Complex association of serum alanine aminotransferase with the risk of future cardiovascular disease in type 2 diabetes

Nonalcoholic Fatty Liver Disease as a Potential Risk Factor for Cardiovascular Disease in Patients with Type 2 Diabetes: A Prospective Cohort Study

Methods and Results

In this prospective cohort study, 1197 patients with type 2 diabetes (T2D) were divided into two groups (360 patients with NAFLD and 847 without NAFLD) and were followed for a median of 5 years for the incidence of CVD. Cox regression analysis was used to assess the association between NAFLD, liver enzyme level, aspartate aminotransferase to platelet ratio index (APRI), and the incidence risk of CVD and its subgroups (i.e., myocardial infarction, chronic heart disease, coronary artery bypass grafting, and percutaneous coronary intervention). There was a significant positive association between CVD incidence and NAFLD (HR = 1.488, 95% CI = 1.041-2.124, p value = 0.029). Although patients with NAFLD had higher levels of ALT and AST levels (p value = <0.001), there was no significant association between liver enzymes and the incidence risk of CVD when adjusted for different variables. Furthermore, NAFLD was associated with NAFLD APRI Q (2), APRI Q (3), and APRIQ (4) (1.365 (1.046-1.781), 1.623 (1.234-2.135), and 3.373 (2.509-4.536)), respectively.

Conclusion

NAFLD increased the incidence risk of CVD in T2D. However, there was no association between liver enzymes (ALT, AST, ALK-P, and GGT) and a higher incidence risk of CVD in T2D when adjusted for confounding variables.

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D).

METHODS

We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies.

RESULTS

Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort.

CONCLUSIONS

Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis

Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. Results Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. Conclusions Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Evaluation of Machine Learning Methods Developed for Prediction of Diabetes Complications: A Systematic Review

BACKGROUND

With the rising prevalence of diabetes, machine learning (ML) models have been increasingly used for prediction of diabetes and its complications, due to their ability to handle large complex data sets. This study aims to evaluate the quality and performance of ML models developed to predict microvascular and macrovascular diabetes complications in an adult Type 2 diabetes population.

METHODS

A systematic review was conducted in MEDLINE®, Embase®, the Cochrane® Library, Web of Science®, and DBLP Computer Science Bibliography databases according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. Studies that developed or validated ML prediction models for microvascular or macrovascular complications in people with Type 2 diabetes were included. Prediction performance was evaluated using area under the receiver operating characteristic curve (AUC). An AUC >0.75 indicates clearly useful discrimination performance, while a positive mean relative AUC difference indicates better comparative model performance.

RESULTS

Of 13 606 articles screened, 32 studies comprising 87 ML models were included. Neural networks (n = 15) were the most frequently utilized. Age, duration of diabetes, and body mass index were common predictors in ML models. Across predicted outcomes, 36% of the models demonstrated clearly useful discrimination. Most ML models reported positive mean relative AUC compared with non-ML methods, with random forest showing the best overall performance for microvascular and macrovascular outcomes. Majority (n = 31) of studies had high risk of bias.

CONCLUSIONS

Random forest was found to have the overall best prediction performance. Current ML prediction models remain largely exploratory, and external validation studies are required before their clinical implementation.

PROTOCOL REGISTRATION

Open Science Framework (registration number: 10.17605/OSF.IO/UP49X).

Association of Circulating Trimethylamine-N Oxide With Malnutrition and the Risk of Coronary Artery Disease in Patients With Maintenance Hemodialysis

OBJECTIVES

Malnutrition is a serious complication frequently observed in dialysis patients. Therefore, nutrition status evaluation and the early identification of malnutrition are clinically important. Trimethylamine N-oxide (TMAO) is reportedly associated with deteriorating metabolic profiles and cardiovascular diseases. The aim of our study was to investigate correlations between circulating TMAO levels and malnutrition and the risk of major adverse cardiovascular events in patients on maintenance hemodialysis.

METHODS

This retrospective observational study involved 228 subjects. Fasting plasma TMAO levels were detected using liquid chromatography-tandem mass spectrometry.

