Introduction: Excess fat accumulation contributes to the development of type 2 diabetes mellitus (T2DM). Lipid accumulation product (LAP) is an index computed from waist circumference and triglycerides, which represents increased lipotoxicity. We aim to study the relationship of LAP index and T2DM and its utility as a predictor for T2DM development. Methodology: A literature search in PubMed and Cochrane database was performed to retrieve and review studies reporting the association between LAP and T2DM Results: Two cross-sectional studies from Japan and the United States, and one cohort study from Iran were obtained. A high LAP was associated with a higher risk of T2DM [odds ratio (OR) 19.1, 95% confidence interval (CI) (6.6-55.5) for women; and OR 7.4, 95% CI (5.1-10.8) for men]. Conclusion LAP was strongly associated with T2DM. Its utility in predicting the development of T2DM needs to be confirmed.
Lipid Accumulation Product ; Diabetes Mellitus, Type 2 ; Insulin Resistance ; Obesity

OBJECTIVETo investigate the association of ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors (PPARα, δ, γ) with lipid accumulation product (LAP) and the additional role of a gene-gene interactions among the 10 SNPs.

METHODSParticipants were recruited under the framework of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu province) cohort populations survey in the urban community of Jiangsu province of China. A total of 820 subjects were randomly selected and no individual was related. Ten SNPs (rs135539, rs4253778, rs1800206, rs2016520, rs9794, rs10865710, rs1805192, rs709158, rs3856806 and rs4684847) were selected from the HapMap database, which covered PPARα, PPARδ and PPARγ. A linear regression model was used to analyze the relations between ten SNPs in the PPARs and LAP. Mean difference (Difference) and 95% confident interval (95%CI)were calculated. Interactions were explored by using the method of Generalized Multifactor Dimensionality Reduction (GMDR).

RESULTSAfter adjusting the factors as age, gender, smoking status, occupational physical activity, educational level, high-fat diet as well as low-fiber diet, both rs1800206, s1805192 and rs3856806 were significantly associated with the increased level of LAP. Difference (95% CI) values were 32.47 (22.62-42.31), 12.97 (4.61-21.33) and 12.49 (4.24-20.75). Whereas rs2016520 was significantly associated with the decreased level of LAP. Difference (95%CI) values was -14.67 ( -22.97--6.55). GMDR analysis showed a significant gene-gene interaction among rs135539, rs1800206 of PPARα, rs2016520 of PPARδ and rs10865710, rs3856806, rs709158, rs1805192, rs4684847 of PPARγ for eight-dimension models (P < 0.05), in which prediction accuracy was 0.5902 and cross-validation consistency was 10/10.

CONCLUSIONThe rs1800206 of PPARα and rs1805192, rs3856806 of PPARγ were significantly associated with the increased level of LAP; rs2016520 of PPARδ was associated with the decreased level of LAP. There was a gene-gene interaction between multiple SNPs.

Adult ; China ; Female ; Gene Frequency ; Genotype ; Humans ; Lipid Accumulation Product ; Male ; Metabolic Syndrome ; genetics ; metabolism ; Middle Aged ; Peroxisome Proliferator-Activated Receptors ; genetics ; Polymorphism, Single Nucleotide

