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Query: UMLS:C0011854 (type 1 diabetes)
 20,749 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

This is the second a series of three articles which reviews the identification of risk factors of a disease, here: diabetes or complications of diabetes. In the first of the series [1], we gave the definition of a risk factor, along with measures of its force-relative risk and odds ratio, followed by the epidemiological definitions of the diseases: diabetes, coronary heart disease and hypertension. Risk factors were further discussed and we completed the discussion by some observations on the bias which can arise from a study or from its analysis, which can lead the researcher to the wrong conclusion. In this second article we define the three types of epidemiological studies which are used to determine whether factors are associated with a disease: observational or cross-sectional studies, cohort studies and casecohort studies. Examples are provided of each of these study types; their advantages and disadvantages are discussed. The final paper will provide some examples of the identification of risk factors from the literature. The first example involves diabetes and pancreatic cancer, the second birth weight and non-insulin dependent diabetes. Having found an association between a risk factor and diabetes, we will discuss whether it can be considered to be a risk factor, and if so whether it is likely to be a cause of the disease.
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PMID:Risk factors and their identification second part: study designs for identification of risk factors. 755 16

This series of three articles reviews the designs of studies which can be used to identify risk factors of a disease, here: diabetes or complications of diabetes. In the present issue of Diabete & Metabolisme, the first article of the series, we give the definition of a risk factor, along with measures of its force--relative risk and odds ratio, followed by the epidemiological definitions of the diseases: diabetes, coronary heart disease and hypertension. Risk factors are further discussed and we complete the discussion by some observations on the bias which can arise from a study or from its analysis, which can lead the researcher to the wrong conclusion. The three types of epidemiological studies which are used to determine whether factors are associated with a disease: observational or cross-sectional studies, cohort studies and case-cohort studies will be described in the second of the series in the next issue of the journal. Examples will be provided of each of these study types; their advantages and disadvantages will be discussed. In a third issue, the final paper will provide some examples of the study types and the identification of risk factors. The first examples involve diabetes and pancreatic cancer, the second birth weight and non-insulin dependent diabetes. Having found an association between a risk factor and diabetes, then we will discuss whether it can be considered to be a risk factor and if so and whether it is likely to be a cause of the disease.
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PMID:Risk factors and their identification. First Part: What is a risk factor? 778 49

We evaluated levels of insulin-like growth factor-I and interleukin-1 alpha and beta in patients with pancreatic cancer; the role of these substances in tumor spread and in hyperglycemia was also investigated. Thirty pancreatic cancer patients (21 with hyperglycemia) were compared with others with diseases causing hyperglycemia [liver cirrhosis (14 cases, 12 with hyperglycemia), chronic pancreatitis (20 cases, 12 with hyperglycemia), type I diabetes mellitus (13 cases, all hyperglycemic)]. Insulin-like growth factor-I was significantly reduced in patients with liver cirrhosis, probably due to a reduced hepatic capacity for synthesis. It was increased in 6 of 30 pancreatic cancer patients; in these subjects it was correlated with alanine aminotransferase and C-peptide, but not with tumor diameter or the presence of metastases. Interleukin-1 alpha and beta were both elevated in pancreatic cancer patients. The former was high, while the latter was low when liver metastases were present. Neither was related to glucose or C-peptide levels. In summary, insulin-like growth factor-I levels are increased in some pancreatic cancer patients but this does not seem to favor tumor spread; however IGF-I could be involved influencing glucose homeostasis. Interleukin-1 alpha increased, while interleukin-1 beta decreased in pancreatic cancer patients with metastases, suggesting a different involvement of these two substances in pancreatic cancer spread.
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PMID:Insulin-like growth factor-I, interleukin-1 alpha and beta in pancreatic cancer: role in tumor invasiveness and associated diabetes. 778 9

To evaluate beta-cell function in patients with pancreatic cancer, the glucagon stimulation test was performed in seven patients with pancreatic adenocarcinoma, seven patients with type I diabetes mellitus, seven patients with type II diabetes mellitus, and in seven healthy controls. C-peptide serum levels were determined before and after a 1-mg i.v. glucagon injection. Basal C-peptide values were normal or slightly increased in pancreatic cancer and type II diabetic patients and low in type I diabetic patients. Following glucagon stimulation, no significant increase was observed in C-peptide values of type I diabetics and pancreatic cancer patients, whereas significant increases occurred in controls and type II diabetics. It is concluded that the altered beta-cell function found in pancreatic cancer patients may lead to hyperglycemia, which is frequently associated with this tumor type.
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PMID:Beta-cell function in pancreatic adenocarcinoma. 802 55

