جستجوی مقالات مرتبط با کلیدواژه "non-diabetic" در نشریات گروه "پزشکی"
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Background
Peroxisome proliferator-activated receptor gamma (PPARγ) has recently been studied for its potential influence on the functional response of the human body to exercise. We aimed to investigate the association of habitual physical activity (PA) with PPARγ mRNA level in the visceral and subcutaneous adipose tissues (VAT and SAT) in non-obese and obese non-diabetic adults.
MethodsVAT and SAT were obtained from 95 individuals, including 40 non-obese (BMI<30kg/m2) and 55 obese (BMI≥30kg/m2) who underwent elective abdominal surgery (Tehran, Iran, 2012-2015). The assessment of habitual PA was performed by a valid and reliable International PA Questionnaire-long form, and the metabolic equivalent of task (MET) was evaluated. Real-time quantitative reverse transcriptase-PCR evaluated the PPARγ expression in VAT and SAT.
ResultsPPARγ expression in both VAT (1.18 vs. 0.37 fold change, P<0.001) and SAT (2.07 vs. 0.29 fold change, P=0.004) among obese subjects was higher than the non-obese group. After controlling for age, sex, and total energy intake, a positive association was found between total METs and PPARγ expression in both VAT and SAT among obese participants (β=0.22, P=0.007 and β=0.12, P<0.001, respectively). Among obese participants, there was a direct association between leisure time-related METs with VAT PPARγ expression (β=0.05, P=0.026). Moreover, in this group, an association was observed between occupation-related METs with PPARγ in both fat tissues (β=0.11, P=0.002 and β=0.17, P=0.013, respectively), and household work-related METs with SAT PPARγ (β=0.21, P=0.011).
ConclusionHigh PA as an indispensable part of a healthy lifestyle may exert its beneficial effect by regulating PPARγ expression.
Keywords: Adipose tissue, Exercise, Non-diabetic -
زمینه و هدف
کووید-19 نوعی به عنوان بیماری تنفسی عفونی به یکی از مهم ترین چالش های اخیر سیستم های مراقبت های بهداشتی تبدیل شد که موجب ایجاد عوارض مختلف و در موارد شدیدتر مرگ در افراد می گردد. افراد دارای بیماری های زمینه ای از جمله دیابت، بیشتر در معرض عوارض ناشی از این بیماری هستند و نیاز به مراقبت بیشتری دارند. این مطالعه با هدف بررسی و مقایسه عوارض احتمالی ناشی از کووید-19در افراد دیابتی و غیردیابتی انجام شد.
روش کاراین مطالعه مقطعی است روی 415 بیمار مبتلا به کووید-19 در بیمارستان شهید محمدی دانشگاه علوم پزشکی هرمزگان از فوریه تا سپتامبر 2020 انجام شد. براساس سابقه ابتلا به دیابت، بیماران به دو گروه دیابتی و غیردیابتی تقسیم شدند. اطلاعات جمعیت شناختی، بالینی، سبک زندگی و نتایج آزمایشگاهی در افراد تعیین شد. برای مقایسه متغیرها بین افراد دیابتی و غیر دیابتی از آزمون t مستقل یا آزمون Man-Whitney U و Chi-Square یا Fisher's-Exact استفاده شد.
یافته هادر افراد دیابتی، در نمونه های زنده در مقایسه با فوت شده ها، میانگین هموگلوبین و میزان لنفوسیت به شکل معناداری کمتر و میانگین نوتروفیل، آسپارتات آمینوترانسفراز، نیتروژن اوره خون، لاکتات دهیدروژناز و کراتینین بطور معناداری بیشتر بود. مقایسه هیچ از این متغیرها در جمعیت غیردیابتی تفاوت معناداری را نشان نداد. همچنین در بیماران دیابتی در مقایسه با گروه های PCR مثبت و منفی، اختلاف معناداری بین نمونه های بقا و مرگ وجود داشت. درمان با کورتون همچنین در بین جمعیت بیماران دیابتی به شکل معناداری منجر به تفاوت در تعداد موارد بقا و مرگ شد. مقایسه هیچ از این عوامل در جمعیت غیردیابتی تفاوت معناداری را نشان نداد.
نتیجه گیریدر این مطالعه، میزان مرگ ومیر در بیماران دیابتی به طور معناداری با لنفوپنی، افزایش LDH و افزایش AST و افزایشBUN و کراتینین در مقایسه با افراد غیردیابتی مرتبط بود از این رو، مراقبت بیشتری در دیابتی ها مبتلا به کووید-19 ضروری است.
