Lipid levels in obese and nonobese subjects as predictors of fasting and postload glucose metabolism

Development and validation of a machine learning-based model to predict isolated post-challenge hyperglycemia in middle-aged and elder adults: Analysis from a multicentric study

INTRODUCTION

Due to the high cost and complexity, the oral glucose tolerance test is not adopted as the screening method for identifying diabetes patients, which leads to the misdiagnosis of patients with isolated post-challenge hyperglycemia (IPH), that is., patients with normal fasting plasma glucose (<7.0 mmoL/L) and abnormal 2-h postprandial blood glucose (≥11.1 mmoL/L). We aimed to develop a model to differentiate individuals with IPH from the normal population.

METHODS

Data from 54301 eligible participants were obtained from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a longitudinal (REACTION) study in China. Data from 37740 participants were used to develop the diagnostic system. External validation was performed among 16561 participants. Three machine learning algorithms were used to create the predictive models, which were further evaluated by various classification algorithms to establish the best predictive model.

RESULTS

Ten features were selected to develop an IPH diagnosis system (IPHDS) based on an artificial neural network. In external validation, the AUC of the IPHDS was 0.823 (95% CI 0.811-0.836), which was significantly higher than the AUC of the Taiwan model [0.799 (0.786-0.813)] and that of the Chinese Diabetes Risk Score model [0.648 (0.635-0.662)]. The IPHDS model had a sensitivity of 75.6% and a specificity of 74.6%. This model outperformed the Taiwan and CDRS models in subgroup analyses. An online site with instant predictions was deployed at https://app-iphds-e1fc405c8a69.herokuapp.com/.

CONCLUSIONS

The proposed IPHDS could be a convenient and user-friendly screening tool for diabetes during health examinations in a large general population.

Association between serum lipid profile during the first and second trimester of pregnancy as well as their dynamic changes and gestational diabetes mellitus in twin pregnancies: a retrospective cohort study

BACKGROUND

Abnormal lipid metabolism is associated with gestational diabetes mellitus (GDM) in singleton pregnancies. Data were lacking on twin pregnancies with GDM. We explored the association between serum lipid profiles in the first and second trimesters as well as their dynamic changes and GDM in twin pregnancies.

METHODS

This was a retrospective cohort study of 2739 twin pregnancies that underwent a 75-g oral glucose tolerance test (OGTT) and were selected from the Beijing Birth Cohort Study from June 2013 to May 2021. Cholesterol (CHO), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels were measured at mean 9 and 25 weeks of gestation. We described maternal lipid levels in different tertiles that were associated with the risk of GDM stratified for age, pre-BMI, and fertilization type. GDM patients were divided into two groups according to OGTT: elevated fasting plasma glucose only (FPG group) and the rest of the GDM (non-FPG group). We estimated the relative risk of GDM with multivariable logistic regression models.

RESULTS

In this study, we found that 599 (21.9%, 599/2739) twin pregnancies developed GDM. They had increased CHO, TG, LDL, and LDL/HDL, decreased HDL levels in the first trimester, and increased TG as well as decreased HDL in the second trimester in univariate analyses, each P < 0.05. In multivariate analysis, when TG > 1.67 mmol/l (upper tertile) in elderly individuals, nonoverweight and ART groups increased the risk of GDM by 2.7-fold, 2.3-fold and 2.2-fold, respectively, compared with TG < 0.96 mmol/l (lower tertile). This effect remained in the abovementioned groups in the second trimester. Moreover, high TGs increased the risk of GDM in the FPG group (OR = 2.076, 95% CI 1.130-3.815) and non-FPG group (OR = 2.526, 95% CI 1.739-3.67) in the first trimester when TG > 1.67 mmol/l, and the rising risk in the non-FPG group as the TG tertile increased remained in the second trimester. HDL predominantly showed a negative association with elevated FPG in the second trimester (p < 0.05).

CONCLUSIONS

Twin pregnancies with GDM have higher lipid levels. Increased TGs in the first and second trimesters are strongly associated with GDM, especially in elderly individuals, nonoverweight and ART groups. Lipid profiles varied among different GDM subtypes.

