Type 2 Diabetes Mellitus Patients Research Articles

Predictive Value of NT-proBNP, FGF21, Galectin-3 and Copeptin in Advanced Heart Failure in Patients with Preserved and Mildly Reduced Ejection Fraction and Type 2 Diabetes Mellitus

Background and Objectives: Heart failure (HF) is one of the most common initial presentations of cardiovascular disease (CVD) in patients with type 2 diabetes mellitus (T2DM). There are different cardiac biomarkers related to the pathophysiological mechanisms of HF in T2DM. The current research aims to identify additional biomarkers that could improve the diagnosis and prognosis of HFpEF, which is currently assessed using NT pro-BNP levels. NT pro-BNP is a valuable tool for diagnosing heart failure but may not always correlate with clinical symptom severity or can present normal levels in certain cases, such as obesity. Biomarkers like FGF-21 and galectin-3 could provide greater insight into heart failure severity, especially in diabetic patients. The main objective of the current study is to assess the performance of NT-proBNP, FGF21, Galectin-3 and Copeptin to discriminate between advanced and mild HF. Materials and Methods: A total of 117 patients were enrolled in this study and divided into two groups: 67 patients in NYHA functional class I-II (mild HF) and 50 patients in NYHA III-IV (advanced HF). NT-pro BNP, FGF21, Galectin 3 and Copeptin serum levels were determined with the ELISA method. Receiver operating characteristic (ROC) analysis and binomial logistic regression analysis were used to measure the ability of the studied biomarkers to distinguish between advanced and mild HF patients. Results: In patients with T2DM with advanced HF, serum FGF21 level was significantly positively correlated with eGFR (ρ = 0.35, p = 0.0125) and triglycerides (ρ = 0.28, p = 0.0465) and significantly negatively correlated with serum levels of HDL cholesterol (ρ = −0.29, p = 0.0386) and with RV-RA gradient (ρ = −0.30, p = 0.0358). In patients with mild HF, serum FGF21 level was significantly negatively correlated with NT-proBNP levels (ρ = −0.37, p = 0.0022), E/e’ ratio (ρ = −0.29, p = 0.0182), TR velocity (ρ = −0.24, p = 0.0470) and RV-RA gradient (ρ = −0.24, p = 0.0472). FGF21 (AUC = 0.70, 95% CI: 0.60−0.79) and NT-proBNP (AUC = 0.73, 95% CI: 0.63–0.82) demonstrated significant predictive value to discriminate T2DM patients with advanced HF from those with mild HF. Elevated values for FGF21 (≥377.50 ng/mL) or NTproBNP (≥2379 pg/mL) were significantly associated with increased odds of advanced HF after adjusting for demographic and clinical covariates. Conclusions: NTpro-BNP and FGF21 have a similar ability to discriminate T2DM patients with advanced HF from those with mild HF. Univariable and multivariable logistic models showed that, FGF21 and NTproBNP were independent predictors for advanced HF in patients with preserved and mildly reduced ejection fraction and T2DM.

Impact of allulose on blood glucose in type 2 diabetes: A meta-analysis of clinical trials

ObjectiveThis meta-analysis aims to evaluate the impact of allulose on blood glucose levels in patients with type 2 diabetes mellitus (T2DM). Primary outcomes include postprandial blood glucose, while secondary outcomes are time in range (TIR), time above range (TAR), fasting plasma glucose (FPG), and insulin area under the curve (AUC). MethodsA systematic search was conducted across PubMed/MEDLINE, Web of Science, Scopus, and Cochrane Library until May 20, 2024. Randomized controlled trials assessing the effect of allulose on glycemic parameters in T2DM patients were included. Data were synthesized using a random-effects meta-analysis model, and the quality of studies was assessed using the Cochrane Risk of Bias tool. ResultsSix studies involving 126 participants were included. Allulose significantly reduced glucose AUC (SMD: −0.6662, 95 % CI [-1.1360, −0.1964], p = 0.0054) with moderate heterogeneity (I2 = 58.3 %). Insulin AUC showed a non-significant reduction (SMD: −0.3648, 95 % CI [-0.7783, 0.0488], p = 0.0839). FPG demonstrated a non-significant reduction (MD: −5.8925, 95 % CI [-20.4892, 8.7043], p = 0.4288), while TAR significantly decreased (MD: −8.8204, 95 % CI [-14.4101, −3.2307], p = 0.0020). No significant changes were observed in TIR (MD: 7.1211, 95 % CI [-1.6028, 15.8450], p = 0.1096). ConclusionAllulose demonstrated a significant reduction in postprandial glucose levels and TAR, supporting its role as a dietary intervention for glycemic control in T2DM patients. The findings are robust, though further research is needed to confirm its long-term effects on insulin sensitivity and metabolic health.

