FLuctuATion Reduction With inSULin and Glp-1 Added togetheR (FLAT-SUGAR)

NCT ID: NCT01524705

Last Updated: 2023-12-29

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

View full results

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

PHASE4

Total Enrollment

102 participants

Study Classification

INTERVENTIONAL

Study Start Date

2012-08-31

Study Completion Date

2014-07-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Results of recent studies using standard long and short acting insulin therapy (Basal - Bolus or BBI) in type 2 diabetes mellitus (T2DM) have not shown benefits to lower risks for heart attacks, strokes, or eye, nerve and kidney problems. Some studies also show a long time between the start of treatment and signs of benefit. This has led to a review of current ways to normalize blood glucose control with basal bolus insulin and how to make blood glucose better. Improving blood sugar with insulin therapy usually causes weight gain, more high sugar levels after meals, and more low blood sugars. Early studies suggest that when people take long-acting insulin and metformin, they have fewer blood sugar extremes when they also take a new type of medicine called glucagon-like polypeptide-1 (GLP-1) agonist named exenatide (Byetta), instead of meal-time insulin. This means there might be a better way to treat Type 2 diabetes.

Participants are asked to take part in an eight month study to find out if middle-aged and older people with Type 2 diabetes who have added risk factors for heart disease can even out their blood sugar levels. They will start on long-acting insulin, mealtime insulin, and metformin, if they are not already on these medications. Their kidney function tests must be normal and they must not be allergic to metformin. Then, after a 2 month run-in phase, they must be willing to be assigned by chance into one of two groups. This means that they will have a 50/50 chance (like flipping a coin) of being in either group. Half of them will be started on the new medicine known as Byetta rather than the meal-time insulin and the other half will remain on the meal-time insulin during the next 6 months (26 weeks) to see which group has more steady blood sugars. They will be asked to use a continuous blood sugar monitoring system called DexCom. A sensor is inserted under the skin in the same areas the insulin is injected. The DexCom can check their blood sugars 24 hours of the day and night and will be worn until 7 days of recordings are collected. In the same 7 day period, they will also be asked to wear a Holter or Telemetry monitor that will record their heart beats and rhythm which will be compared to the blood sugar readings. They will also use home glucose meters to check their glucose levels about 3 to 4 times a day. The study will take place at 12 centers in the United States and enroll about 120-130 people.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Recent medical endpoint studies employing conventional basal bolus insulin therapy (BBI) in type 2 diabetes mellitus (T2DM) have been disappointing, showing either inconsistent or no effect of treatments on risks for micro- or macro-vascular events, or a long interval between treatment initiation and evidence of clinical benefit. In fact, one trial has suggested that treating glycosylated hemoglobin (HbA1C) to lower targets may even lead to harm. This has raised the possibility that more aggressive glucose lowering approaches lead to harm that overwhelms benefit in those with T2DM. Potential explanations for these results include three closely related physiologic processes: glycemic variability, weight gain and hypoglycemia. Too much variability of glucose, especially post-prandial hyperglycemia, poses the dilemma of how to achieve near-normal mean glucose and HbA1C levels without causing insulin-induced hypoglycemia and/or weight gain. All three of these processes have been linked to worsening systemic inflammation and oxidative stress, and to increased renal and cardiovascular risks.

Fortunately, new tools are available that allow us to assess the severity of glycemic variability (continuous glucose monitoring, or CGM), and to investigate the mechanisms through which it may lead to cardiovascular risk (e.g., systemic inflammation and oxidative stress, sensitive measures of diabetic renal disease, and Holter or Telemetry monitoring for hypoglycemia-induced arrhythmias). In addition, preliminary studies have suggested that replacement of rapid-acting analogue (RAA) in traditional BBI with the glucagon-like polypeptide-1 (GLP-1) agonist, exenatide, may substantially reduce glycemic variability without a strong tendency to increase body weight or hypoglycemia.

This research trial, "FLuctuATion reduction with inSUlin and Glp-1 Added togetheR (FLAT-SUGAR)", by using these new methods to optimize glycemic control while limiting unwanted adverse effects, will be a definitive comparative effectiveness trial. This trial is designed to address the following primary hypothesis:

In middle aged and older individuals with T2DM and additional risk factors for cardiovascular disease, and on a background therapy of basal insulin (insulin glargine) and metformin, the addition of the GLP-1 analogue, exenatide, reduces glycemic variability more than the addition of a rapid-acting-analogue (RAA) (insulin aspart, insulin glulisine or insulin lispro) during an active treatment period of 26 weeks.

