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Query: UMLS:C0011860 (type 2 diabetes)
 57,723 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The prevalence of diabetes mellitus among patients treated for end-stage renal failure was studied using a questionnaire mailed to all dialysis units of mainland France in 1989. With a response rate of 80.8%, the study population amounted to 12,903 dialysed patients of whom 884 were declared diabetic (6.9%). In a second phase, the study focused on the diabetic patients treated in the 63 largest units (those with at least four diabetic patients). Seven specially trained physicians completed questionnaires after having interviewed the patients and checked their medical records. All this material was reviewed by the same diabetologist. The conflict of diabetes type declared by both sources of information (the nephrologists and the diabetologist) showed a misclassification rate of 31.2%. Using these new data, the prevalence of type 1 diabetes mellitus was estimated at 1.4% of patients on dialysis therapy in mainland France, and 5.5% for type 2 diabetes mellitus. A north-south declining trend was suggested for type 2 diabetes mellitus. Diabetic nephropathy was the only primary renal diagnosis among 93.9% of type 1 diabetic patients, but only for 36.8% of type 2 diabetic patients. Of the latter, 51.6% had a non-diabetic cause of renal failure. These data show that the proportion of diabetics among patients receiving dialysis, while steadily increasing in France, remains lower than in other countries in Europe and in North America. However, the validity of international comparisons depends on diabetes ascertainment. Heterogeneity in selection of patients and in diabetes type classification by dialysis units may account to a considerable degree for the differences between diabetes mellitus prevalence across countries.
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PMID:Diabetes mellitus prevalence among dialysed patients in France (UREMIDIAB study). 133 35

The effects of guar incorporated into a complex spaghetti meal on the glycaemic response in 11 healthy and 6 non-insulin dependent diabetic (NIDDM) subjects was studied. To this end, subjects consumed spaghetti made of either Triticum aestivum or Triticum durum wheat with or without 20 g% guar, as part of a complex meal containing 27% fat, 19% protein and 51% carbohydrate. In both the healthy as well as the NIDDM subjects the incremental integrated postprandial glucose and C-peptide responses after ingestion of a guar spaghetti meal were not different from the values found after a spaghetti meal without guar. In NIDDM subjects the incremental glucose and C-peptide levels were lower at 60 and 90 min and 90 and 150 min respectively after ingestion of guar aestivum spaghetti. Our negative results of effects of guar on postprandial glucose values may be explained by the presence of normal quantities of fat and protein in the meal and imply that addition of dietary fibre to a complex meal is not useful in the dietary management of NIDDM.
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PMID:Absence of guar efficacy in complex spaghetti meals on postprandial glucose and C-peptide levels in healthy control and non-insulin-dependent diabetes mellitus subjects. 133 59

Abdominal obesity is closely associated with risk factors for cardiocerebrovascular disease and NIDDM and the precipitation of these diseases. Together, they seem to constitute a metabolic syndrome where hyperinsulinaemia, insulin resistance, hyperlipidaemia, hypertension, visceral fat accumulation, cardiocerebrovascular disease and NIDDM are the individual constituents. The background to this syndrome might be a primary aberration expressing itself as an increased sensitivity of the hypothalamo-adrenal axis, and subsequent inhibition of sex steroid hormone secretions. This in turn will probably be followed by metabolic derangements, primarily peripheral insulin resistance, as well as by visceral fat accumulation by mechanisms which are partially visualized by recent work in the field. Visceral fat accumulation may then amplify the metabolic aberrations via hepatic effects of excessive concentrations of portal FFA, producing hyperproteinaemia, hyperglycaemia, hyperinsulinaemia and, perhaps, hypertension. The background to the central endocrine aberration remains more speculative, but factors leading to increased cortisol production, including specific stress reactions, tobacco smoking and alcohol may turn out to be important. The tentative conclusion provides a hypothesis for further work, and has recently obtained considerable support from further observations in humans in other than the endocrine and metabolic areas, as well as from studies in experimental animal models, where such factors can be studied under fully controlled conditions, which is not possible in humans for ethical reasons.
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PMID:Regional fat distribution--implications for type II diabetes. 133 83

