Browsing by Subject "type 2 diabetes mellitus"

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  • Matthews, David R.; Paldanius, Päivi M.; Stumvoll, Michael; Han, Jackie; Bader, Giovanni; Chiang, YannTong; Proot, Pieter; Del Prato, Stefano (2019)
    Aims To ensure the integrity of the planned analyses and maximize the clinical utility of the VERIFY study results by describing the detailed concepts behind its statistical analysis plan (SAP) before completion of data collection and study database lock. The SAP will be adhered to for the final primary data analysis of the VERIFY trial. Materials and Methods Vildagliptin efficacy in combination with metformin for early treatment of T2DM (VERIFY) is an ongoing, multicentre, randomized controlled trial aiming to demonstrate the clinical benefits of glycaemic durability and glucose control achieved with an early combination therapy in newly-diagnosed type 2 diabetes (T2DM) patients. Results The SAP was initially designed at the study protocol conception phase and later modified, as reported here, in collaboration between the steering committee members, statisticians, and the VERIFY study leadership team. All authors were blinded to treatment allocation. An independent statistician has additionally retrieved and presented unblinded data to the independent data safety monitoring committee. An overview of the trial design with a focus on describing the fine-tuning of the analysis plan for the primary efficacy endpoint, risk of initial treatment failure, and secondary, exploratory and pre-specified subgroup analyses is provided here. Conclusion According to optimal trial practice, the details of the statistical analysis and data-handling plan prior to locking the database are reported here. The SAP accords with high-quality standards of internal validity to minimize analysis bias and will enhance the utility of the reported results for improved outcomes in the management of T2DM.
  • Lackman, Madeleine Helena (Helsingin yliopisto, 2022)
    Diabetes mellitus is an incurable disease caused by dysfunctional insulin signaling. The brown adipose tissue (BAT) serves as a hotspot for both lipid and glucose consumption and is thus an attractive target for treating metabolic diseases. Newly surfacing evidence suggest that the endothelial cells (ECs) lining the inner layer of vessels might regulate the morphology and function of adipose tissues. Several studies, including our own, suggest that the vessel density is negatively affected by metabolic diseases. As the BAT is an important organ for systemic lipid and glucose metabolism, and as the effects of metabolic diseases on BAT vessels are not adequately explored, I wanted to investigate how the BAT vasculature changes upon early time points of type 1 (T1D) and 2 (T2D) diabetes in this thesis work. To this end, I used mouse models with chemically induced T1D and genetic T2D and characterized these models with immunohistochemical analyses and immunoassays. To explore the transcriptomic landscapes of ECs and adipose stem cells (ASCs), I analyzed scRNAseq data of BAT stromal vascular fractions (SVF), focusing on changes in gene expression and EC-ASC interactions at a transcriptomic level. Also, by using a publicly available single-cell RNA sequencing (scRNAseq) dataset, I compared BAT SVF gene expression to complement the data resulting from our experiments. The results from this work reveal differential angiogenic responses in the T1D and T2D mouse models and open new avenues of research into how these different pathways are activated and how we can take advantage of these differences to treat diseases. All in all, this work will support the efforts in developing better options for future diabetes prevention, diagnosis, and care.