Clinical, genomic, and proteomic perspectives in the analysis of comorbid conditions in type 2 diabetes mellitus: a retrospective study.

Type-2 Diabetes Mellitus (T2DM) affects millions globally, with escalating rates. It often leads to undiagnosed complications and commonly coexists with other health conditions. This study investigates two types of prevalent comorbidities related to T2DM-the circulatory system (DCM1) and digestive system diseases (DCM2)-using clinical, genomic and proteomic datasets. The aim is to identify new biomarkers by applying existing machine learning (ML) based techniques for early detection, prognosis and diagnosis of these comorbidities. Here, we report a cross-sectional retrospective analysis from a T2DM dataset of T2DM associated concordant comorbidities (diseases with shared pathophysiology and management) from the Diastrat cohort (a T2DM cohort) recruited at the Northern Ireland Centre for Stratified Medicine (NICSM), in Northern Ireland. In the clinical data analysis, we identified that lipidemia was shown to negatively correlate with depression in the DCM1 group while positively correlate with depression in the DCM2 group. In genomic analysis, we identified statistically significant variants rs9844730 in procollagen-lysine (PLOD2), rs73590361 in beta-1,4-N-acetyl- galactosaminyl-transferase (B4GALNT3) and rs964680 in A kinase (PRKA) anchor protein 14 (AKAP14) which appear to differentiate DCM1 and DCM2 groups. In proteomic analysis, we identified 4 statistically significant proteins: natriuretic peptides B (BNP), pro-adrenomedullin (ADM), natriuretic peptides B (NT-proBNP) and discoidin (DCBLD2) that can differentiate DCM1 and DCM2 groups and have built robust ML model using clinical, genomic, and proteomic markers (0.83 receiver operative characteristics curve area, 84% positive predictive value and 83% negative predictive value and a classification accuracy of 83%) for prediction of DCM1 and DCM2 groups. Our study successfully identifies novel clinical, genomic, and proteomic biomarkers that differentiate between circulatory and digestive system comorbidities in Type-2 Diabetes Mellitus patients. The machine learning model we developed demonstrates strong predictive capabilities, providing a promising tool for the early detection, prognosis, and diagnosis of these T2DM-associated comorbidities. These findings have the potential to enhance personalized management strategies for patients with T2DM, ultimately improving clinical outcomes. Further research is needed to validate these biomarkers and integrate them into clinical practice.

Exploring the interplay between DHCR7, vitamin D deficiency, and type 2 diabetes mellitus (T2DM): a systematic review.

Type 2 diabetes mellitus (T2DM) is a growing global health concern. The pathogenesis of T2DM is multifactorial and intricate, involving a complex interplay of genetic predisposition, environmental factors, and molecular interactions. Vitamin D (circulating 25-hydroxyvitamin D concentration) regulates factors crucial for T2DM, including insulin secretion, sensitivity, and inflammation. Thus, vitamin D deficiency has been linked to poor health outcomes in T2DM patients. The cholesterol-synthesizing enzyme 7-dehydrocholesterol reductase (DHCR7) represents a critical regulatory switch between cholesterol and vitamin D3 synthesis. Recent findings suggest that the enzyme DHCR7 may indicate T2DM glycolipid metabolic disorder and is associated with deficient circulating vitamin D (circulating 25-hydroxyvitamin D concentration) status. In this PRISMA-guided systematic review, articles were sourced from two databases, namely, PubMed and Cochrane Library, to evaluate the impact of vitamin D deficiency in patients with T2DM and to explore the emerging role of DHCR7 in T2DM pathogenesis. Our findings strongly indicate a positive correlation between deficient vitamin D status and poor health outcomes in T2DM patients. Finally, this systematic review presents a novel perspective on T2DM development, focusing on the interplay between T2DM-associated hyperglycemia, expression of DHCR7, and abrogation of vitamin D synthesis.

