Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus

Gender differences in the association between the uric acid to high-density lipoprotein cholesterol ratio and diabetes risk: a mediation analysis of c-reactive protein, triglycerides, and insulin resistance

BACKGROUND

The uric acid to high-density lipoprotein cholesterol ratio (UHR) has emerged as a novel metabolic marker and is proven to be associated with diabetes risk. However, there is still a lack of systematic research regarding its role in gender differences and underlying mechanisms. This study aims to assess the association of UHR with diabetes risk in the context of gender differences and to investigate its mediation effects through metabolic and inflammatory pathways.

METHODS

This study utilized data from NHANES 2005-2010 and included 6,843 adult participants. Multivariate logistic regression was employed to assess the association between UHR and diabetes risk, and restricted cubic spline (RCS) along with correlation analysis was applied to explore its relationship with metabolic risk factors. Multiple mediation analysis was conducted to evaluate the mediating effects of homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides (TG), and C-reactive protein (CRP) on the association between UHR and diabetes risk.

RESULTS

In the overall population, UHR was significantly positively associated with diabetes risk, but gender-stratified analysis revealed a stronger predictive effect in women. In the unadjusted model, every unit increase in UHR was linked to an 18.6% increase in diabetes risk in women (p < 0.001). In the quartile analysis, women in the highest quartile showed an 8.49-fold increased risk of diabetes (OR = 8.494, 95% CI: 5.542-13.019, p < 0.001), whereas no significant association was observed in men (p > 0.05). Mediation analysis revealed that HOMA-IR was the main mediator of the relationship between UHR and diabetes risk, with mediation effects of 64.55%, 118.38%, and 39.09% in the overall population, men, and women, respectively. Additionally, the mediation effect of TG was stronger in men (36.78%) and weaker in women (17.31%). The mediation effect of CRP was relatively minimal across all groups, accounting for 7.62% in men and 2.67% in women.

CONCLUSION

This study demonstrates that the association between UHR and diabetes risk exhibits gender differences, with higher diabetes risk observed in women, while men show stronger mediation effects in insulin resistance, lipid metabolism, and inflammatory response.

Sex-Specific Variations in the mRNA Levels of Candidate Genes in Peripheral Blood Mononuclear Cells from Patients with Diabetes: A Multistep Study

BACKGROUND

Type 2 diabetes (T2D) is one of the most prevalent diseases that also show sexual dimorphism in many different aspects.

OBJECTIVES

This study aimed to distinguish the mRNA expression of genes in peripheral blood mononuclear cells (PBMCs) in men or women with T2D using a multistep analysis.

METHODS

A total of 95 patients with T2D were compared based on their sex in terms of clinical variables and mRNA expression in their PBMCs.

RESULTS

Men with T2D had lower LDLC, HDLC, and HbA1c values in their blood, but greater creatinine levels. In men with T2D, TLR4, CCR2, NOX2, and p67phox mRNA expression was greater, but IL6 and NF-κB mRNA expression was lesser in PBMCs. There was a link between fasting plasma glucose (FPG), triglycerides, and hs-CRP, as well as COX1 mRNA in men with T2D. In women with T2D, FPG was associated with the mRNA expression of THBS1 and p67phox, as well as triglycerides and HDLC levels. We found the exclusive effect of FPG on HDLC, HbA1c, as well as p67phox mRNA in PBMCs of women with T2D. Analysis revealed the exclusive effect of FPG on hs-CRP and PAFR mRNA in PBMCs of men with T2D. FPG was shown to be associated with body mass index, hs-CRP, triglycerides, and COX1 mRNA in men with T2D, and with serum triglycerides, THSB1, and p67phox mRNA in women with T2D, according to network analysis. HbA1c was linked with NF-κB mRNA in women with T2D.

CONCLUSIONS

Using a multistep analysis, it was shown that network analysis outperformed traditional analytic techniques in identifying sex-specific alterations in mRNA gene expression in PBMCs of T2D patients. The development of sex-specific therapeutic approaches may result from an understanding of these disparities.

Lipid profiles and their relation to glycemic control in Saudi Arabia: The role of altitudes and environmental factor

Background

The height from sea levels, environmental factors, human-environment interactions, and lifestyle significantly influence the lipid profile and glycemic control of a population.

Objective

This study aims to explore the influence of altitude on lipid profiles and glycemic control among the Saudi population at sea level and high altitude.

Methods

In this retrospective cross-sectional study, a large dataset of patients of both gender and over 30 years old attending internal medicine clinics from two different regions at different heights from sea level, Jeddah (sea level) and Asir region (high altitudes) and referred to commercial laboratories for glycated haemoglobin (HbA1c) and lipids profile.