  • Iso-Mustajärvi, Ilona (Helsingfors universitet, 2013)
  • Khatun, Masuma; Urpilainen, Elina; Ahtikoski, Anne; Arffman, Riikka K.; Pasanen, Annukka; Puistola, Ulla; Tapanainen, Juha S.; Andersson, Leif C.; Butzow, Ralf; Loukovaara, Mikko; Piltonen, Terhi T. (2021)
    Stanniocalcin-1 (STC-1) is a glycoprotein hormone involved in diverse biological processes, including regulation of calcium phosphate homeostasis, cell proliferation, apoptosis, inflammation, oxidative stress responses, and cancer development. The role of STC-1 in endometrial cancer (EC) is yet to be elucidated. In this study, we investigated the protein expression pattern of STC-1 in a tissue microarray (TMA) cohort of hysterectomy specimens from 832 patients with EC. We then evaluated the prognostic value of STC-1 expression regarding the clinicopathologic features and patients survival over a period of 140 months. Our results revealed that in EC tissue samples, STC-1 is mainly localized in the endometrial epithelium, although some expression was also observed in the stroma. Decreased STC-1 expression was associated with factors relating to a worse prognosis, such as grade 3 endometrioid tumors (p = 0.030), deep myometrial invasion (p = 0.003), lymphovascular space invasion (p = 0.050), and large tumor size (p = 0.001). Moreover, STC-1 expression was decreased in tumors obtained from obese women (p = 0.014) and in women with diabetes mellitus type 2 (DMT2; p = 0.001). Interestingly, the data also showed an association between DNA mismatch repair (MMR) deficiency and weak STC-1 expression, specifically in the endometrial epithelium (p = 0.048). No association was observed between STC-1 expression and disease-specific survival. As STC-1 expression was particularly low in cases with obesity and DMT2 in the TMA cohort, we also evaluated the correlation between metformin use and STC-1 expression in an additional EC cohort that only included women with DMT2 (n = 111). The analysis showed no difference in STC-1 expression in either the epithelium or the stroma in women undergoing metformin therapy compared to metformin non-users. Overall, our data may suggest a favorable role for STC-1 in EC behavior; however, further studies are required to elucidate the detailed mechanism and possible applications to cancer treatment.
  • Xu, Shishi; Scott, Charles A. B.; Coleman, Ruth L.; Tuomilehto, Jaakko; Holman, Rury R. (2021)
    Aims Robust diabetes risk estimates in Asian patients with impaired glucose tolerance (IGT) and coronary heart disease (CHD) are lacking. We developed a Chinese type 2 diabetes risk calculator using Acarbose Cardiovascular Evaluation (ACE) trial data. Methods There were 3105 placebo-treated ACE participants with requisite data for model development. Clinically relevant variables, and those showing nominal univariate association with new-onset diabetes (P <.10), were entered into BASIC (clinical variables only), EXTENDED (clinical variables plus routinely available laboratory results), and FULL (all candidate variables) logistic regression models. External validation was performed using the Luzhou prospective cohort of 1088 Chinese patients with IGT. Results Over median 5.0 years, 493 (15.9%) ACE participants developed diabetes. Lower age, higher body mass index, and use of corticosteroids or thiazide diuretics were associated with higher diabetes risk. C-statistics for the BASIC (using these variables), EXTENDED (adding male sex, fasting plasma glucose, 2-hour glucose, and HbA1c), and FULL models were 0.610, 0.757, and 0.761 respectively. The EXTENDED model predicted a lower 13.9% 5-year diabetes risk in the Luzhou cohort than observed (35.2%, 95% confidence interval 31.3%-39.5%, C-statistic 0.643). Conclusion A risk prediction model using routinely available clinical variables can be used to estimate diabetes risk in Chinese people with CHD and IGT.
  • Daryabor, Gholamreza; Atashzar, Mohamad Reza; Kabelitz, Dieter; Meri, Seppo; Kalantar, Kurosh (2020)
    Metabolic abnormalities such as dyslipidemia, hyperinsulinemia, or insulin resistance and obesity play key roles in the induction and progression of type 2 diabetes mellitus (T2DM). The field of immunometabolism implies a bidirectional link between the immune system and metabolism, in which inflammation plays an essential role in the promotion of metabolic abnormalities (e.g., obesity and T2DM), and metabolic factors, in turn, regulate immune cell functions. Obesity as the main inducer of a systemic low-level inflammation is a main susceptibility factor for T2DM. Obesity-related immune cell infiltration, inflammation, and increased oxidative stress promote metabolic impairments in the insulin-sensitive tissues and finally, insulin resistance, organ failure, and premature aging occur. Hyperglycemia and the subsequent inflammation are the main causes of micro- and macroangiopathies in the circulatory system. They also promote the gut microbiota dysbiosis, increased intestinal permeability, and fatty liver disease. The impaired immune system together with metabolic imbalance also increases the susceptibility of patients to several pathogenic agents such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Thus, the need for a proper immunization protocol among such patients is granted. The focus of the current review is to explore metabolic and immunological abnormalities affecting several organs of T2DM patients and explain the mechanisms, whereby diabetic patients become more susceptible to infectious diseases.