Influenza Vaccination Coverage and Influencing Factors in Type 2 Diabetes in Mainland China: A Systematic Review and Meta-Analysis

Background: Influenza has many harmful effects on people with type 2 diabetes mellitus (T2DM), such as hyperglycemia and increasing incidence of cardiovascular and cerebrovascular diseases. Epidemiological evidence shows that influenza vaccinations can effectively prevent deterioration in T2DM patients. At present, there is a lack of nationwide studies on the vaccination status of influenza vaccines for patients with certain chronic diseases. This study aimed to evaluate the influenza vaccination status of T2DM patients in mainland China and the factors affecting their influenza vaccination. Methods: Data were sourced from PubMed, Embase, Web of Science, the China Biology Medicine Disc (CBMdisc), the China National Knowledge Infrastructure (CNKI), and the Wanfang Database. The keywords used in the literature search included “diabetes”, “diabetes mellitus”, “DM”, “diabetic”, “T2DM”, “influenza vaccine”, “flu vaccine”, “China”, and “Chinese”. A total of 249 articles were retrieved through the searches; 7 articles met the inclusion criteria. The fixed-effects model was used when heterogeneity was low and a random-effects model was used when the heterogeneity was high. Results: The influenza vaccination coverage rate was 1.46% in diabetic patients and 9.99% in elderly diabetic patients. The influenza vaccination rate of type 2 diabetes patients with a high education level is higher than that of patients with a low education level. (OR: 1.462 [1.123, 1.903]). Meanwhile, gender (OR: 1.076, 95%CI: 0.893–1.295), marriage (OR: 1.283; 95%CI: 0.931–1.766), and occupation (OR: 1.049; 95% CI: 4.422–2.606) have no significant impact on influenza vaccination in patients with type 2 diabetes. Conclusions: This study found that the coverage of influenza vaccination in patients with T2DM in Chinese mainland was low, and there were few relevant research articles. In China’s mainland areas, education background is an important factor affecting the influenza vaccination of T2DM patients. China should continue to improve the influenza vaccination rate of patients with type 2 diabetes.

Vitamin D Deficiency in Patients with Type 2 Diabetes Mellitus with and without Pulmonary Tuberculosis

Background: Vitamin D has a role in the body's calcium balance and immunodeficiency effects, and stimulates dendric cells, monocytes, T cells, macrophages in pathogenic microbes’ elimination. The variation occurrence as polymorphism on VDR might cause problem in production, transportation, and activity of vitamin D. The gap between the occurrence findings in previous studies shows that there are indication factors of VDR levels that probably associate with the T2DM range in comorbid with pulmonary tuberculosis. To determine vitamin D levels and factors associated with vitamin D deficiency in Type 2 Diabetes Mellitus (T2DM) patients with and without pulmonary Tuberculosis (TB). Method: The design of this study was cross-sectional. T2DM subjects with pulmonary TB were 45 people, and 43 people without pulmonary TB were 43 people. Sampling was done by consecutive sampling from October to December 2017. We collected data through interviews and examination of plasma vitamin D (25-OH) levels by ELISA. Data analysis using the Mann-Whitney test, and chi-square test with a confidence level of 95%. Result: There were 88 T2DM patients who met the inclusion criteria, consisting of 43 T2DM patients without pulmonary TB and 45 T2DM patients with pulmonary TB as the study subjects. There were differences in the distribution of T2DM subjects based on sex and BMI measurements. The mean plasma vitamin D levels in T2DM with pulmonary TB and T2DM without pulmonary TB were 20.08 ng/ml (SD ± 0.83 ng/ml) and 20.29 ng/ml (SD ± 0.81 ng/ml), respectively, we found no significant result in statistic (p = 0.287). Vitamin D deficiency was not associated with the incidence of pulmonary TB in T2DM, whereas female sex, age> 50 years, BMI ? 25.0 kg /m2, and duration of T2DM> 5 years were associated with vitamin D deficiency (p <0.05). This research has contributed in novel findings of the correlation between sex and BMI associated in duration of T2DM impacted the Vitamin D insufficiently. Conclusion: Sex, age, BMI, and duration of T2DM had a significant correlation with vitamin D deficiency in T2DM patients with and without pulmonary TB.

Association between blood heavy metals and diabetic kidney disease among type 2 diabetic patients: a cross-sectional study.

