Search bioRxiv⌕ Search

Biology subjects

Ehrt, S.

Publications and source records attributed to Ehrt, S..

At least 19 recordsLinked to original sources

Non-canonical peptidoglycan cross-linking is essential for Mycobacterium tuberculosis acid resistance

Mycobacterium tuberculosis withstands acidic conditions to survive and replicate within macrophages. To define the genetic determinants of this adaptation, we performed a transposon screen in a lipid-rich, acidic medium that mimics the host environment and supports robust M. tuberculosis growth. This screen identified ldtB, encoding an L,D-transpeptidase, as essential for growth and survival under acid stress. Loss of LdtB decreased 3-3 peptidoglycan cross-linking, disrupted cell wall architecture, and impaired intrabacterial pH homeostasis, resulting in increased susceptibility to cell wall-active antibiotics. Notably, M. tuberculosis lacking LdtB displayed heightened sensitivity to meropenem within macrophages, suggesting that targeting this enzyme could potentiate {beta}-lactam efficacy during infection. These findings establish LdtB as a key mediator linking peptidoglycan homeostasis to acid stress resistance and underscores the importance of in vitro culture models that recapitulate the host microenvironment for uncovering new in vivo active therapeutic targets. TeaserDisabling a key peptidoglycan cross-linking enzyme compromises M. tuberculosis survival under acidic stress and antibiotic exposure.

microbiology↗

Metabolic control of drug resistance by a mycobacterial ion channel

Pyrazinamide (PZA) is a cornerstone of modern tuberculosis therapy, yet its context-dependent activity has obscured both its mode of action and resistance mechanisms. Using a host-mimicking culture system integrated with genome-wide CRISPRi profiling, metabolomics, and comparative genomics, we identify a previously unrecognized driver of PZA resistance in humans: loss of the ion channel Rv2571c. Rv2571c mediates -ketoglutarate efflux, amplifying PZA-induced cytoplasmic acidification under host-relevant acidic conditions. Loss-of-function mutations confer resistance in vitro and in vivo and are under positive selection in clinical isolates, establishing this pathway as a resistance determinant in patients. Together, these findings define a novel, ion channel-mediated resistance mechanism, establish cytoplasmic acidification as the basis of PZA killing, and inform resistance detection and treatment-shortening drug development.

microbiology↗

Rv3400 is a phosphoglucomutase required for trehalose metabolism in Mycobacterium tuberculosis

Mycobacterium tuberculosis is a global killer causing over a million deaths from tuberculosis (TB) every year. It is therefore a major burden on human health. To reduce the deadly impact of TB, we need a better understanding of the strategies used by M. tuberculosis to adapt its metabolism to survive and persist in the human host. This will help us design better strategies for TB treatment and control. Previous enzymological studies have reported the Mtb rv3400 gene as encoding a {beta}-phosphoglucomutase; however, its role in M. tuberculosis metabolism was not investigated. In the present study, we show that deletion of rv3400 leads to a 30-fold increase in {beta}-D-glucose 1-phosphate, confirming its primary function as a {beta}-phosphoglucomutase. Additionally, deletion of rv3400 leads to a growth defect when trehalose is the sole carbon source indicting that this enzyme is required for optimal use of trehalose, an essential disaccharide in mycobacteria. ImportanceTrehalose metabolism plays a corner stone in Mycobacterium tuberculosis physiology and virulence. Hence, a better understanding of the metabolism of this essential disaccharide is required to develop novel strategies to eradicate Tuberculosis. Here we report on the characterisation of the strain lacking a {beta}-phosphoglucomutase, encoded by the gene rv3400. We show that deletion of rv3400 leads to an increase of {beta}-D-glucose 1-phosphate and a growth defect when using trehalose as sole carbon source. Taken together, the data presented here provide evidence that Rv3400 is required for the catabolism of trehalose.

microbiology↗

Interstitial macrophages prevent tuberculosis relapse by restricting Mycobacterium tuberculosis immune evasion