The primary outcome measure will be the change in the coefficient of variation of continuous glucose readings, as assessed by CGM. Importantly, FLAT-SUGAR will plan, a priori, to assess glycemic variability using CGM. Secondary trial goals will be to explore potential between-group differences in complications that may result from glycemic variability, including hypoglycemia, systemic inflammation and oxidant stress, diabetic renal disease, weight gain and cardiac arrhythmias. If, as we expect, FLAT-SUGAR demonstrates that CGM provides objective verification of reduced glycemic variability in T2DM with the new GLP-1 agonist-based regimen, the main goal of the trial will be accomplished. If reduced variability is associated with lower risks of adverse events of inflammation, albuminuria progression, weight gain, hypoglycemia, and/or cardiac arrhythmia, a long term clinical comparative effectiveness trial powered to evaluate medical outcomes will be justified.

In order to conduct FLAT-SUGAR, a randomized, controlled, multicenter, open-label investigator-initiated trial, the primary funding is supported by Sanofi-Aventis US with donations of other medications and devices by several other companies. The Sponsor-Investigator is the University of Washington, which will also be the Operation Center (OC).The Data Center (DC) is the University of Texas at Houston School of Public Health. There will be 12 clinical sites with diabetes and CGM expertise to screen and enroll qualified participants for approximately 8-10 weeks of a run-in period, then ultimately randomize, and follow 120 total participants for an active treatment period of 26 weeks.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Type 2 Diabetes

Keywords

Explore important study keywords that can help with search, categorization, and topic discovery.

Pilot Study Prospective Randomized Trial Comparative Effectiveness Glycemic Variability insulin glargine exenatide basal insulin bolus insulin

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Participants Caregivers

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Insulin Glargine, metformin, exenatide

Approximately 60 Type 2 diabetes mellitus (DM) participants will be instructed on an American Heart Association/American Diabetes Association (AHA/ADA) meal plan. Insulin Glargine, metformin and exenatide will used as a combination strategy to control individual glycosylated hemoglobin level (HbA1Cs) between 6.7 and 7.3% throughout the trial. The use of exenatide makes this the intervention arm

Group Type EXPERIMENTAL

Insulin Glargine

Intervention Type DRUG

Glargine-injectable, variable, once daily (QD), 6 months

Metformin

Intervention Type DRUG

Metformin-oral, up to 1000mg, twice daily (BID), 6 months

Exenatide

Intervention Type DRUG

Injectable, 5mcg, twice daily (BID), 6 months

glargine, metformin, prandial insulin

Approximately 60 type 2 DM participants will be instructed in AHA/ADA meal plan. Insulin Glargine, metformin and one of 3 prandial insulins will be used as combination strategy to control individual HbA1Cs between 6.7 and 7.3%. Prandial Insulins (aspart, glulisine or lispro). The use of the short acting insulins make this the control arm

Group Type ACTIVE_COMPARATOR

Insulin Glargine

Intervention Type DRUG

Glargine-injectable, variable, once daily (QD), 6 months

Metformin

Intervention Type DRUG

Metformin-oral, up to 1000mg, twice daily (BID), 6 months

Prandial insulin

Intervention Type DRUG

Aspart or glulisine or lispro

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Insulin Glargine

Glargine-injectable, variable, once daily (QD), 6 months

Intervention Type DRUG

Metformin

Metformin-oral, up to 1000mg, twice daily (BID), 6 months

Intervention Type DRUG

Prandial insulin

Aspart or glulisine or lispro

Intervention Type DRUG

Exenatide

Injectable, 5mcg, twice daily (BID), 6 months

Intervention Type DRUG

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

Basal insulin Generic metformin Aspart or glulisine or lispro Glucagon-like polypeptide-1-agonist (GLP-1-agonist) Byetta

