Oxidative damage and delayed replication allow viable Mycobacterium tuberculosis to go undetected.

"Viable but nonculturable" states of bacteria pose challenges for environmental and clinical microbiology, but their biological mechanisms remain obscure. Mycobacterium tuberculosis (Mtb), the leading cause of death from infection until the coronavirus disease 2019 pandemic, affords a notable example of this phenotype. Mtb can enter into a "differentially detectable" (DD) state associated with phenotypic antimicrobial resistance. In this state, Mtb cells are viable but undetectable as colony-forming units. We found that Mtb cells enter the DD state when they undergo sublethal oxidative stress that damages their DNA, proteins, and lipids. In addition, their replication process is delayed, allowing time for repair. Mycobacterium bovis and its derivative, BCG, fail to enter the DD state under similar conditions. These findings have implications for tuberculosis latency, detection, relapse, treatment monitoring, and development of regimens that overcome phenotypic antimicrobial resistance.

Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression.

With a rising incidence of COVID-19-associated morbidity and mortality worldwide, it is critical to elucidate the innate and adaptive immune responses that drive disease severity. We performed longitudinal immune profiling of peripheral blood mononuclear cells from 45 patients and healthy donors. We observed a dynamic immune landscape of innate and adaptive immune cells in disease progression and absolute changes of lymphocyte and myeloid cells in severe versus mild cases or healthy controls. Intubation and death were coupled with selected natural killer cell KIR receptor usage and IgM+ B cells and associated with profound CD4 and CD8 T-cell exhaustion. Pseudo-temporal reconstruction of the hierarchy of disease progression revealed dynamic time changes in the global population recapitulating individual patients and the development of an eight-marker classifier of disease severity. Estimating the effect of clinical progression on the immune response and early assessment of disease progression risks may allow implementation of tailored therapies.