Evidence map›Paper›PMID 25676576›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2015

Adiposity Alters Genes Important in Inflammation and Cell Cycle Division in Human Cumulus Granulosa Cell.

Zaher Merhi, Alex J Polotsky, Andrew P Bradford, Erkan Buyuk, Justin Chosich, Tzu Phang, Sangita Jindal, Nanette Santoro

Abstract readComparative Study
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zaher MerhiDivision of Reproductive Biology, Department of Obstetrics and Gynecology, NYU Langone Medical Center, New York, NY, USA Division of Reproductive Endocrinology and Infertility, University of Vermont College of medicine, Burlington, VT, USA zom00@hotmail.com.
Alex J PolotskyDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Colorado, Denver, CO, USA.
Andrew P BradfordDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Colorado, Denver, CO, USA.
Erkan BuyukDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Justin ChosichDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Colorado, Denver, CO, USA.
Tzu PhangDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Colorado, Denver, CO, USA.
Sangita JindalDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Nanette SantoroDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Colorado, Denver, CO, USA.

Funding

PROJECT 4 - Antagonistic Actions of Melanocortins and Leptin on Reproductive CompU54HD058155 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI POLLARD, JEFFREY W. · 2009 to 2013
$6.8M
NICHD NIH HHS U54 HD058155
6 · The paper itself

Abstract

objectiveTo determine whether obesity alters genes important in cellular growth and inflammation in human cumulus granulosa cells (GCs).

methodsEight reproductive-aged women who underwent controlled ovarian hyperstimulation followed by oocyte retrieval for in vitro fertilization were enrolled. Cumulus GC RNA was extracted and processed for microarray analysis on Affymetrix Human Genome U133 Plus 2.0 chips. Gene expression data were validated on GCs from additional biologically similar samples using quantitative real-time polymerase chain reaction (RT-PCR). Comparison in gene expression was made between women with body mass index (BMI) <25 kg/m(2) (group 1; n = 4) and those with BMI ≥25 kg/m(2) (group 2; n = 4).

resultsGroups 1 and 2 had significantly different BMI (21.4 ± 1.4 vs 30.4 ± 2.7 kg/m(2), respectively; P = .02) but did not differ in age (30.5 ± 1.7 vs 32.7 ± 0.3 years, respectively; P = .3). Comparative analysis of gene expression profiles by supervised clustering between group 1 versus group 2 resulted in the selection of 7 differentially expressed genes: fibroblast growth factor 12 (FGF-12), protein phosphatase 1-like (PPM1L), zinc finger protein multitype 2 (ZFPM2), forkhead box M1 (FOXM1), cell division cycle 20 (CDC20), interleukin 1 receptor-like 1 (IL1RL1), and growth arrest-specific protein 7 (GAS7). FOXM1, CDC20, and GAS7 were downregulated while FGF-12 and PPM1L were upregulated in group 2 when compared to group 1. Validation with RT-PCR confirmed the microarray data except for ZFPM2 and IL1RL. As BMI increased, expression of FOXM1 significantly decreased (r = -.60, P = .048).

conclusionsAdiposity is associated with changes in the expression of genes important in cellular growth, cell cycle progression, and inflammation. The upregulation of the metabolic regulator gene PPM1L suggests that adiposity induces an abnormal metabolic follicular environment, potentially altering folliculogenesis and oocyte quality.

Indexed as

AdiposityBody Mass IndexCell CycleCellular MicroenvironmentCluster AnalysisCumulus CellsFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalHumansInflammationObesityOligonucleotide Array Sequence AnalysisOocyte RetrievalOvulation InductionPhosphoprotein PhosphatasesPhosphoprotein PhosphatasesPPM1L protein, humancell cyclecumulusgranulosa cellinflammationobesity

Identifiers

PMID25676576
PMCPMC5933087

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.