The pathogenetic mechanism underlying glucose intolerance in pancreatic cancer is still unclear. We studied the pattern of three glucose regulating hormones (C-peptide, glucagon and GH) in pancreatic cancer patients with (N = 34) and without (N = 8) hyperglycemia, and compared the findings made with those from subjects with other hyperglycemic conditions of well-known origin [type I diabetes mellitus (8 cases) and diabetes mellitus secondary to chronic pancreatitis (13 cases) or liver cirrhosis (4 cases)]. In hyperglycemic pancreatic cancer patients, C-peptide was absent in 26% of the cases, reduced in 24%, elevated in 29% and within the normal range in the remaining 21%. In normoglycemic pancreatic cancer this hormone was reduced in two cases (25%) and within the normal range in all the others. GH was within the normal range in all cases: glucagon was below the normal range in some hyperglycemic pancreatic cancer patients (41%) or within the normal range in all the remaining patients. No correlations were found between the three hormones when findings from subjects were considered all together. However, in pancreatic cancer C-peptide and glucagon presented consensual variations. C-peptide, glucagon and GH levels were not related to tumor volume; glucagon was found to be associated with liver metastases. C-peptide was correlated with serum ALT and ALP. We may conclude that hyperglycemia associated with pancreatic cancer may be caused by different mechanisms. In some cases a reduced secretion of both insulin and glucagon was observed, as occurs in chronic pancreatitis. In the majority of patients, beta cell function appears normal, and the hyperglycemic state may depend on an altered peripheral sensitivity to insulin due to the pancreatic pathology itself or to consensual liver involvement.
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PMID:C-peptide pattern in patients with pancreatic cancer. 813 97

This is the final of a series of three articles in Diabete & Metabolisme which reviews the identification of risk factors of a disease, here: diabetes or complications of diabetes. In the first of the series [1], we gave the definition of a risk factor, along with measures of its force-relative risk and odds ratio, followed by the epidemiological definitions of the diseases: diabetes, coronary heart disease and hypertension. Risk factors were further discussed and we completed the discussion by some observations on the bias which can arise from a study or from its analysis, which can lead the researcher to the wrong conclusion. The three types of epidemiological studies which are used to determine whether factors are associated with a disease: observational or cross-sectional studies, cohort studies and case-cohort studies are described in the second of the series [2]. Examples were provided of each of these study types and their advantages and disadvantages were discussed. This final paper provides some examples of the study types and the identification of risk factors from the literature. The first examples involve diabetes and pancreatic cancer, the second birth weight and non-insulin dependent diabetes. Having found an association between a risk factor and a disease, we then discuss whether it can be considered to be a risk factor, and if so and whether it is likely to be a cause of the disease.
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PMID:Risk factors and their identification. Third Part: Examples. 852 68

The prevalence of overweight (body mass index, BMI, between 25 and 30 kg/m2) and obesity (BMI of 30 kg/m2 or higher) is increasing rapidly worldwide, especially in developing countries and countries undergoing economic transition to a market economy. One consequence of obesity is an increased risk of developing type II diabetes. Overall, there is considerable evidence that overweight and obesity are associated with risk for some of the most common cancers. There is convincing evidence of a positive association between overweight/obesity and risk for adenocarcinoma of the oesophagus and the gastric cardia, colorectal cancer, postmenopausal breast cancer, endometrial cancer and kidney cancer (renal-cell). Premenopausal breast cancer seems to be inversely related to obesity. For all other cancer sites the evidence of an association between overweight/obesity and cancer is inadequate, although there are studies suggesting an increased risk of cancers of the liver, gallbladder, pancreas, thyroid gland and in lymphoid and haematopoietic tissue. Far less is known about the association between diabetes mellitus type I (also called insulin dependent diabetes mellitus or juvenile diabetes), type II diabetes (called non-insulin dependent diabetes mellitus or adult onset diabetes mellitus) and cancer risk. The most common type of diabetes mellitus, type II, seems to be associated with liver and pancreas cancer and probably with colorectal cancer. Some studies suggest an association with endometrial and postmenopausal breast cancer. Studies reporting on the association between type I diabetes mellitus, which is relatively rare in most populations and cancer risk are scanty, but suggest a possible association with endometrial cancer. Overweight and obesity, as well as type II diabetes mellitus are largely preventable through changes in lifestyle. The fundamental causes of the obesity epidemic-and consequently the diabetes type II epidemic-are societal, resulting from an environment that promotes sedentary lifestyles and over-consumption of energy. The health consequences and economic costs of the overweight, obesity and type II diabetes epidemics are enormous. Avoiding overweight and obesity, as well as preventing type II diabetes mellitus, is an important purpose to prevent cancer and other diseases. Prevention of obesity and type II diabetes should begin early in life and be based on the life-long health eating and physical activity patterns. Substantial public investments in preventing overweight, obesity and type II diabetes mellitus are both appropriate and necessary in order to have a major impact on their adverse health effects including cancer.
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PMID:Obesity and diabetes epidemics: cancer repercussions. 1863 86