کلید واژگان: کووید 19, دیابتی, غیر دیابتیBackground & AimsCOVID-19 is a viral respiratory disease caused by SARS-COV-2, which affects the lower respiratory tract, and causes pneumonia in patients. The disease rapidly spread around the world after the outbreak in late 2019, and became one of the challenges of health care systems. Older adults and patients with underlying diseases such as cardiovascular diseases, hypertension, and diabetes are at a higher risk for COVID-19, and need more care. Due to its prevalence in older adults and normal population, diabetes is important in terms of putting a burden on intensive care systems during the COVID-19 pandemic. Diabetes is also one of the most common comorbidities in patients with COVID-19, which is considered a risk factor for these patients. In addition, the association between diabetes and respiratory distress syndrome is not yet fully understood. Some studies have suggested that diabetes is not associated with respiratory distress syndrome while some others suggest that pulmonary dysfunction follows diabetes. It is also unclear what factors are associated with disease prognosis and mortality in COVID-19 patients with diabetes. In the current study, we aimed to investigate the status of demographic factors, comorbidities, lifestyle and laboratory results in diabetic patients with COVID-19, and compare them with the non-diabetic population and determine the prognostic factors in diabetic patients with COVID-19.
MethodsThis study is a cross-sectional study performed on 415 patients with COVID-19 in the COVID-19 ward of Shahid Mohammadi Hospital of Hormozgan University of Medical Sciences from February to September 2020. Based on their diabetes, these patients were divided into diabetic and non-diabetic groups. Then, data on demographic factors, smoking, opioids and alcohol consumption, comorbidities (chronic lung disease, asthma, obesity, chronic kidney disease, type 2 diabetes, dementia, malnutrition, chronic neurological disease, rheumatic disease, hypertension, hyperthyroidism, hypothyroidism, favism, hyperlipidemia, and malignant neoplasms), some personal lifestyle features were determined in diabetic patients and compared with non-diabetic populations. Also, the information on biochemical variables, including hemoglobin, white blood cells, lymphocyte, neutrophils, hematocrit, platelets, prothrombin time, alanine aminotransferase, bilirubin, aspartate transaminase, lactate dehydrogenase, blood urea nitrogen, creatinine, blood glucose, sodium, potassium, C reactive protein were measured patients of the two groups. Also, heart rate, respiratory rate, systolic blood pressure, diastolic blood pressure, temperature, and oxygen saturation were determined in diabetic and non-diabetic patients.Quantitative variables were described by number (n) and percentage (٪). Qualitative variables were described using mean and standard deviation (SD), median and interquartile range (IQR). The Shapiro-Wilk test was used to assess the normality of quantitative variables. Independent t-test or Man-Whitney U test, and Chi-square or Fisher's exact tests were used to compare variables. In all statistical analyses, a p-value less than 0.05 was considered statistically significant. Statistical analysis was performed by IBM SPSS version 22 (IBM Corporation, Armonk, NY, USA).
ResultsThe findings of our study showed that in the diabetic patients’ group 82 patients (41.2%) and in the non-diabetic population 135 patients (55.32 %) were men. In the diabetic group, the mean age of recovered patients was 58.52 years and the mean age of those in the deceased was 57.73 years, which was not statistically significant. In the non-diabetic group, the mean age of patients recovered was 47.98 years and the mean age of those in the deceased was 62.58 years, which was statistically significant (p <0.001). In the diabetic population, 773 patients (42.69 %) and in the non-diabetic population, 132 patients (54.09 %) had positive PCR. In the diabetic population, 18 patients (10.59 %) and in the non-diabetic population, 10 patients (4.09 %) had chronic kidney disease. In the diabetic population, 11 patients (6.43 %) and in the non-diabetic population, 13 patients (5.32 %) smoked. In the population of diabetic patients, the mean level of hemoglobin (P = 0.002) and lymphocyte count (P = 0.043) in the living cases were significantly lower than those in the deceased. The mean levels of neutrophils (P = 0.012), aspartate transaminase (P = 0.020), lactate dehydrogenase (P = 0.041), blood urea nitrogen (P = 0.003), and creatinine (P = 0.011) in the diabetic population were significantly higher in the living cases than those in the deceased, but the comparison of these cases in the non-diabetic population did not show a significant difference.In diabetic patients, there was a significant difference between the number of survival and death in each group of positive and negative PCR (P = 0.011); While the difference in mortality and survival between PCR positive and negative groups in non-diabetic subjects was not significant. In diabetic patients, a significant difference was also reported between the number of survival and death in groups with CKD and without CKD; while in non-diabetic participants there was no significant difference between CKD and non-CKD groups in terms of survival and death. Corticosteroid treatment also significantly led to a difference in the number of survival and death cases among the diabetic population, but a comparison of these cases in the non-diabetic population did not show a significant difference.In the group of diabetic patients, respiration rate (number of breaths per minute) was significantly lower among the living cases compared to those in the deceased (P < 0.05), while our findings in this regard did not show a significant difference in non-diabetic individuals. Also, in diabetic patients, the amount of oxygen saturation was significantly higher among the living cases than those in the deceased (P < 0.05), in which case the same results were observed in non-diabetic patients (P < 0.05).