RESULTS

TMAO levels were significantly elevated in patients with malnutrition (8728.78 ± 704.12 ng/mL) when compared with those without (6532.1 ± 570.41 ng/mL, P < .01). TMAO levels were positively correlated with Subjective Global Assessment scores (ρ = 0.56, P = .02) and were independent risk factors for malnutrition after adjustment for multiple traditional risk factors (odds ratio = 2.07, 95% confidence interval: 1.41-3.62, P < .01). Furthermore, TMAO levels were good predictors of major adverse cardiovascular events in a 2-year follow-up period (area under the curve = 0.68, P < .01) and accuracy was increased to 74% when TMAO levels were combined with Subjective Global Assessment scores (area under the curve = 0.74, P = .02).

CONCLUSIONS

Elevated TMAO levels were independently associated with a risk of malnutrition and cardiovascular disease, and could be a useful predictive biomarker for risk stratification and cardiovascular disease management for patients on dialysis.

Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China

Purpose

The prevalence of cardiovascular diseases (CVDs) associated with lipid levels is increasing worldwide. Our purpose is to analyze the distribution level and influencing factors of lipid in the whole population and to put forward suggestions for preventing abnormal lipid levels.

Methods

The study was based on a sample of 91,480 Chinese who participated in a nationwide physical examination program in Wuhan, a midland city in China, in 2018. The distribution of blood lipid in the population was observed using average, and the relationship between the influencing factors and blood lipid level was observed by quantile regression (QR).

Results

A total of 91,480 people were evaluated in this study, among which 59,165 (64.68%) were female with a mean age of 51.71 ± 10.82 years. QR results showed that different physical examination indexes had different effects on lipid levels. Fasting plasma glucose (FBG) has the largest QR coefficient and BMI had positive effects on total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C). In males, age has a positive influence on TC, LDL-C, and high-density lipoprotein cholesterol (HDL-C), while in females, age has a positive influence on all four indexes.

Conclusion

We found that the TC and LDL-C levels of females were more susceptible to age than males, and the lipid levels of older females were higher than males. BMI has a greater effect on lipid levels in males than in females. Regardless of gender should pay attention to dyslipidemia caused by diabetes and abnormal liver function.

Effect of a mixture of pyrethroids at doses similar to human exposure through food in the Indian context

Residual amounts of pyrethroids were detected in rice and vegetables of the Indian market. Thus, consumers are exposed to a mixture of pyrethroids on a daily basis through food. Though a large number of studies reported the toxic effects of pyrethroids, there are no reports that used doses equivalent to human consumption. In this study, male Wistar rats were exposed daily to a mixture of pyrethroids for 1-15 months which is equivalent to the amount present in rice and vegetables consumed by an average Indian each day. The oxidant-antioxidant status (lipid peroxidation, nitric oxide; activities of catalase, glutathione peroxidase, glutathione S transferase, and superoxide dismutase) and anatomical changes in the general organs (liver, lung, and kidney) and male reproductive tract tissues (caput, cauda, testis, and prostate) were evaluated. Further, liver and kidney function tests, lipid profile, and complete blood picture were analyzed. Increased oxidative stress, perturbations in the antioxidant enzyme activities, and damage to the anatomical architecture were observed. Disturbances in the liver function and lipid profile were significant. Results of our study demonstrate that exposure to a mixture of pyrethroids at a dose that is equivalent to human consumption can cause systemic and reproductive toxicity, which may ultimately result in the development of lifestyle diseases. This first line of evidence will fuel further studies to determine the impact of food-based pyrethroid exposure on the long-term health of humans and to envisage policies to reduce pesticide content in food products.

Association between plasma betaine levels and dysglycemia in patients with coronary artery disease

Background: Dietary betaine intake was reported to associate with favorable profile of metabolic disorders. However, the role of circulating betaine in coronary artery disease (CAD) patients with dysglycemia is still unknown. The present study aimed to investigate the potential associations between plasma betaine levels and dysglycemia in CAD patients.

Methods: Total 307 subjects were enrolled in the present study with 165 CAD patients (57 with dysglycemia and 108 with normal glycemia) and 142 age- and sex-matched controls (CON). Fasting plasma betaine was detected using liquid chromatography tandem mass spectrometry.

Results: Plasma betaine was lower in normal glycemia CAD patients (28.29 (22.38–35.73) μM) compared with healthy controls (29.75 (25.32–39.15) μM), and was further decreased in CAD patients with dysglycemia (24.14 (20.84–30.76) μM, P<0.01). Betaine levels were inversely correlated with fasting glucose, glycated hemoglobin% (HbA1c), diastolic blood pressure (DBP), triglyceride (TG) and alanine aminotransferase (ALT) levels (all, P≤0.05). Subjects in the highest betaine tertile group had lowest frequency of CAD and dysglycemia (all, P<0.01). Increased betaine levels were independently associated with low risk of dysglycemia in CAD after adjustment for multiple traditional risk factors (OR = 0.04, 95% CI: 0–0.37, P=0.01). Furthermore, betaine had good performance at distinguishing CAD with dysglycemia from normal glycemia CAD (AUC = 0.62, P<0.01).

