A high-throughput anaerobic method for viability assays
Notice bibliographique
Résumé
ABSTRACT Viability testing for anaerobes is a time-consuming and expensive process, posing challenges for research and public health settings. Here, we present a rapid, economical, and reliable method for testing anaerobe viability using the Geometric Viability Assay (GVA) with Clostridium perfringens as our model, a bacterium known for causing toxin-related systemic and enteric diseases. This method is efficient and cost-effective, requiring one pipette tip per sample, and is compatible with the economical anaerobic jar system. The results align with traditional plate-based assays in terms of colony-forming unit (CFU) measurements. Anaerobic GVA has low technical bias and a dynamic range extending over 5 orders of magnitude. In addition, our method determined the bactericidal activity of antibiotics in a dose-dependent manner, when an antibiotic sensitivity testing (AST) was performed with a panel of four antibiotics (ampicillin, gentamicin, meropenem, and tetracycline). Furthermore, the minimum concentrations for complete bactericidal activity (MBC) of four clinical isolates were determined and the MBC concentration for tetracycline was up to 8× higher than the concentration for complete growth inhibition (MIC). Additional tests involving Clostridium bifermentans and Clostridium sporogenes demonstrated the generality of our method for other anaerobic species. Beyond viability testing, the GVA measured spore concentrations of various Clostridium perfringens isolates, showing consistency with classical plating methods. Our study confirms that the anaerobic GVA is a valuable tool for rapid, accurate viability screening in anaerobic settings and is compatible with routine assays, such as AST and spore screening. This method enhances the scalability and utility of anaerobic viability-based assays. IMPORTANCE The routine assessment for the viability of anaerobes is based on bacterial plating, but so far, it has been limited in throughput by the long preparation steps and the tedious anaerobic culturing. Thus, comparatively little is known about the susceptibility pattern, and the sporulation of anaerobes because of the absence of the proper method. Here, we show GVA can quantify the anaerobic Clostridiums colonies accurately by utilizing an anaerobic jar to measure viable cells and spores in high throughput with minimal volumes of reagents and at a comparable time to the traditional viability testing practice. Furthermore, this method enabled high-throughput detection of the bactericidal activity of the antibiotics against anaerobes and allowed for the quantification of hetero-tolerant/resistant subpopulation, which was previously unattainable. Our approach is rapid and easy to use, making it ideal for various applications where high-throughput capabilities can drive innovation, including drug-microbe interactions, host-microbe interactions, and microbe-microbe interactions.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
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 tête enseignante, pas un consensus.
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