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Enregistrement W4405114971 · doi:10.1002/jev2.70009

Advancing research on parasitic infections: Standardized extracellular vesicle guideline

2024· editorial· en· W4405114971 sur OpenAlex
Carmen Fernández-Becerra, Patrícia Xander, Martin Olivier, Ana Cláudia Torrecilhas

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Notice bibliographique

RevueJournal of Extracellular Vesicles · 2024
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueExtracellular vesicles in disease
Établissements canadiensMcGill University Health Centre
Organismes subventionnairesnon disponible
Mots-clésExtracellular vesiclesBiologyParasitic diseaseDiseaseImmunologyMedicinePathology

Résumé

récupéré en direct d'OpenAlex

Parasitic diseases (protozoan and helminths parasites) stand as a significant global health challenge, affecting over a billion people worldwide and claiming millions of lives annually. At the heart of these diseases lie parasites, which instigate a myriad of neglected tropical and infectious diseases. Despite their significant impact on public health, these diseases present challenges in diagnosis, treatment and prevention, largely due to the complex life cycles of the parasites and the intricate nature of host–parasite interactions. In recent years, the emergence of extracellular vesicles (EVs) as a topic of study has revolutionized our understanding of parasitic infections. These tiny vesicles, secreted by pathogenic protozoa and helminths parasites or infected cells, engage in crucial interactions with host cells, dictating the course of infection and disease progression. These interactions encompass a spectrum of activities crucial for the parasite's survival, including facilitating infection, modulating the host immune response, enhancing host adaptability and transferring factors that confer drug resistance. As conduits of communication between parasites and hosts, EVs hold immense potential as biomarkers for asymptomatic infections and as prognostic indicators for disease outcomes post-therapy. However, despite the burgeoning interest in EVs, current methodologies for isolating, sizing and characterizing these vesicles often lack the requisite rigor, standardization and quality controls. Recognizing this gap, efforts are underway to establish comprehensive standards drawn from a growing collective understanding. The journey towards understanding parasite-derived EVs has been marked by collaborative efforts and interdisciplinary dialogues. Workshop titled “Cross-Organism Communication by Extracellular Vesicles: Hosts, Microbes, Parasites (https://doi.org/10.1080/20013078.2017.1407213) organized by the International Society for Extracellular Vesicles (ISEV) workshop in 2016 - São Paulo Brazil” have served as platforms for high-level scientific discussions, exploring the nature, origin, and potential applications of EVs in infectious diseases. These gatherings underscore the need for standardized protocols and techniques for the purification and characterization of EVs, taking into account the unique characteristics of each parasite species and strain. Our recently published guideline in the Journal of Extracellular Biology (Fernandez-Becerra et al., 2023), titled “Guidelines for the Purification and Characterization of Extracellular Vesicles of Parasites,” marks a big step forward in this effort. The guideline, written by 31 scientists from around the world, offers a structured framework for isolating, characterizing and investigating EVs obtained from parasite-infected cell cultures, experimental animals and patients. This editorial aims to highlight the significance of the guideline and the potential impact on advancing research in parasitology. The work is organized into sections that address key technical issues encountered in the field of parasite-derived EVs research. From isolation and purification methods to molecular characterization and functional assays, the guidelines offer detailed protocols and recommendations to ensure standardized practices and comparative analysis. By promoting transparency and sharing of insights, these guidelines aim to enhance the reliability and reproducibility of EV-related research in parasitic diseases. Moreover, the guideline underscores the importance of understanding the diverse array of parasites and their unique characteristics. From taxonomic overviews to specific methodologies for different parasites, moreover provides a comprehensive overview of EV research in the context of parasitic diseases. By addressing challenges such as EV isolation and characterization, the guidelines aim to unlock new insights into the mechanisms of parasite illnesses and pave the way for innovative therapeutic interventions. In conclusion, the establishment of standardized guidelines for parasitic EV research represents a significant milestone in our understanding of parasitic diseases. By fostering collaboration and common understanding, these guidelines provide a solid foundation for advancing research in this critical field. As we continue to unravel the complexities of parasite–host interactions, the guidelines serve as a roadmap for driving progress and improving health outcomes worldwide. The authors have nothing to report.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,295
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0100,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,360
Écart entre enseignants0,342 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle