Current Diabetes Reviews - Volume 21, Issue 3, 2025

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.

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.

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.

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).

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.

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.

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.

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.

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, potential contraindications for exercise in diabetes patients, along with barriers to implementing resistance training, warrant careful consideration.

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

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

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 10 g SW Monofilament Test (MFT).

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.

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.

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.

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.

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

Diabetes Mellitus is a chronic health condition (long-lasting) due to inadequate control of blood levels of glucose. This study presents a prediction of Type 2 Diabetes Mellitus among women using various Machine Learning Algorithms deployed to predict the diabetic condition. A University of California Irvine Diabetes Mellitus Dataset posted in Kaggle was used for analysis.

The dataset included eight risk factors for Type 2 Diabetes Mellitus prediction, including Age, Systolic Blood Pressure, Glucose, Body Mass Index, Insulin, Skin Thickness, Diabetic Pedigree Function, and Pregnancy. R language was used for the data visualization, while the algorithms considered for the study are Logistic Regression, Support Vector Machines, Decision Trees and Extreme Gradient Boost. The performance analysis of these algorithms on various classification metrics is also presented here, considering the Area Under the Curve and Receiver Operating Characteristics score is the best for Extreme Gradient Boost with 85%, followed by Support Vector Machines and Decision Trees.

The Logistic Regression is showing low performance. But the Decision Trees and Extreme Gradient Boost show promising performance against all the classification metrics. But the Support Vector Machines offers a lower support value; hence it cannot be claimed to be a good classifier. The model showed that the most significant predictors of Type 2 Diabetes Mellitus were strongly correlated with Glucose Levels and mediumly correlated with Body Mass Index, whereas Age, Skin Thickness, Systolic Blood Pressure, Insulin, Pregnancy, and Pedigree Function were less significant. This type of real-time analysis has proved that the symptoms of Type 2 Diabetes Mellitus in women fall entirely different compared to men, which highlights the importance of Glucose Levels and Body Mass Index in women.

The prediction of Type 2 Diabetes Mellitus helps public health professionals to help people by suggesting proper food intake and adjusting lifestyle activities with good fitness management in women to make glucose levels and body mass index controlled. Therefore, the healthcare systems should give special attention to diabetic conditions in women to reduce exacerbations of the disease and other associated symptoms. This work attempts to predict the occurrence of Type 2 Diabetes Mellitus among women on their behavioral and biological conditions.

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.

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

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 meta-analysis.

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. Patients in the age of 40 or older demonstrated a higher prevalence compared to the younger group. Studies post-2018 reported a decreasing trend in metabolic syndrome prevalence.

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.

Diabetes mellitus remains a global health challenge, demanding innovative therapeutic strategies. Herbal remedies have garnered attention for their potential in diabetes management, and recent advancements in nanotechnology have enabled the development of herbal nanoformulations with enhanced efficacy and bioavailability.

This review aimed to comprehensively analyze the mechanisms, formulations, and clinical impact of herbal nanoformulations in managing diabetes mellitus.

A systematic literature search was conducted to identify relevant studies exploring the mechanisms of action, various formulations, and clinical outcomes of herbal nanoformulations in diabetes management.

Herbal nanoformulations exert their anti-diabetic effects through multiple mechanisms, including enhanced bioavailability, improved tissue targeting, and potentiation of insulin signaling pathways. Various herbal ingredients, such as bitter melon, fenugreek, and Gymnema sylvestre, have been encapsulated into nanocarriers, like liposomes, polymeric nanoparticles, and solid lipid nanoparticles, to enhance their therapeutic potential. Clinical studies have demonstrated promising results, showing improvements in glycemic control, lipid profile, and antioxidant status with minimal adverse effects.

Herbal nanoformulations represent a promising avenue for the management of diabetes mellitus, offering improved therapeutic outcomes compared to conventional herbal preparations. Further research is warranted to optimize formulation strategies, elucidate long-term safety profiles, and explore the potential synergistic effects of herbal nanoformulations in combination therapies for diabetes management.

Managing type 1 diabetes in school is a real challenge for teachers, parents, and students themselves. Involving school educators in providing care and support is becoming more of a necessity than a luxury to facilitate access to healthcare services in schools for children with type 1 diabetes.

Our work aimed to assess the background knowledge of teachers on type 1 diabetes and evaluate the impact of an educational intervention in improving this knowledge.

We included 346 participants working in elementary schools in Oujda City, Morocco. We collected data on anonymous data sheets. Then, a first pre-coded questionnaire was distributed to the participants to assess their background knowledge of type 1 diabetes. Afterward, a simplified educational session was delivered to them. Subsequently, the same pre-coded questionnaire was distributed for evaluation after education.

Around 84% of the participants recognized polyuria and polydipsia as major signs of diabetes. Only 35.3% of them knew the definition of hypoglycemia. Hyperglycemia was identified by 65% of the participants. About 40% believed children cannot exercise, while 55.5% thought taking free sugar before exercise was mandatory. We found a significant correlation between a good level of knowledge and knowing a person with diabetes (aOR=2.66, CI95%: 1.51-4.70, p=0.001). There was a significant improvement in knowledge after the educational intervention (p=0.0001).

Our study showed a lack of information about type 1 diabetes among teachers. We also proved the effectiveness of targeted education in correcting misconceptions and encouraging awareness of type 1 diabetes.