BACKGROUND/AIMS: Fatty liver is a clinical and pathologic condition in individuals with type 2 diabetes (T2D). The purpose of this study is to examine the effects of different exercise modalities on non-alcoholic fatty liver indices (fatty liver index [FLI], lipid accumulation product [LAP], hepatic steatosis index [HSI], and Framingham Steatosis Index [FSI]) in women with T2D. METHODS: Fifty-two women with T2D and a mean age of 55.07±5.92 yrs, body mass index (BMI) 28.94±4.09 kg/m² , and hemoglobin A1c (HbA1c) 9.41±0.82% were randomized to a sprint interval training (SIT) (n=17), combined aerobic and resistance (A+R) training (n=17), or control group (n=18) for 10 weeks. Two-way repeated analysis of variance (ANOVA) was used to find differences between groups and the effects of time and Time×Group interactions after 10 weeks on non-alcoholic fatty liver indices. After this, ANOVA models were constructed to determine the effects of group allocation and change in non-alcoholic fatty liver indices. RESULTS: There were significant time interactions for FLI (P<0.001), HSI (P<0.001), and LAP (P<0.001). Also, there were significant Time×Group interactions for fasting blood glucose (P=0.034), and HbA1c (P=0.006). CONCLUSIONS: Results highlight that exercise training, independent of mode of training, is an effective strategy to improve some indices related to hepatic steatosis and blood glucose profiles in women with T2D.
Blood Glucose ; Body Mass Index ; Diabetes Mellitus, Type 2 ; Fasting ; Fatty Liver ; Female ; Humans ; Lipid Accumulation Product ; Liver ; Non-alcoholic Fatty Liver Disease ; Overweight

BACKGROUND: Lipid accumulation product (LAP) is a novel biomarker of central lipid accumulation related to risk of diabetes and cardiovascular disease. In this study, we assessed the association of LAP with glucose homeostasis, lipid and lipid peroxidation, and subclinical systemic inflammation in diabetic patients. METHODS: Thirty-nine male and 47 female type 2 diabetic patients were assessed for anthropometrics and biochemical measurements. LAP was calculated as [waist circumference (cm)-65]x[triglycerides (mmol/L)] in men, and [waist circumference (cm)-58]x[triglycerides (mmol/L)] in women. Associations of LAP with fasting glucose, insulin, insulin resistance index, lipid and lipoprotein levels, malondialdehyde, and high-sensitive C-reactive protein (hs-CRP) were assessed. RESULTS: Mean age and LAP index were 53.6+/-9.6 and 51.9+/-31.2 years, respectively. After adjustments for age, sex and body mass index status, a significant positive correlation was observed between LAP index and fasting glucose (r=0.39, P<0.001), and homeostasis model assessment of insulin resistance (r=0.31, P<0.05). After additional adjustment for fasting glucose levels, antidiabetic and antilipidemic drugs, the LAP index was also correlated to total cholesterol (r=0.45, P<0.001), high density lipoprotein cholesterol (HDL-C) levels (r=-0.29, P<0.05), triglycerides to HDL-C ratio (r=0.89, P<0.001), malondialdehyde (r=0.65, P<0.001), and hs-CRP levels (r=0.27, P<0.05). CONCLUSION: Higher central lipid accumulation in diabetic patients was related to higher insulin resistance, oxidative stress and systemic inflammation.
Body Mass Index ; C-Reactive Protein ; Cardiovascular Diseases ; Cholesterol ; Cholesterol, HDL ; Diabetes Mellitus, Type 2 ; Fasting ; Female ; Glucose ; Homeostasis ; Humans ; Inflammation* ; Insulin ; Insulin Resistance* ; Lipid Accumulation Product* ; Lipid Peroxidation* ; Lipoproteins ; Male ; Malondialdehyde ; Oxidative Stress ; Triglycerides

