Evidence map›Paper›PMID 37156970›Full record

ArticlePflugers Archiv : European journal of physiology2023

Endurance-dependent urinary extracellular vesicle signature: shape, metabolic miRNAs, and purine content distinguish triathletes from inactive people.

Tiziana Pietrangelo, Carmen Santangelo, Danilo Bondi, Paolo Cocci, Raffaela Piccinelli, Francesco Piacenza, Enrica Rosato, S N Afifa Azman, Enrico Binetti, Marco Farina and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Pflugers Archiv : European journal of physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Non-coding RNAs in exercise immunology: A systematic review.Journal of sport and health science · 2024
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
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

19 authors at 7 institutions in 1 country.

Tiziana PietrangeloDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Carmen SantangeloDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Danilo BondiDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy. danilo.bondi@unich.it.
Paolo CocciSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Raffaela PiccinelliResearch Centre for Food and Nutrition, Council for Agricultural Research and Economics, Roma, Italy.
Francesco PiacenzaIRCCS-Istituto Nazionale di Riposo e Cura per Anziani, Polo Scientifico e Tecnologico, Centro di Tecnologie Avanzate nell'Invecchiamento, Ancona, Italy.
Enrica RosatoDepartment of Pharmacy, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
S N Afifa AzmanDepartment of Information Engineering, Polytechnic University of Marche, Ancona, Italy.
Enrico BinettiCenter for Biomolecular Nanotechnologies, Italian Institute of Technology, Lecce, Italy.
Marco FarinaDepartment of Information Engineering, Polytechnic University of Marche, Ancona, Italy.
Marcello LocatelliDepartment of Pharmacy, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Virgilio BrunettiCenter for Biomolecular Nanotechnologies, Italian Institute of Technology, Lecce, Italy.
Cinzia Le DonneResearch Centre for Food and Nutrition, Council for Agricultural Research and Economics, Roma, Italy.
Lorenzo MarramieroDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Ester Sara Di FilippoDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Vittore VerrattiDepartment of Psychological, Health and Territorial Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Stefania FulleDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Valentina ScolloDepartment of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Francesco PalermoSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
University of Chieti-Pescara · ITCereal Research Centre · ITMarche Polytechnic University · ITUniversità di Camerino · ITCenter for Biomolecular Nanotechnologies · ITItalian Institute of Technology · ITTecnologie Avanzate (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) enriched with bioactive molecules have gained considerable attention in nanotechnology because they are critical to intercellular communication while maintaining low immunological impact. Among biological matrices, urine has emerged as a noninvasive source of extracellular-contained liquid biopsy, currently of interest as a readout for physiological adaptations. Therefore, we aimed to evaluate chronic adaptations of endurance sport practice in terms of urinary EV parameters and evaluated by food consumption assessment. Two balanced groups of 13 inactive controls vs. triathlon athletes were enrolled; their urinary EVs were obtained by differential ultracentrifugation and analyzed by dynamic light scattering and transmission electron and atomic force microscopy. The cargo was analyzed by means of purine and miRNA content through HPLC-UV and qRT-PCR. Specific urinary EV signatures differentiated inactive versus endurance-trained in terms of peculiar shape. Particularly, a spheroid shape, smaller size, and lower roughness characterize EVs from triathletes. Metabolic and regulatory miRNAs often associated with skeletal muscle (i.e., miR378a-5p, miR27a-3p, miR133a, and miR206) also accounted for a differential signature. These miRNAs and guanosine in urinary EVs can be used as a readout for metabolic status along with the shape and roughness of EVs, novel informative parameters that are rarely considered. The network models allow scholars to entangle nutritional and exercise factors related to EVs' miRNA and purine content to depict metabolic signatures. All in all, multiplex biophysical and molecular analyses of urinary EVs may serve as promising prospects for research in exercise physiology.

Indexed as

Body FluidsExtracellular VesiclesMicroRNAsUrinary TractHumansPurinesMicroRNAsMIRN206 microRNA, humanPurinesEVsGuanosineMicroscopymiRNAPhysical exerciseUrine

Identifiers

PMID37156970
PMCPMC10185655
OpenAlexW4375858858

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.