The obvious syntropy of obesity and type II (non-insulin dependent) diabetes mellitus has always suggested a causal inter-relationship between the two diseases. However, the actual pathophysiological connection still remains to be elucidated. Recent findings have suggested that insulin resistance and hyperinsulinaemia might link glucose intolerance/type II diabetes mellitus, hypertension and hyperlipoproteinaemia in the context of a hypothetical 'syndrome X' characterized by an excessive risk constellation for the development of atherosclerosis. However, as to the practical consequences of the ('diabesity') syndrome of type II diabetes mellitus and structured programmes for effective therapy, very little new information has been gathered during the past 100 years.
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PMID:Risk of obesity in type II diabetes mellitus. 133 84

Insulin resistance contributes to the metabolic defects in non-insulin dependent diabetes mellitus (NIDDM). Anorectic agents have been shown to improve insulin action in NIDDM, irrespective of weight reduction. In a double-blind placebo-controlled cross-over study, we examined hepatic and peripheral insulin action by the sequential hyperinsulinaemic-euglycaemic clamp technique with infusion of 3-[3H]-glucose in eight obese NIDDM patients and in eight obese non-diabetics, matched for age, sex and body mass index. Body weight was kept constant. After 14 days of fluoxetine, 60 mg daily, in NIDDM half-maximal peripheral glucose uptake was achieved at a lower insulin level than after placebo (ED50pgu: 180.5 +/- 25.8 vs. 225.3 +/- 39.9 mU/l, P < 0.05), but not in non-diabetics (140 +/- 15.3 vs. 135.3 +/- 22.2 mU/l, n.s.). Maximal peripheral glucose uptake (Vmaxpgu) did not change significantly. Multivariate analysis disclosed no differences in the effect of fluoxetine between NIDDM and non-diabetics. When non-diabetics and NIDDM were considered together, only the most insulin-resistant individuals demonstrated a decrease in ED50pgu (P < 0.001). Likewise, only the individuals with the most outspoken hepatic insulin resistance demonstrated a decrease in insulin level, at which hepatic glucose production (HGP) is completely suppressed (HGP0) (P < 0.01). In conclusion, fluoxetine improves peripheral and hepatic insulin action in obese insulin-resistant subjects irrespective of its weight lowering effect.
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PMID:Fluoxetine increases insulin action in obese type II (non-insulin dependent) diabetic patients. 133 87

Fluoxetine is an inhibitor of serotonin re-uptake which has been found to produce weight loss in humans and animals. To test the effects of this drug in obese diabetic subjects, 48 male and female, obese type II non-insulin dependent (NIDDM) diabetics who were being treated with insulin were randomized to receive either fluoxetine 60 mg or a placebo once daily in a randomized double-blind fashion for 24 weeks. A four week single-blind placebo lead-in period preceded and a six week single-blind placebo period followed the double-blind treatment period. Subjects performed daily home glucose monitoring and were given instruction in a 1200kcal American Diabetic Association (ADA) diet. Subjects treated with fluoxetine achieved a maximum 8 kg greater weight loss on average than the placebo-treated subjects. At the end of active treatment, fluoxetine-treated subjects had significantly lower glycohaemoglobin levels than the placebo-treated group (9.72 vs. 10.76%, P < 0.05). In addition, fluoxetine-treated subjects showed a greater decrease in total daily insulin dose than placebo-treated subjects (44.5 vs. 20.1% decrease at the end of active treatment, P < 0.05). These results suggest that fluoxetine may be of benefit in the treatment of obese patients with type II non-insulin dependent diabetes mellitus.
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PMID:A randomized double-blind clinical trial of fluoxetine in obese diabetics. 133 89

Diabetes mellitus (DM) is frequently associated with hypertension for which an independent pathomechanism has been suggested. We studied 26 patients with insulin-dependent (IDDM) and 18 patients with non-insulin-dependent (NIDDM) uncomplicated DM; all patients were in metabolic balance and none of them had hypertension. Exchangeable body sodium (NaE was estimated by isotope dilution, using appr. 1.1 Mbq 24NA. In a subset of 8 IDDM and 8 NIDDM patients atrial natriuretic peptide (ANP) plasma concentration was determined prior to and after the infusion of 2000 ml physiological saline over 2 hr. NaE was significantly increased both in IDDM and NIDDM patients (104.4 +/- 11.4% and 109.9 +/- 8.0% of the normal value for healthy subjects of identical body surface area; p < 0.05 and < 0.001 resp.). Mean blood pressure (MBP) correlated significantly with NaE in both groups (r = 0.364 and r = 0.520; p < 0.05 and < 0.025, resp.) but not in healthy control subjects (r = 0.112; N.S.). Resting ANP levels were not significantly different in IDDM (34.9 +/- 11.3 pg/ml), NIDDM (42.6 +/- 11.7 pg/ml) or control subjects (40.9 +/- 17.2 pg/ml) however the infusion of saline resulted in a significantly greater increase of plasma ANP in the NIDDM patients (to 82.9 +/- 43.2 pg/ml; P < 0.01) than in the controls (55.6 +/- 23.7 pg/ml; P < 0.01) which was associated with a significantly less increase in sodium excretion (UNAV) in the NIDDM patients (+86% vs. 3170%; P < 0.02) indicating down-regulation of ANP receptors in the kidney of NIDDM patients.(ABSTRACT TRUNCATED AT 250 WORDS)
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PMID:Body sodium, atrial natriuretic peptide and blood pressure in diabetes mellitus. 134 Jun 60

