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Clinical Dilemmas in Diabetes


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       Adrian Vella

      Professor of Medicine, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA

      LEARNING POINTS

       Type 2 diabetes is differentiated from type 1 diabetes by what it is not i.e. a lack of evidence of immune‐mediated destruction of insulin‐secreting cells. This oversimplification may miss some of the heterogeneity present in type 2 diabetes.

       Current methods of differentiating type 1 from type 2 diabetes have significant limitations and lack sensitivity and specificity.

       Glucose‐ and lipo‐toxicity can adversely affect insulin secretion in the short term although this state of affairs is not necessarily permanent.

       Attention to a possible diagnosis of monogenic diabetes and achieving glycemic control safely and effectively are more likely to be clinically relevant than current attempts to sub‐classify type 2 diabetes.

      It is important to appreciate that the classification of type 1 and type 2 diabetes was originally somewhat arbitrary and has now evolved into a “positive” diagnosis of type 1 diabetes – based on the presence of autoantibodies – and a diagnosis of type 2 diabetes “by exclusion” i.e. no evidence of islet autoimmunity. However, this approach has significant limitations driven in part by the nature of the tests used and by the heterogeneity of type 2 diabetes [1]. Of course, the ultimate demonstration of an immune‐mediated cause of diabetes would require documenting an immune infiltrate within islets [2]. This is extremely invasive, has a significant risk of serious complications and for these reasons is almost never undertaken (nor should it).

      Several authors have argued persuasively that if the ultimate goal of diabetes management is to achieve glycemic control safely and effectively, then the underlying diagnosis may be less important [1]. In the absence of therapeutic choices this may be less important but given the proliferation of therapeutic classes in diabetes pharmacotherapy a greater understanding of the pathophysiologic abnormalities resulting in hyperglycemia may help optimize therapy. This is perhaps best illustrated by the demonstration that several forms of monogenic diabetes respond to sulfonylureas and do not necessarily need insulin therapy [3]. Early detection and treatment of hemochromatosis may prevent loss of pancreatic islet function and diabetes associated with generalized lipodystrophy responding to leptin therapy serve as other examples.

      How does hyperglycemia arise? In the postprandial state glucose concentrations are the net result of stimulation of insulin secretion, suppression of glucagon secretion, the ability of insulin (insulin action) and glucose (glucose effectiveness) to suppress endogenous glucose production and stimulate glucose uptake by the tissues, and the rate of gastric emptying. In type 1 diabetes, all defects are ultimately secondary to insulin deficiency whereas in type 2 diabetes the relative contribution of these parameters is more variable [4, 5].

      Abnormalities of glucagon suppression are observed in both type 1 and type 2 diabetes and were initially attributed to insulin deficiency within the islet [12]. However, insulin restraint of α‐cell secretion may not be as important as previously thought [13, 14]. Certainly there are other paracrine regulators of glucagon secretion [15]. Abnormal glucagon secretion arises early in prediabetes and occurs independently of defects in insulin secretion [14]. Underlining its importance in the pathogenesis of diabetes is the observation that people with diabetes‐associated genetic variation exhibit defects of α‐cell function [16, 17].

      The factors altering the ability of insulin and of glucose itself to suppress endogenous glucose production (and release into the circulation) as well as stimulate uptake are less well understood although weight, adiposity and physical activity all influence these parameters. Genetic predisposition to defects in insulin action, for example, is less well characterized. Certain syndromes such as polycystic ovarian syndrome are associated with diabetes through effects on insulin resistance [18, 19].

      The final variable affecting glycemic control is upper gastrointestinal function. The stomach and proximal small bowel function in unison to dampen fluctuations in the rate of appearance of ingested calories into the duodenum and jejunum after meals. Multiple neural and hormonal inputs regulate gastric volume and wall tension (allowing accommodation of ingested food), pyloric tone and the rate of gastric emptying [20]. Although this integrated system regulates satiety and, to a lesser extent, caloric intake, there has been no clear association with predisposition to diabetes. For example, most of the benefits of bariatric surgery occur through changes in caloric intake and weight loss [21] and are likely independent of the rate of gastric emptying – outcomes after sleeve gastrectomy and Roux‐en‐Y‐Gastric Bypass (RYGB) are broadly comparable – despite a far higher rate of gastric (pouch) emptying after RYGB [22].

      Having somewhat downplayed the notion that there are two discrete forms of diabetes, one must acknowledge that the extremes of the disease spectrum are fairly easy to recognize and seem to differ in their genetic predisposition. Both type 1 and type 2 exhibit genetic predisposition to the disease but the environmental contribution to type 2 diabetes is much more prominent [23].

      Common genetic variation in more than 200 loci has been associated with type 2 diabetes. The risk conferred by most of these variants is small – indeed knowledge of genetic variation at the 18 loci with greatest effect on disease risk did not appreciably alter the performance of a prediction model utilizing anthropometric information and family history [24]. Although later models incorporating genetic information from additional loci improved their predictive performance, especially in younger adults, it remains apparent that genetic information is unhelpful in predicting type 2 diabetes risk at an individual level [25].

      In contrast, genetic variation in the human leukocyte antigen (HLA) confers more than half of the genetic risk of type 1 diabetes. HLA binds and processes antigen‐presentation to the immune system. A handful of other loci involved in immune response pathways confer significant additional risk. Other variants (~50) also contribute smaller effects. Most of the loci associated with type 1 diabetes alter immune regulation [26–28].