Journal of Diabetes Research最新文献

Background: Limited data are available about the epidemiological characteristics and the risk factors for amputation, particularly in developing countries from Asia, especially in China. Objective: We aim to investigate the age features of patients with Type 2 diabetic foot ulcers (DFUs) and analyze the critical influencing factors predicting lower extremity amputation and major amputation. Methods: Data were retrieved from the electric medical record system to identify patients aged > 18 years with Type 2 DFU from January 1, 2017, to December 31, 2023. A logistic regression model was adopted to analyze the risk factors for amputation and major amputation. Results: Nine hundred eighteen patients with Type 2 DFU were eligible for our study, 68.2% of whom were male. In patients with Type 2 diabetes in the hospitals we studied, the prevalence of Type 2 DFU was 1.07%. A majority of patients with DFU were in the 70-79 age group in the winter season, and deaths also peaked in this age group. A total of 38.8% of patients aged 50-59 years underwent amputation. Vascular CTA, complications, history of amputation, and infection sites were the important contributing factors in patients with DFU lower extremity amputation. History of amputation and hemoglobin were the main influencing factors of patients with major amputation resulting from DFU. Conclusion: Most patients with DFU were in the age group of 50-59 years, but the majority of deaths occurred in the 70-79-year age group. Several factors influence the amputation, and those findings provide new insights into the relationship between the severity of narrowed blood vessels and the likelihood of amputation.

Background and Aims: Coronary heart disease (CHD), hypertension (HTN), depression (Dep), and Type 2 diabetes mellitus (T2DM) are often comorbid, resulting in an exacerbated patient condition and worsened prognosis. A lack of systematic metabolomic studies on comorbidities of CHD remains. Therefore, comprehensive metabolomic-based evaluation of comorbidities of CHD is necessary. Methods and Results: In the current study, 169 healthy subjects, 149 CHD subjects, 107 CHD + HTN subjects, 126 CHD + Dep subjects, and 58 CHD + T2DM subjects were recruited. Gas chromatography-mass spectrometry was used for metabolite determination, and multivariate statistical analysis was conducted to identify metabolites that are differentially expressed with the comorbidities of CHD. There were 9, 16, 14, and 10 metabolites identified in the healthy and CHD group, the CHD and CHD + HTN group, the CHD and CHD + Dep group, and the CHD and CHD + T2DM group, respectively. Six metabolic pathways were affected, involving starch and sucrose metabolism; fructose and mannose metabolism; citrate cycle; alanine, aspartate, and glutamate metabolism; fatty acid biosynthesis; and glycolysis. Conclusion: Our study has systematically elucidated the metabolic changes underlying the comorbidities of CHD, thereby providing insight into the mechanisms associated with these alterations.

Background: Young-onset diabetes (YOD) is characterised by unique diagnostic and management challenges more pronounced in resource-limited settings like Sri Lanka. Aims: We aimed to ascertain the prevalence, patterns and characteristics of YOD in Sri Lanka and describe the state of care. Methods: Retrospective review of baseline data of all patients enrolled in the prospective multicentre Database for Young-Onset Diabetes, Sri Lanka (DYOD-SL), was performed, from April 2021 to April 2023. Results: A total of 2531 patient data were included from 28 centres island-wide. Females were 57.6%. The median age was 20 years (interquartile range (IQR) 17, 23), and the age at diagnosis was 15 years (IQR 12, 18). Type 1 diabetes (T1D) was the commonest (57.6%), followed by Type 2 diabetes (T2D) at 34.3%. Younger age at disease onset (p < 0.001), lower BMI (p < 0.001), and diabetic ketoacidosis (DKA) at presentation (p < 0.001) favoured T1D. In the total cohort, the median HbA1c was 9.8% (IQR 7.8, 12.1) with younger patients having poorer control (p = 0.001). Prevalence of nephropathy was 8.1%, retinopathy was 6.6%, neuropathy was 4.1%, moderate-high-risk diabetic foot disease was 1.9%, and macrovascular complications were 0.5%. Hypertension and dyslipidaemia occurred in 2.7% and 14%, respectively. Among patients > 18 years, overweight and obese were 22.2% and 10.4%. Corresponding prevalence in the 5-18-year age group was 20% and 14.7%. Among the insulin users (76%) in the total cohort, the majority (64.7%) were on premixed-based insulin regimens delivered by syringes. Self-monitoring of blood glucose (BG) was reported in 71.3% of the total population. None were on continuous/flash glucose monitoring or insulin pumps. Conclusion: T1D was the commonest subtype of YOD in this hospital-based population. However, T2D was notably higher and is of significant concern. Overall, suboptimal glycaemic control and high rate of complications were noted along with substandard insulin regimens and BG monitoring.