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. T2DM for \>12 months defined according to current ADA criteria
2. C-peptide \>0.5 ng/mL-after informed consent has been signed, samples will be drawn fasting and sent to a central lab
3. Participants must be on insulin therapy. Diabetes, Blood Pressure \& Lipid therapy must be stable (in both dose and agent) for ≥3 months (dose of any 1 drug has not changed by more than 2-fold, \& new agents not been added within the previous 3 months)
4. HbA1c 7.5-8.5% for enrollment
5. Age at enrollment (screening): 40-75 years (inclusive) when there is a history of cardiovascular disease (defined in 'a'), or 55 to 75 years (inclusive) when there is not a history of cardiovascular disease but 2 or more risk factors (with or without treatment) are present (defined in 'b')

a) Established cardiovascular disease defined as presence of one of the following: i. Previous myocardial infarction (MI). (most recent must be \> 3 months prior enrollment) ii. Previous stroke. (most recent must be \>3 months prior enrollment) iii. History of coronary revascularization (e.g., coronary artery bypass graft surgery, stent placement, percutaneous transluminal coronary angioplasty, or laser atherectomy)(most recent must be \> 3 months prior enrollment) iv. History of carotid or peripheral revascularization (e.g., carotid endarterectomy, lower extremity atherosclerotic disease atherectomy, repair of abdominal aortic aneurysm, femoral or popliteal bypass). (most recent must be \>3 months prior enrollment) v. Angina with either ischemic changes on a resting ECG, or ECG changes on a graded exercise test (GXT), or positive cardiac imaging study vi. Ankle/brachial index \<0.9 vii. LVH with strain by ECG or ECHO viii. \>50% stenosis of a coronary, carotid, renal or lower extremity artery. ix. Urine albumin to urine creatinine ratio of \>30 mg albumin/g creatinine in 2 samples, separated by at least 7 days, within past 12 months) \[Target of 50% of study cohort\] or b) Increased CVD risk defined as presence of 2 or more of the following: i. Untreated LDL-C \>130 mg/dL or on lipid treatment ii. Low HDL-C (\<40 mg/dL for men and \<50 mg/dL for women) iii. Untreated systolic BP \>140 mm Hg, or on antihypertensive treatment iv. Current cigarette smoking v. Body mass index 25-45 (Asian populations 23-45) kg/m2
6. No expectation that participant will move out of clinical center area during the next 8 months, unless move will be to an area served by another trial center
7. Ability to speak \& read English

Exclusion Criteria

1. The presence of a physical disability, significant medical or psychiatric disorder; substance abuse or use of a medication that in the judgment of the investigator will affect the use of CGM, wearing of the sensors, Holter or Telemetry monitor, complex medication regimen, or completion of any aspect of the protocol
2. Cannot have had any cardiovascular event or interventional procedure, (MI, Stroke or revascularization) or been hospitalized for unstable angina within the last 3 months
3. Inability or unwillingness to discontinue use of acetaminophen products during CGM use
4. Inability or unwillingness to discontinue use of all other diabetes agents other than insulin \& metformin during trial (including insulin pump participants who will need to convert to BBI)
5. Intolerance of metformin dose \<500 mg/day
6. Inability or unwillingness to perform blood glucose testing a minimum of 3 times/per day
7. Creatinine level ≥1.5 for males or 1.4 for females
8. ALT level ≥ 3 times upper limit of normal
9. Current symptomatic heart failure, history of NYHA Class III or IV congestive heart failure at any time, or ejection fraction (by any method) \< 25%
10. Inpatient psychiatric treatment in the past 6 months
11. Currently participating in an intervention trial
12. Chronic inflammatory diseases, such as collagen vascular diseases or inflammatory bowel disease
13. History of pancreatitis
14. BMI \>45kg/m2
15. For females, pregnant or intending to become pregnant during the next 7 months
Minimum Eligible Age

40 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Eli Lilly and Company

INDUSTRY

Sponsor Role collaborator

Sanofi

INDUSTRY

Sponsor Role collaborator

Astra Zeneca, Bristol-Myers Squibb

OTHER

Sponsor Role collaborator

DexCom, Inc.

