally allocated. RESULTS A total of 8,601 people, representing 98% of those who did not suffer a primary outcome or death during the ACCORD trial, were monitored for a median of 8.8 years and a mean of 7.7 years from randomization. Intensive glucose lowering for a mean of 3.7 years had a neutral long-term effect on the primary composite outcome (nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death), death from any cause, and an expanded composite outcome that included all-cause death. Moreover, the risk of cardiovascular mortality noted during the active phase (hazard ratio 1.49; 95% CI 1.19, 1.87; P < 0.0001) decreased (HR 1.20; 95% CI 1.03, 1.39; P = 0.02). CONCLUSIONS In high-risk people with type 2 diabetes monitored for 9 years, a mean of 3.7 years of intensive glycemic control had a neutral effect on death and nonfatal cardiovascular events but increased cardiovascular-related death.

Supercompensated brain glycogen levels may contribute to the development of hypoglycemia-associated autonomic failure (HAAF) following recurrent hypoglycemia (RH) by providing energy for the brain during subsequent periods of hypoglycemia. To assess the role of glycogen supercompensation in the generation of HAAF, we estimated the level of brain glycogen following RH and acute hypoglycemia (AH). After undergoing 3 hyperinsulinemic, euglycemic and 3 hyperinsulinemic, hypoglycemic clamps (RH) on separate occasions at least 1 month apart, five healthy volunteers received [1-13C]glucose intravenously over 80+ h while maintaining euglycemia. 13C-glycogen levels in the occipital lobe were measured by 13C magnetic resonance spectroscopy at ∼8, 20, 32, 44, 56, 68 and 80 h at 4 T and glycogen levels estimated by fitting the data with a biophysical model that takes into account the tiered glycogen structure. Similarly, prior 13C-glycogen data obtained following a single hypoglycemic episode (AH) were fitted with the same model. Glycogen levels did not significantly increase after RH relative to after euglycemia, while they increased by ∼16% after AH relative to after euglycemia. These data suggest that glycogen supercompensation may be blunted with repeated hypoglycemic episodes. A causal relationship between glycogen supercompensation and generation of HAAF remains to be established.

CONTEXT: Longstanding type 1 diabetes (T1D) may lead to alterations in hippocampal neurochemical profile. Upregulation of hippocampal glucose transport as a result of recurrent exposure to hypoglycemia may preserve cognitive function during future hypoglycemia in subjects with T1D and impaired awareness of hypoglycemia (IAH). The effect of T1D on hippocampal neurochemical profile and glucose transport is unknown. OBJECTIVE: To test the hypothesis that hippocampal neurochemical composition is altered in T1D and glucose transport is upregulated in T1D with IAH. DESIGN AND PARTICIPANTS: Hippocampal neurochemical profile was measured with single-voxel magnetic resonance spectroscopy at 3T during euglycemia in 18 healthy controls (HC), 10 T1D with IAH, and 12 T1D with normal awareness to hypoglycemia (NAH). Additionally, 12 HC, 8 T1D-IAH, and 6 T1D-NAH were scanned during hyperglycemia to assess hippocampal glucose transport with metabolic modeling. SETTING: University medical center. MAIN OUTCOME MEASURES: Concentrations of hippocampal neurochemicals measured during euglycemia and ratios of maximal transport rate to cerebral metabolic rate of glucose (T(max)/CMR(Glc)), derived from magnetic resonance spectroscopy–measured hippocampal glucose as a function of plasma glucose. RESULTS: Comparison of hippocampal neurochemical profile revealed no group differences (HC, T1D, T1D-IAH, and T1D-NAH). The ratio T(max)/CMR(Glc) was not significantly different between the groups, T1D-IAH (1.58 ± 0.09) and HC (1.65 ± 0.07, P = 0.54), between T1D-NAH (1.50 ± 0.09) and HC (P = 0.19), and between T1D-IAH and T1D-NAH (P = 0.53). CONCLUSIONS: Subjects with T1D with sufficient exposure to recurrent hypoglycemia to create IAH did not have alteration of T(max)/CMR(glc) or neurochemical profile compared with participants with T1D-NAH or HC.

