Nicholas D. Walter

This study reevaluates PaBQU and DBQU regimens in mouse models, finding they have lesional liability in complex lesions, which may explain their failure in a human trial.

This study compares M. tuberculosis physiology in high-dose and low-dose infection models, showing how adaptive immunity affects bacterial metabolism and drug efficacy.

The paper develops a predictive model to rank tuberculosis regimens by relapse prevention using 28-day CFU and RS ratio data from a relapsing mouse model.

This study compares delamanid and pretomanid, finding similar bactericidal activity but pretomanid more effectively inhibits M. tuberculosis ribosomal rRNA synthesis.

This study evaluates the CFU-16S rRNA gap in tuberculosis treatment models, finding that the discrepancy is partially due to residual 16S rRNA from dead bacteria and potential transient viable but non-culturable populations.

This study evaluates the forgiveness of TB drug combinations using a mouse model, finding BPaMZ is more forgiving of missed doses than RHZE/RH.

This study investigates the physiologic recovery of Mycobacterium tuberculosis in mice after antibiotic treatment, finding that recovery is slow, sequential, and incomplete, with longer treatment leading to slower recovery.

The paper uses SEARCH-TB to analyze drug interactions in M. tuberculosis by measuring transcriptional responses to the BPaL regimen in vivo, showing complex effects of drug combinations.

This study examines how prolonged antibiotic treatment affects M. tuberculosis physiology in mice, finding that sterilizing and non-sterilizing antibiotics induce distinct transcriptional responses.