scholarly journals High Prevalence of Toxoplasma gondii Infection in Type I Diabetic Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Qasem Asgari ◽  
Mohammad Hossein Motazedian ◽  
Amir Khazanchin ◽  
Davood Mehrabani ◽  
Shahrbanou Naderi Shahabadi

Background. Type I diabetes (TΙDM) is a genetic or autoimmune disorder, which may be stimulated by induced immune system components due to the underlying infectious diseases. This study was undertaken to find out any possible association between Toxoplasma gondii infection and TIDM. Materials and Methods. One hundred and eighty-two blood samples were taken from individuals who were referred to outpatient clinics in Shiraz city, Southern Iran, during a 6-month period. The age of type I diabetic subjects ( n = 91 ) and the control group ( n = 91 ) was identical, which were less than 30 years. The sera were examined for IgG and IgM antibodies by ELISA and correlated with epidemiological factors such as age, sex, and family history of diabetes. Results. Out of 91 diabetic patients, 54 (59.3%) were female and 37 (40.7%) were male. The highest frequency of diabetes belonged to 6-10- and 11-15-year groups ( P = 0.17 ). Toxoplasma infection prevalence in diabetic and control groups was 28.6% and 7.7%, respectively ( P = 0.001 ). A significantly positive family history of diabetes was observed between diabetic patients (31 cases, 34.1%) and the control group (3 cases, 3.3%) ( P = 0.01 ). Interestingly, IgG positivity was seen in 13 cases (41.9%) of patients with positive family history of type I diabetes and 13 cases (21.7%) of subjects with no positive family history of type I diabetes ( P = 0.04 ). Conclusion. Our study showed a higher prevalence of Toxoplasma infection in type I diabetes patients. It is likely that the prevalence of TIDM decreases by increasing hygiene and preventing toxoplasmosis.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Meng Wang ◽  
Wei-Wei Gong ◽  
Feng Lu ◽  
Ru-Ying Hu ◽  
Qing-Fang He ◽  
...  

Abstract Background Previous studies have indicated inconsistent relationships of diabetes with thyroid cancer risk, yet little is known in China. In this study, we aimed to investigate the associations between diabetes, diabetes duration and the risk of thyroid cancer in Chinese population. Methods A 1:1 matched case-control study was performed between 2015 and 2017 in Zhejiang Province including 2,937 thyroid cancer cases and 2,937 healthy controls. Odds ratios (ORs) with 95 % confidence intervals (CIs) for thyroid cancer were estimated in logistic regression models. Specific effects stratified by age, as well as sex, body mass index (BMI) and family history of diabetes were also examined. Results Overall, neither diabetes (OR = 0.75, 95 % CI: 0.21–2.73) nor diabetes duration (OR = 0.14, 95 % CI: 0.02–1.22 for diabetes duration ≦ 5 years; OR = 2.10, 95 % CI: 0.32–13.94 for diabetes duration > 5 years) was significantly associated with thyroid cancer. In stratified analyses, significant lower risk of thyroid cancer was observed among subjects with diabetes and shorter diabetes duration ( ≦ 5 years), but limited to those who were aged more than 40 years, female, overweight/obese and had positive family history of diabetes. Conclusions Diabetes and shorter diabetes duration were significantly associated with decreased risk of thyroid cancer in individuals characterized by older age, female sex, higher BMI and positive family history of diabetes.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Uzair Abbas ◽  
Bushra Imdad ◽  
Sikander Adil Mughal ◽  
Israr Ahmed Baloch ◽  
Afshan Mehboob Khan ◽  
...  

Abstract Objective MicroRNAs are known to regulate 60% of genes at post translational level. MicroRNAs including Micro RNA-29 family play a vital role in cellular activities and have validate role in numerous metabolic disorders inclusive of diabetes mellitus and its complications. While micro RNA profile changes years before the occurrence of disease. This cross-sectional study was conducted in non-diabetic adults of diabetic and non-diabetic parents to explore the early changes in expression of micro RNA-29 family as it can be served as early biomarker of type 2 diabetes in non-diabetic adults. This study was conducted from January 2019 to January 2021. Micro RNA was extracted from plasma of 50 participants and expression was compared through qPCR. While data was analyzed through SPSS version 21.0. Results 29a and 29b had lower expression in participants with family history of DM compared to those having no family history of DM (P < 0.0001). While micro RNA 29c was found to be significantly higher in participants with positive family history of type 2 diabetes as compared to those without family history of diabetes (P = 0.001).


Author(s):  
Inês Carolina Siqueira Freitas ◽  
Micheli Cristiane Hintz ◽  
Larissa Chaiane Orth ◽  
Tamara Gonçalves da Rosa ◽  
Betine Moehlecke Iser ◽  
...  