Glucose homeostasis requires an organism to rapidly respond to changes in plasma glucose concentrations. Iatrogenic hypoglycemia as a result of treatment with insulin or sulfonylureas is the most common cause of hypoglycemia in humans and is generally only seen in patients with diabetes who take these medications. The first response to a fall in glucose is the detection of impending hypoglycemia by hypoglycemia-detecting sensors, including glucose-sensing neurons in the hypothalamus and other regions. This detection is then linked to a series of neural and hormonal responses that serve to prevent the fall in blood glucose and restore euglycemia. In this review, we discuss the current state of knowledge about central glucose sensing and how detection of a fall in glucose leads to the stimulation of counterregulatory hormone and behavior responses. We also review how diabetes and recurrent hypoglycemia impact glucose sensing and counterregulation, leading to development of impaired awareness of hypoglycemia in diabetes.

Aim Although regular human U‐500 insulin (U‐500) is frequently used for insulin resistant type 2 diabetics, pharmacokinetic and pharmacodynamic studies in these individuals are lacking. We set out to determine the rate of onset, duration of action and total glucose lowering effect of two doses of U‐500 insulin in obese insulin resistant subjects with type 2 diabetes. Materials and Methods Randomized double‐blind crossover study was designed to study subjects who were administered either 100 or 200 units SQ of U‐500 insulin once and then were provided intravenous glucose as necessary to maintain euglycaemia. Results A total of 12 subjects were studied. The time during which intravenous glucose was required to maintain euglycaemia following a 200‐unit dose of U‐500 insulin was significantly greater than the time following a 100‐unit dose. No differences were found between doses in measures related to the rate of onset or in the total amount of intravenous glucose required to maintain euglycaemia for the duration of the study. Conclusions The duration of action of U‐500 increases when dose is increased from 100 to 200 units. Neither dose of U‐500 insulin has an onset of action before 2.5 hours after administration. This suggests that U‐500 should not be used as a premeal bolus insulin to lower glucose two hours after a meal and that dosing intervals might need to be extended as dose is increased to avoid hypoglycaemia.

ObjectiveWe constructed a predictive model of long-term risk for severe hypoglycemia (SH: hypoglycemia requiring assistance) in patients with type 2 diabetes (T2DM).Research design and methodsData from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study (original n=10 251, n=5135 used in the current analysis), a randomized, multicenter, double 2×2 factorial design study examining the effect of glycemic, blood pressure, and lipid control on cardiovascular outcomes in patients with diagnosed T2DM, were used. Over the follow-up (3.76±1.12 years), the ACCORD participants experienced 607 incident SH events. Cox regression was used to identify the SH risk prediction model.ResultsWe identified 17 predictors—glycemic management, age, race, education, waist circumference, medications (insulin, antihypertensive, HMG-CoA reductase inhibitors, sulfonylurea, biguanide and meglitinide), years since diabetes diagnosis, history of hypoglycemia in the last week, systolic blood pressure, diastolic blood pressure, serum creatinine, and urinary albumin creatinine ratio—to construct a prediction model for SH (c-statistic=0.782). Using this information, we derived point scores to estimate the 5-year risk for SH in individual patients with T2DM. After adjusting for other variables in the model, the three strongest predictors for SH over 5 years were intensive glycemic management (HR=2.37, 95% CI 1.99 to 2.83), insulin use (HR=2.14, 95% CI 1.77 to 2.59), and antihypertensive medication use (HR=1.90, 95% CI 1.26 to 2.86).ConclusionUsing the ACCORD data, we identified attributes to predict 5-year risk of SH in patients with T2DM, which warrant evaluation in broader populations to determine applicability.

IAH occurs in up to 1/3 of adults with T1D and it increases the risk of severe hypoglycemia (SH).Studies demonstrate that using CGM reduces the time spent in hypoglycemia (HG), but the effect of CGM on reversing IAH is not clear. We have enrolled many study subjects with T1D and IAH over the years and recently contacted them to determine how many continue to have IAH, how many have used CGM, and if there is a correlation between CGM use and restoration of HG awareness. Thirty six with T1D and IAH according to the Clarke/Cox questionnaire (CC) administered 2009-2015 were contacted to complete an online survey that included the CC, the Gold questionnaire, and questions about their diabetes. 12 M, 11 F responded. One had an islet cell transplant and was excluded. Median duration was 36 ± 12 years, mean age was 50 ± 12 years and the median HgB A1C was 6.8 ± 1%. Persistent IAH defined by both questionnaires was typical. Nineteen of 22 classified as IAH on the current survey reported severe HG over the last 6 mo. While there was a trend that showed consistent use of CGM was higher among people with no episodes of severe HG over the last 6 months this was not statistically significant. These observations show that persistent IAH is common in T1D. While the consistent use of CGM among our participants was high it did not translate into restoration of HG awareness in this population. Consistent use of CGM defined as more than 75% of the time over the last six monthsNo consistent use of CGMParticipants with persistent IAH (n = 18/22 using Gold)126Participants with persistent IAH (n = 19/22 using Cox)137Participants without persistent IAH (n= 4/22 using Gold)22Participants without persistent IAH (n= 3/22 using Cox)12Participants with severe HG in 6 months before survey (n = 19/22)118Participants without severe HG in 6 months before survey (n = 3/22)21 Disclosure K. Zekarias: None. A. Moheet: None. A. Kumar: None. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company, Sanofi, Zucera, InfoMed, 360 consulting. Other Relationship; Self; Novo Nordisk Inc..

