Mechanistic insights into the activity of Benzoxaboroles against <i>Cryptosporidium parvum</i> : CPSF3 targeting and resistance implications
Notice bibliographique
Résumé
Abstract Benzoxaboroles are emerging as promising treatments against a broad range of protozoan parasites, including Trypanosoma , Leishmania , Plasmodium , Toxoplasma , and Cryptosporidium . We previously demonstrated that the benzoxaborole compound AN3661 inhibits the endonuclease activity of CPSF3 in Cryptosporidium hominis , likely by disrupting pre-mRNA processing, which in turn limits parasite growth. In this study, we further explored its mode of action and found that a specific mutation (Y385N) in CPSF3 of C. parvum confers strong resistance to AN3661. Interestingly, this mutation does not affect the parasite’s sensitivity to two other benzoxaboroles, AN13762 and AN7973, which are also thought to target Cp CPSF3. All three compounds interfered with mRNA processing in C. parvum , consistent with inhibition of CPSF3 complex activity, and showed parasiticidal activity, especially during the late stages of merogony, blocking parasite egress. Two of them also impaired gamogony. In T. gondii , AN7973 remained effective against several strains carrying mutations within TgCPSF3 that confer resistance to AN3661 and AN13762, suggesting that it might represent an alternative chemotype targeting CPSF3 with the potential to overcome resistance. Notably, AN7973 successfully controlled severe infection in susceptible mice challenged with the AN3661-resistant C. parvum strain carrying the CpCPSF3 Y385N mutation. Finally, we extended the known antiparasitic spectrum of AN3661 and AN7973 to include Eimeria tenella and Giardia duodenalis , two important pathogens in veterinary and human health. Altogether, our findings refine the understanding of CPSF3-targeting benzoxaboroles, identify alternative chemotypes with the potential to bypass resistance, and support their potential use in combination therapies to delay or prevent the emergence of drug resistance. Author summary Protozoa are single-celled parasites that cause significant morbidity and mortality worldwide, affecting both humans and animals. The development of new targeted therapies with highly selective compounds requires a detailed understanding of their mode of action and precise interactions with parasite targets. Benzoxaboroles are a potent class of molecules active against Cryptosporidium , with compound AN3661 known to inhibit the endonuclease activity of the Cleavage and Polyadenylation Specificity Factor 3 (CPSF3) in Cryptosporidium hominis . Here, we show that this inhibitory effect is critical during both asexual and sexual developmental stages and that tyrosine at position 385 of C. parvum CPSF3 plays a key role in its inhibition. A mutation at this site confers resistance to AN3661 both in vitro and in vivo , but not to two other benzoxaboroles, AN13762 and AN7973. Notably, all three compounds disrupted pre-mRNA processing in Cryptosporidium , consistent with inhibition of the CPSF3 complex. Using Toxoplasma , a related protozoan that allows more efficient genetic manipulation, we found that none of the six mutations conferring resistance to compounds AN3661 and AN13762 conferred resistance to compound AN7973. AN7973, which strongly inhibits both C. parvum and T. gondii , may therefore represent an alternative chemotype targeting CPSF3. Furthermore, we demonstrated that the antiparasitic spectrum of AN3661and AN7973 extends to include E. tenella and G. duodenalis , two important pathogens in veterinary and human health. Altogether, our results refine the understanding of three CPSF3-targeting benzoxaboroles in Cryptosporidium and identify compound AN7973 as capable of overcoming resistance to AN3661, thereby supporting the rationale for combination therapies to prevent the emergence of drug resistance.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».