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No Difference in Lactoferrin Levels between Metabolically Healthy and Unhealthy Obese Women.

ABSTRACT: BACKGROUND:The aim of the study was to compare serum lactoferrin concentrations in metabolically healthy obese (MHO) and metabolically unhealthy obese (MUHO) women. METHODS:Three hundred (101 MHO and 199 MUHO) women were recruited to the study. Basic anthropometric parameters and blood pressure were measured. Body mass index (BMI) was calculated. Fat mass and visceral adipose tissue mass were assessed using dual X-ray absorptiometry scan. Fasting glucose, insulin, lipid profile, high sensitivity C-reactive protein (hs-CRP) and lactoferrin levels were determined. RESULTS:Lactoferrin levels did not differ between MHO and MUHO subjects (median (interquartile range): 1639 (1055-2396) vs. 1622 (1009-23345) ng/mL). However, in the total population insulin (r = 0.131, p = 0.0234) and hs-CRP (r = 0.165, p = 0.0045) levels were correlated with lactoferrin concentrations. In addition, a weak positive association between serum lactoferrin concentrations and anthropometric parameters was also detected, and predominantly referred to MHO group (body weight: r = 0.231, p = 0.0201; BMI: r = 0.286, p = 0.0037; waist circumference: r = 0.258, p = 0.0092). In addition, serum lactoferrin concentrations were negatively correlated with fasting glucose (r = -0.250, p = 0.0115) and HDL-C levels (r = -0.203, p = 0.0411) in MHO subjects. CONCLUSIONS:Lactoferrin levels did not differ between MHO and MUHO women. However, some mild correlations between lactoferrin concentrations and anthropometric and metabolic parameters were observed mostly in MHO subjects.

SUBMITTER: Jamka M

PROVIDER: S-EPMC6770347 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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No Difference in Lactoferrin Levels between Metabolically Healthy and Unhealthy Obese Women.

Jamka Małgorzata M Krzyżanowska-Jankowska Patrycja P Mądry Edyta E Lisowska Aleksandra A Bogdański Paweł P Walkowiak Jarosław J

Nutrients 20190822 9

<h4>Background</h4>The aim of the study was to compare serum lactoferrin concentrations in metabolically healthy obese (MHO) and metabolically unhealthy obese (MUHO) women.<h4>Methods</h4>Three hundred (101 MHO and 199 MUHO) women were recruited to the study. Basic anthropometric parameters and blood pressure were measured. Body mass index (BMI) was calculated. Fat mass and visceral adipose tissue mass were assessed using dual X-ray absorptiometry scan. Fasting glucose, insulin, lipid profile, h ...[more]

PMID: 31443387

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Project description:BackgroundFew studies have examined dietary data or objective measures of physical activity (PA) and sedentary behavior among metabolically healthy overweight/obese (MHO) and metabolically unhealthy overweight/obese (MUO). Thus, the purpose is to determine whether PA, sedentary behavior and/or diet differ between MHO and MUO in a sample of young women.MethodsForty-six overweight/obese (BMI ?25 kg/m2) African American and Caucasian women 19-35 years were classified by cardiometabolic risk factors, including elevated blood pressure, triglyceride, glucose and C-reactive protein, low high density lipoprotein, and insulin resistance (MUO ?2; MHO, <2). Time (mins/day) in light, moderate, vigorous PA, and sedentary behavior were estimated using an accelerometer (?3 days; ?8 hrs wear time). Questionnaires were used to quantify sitting time, TV/computer use and usual daily activity. The Block Food Frequency Questionnaire assessed dietary food intake. Differences between MHO and MUO for lifestyle behaviors were tested with linear regression (continuous data) or logistic regression (categorical data) after adjusting for age, race, BMI, smoking and accelerometer wear and/or total kilocalories, as appropriate.ResultsWomen were 26.7±4.7 years, with a mean BMI of 31.1±3.7 kg/m2, and 61% were African American. Compared to MUO (n = 9), MHO (n = 37; 80%) spent less mins/day in sedentary behavior (difference: -58.1±25.5, p = 0.02), more mins/day in light PA (difference: 38.2±16.1, p = 0.02), and had higher daily METs (difference: 0.21±0.09, p = 0.03). MHO had higher fiber intakes (g/day of total fiber, soluble fiber, fruit/vegetable fiber, bean fiber) and daily servings of vegetables; but lower daily dairy servings, saturated fat, monounsaturated fat and trans fats (g/day) compared to MUO.ConclusionCompared to MUO, MHO young women demonstrate healthier lifestyle habits with less sedentary behavior, more time in light PA, and healthier dietary quality for fat type and fiber. Future studies are needed to replicate findings with larger samples that include men and women of diverse race/ethnic groups.

Project description:BackgroundObesity is associated with severe co-morbidities such as type 2 diabetes and nonalcoholic steatohepatitis. However, studies have shown that 10-25 percent of the severely obese individuals are metabolically healthy. To date, the identification of genetic factors underlying the metabolically healthy obese (MHO) state is limited. Systems genetics approaches have led to the identification of genes and pathways in complex diseases. Here, we have used such approaches across tissues to detect genes and pathways involved in obesity-induced disease development.MethodsExpression data of 60 severely obese individuals was accessible, of which 28 individuals were MHO and 32 were metabolically unhealthy obese (MUO). A whole genome expression profile of four tissues was available: liver, muscle, subcutaneous adipose tissue and visceral adipose tissue. Using insulin-related genes, we used the weighted gene co-expression network analysis (WGCNA) method to build within- and inter-tissue gene networks. We identified genes that were differentially connected between MHO and MUO individuals, which were further investigated by homing in on the modules they were active in. To identify potentially causal genes, we integrated genomic and transcriptomic data using an eQTL mapping approach.ResultsBoth IL-6 and IL1B were identified as highly differentially co-expressed genes across tissues between MHO and MUO individuals, showing their potential role in obesity-induced disease development. WGCNA showed that those genes were clustering together within tissues, and further analysis showed different co-expression patterns between MHO and MUO subnetworks. A potential causal role for metabolic differences under similar obesity state was detected for PTPRE, IL-6R and SLC6A5.ConclusionsWe used a novel integrative approach by integration of co-expression networks across tissues to elucidate genetic factors related to obesity-induced metabolic disease development. The identified genes and their interactions give more insight into the genetic architecture of obesity and the association with co-morbidities.

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No Difference in Lactoferrin Levels between Metabolically Healthy and Unhealthy Obese Women.

Publications

No Difference in Lactoferrin Levels between Metabolically Healthy and Unhealthy Obese Women.

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