Impaired awareness of hypoglycemia (IAH) is characterized by the diminished ability to perceive symptoms of HG. Gold and Clark questionnaires are commonly used in research to identify patients with IAH. However, the relationship between IAH status on questionnaires and the symptom and counterregulatory (CR) hormone responses to HG are not well understood. In this study, we examined data from 51 research subjects with T1D who completed both questionnaires and underwent a hyperinsulinemic hypoglycemic clamp (target glucose 50 mg/dL) on the same day. Clarke and Gold scores were highly correlated with one another (r = 0.78) and each had a similar relationship with epinephrine (EPI) response during HG (Clarke: r = -0.46, Gold: r = -0.53) and symptom response (Clarke: r = -0.60, Gold: r = -0.52). However, Clarke and Gold disagreed on classification of HG awareness status (misclassification=37%, Cohen’s κ=0.54). Clarke classifications were: 26 Aware (A), 13 Indeterminate (I), 12 Unaware (U), whereas Gold classifications were 16 A, 15 I, and 20 U. A mixture model based clustering identified 3 patterns in joint EPI and symptom responses. Cluster 1 subjects (n=10) had low symptom ( Disclosure N. Rubin: None. A. Moheet: None. L.E. Eberly: None. A. Kumar: None. S. Mangia: None. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company, Sanofi, Zucera, InfoMed, 360 consulting. Other Relationship; Self; Novo Nordisk Inc..

IAH occurs commonly in patients with T1D but its pathogenesis remains uncertain. Previous investigation has suggested that recurrent hypoglycemia leads to an upregulation of brain glucose transport thereby assuring that the brain will have better fuel delivery during subsequent episodes of hypoglycemia. If so, subjects with T1D and IAH should have higher hypothalamic brain glucose concentrations than subjects with T1D without IHA when studied at the same level of glycemia. Here we used 1H-magnetic resonance spectroscopy at 7 T to measure (Glucose+Taurine)/ total Creatine in a 13x12x10 mm3 hypothalamic voxel in such patient groups while they were maintained at euglycemia and then hypoglycemia using a glucose clamp. Since taurine and creatine do not change with glycemia, this is a valid measure of brain glucose concentrations. IAH was defined using the Clarke questionnaire with subjects found indeterminate further classified using the Gold questionnaire. We found that hypothalamic (Glucose+Taurine)/ total Creatine was significantly higher in T1D with IAH at both euglycemia and hypoglycemia when compared to T1D without IAH. These data support the hypothesis that a change in glucose transport may contribute to the pathogenesis of IAH. T1D with IAH (n=9)T1D without IAH (n=9)Age (years)47.6 ± 1729.2 ± 8Hemoglobin A1c (%)7.3 ± 0.97.3 ± 0.7Glycemia at euglycemia (mg/dl)98 ± 495 ± 7Glycemia during hypoglycemia (mg/dl)48 ± 348 ± 5Epinephrine during hypoglycemia (pg/ml)250 ± 155711±442*Symptom score during hypoglycemia8 ± 936 ± 14**Hypothalamic glucose at euglycemia (Glucose+Taurine)/ total Creatine (mM)0.43 ± 0.110.27 ± 0.08**Hypothalamic glucose at hypoglycemia (Glucose+Taurine)/ total Creatine (mM)0.23 ± 0.040.15 ± 0.02***p=0.03, **p < 0.001. Disclosure A. Moheet: None. D. Deelchand: None. A. Kumar: None. G. Oz: Research Support; Self; Takeda Pharmaceuticals U.S.A., Inc. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company, Sanofi, Zucera, InfoMed, 360 consulting. Other Relationship; Self; Novo Nordisk Inc..

