MétaCan
Menu
Retour à la cohorte
Enregistrement W3014378108 · doi:10.1002/phar.2395

Therapeutic Potential for Tetracyclines in the Treatment of COVID‐19

2020· letter· en· W3014378108 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueSARS-CoV-2 and COVID-19 Research
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésDoxycyclineMatrix metalloproteinaseViral replicationMinocyclineVirusAntibioticsTetracyclineVirologyBiologyMicrobiologyChemistryBiochemistry

Résumé

récupéré en direct d'OpenAlex

Currently, there is a race against time to identify prophylactic and therapeutic treatments against COVID-19. Until these treatments are developed, tested, and mass produced, it might be prudent to look into existing therapies that could be effective against this virus. Based on the available evidence, we believe tetracyclines may be effective agents in the treatment of COVID-19. Tetracyclines (e.g., tetracycline, doxycycline, and minocycline) are highly lipophilic antibiotics that are known to chelate zinc compounds on matrix metalloproteinases (MMPs).1 Coronaviruses are also known to rely heavily on host MMPs for survival, cell infiltration, cell-to-cell adhesion, and replication, many of which have zinc as part of their MMP complex.2, 3 It is possible that the zinc-chelating properties of tetracyclines may also aid in inhibiting COVID-19 infection in humans, limiting their ability to replicate within the host. Tetracyclines might also be able to inhibit RNA replication on positive-sense single-stranded RNA, like COVID-19. For example, one study deduced a mechanism discerning how doxycycline could potentially treat the dengue virus. They also showed that at normal human body temperature and fever conditions, doxycycline significantly inhibited the virus’s own serine protease as well as noting a concentration-dependent decrease in viral replication.4 They also found that doxycycline inhibited the postinfection replication in addition to reducing the virus’s ability to enter the cultured cells.4 Another study showed that retroviral load was decreased by 70% when cells were treated with doxycycline at human body temperature.5 Second, tetracyclines may be able to treat COVID-19 infection through their well-known antiinflammatory capabilities including downregulation of the nuclear factor–κ B pathway as well as a decrease in levels of inflammatory cytokines such as tumor necrosis factor-α, interleukin (IL)-1β, and IL-6 independent of its antibiotic mechanism.6 It was shown that these cytokines are significantly elevated when the severe acute respiratory syndrome–associated coronavirus (SARS-CoV) is exposed to lung tissue in addition to exacerbating the pathogenesis of the infection itself.7 Furthermore, a recent publication indicated that coronaviruses, irrespective of the species of coronavirus, induce the proliferation of mast cells within the respiratory submucosa, which in turn produces inflammatory agents such as histamine and protease in addition to inflammatory cytokines such as IL-1 and IL-33.8 Two other studies showed that chemically modified tetracyclines can induce apoptosis of mast cells and activation of protein kinase C, thus decreasing levels of circulating inflammatory agents.9, 10 All three groups of investigators suggested that tetracyclines can be used to treat inflammatory disorders including that induced by coronaviruses.8-10 It is also worth noting that due to their antiinflammatory capabilities, tetracyclines were also documented to have the potential to treat other viral infections such as human immunodeficiency virus, West Nile virus, and viral encephalitis.11 Third, it is well known that the COVID-19 virus has a lipophilic outer shell. The lipophilic nature and high tissue penetration in the lungs of the tetracyclines might allow them to inhibit viral replication in the lungs and, along with their antiinflammatory activity, play an important role as therapeutic agents in the treatment of COVID-19. Given that a significant number of patients infected with COVID-19 develop complicated pneumonia or acute respiratory distress syndrome (ARDS), tetracyclines might alleviate hospital load and decrease death due to these complications. The recommendation of using tetracyclines as treatment for coronaviruses such as SARSr-CoV was previously suggested, given that chemically modified tetracyclines can prevent septic shock induced by ARDS.12 We believe tetracyclines can be potential therapeutic agents for COVID-19 that is hiding in plain sight. Moreover, tetracyclines overall are much safer agents than other potential agents that have been considered to treat COVID-19, such as chloroquine or antiretroviral drugs. We strongly urge international research groups to consider investigating the potential therapeutic efficacy of tetracycline antibiotics in treating COVID-19.

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,436
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
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 Opus0,084
Tête enseignante GPT0,436
Écart entre enseignants0,352 · 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