Evidence map›Paper›PMID 27814400›Full record

ArticlePloS one2016

Sperm microRNA Content Is Altered in a Mouse Model of Male Obesity, but the Same Suite of microRNAs Are Not Altered in Offspring's Sperm.

Tod Fullston, E Maria C Ohlsson-Teague, Cristin G Print, Lauren Y Sandeman, Michelle Lane

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
20.9field-weighted citation impact, top 1% of its field
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

43 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
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  6. How Early-Life Programming During Embryogenesis Imprints Cellular Memory.International journal of molecular sciences · 2025
    Review
  7. Article
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  13. Maternal Nutrition, Toxicants, and Epigenetic Programming of Obesity Across Generations.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
  14. Review
  15. Article
  16. Article
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  18. Article
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  20. Glucocorticoid exposure modifies the miRNA profile of sperm in the guinea pig: Implications for intergenerational transmission.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
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 at 3 institutions in 2 countries.

Tod FullstonDiscipline of Obstetrics & Gynaecology, School of Medicine, Robinson Research Institute, The University of Adelaide, Adelaide, South Australia 5005, Australia.
E Maria C Ohlsson-TeagueDiscipline of Obstetrics & Gynaecology, School of Medicine, Robinson Research Institute, The University of Adelaide, Adelaide, South Australia 5005, Australia.
Cristin G PrintDepartment of Molecular Medicine & Pathology and New Zealand Bioinformatics Institute, University of Auckland, Auckland 1142, New Zealand.
Lauren Y SandemanDiscipline of Obstetrics & Gynaecology, School of Medicine, Robinson Research Institute, The University of Adelaide, Adelaide, South Australia 5005, Australia.
Michelle LaneDiscipline of Obstetrics & Gynaecology, School of Medicine, Robinson Research Institute, The University of Adelaide, Adelaide, South Australia 5005, Australia.
University of Adelaide · AUMonash IVF · AUUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of obesity is increasing worldwide and has tripled in men of reproductive age since the 1970s. Concerningly, obesity is not only comorbid with other chronic diseases, but there is mounting evidence that it increases the non-communicable disease load in their children (eg mortality, obesity, autism). Animal studies have demonstrated that paternal obesity increases the risk of metabolic (eg glucose metabolism defects, obesity) and reproductive disorders in offspring. Epigenetic changes within sperm are clear mechanistic candidates that are associated with both changes to the father's environment and offspring phenotype. Specifically there is emerging evidence that a father's sperm microRNA content both responds to paternal environmental cues and alters the gene expression profile and subsequent development of the early embryo. We used a mouse model of high fat diet (HFD) induced obesity to investigate whether male obesity could modulate sperm microRNA content. We also investigated whether this alteration to a father's sperm microRNA content lead to a similar change in the sperm of male offspring. Our investigations were initially guided by a Taqman PCR array, which indicated the differential abundance of 28 sperm borne microRNAs in HFD mice. qPCR confirmation in a much larger cohort of founder males demonstrated that 13 of these microRNAs were differentially abundant (11 up-regulated; 2 down-regulated) due to HFD feeding. Despite metabolic and reproductive phenotypes also being observed in grand-offspring fathered via the male offspring lineage, there was no evidence that any of the 13 microRNAs were also dysregulated in male offspring sperm. This was presumably due to the variation seen within both groups of offspring and suggests other mechanisms might act between offspring and grand-offspring. Thus 13 sperm borne microRNAs are modulated by a father's HFD and the presumed transfer of this altered microRNA payload to the embryo at fertilisation potentially acts to alter the embryonic molecular makeup post-fertilisation, altering its growth trajectory, ultimately affecting adult offspring phenotype and may contribute to paternal programming.

Indexed as

AdiposityAnimalsDiet, High-FatDisease Models, AnimalEpigenesis, GeneticFathersFertilizationMaleMiceMice, Inbred C57BLMicroRNAsObesityReproductionSpermatozoaTranscriptomeMicroRNAs

Identifiers

PMID27814400
PMCPMC5096664
OpenAlexW2547809526

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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.