Conclusion: Plasma betaine levels are independently and inversely associated with dysglycemia in CAD after adjustment for multiple factors, and may be useful for risk stratification of dysglycemia in CAD.

Serum alanine aminotransferase activity and risk factors for cardiovascular disease in a Caucasian population: the Tromsø study

Background

High and low levels of serum alanine aminotransferase (ALT) are both associated with cardiovascular diseases (CVD) risks especially in elderly, but the mechanisms are less known. This study investigated associations between ALT and CVD risk factors including effects of sex and age in a Caucasian population.

Methods

Cross-sectional data were analysed sex-stratified in 2555 men (mean age 60.4 years) and 2858 women (mean age 60.0 years) from the population study Tromsø 6. Associations were assessed by variance analysis and multivariable logistic regression of odds to have abnormal ALT. Risk factors included body mass index (BMI), waist-to-hip-ratio, blood pressure, lipids, glucose, glycated haemoglobin and high-sensitive C-reactive protein (CRP).

Results

Abnormal elevated ALT was detected in 113 men (4.4%) and 188 women (6.6%). Most CVD risk factors associated positively with ALT in both sexes except systolic blood pressure and CRP (women only), while ALT was positively associated with age in men when adjusted for CVD risk factors, P < 0.001. BMI predicted ALT in men (OR 0.94; 95% CI 0.88–1.00, P = 0.047) and women (OR 0.90; 95% CI 0.86–0.95, P < 0.001). A linear inversed association between age and ALT in men and a non-linear inversed U-trend in women with maximum level between 60 and 64 years were found.

Conclusion

This study confirms a positive relationship between ALT and CVD risk factors, particularly BMI. Age is not a major confounder in the ALT-CVD relationship, but separate sex-analyses is recommended in such studies.

The Association between Trimethylamine N-Oxide and Its Predecessors Choline, L-Carnitine, and Betaine with Coronary Artery Disease and Artery Stenosis

Background

Trimethylamine N-oxide (TMAO) and its predecessor products, choline, L-carnitine, and betaine, were reported to be associated with cardiovascular events risk. However, the association of TMAO and its predecessors with extent of artery stenosis in coronary artery disease (CAD) and in different gender is still unknown. Our aim is to investigate the association of plasma TMAO and its predecessors in CAD and extent of artery lesion in different gender.

Methods

94 CAD patients and 75 healthy controls (CON) were enrolled. Fasting plasma TMAO, choline, L-carnitine, and betaine were detected using liquid chromatography-tandem mass spectrometry.

Results

Elevated plasma TMAO but not choline, L-carnitine, or betaine was observed in CAD (1.46(0.8–2.32) μM) and severe artery stenosis patients (S) (1.62(0.91–2.81) μM) compared with controls and mild artery stenosis (M) (1.18(0.67–1.7) μM in CON; 1.27(0.77–1.82) μM in M, p < 0.05). TMAO was an independent risk factor of CAD and severe artery stenosis (CAD : OR = 1.81, 95%CI: 1.07–3.09, p=0.03; S : OR = 1.36, 95%CI: 1.01–1.84, p=0.04). TMAO was more sensitive in diagnosing CAD and severe artery stenosis from controls in men rather than in women by ROC analysis (AUC for men and women in CAD: 0.64 versus 0.57; AUC for men and women in S: 0.64 versus 0.58), while the combined four metabolites greatly improved diagnostic accuracy in women with CAD and severe artery stenosis (AUC in CAD: 0.64, AUC in S: 0.68).

Conclusion

The associations of TMAO with CAD and severe artery stenosis were sex-related. TMAO alone was more powerful in determining CAD and artery stenosis in men than women, while a combination of TMAO, choline, L-carnitine, and betaine could be potential biomarkers for diagnosing CAD and artery stenosis in both men and women.