We designed this study to elucidate a possible involvement of genetic factors which influence the progression of renal dysfunction in patients with non-insulin dependent diabetes mellitus (NIDDM). A total of 328 patients was randomly selected in the Tokai University Hospital. They had been cared for in our hospital as NIDDM for the past five years, until April, 1989. Fifty-six patients with persistent albuminuria, and an equal number of patients without persistent albuminuria were included in this study. No significant differences were observed between the two groups in terms of age, estimated period of illness, blood pressure, body-mass index, HbAlc, blood glucose, total cholesterol, triglyceride level and mean blood pressure. The family histories obtained by questionnaires revealed that there might be some genetic predisposing factors leading to the onset of nephropathy in patients with NIDDM, especially in cases with paternal high blood pressure. It is suggested that paternal hypertension might be related to the development of nephropathy in patients with NIDDM.
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PMID:Genetic predisposing factors in non-insulin dependent diabetes with persistent albuminuria. 134 28

Conflicting evidence has been reported on the metabolic fate of glucose following oral ingestion. We measured the metabolic pattern of gluconeogenic substrates as alanine, predominantly produced by muscle, and lactate after an oral glucose load in ten normal subjects and in eighteen non-insulin dependent diabetes mellitus (NIDDM) subjects. Neither in normal or NIDDM subjects were significant increases in plasma alanine observed, whereas a significant increase in plasma lactate was observed at 60, 90 and 120 min after a glucose load. Although a similar behaviour in plasma alanine and lactate between normal and NIDDM subjects was found, in NIDDM significantly higher levels of plasma alanine and lactate were found at each time. From these observations we conclude: 1) when glucose is ingested under post-absorptive conditions, since plasma alanine levels do not change concurrently with lactate increase, muscle tissue does not play a predominant role in glucose disposal 2) after an oral glucose load, the pattern of gluconeogenic precursors (alanine and lactate) is similar in normal and NIDDM subjects 3) the main cause of fasting and post-prandial hyperglycemia in NIDDM subjects may be due to an overproduction of alanine as well as lactate.
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PMID:Plasma alanine and lactate concentrations following glucose ingestion in normal and NIDDM subjects. 134 5

Lipoprotein(a) [Lp(a)] has been added to the list of independent risk factors for cardiovascular disease (CVD), whose incidence is greater in obese subjects. There are few data available on the serum Lp(a) concentrations in obese individuals with or without insulin dependent diabetes mellitus (NIDDM). We selected 31 obese men with normal glucose tolerance (NGT) tests, 15 obese diabetic men, 14 non obese diabetic men and 17 healthy men as controls. We measured serum total cholesterol, HDL cholesterol, triglycerides, glucose, insulin and Lp(a). The mean Lp(a) levels in NGT obese men were 70.00 +/- 13.40 mg/l, which were similar to those found in normal controls (75.98 +/- 24.70 mg/l); significantly higher mean Lp(a) levels were found in obese diabetic men (168.84 +/- 56.43 mg/l) and in non obese diabetic men (240.85 +/- 63.35 mg/l). No significant correlation between Lp(a) levels and age, body mass index (BMI), total cholesterol, HDL cholesterol, triglycerides, insulin, was found; only a significant positive correlation between Lp(a) levels and glucose could be revealed (P < 0.05). Since higher levels of Lp(a) were found in NIDDM subjects with or without obesity, we conclude that hyperglycemia may influence the levels of serum Lp(a) facilitating its glycosylation in the liver with the consequence of a decline in its catabolic rate.
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PMID:Serum lipoprotein Lp(a) in obesity. 134 6


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