BACKGROUND: Lipid accumulation product (LAP) is associated with the presence and severity of nonalcoholic fatty liver disease (NAFLD) in adults.PURPOSE: Here we evaluated the ability of LAP to predict NAFLD in obese children.METHODS: Eighty obese children (38 girls; age 6–18 years) were included. Anthropometric measurements and biochemical values were obtained from the patients’ medical records. LAP was calculated as [waist circumference (WC) (cm) – 58]×triglycerides (mmol/L) in girls; [WC (cm) – 65]×triglycerides (mmol/L) in boys. The minLAP and adjLAP were described (3% and 50% of WC values, respectively) and the total/high-density lipoprotein cholesterol index (TC/HDL-C) was calculated. NAFLD was observed on ultrasound, and patients were divided into 3 groups by steatosis grade (normal, grade 0; mild, grade 1; moderate-severe, grade 2–3). The area under the curve (AUC) and appropriate index cutoff points were calculated by receiver operator characteristic analysis.RESULTS: LAP was positively correlated with puberty stage (rho=0.409; P<0.001), fasting insulin (rho=0.507; P<0.001), homeostasis model assessment of insulin resistance (rho=0.470; P<0.001), uric acid (rho=0.522; P<0.001), and TC/HDL-C (rho=0.494; P<0.001) and negatively correlated with HDL-C (rho=-3.833; P<0.001). LAP values could be used to diagnose hepatosteatosis (AUC=0.698; P=0.002). The LAP, adjLAP, and minLAP cutoff values were 42.7 (P=0.002), 40.05 (P=0.003), and 53.47 (P=0.08), respectively. For LAP, the differences between the normal and mild groups (P=0.035) and the normal and moderate-severe groups were statistically significant (P=0.037), whereas the difference between the mild and moderate-severe groups was not (P>0.005). There was a statistically significant difference between the normal and mild groups for adjLAP (P=0.043) but not between the other groups (P>0.005). There was no significant intergroup difference in minLAP (P>0.005).CONCLUSION: LAP is a powerful and easy tool to predict NAFLD in childhood. If LAP is ≥42.7, NAFLD should be suspected. This is the first study to assess LAP diagnostic accuracy for childhood obesity.
Adolescent ; Adult ; Child ; Cholesterol ; Fasting ; Female ; Homeostasis ; Humans ; Insulin ; Insulin Resistance ; Lipid Accumulation Product ; Lipoproteins ; Medical Records ; Non-alcoholic Fatty Liver Disease ; Obesity ; Pediatric Obesity ; Puberty ; Ultrasonography ; Uric Acid ; Waist Circumference

PURPOSE: Polycystic ovary syndrome (PCOS) is a gynecological endocrine disorder that is characterized by disturbances in ovarian blood flow and angiogenesis. The aim of this study was to determine the association of vascular endothelial growth factor (VEGF) and thrombospondin-1 (TSP-1) serum levels with the body mass index (BMI) in patients with PCOS compared with healthy subjects. METHODS: The study was conducted with 80 subjects in 3 PCOS groups, including normal weight, overweight, and obese PCOS groups, and a control group of healthy subjects (n=20). The participants in all groups completed a questionnaire comprising sociodemographic and obstetric questions. The PCOS diagnosis in the study subjects was confirmed based on the Rotterdam criteria, BMI was determined according to the World Health Organization guidelines, and the lipid accumulation product index was calculated for all groups. Venous blood samples were collected from all participants after fasting to measure the serum levels of fasting blood glucose (FBG), lipids, insulin, VEGF, TSP-1, and leptin. RESULTS: Our findings showed that the serum VEGF level was significantly higher in the normal BMI PCOS group than that in the control group (P=0.03), and the TSP-1 level was significantly lower in the obese PCOS group than that in the control group (P=0.04). CONCLUSIONS: Our study demonstrated that alterations in VEGF and TSP-1 concentrations are dependent on BMI. Because abnormal ovarian angiogenesis is considered to be the main feature of PCOS, the study of ovarian angiogenic imbalance is proposed as a new tool for PCOS diagnosis and management.
Blood Glucose ; Body Mass Index ; Case-Control Studies ; Diagnosis ; Fasting ; Healthy Volunteers ; Humans ; Insulin ; Leptin ; Lipid Accumulation Product ; Overweight ; Polycystic Ovary Syndrome ; Thrombospondin 1 ; Vascular Endothelial Growth Factor A ; World Health Organization