Olanzapine-induced liver injury in mice: aggravation by high-fat diet and protection with sulforaphane

Olanzapine is effective to treat for schizophrenia and other mood disorders, but limited by side effects such as weight gain, dyslipidemia, and liver injury. Obesity in the US is at epidemic levels, and is a significant risk factor for drug-induced liver injury. Obesity incidence in the psychiatric population is even higher than in the US population as a whole. The purpose of this study was to test the hypothesis that obesity worsens olanzapine-induced hepatic injury, and to investigate the potential protective effects of sulforaphane. 8-week old female C57BL/6 mice were fed either a high-fat or low-fat control diet (HFD and LFD). Mice also received either olanzapine (8 mg/kg/d) or vehicle by osmotic minipump for 4 weeks. A subset of mice in the HFD + olanzapine group was administered sulforaphane, a prototypical Nrf2 inducer (90 mg/kg/d). Olanzapine alone increased body weight, without a commensurate increase in food consumption. Olanzapine also caused hepatic steatosis and injury. Combining olanzapine and HFD caused further dysregulation of glucose and lipid metabolism. Liver damage from concurrent HFD and olanzapine was worse than liver damage from high-fat diet or olanzapine alone. Sulforaphane alleviated many metabolic side effects of olanzapine and HFD. Taken together, these data show that olanzapine dysregulates glucose and lipid metabolism and exacerbates hepatic changes caused by eating a HFD. Activation of the intrinsic antioxidant defense pathway with sulforaphane can partially prevent these effects of olanzapine and may represent a useful strategy to protect against liver injury.

Association of non-alcoholic fatty liver disease with microvascular complications of type 2 diabetes

INTRODUCTION

Non-alcoholic fatty liver disease (NAFLD) affects risks of type 2 diabetes (T2D), diabetes-related complications, and cardiovascular disease in a complex manner. This study is designed to clarify associations of sonographically-detected NAFLD and serum liver enzymes with diabetes-related microvascular complications.

METHODS

A matched case-contorl study was designed for 440 patients with T2D and at least one of the chronic diabetes-related microvascular complications and 495 age- and gender-matched control patients with T2D.

RESULTS

Considering pre-existing and newly developed chronic microvascular complications, diabetic peripheral neuropathy was found in 347 out of 935 (37.1%) study patients, diabetic retinopathy in 141/935 (15.1%), and diabetic nephropathy in 103/935 (11.0%). Diagnosis of diabetic retinopathy and diabetic nephropathy were inversely associated with the presence of NAFLD in the crude logistic regressions (OR [95% CI] = 0.18 [0.05-0.63], p value = 0.007; OR [95% CI] = 0.17 [0.04-0.59], p value = 0.011, respectively). The subgroup of NAFLD with elevated liver enzymes had lower odds of having diabetic peripheral neuropathy in the fully adjusted model (OR [95% CI] = 0.34 [0.12-0.98], p value = 0.048).

CONCLUSION

Diagnosis of NAFLD with or without elevated serum liver enzymes was inversely correlated with certain chronic diabetes microvascular complications. Possible explanations for this counter-intuitive and unexpected finding are discussed and center on reverse-causality, wherein sicker patients may develop beneficial compensatory physiological and behavioral adaptations. Diversity of studied patients, in particular with regards to the ethnic and racial differences among the Western and Asian populations may also partly account for contrasting findings of the relationship between NAFLD and microvascular complications of diabetes.

Alanine Aminotransferase and Body Composition in Obese Men and Women

There is a known relationship between serum alanine aminotransferase (ALT) and obesity in humans, but the mechanism(s) are not clarified. This study investigated the associations between serum ALT and body composition in an overweight and obese population. The results are based on data from a previous randomized controlled trial treating obesity with vitamin D₃. A sample of 448 overweight and obese individuals underwent dual-energy X-ray absorptiometry (DEXA) and measured serum ALT along with supplementary blood samples at study baseline. Body fat mass and lean mass indexes were calculated by dividing total body fat/lean weight (kg) by body height squared (kg/m²). ALT correlated with body mass index (BMI) in men but not women (r = 0.33, P < 0.0001 vs. r = 0.06, P = 0.29). In men, serum ALT correlated positively with fat mass index (r = 0.23, P = 0.004) and lean mass index (r = 0.32, P < 0.0001). In women, ALT correlated with lean mass index (r = 0.13, P = 0.031) but not fat mass index (r = 0.003, P = 0.96). In a multivariate model adjusted for age and fat mass index, a 1-unit increase in lean mass index associated with a 0.37 U/L higher ALT in the male subgroup (95% CI 0.024 to 0.040, P < 0.0001). In conclusion, serum ALT was associated with body fat mass index in men and with lean mass index in men and women in an overweight and obese population. The findings also demonstrate a gender difference in the role of fat.