Alveolar macrophages (AMs) are the first immune cells to encounter Mycobacterium tuberculosis (Mtb) in the lungs, but they frequently fail to eliminate this causative agent of tuberculosis (TB), allowing Mtb to persist or replicate. Interstitial macrophages (IMs) are recruited to restrict Mtb growth and limit immune evasion. While IMs have been implicated in the control of acute Mtb infection, their role during latent tuberculosis infection (LTBI) has not yet been explored. We hypothesized that IMs contribute to maintaining latency and that their depletion during LTBI would promote Mtb reactivation, leading to TB relapse and disease. To test this, we utilized our previously established mouse model of paucibacillary Mtb infection that mimics aspects of LTBI in humans to selectively deplete IMs during the latent phase. IM depletion led to TB relapse in 26% of mice compared to 2% in control mice. The transitory depletion of this macrophage subset transiently affected both pulmonary macrophage and neutrophil populations. Mice that relapsed exhibited an increased proportion of pro-inflammatory IMs and elevated concentrations of G-CSF, GM-CSF, IL3, IL-12, IL-13, IL-17A and KC in the lung. These findings indicate that IMs play a critical role in controlling latent Mtb and preventing TB relapse.

immunology↗

A periplasmic protein complex mediates cell envelope integrity and intrinsic multidrug resistance in Mycobacterium tuberculosis

The intrinsic drug resistance of Mycobacterium tuberculosis (Mtb) is a major barrier to effective tuberculosis (TB) treatment, largely due to its complex, impermeable cell envelope. We identified a periplasmic protein complex comprising FecB and Rv3035 that is essential for maintaining envelope integrity and mediating intrinsic multidrug resistance in Mtb. FecB interacts with Rv3035, forming a stable heterodimer that associates with the cell envelope biosynthesis protein AftB. We report the structures of Rv3035 alone and in complex with FecB and identify critical residues for complex formation and function. Co-essentiality and genetic interaction analyses support a functional link between FecB, Rv3035 and AftB, an arabinofuranosyltransferase which synthesizes arabinogalactan and lipoarabinomannan. Loss of FecB or Rv3035 disrupted AftB-mediated arabinan synthesis, suggesting that these proteins support AftBs enzymatic activity. Importantly, FecB is required for Mtb virulence in mice, underscoring its physiological relevance. These findings highlight FecB, Rv3035 and AftB as promising therapeutic targets.

microbiology↗

Mycobacterial EtfD contains an unusual linear cluster and enables β-oxidation to drive proton pumping by the electron transport chain

In mycobacteria, the protein EtfD is thought to link {beta}-oxidation of fatty acids with the electron transport chain, two processes that have attracted attention as targets for therapeutics to treat tuberculosis (TB) and other mycobacterial infections. It has been proposed that targeting {beta}- oxidation could shorten treatment duration by killing non-replicating Mycobacterium tuberculosis within granulomas in the lungs. Here we show that Mycobacterium smegmatis, a fast growing and nonpathogenic model for energy metabolism in M. tuberculosis, relies on EtfD for extracting energy from {beta}-oxidation. Electron cryomicroscopy allowed structure determination of M. smegmatis EtfD, revealing an unusual linear [3Fe-4S] cluster that has not been seen in other protein structures, but which resembles the catalytic noncubane [4Fe-4S] clusters in heterodisulfide reductases. The structure suggests how EtfD transfers electrons from {beta}-oxidation to the electron transport chain. We devised an assay that couples EtfD activity to a fluorescent readout of proton pumping by the electron transport chain, which can be used to identify compounds that block mycobacteria from using {beta}-oxidation to power oxidative phosphorylation.

biochemistry↗

The Mycobacterium tuberculosis long-chain fatty acid resistome reveals the universal stress protein TB15.3 as essential for infection

