Literature DB >> 21447747

Regulation of whole body energy homeostasis with growth hormone replacement therapy and endurance exercise.

Robert Oosterhof1, Michael Ith, Roman Trepp, Emanuel Christ, Martin Flück.   

Abstract

We hypothesized that network analysis is useful to expose coordination between whole body and myocellular levels of energy metabolism and can identify entities that underlie skeletal muscle's contribution to growth hormone-stimulated lipid handling and metabolic fitness. We assessed 112 metabolic parameters characterizing metabolic rate and substrate handling in tibialis anterior muscle and vascular compartment at rest, after a meal and exercise with growth hormone replacement therapy (GH-RT) of hypopituitary patients (n = 11). The topology of linear relationships (| r | ≥ 0.7, P ≤ 0.01) and mutual dependencies exposed the organization of metabolic relationships in three entities reflecting basal and exercise-induced metabolic rate, triglyceride handling, and substrate utilization in the pre- and postprandial state, respectively. GH-RT improved aerobic performance (+5%), lean-to-fat mass (+19%), and muscle area of tibialis anterior (+2%) but did not alter its mitochondrial and capillary content. Concomitantly, connectivity was established between myocellular parameters of mitochondrial lipid metabolism and meal-induced triglyceride handling in serum. This was mediated via the recruitment of transcripts of muscle lipid mobilization (LIPE, FABP3, and FABP4) and fatty acid-sensitive transcription factors (PPARA, PPARG) to the metabolic network. The interdependence of gene regulatory elements of muscle lipid metabolism reflected the norm in healthy subjects (n = 12) and distinguished the regulation of the mitochondrial respiration factor COX1 by GH and endurance exercise. Our observations validate the use of network analysis for systems medicine and highlight the notion that an improved stochiometry between muscle and whole body lipid metabolism, rather than alterations of single bottlenecks, contributes to GH-driven elevations in metabolic fitness.

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Year:  2011        PMID: 21447747     DOI: 10.1152/physiolgenomics.00034.2010

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


  4 in total

1.  A mixed-effects model of the dynamic response of muscle gene transcript expression to endurance exercise.

Authors:  Thierry Busso; Martin Flück
Journal:  Eur J Appl Physiol       Date:  2012-11-23       Impact factor: 3.078

2.  The Cardiovascular Response to Interval Exercise Is Modified by the Contraction Type and Training in Proportion to Metabolic Stress of Recruited Muscle Groups.

Authors:  Benedikt Gasser; Daniel Fitze; Martino Franchi; Annika Frei; David Niederseer; Christian M Schmied; Silvio Catuogno; Walter Frey; Martin Flück
Journal:  Sensors (Basel)       Date:  2020-12-29       Impact factor: 3.576

3.  Prader-Willi syndrome in neonates: twenty cases and review of the literature in Southern China.

Authors:  Ping Wang; Wei Zhou; Weiming Yuan; Longguang Huang; Ning Zhao; Xiaowen Chen
Journal:  BMC Pediatr       Date:  2016-08-09       Impact factor: 2.125

4.  A Single Bout of Electroacupuncture Remodels Epigenetic and Transcriptional Changes in Adipose Tissue in Polycystic Ovary Syndrome.

Authors:  Milana Kokosar; Anna Benrick; Alexander Perfilyev; Emma Nilsson; Thomas Källman; Claes Ohlsson; Charlotte Ling; Elisabet Stener-Victorin
Journal:  Sci Rep       Date:  2018-01-30       Impact factor: 4.379

  4 in total

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