Does nonalcoholic fatty liver disease cause cardiovascular disease? Current knowledge and gaps

Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and includes a spectrum of abnormalities ranging from steatosis to cirrhosis. In this review, we address recent evidence and limitations of studies that evaluated the association of NAFLD with atherosclerotic cardiovascular disease. NAFLD is considered an ectopic fat deposit associated with metabolic (insulin resistance, hyperglycemia and dyslipidemia), inflammatory, coagulation and blood pressure disturbances. Prospective studies have associated NAFLD presence and severity, particularly steatohepatitis and fibrosis, with an increased risk of cardiovascular disease. However, these studies are limited by heterogeneity concerning NAFLD diagnostic criteria and disease severity stratification, as well as by the presence of confounding factors. In addition, genetic variants predisposing to NAFLD, such as the PNPLA3 I148M mutation, were not consistently associated with an increased risk of cardiovascular events. Therefore, currently, it is not possible to prove a causal relation between NAFLD and cardiovascular disease. Furthermore, there is presently no evidence that NAFLD diagnosis can be used as a tool to improve cardiovascular risk stratification and modify treatment. Specific treatments for NAFLD are being developed and must be tested prospectively in adequately designed trials to determine the potential of reducing both hepatic and cardiovascular diseases and to prove whether NAFLD is indeed a cause of atherosclerosis.

Associations of Serum S100B and S100P With the Presence and Classification of Diabetic Peripheral Neuropathy in Adults With Type 2 Diabetes: A Case-Cohort Study

OBJECTIVES

Novel biomarkers of diabetic peripheral neuropathy provide potentially useful information for early identification and treatment of diabetic neuropathy, ultimately serving to reduce the burden of disease. This study was designed to investigate the potential associations of serum S100B and S100P (calcium-modulated proteins) with the presence and classification of diabetic peripheral neuropathy in adults with type 2 diabetes.

METHODS

In a case-cohort setting, the data of 44 participants diagnosed with diabetic peripheral neuropathy, 44 control participants with type 2 diabetes but free of peripheral neuropathy and 87 healthy control individuals were collected and analyzed.

RESULTS

Serum S100P concentrations were elevated in participants with diabetic peripheral neuropathy compared with their controls with type 2 diabetes (median [IQR]: 2,235 pg/mL [1,497.5 to 2,680] vs. 1,200 pg/mL [975 to 1,350)], respectively; p<0.001). Conversely, serum S100B values were comparable in these 2 groups (p=0.570). Those with the typical diabetic peripheral neuropathy had significantly higher serum S100P levels compared to their counterparts with the atypical group of diabetic peripheral neuropathies (p=0.048). The independent significant association between serum S100P and diabetic peripheral neuropathy persisted into the multivariable adjusted logistic regression model (OR for S100P: 1.004 [95% CI 1.002 to 1.006]; p<0.001).

CONCLUSIONS

The present study's findings demonstrated that serum S100P is a more significant indicator of peripheral neuropathy in type 2 diabetes than is serum S100B. Prospective longitudinal studies are required to confirm the prognostic value of baseline serum S100P to predict incident peripheral neuropathy in people with diabetes.

Baseline High-Sensitivity C-Reactive Protein Predicts Macrovascular and Microvascular Complications of Type 2 Diabetes: A Population-Based Study

BACKGROUND/AIMS

This prospective study is aimed at examining the predictive value of high-sensitivity C-reactive protein (hs-CRP) for coronary heart disease (CHD) events and microvascular complications of type 2 diabetes mellitus (T2DM).

METHODS

A population-based study (NCT02958579) was conducted on 1,301 participants with T2DM (mean follow-up of 7.5 years). Risk assessment for vascular events was done at baseline, and serum hs-CRP was measured. End points of this study include CHD events, diabetic retinopathy, neuropathy, and diabetic kidney disease. Individuals with unavailable data or hs-CRP >20 mg/L were excluded. The discrimination and reclassification improvement of study end points were tested after addition of hs-CRP to traditional risk factors.