Triglycerides and total cholesterol concentrations in association with IFG/IGT in Chinese adults in Qingdao, China

BACKGROUND

To investigative the association of triglycerides (TG) and total cholesterol (TC) concentrations with impaired fasting glucose/ impaired glucose tolerance (IFG/IGT) in Chinese adults.

METHODS

The population-based cross-sectional diabetes survey was conducted in 2006 and 2009 in Qingdao, separately. 4400 participants (1 793 men and 2607 women) were include in current analysis. IFG/IGT was defined according to fasting plasma glucose (FPG) and/or 2 h post-load plasma glucose (2 h PG). Logistic regression models and areas under receiver operating characteristic curves (AUROC) were performed to estimate the associations between TG, TC levels and IFG/IGT.

RESULTS

Spearman analysis showed that serum TG and TC was independently and positively associated with FPG and 2 h PG. As compared with normoglycaemia, the odds ratio[(95% confidence intervals), OR(95%CI)] for IFG/IGT corresponding to hypertriglyceridemia (HTG) were 1.61 (1. 17, 2. 22) in men and 1.57(1.15, 2.14) in women for TG and accompany with Hypercholesterolemia (HTC) 1.56 (1.15, 2.13) and 1. 20 (0.93, 1.54) for TC, when adjusting for confounding factor. The AUROCs of TG, TC for IFG/IGT were relatively smaller (0.50 < AUROC< 0. 7) in both gender. The optimal cut-offs for TG and TC was 1.61, 4.91 in men and 1. 24, 5. 32 in women, respectively.

CONCLUSIONS

Evaluated TG in both gender and TC in men were independently associated with the present of the IFG/IGT, yet, could not be an authentic predictors of IFG/IGT in both men and women in current Chinese population.

Association of breastfeeding duration with dyslipidemia in women aged over 20 years: Korea National Health and Nutrition Examination Survey 2010-2014

BACKGROUND

The prevalence of dyslipidemia, particularly hypercholesterolemia, has been reported to increase after pregnancy and menopause in Korea. This suggests the importance of the management of dyslipidemia in women for preventing cardiovascular diseases.

OBJECTIVE

This study aimed to examine the association of breastfeeding with 5 subtypes of dyslipidemia in Korean women aged over 20 years, by using the nationally representative Korea National Health and Nutrition Examination Survey 2010-2014.

METHODS

Ordinary least square regression and ordered logistic regression analyses were used to determine the association between breastfeeding duration and dyslipidemia.

RESULTS

The likelihood of having low-density lipoprotein cholesterol (LDL-C) disorder decreased by 16% in the group that breastfed for more than 24 months (odds ratio, 0.84; 95% confidence interval, 0.75-0.95) compared with the group that did not breastfeed. The likelihood of having non-high-density lipoprotein cholesterol (non-HDL-C) disorder was significantly reduced by 25% when the breastfeeding duration was more than 24 months (odds ratio, 0.75; 95% confidence interval, 0.64-0.87). The tendency toward developing disorders of total cholesterol (TC), LDL-C, and non-HDL-C decreased as the duration of breastfeeding increased, particularly among women aged 30-39 years.

CONCLUSION

Breastfeeding duration was negatively correlated with dyslipidemia in terms of TC, LDL-C, non-HDL-C, and triglycerides. Long-term breastfeeding was associated with the prevalence of dyslipidemia-TC, LDL-C, non-HDL-C, and TG disorders, in particular.

The association of triglycerides and total cholesterol concentrations with newly diagnosed diabetes in adults in China

BACKGROUND

It has already been suggested that high abnormal blood lipid concentration is associated with hyperglycaemia. However, no data is available about the roles of triglycerides (TG) and total cholesterol (TC) levels in diabetes. Here, for the first time we investigated the roles of TG and TC levels, gender and abdominal fat in the development of newly diagnosed diabetes in China.

MATERIALS AND METHODS

Two population-based cross-sectional surveys were conducted from 2006 to 2009 in Qingdao, China. Newly diagnosed diabetes was defined according to FPG and/or 2 h PG criteria. The associations between diabetes and TG, and TC levels were assessed by multi-variable logistic regression models.

