Literature DB >> 25458969

Abdominal visceral adiposity influences CD4+ T cell cytokine production in pregnancy.

Marlies K Ozias1, Shengqi Li2, Holly R Hull2, William M Brooks3, Margaret G Petroff4, Susan E Carlson2.   

Abstract

Women with pre-gravid obesity are at risk for pregnancy complications. While the macrophage response of obese pregnant women categorized by body mass index (BMI) has been documented, the relationship between the peripheral CD4(+) T cell cytokine profile and body fat compartments during pregnancy is unknown. In this study, third trimester peripheral CD4(+) T cell cytokine profiles were measured in healthy pregnant women [n=35; pre-pregnancy BMI: 18.5-40]. CD4(+) T cells were isolated from peripheral blood mononuclear cells and stimulated to examine their capacity to generate cytokines. Between 1 and 3weeks postpartum, total body fat was determined by dual-energy X-ray absorptiometry and abdominal subcutaneous and visceral fat masses were determined by magnetic resonance imaging. Pearson's correlation was performed to assess relationships between cytokines and fat mass. Results showed that greater abdominal visceral fat mass was associated with a decrease in stimulated CD4(+) T cell cytokine expression. IFN-gamma, TNF-alpha, IL-12p70, IL-10 and IL-17A were inversely related to visceral fat mass. Chemokines CCL3 and IL-8 and growth factors G-CSF and FLT-3L were also inversely correlated. Additionally, total body fat mass was inversely correlated with FGF-2 while abdominal subcutaneous fat mass and BMI were unrelated to any CD4(+) T cell cytokine. In conclusion, lower responsiveness of CD4(+) T cell cytokines associated with abdominal visceral fat mass is a novel finding late in gestation.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Abdominal fat; Humans; Inflammation; Obesity

Mesh:

Substances:

Year:  2014        PMID: 25458969      PMCID: PMC4297577          DOI: 10.1016/j.cyto.2014.09.009

Source DB:  PubMed          Journal:  Cytokine        ISSN: 1043-4666            Impact factor:   3.861


  18 in total

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  1 in total

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