Evidence map›Paper›PMID 40465195›Full record

ArticleClinical and translational medicine2025

Extracellular vesicle proteomics uncovers energy metabolism, complement system, and endoplasmic reticulum stress response dysregulation postexercise in males with myalgic encephalomyelitis/chronic fatigue syndrome.

Katherine A Glass, Ludovic Giloteaux, Sheng Zhang, Maureen R Hanson

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Katherine A GlassDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
Ludovic GiloteauxDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
Sheng ZhangProteomics and Metabolomics Facility, Institute of Biotechnology, Cornell University, Ithaca, New York, USA.
Maureen R HansonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0001-8141-3058

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Research CoreU54AI178855 · NIAID · CORNELL UNIVERSITY · PI ANDREW W GRIMSON, MAUREEN REBECCA HANSON · 2023 to 2026
$9.4M
Probing the Pathophysiology of ME/CFS through Proteomics and MetabolomicsU54NS105541 · NINDS · CORNELL UNIVERSITY · PI GRIMSON, ANDREW W · 2017 to 2021
$9.4M
NCATS NIH HHS UL1 TR002384NIAID NIH HHS U54 AI178855NINDS NIH HHS U54 NS105541
6 · The paper itself

Abstract

backgroundMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating illness characterized by post-exertional malaise (PEM), a worsening of symptoms following exertion. The biological mechanisms underlying PEM remain unclear. Extracellular vesicles (EVs) play a key role in cell-cell communication and may provide insight into ME/CFS pathophysiology post-exertion. Emerging evidence suggests similarities between ME/CFS and Long COVID, including PEM and overlapping immune and metabolic dysfunctions, highlighting the need for deeper mechanistic understanding.

methodsThis study explores the EV proteome response to exercise in 10 males with ME/CFS and 12 well-matched sedentary male controls. Participants underwent a maximal cardiopulmonary exercise test, and plasma samples were collected at baseline, 15 min, and 24 h postexercise. EVs were isolated from plasma using size-exclusion chromatography and characterized with nanoparticle tracking analysis. EV protein abundance was quantified with untargeted proteomics (nanoLC-MS/MS). Comprehensive analyses included differential abundance, pathway enrichment, protein-protein interaction networks, and correlations between EV protein dynamics and clinical or exercise physiology data.

resultsME/CFS patients exhibited many significantly altered EV proteomic responses compared with controls, including downregulation of TCA cycle-related proteins and upregulation of complement system proteins at 15 min postexercise. Changes in proteins involved in protein folding and the endoplasmic reticulum (ER) stress response during recovery were highly correlated with PEM severity, highlighting their potential as therapeutic targets. EV protein changes postexercise were also associated with disease severity and unrefreshing sleep. Correlations between EV protein levels and the exercise parameters VO₂ peak and ventilatory anaerobic threshold were observed in controls but were absent in ME/CFS patients, suggesting disrupted EV-mediated physiological processes.

conclusionsME/CFS patients exhibit a maladaptive EV proteomic response to exercise, characterized by metabolic impairments, immune overactivation, and ER stress response dysregulation. These findings provide insight into the molecular basis of PEM and suggest promising targets for improving recovery and energy metabolism in ME/CFS. KEY POINTS: EVs were isolated from plasma of ME/CFS patients and healthy controls at baseline, and 15 min and 24 h postexercise. Untargeted proteomics revealed dysregulation in energy metabolism, the complement system, and the endoplasmic reticulum stress response. Changes in EV protein levels postexercise are associated with post-exertional malaise. These findings suggest promising therapeutic targets for post-exertional malaise and ME/CFS pathophysiology.

Indexed as

Complement System ProteinsEndoplasmic Reticulum StressEnergy MetabolismExerciseExtracellular VesiclesFatigue Syndrome, ChronicAdultHumansMaleMiddle AgedProteomicsComplement System Proteinschronic fatigue syndromecomplementexerciseextracellular vesicle cargoME/CFSmyalgic encephalomyelitisproteomics

Identifiers

PMID40465195
PMCPMC12135887

What Socratic holds

Textmetadata
LicenceCC BY
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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.