INDUSTRY

Sponsor Role collaborator

Bayer

INDUSTRY

Sponsor Role collaborator

Becton, Dickinson and Company

INDUSTRY

Sponsor Role collaborator

Medicomp

UNKNOWN

Sponsor Role collaborator

University of Texas

OTHER

Sponsor Role collaborator

US Department of Veterans Affairs

FED

Sponsor Role collaborator

Biomedical Research Institute of New Mexico

OTHER

Sponsor Role collaborator

University of Washington

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Jeff Probstfield

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Jeffrey L Probstfield, MD

Role: PRINCIPAL_INVESTIGATOR

Professor of Medicine, University of Washington

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

So Calif. Permanente Medical Group

San Diego, California, United States

Site Status

University of Miami

Miami, Florida, United States

Site Status

Atlanta Diabetes Associates

Atlanta, Georgia, United States

Site Status

Joslin Diabetes Center

Boston, Massachusetts, United States

Site Status

International Diabetes Center

Minneapolis, Minnesota, United States

Site Status

Washington University

St Louis, Missouri, United States

Site Status

Kaledia Health of Western New York

Buffalo, New York, United States

Site Status

Diabetes Care Center

Durham, North Carolina, United States

Site Status

Oregon Health and Science University

Portland, Oregon, United States

Site Status

University of Vermont

Colchester, Vermont, United States

Site Status

University of Washington

Seattle, Washington, United States

Site Status

Washington State University Spokane, College of Pharmacy Spokane WA 99202 USA

Spokane, Washington, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

References

Explore related publications, articles, or registry entries linked to this study.

Action to Control Cardiovascular Risk in Diabetes Study Group; Gerstein HC, Miller ME, Byington RP, Goff DC Jr, Bigger JT, Buse JB, Cushman WC, Genuth S, Ismail-Beigi F, Grimm RH Jr, Probstfield JL, Simons-Morton DG, Friedewald WT. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med. 2008 Jun 12;358(24):2545-59. doi: 10.1056/NEJMoa0802743. Epub 2008 Jun 6.

Reference Type BACKGROUND
PMID: 18539917 (View on PubMed)

ADVANCE Collaborative Group; Patel A, MacMahon S, Chalmers J, Neal B, Billot L, Woodward M, Marre M, Cooper M, Glasziou P, Grobbee D, Hamet P, Harrap S, Heller S, Liu L, Mancia G, Mogensen CE, Pan C, Poulter N, Rodgers A, Williams B, Bompoint S, de Galan BE, Joshi R, Travert F. Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N Engl J Med. 2008 Jun 12;358(24):2560-72. doi: 10.1056/NEJMoa0802987. Epub 2008 Jun 6.

Reference Type BACKGROUND
PMID: 18539916 (View on PubMed)

Duckworth W, Abraira C, Moritz T, Reda D, Emanuele N, Reaven PD, Zieve FJ, Marks J, Davis SN, Hayward R, Warren SR, Goldman S, McCarren M, Vitek ME, Henderson WG, Huang GD; VADT Investigators. Glucose control and vascular complications in veterans with type 2 diabetes. N Engl J Med. 2009 Jan 8;360(2):129-39. doi: 10.1056/NEJMoa0808431. Epub 2008 Dec 17.

Reference Type BACKGROUND
PMID: 19092145 (View on PubMed)

Davi G, Ciabattoni G, Consoli A, Mezzetti A, Falco A, Santarone S, Pennese E, Vitacolonna E, Bucciarelli T, Costantini F, Capani F, Patrono C. In vivo formation of 8-iso-prostaglandin f2alpha and platelet activation in diabetes mellitus: effects of improved metabolic control and vitamin E supplementation. Circulation. 1999 Jan 19;99(2):224-9. doi: 10.1161/01.cir.99.2.224.

Reference Type BACKGROUND
PMID: 9892587 (View on PubMed)

Tannock LR, O'Brien KD, Knopp RH, Retzlaff B, Fish B, Wener MH, Kahn SE, Chait A. Cholesterol feeding increases C-reactive protein and serum amyloid A levels in lean insulin-sensitive subjects. Circulation. 2005 Jun 14;111(23):3058-62. doi: 10.1161/CIRCULATIONAHA.104.506188. Epub 2005 Jun 6.

Reference Type BACKGROUND
PMID: 15939816 (View on PubMed)

Festa A, D'Agostino R Jr, Howard G, Mykkanen L, Tracy RP, Haffner SM. Chronic subclinical inflammation as part of the insulin resistance syndrome: the Insulin Resistance Atherosclerosis Study (IRAS). Circulation. 2000 Jul 4;102(1):42-7. doi: 10.1161/01.cir.102.1.42.

