Current diabetes reviews最新文献

Background: Metabolic syndrome comprises various conditions like abdominal obesity, insulin resistance, elevated triglyceride levels, reduced HDL, and high blood pressure, which pose significant health challenges globally. It's imperative to determine its prevalence in specific populations to formulate effective preventive measures.

Objective: This systematic review and meta-analysis aimed to determine the prevalence of metabolic syndrome in the Qatari population.

Methods: Using the PRISMA guidelines, a systematic search was executed on PubMed until July 2023 with keywords "Metabolic syndrome" and "Qatar." Eligibility criteria included human subjects, studies assessing metabolic syndrome components, and research conducted in Qatar or on Qatari subjects. The quality of the studies was evaluated using the Newcastle-Ottawa Scale (NOS). Pooled prevalence rates were calculated using the inverse variance weighting metaanalysis.

Results: Out of 237 studies, 14 met our inclusion criteria, with a combined sample size of 14,772 from the Qatari population. The overall pooled prevalence of metabolic syndrome was 26%. The ATP III and IDF criteria exhibited significant differences in prevalence rates, with the IDF criteria showing a higher prevalence. Age ≥ 40 years demonstrated a higher prevalence compared to the younger group. Studies post-2018 reported a decreasing trend in metabolic syndrome prevalence.

Conclusion: The prevalence of metabolic syndrome in the Qatari population is comparable to rates in the Middle East. The study underscores the need for tailored interventions and strategies, especially targeting the older age group. Continuous research and monitoring are essential to track and understand the disease's progression in Qatar.

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Background: Diabetes mellitus (DM) is an autoimmune manifestation defined by persistent hyperglycemia and alterations in protein, fatty substances, and carbohydrate metabolism as an effect of problems with the secretion of insulin action or both. Manifestations include thirst, blurred eyesight, weight loss, and ketoacidosis, which can majorly lead to coma. There are different types of diabetes according to class or by cellular level. They are interrelated with hyperlipidemia as they are involved in the metabolism and regulation of physiological factors. Most parameters are seen at cellular or humoral levels, yet the underlying concern remains the same.

Objective: To create a systematic correlation between the disease and locate the exact mechanism and receptors responsible for it. So, this article covers a proper way to resolve the conditions and their manifestation through literacy and diagrammatic.

Conclusion: Hence, this will be an insight for many scholars to understand the exact mechanism involved in the process.

Background: Photobiomodulation (PBM) or Low-level laser is used to treat diabetic foot complications. The existing method of laser application to the foot did not cover the foot's entire area to improve the foot's microcirculation. Therefore, we have developed a cost-effective Special LASER Shoe device, focusing exclusively on the entire foot region to manage neuropathic pain and other symptoms in individuals with type 2 diabetes mellitus.

Objective: The main objective of the present study was to evaluate the effect of this newly developed special laser shoe PBM on neuropathic pain and plantar pressure profile in individuals with type 2 diabetes mellitus with neuropathy.

Methods: We included 60 participants with diabetic peripheral neuropathy of both genders and age more than 20 years. Participants were treated with PBM by a specially designed novel Laser Shoe. Outcomes were clinical variables like Vibration Perception Threshold (VPT), Visual Analogue Scale (VAS), Michigan neuropathy screening instrument A&B, Ankle-Brachial Index (ABI), and Static dynamic gait parameters.

Results: Participants were with an average age of 62, and the average duration of diabetes was 11 years. Analysis showed a significant difference in VPT, VAS, Michigan neuropathic screening inventory, and ankle-brachial index. (P < 0.05).

Conclusion: We conclude that Novel laser shoe photobiomodulation using 'Laser Shoe' effectively reduces peripheral neuropathic pain. It is also effective in reducing average and maximum plantar pressure. Reduction in neuropathic pain and improvement in plantar pressure distribution can reduce further complications.

Aim: The present study aimed to determine the prevalence and predictors of DPN in newly diagnosed T2DM patients.