Studies on the correlation of exposure to metals with diabetic kidney disease (DKD) is scarce, especially concerning the impact of mixed metals on DKD. This study aimed to explore the association of blood heavy metals with DKD risk among type 2 diabetes mellitus (T2DM) patients. This cross-sectional study enrolled patients with T2DM in NHANES 2011-2020. ICP‒MS was applied to detect five metals, namely, Pb, Cd, Hg, Se and Mn, in blood. At the same time, the impacts of exposure to single and mixed metals on DKD were assessed using multivariable logistic regression, WQS, and BKMR models. The relationship was examined based on age, sex, BMI, hypertension, smoking status and PIR. Totally 2362 participants were enrolled for final analysis. Among them, 634 (26.84%) patients undergoing T2DM had DKD. Logistic regression indicated that, Pb (Q4: OR [95% CI]: 1.557 [1.175, 2.064]) was related to DKD when all covariates were adjusted. The WQS analysis, which was set in a positive directional mode, suggested that Pb was correlated positively with a higher incidence of DKD. In BKMR analysis, linear dose‒response curves were generated for Pb when fixing the other metals in the 50th percentile. In addition, exposure to mixed metals was significantly positively related to DKD. Subgroup analysis during logistic regression demonstrated that Pb was significantly and positively related to DKD in females, over 50 years, those with over 25kg/m2, no hypertension, no smoking status and under PIR. Serum albumin (ALB) did not regulate the indirect impact of blood Pb on DKD risk. The results showed that the increased mixed metal concentration may lead to an increased DKD risk among patients with T2DM. Blood Pb is positively related to the DKD risk in diabetic patients, especially, in females, over 50 years, those with over 25kg/m2, no hypertension, no smoking status and under PIR in T2DM patients. According to our observations, Pb absorption at least slightly influences DKD occurrence and progression. More studies are needed to validate the results in this work and illustrate the relevant biological mechanism.

Efficacy of One Anastomosis Gastric Bypass Versus Sleeve Gastrectomy and Roux-en-Y Gastric Bypass for the Treatment of Type 2 Diabetes Mellitus: a Systematic Review and Meta-Analysis of Randomized Clinical Trials.

The worldwide prevalence of type 2 diabetes mellitus (T2DM) is increasing in parallel with obesity. One anastomosis gastric bypass (OAGB) is considered effective to treat both T2DM and obesity. The aim of this study was to evaluate the efficacy of OAGB versus sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) for treatment of T2DM, analyzing data exclusively from randomized control trials (RCTs). Α systematic review of published RCTs comparing OAGB versus RYGB or SG (control groups) in T2DM patients regarding diabetes remission and weight loss was performed. Primary endpoints were T2DM remission rate and 1-year and 5-year % weight loss postoperatively. Initial search identified 39 references, of which 8 RCTs were considered eligible for meta-analysis inclusion, comprising 636 patients (311 OAGB, 122 RYGB, 203 SG patients). Main meta-analysis findings were: i) higher 1-year %EWL for OAGB than control group (p = 0.04); ii) higher 5-year %EWL for OAGB than control group (p < 0.01); iii) no difference in 1-year remission rate of T2DM between OAGB and control group (p = 0.14); iv) 28% higher 5-year remission rate of T2DM for OAGB than control group (p < 0.01). OAGB had statistically significant better outcomes compared to RYGB and SG regarding T2DM remission and %EWL at 5years. Further pathophysiologic studies are needed to indicate the most potent bariatric procedure in patients with T2DM and obesity.

Comparison of clinical characteristics, microvascular complications and inflammatory markers in type 2 diabetic patients under insulin versus metformin treatment: A cross-sectional study at Karbala Diabetic Center, Iraq.

Type 2 diabetes mellitus (T2DM) is a major global health issue associated with chronic inflammation, which contributes to both disease progression and its complications, including cardiovascular and microvascular disorders. Key inflammatory markers such as tumor necrosis factor-alpha, interleukin-6 (IL-6), E-selectin, and P-selectin are elevated in T2DM patients and are implicated in the development of these complications. Understanding how treatments such as insulin and metformin affect these markers is crucial for improving therapeutic strategies in T2DM. This study investigated the effects of insulin and metformin on these inflammatory markers in T2DM patients. This was a cross-sectional study involving patients with diabetes on insulin (group A), metformin only (group B), and healthy controls (group C). Participants were enrolled from the Diabetic Center in Karbala, Iraq and underwent clinical assessments including ophthalmologic examinations. Fasting blood glucose, HbA1c and lipids levels were assessed. The levels of inflammatory markers (IL-6 and TNF-α), and adhesion molecules (sE-selectin and sP-selectin) were measured using Enzyme-Linked Immunosorbent Assay (ELISA). The study included 522 patients with diabetes: 356 receiving insulin (group A), 70 receiving metformin (group B) and 96 healthy controls (group C). T2DM patients treated with insulin exhibited significantly more microvascular complications than those treated with metformin. Higher rates of retinopathy (64.3% vs 11.4%) and neuropathy (69.9% vs 11.4%) were observed in the insulin group, whereas the incidence of nephropathy did not differ significantly (14.6% vs 11.4%). Inflammatory markers were lower in the insulin group: TNF-α levels were 3-fold lower and IL-6 levels were 8-fold lower. Conversely, sE-selectin levels were 1.5-fold higher in the insulin group, and sP-selectin levels were 1.4-fold higher in the metformin group. This study highlights distinct differences in inflammatory markers and systemic complications between T2DM patients treated with insulin and those treated with metformin alone. Further research is needed to explore the mechanisms underlying these observations and optimize treatment strategies for T2DM patients.

