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2,514 result(s) for "Nathan, David M."
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Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums
Considerable overlap has been identified in the risk factors, comorbidities and putative pathophysiological mechanisms of Alzheimer disease and related dementias (ADRDs) and type 2 diabetes mellitus (T2DM), two of the most pressing epidemics of our time. Much is known about the biology of each condition, but whether T2DM and ADRDs are parallel phenomena arising from coincidental roots in ageing or synergistic diseases linked by vicious pathophysiological cycles remains unclear. Insulin resistance is a core feature of T2DM and is emerging as a potentially important feature of ADRDs. Here, we review key observations and experimental data on insulin signalling in the brain, highlighting its actions in neurons and glia. In addition, we define the concept of 'brain insulin resistance' and review the growing, although still inconsistent, literature concerning cognitive impairment and neuropathological abnormalities in T2DM, obesity and insulin resistance. Lastly, we review evidence of intrinsic brain insulin resistance in ADRDs. By expanding our understanding of the overlapping mechanisms of these conditions, we hope to accelerate the rational development of preventive, disease-modifying and symptomatic treatments for cognitive dysfunction in T2DM and ADRDs alike.
Translating the A1C Assay Into Estimated Average Glucose Values
OBJECTIVE:--The A1C assay, expressed as the percent of hemoglobin that is glycated, measures chronic glycemia and is widely used to judge the adequacy of diabetes treatment and adjust therapy. Day-to-day management is guided by self-monitoring of capillary glucose concentrations (milligrams per deciliter or millimoles per liter). We sought to define the mathematical relationship between A1C and average glucose (AG) levels and determine whether A1C could be expressed and reported as AG in the same units as used in self-monitoring. RESEARCH DESIGN AND METHODS--A total of 507 subjects, including 268 patients with type 1 diabetes, 159 with type 2 diabetes, and 80 nondiabetic subjects from 10 international centers, was included in the analyses. A1C levels obtained at the end of 3 months and measured in a central laboratory were compared with the AG levels during the previous 3 months. AG was calculated by combining weighted results from at least 2 days of continuous glucose monitoring performed four times, with seven-point daily self-monitoring of capillary (fingerstick) glucose performed at least 3 days per week. RESULTS:--Approximately 2,700 glucose values were obtained by each subject during 3 months. Linear regression analysis between the A1C and AG values provided the tightest correlations (AGmg/dl = 28.7 x A1C - 46.7, R² = 0.84, P < 0.0001), allowing calculation of an estimated average glucose (eAG) for A1C values. The linear regression equations did not differ significantly across subgroups based on age, sex, diabetes type, race/ethnicity, or smoking status. CONCLUSIONS:--A1C levels can be expressed as eAG for most patients with type 1 and type 2 diabetes.
Finding New Treatments for Diabetes — How Many, How Fast . . . How Good?
Pressure to develop new drugs for type 2 diabetes has been stimulated by the remarkable worldwide increase in the incidence of this disease. However, Dr. David Nathan writes that the newer medications are generally no more potent, and often less effective in lowering glycemia, than the three oldest classes. Two modern-day epidemics, HIV–AIDS and type 2 diabetes mellitus, have inspired impassioned calls for more effective interventions. In the 1980s, the rapid spread of HIV, with its associated severe, acute illness and high mortality, prompted activist groups and others to call for the accelerated approval of medications that showed promise of efficacy. There was no treatment available, and people were dying quickly. More recently, pressure to develop new drugs for type 2 diabetes has been stimulated by the remarkable worldwide increase in the incidence of this disease (54% in the past 7 years in the United States 1 ) and the . . .
Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus
BACKGROUND: Multiple laboratory tests are used to diagnose and manage patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these tests varies substantially. APPROACH: An expert committee compiled evidence-based recommendations for the use of laboratory testing for patients with diabetes. A new system was developed to grade the overall quality of the evidence and the strength of the recommendations. Draft guidelines were posted on the Internet and presented at the 2007 Arnold O. Beckman Conference. The document was modified in response to oral and written comments, and a revised draft was posted in 2010 and again modified in response to written comments. The National Academy of Clinical Biochemistry and the Evidence-Based Laboratory Medicine Committee of the American Association for Clinical Chemistry jointly reviewed the guidelines, which were accepted after revisions by the Professional Practice Committee and subsequently approved by the Executive Committee of the American Diabetes Association. CONTENT: In addition to long-standing criteria based on measurement of plasma glucose, diabetes can be diagnosed by demonstrating increased blood hemoglobin A₁c (HbA₁c) concentrations. Monitoring of glycemic control is performed by self-monitoring of plasma or blood glucose with meters and by laboratory analysis of HbA₁c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of autoantibodies, urine albumin, insulin, proinsulin, C-peptide, and other analytes are addressed. SUMMARY: The guidelines provide specific recommendations that are based on published data or derived from expert consensus. Several analytes have minimal clinical value at present, and their measurement is not recommended.
Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus
Multiple laboratory tests are used to diagnose and manage patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these tests varies substantially. An expert committee compiled evidence-based recommendations for the use of laboratory testing for patients with diabetes. A new system was developed to grade the overall quality of the evidence and the strength of the recommendations. Draft guidelines were posted on the Internet and presented at the 2007 Arnold O. Beckman Conference. The document was modified in response to oral and written comments, and a revised draft was posted in 2010 and again modified in response to written comments. The National Academy of Clinical Biochemistry and the Evidence Based Laboratory Medicine Committee of the AACC jointly reviewed the guidelines, which were accepted after revisions by the Professional Practice Committee and subsequently approved by the Executive Committee of the American Diabetes Association. In addition to long-standing criteria based on measurement of plasma glucose, diabetes can be diagnosed by demonstrating increased blood hemoglobin A(1c) (Hb A(1c)) concentrations. Monitoring of glycemic control is performed by self-monitoring of plasma or blood glucose with meters and by laboratory analysis of Hb A(1c). The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of autoantibodies, urine albumin, insulin, proinsulin, C-peptide, and other analytes are addressed. The guidelines provide specific recommendations that are based on published data or derived from expert consensus. Several analytes have minimal clinical value at present, and their measurement is not recommended.
Proof-of-Concept, Randomized, Controlled Clinical Trial of Bacillus-Calmette-Guerin for Treatment of Long-Term Type 1 Diabetes
No targeted immunotherapies reverse type 1 diabetes in humans. However, in a rodent model of type 1 diabetes, Bacillus Calmette-Guerin (BCG) reverses disease by restoring insulin secretion. Specifically, it stimulates innate immunity by inducing the host to produce tumor necrosis factor (TNF), which, in turn, kills disease-causing autoimmune cells and restores pancreatic beta-cell function through regeneration. Translating these findings to humans, we administered BCG, a generic vaccine, in a proof-of-principle, double-blind, placebo-controlled trial of adults with long-term type 1 diabetes (mean: 15.3 years) at one clinical center in North America. Six subjects were randomly assigned to BCG or placebo and compared to self, healthy paired controls (n = 6) or reference subjects with (n = 57) or without (n = 16) type 1 diabetes, depending upon the outcome measure. We monitored weekly blood samples for 20 weeks for insulin-autoreactive T cells, regulatory T cells (Tregs), glutamic acid decarboxylase (GAD) and other autoantibodies, and C-peptide, a marker of insulin secretion. BCG-treated patients and one placebo-treated patient who, after enrollment, unexpectedly developed acute Epstein-Barr virus infection, a known TNF inducer, exclusively showed increases in dead insulin-autoreactive T cells and induction of Tregs. C-peptide levels (pmol/L) significantly rose transiently in two BCG-treated subjects (means: 3.49 pmol/L [95% CI 2.95-3.8], 2.57 [95% CI 1.65-3.49]) and the EBV-infected subject (3.16 [95% CI 2.54-3.69]) vs.1.65 [95% CI 1.55-3.2] in reference diabetic subjects. BCG-treated subjects each had more than 50% of their C-peptide values above the 95(th) percentile of the reference subjects. The EBV-infected subject had 18% of C-peptide values above this level. We conclude that BCG treatment or EBV infection transiently modified the autoimmunity that underlies type 1 diabetes by stimulating the host innate immune response. This suggests that BCG or other stimulators of host innate immunity may have value in the treatment of long-term diabetes. ClinicalTrials.gov NCT00607230.
Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: a Joint Statement by International Diabetes Organizations
Background Despite growing evidence that bariatric/metabolic surgery powerfully improves type 2 diabetes (T2D), existing diabetes treatment algorithms do not include surgical options. Aim The 2nd Diabetes Surgery Summit (DSS-II), an international consensus conference, was convened in collaboration with leading diabetes organizations to develop global guidelines to inform clinicians and policymakers about benefits and limitations of metabolic surgery for T2D. Methods A multidisciplinary group of 48 international clinicians/scholars (75% nonsurgeons), including representatives of leading diabetes organizations, participated in DSS-II. After evidence appraisal (MEDLINE [1 January 2005–30 September 2015]), three rounds of Delphi-like questionnaires were used to measure consensus for 32 data-based conclusions. These drafts were presented at the combined DSS-II and 3rd World Congress on Interventional Therapies for Type 2 Diabetes (London, U.K., 28–30 September 2015), where they were open to public comment by other professionals and amended face-to-face by the Expert Committee. Results Given its role in metabolic regulation, the gastrointestinal tract constitutes a meaningful target to manage T2D. Numerous randomized clinical trials, albeit mostly short/midterm, demonstrate that metabolic surgery achieves excellent glycemic control and reduces cardiovascular risk factors. On the basis of such evidence, metabolic surgery should be recommended to treat T2D in patients with class III obesity (BMI ≥40 kg/m 2 ) and in those with class II obesity (BMI 35.0–39.9 kg/m 2 ) when hyperglycemia is inadequately controlled by lifestyle and optimal medical therapy. Surgery should also be considered for patients with T2D and BMI 30.0–34.9 kg/m 2 if hyperglycemia is inadequately controlled despite optimal treatment with either oral or injectable medications. These BMI thresholds should be reduced by 2.5 kg/m 2 for Asian patients. Conclusions Although additional studies are needed to further demonstrate long-term benefits, there is sufficient clinical and mechanistic evidence to support inclusion of metabolic surgery among antidiabetes interventions for people with T2D and obesity. To date, the DSS-II guidelines have been formally endorsed by 45 worldwide medical and scientific societies. Health care regulators should introduce appropriate reimbursement policies.
Realising the long-term promise of insulin therapy: the DCCT/EDIC study
The introduction of insulin in the treatment of juvenile-onset, now type 1, diabetes mellitus transformed a rapidly fatal disease into a chronic degenerative one. During the insulin-treatment era, long-term microvascular and cardiovascular complications proved to be the bane of existence for people with type 1 diabetes, leading to blindness, kidney failure, amputations, cardiovascular disease (CVD) and premature mortality. The nascent understanding of the link between non-physiologically regulated glucose levels and these complications led to the development of new treatment tools in the 1970s and 1980s that facilitated the delivery of insulin to achieve glucose levels closer to non-diabetic levels. These therapeutic advances set the stage for definitive testing of the glucose hypothesis. The Diabetes Control and Complications Trial (DCCT), supported by the National Institute of Diabetes Digestive and Kidney Diseases, National Institutes of Health (NIH), definitively established the benefits and risks of intensive therapy that substantially lowered mean blood glucose levels, measured by HbA1c, over a mean 6.5 years of therapy. Intensive therapy in the DCCT, resulting in a mean HbA1c of ~7% (53 mmol/mol), reduced the development and progression of early microvascular and neurological complications associated with diabetes by 34–76% compared with the conventional-treatment group, which maintained an HbA1c of ~9% (75 mmol/mol). Intensive therapy was also associated with weight gain and a threefold increased risk for hypoglycaemia. At the end of the DCCT, a long-term observational follow-up study, the Epidemiology of Diabetes Interventions and Complications (EDIC) study, commenced. Despite the convergence of HbA1c levels between the two groups during EDIC, owing to the adoption of intensive therapy by the original DCCT conventional-treatment group and the return of all participants to their own healthcare providers for diabetes care, the development and progression of complications continued to be substantially less in the original intensive-treatment group vs the conventional-treatment group; this phenomenon was termed ‘metabolic memory’. The DCCT demonstrated a major reduction in early-stage complications with intensive therapy and the metabolic memory phenomenon during EDIC contributed to a substantially lower burden of advanced complications over time. These included a 57% lower risk of CVD events and 33% lower rate of mortality in the original intensive-treatment group compared with the conventional-treatment group. DCCT/EDIC has ushered in the intensive-treatment era, which has been universally adopted and includes the goal of achieving HbA1c levels less than 7% (53 mmol/mol) for most patients. Although the challenge of making intensive therapy (with the aim of achieving normoglycaemia) as widely accessible and safe as possible remains, continuing improvements in insulin therapy 100 years after its introduction promise a brighter future for people with type 1 diabetes.
Effect of Glycemic Exposure on the Risk of Microvascular Complications in the Diabetes Control and Complications Trial—Revisited
Effect of Glycemic Exposure on the Risk of Microvascular Complications in the Diabetes Control and Complications Trial—Revisited John M. Lachin 1 , Saul Genuth 2 , David M. Nathan 3 , Bernard Zinman 4 , Brandy N. Rutledge 1 and for the DCCT/EDIC Research Group * 1 The Biostatistics Center, The George Washington University, Rockville, Maryland 2 Case Western Reserve University, Cleveland, Ohio 3 Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 4 Samuel Lunenfeld Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada Address correspondence and reprint requests to John M. Lachin, The Biostatistics Center, 6110 Executive Blvd., Rockville, MD 20852. E-mail: jml{at}biostat.bsc.gwu.edu Abstract OBJECTIVE— The Diabetes Control and Complications Trial ( Diabetes 44:968–983, 1995) presented statistical models suggesting that subjects with similar A1C levels had a higher risk of retinopathy progression in the conventional treatment group than in the intensive treatment group. That analysis has been cited to support the hypothesis that specific patterns of glucose variation, in particular postprandial hyperglycemia, contribute uniquely to an increased risk of microvascular complications above and beyond that explained by the A1C level. RESEARCH DESIGN AND METHODS— We performed statistical evaluations of these models and additional analyses to assess whether the original analyses were flawed. RESULTS— Statistically, we show that the original results are an artifact of the assumptions of the statistical model used. Additional analyses show that virtually all (96%) of the beneficial effect of intensive versus conventional therapy on progression of retinopathy is explained by the reductions in the mean A1C levels, similarly for other outcomes. Furthermore, subjects within the intensive and conventional treatment groups with similar A1C levels over time have similar risks of retinopathy progression, especially after adjusting for factors in which they differ. CONCLUSIONS— A1C explains virtually all of the difference in risk of complications between the intensive and conventional groups, and a given A1C level has similar effects within the two treatment groups. While other components of hyperglycemia, such as glucose variation, may contribute to the risk of complications, such factors can only explain a small part of the differences in risk between intensive and conventional therapy over time. AER, albumin excretion rate DCCT, Diabetes Control and Complications Trial MBG, mean blood glucose PH, proportional hazards Footnotes Published ahead of print at http://diabetes.diabetesjournals.org on 25 January 2008. DOI: 10.2337/db07-1618. Clinical trial registry no. NCT00360815, clinicaltrials.gov. Additional information for this article can be found in an online appendix at http://dx.doi.org/10.2337/db07-1618 . * * A complete list of investigators and members of the DCCT/EDIC Research Group appears in N Engl J Med 356:1842–1852, 2007. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Accepted January 2, 2008. Received November 16, 2007. DIABETES
Comparison of central laboratory HbA1c measurements obtained from a capillary collection versus a standard venous whole blood collection in the GRADE and EDIC studies
We compared HbA1c values obtained from capillary blood collection kits versus venous whole blood collections in study participants with type 1 or type 2 diabetes. A total of 122 subjects, 64 with type 2 diabetes participating in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) Study and 58 with type 1 diabetes from the Epidemiology of Diabetes Interventions and Complications (EDIC) Study, participated in the validation study. Capillary tubes were filled by fingerstick by the participants on the same day as the collection of venous whole blood samples in EDTA-containing test tubes and were mailed to the central laboratory. HbA1c in all samples was measured with the same high-performance liquid chromatography. GRADE participants also completed a questionnaire on the ease of performing capillary collections. Participants from 22 clinical centers (GRADE n = 5, EDIC n = 17) were between 35 and 86 years of age, with 52% male and diverse race/ethnicities. Venous HbA1c results ranged between 5.4-11.9% (35.5-106.6 mmol/mol) with corresponding capillary results ranging between 4.2-11.9% (22.4-106.6 mmol/mol). The venous and capillary results were highly correlated (R2 = 0.993) and 96.7% differed by ≤0.2% (2.2 mmol/mol). Of participants surveyed, 69% indicated that the instructions and collection were easy to follow and 97% felt the collection method would be easy to do at home. The capillary blood HbA1c results compared well with the conventional venous whole blood results. The capillary kits can be employed in other studies to reduce interruption of critical data collection and potentially to augment clinical care when in-person visits are not possible.