Reference Type BACKGROUND
PMID: 10880413 (View on PubMed)

Dandona P, Chaudhuri A, Ghanim H, Mohanty P. Insulin as an anti-inflammatory and antiatherogenic modulator. J Am Coll Cardiol. 2009 Feb 3;53(5 Suppl):S14-20. doi: 10.1016/j.jacc.2008.10.038.

Reference Type BACKGROUND
PMID: 19179212 (View on PubMed)

Dogne JM, Hanson J, Pratico D. Thromboxane, prostacyclin and isoprostanes: therapeutic targets in atherogenesis. Trends Pharmacol Sci. 2005 Dec;26(12):639-44. doi: 10.1016/j.tips.2005.10.001. Epub 2005 Oct 21.

Reference Type BACKGROUND
PMID: 16243403 (View on PubMed)

Buscemi S, Verga S, Cottone S, Azzolina V, Buscemi B, Gioia D, Cerasola G. Glycaemic variability and inflammation in subjects with metabolic syndrome. Acta Diabetol. 2009 Mar;46(1):55-61. doi: 10.1007/s00592-008-0061-8. Epub 2008 Sep 26.

Reference Type BACKGROUND
PMID: 18818862 (View on PubMed)

Monnier L, Mas E, Ginet C, Michel F, Villon L, Cristol JP, Colette C. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. 2006 Apr 12;295(14):1681-7. doi: 10.1001/jama.295.14.1681.

Reference Type BACKGROUND
PMID: 16609090 (View on PubMed)

Ceriello A, Esposito K, Piconi L, Ihnat MA, Thorpe JE, Testa R, Boemi M, Giugliano D. Oscillating glucose is more deleterious to endothelial function and oxidative stress than mean glucose in normal and type 2 diabetic patients. Diabetes. 2008 May;57(5):1349-54. doi: 10.2337/db08-0063. Epub 2008 Feb 25.

Reference Type BACKGROUND
PMID: 18299315 (View on PubMed)

Esposito K, Ciotola M, Carleo D, Schisano B, Sardelli L, Di Tommaso D, Misso L, Saccomanno F, Ceriello A, Giugliano D. Post-meal glucose peaks at home associate with carotid intima-media thickness in type 2 diabetes. J Clin Endocrinol Metab. 2008 Apr;93(4):1345-50. doi: 10.1210/jc.2007-2000. Epub 2008 Jan 15.

Reference Type BACKGROUND
PMID: 18198229 (View on PubMed)

Esposito K, Giugliano D, Nappo F, Marfella R; Campanian Postprandial Hyperglycemia Study Group. Regression of carotid atherosclerosis by control of postprandial hyperglycemia in type 2 diabetes mellitus. Circulation. 2004 Jul 13;110(2):214-9. doi: 10.1161/01.CIR.0000134501.57864.66. Epub 2004 Jun 14.

Reference Type BACKGROUND
PMID: 15197140 (View on PubMed)

Stehouwer CD, Gall MA, Twisk JW, Knudsen E, Emeis JJ, Parving HH. Increased urinary albumin excretion, endothelial dysfunction, and chronic low-grade inflammation in type 2 diabetes: progressive, interrelated, and independently associated with risk of death. Diabetes. 2002 Apr;51(4):1157-65. doi: 10.2337/diabetes.51.4.1157.

Reference Type BACKGROUND
PMID: 11916939 (View on PubMed)

Shikano M, Sobajima H, Yoshikawa H, Toba T, Kushimoto H, Katsumata H, Tomita M, Kawashima S. Usefulness of a highly sensitive urinary and serum IL-6 assay in patients with diabetic nephropathy. Nephron. 2000 May;85(1):81-5. doi: 10.1159/000045634.

Reference Type BACKGROUND
PMID: 10773760 (View on PubMed)

KDOQI. KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease. Am J Kidney Dis. 2007 Feb;49(2 Suppl 2):S12-154. doi: 10.1053/j.ajkd.2006.12.005. No abstract available.