RESULTS

As compared with non-diabetes, the odds ratio[(95% confidence intervals), OR(95% CI)] for diabetes corresponding to hypertriglyceridemia (HTG) were 1.54 (1.01, 2.35) in men and 2.02 (1.49, 3.10) in women for TG and accompany with Hypercholesterolemia (HTC) 2.93 (1.97, 4.37) and 2.13 (1.49, 3.05) for TC, when both were fitted simultaneously in the model adjusting for age, geographic division, marital status, school years, family history of diabetes, monthly income, systolic blood pressure (SBP), diastolic blood pressure (DBP), waist circumference (WC), high density lipoprotein cholesterol (HDL-C), alanine amino transferase (ALT) and gamma-glutamyltransferase (GGT).

CONCLUSIONS

HTG in both gender, borderline high TC and HTC in men were an independent risk factor for diabetes in this Chinese population, however, HTC was mediated through abdominal fat for diabetes in women. Our findings may help to enhance the current knowledge of diabetes patho-physiology, and the associations between TG, TC level and diabetes is also clinically informative.

Normal weight dyslipidemia: Is it all about the liver?

OBJECTIVE

The liver coordinates lipid metabolism and may play a vital role in the development of dyslipidemia, even in the absence of obesity. Normal weight dyslipidemia (NWD) and patients with nonalcoholic fatty liver disease (NAFLD) who do not have obesity constitute a unique subset of individuals characterized by dyslipidemia and metabolic deterioration. This review examined the available literature on the role of the liver in dyslipidemia and the metabolic characteristics of patients with NAFLD who do not have obesity.

METHODS

PubMed was searched using the following keywords: nonobese, dyslipidemia, NAFLD, NWD, liver, and metabolically obese/unhealthy normal weight. Additionally, article bibliographies were screened, and relevant citations were retrieved. Studies were excluded if they had not measured relevant biomarkers of dyslipidemia.

RESULTS

NWD and NAFLD without obesity share a similar abnormal metabolic profile. When compared with patients with NAFLD who have obesity, the metabolic abnormalities of NAFLD without obesity are similar or less severe. Furthermore, hepatic lesions develop independent of obesity, and the extent of dyslipidemia seems comparable.

CONCLUSIONS

NAFLD may impair hepatic lipid handling, causing faulty lipid homeostasis, and serves as a likely starting point for initiation and propagation of dyslipidemia along with associated comorbidities in patients without obesity.

Different distribution of phenotypes and glucose tolerance categories associated with two alternative proposed cutoffs of insulin resistance

We investigated whether two alternative HOMA-IR thresholds recently proposed identify similar phenotype and have the same impact on gluco-metabolic risk. The two IR cutoffs, IR1 and IR2 (IR1: HOMA-IR >5.9 and IR2: HOMA-IR between 2.8 and 5.9 with HDL-C <51 mg/dl), were applied to a database of 2,360 outpatients, and their association with phenotypes, glucose tolerance, lipids and metabolic syndrome (MetS) was examined. IR1 group showed 5.5% of overweight versus 27.8% of IR2 subjects, and obesity was present in 92.3 versus 68.4%, respectively. We observed the major prevalence of pathological waist in IR1 compared to IR2 subjects: 96.0 versus 80.5% (p < 0.001). After OGTT, IR1 patients presented higher prevalence of impaired glucose tolerance (IGT: 25.8 vs. 20.2%, p < 0.001) and DM2 was diagnosed in 39.7% of IR1 versus 11.3% of IR2 patients (p < 0.001) with odds ratio (OR) 8.3 (95% CI 6.1-11.6) versus 0.8 (0.6-1.2), respectively. IR1 versus IR2 cutpoint showed higher significant (mean ± SEM) total cholesterol (224.8 ± 2.6 vs. 213.1 ± 1.7 mg/dl, p < 0.001) and triglyceride (208.1 ± 12.3 vs. 177.4 ± 4.8 mg/dl, p < 0.001) levels. MetS prevalence was significantly higher in IR1 than IR2 (89.0 vs. 78.3%, p < 0.001). The IR1 cutpoint was associated with a higher OR of MetS 7.3 (5.3-10.2) versus 5.2 (2.8-9.5) of IR2. In summary, the two alternative HOMA-IR cutoffs identify subjects with different distribution of phenotypes and gluco-metabolic risk. The IR1 patients are characterized by higher prevalence of obesity, pathological waist, MetS, dyslipidemia and IGT/DM2.