The human pathogen Mycobacterium tuberculosis (Mtb) thrives in lipid-rich microenvironments. Long-chain fatty acids (LCFA) are some of the most abundant lipids encountered by Mtb during infection. Mtb has evolved to utilize LCFA as a preferred carbon source, however, LCFA are also known to be potent antimicrobials. Mtb must therefore employ mechanisms to utilize LCFA as a carbon source while avoiding its bactericidal properties. We used transposon sequencing (TnSeq) to define a Mtb LCFA resistome, and found it to be composed by 38 genes. Surprisingly, Mtb requires a diverse set of metabolic pathways to avoid LCFA toxicity, indicating pleiotropic effects of LCFA in Mtb metabolism. As a functional follow-up on the TnSeq screen, we investigated the function of the universal stress protein TB15.3 in LCFA metabolism and during infection. We show that TB15.3 acts as a "metabolic break" for LCFA uptake and catabolism, avoiding deleterious membrane hyperpolarization. This was associated with loss of viability in the chronic phase of infection in mice and in an in vitro caseum model. Our work highlights Mtb LCFA resistance mechanisms as an important adaptation to the host and a promising target space to be exploited for drug development.

microbiology↗

Reference-based chemical-genetic interaction profiling to elucidate small molecule mechanism of action in Mycobacterium tuberculosis

In an era of increasing resistance, new and effective strategies are needed for antibiotic discovery. Whole-cell active screens yield candidate compounds lacking mechanism-of-action (MOA) information and thus do not provide biological insight for prioritization. We previously reported PROSPECT (PRimary screening Of Strains to Prioritize Expanded Chemistry and Targets), an antimicrobial discovery strategy that measures chemical-genetic interactions between small molecules and a pool of Mycobacterium tuberculosis mutants, each depleted of a different essential protein target. PROSPECT facilitates efficient hit prioritization by simultaneously identifying whole-cell active compounds with high sensitivity and providing early insights into their MOA. Here, we report a reference-based approach to infer MOA from often complex PROSPECT data. For this aim, we curated a reference set of 437 compounds with published, annotated MOA and known or suspected antitubercular activity, and applied PROSPECT to it. We then developed Perturbagen CLass (PCL) analysis, a computational method that predicts MOA by comparing chemical-genetic interaction profiles of unknown compounds to those of this reference set. In leave-one-out cross-validation, PCL analysis correctly predicted MOA with 70% sensitivity and 75% precision. When applied to 75 antitubercular leads with known MOA previously reported by GlaxoSmithKline (GSK), PCL analysis similarly achieved 69% sensitivity and 87% precision. We also analyzed 98 GSK compounds lacking MOA information, predicting 60 of them to act via a reference MOA, and followed up with functional validation of 29 compounds predicted to target respiration-related MOAs. Finally, we applied PROSPECT and PCL analysis to [~]5,000 compounds from larger unbiased libraries that had not been preselected for antitubercular activity. PCL analysis identified a novel scaffold lacking wild-type activity but predicted to inhibit respiration via QcrB, and we confirmed this prediction while chemically optimizing this scaffold to achieve wild-type activity. PCL analysis of PROSPECT data thus enables rapid MOA assignment and hit prioritization, advancing the discovery of new, potent antitubercular compounds.

microbiology↗

A "suicide" BCG strain provides enhanced immunogenicity and robust protection against Mycobacterium tuberculosis in macaques

Intravenous (IV) BCG delivery provides robust protection against Mycobacterium tuberculosis (Mtb) in macaques but poses safety challenges. Here, we constructed two BCG strains (BCG-TetON-DL and BCG-TetOFF-DL) in which tetracyclines regulate two phage lysin operons. Once the lysins are expressed, these strains are killed in immunocompetent and immunocompromised mice yet induced similar immune responses and provided similar protection against Mtb challenge as wild type BCG. Lysin induction resulted in release of intracellular BCG antigens and enhanced cytokine production by macrophages. In macaques, cessation of doxycycline administration resulted in rapid elimination of BCG-TetOFF-DL. However, IV BCG-TetOFF-DL induced increased pulmonary CD4 T cell responses compared to WT BCG and provided robust protection against Mtb challenge, with sterilizing immunity in 6 of 8 macaques, compared to 2 of 8 macaques immunized with WT BCG. Thus, a "suicide" BCG strain provides an additional measure of safety when delivered intravenously and robust protection against Mtb infection.

immunology↗

Development of an Engineered Mycobacterium tuberculosis Strain for a Safe and Effective Tuberculosis Human Challenge Model

