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Nanotechnology approaches for fungal diseases

2021· article· ru· W7117440004 sur OpenAlexaboutno aff
Olga Burduniuc

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Langueru
DomaineMaterials Science
ThématiqueNanoparticles: synthesis and applications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAntifungalScientific literatureScientific evidenceApplications of nanotechnologyNoveltyScientific progressHuman health
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction. Diseases caused by fungi affect millions of people every year worldwide and most of these infections requiring hospitalization and advanced treatment. Therefore, well-timed and appropriate laboratory diagnostic, treatment of invasive fungal infections (IFIs) are major importance in the management of these diseases. The analyzed scientific studies highlighted that despite the drug availability on the market aimed to treat these infections, their efficiency is arguable, while their side effects cannot be significant. As for the drawbacks of the available drugs, these are related to their physical-chemical properties Antifungal medicine is usually of hydrophobic character meaning they have poor solubility in water. Both issues lead to limitations in terms of their efficacy and efficiency within the clinical settings. Therefore, scientific studies on development of new antifungal compounds are urgently required. The purpose of the study was to carry out an analysis of the specialized literature related to nanotechnology approaches for fungal diseases, a new emerging novelty in treatment of IFIs. Material and methods. The study is based on 45 literature sources written by foreign authors (from USA, Italy, Germany, Canada, Spain, Romania etc.). Most publications come from highly developed countries. The bibliographic search was performed on the evidence-based sources, on the mostly relevant databases – such as PubMed, HINARI, Google Scholar. The filter for the publication date has been set for the last 10 years. Results. Over the recent decades, a specific scientific interest was given to nanotechnology, which has become an extremely well-known and researched domain. The high incidence of fungal infections has become a worrisome public health issue. The major issue among these is the resistance to antifungals, an increasing hazard for the effective treatment of IFI, which make therapy difficult sometimes even impossible. Late diagnosis and delayed treatment are the top causes for the high morbidity and mortality rates of IFIs. A number of studies reported challenges in using antifungals including but not limited to diminished efficacy of medication, limited drug penetration through tissue, low solubility in water, decreased bioavailability, and poor drug pharmacokinetic properties. Apart from the physical-chemical limitations, the low number of available antifungal agents is also accompanied by their toxicity and high resistance. Currently, the treatment approach for IFIs is rather limited and includes three main classes of drugs, such as polyenes, azoles, and echinocandins. Considering that there is a stringent need for alternatives in treatment of invasive fungal infections, it is believed that nanostructured systems are the solution, since they could be excellent carriers for antifungal drugs. Studies that investigated the innovative therapeutic techniques via nanotechnology and medically important fungi have established that there are compelling enhancements in the antifungal properties, such as bioavailability, toxicity, and target tissue for some antifungal drugs. Conclusions. In conclusion, there is an obvious requirement for new therapeutic alternatives for IFIs due to the low number of drugs and their high resistance to antifungal agents, mainly in medically relevant fungi. The well-timed and adequate pathogen detection is decisive for disease management and prevention of drug resistance, thus aiding in the prevention of therapeutic failures and death in case of invasive fungal infections. There is an urgent need for cutting-edge and cost-effective nanotechnologies providing management of fungal diseases, which are considered challenging issues facing today’s health systems.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,064

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0080,006
Études des sciences et des technologies0,0010,001
Communication savante0,0040,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0190,006

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 Opus0,340
Tête enseignante GPT0,521
Écart entre enseignants0,181 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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