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1.
Metabolism ; 114: 154414, 2021 01.
Article in English | MEDLINE | ID: mdl-33129839

ABSTRACT

AIMS/HYPOTHESIS: Type 2 diabetes (T2D) is characterized by a progressive loss of beta-cell function, and the "disappearance" of beta-cells in T2D may also be caused by the process of beta -cell dedifferentiation. Since noradrenergic innervation inhibits insulin secretion and density of noradrenergic fibers is increased in type 2 diabetes mouse models, we aimed to study the relation between islet innervation, dedifferentiation and beta-cell function in humans. METHODS: Using immunohistochemistry and electron microscopy, we analyzed pancreata from organ donors and from patients undergoing pancreatic surgery. In the latter, a pre-surgical detailed metabolic characterization by oral glucose tolerance test (OGTT) and hyperglycemic clamp was performed before surgery, thus obtaining in vivo functional parameters of beta-cell function and insulin secretion. RESULTS: The islets of diabetic subjects were 3 times more innervated than controls (0.91 ±â€¯0.21 vs 0.32 ±â€¯0.10, n.fibers/islet; p = 0.01), and directly correlated with the dedifferentiation score (r = 0.39; p = 0.03). In vivo functional parameters of insulin secretion, assessed by hyperglycemic clamp, negatively correlated with the increase in fibers [beta-cell Glucose Sensitivity (r = -0.84; p = 0.01), incremental second-phase insulin secretion (r = -0.84, p = 0.03) and arginine-stimulated insulin secretion (r = -0.76, p = 0.04)]. Moreover, we observed a progressive increase in fibers, paralleling worsening glucose tolerance (from NGT through IGT to T2D). CONCLUSIONS/INTERPRETATION: Noradrenergic fibers are significantly increased in the islets of diabetic subjects and this positively correlates with beta-cell dedifferentiation score. The correlation between in vivo insulin secretion parameters and the density of pancreatic noradrenergic fibers suggests a significant involvement of these fibers in the pathogenesis of the disease, and indirectly, in the islet dedifferentiation process.


Subject(s)
Adrenergic Neurons/physiology , Cell Dedifferentiation/physiology , Diabetes Mellitus, Type 2/metabolism , Glyburide/metabolism , Insulin Secretion/physiology , Insulin-Secreting Cells/metabolism , Nerve Fibers/physiology , Aged , Blood Glucose/metabolism , Female , Glucose Intolerance/metabolism , Humans , Insulin/metabolism , Islets of Langerhans/metabolism , Male , Middle Aged
2.
Minerva Endocrinol ; 37(3): 211-20, 2012 Sep.
Article in English | MEDLINE | ID: mdl-22766888

ABSTRACT

Metabolic syndrome (MS) is a cluster of risk factors that predispose to major cardiovascular diseases and its complications, determining liver and kidney impairment. In the last decade, the indications to transplantation are increasing, with a linear incidence of the complications of the procedure. MS represents one of the commonest, being in turn may the consequence of the underlying disease that required the transplantation, or the result of the medical treatment, as well as one of the most important factor influencing the morbidity and mortality of the transplanted patients. Due to the growing incidence of the MS in these patients, it is crucial to focus and clarify the leading causes determining the onset of the metabolic disarrangement, its outcome and the hypothetical mechanism through which the clinicians could reduce the impact of the disease. In fact, prevention, early recognition, and treatment of the factor that could predict the onset or progression of the MS after the transplantation may impact long term survival of patients, that is again the scope of the same transplant. This review will update the different mechanisMS of the pathogenesis of MS in this population, the clinical effects of the presence of the MS, observing the risk factors to be treated before and after the transplantation and suggesting the management of the follow-up.


Subject(s)
Immunosuppressive Agents/adverse effects , Kidney Transplantation/adverse effects , Metabolic Syndrome/diagnosis , Metabolic Syndrome/etiology , Body Mass Index , Humans , Incidence , Italy/epidemiology , Metabolic Syndrome/complications , Metabolic Syndrome/mortality , Metabolic Syndrome/prevention & control , Renal Insufficiency/surgery , Risk Factors , Survival Rate
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