In utero exposure to gestational diabetes mellitus (GDM) is associated with adverse long-term outcomes. Little is known about how mothers perceive these outcomes and the support they need for optimal outcomes for their children. We aimed to explore how women perceive the risk of adverse outcomes for their children exposed to GDM and the support they require for their optimal health. We conducted semistructured interviews with women who experienced GDM in at least one previous pregnancy. Data collection continued until saturation, and analysis followed an iterative thematic approach. Twenty-five mothers participated, and their perceptions about later outcomes for children exposed to GDM varied. Five themes were identified: relating GDM to the offspring's later health; reactions to the potential for poor later outcomes; impact on child growth, development, and behavior; maintaining optimal health from childhood to adulthood; and recommendations for long-term care. Most mothers received no information about potential later child outcomes; some based their views on assumptions. Some mothers who believed their children were at increased risk of poor outcomes expressed fear and worry, while others proactively ensured their children engaged in healthy lifestyle choices. Mothers emphasized the need for support within health facilities (information provision, linking antenatal with child records, and risk assessment) and in the community (social groups, home visits) to ensure optimal health of their children. These findings have potential implications for policy and practice changes to optimize later health outcomes for children exposed to GDM.

Background: The prevalence of diabetes mellitus among children, youth, and young adults is increasing, yet limited information is known about the characteristics and management of these groups with Type 1 (T1D) and Type 2 (T2D) diabetes in primary care. The aim of the study is to explore the characteristics of people with T1D and T2D aged < 25 years across the Auckland and Waikato regions of New Zealand. Methods: Sociodemographic and clinical data were collected from electronic primary care records (February 2021-July 2022) of four primary healthcare organisations, with medication data sourced from the National Pharmaceutical dataset. Associations between sociodemographic and clinical data were conducted using chi-square and nonparametric ANOVA. Results: Of 1198 patients, 72% had T1D and 28% had T2D. People with T1D were evenly distributed by gender but more commonly of European descent (66.7%) compared to other ethnic groups. A higher proportion of T2D was observed in females (58.2%) compared to males (41.6%) and among Māori (38.2% vs. 20.3% European; p < 0.001). Over 95% of individuals with T2D were overweight/obese. Overall, 9.5% and 23.9% of individuals with T1D and T2D, respectively, were at target for HbA1c, though median HbA1c was higher for Māori and Pasifika compared to other ethnicities (p < 0.001). In T1D, 94.7% of individuals were dispensed insulin and 7.5% and 4.4% were dispensed angiotensin-converting enzyme (ACE) inhibitors and statins, respectively. In T2D, medication use included metformin (84.9%), insulin (76.1%), and SGLT2i/GLP1RA (59.5%). Conclusions: The increasing burden of diabetes among young individuals in New Zealand underscores the urgent need for comprehensive strategies to address obesity and socioeconomic disparities, especially among marginalised communities. Addressing socioeconomic factors such as affordable housing, living wages, and healthcare access may be important for improving diabetes outcomes, as these factors significantly influence overall childhood health and well-being.

Mushrooms and fenugreek are widely used to reduce hyperglycemia, and fenugreek is also used as a culinary ingredient to enhance flavor and aroma. This study is aimed at investigating the underlying mechanisms of the hypoglycemic effects of mushrooms and fenugreek in a Type 2 diabetic rat model. Adenosine monophosphate (AMP)-activated protein kinase (AMPK) functions to reduce hyperglycemia through insulin-independent pathways and protects beta-cells. Diabetic model rats were administered standard diets supplemented with 5% oyster mushroom powder (mushroom-treated (MT) group) and 5% fenugreek seed powder (fenugreek-treated (FT) group) for 8 weeks. The results showed improvements in both glycemic and lipid profiles, with both oyster mushroom and fenugreek enhancing the phosphorylation of AMPK in muscle tissue. However, no effect on insulin secretion was observed. These findings suggest that both substances reduce hyperglycemia through an insulin-independent pathway. In silico analysis of both mushroom and fenugreek seed extracts revealed bioactive compounds having a strong binding affinity to α-glucosidase, which suggests mushroom and fenugreek supplements might control postprandial blood glucose levels.

Peripheral neuropathy is a common cause of morbidity in diabetes. Despite recent advancements in early diagnosis methods, there is a need for practical, highly sensitive, and cost-effective screening methods in clinical practice. This study summarizes evidence from systematic reviews and meta-analyses on the diagnostic accuracy of validated screening methods for diabetic peripheral neuropathy. Two independent reviewers assessed methodological quality and bias using AMSTAR and ROBIS tools. Seven reviews with 19,531 participants were included. The monofilament test showed inconsistent sensitivity (S: 0.53-0.93) and specificity (Sp: 0.64-1.00), along with high variability in its application. Neuropad exhibited high S (86%, 95% CI 79-91). However, variations in the interpretation of results across the included studies may have impacted its Sp (65%, 95% CI 51-76). The Ipswich touch test exhibited adequate diagnostic accuracy (S: 0.77, Sp: 0.96, DOR: 75.24) but lacked comparison with gold standard tests. In vibration perception studies, the biothesiometer outperformed the tuning fork (S: 0.61-0.80 vs. 0.10-0.46). In general, heterogeneity was observed due to varied reference tests, thresholds, and patient differences. The development of automated analysis methods, as well as determination of predictive value of the combination of screening tools, is needed for further studies. Based on the study results, we suggest that clinicians should select screening tools tailored to their patient population, clinical setting, and available resources, as no single test can be universally recommended for all clinical scenarios.

