scholarly journals Diabetes mellitus correlates with increased biological age as indicated by clinical biomarkers

GeroScience ◽  
2021 ◽  
Author(s):  
Nadine Bahour ◽  
Briana Cortez ◽  
Hui Pan ◽  
Hetal Shah ◽  
Alessandro Doria ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Cellular Level ◽  
Biological Age ◽  
Chronological Age ◽  
Mortality Data ◽  
Diabetes Mortality ◽  
Clinical Biomarkers ◽  
Gender And Age

AbstractChronological age (CA) is determined by time of birth, whereas biological age (BA) is based on changes on a cellular level and strongly correlates with morbidity, mortality, and longevity. Type 2 diabetes (T2D) associates with increased morbidity and mortality; thus, we hypothesized that BA would be increased and calculated it from biomarkers collected at routine clinical visits. Deidentified data was obtained from three cohorts of patients (20–80 years old)—T2D, type 1 diabetes (T1D), and prediabetes—and compared to gender- and age-matched non-diabetics. Eight clinical biomarkers that correlated with CA in people without diabetes were used to calculate BA using the Klemera and Doubal method 1 (KDM1) and multiple linear regression (MLR). The phenotypic age (PhAge) formula was used with its predetermined biomarkers. BA of people with T2D was, on average, 12.02 years higher than people without diabetes (p < 0.0001), while BA in T1D was 16.32 years higher (p < 0.0001). Results were corroborated using MLR and PhAge. The biomarkers with the strongest correlation to increased BA in T2D using KDM were A1c (R2 = 0.23, p < 0.0001) and systolic blood pressure (R2 = 0.21, p < 0.0001). BMI had a positive correlation to BA in non-diabetes subjects but disappeared in those with diabetes. Mortality data using the ACCORD trial was used to validate our results and showed a significant correlation between higher BA and decreased survival. In conclusion, BA is increased in people with diabetes, irrespective of pathophysiology, and to a lesser extent in prediabetes.

Lack of Evidence Linking Infant Feeding Regimen and Type 1 or Type 2 Diabetes Mellitus

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 237A-237A
Author(s):  
Robin S. Feldman ◽  
Michael Falk ◽  
Kathy A. Grako ◽  
Dawn A. Groenke ◽  
Allison Cooke ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Infant Feeding ◽  
Feeding Regimen

Model estimates of the results of diabetes patients using modern glucometers with tri-color technology for displaying test results

2019 ◽  
pp. 81-89
Author(s):  
Larisa Dmitrievna Popovich ◽  
Svetlana Valentinovna Svetlichnaya ◽  
Aleksandr Alekseevich Moiseev
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Economic Benefits ◽  
Test Results ◽  
Self Monitoring ◽  
Patients With Diabetes ◽  
The Impact

Diabetes – a disease in which the effect of the treatment substantially depends on the patient. Known a study showed that the use of glucometers with the technology of three-color display of test results facilitates self-monitoring of blood sugar and leads to a decrease in glycated hemoglobin (HbAlc). Purpose of the study: to modeling the impact of using of a glucometer with a color-coded display on the clinical outcomes of diabetes mellitus and calculating, the potential economic benefits of reducing the hospitalization rate of patients with diabetes. Material and methods. Based on data from two studies (O. Schnell et al. and M. Baxter et al.) simulation of the reduction in the number of complications with the use of a glucometer with a color indication. In a study by O. Schnell et al. a decrease of HbA1c by 0.69 percent is shown when using the considered type of glucometers, which was the basis of the model. Results. In the model, the use of a glucometer with a color-coded display for type 1 diabetes led to a decrease in the total number of complications by 9.2 thousand over 5 years per a cohort of 40 thousand patients with different initial levels of HbA1c. In a cohort of 40 thousand patients with type 2 diabetes, the simulated number of prevented complications was 1.7 thousand over 5 years. When extrapolating these data to all patients with diabetes included in the federal register of diabetes mellitus (FRD), the number of prevented complications was 55.4 thousand cases for type 1 diabetes and 67.1 thousand cases for type 2 diabetes. The possible economic effect from the use of the device by all patients with a diagnosis of diabetes, which are included in the FRD, estimated at 1.5 billion rubles for a cohort of patients with type 1 diabetes and 5.3 billion rubles for patients with type 2 diabetes. Conclusion. Improving the effectiveness of self-monitoring, which is the result of the use of glucometers with color indicators, can potentially significantly reduce the incidence of complications in diabetes and thereby provide significant economic benefits to society.

Type 1 Diabetes Mellitus - Risk Factor for Cardiovascular Disease Morbidity and Mortality

2020 ◽  
Vol 17 (1) ◽  
pp. 37-54
Author(s):  
Tatyana Chalakova ◽  
Yoto Yotov ◽  
Kaloyan Tzotchev ◽  
Sonya Galcheva ◽  
Boyan Balev ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Diabetic Control ◽  
Macrovascular Complications ◽  
Morbidity And Mortality ◽  
Diabetes Mellitus Risk