Effectiveness of health education on insulin injection technique in patients with type 2 diabetes mellitus: A quasi-experimental Pre-test post-test research

ABSTRACT Introduction: Type 2 Diabetes Mellitus (T2DM) patients often exhibit gaps in knowledge and improper practices regarding insulin injection techniques. This quasi-experimental study aimed to assess the effectiveness of tailored health education in bridging these gaps and improving insulin injection practices among T2DM patients. Objectives: The study aimed to evaluate baseline knowledge and practices related to insulin injection techniques among T2DM patients, implement a tailored health education intervention, and assess the impact of this intervention on knowledge and practices. Methodology: Participants included T2DM patients attending rural health centers. A structured questionnaire was utilized to assess baseline knowledge and practices. Tailored health education sessions were then conducted, incorporating video-based teaching, mock demonstrations, and handouts in the local language. Post-intervention assessments were performed using the same questionnaire. Data were analyzed using appropriate statistical methods. Results: At baseline, a significant knowledge gap and improper insulin injection practices were identified among participants. Following the tailored health education intervention, a substantial improvement in participants’ knowledge of insulin storage, handling, and administration was observed. The intervention also positively impacted insulin injection practices, emphasizing key areas such as handwashing, site cleansing, and needle disposal. Conclusion: This quasi-experimental study highlights the effectiveness of tailored health education in enhancing insulin injection practices among T2DM patients. The findings emphasize the potential for structured health education programs to address knowledge gaps, improve healthcare standards, and enhance the overall quality of life for individuals with T2DM. The study underscores the importance of individualized educational approaches to meet patient needs better.

The Dominant Personality Trait in Type 2 Diabetes Mellitus Patients at Dr. Soetomo General Hospital Surabaya

Introduction: Diabetes mellitus (DM) is a chronic disease characterized by elevated blood sugar levels above the normal range. The global prevalence of DM increased, with over 90% of cases being Type 2 Diabetes Mellitus (T2DM). People attempted various physical therapies, including adopting a healthy lifestyle through dietary adjustments, physical activity, and pharmacological interventions. However, we have not extensively explored non-physical therapies related to personality traits, and the incidence of DM remains high. The Big Five Personality Theory encompasses openness, conscientiousness, extraversion, agreeableness, and neuroticism. Each personality trait is believed to have specific tendencies toward diseases, emphasizing the importance of identifying the dominant personality traits in T2DM patients. This study aims to identify the dominant personality type in T2DM patients based on the Big Five Personality Theory at Dr. Soetomo General Hospital Surabaya. Methods: We employed a cross-sectional approach for data collection, using Big Five personality questionnaires as the primary data sources. Results: Among the 68 T2DM patients who participated in this study at Dr. Soetomo General Hospital Surabaya, from October 2022 to May 2023, the mean age of patients was 51-60 years, with a majority of female participants (63.2%) and male participants (37.8%). The questionnaire results indicated that the dominant personality trait was agreeableness (85.3%). Conclusion: The dominant personality type in T2DM patients, according to the Big Five Personality Theory at Dr. Soetomo General Academic Hospital Surabaya, was agreeableness (85.3%).

A Qualitative Study of Type 2 Diabetes Mellitus Outpatients' Perspectives on Readiness, Acceptance and Barriers of Mobile Apps for Medication Adherence

ObjectivesThis qualitative phenomenological study explored the perspectives of type 2 diabetes mellitus (T2DM) outpatients in adopting mobile apps for medication adherence management. MethodsThrough 25 semi-structured in-depth interviews, themes were identified using thematic analysis, guided by the Technology Readiness and Acceptance Model (TRAM). ResultsAnticipated convenience and benefits, openness to new technologies acted as drivers, while limited digital literacy and concerns about data privacy and security served as inhibitors of readiness to adopt health apps. Acceptance was influenced by elements related to medication, patient, healthcare professional, family and app aspects. The identified barriers were related to patient, smartphone and monetary factors. Patients perceived the need to adopt digital apps were for those with poor adherence, complex medication regimen and forgetfulness issues. However, concerns about effectively implementing this approach were noted as T2DM patients were predominantly late middle-aged adults who faced technical challenges, leading to combination approach between digital technology and conventional patient education and counselling. ConclusionThe findings highlighted the factors influencing patient's readiness, acceptance, and barriers on effective utilisation of digital health solutions in managing adherence issues. Practical implicationsThe elements of TRAM provide guidance for strategic actions to enhance digital health technology adoption among T2DM patients.