Results

Compared to the Asir region, the Jeddah region had significantly higher mean values for fasting blood sugar (FBG), total cholesterol (TC), low-density lipoprotein (LDL-C), and triglycerides (TG) (P < 0.05). Every 1 mg/dL increase in FBG results in a 0.662 mg/dL increase in TG from the Jeddah region. However, it was a 0.318 mg/dL increase in TG from the Asir region. HbA1c demonstrated a significant (P < 0.05) strong positive correlation with TC, low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and lipid ratio. FBG levels were also associated with a high level of TC/HDL-C (β = 0.137 95% confidence interval [CI]: 0.11-0.21; P < 0.05), LDL-C/high-density lipoprotein cholesterol (HDL-C) (β = 0.50; 95% CI: 0.31-1.49; P < 0.05), and TG/HDL-C (β = 0.14; 95% CI = 0.12-0.15; P < 0.05) in Jeddah region. However, significantly high blood pressure was observed in the population from high altitudes.

Conclusion

Our results demonstrated a significant positive correlation between lipid profile and glycemic control with high prevalence at sea level.

Dyslipidemia among patients with type 2 diabetes in Jordan: Prevalence, pattern, and associated factors

Objectives

To determine the prevalence and patterns of dyslipidemia and its associated risk factors among patients with type 2 diabetes attending the National Center for Diabetes, Endocrinology, and Genetics (NCDEG).

Methods

A cross-sectional study was conducted at the NCDEG in Amman, Jordan. A total of 971 patients with type 2 diabetes were included during the period September- December 2021. The socio-demographic data were collected through face-to-face interview questionnaire and anthropometric and clinical data were abstracted from medical records. The last three readings of lipid profile and HbA1C were abstracted from the medical records.

Results

The overall prevalence of dyslipidemia among type 2 diabetic patients was 95.4%. The most common type of dyslipidemia was combined dyslipidemia (37.1%), with high triglycerides and low HDL-c (19.0%) being the most frequent type. Factors associated with hypercholesterolemia were diabetes duration ≤ 10 years, poor compliance to a statin, and HbA1c level (7-8%) (P-values: 0.008, 0.001, 0.021, respectively). Moreover, smoking and poor compliance with statin therapy were associated with high LDL-c level (P-values: 0.046 and 0.001, respectively). The presence of hypertension, high waist circumference, HbA1c level >8%, and diabetes duration ≤ 10 years were all associated with high triglyceride level (P-values: 0.008, 0.016, 0.011, and 0.018, respectively). Hypertension and HbA1c level >8% were associated with low HDL-c level (P-values: 0.010 and 0.011, respectively).

Conclusion

The combination of high triglyceride and low HDL-c is the commonest lipid abnormality detected in patients with type 2 diabetes. An educational program that emphasizes the importance of adherence to a healthy lifestyle is strongly recommended. Further studies are needed to capture a wide range of factors that might influence dyslipidemia and glycemic control.

Prevalence and Regulation of Dyslipidemia Among Adults With Type 2 Diabetes From Three Primary Health Care Centers in Riyadh

Background

Dyslipidemia is an added risk factor in patients with type 2 diabetes who are more prone to develop cardiovascular diseases as it implies an alteration of the lipid level leading to serious health complications.

Objective

This study aimed at assessing the prevalence of dyslipidemia among patients with type 2 diabetes and comparing the lipid profile measurements between controlled and uncontrolled type 2 diabetic patients.

Method

A cross-sectional retrospective study was performed in three primary health care centers in Saudi Arabia. A sample of 418 patients with type 2 diabetes was enrolled in this study. To collect data, the researcher used a structured questionnaire and retrieved patients' data from the electronic medical records in the study setting.

Results

The findings of the study showed that 82.1% of type 2 diabetes mellitus (DM) patients recruited in this study were dyslipidemic. In addition, it was found that there was a significant difference in triglycerides, fasting blood sugar (FBS), and high-density lipoprotein (HDL) between controlled and uncontrolled diabetic patients (p≤0.05). Moreover, a significant interaction was found between gender, HbA1c control, educational level, and frequency of exercising on one hand and dyslipidemia on the other hand (p≤0.05).

Conclusion

The study concluded that there is a high prevalence of dyslipidemia among type 2 diabetic patients in Saudi Arabia and a significant interaction between dyslipidemia and diabetic patients' gender, HbA1c control, educational level, and frequency of exercising. The study recommends increasing type 2 diabetic patients' awareness regarding the management of diabetes and dyslipidemia and the importance of providing educational intervention regarding diabetes self-care activities.

