Evidence map›Paper›PMID 38536564›Full record

ArticleSports medicine - open2024

Metabolic Consequences of Anabolic Steroids, Insulin, and Growth Hormone Abuse in Recreational Bodybuilders: Implications for the World Anti-Doping Agency Passport.

Filippo Giorgio Di Girolamo, Chiara Biasinutto, Alessandro Mangogna, Nicola Fiotti, Pierandrea Vinci, Rado Pisot, Filippo Mearelli, Bostjan Simunic, Chiara Roni, Gianni Biolo

Open access · goldAbstract read
In one paragraph

Article in Sports medicine - open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Systematic Review: Does Exercise Training Influence Ghrelin Levels?International journal of molecular sciences · 2025
    Pooled it
  2. Insulin-like growth factor receptor signaling in physiology and disease.Signal transduction and targeted therapy · 2026
    Review
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  5. Review
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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

10 authors at 4 institutions in 2 countries.

Filippo Giorgio Di GirolamoDepartment of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy. fgdigirolamo@units.it.
Chiara BiasinuttoSC Assistenza Farmaceutica e Territoriale, Azienda Sanitaria Universitaria Giuliano Isontina, - Trieste, Trieste, Italy.
Alessandro MangognaInstitute for Maternal and Child Health, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Burlo Garofolo, Trieste, Italy.
Nicola FiottiDepartment of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.
Pierandrea VinciUCO Clinica Medica, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Rado PisotScience and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia.
Filippo MearelliUCO Clinica Medica, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Bostjan SimunicUniversity of Primorska, Koper, Slovenia.
Chiara RoniSC Assistenza Farmaceutica e Territoriale, Azienda Sanitaria Universitaria Giuliano Isontina, - Trieste, Trieste, Italy.
Gianni BioloDepartment of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.
Azienda Sanitaria Universitaria Integrata di Trieste · ITUniversity of Trieste · ITIRCCS Materno Infantile Burlo Garofolo · ITUniversity of Primorska · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHormonal doping in recreational sports is a public-health concern. The World Anti-Doping Agency (WADA) promoted the creation of the Athlete Biological Passport, aiming to monitor athlete's biological variables over time to facilitate indirect detection of doping. Detection tests for anabolic androgenic steroids (AAS) and growth hormone (GH) are available while insulin abuse cannot be revealed. We have determined in recreational bodybuilders the metabolic effects associated with different patterns of hormone abuse. All analyses were conducted using Statistical Package for Social Sciences (SPSS) 21.0 software (SPSS Chicago, IL).

resultsWe have assessed plasma concentrations of selected metabolic markers and fatty acid content in erythrocyte membranes of 92 male bodybuilders and in 45 healthy controls. Hormonal abuse was identified by anonymous questionnaires. 43% (%) of recruited bodybuilders regularly abused hormones, i.e., anabolic androgenic steroids (95%) often associated with GH (30%) and/or insulin (38%). HDL-cholesterol was lower in insulin and/or GH abusers. Alanine (ALT) and aspartic (AST) transaminases were greater in hormone abusing bodybuilders than in non-doping bodybuilders and controls. Insulin doping was selectively associated with increased plasma ALT-to-AST ratio. In erythrocyte membranes, elongase activity (i.e., stearic-to-palmitic ratio) was lower in insulin and/or growth hormone doping, whereas increased Δ-9 desaturase activity (i.e., palmitoleic-to-palmitic ratio) was selectively associated with insulin doping.

conclusionsIn conclusion, our study demonstrates that insulin and GH abuse are characterized by multiple alterations of specific metabolic markers. Although further studies are needed to test whether longitudinal monitoring of selected metabolic marker such as muscle contraction time, HDL levels, ALT-AST ratio as well as the activities of selected enzymes (e.g. Δ-9 desaturase and elongase), could contribute to the detection of insulin and GH abuse in sport.

Indexed as

BodybuildersDopingDrug abuseMetabolism

Identifiers

PMID38536564
PMCPMC10973313
OpenAlexW4393221141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.