Human challenge experiments could greatly accelerate the development of a tuberculosis (TB) vaccine. Human challenge for tuberculosis requires a strain that can both replicate in the host and be reliably cleared. To accomplish this, we designed Mycobacterium tuberculosis (Mtb) strains featuring up to three orthogonal kill switches, tightly regulated by exogenous tetracyclines and trimethoprim. The resultant strains displayed immunogenicity and antibiotic susceptibility similar to wild-type Mtb under permissive conditions. In the absence of supplementary exogenous compounds, the strains were rapidly killed in axenic culture, mice and nonhuman primates. Notably, the strain that contained three kill switches had an escape rate of less than 10-10 per genome per generation and displayed no relapse in a SCID mouse model. Collectively, these findings suggest that this engineered Mtb strain could be a safe and effective candidate for a human challenge model.

microbiology↗

Synthetic lethality of Mycobacterium tuberculosis NADH dehydrogenases is due to impaired NADH oxidation

Type 2 NADH dehydrogenase (Ndh-2) is an oxidative phosphorylation enzyme discussed as a promising drug target in different pathogens, including Plasmodium falciparum and Mycobacterium tuberculosis (Mtb). To kill Mtb, Ndh-2 needs to be inactivated together with the alternative enzyme type 1 NADH dehydrogenase (Ndh-1), but the mechanism of this synthetic lethality remained unknown. Here, we provide insights into the biology of NADH dehydrogenases and a mechanistic explanation for Ndh-1 and Ndh-2 synthetic lethality in Mtb. NADH dehydrogenases have two main functions: maintaining an appropriate NADH/NAD+ ratio by converting NADH into NAD+ and providing electrons to the respiratory chain. Heterologous expression of a water forming NADH oxidase (Nox), which catalyzes the oxidation of NADH, allows to distinguish between these two functions and show that Nox rescues Mtb from Ndh-1/Ndh-2 synthetic lethality, indicating that NADH oxidation is the essential function of NADH dehydrogenases for Mtb viability. Quantification of intracellular levels of NADH, NAD, ATP, and oxygen consumption revealed that preventing NADH oxidation by Ndh-2 depletes NAD(H) and inhibits respiration. Finally, we show that Ndh-1/ Ndh-2 synthetic lethality can be achieved through chemical inhibition. IMPORTANCEIn 2022, it is estimated that 10.6 million people fell ill, and 1.6 million people died from Tuberculosis (TB). Available treatment is lengthy and requires a multi-drug regimen, which calls for new strategies to cure Mycobacterium tuberculosis (Mtb) infections more efficiently. We have previously shown that simultaneous inactivation of type 1 (Ndh-1) and type 2 (Ndh-2) NADH dehydrogenase kills Mtb. NADH dehydrogenases play two main physiological roles: NADH oxidation and electron entry to the respiratory chain. Here, we show that this bactericidal effect is a consequence of impaired NADH oxidation. Importantly, we demonstrate that Ndh-1/Ndh-2 synthetic lethality can be achieved through simultaneous chemical inhibition, which could be exploited by TB drug development programs.

microbiology↗

Cyclic AMP is a critical mediator of intrinsic drug resistance and fatty acid metabolism in M. tuberculosis

Cyclic AMP (cAMP) is a ubiquitous second messenger that transduces signals from cellular receptors to downstream effectors. Mycobacterium tuberculosis (Mtb), the etiological agent of tuberculosis, devotes a considerable amount of coding capacity to produce, sense, and degrade cAMP. Despite this fact, our understanding of how cAMP regulates Mtb physiology remains limited. Here, we took a genetic approach to investigate the function of the sole essential adenylate cyclase in Mtb H37Rv, Rv3645. We found that lack of rv3645 resulted in increased sensitivity to numerous antibiotics by a mechanism independent of substantial increases in envelope permeability. We made the unexpected observation that rv3645 is conditionally essential for Mtb growth only in the presence of long-chain fatty acids, a host-relevant carbon source. A suppressor screen further identified mutations in the atypical cAMP phosphodiesterase rv1339 that suppress both fatty-acid and drug sensitivity phenotypes in strains lacking rv3645. Using mass spectrometry, we found that Rv3645 is the dominant source of cAMP under standard laboratory growth conditions, that cAMP production is the essential function of Rv3645 in the presence of long-chain fatty acids, and that reduced levels of cAMP result in increased antibiotic susceptibility. Our work defines rv3645 and cAMP as central mediators of intrinsic multidrug resistance and fatty acid metabolism in Mtb and highlights the potential utility of small molecule modulators of cAMP signaling.

microbiology↗

Reliable detection of pyrazinamide antitubercular activity in vitro.

