Evidence map›Paper›PMID 37138349›Full record

ArticleBMC medical genomics2023

An observational human study investigating the effect of anabolic androgenic steroid use on the transcriptome of skeletal muscle and whole blood using RNA-Seq.

Alexander Kolliari-Turner, Giscard Lima, Guan Wang, Fernanda Rossell Malinsky, Antonia Karanikolou, Gregor Eichhorn, Kumpei Tanisawa, Jonathan Ospina-Betancurt, Blair Hamilton, Paulette Y O Kumi and 13 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

23 authors.

Alexander Kolliari-TurnerSchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK.ORCID 0000-0002-2469-7645
Giscard LimaSchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK.ORCID 0000-0003-3781-9522
Guan WangSchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK.ORCID 0000-0002-7432-7933
Fernanda Rossell MalinskySchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK.
Antonia KaranikolouSchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK.
Gregor EichhornSchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK.
Kumpei TanisawaFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.ORCID 0000-0002-9334-7104
Jonathan Ospina-BetancurtFaculty of Education, University of Valladolid, Soria, Spain.ORCID 0000-0001-7999-9221
Blair HamiltonSchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK.ORCID 0000-0001-7412-1188
Paulette Y O KumiCentre for Sports and Exercise Medicine, William Harvey Research Institute, Queen Mary University of London, London, UK.ORCID 0000-0002-5057-995X
Jonathan ShurlockSomerset NHS Foundation Trust, Taunton, UK.ORCID 0000-0001-8681-6534
Vasileios SkiadasUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK.
Richard Twycross-LewisSchool of Engineering and Materials Science, Queen Mary University of London, London, UK.ORCID 0000-0001-9564-333X
Liam KilduffApplied Sports, Technology, Exercise, and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, Swansea, Wales.ORCID 0000-0001-9449-2293
Renan Paulo MartinDepartment of Biophysics, Federal University of Sao Paulo, Sao Paulo, Brazil.ORCID 0000-0002-6747-8784
Garrett I AshVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0002-8655-7525
Cynthia PotterMGI, Riga, Latvia.
Fergus M GuppyCentre for Stress and Age-Related Disease, University of Brighton, Brighton, UK.ORCID 0000-0002-8526-9169
Jane T SetoMuscle Research, Murdoch Children's Research Institute, Parkville, VIC, Australia.ORCID 0000-0003-2864-6199
Chiara FossatiDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.ORCID 0000-0002-2870-7185
Fabio PigozziDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.ORCID 0000-0001-5808-9405
Paolo BorrioneDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.ORCID 0000-0003-0506-169X
Yannis PitsiladisSchool of Sport and Heath Sciences, University of Brighton Welkin House, 30 Carlisle Road, Eastbourne, BN20 7SN, UK. Y.Pitsiladis@brighton.ac.uk.ORCID 0000-0001-6210-2449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effects of Anabolic Androgenic Steroids (AAS) are largely illustrated through Androgen Receptor induced gene transcription, yet RNA-Seq has yet to be conducted on human whole blood and skeletal muscle. Investigating the transcriptional signature of AAS in blood may aid AAS detection and in muscle further understanding of AAS induced hypertrophy.

methodsMales aged 20-42 were recruited and sampled once: sedentary controls (C), resistance trained lifters (RT) and resistance trained current AAS users (RT-AS) who ceased exposure ≤ 2 or ≥ 10 weeks prior to sampling. RT-AS were sampled twice as Returning Participants (RP) if AAS usage ceased for ≥ 18 weeks. RNA was extracted from whole blood and trapezius muscle samples. RNA libraries were sequenced twice, for validation purposes, on the DNBSEQ-G400RS with either standard or CoolMPS PE100 reagents following MGI protocols. Genes were considered differentially expressed with FDR < 0.05 and a 1.2- fold change.

resultsCross-comparison of both standard reagent whole blood (N = 55: C = 7, RT = 20, RT-AS ≤ 2 = 14, RT-AS ≥ 10 = 10, RP = 4; N = 46: C = 6, RT = 17, RT-AS ≤ 2 = 12, RT-AS ≥ 10 = 8, RP = 3) sequencing datasets, showed that no genes or gene sets/pathways were differentially expressed between time points for RP or between group comparisons of RT-AS ≤ 2 vs. C, RT, or RT-AS ≥ 10. Cross-comparison of both muscle (N = 51, C = 5, RT = 17, RT-AS ≤ 2 = 15, RT-AS ≥ 10 = 11, RP = 3) sequencing (one standard & one CoolMPS reagent) datasets, showed one gene, CHRDL1, which has atrophying potential, was upregulated in RP visit two. In both muscle sequencing datasets, nine differentially expressed genes, overlapped with RT-AS ≤ 2 vs. RT and RT-AS ≤ 2 vs. C, but were not differentially expressed with RT vs. C, possibly suggesting they are from acute doping alone. No genes seemed to be differentially expressed in muscle after the long-term cessation of AAS, whereas a previous study found long term proteomic changes.

conclusionA whole blood transcriptional signature of AAS doping was not identified. However, RNA-Seq of muscle has identified numerous differentially expressed genes with known impacts on hypertrophic processes that may further our understanding on AAS induced hypertrophy. Differences in training regimens in participant groupings may have influenced results. Future studies should focus on longitudinal sampling pre, during and post-AAS exposure to better control for confounding variables.

Indexed as

Anabolic AgentsAnabolic Androgenic SteroidsHumansMaleMuscle, SkeletalProteomicsRNA-SeqTestosterone CongenersTranscriptomeAnabolic AgentsAnabolic Androgenic SteroidsTestosterone CongenersAnabolic androgenic steroidsDopingGene expressionHypertrophy.RNA-SeqSkeletal muscleWhole blood

Identifiers

PMID37138349
PMCPMC10157927

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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.