Evidence map›Paper›PMID 35760527›Full record

ArticleThe Journal of physiology2022

Transforming growth factor β1 impairs the transcriptomic response to contraction in myotubes from women with polycystic ovary syndrome.

Luke C McIlvenna, Ali Altıntaş, Rhiannon K Patten, Andrew J McAinch, Raymond J Rodgers, Nigel K Stepto, Romain Barrès, Alba Moreno-Asso

Open access · hybridAbstract read
In one paragraph

Article in The Journal of physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 4 institutions in 4 countries.

Luke C McIlvennaInstitute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia.ORCID 0000-0003-3759-3711
Ali AltıntaşThe Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-8932-0160
Rhiannon K PattenInstitute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia.
Andrew J McAinchInstitute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia.ORCID 0000-0002-8762-4865
Raymond J RodgersInstitute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia.
Nigel K SteptoInstitute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia.ORCID 0000-0002-0875-6836
Romain BarrèsThe Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0158-519X
Alba Moreno-AssoInstitute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia.ORCID 0000-0003-1213-2572
Western Health · AUUniversity of Copenhagen · DKVictoria University · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is characterised by a hormonal imbalance affecting the reproductive and metabolic health of reproductive-aged women. Exercise is recommended as a first-line therapy for women with PCOS to improve their overall health; however, women with PCOS are resistant to the metabolic benefits of exercise training. Here, we aimed to gain insight into the mechanisms responsible for such resistance to exercise in PCOS. We employed an in vitro approach with electrical pulse stimulation (EPS) of cultured skeletal muscle cells to explore whether myotubes from women with PCOS have an altered gene expression signature in response to contraction. Following EPS, 4719 genes were differentially expressed (false discovery rate <0.05) in myotubes from women with PCOS compared to 173 in healthy women. Both groups included genes involved in skeletal muscle contraction. We also determined the effect of two transforming growth factor β (TGFβ) ligands that are elevated in plasma of women with PCOS, TGFβ1 and anti-Müllerian hormone (AMH), alone and on the EPS-induced response. While AMH (30 ng/ml) had no effect, TGFβ1 (5 ng/ml) induced the expression of extracellular matrix genes and impaired the exercise-like transcriptional signature in myotubes from women with and without PCOS in response to EPS by interfering with key processes related to muscle contraction, calcium transport and actin filament. Our findings suggest that while the fundamental gene expression responses of skeletal muscle to contraction is intact in PCOS, circulating factors like TGFβ1 may be responsible for the impaired adaptation to exercise in women with PCOS. KEY POINTS: Gene expression responses to in vitro contraction (electrical pulse stimulation, EPS) are altered in myotubes from women with polycystic ovary syndrome (PCOS) compared to healthy controls, with an increased expression of genes related to pro-inflammatory pathways. Transforming growth factor β1 (TGFβ1) upregulates genes related to extracellular matrix remodelling and reduces the expression of contractile genes in myotubes, regardless of the donor's health status. TGFβ1 alters the gene expression response to EPS, providing a possible mechanism for the impaired exercise adaptations in women with PCOS.

Indexed as

Polycystic Ovary SyndromeAdultAnti-Mullerian HormoneFemaleHumansMuscle Fibers, SkeletalTranscriptomeTransforming Growth Factor beta1Anti-Mullerian HormoneTransforming Growth Factor beta1electrical pulse stimulationmuscle contractionpolycystic ovary syndromeprimary myotubestranscriptomicstransforming growth factor β

Identifiers

PMID35760527
PMCPMC9544746
OpenAlexW4283662730

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.