Evidence map›Paper›PMID 37589512›Full record

ArticleExperimental physiology2023

Proteolytic markers associated with a gain and loss of leg muscle mass with resistance training followed by high-intensity interval training.

J Max Michel, Joshua S Godwin, Daniel L Plotkin, Paulo H C Mesquita, Mason C McIntosh, Bradley A Ruple, Cleiton A Libardi, C Brooks Mobley, Andreas N Kavazis, Michael D Roberts

Open access · diamondAbstract read
In one paragraph

Article in Experimental physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

10 authors at 2 institutions in 2 countries.

J Max MichelSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Joshua S GodwinSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Daniel L PlotkinSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Paulo H C MesquitaSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Mason C McIntoshSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Bradley A RupleSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Cleiton A LibardiDepartment of Physical Education, Federal University of Sao Carlos, Sao Carlos, Brazil.ORCID 0000-0002-9003-7610
C Brooks MobleySchool of Kinesiology, Auburn University, Auburn, AL, USA.
Andreas N KavazisSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Michael D RobertsSchool of Kinesiology, Auburn University, Auburn, AL, USA.ORCID 0000-0002-7359-5362
Auburn University · USUniversidade Federal de São Carlos · BR

Funding

G-RISE at Auburn UniversityT32GM141739 · NIGMS · AUBURN UNIVERSITY AT AUBURN · PI CLAYTON, TAFFYE BENSON, RUSSELL, MELODY L · 2021 to 2024
$1.2M
NIGMS NIH HHS T32 GM141739
6 · The paper itself

Abstract

We recently reported that vastus lateralis (VL) cross-sectional area (CSA) increases after 7 weeks of resistance training (RT, 2 days/week), with declines occurring following 7 weeks of subsequent treadmill high-intensity interval training (HIIT) (3 days/week). Herein, we examined the effects of this training paradigm on skeletal muscle proteolytic markers. VL biopsies were obtained from 11 untrained college-aged males at baseline (PRE), after 7 weeks of RT (MID), and after 7 weeks of HIIT (POST). Tissues were analysed for proteolysis markers, and in vitro experiments were performed to provide additional insights. Atrogene mRNAs (TRIM63, FBXO32, FOXO3A) were upregulated at POST versus both PRE and MID (P < 0.05). 20S proteasome core protein abundance increased at POST versus PRE (P = 0.031) and MID (P = 0.049). 20S proteasome activity, and protein levels for calpain-2 and Beclin-1 increased at MID and POST versus PRE (P < 0.05). Ubiquitinated proteins showed model significance (P = 0.019) with non-significant increases at MID and POST (P > 0.05). in vitro experiments recapitulated the training phenotype when stimulated with a hypertrophic stimulus (insulin-like growth factor 1; IGF1) followed by a subsequent AMP-activated protein kinase activator (5-aminoimidazole-4-carboxamide ribonucleotide; AICAR), as demonstrated by larger myotube diameter in IGF1-treated cells versus IGF1 followed by AICAR treatments (I+A; P = 0.017). Muscle protein synthesis (MPS) levels were also greater in IGF1-treated versus I+A myotubes (P < 0.001). In summary, the loss in RT-induced VL CSA with HIIT coincided with increases in several proteolytic markers, and sustained proteolysis may have driven this response. Moreover, while not measured in humans, we interpret our in vitro data to suggest that (unlike RT) HIIT does not stimulate MPS. NEW

findingsWhat is the central question of this study? Determining if HIIT-induced reductions in muscle hypertrophy following a period of resistance training coincided with increases in proteolytic markers. What is the main finding and its importance? Several proteolytic markers were elevated during the HIIT training period implying that increases in muscle proteolysis may have played a role in HIIT-induced reductions in muscle hypertrophy.

Indexed as

High-Intensity Interval TrainingResistance TrainingHumansHypertrophyLegMaleMuscle, SkeletalProteasome Endopeptidase ComplexProteolysisYoung AdultProteasome Endopeptidase Complexautophagycalpainsproteolysisskeletal muscleubiquitin

Identifiers

PMID37589512
PMCPMC10543615
OpenAlexW4385897537

What OpenQuestion holds

Textmetadata
LicenceTDM
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.