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Record W4405114971 · doi:10.1002/jev2.70009

Advancing research on parasitic infections: Standardized extracellular vesicle guideline

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

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Extracellular Vesicles · 2024
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsExtracellular vesiclesBiologyParasitic diseaseDiseaseImmunologyMedicinePathology

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.360
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it