A lifelong-implanted and completely automated artificial or bioartificial pancreas (BAP) is the holy grail for type 1 diabetes treatment, and could be a definitive solution even for other severe pathologies, such as pancreatitis and pancreas cancer. Technology has made several important steps forward in the last years, providing new hope for the realization of such devices, whose feasibility is strictly connected to advances in glucose sensor technology, subcutaneous and intraperitoneal insulin pump development, the design of closed-loop control algorithms for mechatronic pancreases, as well as cell and tissue engineering and cell encapsulation for biohybrid pancreases. Furthermore, smart integration of the mentioned components and biocompatibility issues must be addressed, bearing in mind that, for mechatronic pancreases, it is most important to consider how to recharge implanted batteries and refill implanted insulin reservoirs without requiring periodic surgical interventions. This review describes recent advancements in technologies and concepts related to artificial and bioartificial pancreases, and assesses how far we are from a lifelong-implanted and self-working pancreas substitute that can fully restore the quality of life of a diabetic (or other type of) patient.
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PMID:Wearable and implantable pancreas substitutes. 2299 Sep 86

Islet transplantation-based therapies were proven successful for type 1 diabetes mellitus, but an extreme shortage of pancreatic islets has motivated recent efforts to develop renewable sources of islet-replacement tissue. Pancreatic progenitor cells hold a promising potential, yet attempts at their prospective isolation are scarce due to the lack of specific marker. We found that prominin-1 (often referred to as CD133 in humans) is expressed by the undifferentiated epithelial cells in the mouse embryonic pancreas. Putative pancreatic epithelial stem and progenitor cells were prospectively enriched in prominin-1(+) cell population by cell sorting and characterized. CD133 is also a cell surface marker of human pancreatic cancer stem cells (CSC), which are resistant to conventional treatments such as chemotherapy and radiotherapy. Therefore, a considerable interest in the specific targeting and eradication of CSC is emerging for the cancer therapy, and CD133 may represent a good molecular target. In this chapter, I will summarize our current knowledge about prominin-1/CD133 in mouse and human pancreas.
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PMID:Prominin-1 (CD133) Reveals New Faces of Pancreatic Progenitor Cells and Cancer Stem Cells: Current Knowledge and Therapeutic Perspectives. 2316 Oct 83

Novel variants associated with chronic pancreatitis are being increasingly reported. However, most studies have so far only analyzed point mutations and small insertions or deletions. Here we report the characterization of two distinct deletions of the CTRC locus. Variants in four chronic pancreatitis genes, PRSS1, SPINK1, CTRC and CFTR, were systematically analyzed in the studied cases. Copy number change of the CTRC gene was analyzed by quantitative fluorescent multiplex PCR (QFM-PCR). Walking QFM-PCR followed by long-range PCR and direct sequencing were employed to identify the deletion breakpoints at the nucleotide level. A heterozygous CTRC-deleting complex rearrangement, which was co-inherited with different trans variants in SPINK1, CFTR or PRSS1, is associated with variable phenotypes (chronic pancreatitis; pancreatic cancer and chronic pancreatitis; and type 1 diabetes). Moreover, a different homozygous deletion of the CTRC locus was found in an unrelated patient with asymptomatic chronic pancreatitis. Our findings revealed a hitherto unrecognized level of complexity of genotype-phenotype correlation in chronic pancreatitis. The CTRC-deleting complex rearrangement probably resulted from LINE-1-mediated Alu insertion, which represents a novel mutational mechanism causing chronic pancreatitis.
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PMID:Characterization of two deletions of the CTRC locus. 2372 90


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