Frequency distribution and association of Fat-mass and obesity (FTO) gene SNP rs-9939609 variant with Diabetes Mellitus Type-II population of Hyderabad, Sindh, Pakistan

BACKGROUND/AIM

Diabetes Mellitus (DM) is one of the important public health issues worldwide. The Fat mass obesity (FTO) gene rs-9939609 variant identified single nucleotide polymorphism (SNP) with the T to A missense mutation, and has a strong association with T2DM. FTO gene is present on chromosome "16q12.2" comprising of nine exons. FTO gene rs-9939609 a variant is commonly found in the Pakistani Population. The purpose of the study was to alert the population about the rs-9939609 variant SNP, having a strong association with T2DM.

MATERIAL AND METHODS

Total of 190 participants were included in the present cross-sectional study. To collect the samples non-probability convenience technique was used. subjects were recruited and divided into three groups, normal healthy subjects, obese and T2DM. The patients were selected from the Medicine department Jamshoro/Hyderabad by filling the pre-designed proforma, as well as verbal and written consent taken from study participants. To analysed the data ANOVA Post hoc (Tukey-test) was applied for comparison among groups (P < 0.05) and "SNP-STAT" online software was used for frequencies.

RESULTS

The BMI, neck circumference, waist circumference and lipid profile, fasting blood sugar and HbA1c was found significant (p < 0.001) in both genders as compared to control. Homozygous and heterozygous distribution of allelic and genotyping frequency was found in study participants. 37.9 %T/A, 57.4% T/T, and A/A were 4.7%. The FTO gene rs-9939609 variant amplified and have an increased risk of developing T2DM in the Sindh population. Codominant model odd ratio of T/A showed 2.42 (CI)1.23-3.84, with significant p < 0.032.

CONCLUSION

The present study concluded that the FTO gene SNP rs-9939609 variant was found in the population of Hyderabad, Sindh and having strong association with T2DM and obese individuals. Increase BMI, neck and waist circumference are the biomarkers of obesity and causative factors of T2DM.

Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records

Background

Predicting the risk of glycated hemoglobin (HbA_1c) elevation can help identify patients with the potential for developing serious chronic health problems, such as diabetes. Early preventive interventions based upon advanced predictive models using electronic health records data for identifying such patients can ultimately help provide better health outcomes.

Objective

Our study investigated the performance of predictive models to forecast HbA_1c elevation levels by employing several machine learning models. We also examined the use of patient electronic health record longitudinal data in the performance of the predictive models. Explainable methods were employed to interpret the decisions made by the black box models.

Methods

This study employed multiple logistic regression, random forest, support vector machine, and logistic regression models, as well as a deep learning model (multilayer perceptron) to classify patients with normal (<5.7%) and elevated (≥5.7%) levels of HbA_1c. We also integrated current visit data with historical (longitudinal) data from previous visits. Explainable machine learning methods were used to interrogate the models and provide an understanding of the reasons behind the decisions made by the models. All models were trained and tested using a large data set from Saudi Arabia with 18,844 unique patient records.

Results

The machine learning models achieved promising results for predicting current HbA_1c elevation risk. When coupled with longitudinal data, the machine learning models outperformed the multiple logistic regression model used in the comparative study. The multilayer perceptron model achieved an accuracy of 83.22% for the area under receiver operating characteristic curve when used with historical data. All models showed a close level of agreement on the contribution of random blood sugar and age variables with and without longitudinal data.

Conclusions

This study shows that machine learning models can provide promising results for the task of predicting current HbA_1c levels (≥5.7% or less). Using patients’ longitudinal data improved the performance and affected the relative importance for the predictors used. The models showed results that are consistent with comparable studies.

HbA1c - A predictor of dyslipidemia in type 2 Diabetes Mellitus

OBJECTIVE

This study was aimed to determine the predictive value of HbA1c in detecting dyslipidemia in patients with Type-2 Diabetes Mellitus.

METHODS

A total of 142 consecutive patients of Type-2 diabetes mellitus were recruited in this study after informed consent. The study was conducted for 6 months from January 2019 - June 2019 in Creek General Hospital, Korangi, Creek, Karachi. Demographic data and detailed history was taken. A complete systemic examination was done for any complications or co-morbids present and related investigations were performed including Fasting lipid profile (CHO, TG's, HDL, LDL, CHO/HDL), serum HbA1c, Creatinine and ECG. Data is analyzed on SPSS 16 for mean, frequencies and correlations. Pearsons Chi square test is used for analyses of Correlation.

