Evidence map›Paper›PMID 22061623›Full record

ArticleMolecular and cellular endocrinology2012

Gene-environment interactions: the potential role of contaminants in somatic growth and the development of the reproductive system of the American alligator.

Brandon C Moore, Alison M Roark, Satomi Kohno, Heather J Hamlin, Louis J Guillette

Abstract read
In one paragraph

Article in Molecular and cellular endocrinology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
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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

5 authors.

Brandon C MooreDepartment of Biology, 220 Bartram Hall, P.O. Box 118525, University of Florida, Gainesville, FL 32611-8525, USA. bmoore@latech.edu
Alison M Roark
Satomi Kohno
Heather J Hamlin
Louis J Guillette

Funding

Inhibins and Environmental Estrogens in Ovarian DiseaseR21ES014053 · NIEHS · UNIVERSITY OF FLORIDA · PI GUILLETTE, LOUIS J · 2006 to 2007
$383k
Howard Hughes Medical InstituteNIEHS NIH HHS R21 ES014053NIEHS NIH HHS R21 ES014053-01
6 · The paper itself

Abstract

Developing organisms interpret and integrate environmental signals to produce adaptive phenotypes that are prospectively suited for probable demands in later life. This plasticity can be disrupted when embryos are impacted by exogenous contaminants, such as environmental pollutants, producing potentially deleterious and long-lasting mismatches between phenotype and the future environment. We investigated the ability for in ovo environmental contaminant exposure to alter the growth trajectory and ovarian function of alligators at five months after hatching. Alligators collected as eggs from polluted Lake Apopka, FL, hatched with smaller body masses but grew faster during the first five months after hatching, as compared to reference-site alligators. Further, ovaries from Lake Apopka alligators displayed lower basal expression levels of inhibin beta A mRNA as well as decreased responsiveness of aromatase and follistatin mRNA expression levels to treatment with follicle stimulating hormone. We posit that these differences predispose these animals to increased risks of disease and reproductive dysfunction at adulthood.

Indexed as

Environmental ExposureGene Expression RegulationActivinsAlligators and CrocodilesAnimalsBiosynthetic PathwaysBody WeightCytochrome P-450 Enzyme SystemEstradiolFemaleFollicle Stimulating HormoneGenitalia, FemaleOvaryReceptors, SteroidTestosteroneTranscription, GeneticActivinsCytochrome P-450 Enzyme SystemEstradiolFollicle Stimulating HormoneReceptors, SteroidTestosterone

Identifiers

PMID22061623
PMCPMC3328103

What OpenQuestion holds

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Registered trials

None linked

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.