BACKGROUND: Helicobacter pylori infection and subsequent gastric inflammation have been proposed as risk factors for the development of insulin resistance and cardiovascular disease. In this study we assessed the possible association of H. pylori bacterial load, and serum biomarker of gastric inflammation with cardiometabolic risk factors in diabetic patients. METHODS: In this cross-sectional study, 84 H. pylori-infected type 2 diabetic patients were assessed for anthropometrics, biochemical and clinical measurements. Pearson correlation test, linear, and logarithmic regression curve estimation models were used to assess the association of H. pylori stool antigen (HpSAg) levels, and pepsinogen I (PGI) to pepsinogen II (PGII) ratio with fasting serum glucose, insulin, serum lipid and lipoprotein parameters, malondialdehyde, high-sensitive C-reactive protein (hs-CRP), systolic and diastolic blood pressure, body weight, waist circumference and lipid accumulation product (LAP) index. RESULTS: The mean age of participants was 54+/-10 years, and 44% were men. Mean HpSAg levels and PGI/PGII ratio were 0.24+/-0.23 microg/mL and 9.9+/-9.0, respectively. Higher HpSAg as well as lower PGI/PGII was correlated with higher anthropometric measures and LAP. A significant negative correlation between PGI/PGII ratio and blood pressure (r=-0.21 and r=-0.22, systolic and diastolic, respectively, P<0.05), serum insulin (r=-0.17, P=0.05), and hs-CRP (r=-0.17, P=0.05) was observed. A significant linear association between PGI/PGII ratio with serum triglycerides (beta=-0.24, P<0.05), serum high density lipoprotein cholesterol (HDL-C; beta=0.43, P<0.01), and triglycerides/HDL-C ratio (beta=-0.28, P<0.05) were observed. CONCLUSION: Higher H. pylori bacterial load and lower PGI/PGII ratio was associated with higher levels of cardiometabolic risk factors in H. pylori infected type 2 diabetic patients.
Bacterial Load ; Biomarkers* ; Blood Glucose ; Blood Pressure ; Body Weight ; C-Reactive Protein ; Cardiovascular Diseases ; Cholesterol, HDL ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2 ; Fasting ; Helicobacter pylori* ; Helicobacter* ; Humans ; Inflammation* ; Insulin ; Insulin Resistance ; Lipid Accumulation Product ; Lipoproteins ; Male ; Malondialdehyde ; Pepsinogen A ; Pepsinogen C ; Pepsinogens ; Risk Factors* ; Triglycerides ; Waist Circumference

OBJECTIVES: The aim of this study was to investigate the clinical and biochemical profiles according to homeostasis model assessment of insulin resistance (HOMA-IR) in Korean polycystic ovary syndrome (PCOS) patients. METHODS: In 458 PCOS patients diagnosed by the Rotterdam European Society for Human Reproduction and Embryology (ESHRE) criteria, measurements of somatometry, blood test of hormones, glucose metabolic and lipid profiles, and transvaginal or transrectal ultrasonogram were carried out. HOMA-IR was then calculated and compared with the clinical and biochemical profiles related to PCOS. The patients were divided into 4 groups by quartiles of HOMA-IR. RESULTS: The mean level of HOMA-IR was 2.18 +/- 1.73. Among the four groups separated according to HOMA-IR, body weight, body mass index (BMI), waist-to-hip ratio (WHR), triglyceride (TG), total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, lipid accumulation product (LAP) index, high-sensitivity C-reactive protein (hs-CRP), Apoprotein B, free testosterone, and sex hormone binding globulin (SHBG) were found to be significantly different. TG, LAP index, glucose metabolic profiles, and hs-CRP were positively correlated with HOMA-IR after adjustment for BMI. CONCLUSION: Our results suggest that the clinical and biochemical profiles which are applicable as cardiovascular risk factors are highly correlated with HOMA-IR in Korean women with PCOS.
Apoproteins ; Body Mass Index ; Body Weight ; C-Reactive Protein ; Cardiovascular Diseases ; Cholesterol ; Embryology ; Female ; Glucose ; Hematologic Tests ; Homeostasis* ; Humans ; Insulin Resistance ; Lipid Accumulation Product ; Lipoproteins ; Metabolome ; Polycystic Ovary Syndrome* ; Reproduction ; Risk Factors ; Sex Hormone-Binding Globulin ; Testosterone ; Triglycerides ; Ultrasonography ; Waist-Hip Ratio