Concomitant detection of serum ATF4 levels and MAGE is helpful to predict the occurrence of osteoporosis in patients with type 2 diabetes mellitus

BackgroundActivating transcription factor 4 (ATF4) and mean amplitude of glycemic excursion (MAGE) have been implicated in the pathogenesis of osteoporosis (OP) and type 2 diabetes mellitus (T2DM). This retrospective cohort study assessed the predictive value of serum ATF4 and MAGE for the occurrence of OP in T2DM patients. MethodsA total of 162 patients with T2DM were assigned to T2DM and T2DM + OP groups. All participants underwent serum ATF4 level detection and 72-h blood glucose monitoring (MAGE measurement). The correlations of ATF4 and MAGE with glucose and bone metabolism indicators and bone mineral density (BMD) were analyzed. A multivariate logistic regression model was developed to evaluate the correlations of ATF4 and MAGE with T2DM-associated OP. The diagnostic performance of concomitant detection of ATF4 and MAGE was assessed based on the area under the receiver-operating characteristics curve (AUC). ResultsT2DM patients with OP had higher serum ATF4 levels and MAGE than T2DM patients. ATF4 and MAGE were correlated positively with FINS, HbA1c, HOMA-IR, β-CTX, and TRACP-5b and negatively with BALP, PINP, PICP, and BMD. Elevated levels of ATF4 and MAGE were independent risk factors but increased BMD at the hip, femoral neck, and lumbar spine was a protective factor for T2DM patients with OP. More importantly, the AUC of concomitant ATF4 and MAGE was considerably higher than that of ATF4 or MAGE alone. ConclusionConcomitant detection of ATF4 and MAGE potentially aids in predicting the occurrence of OP in patients with T2DM.

Correlations between the long noncoding RNA MEG3 and clinical characteristics for diabetic kidney disease in type 2 diabetes mellitus

Background and aimsDiabetic kidney disease (DKD) is a common complication of type 2 diabetes mellitus (T2DM) that leads to systemic inflammation. Maternally expressed gene 3 (MEG3) is a tumor suppressor that is involved in inflammation regulation. The current study investigated the association between DKD and the prevalence of the single-nucleotide polymorphisms (SNPs) of MEG3.MethodsA total of 706 and 735 patients were included in the DKD and non-DKD groups, respectively. The five SNPs of MEG3, namely rs4081134 (G/A), rs10144253 (T/C), rs7158663 (G/A), rs3087918 (T/G), and rs11160608 (A/C), were genotyped using TaqMan allelic discrimination.ResultsOur results revealed that, in the DKD group, the distribution of the GG genotype of the MEG3 SNP rs3087918 was significantly lower than that of the wild-type genotype (AOR: 0.703, 95% CI: 0.506–0.975, P = 0.035). In addition, in the pre-ESRD DKD subgroup, the distribution of the TG + GG genotype of the MEG3 SNP rs3087918 was significantly lower than that of the wild-type genotype (AOR: 0.637, 95% CI: 0.421–0.962, P = 0.032). In addition, among men in the DKD subgroup, the distribution of the GG genotype of the MEG3 SNP rs3087918 was significantly lower than that of the wild-type genotype (AOR: 0.630, 95% CI: 0.401–0.990, P = 0.045). Glycated hemoglobin (HbA1c) level was significantly higher in all T2DM patients with the wild-type genotype of the MEG3 SNP rs3087918 (P = 0.020). In addition, HbA1c levels were significantly higher in male patients and male DKD patients with the wild-type genotype of the MEG3 SNP rs3087918 (P = 0.032 and 0.031, respectively).ConclusionMEG3 SNP rs3087918 is significantly less prevalent in patients with DKD, and the SNP rs3087918 of MEG3 is associated with lower HbA1c levels.

ANGPTL3 as a target for treating lipid disorders in type 2 diabetes patients

Type 2 diabetes mellitus (T2DM) is a globally prevalent metabolic disorder, and cardiovascular disease (CVD) is a significant cause of mortality and morbidity in diabetic individuals. In addition to hyperglycemia, lipid abnormalities associated with T2DM play a crucial role in the development of CVD complications. Diabetic dyslipidemia is characterized by elevated levels of triglyceride (TG)-rich lipoproteins and small dense low-density lipoprotein (LDL) particles, reduced high-density lipoprotein (HDL) cholesterol, and impaired HDL function. Angiopoietin protein-like 3 (ANGPTL3) is a liver-derived protein that plays a crucial role in regulating plasma lipoprotein metabolism by inhibiting lipoprotein lipase and influencing lipid levels. Inhibiting ANGPTL3 has shown promising effects in promoting HDL-mediated cholesterol reverse transport and reducing the levels of TG-rich lipoproteins and LDL cholesterol. Here, we explore the potential of ANGPTL3 as a therapeutic target for lipid management in T2DM patients.