Reference Type BACKGROUND
PMID: 17276798 (View on PubMed)

Dinneen SF, Gerstein HC. The association of microalbuminuria and mortality in non-insulin-dependent diabetes mellitus. A systematic overview of the literature. Arch Intern Med. 1997 Jul 14;157(13):1413-8.

Reference Type BACKGROUND
PMID: 9224218 (View on PubMed)

Gerstein HC, Mann JF, Yi Q, Zinman B, Dinneen SF, Hoogwerf B, Halle JP, Young J, Rashkow A, Joyce C, Nawaz S, Yusuf S; HOPE Study Investigators. Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals. JAMA. 2001 Jul 25;286(4):421-6. doi: 10.1001/jama.286.4.421.

Reference Type BACKGROUND
PMID: 11466120 (View on PubMed)

Ruggenenti P, Remuzzi G. Time to abandon microalbuminuria? Kidney Int. 2006 Oct;70(7):1214-22. doi: 10.1038/sj.ki.5001729. Epub 2006 Jul 26.

Reference Type BACKGROUND
PMID: 16871239 (View on PubMed)

Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med. 2003 Apr 24;348(17):1625-38. doi: 10.1056/NEJMoa021423.

Reference Type BACKGROUND
PMID: 12711737 (View on PubMed)

Robinson RT, Harris ND, Ireland RH, Lee S, Newman C, Heller SR. Mechanisms of abnormal cardiac repolarization during insulin-induced hypoglycemia. Diabetes. 2003 Jun;52(6):1469-74. doi: 10.2337/diabetes.52.6.1469.

Reference Type BACKGROUND
PMID: 12765959 (View on PubMed)

Desouza C, Salazar H, Cheong B, Murgo J, Fonseca V. Association of hypoglycemia and cardiac ischemia: a study based on continuous monitoring. Diabetes Care. 2003 May;26(5):1485-9. doi: 10.2337/diacare.26.5.1485.

Reference Type BACKGROUND
PMID: 12716809 (View on PubMed)

Gill GV, Woodward A, Casson IF, Weston PJ. Cardiac arrhythmia and nocturnal hypoglycaemia in type 1 diabetes--the 'dead in bed' syndrome revisited. Diabetologia. 2009 Jan;52(1):42-5. doi: 10.1007/s00125-008-1177-7. Epub 2008 Oct 30.

Reference Type BACKGROUND
PMID: 18972096 (View on PubMed)

Dungan KM, Buse JB, Largay J, Kelly MM, Button EA, Kato S, Wittlin S. 1,5-anhydroglucitol and postprandial hyperglycemia as measured by continuous glucose monitoring system in moderately controlled patients with diabetes. Diabetes Care. 2006 Jun;29(6):1214-9. doi: 10.2337/dc06-1910.

Reference Type BACKGROUND
PMID: 16731998 (View on PubMed)

Kadowaki T, Yamauchi T. Adiponectin and adiponectin receptors. Endocr Rev. 2005 May;26(3):439-51. doi: 10.1210/er.2005-0005.

Reference Type BACKGROUND
PMID: 15897298 (View on PubMed)

Sun J, Xu Y, Deng H, Sun S, Dai Z, Sun Y. Intermittent high glucose exacerbates the aberrant production of adiponectin and resistin through mitochondrial superoxide overproduction in adipocytes. J Mol Endocrinol. 2010 Mar;44(3):179-85. doi: 10.1677/JME-09-0088.

Reference Type BACKGROUND
PMID: 20154025 (View on PubMed)

Bergt C, Pennathur S, Fu X, Byun J, O'Brien K, McDonald TO, Singh P, Anantharamaiah GM, Chait A, Brunzell J, Geary RL, Oram JF, Heinecke JW. The myeloperoxidase product hypochlorous acid oxidizes HDL in the human artery wall and impairs ABCA1-dependent cholesterol transport. Proc Natl Acad Sci U S A. 2004 Aug 31;101(35):13032-7. doi: 10.1073/pnas.0405292101. Epub 2004 Aug 23.

Reference Type BACKGROUND
PMID: 15326314 (View on PubMed)

Shao B, Pennathur S, Pagani I, Oda MN, Witztum JL, Oram JF, Heinecke JW. Modifying apolipoprotein A-I by malondialdehyde, but not by an array of other reactive carbonyls, blocks cholesterol efflux by the ABCA1 pathway. J Biol Chem. 2010 Jun 11;285(24):18473-84. doi: 10.1074/jbc.M110.118182. Epub 2010 Apr 8.