Microvascular and macrovascular complications drive morbidity, mortality, and health care costs in type 2 diabetes (T2D). The GRADE trial enrolled 5047 participants with T2D 2), 5.1% for myocardial infarction (self-report); and 2.0% for stroke (self-report). The Table describes age- and sex-adjusted associations between individual risk factors and complications as odds ratios comparing the presence vs. absence of the complication. Notable features include associations of HbA1c, obesity and blood pressure with micro- but not macrovascular disease; association of triglycerides with microvascular disease only; and associations of smoking and HDL with both micro- and macrovascular disease. These data reveal unexpected patterns in the clustering of risk factors with complications in GRADE patients with short T2D duration. ACR≥30eGFR2MIStrokeORpORpORpORpORpORpHBA1C at screening (%)1.0380.30660.6580.00300.8370.28541.0940.00170.9960.95910.9370.5605BMI (kg/m2)1.040 Disclosure K.J. Mather: Research Support; Self; Merck & Co., Inc., Sanofi-Aventis, Novo Nordisk A/S, Abbott. Advisory Panel; Self; Merck & Co., Inc. R. Pop-Busui: Research Support; Self; AstraZeneca. I. Bebu: None. C. Baker: None. R.M. Cohen: Stock/Shareholder; Self; Bristol-Myers Squibb Company. J.P. Crandall: None. C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi. Research Support; Self; Merck & Co., Inc.. Advisory Panel; Self; Medscape. J.B. Green: Consultant; Self; Merck Sharp & Dohme Corp.. Research Support; Self; AstraZeneca. Consultant; Self; Daiichi Sankyo Company, Limited. Research Support; Self; GlaxoSmithKline plc., Intarcia Therapeutics, Inc.. Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Novo Nordisk Inc. M. Kirkman: Research Support; Self; Bayer AG, Theracos, Inc.. Consultant; Self; National Institutes of Health. Research Support; Self; National Institutes of Health, Centers for Disease Control and Prevention. H. Krause-Steinrauf: None. M.E. Larkin: None. J. Pettus: Advisory Panel; Self; Sanofi, Novo Nordisk Inc.. Consultant; Self; MannKind Corporation. Advisory Panel; Self; Insulet Corporation. Consultant; Self; Senseonics. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company, Sanofi, Zucera, InfoMed, 360 consulting. Other Relationship; Self; Novo Nordisk Inc.. E.Z. Soliman: None. E.B. Schroeder: None. D.J. Wexler: None. G. Research Group: Research Support; Self; National Institute of Diabetes and Digestive and Kidney Diseases, National Heart, Lung, and Blood Institute. Other Relationship; Self; Bristol-Myers Squibb Company, Merck & Co., Inc., Novo Nordisk Inc., Sanofi-Aventis, Roche Diagnostics Corporation, Becton, Dickinson and Company, Centers for Disease Control and Prevention, National Diabetes Education Program.

Practitioners often consider using U500 regular insulin (U500) in obese patients with T2DM who take >100 units of insulin/day. To compare the pharmacodynamic effects of 2 doses of U500 in such patients, we did a randomized double blind cross over study in which 100 or 200 units (U) SQ of U500 was given once and IV glucose was then given as necessary to maintain euglycemia (EU). Subjects stopped their own insulin at least 12 hours before the U500 dose and were kept on an insulin drip overnight to target EU. Subjects were NPO for 8 hours before and 4 hours after U500 dosing. Meals with 30 gm of carbohydrate were given at hours 4, 9, 13, 26, 30. Rate of U500 onset was determined by measuring the area under the curve (AUC) of IV glucose given hours 0-4, the peak infusion rate achieved hours 0-4, and the time at which IV glucose was started. Duration of action was determined by measuring the time IV glucose was required to maintain EU. The effect of the each dose on glucose lowering was determined by measuring the AUC of the IV glucose given to maintain EU for the entire study. 3F, 9M completed the study (age 54 ± 5 years, BMI 36.0 ± 3.3 kg/m2, total daily insulin dose 174 ± 40 units, mean ± SD). We conclude the duration of action of U500 is longer following administration 200 vs. 100. However, no differences were found in rate of onset or total amount of glucose required to maintain EU. Future studies should examine the pharmacodynamics of repeated doses of U500 in similar subjects. {6E9A1FC8-900A-4232-972F-0B0D186440A8}Dose100 units U500200 units U500Total glucose given 0-4 hours after U500 dose (mg/kg)5.3 ± 6.54.7 ± 5.6Peak infusion rate achieved 0-4 hours after U500 (mg/kg/min)5.3 ± 3.84.2 ± 1.9Time following injection the glucose infusion was started to maintain EU (hours)2.6 ± 1.32.2 ± 1.0Duration of action (hours)11.0 ± 5.616.5 ± 6.4p=0.031Total glucose required to maintain euglycemia (mg/kg)18.5 ± 20.720.1± 13.3 Disclosure A. Kumar: None. R.T. Shrestha: None. A.S. Taddese: None. A. Moheet: None. A. Khowaja: None. E.A. Olawsky: None. L.E. Eberly: None. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company, Sanofi, Zucera, InfoMed, 360 consulting. Other Relationship; Self; Novo Nordisk Inc..

