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No abstract is provided for this article.
Note that all the calculations in the article were carried out with the correct version of Equation 7 and, therefore, are unaffected by this revision.
Type 1 diabetes mellitus (T1DM) results from the autoimmune destruction of β cells of the endocrine pancreas. Pathogenesis of T1DM is different from that of type 2 diabetes mellitus, where both insulin resistance and reduced secretion of insulin by the β cells play a synergistic role. We will present genetic, environmental and immunologic factors that destroy β cells of the endocrine pancreas and lead to insulin deficiency. The process of autoimmune destruction takes place in genetically susceptible individuals under the triggering effect of one or more environmental factors and usually progresses over a period of many months to years, during which period patients are asymptomatic and euglycemic, but positive for relevant autoantibodies. Symptomatic hyperglycemia and frank diabetes occur after a long latency period, which reflects the large percentage of β cells that need to be destroyed before overt diabetes become evident.
Abstract Fatigue is a frequent reason for seeking medical attention. Endocrine dysfunction is a common etiology of fatigue. In fact, thyroid function is usually one of the first explanations on the list of possible diagnoses. The symptoms associated with endocrinopathies are frequently “nonspecific,” and psychiatric disease or psychological disorders need to be differentiated. Often, this can be accomplished using biological measures of hormone function, such as measures of thyroid, pituitary, parathyroid, and adrenal hormone levels. The field of endocrinology is highly dependent on an algorithmic approach to differential diagnosis using hormone levels as the guide. The use of self‐reports helps identify at‐risk patients, and raises suspicions about whether there is an abnormality, but diagnosis is dependent on laboratory values. Metabolic abnormalities, such as hyper‐ or hypoglycemia, dyslipidemia, and gonadal dysfunction can also contribute to fatigue. A better understanding of the interactions among hormones, their releasing factors, and regulation of inflammation will help identify abnormalities early and help distinguish endocrinopathies from other causes of fatigue. Early identification of these abnormalities may reduce end‐organ damage and improve treatment strategies.
Fertile females of a New World primate species, the squirrel monkey (Saimiri sciureus), have plasma progesterone concentrations that vary between 57 and 510 ng/ml during the reproductive cycle and are 10- to 20-fold higher than those seen in cynomolgus monkeys (Macaca fascicularis) and other Old World primates, including man. The plasma progesterone level during pregnancy is high and varies between 140 and 490 ng/ml. Estradiol levels during the reproductive cycle and pregnancy are also higher than those of cynomolgus monkeys. After 2-day treatment of ovariectomized monkeys with estradiol in oil, the progesterone receptor content in the uterine cytosol of the squirrel monkey is one eighth that in similarly treated cynomolgus monkeys [60.4 +/- 6.5 fmol R5020 bound/mg protein vs. 496 +/- 55 (mean +/- SE); n = 8]. The receptor affinity for R5020 is the same in both species. Thus, the elevated plasma progesterone levels in squirrel monkeys appear to be a compensatory response to a receptor-mediated decrease in sensitivity to progesterone. The squirrel monkey may be a model for the study of the mechanism of action and regulation of secretion of progesterone.
Abstract Objective To investigate the effect of the time spent on quarantine on distress, anxiety, depression, and somatization of chronic disease patients during the COVID-19 quarantine in Greece and the differences in these parameters between healthy individuals and chronic disease patients. Method The sample consisted of 943 healthy individuals and 163 patients (respiratory, autoimmune, cardiovascular, endocrine, patients with other diseases, and patients with more than one disease) completing sociodemographic assessments as well as the 4-Dimensional Symptom Questionnaire (4DSQ) during March 30, 2020 to May 3, 2020. Pearson's correlation was used to search for the association between time spent on quarantine and the 4DSQ subscales (distress, anxiety, depression, and somatization). Independent sample T-test and Glass's Δ were used for differences between healthy individuals and chronic disease patients in these subscales, an analysis also carried out between healthy individuals and all patient subgroups. Results No statistically significant correlations were noted between the 4DSQ subscales and the quarantine duration, both for the patient and the healthy individuals’ group. Chronic disease patients had significantly higher levels of distress ( p = 0.001, Δ = 0.28) and somatization ( p = 0.000, Δ = 0.47), but not there were no significant differences in anxiety ( p = 0.098, Δ = 0.14) and depression ( p = 0.052, Δ = 0.19). Concerning head-to-head comparisons between the healthy individuals’ group and each patient group, significantly higher scores in distress were found only for patients with respiratory diseases ( p = 0.028, Δ = 0.42). Regarding somatization, significantly higher scores were noted for the healthy individuals’ group compared with patients with autoimmune diseases ( p = 0.010, Δ = 0.62), respiratory diseases ( p = 0.027, Δ = 0.42), other diseases ( p = 0.003, Δ = 0.55), and more than one disease ( p = 0.012, Δ = 0.60). No statistically significant differences were found in anxiety and depression. Significance of results The results of this study indicate that interventional programs for chronic disease patients during quarantine should focus on distress and somatization, not on anxiety and depression. Respiratory patients might have more supportive care needs compared with patients with other diseases.
