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Cytokine patterns differ seasonally between women with and without uterine leiomyomata.

ABSTRACT: PROBLEM:Uterine leiomyomata are the most common reproductive tumor in women, and their cause is not known. METHODS OF STUDY:Plasma samples from 155 women (74 with and 81 without ultrasound-confirmed leiomyoma) from a new study of leiomyoma risk factors in the Detroit, Michigan area, were examined for any cross-sectional associations between commonly examined cytokines and leiomyoma presence. RESULTS:Associations varied by season of sample collection defined a priori as winter (December-February) and non-winter seasons. In the winter months, interleukin (IL)13 and IL17 were positively and IP10 was inversely associated with having a leiomyoma. In the non-winter samples, VEGF, G-CSF, and IP10 were positively associated and Monocyte chemotactic protein-1, IL13, and IL17 were inversely associated with having a leiomyoma. Associations were not changed by adjustment for age or BMI. CONCLUSIONS:These data suggest that new insight into leiomyoma formation may be acquired through investigation of the immune system.

SUBMITTER: Wegienka G

PROVIDER: S-EPMC3745526 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

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Cytokine patterns differ seasonally between women with and without uterine leiomyomata.

Wegienka Ganesa G Baird Donna Day DD Cooper Tracy T Woodcroft Kimberley J KJ Havstad Suzanne S

American journal of reproductive immunology (New York, N.Y. : 1989) 20130425 4

<h4>Problem</h4>Uterine leiomyomata are the most common reproductive tumor in women, and their cause is not known.<h4>Methods of study</h4>Plasma samples from 155 women (74 with and 81 without ultrasound-confirmed leiomyoma) from a new study of leiomyoma risk factors in the Detroit, Michigan area, were examined for any cross-sectional associations between commonly examined cytokines and leiomyoma presence.<h4>Results</h4>Associations varied by season of sample collection defined a priori as wint ...[more]

PMID: 23614810

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Project description:BackgroundUterine leiomyomata (UL) and endometriosis (EM) are common gynecological diseases damaging the reproductive health of fertile women. Among all the potential factors, environmental endocrine-disrupting chemicals are insufficiently addressed considering the multiple pollutants and mixture exposure.MethodsWomen aged 20 to 54 years old in the National Health and Nutrition Examination Survey (NHANES) 2001-2006, having a complete measurement of ten commonly exposed endocrine-disrupting chemicals (including urinary phthalate metabolites, equol, and whole blood heavy metals) and answered questions about UL and EM were included (N=1204). Multivariable logistic regression model, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models were implemented to analyze the combined effect of chemicals on the overall association with UL and EM.ResultsIn single chemical analysis, equol (OR: 1.90, 95% CI: 1.11, 3.27) and mercury (Hg) (OR: 1.91, 95% CI: 1.14, 3.25) were found positively associated with UL in tertile 3 vs. tertile 1. In WQS regression and BKMR models, the significant positive association between WQS index and UL (OR: 2.54, 95% CI: 1.52, 4.29) was identified and the positive relationship between equol and Hg exposure and UL were further verified. Besides, the mixture evaluation models (WQS and BKMR) also found MEHP negatively associated with UL. Although none of the single chemicals in tertile 3 were significantly associated with EM, the WQS index had a marginally positive association with EM (OR: 2.01, 95% CI: 0.98, 4.15), and a significant positive association was identified in subanalysis with participants restricted to premenopausal women (OR: 2.18, 95% CI: 1.03, 4.70). MIBP and MBzP weighted high in model of EM and MEHP weighted the lowest.ConclusionComparing results from these three statistical models, the associations between equol, Hg, and MEHP exposure with UL as well as the associations of MIBP, MBzP, and MEHP exposure with EM warrant further research.

Project description:BackgroundUterine leiomyomata (fibroids) are hormonally responsive tumors, but little is known about risk factors. Early-life exposures may influence uterine development and subsequent response to hormones in adulthood. An earlier analysis of non-Hispanic white women who participated in the Sister Study found associations between several early-life factors and early-onset fibroids.ObjectivesWe evaluated associations of early-life and childhood exposures with early-onset fibroids among black women and compared the results with those found among white women.MethodsWe analyzed baseline data from 3,534 black women, 35-59 years of age, in the Sister Study (a nationwide cohort of women who had a sister diagnosed with breast cancer) who self-reported information on early-life and childhood exposures. Early-onset fibroids were assessed based on self-report of a physician diagnosis of fibroids by the age of 30 years (n = 561). We estimated risk ratios (RR) and 95% confidence intervals (CI) from log-binomial regression models.ResultsFactors most strongly associated with early-onset fibroids were in utero diethylstilbestrol (DES; RR = 2.02; 95% CI: 1.28, 3.18), maternal prepregnancy diabetes or gestational diabetes (RR = 1.54; 95% CI: 0.95, 2.49), and monozygotic multiple birth (RR = 1.94; 95% CI: 1.26, 2.99). We also found positive associations with having been taller or thinner than peers at the age of 10 years and with early-life factors that included being the firstborn child of a teenage mother, maternal hypertensive disorder, preterm birth, and having been fed soy formula.ConclusionsWith the exception of monozygotic multiple birth and maternal hypertensive disorder, early-life risk factors for early-onset fibroids for black women were similar to those found for white women. However, in contrast to whites, childhood height and weight, but not low socioeconomic status indicators, were associated with early-onset fibroids in blacks. The general consistency of early-life findings for black and white women supports a possible role of early-life factors in fibroid development.

Dataset Information

Cytokine patterns differ seasonally between women with and without uterine leiomyomata.

Publications

Cytokine patterns differ seasonally between women with and without uterine leiomyomata.

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