Summary Hypoglycaemia has long been recognised as a dangerous side-effect of treatment of diabetes with insulin or insulin secretagogues. With its potential to disrupt cerebral function, hypoglycaemia can have a major effect on peoples' lives. Study findings have suggested that hypoglycaemia is associated with an increased risk of cardiovascular events and mortality. Different mechanisms by which hypoglycaemia might provoke cardiovascular events have been identified in experimental studies, and in clinical studies cardiac arrhythmias have been reported to be induced by hypoglycaemia, with one report describing sudden death during a severe episode. Emerging evidence suggests that the association between hypoglycaemia and cardiovascular events and mortality is likely to be multifactorial. The association is probably partly caused by confounding, with hypoglycaemia occurring more frequently in people with comorbidities who are also more likely to die than those without. However, people with type 1 or type 2 diabetes also seem at risk of hypoglycaemia-induced cardiovascular effects. This risk should be recognised by clinicians when agreeing glycaemic goals with patients and choosing appropriate glucose-lowering therapies.

OBJECTIVE Appropriate glycemic control is fundamental to diabetes care, but aggressive glucose targets and intensive therapy may unintentionally increase episodes of hypoglycemia. We quantified the burden of severe hypoglycemia requiring medical intervention in a well-defined population of insured individuals with diabetes receiving care in integrated health care delivery systems across the U.S. RESEARCH DESIGN AND METHODS This observational cohort study included 917,440 adults with diabetes receiving care during 2005 to 2011 at participating SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) network sites. Severe hypoglycemia rates were based on any occurrence of hypoglycemia-related ICD-9 codes from emergency department or inpatient medical encounters and reported overall and by age, sex, comorbidity status, antecedent A1C level, and medication use. RESULTS Annual rates of severe hypoglycemia ranged from 1.4 to 1.6 events per 100 person-years. Rates of severe hypoglycemia were higher among those with older age, chronic kidney disease, congestive heart failure, cardiovascular disease, depression, and higher A1C levels, and in users of insulin, insulin secretagogues, or β-blockers (P < 0.001 for all). Changes in severe hypoglycemia occurrence over time were not clinically significant in the cohort as a whole but were observed in subgroups of individuals with chronic kidney disease, congestive heart failure, and cardiovascular disease. CONCLUSIONS Risk of severe hypoglycemia in clinical settings is considerably higher in identifiable patient subgroups than in randomized controlled trials. Strategies that reduce the risk of hypoglycemia in high-risk patients are needed.

Aims Impaired awareness of hypoglycemia (IAH) is a limiting factor in the treatment of type 1 diabetes (T1D) and is a challenging condition to reverse. The objective of this study was to test the hypothesis that naltrexone therapy in subjects with T1D and IAH will improve counterregulatory hormone response and recognition of hypoglycemia symptoms during hypoglycemia. Methods We performed a pilot randomized double blind trial of 4weeks of naltrexone therapy (n=10) or placebo (n=12) given orally in subjects with T1D and IAH. Outcome measures included hypoglycemia symptom scores, counterregulatory hormone levels and thalamic activation as measured by cerebral blood flow using MRI during experimental hypoglycemia in all subjects before and after 4weeks of intervention. Results After 4weeks of therapy with naltrexone or placebo, no significant differences in response to hypoglycemia were seen in any outcomes of interest within each group. Conclusions In this small study, short-term treatment with naltrexone did not improve recognition of hypoglycemia symptoms or counterregulatory hormone response during experimental hypoglycemia in subjects with T1D and IAH. Whether this lack of effect is related to the small sample size or due to the dose, the advanced stage of study population or the drug itself should be the subject of future investigation.