RESULTS

Median serum hs-CRP was 2.00 ranging from 0.1 to 17 mg/L. Hazards ratio of each SD increment in baseline hs-CRP was 1.028 (1.024-1.032) for CHD, 1.025 (1.021-1.029) for diabetic neuropathy, 1.037 (1.030-1.043) for diabetic retinopathy, and 1.035 (1.027-1.043) for diabetic kidney disease. The addition of hs-CRP to traditional risk factors of vascular complications of T2DM improved discrimination of all end points (p < 0.001). Net reclassification improvement ranged from 8% for diabetic neuropathy to 31% for diabetic kidney disease (p < 0.05).

CONCLUSION

Baseline hs-CRP predicts both of CHD events and microvascular complications of patients with T2D.

National Prevalence of Self-Reported Coronary Heart Disease and Chronic Stable Angina Pectoris: Factor Analysis of the Underlying Cardiometabolic Risk Factors in the SuRFNCD-2011

BACKGROUND

Coronary heart disease (CHD) is one of the most common causes of mortality worldwide. The national prevalence remains unclear in most of the developing countries.

OBJECTIVE

This study sought to estimate national prevalence of self-reported CHD and chronic stable angina pectoris in the general adult population of Iran using data from the fourth round of the Surveillance of Risk Factors of Non-Communicable Diseases (SuRFNCD-2011) survey.

METHODS

The analysis comprised data of 11,867 civilian, nonhospitalized and noninstitutionalized residents ages 6 to 70 years of age. The calculated prevalence of self-reported CHD and chronic stable angina pectoris were extrapolated to the Iranian adult population who were >20 years old using the complex sample analysis. The factor analysis was performed for clustering of the associated cardiometabolic risk factors among people ages >40 years of age.

RESULTS

The estimated national prevalence of self-reported CHD and chronic stable angina pectoris were 5.3% (95% confidence interval: 4.6 to 5.9) and 7.7% (95% confidence interval: 4.6 to 8.7), respectively. Higher prevalence of these conditions were observed among the older people, urban residents, and women. Factor analysis generated 4 distinct factors that were mainly indicators of dyslipidemia, hypertension, central obesity, hyperglycemia, and tobacco smoking. The factor incorporating hypertension was a significant correlate of self-reported CHD.

CONCLUSIONS

We report concerning prevalence of self-reported CHD and chronic stable angina pectoris in the adult population of Iran. The constellation of raised systolic and diastolic blood pressures was significantly predictive of the presence of self-reported CHD.

Conflicting interactions of apolipoprotein A and high density lipoprotein cholesterol with microvascular complications of type 2 diabetes

AIMS

This study is amid at investigating the associations, and interactions of serum lipid biomarkers with microvascular complications of type 2 diabetes (T2D).

METHODS

A nested case-control study was conducted within an ongoing prospective study on patients with T2D. Microvascular complications of T2D including diabetic neuropathy, diabetic retinopathy and diabetic nephropathy were investigated. A total of 444 cases with at least one of the microvascular complications of T2D and 439 age- and gender-matched controls free of any of the chronic microvascular complications of T2D were included. The associations and interactions of a panel of serum lipid biomarkers with the microvascular complications of T2D were investigated.

RESULTS

Serum triglyceride had the strongest association with microvascular complications of T2D (crude model: β=0.632, P value=0.045). Each standard deviation increment in serum TG was associated with 3.7 times increased frequency of microvascular complications. Despite high density lipoprotein cholesterol (HDL-C), serum apolipoprotein A1 (Apo A1) was positively associated with the presence of diabetic neuropathy. Each standard deviation increment in serum ApoA1 was associated with increased frequency of diabetic neuropathy (OR, 1.2, 95% CI, (1.1-1.3), P value=0.006). The frequency of diabetic neuropathy was higher in 2nd and 3rd quartiles of serum Lp(a) compared to diabetic patients in the first quartile (OR, 5.52, 95% (1.17-25.8), P value=0.047).

CONCLUSIONS

ApoA1 but not HDL-C is straightly associated with diabetic neuropathy. Even Slight rise in serum Lp(a) is associated with increased frequency of diabetic retinopathLipid variables could serve as specific predictors of vascular complications in diabetes.