Reference Type BACKGROUND
PMID: 20378541 (View on PubMed)

Vaisar T, Pennathur S, Green PS, Gharib SA, Hoofnagle AN, Cheung MC, Byun J, Vuletic S, Kassim S, Singh P, Chea H, Knopp RH, Brunzell J, Geary R, Chait A, Zhao XQ, Elkon K, Marcovina S, Ridker P, Oram JF, Heinecke JW. Shotgun proteomics implicates protease inhibition and complement activation in the antiinflammatory properties of HDL. J Clin Invest. 2007 Mar;117(3):746-56. doi: 10.1172/JCI26206.

Reference Type BACKGROUND
PMID: 17332893 (View on PubMed)

Green PS, Vaisar T, Pennathur S, Kulstad JJ, Moore AB, Marcovina S, Brunzell J, Knopp RH, Zhao XQ, Heinecke JW. Combined statin and niacin therapy remodels the high-density lipoprotein proteome. Circulation. 2008 Sep 16;118(12):1259-67. doi: 10.1161/CIRCULATIONAHA.108.770669. Epub 2008 Sep 2.

Reference Type BACKGROUND
PMID: 18765395 (View on PubMed)

Hoofnagle AN, Wu M, Gosmanova AK, Becker JO, Wijsman EM, Brunzell JD, Kahn SE, Knopp RH, Lyons TJ, Heinecke JW. Low clusterin levels in high-density lipoprotein associate with insulin resistance, obesity, and dyslipoproteinemia. Arterioscler Thromb Vasc Biol. 2010 Dec;30(12):2528-34. doi: 10.1161/ATVBAHA.110.212894. Epub 2010 Sep 16.

Reference Type BACKGROUND
PMID: 20847305 (View on PubMed)

Rosenfeld SI, Packman CH, Leddy JP. Inhibition of the lytic action of cell-bound terminal complement components by human high density lipoproteins and apoproteins. J Clin Invest. 1983 Apr;71(4):795-808. doi: 10.1172/jci110833.

Reference Type BACKGROUND
PMID: 6403580 (View on PubMed)

Imhof A, Charnay Y, Vallet PG, Aronow B, Kovari E, French LE, Bouras C, Giannakopoulos P. Sustained astrocytic clusterin expression improves remodeling after brain ischemia. Neurobiol Dis. 2006 May;22(2):274-83. doi: 10.1016/j.nbd.2005.11.009. Epub 2006 Feb 10.

Reference Type BACKGROUND
PMID: 16473512 (View on PubMed)

Rosenberg ME, Girton R, Finkel D, Chmielewski D, Barrie A 3rd, Witte DP, Zhu G, Bissler JJ, Harmony JA, Aronow BJ. Apolipoprotein J/clusterin prevents a progressive glomerulopathy of aging. Mol Cell Biol. 2002 Mar;22(6):1893-902. doi: 10.1128/MCB.22.6.1893-1902.2002.

Reference Type BACKGROUND
PMID: 11865066 (View on PubMed)

Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group; Tamborlane WV, Beck RW, Bode BW, Buckingham B, Chase HP, Clemons R, Fiallo-Scharer R, Fox LA, Gilliam LK, Hirsch IB, Huang ES, Kollman C, Kowalski AJ, Laffel L, Lawrence JM, Lee J, Mauras N, O'Grady M, Ruedy KJ, Tansey M, Tsalikian E, Weinzimer S, Wilson DM, Wolpert H, Wysocki T, Xing D. Continuous glucose monitoring and intensive treatment of type 1 diabetes. N Engl J Med. 2008 Oct 2;359(14):1464-76. doi: 10.1056/NEJMoa0805017. Epub 2008 Sep 8.

Reference Type BACKGROUND
PMID: 18779236 (View on PubMed)

Service FJ, Molnar GD, Rosevear JW, Ackerman E, Gatewood LC, Taylor WF. Mean amplitude of glycemic excursions, a measure of diabetic instability. Diabetes. 1970 Sep;19(9):644-55. doi: 10.2337/diab.19.9.644. No abstract available.