Introduction: Circuit training is a form of body conditioning with endurance and resistance components. Given the function of skeletal muscle as an endocrine organ secreting various myokines involved in maintaining glucose metabolism homeostasis, our study focused on estimating the impact of the implemented training program on the direction of changes in myokines such as interleukin (IL)-6, IL-10, fibroblast growth factor 21 (FGF21), and irisin in women newly diagnosed with insulin resistance. Methods: This prospective controlled trial randomly divided 42 women into two groups. The training group performed circuit training combining strength (50%-80% of one-repetition maximum) and endurance (50%-75% of heart rate reserve) exercises for 3 months, three 33-min sessions weekly. Exercises were performed on five weight and two cardio machines. The control nontraining group did not change their previous activity. Body composition indicators and IL-6, IL-10, FGF21, and irisin levels were measured before and after the intervention. The data for 27 patients were analysed using two-way repeated measures analyses of variance. Results: The pattern of change in serum IL-6 levels over time differed significantly between the groups (p < 0.05). The patterns of change did not differ significantly between groups for IL-10, FGF21, and irisin. Conclusion: The circuit training program implemented in women newly diagnosed with insulin resistance significantly increased their serum IL-6 and not their IL-10, FGF21, and irisin levels. Trial Registration: ClinicalTrials.gov: NCT04528693.

Background: No comprehensive meta-analysis has evaluated the efficacy and safety of the protective effect of Jiedu Tongluo Therapy on the kidney of DKD until now. This meta-analysis covers this gap in knowledge. Methods: We have conducted an extensive search of databases, including CNKI, Wanfang, PubMed, and Web of Science. The selection was based on conventional treatment, including information and education on DKD, blood glucose, hypertension control methods, and lifestyle. The control group was composed of conventional western medicine or proprietary Chinese medicine, and the experimental group was composed of Jiedu Tongluo therapy controlled trials (RCTs) between 2003 and 2023. R 4.1.0 software was used to perform statistical analysis. Results: A total of 1871 patients from 19 RCTs were analyzed. Meta-analysis results showed that the Jiedu Tongluo therapy was effective in improving clinical efficacy (OR = 2.47, 95% CI [1.94, 3.15], I ² = 0%), and these trials were more effective in reducing Scr (MD = -19.81, 95% CI [-27.64, -11.97], p < 0.01), BUN (MD = -0.70, 95% CI [-1.13, -0.27], p < 0.01), UAER (MD = -29.97, 95% CI [-37.33, -22.61], p < 0.01), FBG (MD = -0.85, 95% CI [-1.22, -0.47], p < 0.01), and certain medication safety (OR = 0.75, 95% CI [0.27, 2.11]). Conclusions: For treating diabetic kidney disease, TCM-based Jiedu Tongluo therapy showed optimal clinical efficacy and safety. However, further rational experiments are needed to validate the above conclusions.

Purpose: This study is aimed at investigating health literacy (HL) among diabetes mellitus (DM) patients using a comprehensive, scientific, feasible, and suitable HL assessment indicator system tailored for the diabetic population in mainland China and systematically analyzing the factors influencing HL in this population. Methods: The Delphi expert consultation method was employed to initially draft and refine the Diabetes Health Literacy Evaluation Indicator System (DHLEIS). The reliability and representativeness of the indicator system were tested through metrics including the active coefficient, authority degree, and coordination degree. A HL survey questionnaire for diabetic patients was developed based on DHLEIS and administered to diabetic patients across five hospitals in Nantong and Yancheng cities, Jiangsu Province. The random forest method was utilized to deeply analyze the impact of various factors on HL and its four dimensions and to identify the core influencing factors. Results: Analysis of 707 questionnaires based on the DHLEIS revealed that nine factors-age, sex, body shape, income, exercise, education level, duration of DM, whether insulin is injected, and the number of cohabitants-significantly impact the HL levels. Among these, age, duration of DM, education level, and number of cohabitants were particularly influential across the four dimensions of health knowledge, awareness, behavior, and skills. Factors related to health knowledge and skills were the most significant contributors to overall HL. Conclusions: The multidimensional analysis of factors influencing HL offers valuable insights into characterizing varying levels of HL among diabetic patients. This approach supports targeted cognitive improvements and the effective enhancement of health skills, ultimately leading to better health outcomes.