RESULTS

In a total of 142 Type-2 diabetic patients 39(27.5%) were Males and 103(72.5%) were females with a male to female ratio of 1: 2.6. Mean age was 54.9yrs ± 10.7SD. Mean duration of diabetes was 7.37yrs ±5.64 SD years. Mean BMI is 26.8 ± 3.67kg/m2. 27(19.01%) patients had HbA1c ≤ 7% whereas 115(80.9%) had >7%. 81(57.04%) patients had dyslipidemia. HbA1c exhibited direct correlations with BMI, cholesterol, TG's and LDL and inverse correlation with HDL with significant P value of <.05. TG's were found significantly higher in females when compared with male patients. In addition, Metabolic syndrome also showed a strong correlation with increasing HbA1c levels especially in female gender (P0.001).

CONCLUSION

The results of our study indicates that HbA1c can be used not only as a useful biomarker of long-term glycaemic control but also a good predictor of lipid profile.

Influence of education training in patients with type 2 diabetes in the improvement of lifestyle and biochemical characteristics: a randomized controlled trial

Objective

The objective of this randomized controlled trial study was to evaluate the education training in relation to lifestyle improvement in patients with type 2 diabetes through its influence in the levels of glycated hemoglobin (HbA1c), blood pressure, triglyceride, cholesterol levels, and body mass index (BMI).

Methods

The study included patients with type 2 diabetes randomly selected from 20 residential areas in Tirana, Albania where family physicians provide services. The sample size in total was 200 patients in both groups (control and intervention). The education training (four sessions) was conducted by trained nursing staff for 6 months. Patients were screened for the biochemical profile before and after the intervention. To compare the groups with respect to the interest outcomes, the t-test was used. The value of P < 0.05 was considered significant.

Results

There were 104 male patients and 96 female patients. The mean age was 54.9 ± 8.7. No significant differences were found between the study groups in relation to clinical and biochemical data before the education sessions. After the intervention, in the intervention group, the mean level of HbA1c was significantly lower than the value in the control group (6.2% vs 6.8%, P = 0.001) as well as for the mean values of BMI. The mean reduction (more than 15%) in HbA1c after the intervention was 43% in the intervention group and 2% in the control group (OR = 36.9, P < 0.05). Differences in BMI, HbA1c, triglycerides, and cholesterol were more significantly visible in the intervention group. However, the difference in systolic and diastolic blood pressure values was almost the same (P > 0.05).

Conclusions

The results of this study further support that the approach for education of patients with type 2 diabetes on changing lifestyle benefit the patient in controlling diabetes. It is believed that the establishment of diabetes education classes in health centers is an important investment in improving the management of type 2 diabetes.

Association between glycated hemoglobin (HbA1c) and the lipid profile in patients with type 2 diabetes mellitus at a tertiary care hospital: a retrospective study

BACKGROUND

To investigate the association between glycated hemoglobin (HbA1c) and the lipid profile in patients with type 2 diabetes mellitus (T2DM) at a tertiary care hospital in Jeddah, Saudi Arabia (SA).

METHODS

The present retrospective cross-sectional study was accomplished at the Faculty of Medicine, King Abdulaziz University (KAU), Jeddah, SA, between April and July 2018. There were 206 T2DM patients selected for the study (141 females and 65 males), and the data were collected through a review of the electronic profiles of patients by using the medical electronic file system used at the KAU Hospital. Biochemical data such as fasting plasma glucose (FPG), HbA1c and lipid profile, along with the patient's age, BMI and gender, were also taken from the electronic file system. The inclusion criteria allowed for only patients who were regularly seeing their physician and whose electronic file was up to date.

RESULTS

The participants' data were analyzed gender-wise. The females had significantly higher values for BMI (p=0.002), HbA1c (p=0.009), triglycerides (TGs) (p<0.001), high-density lipoprotein cholesterol (HDL-C) (p=0.002) and low-density lipoprotein cholesterol (LDL-C) (p<0.001) compared to the males. The study subjects were grouped according to their level of HbA1c (good glycemic index <7%, and poor glycemic index >7%). In both groups, no significant differences were found in any of the parameters other than TGs (p=0.020) and HbA1c (p<0.001). An analysis of the correlation between HbA1c and other parameters exhibited a significant correlation with TG (r=0.16, p=0.020), while no significant relationship was observed with the other variables. The linear regression results indicated that HbA1c values were associated with TGs (p=0.020) and were independent of age, BMI, TC, LDL-C, HDL-C and FPG levels.

