Evidence map›Paper›PMID 41178061›Full record

ArticlePhysiological reports2025

Identifying overtraining biomarkers through proteomic analysis of extracellular vesicles derived from the central nervous system of male mice.

Dong Heon Yi, Eun Seon Hwang, Kang Eun Ko, Tae Yeon Kim, Yun Seo Cho, Ki Hoon Yook, Adelino S R da Silva, Hyo Youl Moon

Abstract read
In one paragraph

Article in Physiological reports, 2025. 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. Article
  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

8 authors.

Dong Heon YiDepartment of Physical Education, Seoul National University, Seoul, Korea.ORCID 0009-0008-4502-642X
Eun Seon HwangDepartment of Physical Education, Seoul National University, Seoul, Korea.
Kang Eun KoDepartment of Physical Education, Seoul National University, Seoul, Korea.
Tae Yeon KimDepartment of Physical Education, Seoul National University, Seoul, Korea.
Yun Seo ChoDepartment of Physical Education, Seoul National University, Seoul, Korea.
Ki Hoon YookDepartment of Physical Education, Seoul National University, Seoul, Korea.
Adelino S R da SilvaSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Hyo Youl MoonDepartment of Physical Education, Seoul National University, Seoul, Korea.ORCID 0000-0001-8207-1301

Funding

National Reasearch Foundation (NRF) of Korea 12266
6 · The paper itself

Abstract

Overtraining, which results in central nervous system (CNS)-fatigue-related symptoms, leads to a long-term decline in performance. This study investigated CNS-derived EV protein content under overtraining conditions to identify potential biomarkers. Eight-week-old C57BL/6J mice were randomly divided into three groups: sedentary (SED, n = 7), exercise control (EX, n = 8), and overtraining (OT, n = 9) groups. The OT group underwent an 8-week downhill treadmill-based overtraining induction protocol. Exercise capacity was assessed using the incremental load, exhaustion, grip strength, and rotarod tests, while motor deficits, depression and anxiety were assessed using the nest building test. Proinflammatory cytokines were measured in blood plasma, skeletal muscle, and brain tissue. CNS-derived EVs were isolated using a two-step EV isolation protocol. Isolated EVs underwent proteomic analyses. Mice exhibited a significant decrease in aerobic exercise capacity, high-intensity exercise tolerance, and muscular strength. OT increased quadriceps IL-6 and hypothalamic IL-1β/TNFα compared to EX. Plasma IL-2 levels tended to be higher in OT than in EX. Proteomic analysis of CNS-derived EVs revealed a decrease in lipid metabolism-related proteins and an increase in stress-related proteins. Valosin-containing proteins and catalase, which are upregulated in organs under oxidative stress, were increased. Therefore, CNS-derived EV protein contents indicated CNS fatigue under overtraining conditions.

Indexed as

Central Nervous SystemExtracellular VesiclesFatiguePhysical Conditioning, AnimalAnimalsBiomarkersCytokinesExercise ToleranceMaleMiceMice, Inbred C57BLMuscle, SkeletalMuscle StrengthProteomicsBiomarkersCytokinesbiomarkerCNS‐fatigueextracellular vesicleovertrainingproteomic analysis

Identifiers

PMID41178061
PMCPMC12580405

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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.