Pyrazinamide (PZA) is a pivotal antibiotic for the chemotherapy of tuberculosis (TB), a disease caused by the bacterium Mycobacterium tuberculosis (Mtb). PZA is notorious for its poor in vitro activity which complicates phenotypic PZA-susceptibility testing (PPST) and likely causes inappropriate treatment of TB patients. Here, we show that PZA activity can be reliably detected using an acidic and lipid-rich culture medium mimicking conditions Mtb encounters during an infection. Our growth model could facilitate PPST to improve the treatment of TB patients and ameliorate the global surveillance of PZA resistance.

microbiology↗

Multiple acyl-CoA dehydrogenase deficiency kills Mycobacterium tuberculosis in vitro and during infection

The human pathogen Mycobacterium tuberculosis (Mtb) devotes a significant fraction of its genome to fatty acid metabolism. Although Mtb depends on host fatty acids as a carbon source, fatty acid {beta}-oxidation is mediated by genetically redundant enzymes, which has hampered the development of antitubercular drugs targeting this metabolic pathway. Here, we identify rv0338c, referred to as etfDMtb, to encode a membrane dehydrogenase essential for fatty acid {beta}-oxidation in Mtb. An etfD deletion mutant ({Delta}etfD) was incapable of growing on fatty acids in vitro, with long-chain fatty acids being bactericidal, and failed to grow and survive in mice. The {Delta}etfD metabolome revealed a block in {beta}-oxidation at the step catalyzed by acyl-CoA dehydrogenases (ACADs). In many organisms, including humans, ACADs are functionally dependent on an electron transfer flavoprotein (ETF) and cognate dehydrogenase. Immunoprecipitation identified EtfD in complex with FixA (EtfBMtb). FixA (EtfBMtb) and FixB (EtfAMtb) are homologous to the human ETF subunits. Our results demonstrate that EtfBAMtb constitutes Mtbs ETF, while EtfDMtb, although not homologous to human EtfD, functions as the dehydrogenase. These findings identify Mtbs fatty acid {beta}-oxidation as a novel potential target for TB drug development.

microbiology↗

Chemical-genetic interaction mapping links carbon metabolism and cell wall structure to tuberculosis drug efficacy

Current chemotherapy against Mycobacterium tuberculosis (Mtb), an important human pathogen, requires a multidrug regimen lasting several months. While efforts have been made to optimize therapy by exploiting drug-drug synergies, testing new drug combinations in relevant host environments remains arduous. In particular, host environments profoundly affect the bacterial metabolic state and drug efficacy, limiting the accuracy of predictions based on in vitro assays alone. In this study, we utilize conditional Mtb knockdown mutants of essential genes as an experimentally-tractable surrogate for drug treatment, and probe the relationship between Mtb carbon metabolism and chemical-genetic interactions (CGI). We examined the anti-tubercular drugs isoniazid, rifampicin and moxifloxacin, and found that CGI are differentially responsive to the metabolic state, defining both environment-independent and -dependent interactions. Specifically, growth on the in vivo-relevant carbon source, cholesterol, reduced rifampicin efficacy by altering mycobacterial cell surface lipid composition. We report that a variety of perturbations in cell wall synthesis pathways restore rifampicin efficacy during growth on cholesterol, and that both environment-independent and cholesterol-dependent in vitro CGI could be leveraged to enhance bacterial clearance in the mouse infection model. Our findings present an atlas of novel chemical-genetic-environmental interactions that can be used to optimize drug-drug interactions as well as provide a framework for understanding in vitro correlates of in vivo efficacy. SignificanceEfforts to improve tuberculosis therapy include optimizing multi-drug regimens to take advantage of drug-drug synergies. However, the complex host environment has a profound effect on bacterial metabolic state and drug activity, making predictions of optimal drug combinations difficult. In this study, we leverage a newly developed library of conditional knockdown Mycobacterium tuberculosis mutants in which genetic depletion of essential genes mimics the effect of drug therapy. This tractable system allowed us to assess the effect of growth condition on predicted drug-drug interactions. We found that these interactions can be differentially sensitive to the metabolic state and select in vitro-defined interactions can be leveraged to accelerate bacterial killing during infection. These findings suggest new strategies for optimizing tuberculosis therapy.