: Type 1 diabetes mellitus (T1DM) is a chronic disease that starts early in life and often leads to micro- and macrovascular complications. The incidence of the disease is lower than that of type 2 DM and varies in different countries and ethnic groups, and the etiological and pathogenetic factors are different from T2DM. The aim of this overview is to investigate the effect of T1DM on all-cause mortality and CVD morbidity and mortality. During the last decades, the treatment of T1DM has improved the prognosis of the patients. Still, the mortality rates are higher than those of the age- and sex-matched general population. With the prolonged survival, the macrovascular complications and cardiovascular diseases (CVD) appear as major health problems in the management of patients with T1DM. The studies on the CVD morbidity and mortality in this disease group are sparse, but they reveal that T1DM is associated with at least 30% higher mortality. In comparison to healthy people, CVDs are more common in T1DM patients and they occur earlier in life. : Furthermore, they are a major cause for death and impaired quality of life in T1DM patients. The correlation between diabetic control and the duration of T1DM is not always present or is insignificant. Nevertheless, the early detection of the preclinical stages of the diseases and the risk factors for their development is important; similarly, the efforts to improve glycemic and metabolic control are of paramount importance.

scholarly journals 958: Congenital malformation rates in a contemporary cohort with type 1 and type 2 diabetes mellitus

2020 ◽  
Vol 222 (1) ◽  
pp. S595
Author(s):  
Robert Martin ◽  
Elaine Duryea ◽  
Anne Ambia ◽  
Angela R. Seasely ◽  
Donald D. McIntire ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Congenital Malformation

Hunger sensation in patients with compensated and uncompensated type 1 and type 2 Diabetes Mellitus

1996 ◽  
Vol 20 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Pietro Cugini ◽  
Giuseppe Fatati ◽  
Anna Paggi ◽  
Stefano Coaccioli ◽  
Francesca Paci ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Hunger Sensation

scholarly journals The Landscape of microRNAs in βCell: Between Phenotype Maintenance and Protection

2021 ◽  
Vol 22 (2) ◽  
pp. 803
Author(s):  
Giuseppina Emanuela Grieco ◽  
Noemi Brusco ◽  
Giada Licata ◽  
Daniela Fignani ◽  
Caterina Formichi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Metabolic Disorders ◽  
Molecular Mechanisms ◽  
Β Cell ◽  
Physiological Mechanisms ◽  
Effective Strategies ◽  
Chronic Hyperglycaemia ◽  
Shed Light

Diabetes mellitus is a group of heterogeneous metabolic disorders characterized by chronic hyperglycaemia mainly due to pancreatic β cell death and/or dysfunction, caused by several types of stress such as glucotoxicity, lipotoxicity and inflammation. Different patho-physiological mechanisms driving β cell response to these stresses are tightly regulated by microRNAs (miRNAs), a class of negative regulators of gene expression, involved in pathogenic mechanisms occurring in diabetes and in its complications. In this review, we aim to shed light on the most important miRNAs regulating the maintenance and the robustness of β cell identity, as well as on those miRNAs involved in the pathogenesis of the two main forms of diabetes mellitus, i.e., type 1 and type 2 diabetes. Additionally, we acknowledge that the understanding of miRNAs-regulated molecular mechanisms is fundamental in order to develop specific and effective strategies based on miRNAs as therapeutic targets, employing innovative molecules.

Insulin Dose Adjustment Following Bariatric Surgery, a Review of Available Literature

2021 ◽  
pp. 193229682110288
Author(s):  
Lynn E. Kassel ◽  
Jessica J. Berei ◽  
Jamie M. Pitlick ◽  
Joel E. Rand
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Bariatric Surgery ◽  
Type 2 Diabetes Mellitus ◽  
Dose Adjustment ◽  
Insulin Dose ◽  
Appraisal Tool

Bariatric surgery is a known and effective treatment for type 2 diabetes mellitus. Patients with type 1 diabetes mellitus and exogenous insulin-requiring type 2 diabetes mellitus require adjusted insulin dosing after surgery to avoid hypoglycemia. This review describes insulin dose adjustments following a variety of bariatric procedures. After searching the available literature and assessing for eligibility, 8 articles were included. The Johns Hopkins Research Evidence Appraisal Tool for literature appraisal was used. The results of this review reveal insulin dose adjustment varies based upon surgical procedure type and time of follow-up from the procedure.

The challenges of diagnosing diabetes in childhood

Diagnosis ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mairi Pucci ◽  
Marco Benati ◽  
Claudia Lo Cascio ◽  
Martina Montagnana ◽  
Giuseppe Lippi
Keyword(s):  
Diabetes Mellitus ◽  
Children And Young People ◽  
Narrative Literature ◽  
Diagnosis And Classification ◽  
Narrative Literature Review ◽  
Optimal Approach ◽  
Diagnostic Step

AbstractDiabetes is one of the most prevalent diseases worldwide, whereby type 1 diabetes mellitus (T1DM) alone involves nearly 15 million patients. Although T1DM and type 2 diabetes mellitus (T2DM) are the most common types, there are other forms of diabetes which may remain often under-diagnosed, or that can be misdiagnosed as being T1DM or T2DM. After an initial diagnostic step, the differential diagnosis among T1DM, T2DM, Maturity-Onset Diabetes of the Young (MODY) and others forms has important implication for both therapeutic and behavioral decisions. Although the criteria used for diagnosing diabetes mellitus are well defined by the guidelines of the American Diabetes Association (ADA), no clear indications are provided on the optimal approach to be followed for classifying diabetes, especially in children. In this circumstance, both routine and genetic blood test may play a pivotal role. Therefore, the purpose of this article is to provide, through a narrative literature review, some elements that may aid accurate diagnosis and classification of diabetes in children and young people.

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