Background: Diabetic Peripheral Neuropathy (DPN) is the most common and debilitating complication of Type 2 Diabetes Mellitus (T2DM).

Methods: Newly diagnosed T2DM patients visiting the outpatient department were recruited. Detailed demographic parameters, histories, physical examinations, and biochemical investigations were carried out. Patients were screened for DPN using the Diabetic Neuropathy Symptom (DNS) score, the revised Disability Neuropathy Score (NDS), Vibration Perception Threshold (VPT) using a biosthesiometer, and the 10g SW Monofilament Test (MFT).

Results: A total of 350 newly diagnosed T2DM patients (mean age 46.4±13.6 years) were included. The prevalence of DPN was found to be 34% using the combined DNS and NDS scores. VPT was moderately impaired in 18.3% and severely impaired in 12% patients, while MFT revealed a loss of protective sensation in 35.4% patients. After logistic regression analysis, DPN was significantly associated with increasing age (OR 1.08, 95%CI 1.06-1.11), increasing HbA1C levels (OR 1.23, 95%CI 1.05-1.42), increasing TSH levels (OR 1.23, 95%CI 1.05-1.44), presence of hypertension (OR 2.78, 95%CI 1.51-5.11), and reduced BMI (OR 0.9, 95%CI 0.84- 0.99). The sensitivity and specificity of detecting DPN by combining VPT and MFT were 91.6% and 84.2%, respectively.

Conclusion: The prevalence of DPN was high even in newly diagnosed T2DM and associated significantly with increasing age, HbA1C levels, TSH levels, hypertension, and reduced BMI. Earlier screening for DPN, along with aggressive control of glycemia, blood pressure, and hypothyroidism, may be beneficial.

Background: Millions of people worldwide are affected by the serious consequences of diabetes mellitus, which is a major global health concern. We analyze the possibility of muscle- strengthening activities as an appropriate therapeutic strategy for controlling the progression of diabetes mellitus in this comprehensive review. In this review, we explore the molecular processes underlying the glucose uptake in skeletal muscle, revealing how exercise can improve insulin sensitivity and glucose homeostasis.

Methodology: Articles published between 2010 and 2023 were analyzed in detail by using bibliographic databases like PubMed, Medline, and Scopus. The most commonly searched terms were "muscle strengthening exercises," "diabetes mellitus," "insulin resistance," "glucose uptake," "skeletal muscle," and even "exercise therapy." The inclusion criteria were randomized controlled trials, observational studies, and systematic reviews. This allowed for the selection of sources that were related to the topic at hand and were reliable.

Results: This review highlights the benefits of exercise for diabetes mellitus, elucidating the positive effects of acute and regular exercise on glucose uptake in skeletal muscle. It also analyzes the impact of various exercise modalities, including aerobic and resistance exercises, on glucose metabolism in individuals with and without type 2 diabetes. Furthermore, this review examines the effectiveness of combining aerobic and resistance training for optimal diabetes management.

Conclusion: Our analysis reveals promising evidence supporting the role of resistance training in diabetes mellitus reversal. Regular resistance exercise has been shown to improve glycemic control, insulin sensitivity, and muscle function in individuals with type 2 diabetes. Combining aerobic and resistance exercises appears to be more effective than single-mode training in managing blood glucose levels and enhancing overall metabolic health. However, Resistance training implementation challenges, as well as potential exercise contraindications in diabetic patients, warrant further studies.

Background: The global incidence of type 2 diabetes (T2D) persists at epidemic proportions. Early diagnosis and/or preventive efforts are critical to attenuate the multi-systemic clinical manifestation and consequent healthcare burden. Despite enormous strides in the understanding of pathophysiology and on-going therapeutic development, effectiveness and access are persistent limitations. Among the greatest challenges, the extensive research efforts have not promulgated reliable predictive biomarkers for early detection and risk assessment. The emerging fields of multi-omics combined with machine learning (ML) and augmented intelligence (AI) have profoundly impacted the capacity for predictive, preventive, and personalized medicine.