Abstract Objective The present study aims to compare the maternal and fetal outcomes of parturients with and without a gestational diabetes diagnosis. Methods A case-control study including parturients with (cases) and without (control) a gestational diabetes diagnosis, who delivered at a teaching hospital in Southern Brazil, between May and August 2018. Primary and secondary data were used. Bivariate analysis and a backward conditional multivariate logistic regression were used to make comparisons between cases and controls, which were expressed by odds ratio (OR), with a 95% confidence interval (95%CI) and a statistical significance level of 5%. Results The cases (n = 47) were more likely to be 35 years old or older compared with the controls (n = 93) (p < 0.001). The cases had 2.56 times greater chance of being overweight (p = 0.014), and a 2.57 times greater chance of having a positive family history of diabetes mellitus (p = 0.01). There was no significant difference regarding weight gain, presence of a previous history of gestational diabetes, height, or delivery route. The mean weight at birth was significantly higher in the infants of mothers diagnosed with diabetes (p = 0.01). There was a 4.7 times greater chance of macrosomia (p < 0.001) and a 5.4 times greater chance of neonatal hypoglycemia (p = 0.01) in the infants of mothers with gestational diabetes. Conclusion Therefore, maternal age, family history of type 2 diabetes, obesity and pregestational overweightness are important associated factors for a higher chance of developing gestational diabetes.


2020 ◽  
Vol 7 (3) ◽  
pp. 482
Author(s):  
J. K. Deshmukh ◽  
P. Y. Mulay ◽  
Amit G. Naghate ◽  
Anant A. Takalkar

Background: There is steady increase in the prevalence of diabetes mellitus from 0.73% to current 2.4% in rural and 4.0% to 11.6% in urban areas. Familial clustering of diabetes may support a genetic predisposition to diabetes. With increase in the prevalence of diabetes there is increase in number of first degree relative as well, thus an increased risk of developing diabetes, will also increase. To study the plasma glucose levels in First-degree relatives of family member of type 2 diabetic patients was the objective of the present study.Methods: It is a descriptive observational study with 1020 individuals serially coming to our outpatient Department for Pre-employment Medical Health Check Up Annual Health Check Up were selected. These individuals have been enrolled for the study and their family history of diabetes was noted, their sugar levels and their lipid levels were estimated and their body mass index was calculated. The data thus collected and analyzed with excel.Results: 184 (18%) individuals were FDRs, were as 836 (82%) individuals were Non-FDRs. There were 754 (74%) males [131(17%) FDR and 623(83%) Non-FDR], were as 213 (26%) females [53(20%) FDR and 213(80%) Non-FDR], 61(6%) individuals were having Diabetic Mother, 91(9%) individuals had Diabetic Father and 32(3%) were those in whom both the Parents were Diabetic. It was found that maternal history has strong association for getting abnormal BSL levels as compared to a diabetic father as the RR of 9.82 (95% 4.84 to 19.95) in individuals with mother being diabetic, and RR of 1.54(95% 0.68 to 3.87) of father being diabetic.Conclusions: Family history of diabetes, maternal history of diabetes and history of both the parents having diabetes are risk factors for diabetes in FDRs.


2020 ◽  
Vol 7 (3) ◽  
pp. 446
Author(s):  
Venugopal Margekar ◽  
Shweta Thakur ◽  
O. P. Jatav ◽  
Pankaj Yadav

Background: A significant percent of cardiovascular event occurs without well-known modifiable risk. A new tool for early identification for atherosclerosis is required for early intervention. Aims and objectives of the study was to study the risk factors for CAD and its correlation with CIMT.Methods: One hundred and forty subjects were studied for the risk factors of CAD in Department of Medicine of G.R. Medical College, Gwalior from 2012 to 2013. Out of 140 subjects, 100 were patients having CAD and 40 age matched subjects were included as control group. Data was also recorded from their offspring. High resolution B mode ultrasonography was performed to assess CIMT of carotid arteries. The maximum CIMT of any one side of carotid artery was taken for study.Results: CAD was more prevalent among males (78%). Majority of the offspring of cases had age between 28-42 years and majority were male (73%). Most common risk factors for CAD was dyslipidemia (48%), hypertension (24%), diabetes (12%) and smoking (21%), whereas in offspring’s of CAD patients, dyslipidemia was seen in 28%, hypertension in 3%, diabetes and tobacco smoking in 12% and 24% respectively. The CIMT of CAD patients was significantly increased with increasing the number of risk factors and the same pattern was also seen in controls.  The CIMT of asymptomatic offspring’s having positive family history was significantly more than the asymptomatic offspring without positive family history of CAD.Conclusions: CIMT measurements can be used as a surrogate marker of atherosclerosis as it has showed a direct link with number of risk factors of CAD. 