Association of serum uric acid levels with glycated haemoglobin in diabetic patients and healthy controls

ABSTRACT Introduction: Uric acid is formed from purine degradation. Hyperuricemia has emerged as a risk factor for various metabolic diseases including Diabetes mellitus (DM). Uric acid may act as a glucometabolic indicator for Type 2 Diabetes mellitus (T2DM). Glycated haemoglobin (HbA1c) is an indicator of long-term glycaemic control used for diagnosing and monitoring T2DM. However, the association between HbA1c and uric acid is controversial. The present study aimed to study the association of serum uric acid (SUA) levels with HbA1c. Materials and Methods: This cross-sectional comparative study was conducted in a Tertiary Care Hospital in Northern India after permission from the institutional Ethical committee. The study included patients attending the Outpatient Department of the hospital during the study period. Diagnosed cases of DM as per World Health Organization criteria were included as cases. Controls comprised of apparently healthy subjects of the age group 18–50 years attending OPD Patients and Health Care workers. Both cases and control were divided into two groups those with normal uric acid levels and the hyperuricemia group in both males and females to study the association between HbA1c and uric acid levels. Results: The study constituted 1460 participants of which 880 control and 580 DM. The overall prevalence of hyperuricemia was 17.8%. HUA prevalence was 17.04%–18.9% in the control and diabetic population, respectively. SUA levels in T2DM patients were negatively correlated with glycated HbA1c, and FBS whereas positively correlated with glycated HbA1c in controls. Conclusion: While non-diabetic individuals tend to exhibit higher SUA levels, a decreasing trend has been observed in diabetic individuals. A negative association was observed between SUA level and HbA1c in DM in contrast to controls. Therefore, the utilization of SUA as a marker for assessing glucose metabolism should be approached with careful consideration taking care of these complex dynamics.

Diabetic Peripheral Neuropathy and Glycemia Risk Index in Type 2 Diabetes: A Cross-Sectional Study.

Diabetic peripheral neuropathy (DPN) is a prevalent chronic complication of diabetes which is linked to chronic hyperglycemia and glycemic variability. This study aimed to investigate the association between the glycemia risk index (GRI) and DPN in patients with type 2 diabetes mellitus (T2DM) using continuous glucose monitoring (CGM) data. From 2019 to 2023, 862 adults diagnosed with T2DM were enrolled at a tertiary care diabetes center in Ningbo, China. The medical history and laboratory parameters were recorded. Neurophysiological examinations were performed to evaluate DPN. The CGM data were recorded for 14 days, and the GRI was calculated based on these data. Multivariate logistic regression analyses were conducted to assess the odds ratio (OR) for DPN with an increased GRI. The prevalence of DPN in the ascending GRI quartiles was 41.6%, 47.9%, 49.1%, and 59.5%, respectively (P for trend < 0.001). In the multivariable logistic analysis, the highest GRI quartile exhibited a 63% greater risk of DPN (OR 1.631, 95% CI: 1.071 to 2.484, P = 0.023) than the lowest quartile after adjusted for age, sex, body mass index, diabetes duration, blood pressure, creatinine, urinary albumin-to-creatinine ratio, lipid profile and glycated hemoglobin. High GRI levels, as measured by CGM, were associated with a greater likelihood of DPN in T2DM patients.

Clinical Profile and Risk Factors for Complication of Type 2 Diabetes Mellitus at the National Referral Hospital, Bhutan: A Descriptive Cross-Sectional Study.

