Literature DB >> 22759919

Transcriptional response of skeletal muscle to a low-protein gestation diet in porcine offspring accumulates in growth- and cell cycle-regulating pathways.

Michael Oster1, Eduard Murani, Cornelia C Metges, Siriluck Ponsuksili, Klaus Wimmers.   

Abstract

Inadequate maternal protein supply during gestation represents an environmental factor that affects physiological signaling pathways with long-term consequences for growth, function, and structure of various tissues. Hypothesizing that the offspring's transcriptome is persistently altered by maternal diets, we used a porcine model to monitor the longitudinal expression changes in muscle to identify pathways relevant to fetal initiation of postnatal growth and development. German Landrace gilts were fed isoenergetic gestational diets containing 6.5% (LP) or 12.1% protein. The longissimus dorsi samples were collected from offspring at 94 days postconception (dpc) and 1, 28, and 188 days postnatum (dpn) for expression profiling. At 94 dpc, 1 dpn, and 28 dpn relatively few transcripts (<130) showed an altered abundance between the dietary groups. In fact, at 94 dpc genes of G2/M checkpoint regulation and mitotic roles of Polo-like kinases showed lowered transcript abundance in LP. At 188 dpn 677 transcripts were altered including those related to oxidative phosphorylation, citrate cycle, fatty acid metabolism (higher abundance in LP) and cell cycle regulation (lower abundance in LP). Correspondingly, transcriptional alterations during pre and postnatal development differed considerably among dietary groups, particularly for genes related to cell cycle regulation (G1/S and G2/M checkpoint regulation; cyclines), growth factor signaling (GH, IGF1, mTOR, RAN, VEGF, INSR), lipid metabolism, energy metabolism, and nucleic acid metabolism. In skeletal muscle, fetal programming related to maternal LP diets disturbed gene expression in growth-related pathways into adulthood. Diet-dependent gene expression may hamper proper development, thereby affecting signaling pathways related to energy utilization.

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Year:  2012        PMID: 22759919     DOI: 10.1152/physiolgenomics.00050.2012

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  6 in total

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Authors:  Marcel Adler; Eduard Murani; Siriluck Ponsuksili; Klaus Wimmers
Journal:  Physiol Genomics       Date:  2015-07-14       Impact factor: 3.107

2.  Transcriptome analysis of porcine M. semimembranosus divergent in intramuscular fat as a consequence of dietary protein restriction.

Authors:  Ruth M Hamill; Ozlem Aslan; Anne M Mullen; John V O'Doherty; Jean McBryan; Dermot G Morris; Torres Sweeney
Journal:  BMC Genomics       Date:  2013-07-06       Impact factor: 3.969

3.  Maternal Protein Restriction Altered Insulin Resistance and Inflammation-Associated Gene Expression in Adipose Tissue of Young Adult Mouse Offspring in Response to a High-Fat Diet.

Authors:  Juhae Kim; Alee Choi; Young Hye Kwon
Journal:  Nutrients       Date:  2020-04-16       Impact factor: 5.717

4.  Genetic regulation and variation of expression of miRNA and mRNA transcripts in fetal muscle tissue in the context of sex, dam and variable fetal weight.

Authors:  Siriluck Ponsuksili; Eduard Murani; Frieder Hadlich; Alvaro Perdomo-Sabogal; Nares Trakooljul; Michael Oster; Henry Reyer; Klaus Wimmers
Journal:  Biol Sex Differ       Date:  2022-05-12       Impact factor: 8.811

5.  Folate deficiency during early-mid pregnancy affects the skeletal muscle transcriptome of piglets from a reciprocal cross.

Authors:  Yi Li; Xu Zhang; Yanxiao Sun; Qiang Feng; Guanglei Li; Meng Wang; Xinxing Cui; Li Kang; Yunliang Jiang
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

6.  Impact of energy restriction during late gestation on the muscle and blood transcriptome of beef calves after preconditioning.

Authors:  Leticia P Sanglard; Moysés Nascimento; Philipe Moriel; Jeffrey Sommer; Melissa Ashwell; Matthew H Poore; Márcio de S Duarte; Nick V L Serão
Journal:  BMC Genomics       Date:  2018-09-25       Impact factor: 3.969

  6 in total

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