Objective: This paper explores the current challenges associated with the identification of predictive biomarkers for T2D and discusses potential actionable solutions for biomarker identification and validation.

Methods: The articles included were collected from PubMed queries. The selected topics of inquiry represented a wide range of themes in diabetes biomarker prediction and prognosis.

Results: The current criteria and cutoffs for T2D diagnosis are not optimal nor consider a myriad of contributing factors in terms of early detection. There is an opportunity to leverage AI and ML to significantly enhance the understanding of the underlying mechanisms of the disease and identify prognostic biomarkers. The innovative technologies being developed by GATC are expected to play a crucial role in this pursuit via algorithm training and validation, enabling comprehensive and in-depth analysis of complex biological systems.

Conclusion: GATC is an emerging leader guiding the establishment of a systems approach towards research and predictive, personalized medicine. The integration of these technologies with clinical data can contribute to a more comprehensive understanding of T2D, paving the way for precision medicine approaches and improved patient outcomes.

Background: Dating violence is a prevalent issue among Mexican women, as is the incidence and prevalence of Type 2 diabetes mellitus (T2DM). The effects of dating violence can negatively impact lifestyle and, consequently, increase the risk of T2DM.

Objective: This study aimed to explore the influence of dating violence on lifestyle and the risk of T2DM in women university students from Mexico.

Methods: The study employed a cross-sectional and correlational design. The study population consisted of women university students. The sample size included 255 participants. Women aged 18 to 39 with current dating relationships and residency in Mexicali, Baja California, Mexico, were included. Data collection was conducted from February to May 2023. Correlations and multiple linear regression models were conducted.

Results: A total of 255 women participated, with an average age of 21.6 years (SD = 3.2), and 32.2% had a history of intrafamily violence during childhood. 58.8% of the participants exhibited some level of risk of T2DM, and 56.7% of the lifestyle was mostly categorized as poor/fair. Detachment was the most prevalent type of dating violence, followed by coercion. Dating violence was correlated with lifestyle (r = -.430) and the risk of T2DM (r = .321). In the multiple linear regression model, dating violence influenced the risk of T2DM.

Conclusions: Women who reported higher levels of dating violence have a less healthy lifestyle and a greater risk of T2DM. It is important to consider dating violence to improve lifestyle and prevent T2DM in Mexican women university students.

Several epidemiological studies have appreciated the impact of "duration" and "level" of hyperglycemia on the initiation and development of chronic complications of diabetes. However, glycemic profiles could not fully explain the presence/absence and severity of diabetic complications. Genetic issues and concepts of "hyperglycemic memory" have been introduced as additional influential factors involved in the pathobiology of late complications of diabetes. In the extended phase of significant diabetes randomized, controlled clinical trials, including DCCT/EDIC and UKPDS, studies have concluded that the quality of glycemic or metabolic control at the early time around the diabetes onset could maintain its protective or detrimental impact throughout the following diabetes course. There is no reliable indication of the mechanism by which the transient exposure to a given glucose concentration level could evoke a consistent cellular response at target tissues at the molecular levels. Some biological phenomena, such as the production and the concentration of advanced glycation end products (AGEs), reactive oxygen species (ROS) and protein kinase C (PKC) pathway activations, epigenetic changes, and finally, the miRNAs-mediated pathways, may be accountable for the development of hyperglycemic memory. This work summarizes evidence from previous experiments that may substantiate the hyperglycemic memory soundness by its justification in molecular terms.

Diabetic retinopathy (DR) is a microvascular disease affecting the eyes of diabetic patients, and is the most prevalent complication of diabetes mellitus. Vision improvement is not possible in the majority of DR patients. Several studies have indicated that microvascular changes, inflammation, oxidative stress, and retinal neurodegeneration are involved in the pathogenesis of DR. Therefore, there is an urgent need for the development of new and effective treatment for DR. Understanding the molecular mechanisms involved in the pathogenesis of disease will pave a way for better treatment and management of DR. This article has emphasized the molecular pathogenesis and treatment of DR.