Lipids seasonal variability in type 2 diabetes

OBJECTIVE

The objective was to evaluate the seasonal lipid variations in type 2 diabetic (DM2) outpatients.

MATERIALS/METHODS

302 (183 women and 119 men) DM2 subjects with or without statins therapy were screened. Body weight, HbA1c, total cholesterol (TC), high density lipoprotein (HDL-C), triglycerides (Trg) and low density lipoprotein cholesterol (LDL-C) were measured and patients' data of diet and physical activity were recorded during fall/winter (F/W) and spring/summer (S/S) seasons.

RESULTS

HbA1c levels showed seasonal variability without statistical significance. During the colder seasons we observed an increase (P<.05) of weight associated with higher calorie intake and reduced physical activity. We showed a peak of TC, LDL-C and Trg levels during F/W while HDL-C levels were reduced. Median TC levels in F/W with respect to S/S were 197 vs 185 mg/dL (P<.001) without statins therapy and 172 vs 161 mg/dL (P<.001) in patients under statins therapy. Median LDL-C levels, without or with statin therapy, were 122 vs 114 mg/dL (P<.001) and 97.5 vs 88.5 mg/dL (P<.001), respectively. This seasonal lipids changes from F/W to S/S, modulated the percent of patients at LDL-C target <100 mg/dL, both without or under statins treatment: from 22% to 29.5% (P<.05) with odds ratio 0.73 (95% CI 0.62-0.87) and from 47% to 55% (P<.001) with odds ratio 0.68 (95% CI 0.58-0.76), respectively.

CONCLUSIONS

DM2 patients showed a peak of TC and LDL-C during colder months associated with changes of diet and lifestyle habits. This seasonal lipid trend modified the percentage of patients at LDL-C therapeutical target.

Dyslipidemia and diabetes: reciprocal impact of impaired lipid metabolism and Beta-cell dysfunction on micro- and macrovascular complications

Patients with diabetes frequently exhibit the combined occurrence of hyperglycemia and dyslipidemia. Published data on their coexistence are often controversial. Some studies provide evidence for suboptimal lifestyle and exogenous hyperinsulinism at "mild insulin resistance" in adult diabetic patients as main pathogenic factors. In contrast, other studies confirm that visceral adiposity and insulin resistance are the basic features of dyslipidemia in type 2 diabetes (T2D). The consequence is an excess of free fatty acids, which causes hepatic gluconeogenesis to increase, metabolism in muscles to shift from glucose to lipid, beta-cell lipotoxicity, and an appearance of the classical "lipid triad", without real hypercholesterolemia. Recently, it has been proposed that cholesterol homeostasis is important for an adequate insulin secretory performance of beta-cells. The accumulation of cholesterol in beta-cells, caused by defective high-density lipoprotein (HDL) cholesterol with reduced cholesterol efflux, induces hyperglycemia, impaired insulin secretion, and beta-cell apoptosis. Data from animal models and humans, including humans with Tangier disease, who are characterized by very low HDL cholesterol levels, are frequently associated with hyperglycemia and T2D. Thus, there is a reciprocal influence of dyslipidemia on beta-cell function and inversely of beta-cell dysfunction on lipid metabolism and micro- and macrovascular complications. It remains to be clarified how these different but mutually influencing adverse effects act in together to define measures for a more effective prevention and treatment of micro- and macrovascular complications in diabetes patients. While the control of circulating low-density lipoprotein (LDL) cholesterol and the level of HDL cholesterol are determinant targets for the reduction of cardiovascular risk, based on recent data, these targets should also be considered for the prevention of beta-cell dysfunction and the development of type 2 diabetes. In this review, we analyze consolidated data and recent advances on the relationship between lipid metabolism and diabetes mellitus, with particular attention to the reciprocal effects of the two features of the disease and the development of vascular complications.