Reference Type BACKGROUND
PMID: 5469118 (View on PubMed)

Clarke W, Kovatchev B. Statistical tools to analyze continuous glucose monitor data. Diabetes Technol Ther. 2009 Jun;11 Suppl 1(Suppl 1):S45-54. doi: 10.1089/dia.2008.0138.

Reference Type BACKGROUND
PMID: 19469677 (View on PubMed)

Kovatchev BP, Clarke WL, Breton M, Brayman K, McCall A. Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application. Diabetes Technol Ther. 2005 Dec;7(6):849-62. doi: 10.1089/dia.2005.7.849.

Reference Type BACKGROUND
PMID: 16386091 (View on PubMed)

McDonnell CM, Donath SM, Vidmar SI, Werther GA, Cameron FJ. A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technol Ther. 2005 Apr;7(2):253-63. doi: 10.1089/dia.2005.7.253.

Reference Type BACKGROUND
PMID: 15857227 (View on PubMed)

Hirsch IB. Blood glucose monitoring technology: translating data into practice. Endocr Pract. 2004 Jan-Feb;10(1):67-76. doi: 10.4158/EP.10.1.67.

Reference Type BACKGROUND
PMID: 15251625 (View on PubMed)

Rodbard D. New and improved methods to characterize glycemic variability using continuous glucose monitoring. Diabetes Technol Ther. 2009 Sep;11(9):551-65. doi: 10.1089/dia.2009.0015.

Reference Type BACKGROUND
PMID: 19764834 (View on PubMed)

Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group; Beck RW, Hirsch IB, Laffel L, Tamborlane WV, Bode BW, Buckingham B, Chase P, Clemons R, Fiallo-Scharer R, Fox LA, Gilliam LK, Huang ES, Kollman C, Kowalski AJ, Lawrence JM, Lee J, Mauras N, O'Grady M, Ruedy KJ, Tansey M, Tsalikian E, Weinzimer SA, Wilson DM, Wolpert H, Wysocki T, Xing D. The effect of continuous glucose monitoring in well-controlled type 1 diabetes. Diabetes Care. 2009 Aug;32(8):1378-83. doi: 10.2337/dc09-0108. Epub 2009 May 8.

Reference Type BACKGROUND
PMID: 19429875 (View on PubMed)

Hirsch IB, Brownlee M. Beyond hemoglobin A1c--need for additional markers of risk for diabetic microvascular complications. JAMA. 2010 Jun 9;303(22):2291-2. doi: 10.1001/jama.2010.785. No abstract available.

Reference Type BACKGROUND
PMID: 20530784 (View on PubMed)

Basevi V, Di Mario S, Morciano C, Nonino F, Magrini N. Comment on: American Diabetes Association. Standards of medical care in diabetes--2011. Diabetes Care 2011;34(Suppl. 1):S11-S61. Diabetes Care. 2011 May;34(5):e53; author reply e54. doi: 10.2337/dc11-0174. No abstract available.

Reference Type BACKGROUND
PMID: 21525493 (View on PubMed)

FLAT-SUGAR Trial Investigators. Glucose Variability in a 26-Week Randomized Comparison of Mealtime Treatment With Rapid-Acting Insulin Versus GLP-1 Agonist in Participants With Type 2 Diabetes at High Cardiovascular Risk. Diabetes Care. 2016 Jun;39(6):973-81. doi: 10.2337/dc15-2782. Epub 2016 Apr 19.

Reference Type RESULT
PMID: 27208320 (View on PubMed)

FLAT-SUGAR Trial Investigators; Probstfield JL, Hirsch I, O'Brien K, Davis B, Bergenstal R, Kingry C, Khakpour D, Pressel S, Branch KR, Riddle M. Design of FLAT-SUGAR: Randomized Trial of Prandial Insulin Versus Prandial GLP-1 Receptor Agonist Together With Basal Insulin and Metformin for High-Risk Type 2 Diabetes. Diabetes Care. 2015 Aug;38(8):1558-66. doi: 10.2337/dc14-2689. Epub 2015 Jun 11.

Reference Type DERIVED
PMID: 26068865 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

42178

Identifier Type: -

Identifier Source: org_study_id