Globally, diabetes mellitus is a major public health concern affecting 10.5% of the population. Nearly 90% of these people have Type 2 diabetes mellitus (T2DM). In Bhutan, T2DM is prevalent in 5.6% of the population, and around 60% are unaware of their diagnosis of diabetes. There is no baseline information on the rate and the risk factors for complications of diabetes in Bhutan. The study assessed the clinical profile and the risk factors for complications of T2DM at the Jigme Dorji Wangchuk (JDW) National Referral Hospital, Bhutan. A descriptive cross-sectional study was conducted at the JDW National Referral Hospital, Bhutan, from January to December 2019. Patients with T2DM attending diabetic clinics were included in the study. Demographic variables and metabolic profiles were recorded using a standard pro forma. Descriptive statistics were used to express the results. The association of clinical profiles with the microvascular complication was assessed using multivariate logistic analysis with statistical significance at p < 0.05. There were 292 patients with T2DM during the study period. The rate of microvascular complication is around 25% in T2DM. Among the complications, diabetic retinopathy occurred in over 51%, followed by neuropathy (29.7%) and nephropathy (18.9%). Over 1/3rd of patients had a duration of diabetes over 10 years with a mean duration of 6.3 (5.4) years, and around 44% (127/292) of them had poor glycemic control (HbA1C ≥ 7%). The age ≥ 60 years and the duration of diabetes ≥ 10 years were independent risk factors for microvascular complications in T2DM patients. Regular exercise prevents retinopathy (OR 0.4, 95%CI 0.2-0.9, p = 0.026). There is a microvascular complication in 1 in 4 of type 2 diabetic patients. Age over 60 years and a duration of diabetes of more than 10 years are independent risk factors for microvascular complications, and regular exercise is preventive for microvascular complications.

Serum megalin levels in type-2 diabetes mellitus with and without cardiovascular disease

ABSTRACT Background: Low-density lipoprotein receptor-related protein-2 (LRP2), also called megalin, is a multi-ligand receptor of the LDL receptor gene family mediating reabsorption of ligands like Apo-A1. Type 2 diabetes mellitus (T2DM) may possibly disrupt megalin functions as it is found to be regulated by insulin. This might cause cardiovascular complications due to derangement in lipoprotein metabolism. The current study was carried out to assess the serum megalin levels among T2DM individuals with cardiovascular complications in the Indian population. Methods: This was a cross-sectional study involving 80 patients with T2DM. 40 T2DM patients with known cardiovascular disease were selected as cases and 40 of those without evidence of cardiovascular disease were selected as controls. Demographic details, DM duration and class of oral hypoglycemic agents (OHA) used were collected from medical records while details of lipid profile, fasting glucose, serum creatinine and urea were collected from laboratory information system. Serum megalin levels were estimated using left-over samples by ELISA. Results: The study groups showed no statistical significance in baseline laboratory parameters except for serum creatinine and low density lipoprotein cholesterol (LDL-c). Mean serum megalin levels were statistically insignificant between cases and controls (0.91 ± 0.78 ng/mL vs. 0.85 ± 0.69 ng/mL, P 0.74).The subgroup analysis of serum megalin levels based on OHA consumption among cases was also statistically insignificant (P 0.056). Pearson’s correlational analysis was statistically insignificant between serum megalin and lipid profile parameters among cases (P &gt; 0.05). Conclusion: Serum megalin alone may not serve as a biomarker for cardiovascular disease.

Structural and functional alterations of the hippocampal subfields in T2DM with mild cognitive impairment and insulin resistance: A prospective study.

Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance (IR) and is often accompanied by mild cognitive impairment (MCI). The detrimental effects of T2DM and IR on the hippocampus have been extensively demonstrated. Few studies have examined the effects of IR on structure and function of hippocampal subfields in T2DM-MCI patients. A total of 104 T2DM patients were recruited in this prospective study and divided into four groups (T2DM-MCI-higherIR, n = 17; T2DM-MCI-lowerIR, n = 32; T2DM-nonMCI-higherIR, n = 19; T2DM-nonMCI-lowerIR, n = 36). Structure and function MRI data were captured. Clinical variables and neuropsychological scores were determined for all participants. Hippocampal subfield volume and functional connectivity were compared among four groups. Partial correlation analysis was performed between imaging indicators, clinical variables, and neuropsychological scores in all patients. T2DM-MCI-higher IR group had the smallest volumes of bilateral hippocampal tail, right subiculum-body, right GC-ML-DG-body, and right CA4-body. IR in right hippocampal tail, right subiculum-body, and right GC-ML-DG-body exerted main effect. Furthermore, elevated functional connectivity was found between right subiculum-body and bilateral dorsolateral prefrontal cortex and right anterior cingulate-medial prefrontal cortex. Hippocampal subfield volume positively correlates with total cholesterol and triglycerides and negatively correlates with fasting insulin. The present study found that T2DM-MCI patients have structural and functional alterations in hippocampal subfields, and IR is a negative factor influencing the alteration of hippocampal subfields volume. These findings support the importance of IR in T2DM-MCI patients and might be potential neuroimaging biomarkers of cerebral impairment in T2DM-MCI patients.