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Relationship between lipid accumulation product and oxidative biomarkers by gender in adults from Yucatan, Mexico.

ABSTRACT: Excessive adipose tissue can lead to metabolic abnormalities resulting in lipid alteration and oxidative stress (OS) status. The lipid accumulation product (LAP) index is a biomarker that indicates central lipid accumulation and has been proposed as an accurate and independent indicator of risk for several cardiometabolic related conditions. There is a lack of information about the possible association of LAP and OS biomarkers. Therefore, this work aimed to investigate the relationship between LAP and OS biomarkers in adults. A cross-sectional study was performed in 250 subjects attending the Hospital Regional de Alta Especialidad de la Península de Yucatán. Anthropometrical and clinical parameters were measured. The serum oxidative biomarkers such as malondialdehyde (MDA) and total antioxidant capacity (TAC) were evaluated by spectrophotometry and by the oxygen radical absorbance capacity (ORAC), respectively. A positive and significant correlation between serum levels of MDA and LAP (r = 0.162, p = 0.010) was observed. This relationship was stronger in women (r = 0.189, p = 0.013) than in men. The association between them remained significant after adjusting for confounders (r = 0.23, p < 0.001). A cutoff of LAP of 73.73 predicts high levels of MDA in women aged between 40 and 59. LAP index was associated with OS biomarkers in women and men from Yucatan, Mexico. Therefore, the elevation of the LAP index could identify an imbalance in the redox status.

SUBMITTER: Lugo R

PROVIDER: S-EPMC9395434 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Relationship between lipid accumulation product and oxidative biomarkers by gender in adults from Yucatan, Mexico.

Lugo Roberto R Avila-Nava Azalia A Pech-Aguilar Alfredo Geovanny AG Medina-Vera Isabel I Guevara-Cruz Martha M Gutiérrez Solis Ana Ligia AL

Scientific reports 20220822 1

Excessive adipose tissue can lead to metabolic abnormalities resulting in lipid alteration and oxidative stress (OS) status. The lipid accumulation product (LAP) index is a biomarker that indicates central lipid accumulation and has been proposed as an accurate and independent indicator of risk for several cardiometabolic related conditions. There is a lack of information about the possible association of LAP and OS biomarkers. Therefore, this work aimed to investigate the relationship between L ...[more]

PMID: 35995839

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Project description:BackgroundDiabetes has become a global public health problem. Obesity has been established as a risk factor for diabetes. However, it remains unclear which of the obesity indicators (BMI, WC, WhtR, ABSI, BRI, LAP, VAI) is more appropriate for monitoring diabetes. Therefore, the objective of this investigation is to compare the strength of the association of these indicators and diabetes and reveal the relationship between LAP and diabetes.Methods15,252 people took part in this research. LAP was quartered and COX proportional risk model was applied to explore the relationship between LAP and new-onset diabetes. Smooth curve fitting was employed to investigate the non-linear link between LAP and diabetes mellitus. Finally, the receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the aforementioned indicators for diabetes.ResultsAfter adjusting for confounding factors, multiple linear regression analysis showed that each unit increase in LAP was associated with a 76.8% increase in the risk of developing diabetes (HR=1.768, 95% CI: 1.139 to 2.746, P=0.011). In addition, LAP predicted new-onset diabetes better than other indicators, and the AUC was the largest [HR: 0.713, 95% CI: 0.6806-0.7454, P<0.001, in women; HR: 0.7922, 95% CI: 0.7396-0.8447; P<0.001, in men]. When LAP was used as a lone predictor, its AUC area was largest both men and women. However, after adding classical predictors (FPG, HbA1c, SBP, exercise, age) to the model, the LAP is better than the ABSI, but not better than the other indicators when compared in pairs.ConclusionsHigh levels of LAP correlate very strongly with diabetes and are an important risk factor for diabetes, especially in women, those with fatty liver and current smokers. LAP was superior to other indicators when screening for diabetes susceptibility using a single indicator of obesity, both in men and in women. However, when obesity indicators were added to the model together with classical predictors, LAP did not show a significant advantage over other indicators, except ABSI.

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Project description:Dengue vaccines will soon provide a new tool for reducing dengue disease, but the effectiveness of widespread vaccination campaigns has not yet been determined. We developed an agent-based dengue model representing movement of and transmission dynamics among people and mosquitoes in Yucatán, Mexico, and simulated various vaccine scenarios to evaluate effectiveness under those conditions. This model includes detailed spatial representation of the Yucatán population, including the location and movement of 1.8 million people between 375,000 households and 100,000 workplaces and schools. Where possible, we designed the model to use data sources with international coverage, to simplify re-parameterization for other regions. The simulation and analysis integrate 35 years of mild and severe case data (including dengue serotype when available), results of a seroprevalence survey, satellite imagery, and climatological, census, and economic data. To fit model parameters that are not directly informed by available data, such as disease reporting rates and dengue transmission parameters, we developed a parameter estimation toolkit called AbcSmc, which we have made publicly available. After fitting the simulation model to dengue case data, we forecasted transmission and assessed the relative effectiveness of several vaccination strategies over a 20 year period. Vaccine efficacy is based on phase III trial results for the Sanofi-Pasteur vaccine, Dengvaxia. We consider routine vaccination of 2, 9, or 16 year-olds, with and without a one-time catch-up campaign to age 30. Because the durability of Dengvaxia is not yet established, we consider hypothetical vaccines that confer either durable or waning immunity, and we evaluate the use of booster doses to counter waning. We find that plausible vaccination scenarios with a durable vaccine reduce annual dengue incidence by as much as 80% within five years. However, if vaccine efficacy wanes after administration, we find that there can be years with larger epidemics than would occur without any vaccination, and that vaccine booster doses are necessary to prevent this outcome.

Dataset Information

Relationship between lipid accumulation product and oxidative biomarkers by gender in adults from Yucatan, Mexico.

Publications

Relationship between lipid accumulation product and oxidative biomarkers by gender in adults from Yucatan, Mexico.

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