ConclusionIn this study, the mortality rate in diabetic patients was significantly associated with lymphopenia, elevated aspartate transaminase, lactate dehydrogenase, blood urea nitrogen, and creatinine compared to non-diabetic patients. Our findings suggest that individuals with type 2 diabetes are more prone to complications of COVID-19 and its related mortality; therefore these patients need more medical attention in the COVID-19 pandemic. Also, considering that so far limited studies have focused on the possible differences in the complications of Covid-19 disease and its mortality in diabetic individuals compared to non-diabetic individuals, it is recommended that more studies with higher sample sizes in other populations be performed to confirm the results of the present study.
Keywords: COVID-19, Diabetic, Non-diabetic -
Recent clinical research studies evaluated metformin's potential effects as a weight-reducing drug in non-diabetic individuals despite its glucose-lowering effects. Metformin reduces weight by acting on the appetite regulatory pathways, peripheral fat metabolism, and averse unfavorable fat storage. Clinical recent findings indicated that individuals maintain weight with the help of lifestyle modifications and bariatric surgery. However, metformin's clinical efficacy on weight loss helped the individuals overcome overweight and obesity complications. Metformin alters the hypothalamic physiology, including insulin and leptin sensitivity. Furthermore, metformin regulates the circadian rhythm changes and gastrointestinal physiology by affecting food intake and regulating fat oxidation, storage fat in the liver, muscles, and adipose tissues. Research also indicated other appetite suppressing medications such as topiramate, lorcaserin, and phentermine along with metformin also seems logical but clinical data reported that their weight loss results are lacking. However, more detailed research on how metformin induces weight loss in non-diabetic individuals and the prescription of other pharmacological interventions is needed.
Keywords: Metformin, Obesity, Weight loss, Hypothalamus, Non-diabetic -
BackgroundThe aim of this study was to assess the relationship between hypertension and aldosterone-renin ratio (ARR) with the severity of coronary artery disease (CAD).MethodsThis cross-sectional study was performed on non-diabetic patients who were candidate for coronary angiography in Shafa hospital in Kerman in 2017. The levels of active renin and aldosterone were measured by the radioimmunoassay (RIA) method before angiography. All patients underwent coronary angiography to determine the severity of CAD. The CAD severity was described by the Gensini score.ResultsOf the 306 patients, 174 (55.1%) were hypertensive. The overall prevalence of CAD in hypertensive and normotensive groups was not statistically different (39.7% versus 38.9%, p = 0.898). In groups with and without hypertension, normal coronary arteries were found in 60.3% and 60.8%, single-vessel disease in 15.5% and 17.7%, two-vessel disease in 14.4% and 11.5%, and three-vessel disease in 9.8% and 10.0%, respectively. The differences were not significant (p = 0.880). The average Gensini scores in hypertensive and normotensive groups were 29.27 ± 28.42 and 33.74 ± 33.05, respectively with no significant differences (p = 0.370). The mean ARR in those with normal coronaries, one, two, and three-vessel diseases was 3.17 ± 7.63, 2.51 ± 4.21, 1.93 ±1.57, and 1.20 ± 0.68, respectively with no significant difference (p = 0.696). We did not observe any association between the Gensini score and ARR (r = -0.126, p = 0.263). In multivariable linear regression model (Table 3), ARR could not predict the severity of CAD assessed by determining the Gensini score (Beta = -0.463, p = 0.636).ConclusionThere was no significant relation between hypertension and ARR to the severity of CAD.Keywords: Coronary Artery Disease, Coronary Angiography, Non-diabetic
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IntroductionThe oxidative stress and inflammation are cooperative events involved in atherosclerosis development. In the present study, we assessed the association ofmalondialdehyde (MDA), antioxidant markers, high sensitive C-reactive protein (HS-CRP)and lipid status parameters in non-diabetic patients with coronary artery disease (CAD) orvessel heart disease (VHD). Significant risk factors such as diabetes were excluded from thestudy.MethodsOxidative stress parameters for example MDA, antioxidant markers including:erythrocyte superoxide dismutase (SOD), glutathione peroxidase (GPX), total antioxidant capacity (TAC), inflammation marker and serum lipid status parameters were measured in 120 subjects including 60 CAD patients (non-diabetic) with angiographically diagnosed CADand 60 CAD-free subjects as a control group, also diabetic patients with malignancy, renal andliver disease, and other disease were excluded from the study.ResultsThe serum MDA and HS-CRP levels were increased significantly as compared to thecontrols. However, erythrocyte SOD, GPX activities and TAC level were reduced significantly in patients (non-diabetic) (PConclusionThe association between oxidative stress parameters, antioxidant markers, theinflammation index and lipid status parameters suggest their involvement in atherosclerosis development that may lead to CAD progression.Keywords: Total antioxidant, Oxidative stress, Inflammation, Non-diabetic, Coronary Artery Disease
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