microbiology↗

The Mycobacterium tuberculosis transposon sequencing database (MtbTnDB): a large-scale guide to genetic conditional essentiality

Characterizing genetic essentiality across various conditions is fundamental for understanding gene function. Transposon sequencing (TnSeq) is a powerful technique to generate genome-wide essentiality profiles in bacteria and has been extensively applied to Mycobacterium tuberculosis (Mtb). Dozens of TnSeq screens have yielded valuable insights into the biology of Mtb in vitro, inside macrophages, and in model host organisms. Despite their value, these Mtb TnSeq profiles have not been standardized or collated into a single, easily searchable database. This results in significant challenges when attempting to query and compare these resources, limiting our ability to obtain a comprehensive and consistent understanding of genetic conditional essentiality in Mtb. We address this problem by building a central repository of publicly available Mtb TnSeq screens, the Mtb transposon sequencing database (MtbTnDB). The MtbTnDB is a living resource that encompasses to date {approx}150 standardized TnSeq screens, enabling open access to data, visualizations, and functional predictions through an interactive web app (www.mtbtndb.app). We conduct several statistical analyses on the complete database, such as demonstrating that (i) genes in the same genomic neighborhood have similar TnSeq profiles, and (ii) clusters of genes with similar TnSeq profiles are enriched for genes from similar functional categories. We further analyze the performance of machine learning models trained on TnSeq profiles to predict functional annotation of orphan genes in Mtb. By facilitating the comparison of TnSeq screens across conditions, the MtbTnDB will accelerate the exploration of conditional genetic essentiality, provide insights into the functional organization of Mtb genes, and help predict gene function in this important human pathogen.

microbiology↗

Genetic models of latent tuberculosis in mice reveal differential control by innate and adaptive immunity

Studying latent Mycobacterium tuberculosis (Mtb) infection has been limited by the lack of a suitable mouse model. We discovered that transient depletion of protein biotin ligase (BPL) and thioredoxin reductase (TrxB2) results in latent infections during which Mtb cannot be detected but that relapse in a subset of mice. The immune requirements for Mtb control during latency, and the frequency of relapse, were strikingly different depending on how latency was established. TrxB2 depletion resulted in a latent infection that required adaptive immunity for control and reactivated with high frequency, whereas latent infection after BPL depletion was independent of adaptive immunity and rarely reactivated. We identified immune signatures of T cells indicative of relapse and demonstrated that BCG vaccination failed to protect mice from TB relapse. These reproducible genetic latency models allow investigating the host immunological determinants that control the latent state and offer opportunities to evaluate therapeutic strategies in settings that mimic aspects of latency and TB relapse in humans.

microbiology↗

Host-pathogen genetic interactions underlie tuberculosis susceptibility in genetically diverse mice

The outcome of an encounter with Mycobacterium tuberculosis depends on the pathogens ability to adapt to the variable immune pressures exerted by the host. Understanding this interplay has proven difficult, largely because experimentally tractable animal models do not recapitulate the heterogeneity of tuberculosis disease. We leveraged the genetically diverse Collaborative Cross (CC) mouse panel in conjunction with a library of Mtb mutants to associate bacterial genetic requirements with host genetics and immunity. We report that CC strains vary dramatically in their susceptibility to infection and produce qualitatively distinct immune states. Global analysis of Mtb mutant fitness across the CC panel revealed that many virulence pathways are only in specific host microenvironments, identifying the large fraction of the pathogens genome that has been maintained to ensure fitness in a diverse population. Both immunological and bacterial traits were associated with genetic variants distributed across the mouse genome, identifying the specific host-pathogen genetic interactions that influence pathogenesis.

genetics↗