2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Hayfaa Wahabi

Objectives. The objective of this study was to determine the incidence and risk factors of glucose intolerance one year after delivery in women with gestational diabetes (GDM). Methods. All women who had GDM and completed one year since delivery at King Khalid University Hospital were contacted to participate in the study. Based on to the American Diabetes Association criteria and the results of fasting blood glucose (FPG) and HbA1c, participants were classified into three groups: diabetic, impaired glucose tolerance (IGT), and normal. The incidence of diabetes and IGT was calculated. Clinical, biochemical, and sociodemographic predictors of glucose intolerance were compared between the three groups. Odds ratio (OR) for risk factors with P value less than 0.05 was calculated. Results. From a total 316 eligible women, 133 fulfilled the inclusion criteria and agreed to participate in the study. From the study participants, 58 (44%) women were normoglycemic, 60 (45%) women had IGT, and 15 (11%) women were diabetic. The odds of developing IGT or diabetes increased to nearly fourfold when women needed insulin for the control of GDM during pregnancy (OR 3.8, 95% CI 0.81–18.3, P=0.08) and to nearly one-and-a-half-fold when they have positive family history of T2DM (OR 1.2, 95% CI 0.74–2.09, P=0.40). Nevertheless, none of the odds ratios was statistically significant. Conclusion. The incidence of postpartum hyperglycemia (diabetes and IGT) is very high in Saudi women with GDM. Family history of diabetes and insulin treatment of GDM may be predictors of postpartum hyperglycemia.


2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Dongmei Pei ◽  
Chengpu Zhang ◽  
Yu Quan ◽  
Qiyong Guo

Background. Diabetes mellitus is a chronic disease with a steadfast increase in prevalence. Due to the chronic course of the disease combining with devastating complications, this disorder could easily carry a financial burden. The early diagnosis of diabetes remains as one of the major challenges medical providers are facing, and the satisfactory screening tools or methods are still required, especially a population- or community-based tool. Methods. This is a retrospective cross-sectional study involving 15,323 subjects who underwent the annual check-up in the Department of Family Medicine of Shengjing Hospital of China Medical University from January 2017 to June 2017. With a strict data filtration, 10,436 records from the eligible participants were utilized to develop a prediction model using the J48 decision tree algorithm. Nine variables, including age, gender, body mass index (BMI), hypertension, history of cardiovascular disease or stroke, family history of diabetes, physical activity, work-related stress, and salty food preference, were considered. Results. The accuracy, precision, recall, and area under the receiver operating characteristic curve (AUC) value for identifying potential diabetes were 94.2%, 94.0%, 94.2%, and 94.8%, respectively. The structure of the decision tree shows that age is the most significant feature. The decision tree demonstrated that among those participants with age≤49, 5497 participants (97%) of the individuals were identified as nondiabetic, while age>49, 771 participants (50%) of the individuals were identified as nondiabetic. In the subgroup where people were 34<age≤49 and BMI≥25, when with positive family history of diabetes, 89 (92%) out of 97 individuals were identified as diabetic and, when without family history of diabetes, 576 (58%) of the individuals were identified as nondiabetic. Work-related stress was identified as being associated with diabetes. In individuals with 34<age≤49 and BMI≥25 and without family history of diabetes, 22 (51%) of the individuals with high work-related stress were identified as nondiabetic while 349 (88%) of the individuals with low or moderate work-related stress were identified as not having diabetes. Conclusions. We proposed a classifier based on a decision tree which used nine features of patients which are easily obtained and noninvasive as predictor variables to identify potential incidents of diabetes. The classifier indicates that a decision tree analysis can be successfully applied to screen diabetes, which will support clinical practitioners for rapid diabetes identification. The model provides a means to target the prevention of diabetes which could reduce the burden on the health system through effective case management.


2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Ebru Atalar ◽  
Cuneyd Gunay ◽  
Hakan Atalar ◽  
Tugba Tunc

A 49-year-old male presented with acute midthoracic severe back pain following a witnessed nocturnal convulsion attack. There was no history of trauma and the patient had a 23-year history of Type I diabetes mellitus. MRI scans of the thoracic spine revealed compression fractures at T5, T6, T7, and T8 vertebrae. The patient was treated conservatively. At 17 months after the initial diagnosis, the complaints of back pain had been resolved and the patient was able to easily undertake daily living activities. Hypoglycaemia is a common problem in diabetic patients treated with insulin. Convulsions may occur as a consequence of insulin-induced hypoglycemia. Nontraumatic compression fractures of the thoracic spine following seizures are a rare injury. Contractions of strong paraspinal muscles can lead to compression fracture of the midthoracic spine. Unrecognized hypoglycaemia should be considered to be a possible cause of convulsions in insulin-dependent diabetic patients. The aim of this report is to point out a case of rarely seen multilevel consecutive vertebrae fractures in a diabetic patient after a nocturnal hypoglycaemic convulsion attack.


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