CONCLUSION

The glycated Hb was associated with TGs, and no significant association was found with age, BMI, TC, LDL-C, HDL-C and FPG levels.

The salivary levels of leptin and interleukin-6 as potential inflammatory markers in children obesity

Background

Obesity among children is an alarming issue due to an increased incidence over the last years with devastating physiological and psychological consequences. Current available medical diagnostic tools use invasive methods to evaluate and monitor the lipid profile, glycaemia or liver status for determining the overweight/ obesity complications. The standard methods proposed for the assay of IL6 and leptin from saliva cannot detect these two biomarkers in children saliva; the levels of IL6 and leptin in children’s saliva are lower than the limit of determination of the standard methods. Therefore, we proposed a method based on utilization of stochastic sensors, able to simultaneously perform a qualitative and quantitative determination of these two biomarkers within minutes, in the range able to cover healthy and obese children.

Methods

Children from the urban area monitored for annual standard analyses and health status assessment at National Institute of Endocrinology C.I. Parhon within University of Medicine and Pharmacy “Carol Davila”, Bucharest, Romania were included in the study. In the same day, for all participants of the study, blood analyses were performed and saliva samples were collected for the determination of the IL-6 and leptin levels.

Findings/ Results

The children diagnosed with overweight/ obesity presented not significantly different blood lipid profile and glycaemia comparing to the control group. Only few cases of the children presented high levels of cholesterol, low level of HDL-cholesterol, a slightly increased level of triglycerides and transaminases. No correlation with the body mass index could be established with the blood analyses results. In case of the overweight/obese children, the salivary level of the proinflammatory citokynes IL-6 (41ng/mL±21) and leptin (40.4ng/mL±28.8), were significantly increased comparing to normal weight children (IL-6 8.1±4.6, leptin 9.58±3.1). Moreover, the saliva level of the IL-6 was positively correlated with the body mass index. Salivary leptin level was highly variable in case of obese children, 6 patients presenting similar levels with the control group.

Conclusions

Increased levels of salivary IL-6 and leptin sustain a systemic inflammation status despite normal range of standard blood analyses. The results were positively correlated in case of IL-6 with the body mass index the general accepted method used for the assessment of the obesity or overweight degree The determination of these markers in saliva samples by a stochastic method proved the utility within the medical examination for a better evaluation of the health status in obesity. The method has some advantages like: easy collection of the biological sample, fast determination of low concentrations and could be promising in case of no associated oral cavity infections or inflammations which could interfere the results.

Galangin, a dietary flavonoid, ameliorates hyperglycaemia and lipid abnormalities in rats with streptozotocin-induced hyperglycaemia

CONTEXT

Galangin, a natural flavonoid, is found in honey and Alpinia officinarum Hance (Zingiberaceae). Galangin has antiviral, antimicrobial, antidiabetic and anticancer properties, without side effects. The effects of galangin on hyperglycaemia and lipid abnormalities are not known.

OBJECTIVE

To elucidate the effectiveness of galangin on hyperglycaemia-associated complications and lipid changes in rats with streptozotocin (STZ)-induced hyperglycaemia.

MATERIALS AND METHODS

Diabetes was induced in adult Wistar rats by administering 40 mg/kg of STZ. In our previous study, galangin had no toxicity at concentrations up to 320 mg/kg. Therefore three doses of galangin (4, 8 or 16 mg/kg BW) or glibenclamide (600 µg/kg BW) were administered daily to diabetic rats orally for 45 days.

RESULTS

Diabetic rats showed a significant (p < 0.05) increased levels of plasma glucose (281.10 mg/dL) and decreased levels of insulin (6.01 μU/mL). Additionally, diabetic rats showed a significant (p < 0.05) increased levels of plasma lipid profiles such as total cholesterol (149.05 mg/dL), triglycerides (143.28 mg/dL), free fatty acids (139.37 mg/dL), phospholipids (127.53 mg/dL), plasma low-density lipoprotein-cholesterol (98.72 mg/dL), plasma very low-density lipoprotein-cholesterol (28.65 mg/dL), and significant (p < 0.05) decreased in plasma high-density lipoprotein-cholesterol (21.68 mg/dL). When galangin was administered to the hyperglycaemic rats, plasma glucose and insulin levels and lipid profiles reverted to levels similar to those in healthy control rats.

DISCUSSION AND CONCLUSIONS

Administration of galangin reduced hyperlipidaemia related to the risk of diabetic complications and could be beneficial for diabetic hyperlipidaemic patients. Further work detailing its mechanism-of-action for improving hyperglycaemic-associated lipid abnormalities is needed.