BACKGROUND There are no proven strategies to prevent atrial fibrillation (AF) in patients with type 2 diabetes (T2DM). We compared standard blood pressure (BP) lowering vs. intensive BP lowering in reducing incidence of AF or P-wave indices (PWI-ECG markers of left atrial abnormality that are considered intermediate phenotypes of AF) in patients with T2DM. METHODS We analyzed data from the ACCORD BP trial-a randomized controlled nonblinded trial (2001-2009) which randomized patients with T2DM and systolic BP (SBP) 130-180mm Hg on ≤3 antihypertensive medications aged 40-79 years with cardiovascular disease (CVD) or aged 55-79 years with subclinical CVD or ≥2 CVD risk factors to standard BP lowering (SBP

Aims and hypothesis In patients with Type 2 diabetes, intensive glycaemic control is associated with hypoglycaemia and possibly increased mortality. However, no blood biomarkers exist to predict these outcomes. Using participants from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study, we hypothesized that insulin deficiency and islet autoantibodies in patients with clinically diagnosed Type 2 diabetes would be associated with severe hypoglycaemia and death. Methods A nested case–control study design was used. A case (n = 86) was a participant who died with at least one episode of severe hypoglycaemia, defined as hypoglycaemia requiring assistance, at any point during ACCORD follow-up. A control (n = 344) was a participant who did not die and did not have severe hypoglycaemia during follow-up. Each case was matched to four controls (glycaemic intervention arm, race, age and BMI). Baseline insulin deficiency (fasting C–peptide ≤ 0.15 nmol/l) and islet autoantibodies [glutamic acid decarboxylase (GAD), tyrosine phosphatase-related islet antigen 2 (IA2), insulin (IAA) and zinc transporter (ZnT8)] were measured. Conditional logistic regression with and without adjustment for age, BMI and diabetes duration was used. Results Death during ACCORD in those who experienced at least one episode of severe hypoglycaemia was associated with insulin deficiency [OR 4.8 (2.1, 11.1): P

Glycogen provides an important glucose reservoir in the brain since the concentration of glucosyl units stored in glycogen is several fold higher than free glucose available in brain tissue. We have previously reported 3-4 µmol/g brain glycogen content using in vivo (13)C magnetic resonance spectroscopy (MRS) in conjunction with [1-(13)C]glucose administration in healthy humans, while higher levels were reported in the rodent brain. Due to the slow turnover of bulk brain glycogen in humans, complete turnover of the glycogen pool, estimated to take 3-5 days, was not observed in these prior studies. In an attempt to reach complete turnover and thereby steady state (13)C labeling in glycogen, here we administered [1-(13)C]glucose to healthy volunteers for 80 h. To eliminate any net glycogen synthesis during this period and thereby achieve an accurate estimate of glycogen concentration, volunteers were maintained at euglycemic blood glucose levels during [1-(13)C]glucose administration and (13)C-glycogen levels in the occipital lobe were measured by (13)C MRS approximately every 12 h. Finally, we fitted the data with a biophysical model that was recently developed to take into account the tiered structure of the glycogen molecule and additionally incorporated blood glucose levels and isotopic enrichments as input function in the model. We obtained excellent fits of the model to the (13)C-glycogen data, and glycogen content in the healthy human brain tissue was found to be 7.8 ± 0.3 µmol/g, a value substantially higher than previous estimates of glycogen content in the human brain.

Both type 1 and type 2 diabetes have been associated with reduced performance on multiple domains of cognitive function and with structural abnormalities in the brain. With an aging population and a growing epidemic of diabetes, central nervous system-related complications of diabetes are expected to rise and could have challenging future public health implications. In this review, we will discuss the brain structural and functional changes that have been associated with type 1 and type 2 diabetes. Diabetes duration and glycemic control may play important roles in the development of cognitive impairment in diabetes, but the exact underlying pathophysiological mechanisms causing these changes in cognition and structure are not well understood. Future research is needed to better understand the natural history and the underlying mechanisms, as well as to identify risk factors that predict who is at greatest risk of developing cognitive impairment. This information will lead to the development of new strategies to minimize the impact of diabetes on cognitive function.