Diabetes in Iran: Prospective Analysis from First Nationwide Diabetes Report of National Program for Prevention and Control of Diabetes (NPPCD-2016)

We estimated proportions of different types of diabetes, comorbidities, treatment (the use of oral glucose-lowering agents and insulin), control (hyperglycemia, dyslipidemia and hypertension) and chronic microvascular and macrovascular complications among people with diabetes presenting to the tertiary-care academic diabetes outpatient clinics in Iran. This study is the prospective analysis of data (n = 30,202) from the registry of university-affiliated adult outpatient diabetes clinics in the country during 2015-2016. The proportions of type 1 diabetes, types 2 diabetes, and other types of diabetes were 11.4%, 85.5%, and 1.3%, respectively. The frequencies of drug-naivety, use of oral agents, insulin monotherapy and insulin combination therapy were 2.9%, 60.5%, 11.5%, and 25.1%, respectively. Around 13.2%, 11.9% and 43.3% of patients with diabetes had controlled hyperglycemia, hyperlipidemia and hypertension, respectively. The proportions of retinopathy, nephropathy, peripheral neuropathy, diabetic foot, and ischemic heart disease were 21.9%, 17.6%, 28.0%, 6.2%, and 23.9%, respectively. Despite the wide availability of medications and insulin coverage in Iran, the estimated national control of hyperglycemia, hyperlipidemia and hypertension (especially for young men and old women) remains subpar. The present study further suggests that the frequencies of chronic vascular complications among patients with diabetes are relatively high in Iran.

Inhibition of liver alanine aminotransferase and aspartate aminotransferase by hesperidin and its aglycone hesperetin: An in vitro and in silico study

AIMS

This study aimed to investigate the inhibitory effects of two natural flavonoids, hesperetin (HT) and hesperidin (HD), on two gluconeogenesis enzymes, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities and their possible mechanisms of action.

MAIN METHODS

Rat liver incubated with different concentrations of HT and HD was used to measure enzyme activities spectrophotometrically, based on monitoring the oxidation of NADH to NAD⁺ at 340nm. Molecular docking simulation was also applied to reveal the molecular mechanism of the inhibition caused by HT and HD.

KEY FINDINGS

Both flavonoids demonstrated inhibitory effects against the enzyme activities, with IC₅₀ values of 153.9 and 68.88μM for HT-ALT and HD-ALT treatment respectively. Likewise, the IC₅₀ values of 85.29μM for HT-AST and 110.3μM for HD-AST were obtained from spectrophotometric results.

CONCLUSION

The docking simulation revealed that HT and HD block the enzyme entrance channel and prevent the substrates from accessing the enzyme active sites. Having prevented production of pyruvate, α-ketoglutarate, and the oxaloacetate, these two compounds inhibit hepatic gluconeogenesis and consequently, hinder the progression of diabetes.

SIGNIFICANCE

This study suggests that HT and HD may be considered as leading compounds for designing safe and effective drugs in management of increased ALT and AST-related disorders specially diabetes.

Association of peripheral nesfatin-1 with early stage diabetic nephropathy

BACKGROUND

Nesfatin-1 is a newly found anorectic neuropeptide with potent metabolic regulatory effects that its circulating levels are shown to be elevated in diabetes. We compared serum nesfatin-1 in patients with type 2 diabetes and microalbuminuria (30mg/day≤urinary albumin excretion (UAE) <300mg/day) with their control patients with type 2 diabetes and normoalbuminuria (UAE <30mg/day).

PATIENTS AND METHODS

In a cross sectional setting, 44 adult patients with type 2 diabetes and microalbuminuria and 44 control patients with type 2 diabetes and normoalbuminuria were evaluated. Serum levels of nesfatin-1 along with demographic, clinical and biochemical factors associated with diabetes was measured.

RESULTS

Mean peripheral concentrations of nesfatin-1 were significantly higher in patients with diabetes who had microalbuminuria compared to normoalbuminuric control patients (175.27±25.96pg/ml vs. 134.66±23.18pg/ml, respectively; p value<0.001). Significant positive correlations were found between circulating nesfatin-1 levels and the following case-mix variables: duration of diabetes, glycated hemoglobin, plasma creatinine, UAE and serum uric acid. In the multivariate logistic regression and after adjustment for a constellation of potentially confounding variables associated with diabetic kidney disease (DKD), circulating nesfatin-1 was the only variable significantly associated with microalbuminuria (odds ratio [95% confidence interval]=1.224 [1.007-1.487], p value=0.042).

CONCLUSION

In patients with type 2 diabetes, circulating nesfatin-1 appears to be associated with microalbuminuria independent of other established risk factors of DKD. The underlying pathophysiological mechanisms and the prognostic significance of this association remain to be elucidated.