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      High-resolution mapping of fluoroquinolones in TB rabbit lesions reveals specific distribution in immune cell types

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          Abstract

          Understanding the distribution patterns of antibiotics at the site of infection is paramount to selecting adequate drug regimens and developing new antibiotics. Tuberculosis (TB) lung lesions are made of various immune cell types, some of which harbor persistent forms of the pathogen, Mycobacterium tuberculosis. By combining high resolution MALDI MSI with histology staining and quantitative image analysis in rabbits with active TB, we have mapped the distribution of a fluoroquinolone at high resolution, and identified the immune-pathological factors driving its heterogeneous penetration within TB lesions, in relation to where bacteria reside. We find that macrophage content, distance from lesion border and extent of necrosis drive the uneven fluoroquinolone penetration. Preferential uptake in macrophages and foamy macrophages, where persistent bacilli reside, compared to other immune cells present in TB granulomas, was recapitulated in vitro using primary human cells. A nonlinear modeling approach was developed to help predict the observed drug behavior in TB lesions. This work constitutes a methodological advance for the co-localization of drugs and infectious agents at high spatial resolution in diseased tissues, which can be applied to other diseases with complex immunopathology.

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          The association between sterilizing activity and drug distribution into tuberculosis lesions

          Finding new treatment-shortening antibiotics to improve cure rates and curb the alarming emergence of drug resistance is the major objective of tuberculosis (TB) drug development. Using a MALDI mass spectrometry imaging suite in a biosafety containment facility, we show that the key sterilizing drugs rifampicin and pyrazinamide efficiently penetrate the sites of TB infection in lung lesions. Rifampicin even accumulates in necrotic caseum, a critical lesion site where persisting tubercle bacilli reside 1 . In contrast, moxifloxacin which is active in vitro against persisters, a sub-population of Mycobacterium tuberculosis that persists in specific niches under drug pressure, and achieved treatment shortening in mice 2 , does not diffuse well in caseum, concordant with its failure to shorten therapy in recent clinical trials. We also suggest that such differential spatial distribution and kinetics of accumulation in lesions may create temporal and spatial windows of monotherapy in specific niches, allowing the gradual development of multidrug resistant TB. We propose an alternative working model to prioritize new antibiotic regimens based on quantitative and spatial distribution of TB drugs in the major lesion types found in human lungs. The finding that lesion penetration contributes to treatment outcome has wide implications for TB.
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            Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions.

            Empirical Bayes ("post hoc") estimates (EBEs) of etas provide modelers with diagnostics: the EBEs themselves, individual prediction (IPRED), and residual errors (individual weighted residual (IWRES)). When data are uninformative at the individual level, the EBE distribution will shrink towards zero (eta-shrinkage, quantified as 1-SD(eta (EBE))/omega), IPREDs towards the corresponding observations, and IWRES towards zero (epsilon-shrinkage, quantified as 1-SD(IWRES)). These diagnostics are widely used in pharmacokinetic (PK) pharmacodynamic (PD) modeling; we investigate here their usefulness in the presence of shrinkage. Datasets were simulated from a range of PK PD models, EBEs estimated in non-linear mixed effects modeling based on the true or a misspecified model, and desired diagnostics evaluated both qualitatively and quantitatively. Identified consequences of eta-shrinkage on EBE-based model diagnostics include non-normal and/or asymmetric distribution of EBEs with their mean values ("ETABAR") significantly different from zero, even for a correctly specified model; EBE-EBE correlations and covariate relationships may be masked, falsely induced, or the shape of the true relationship distorted. Consequences of epsilon-shrinkage included low power of IPRED and IWRES to diagnose structural and residual error model misspecification, respectively. EBE-based diagnostics should be interpreted with caution whenever substantial eta- or epsilon-shrinkage exists (usually greater than 20% to 30%). Reporting the magnitude of eta- and epsilon-shrinkage will facilitate the informed use and interpretation of EBE-based diagnostics.
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              Who puts the tubercle in tuberculosis?

              Tuberculosis (TB), an illness that mainly affects the respiratory system, is one of the world's most pernicious diseases. TB currently infects one-third of the world's population and kills approximately 1.7 million people each year. Most infected individuals fail to progress to full-blown disease because the TB bacilli are 'walled off' by the immune system inside a tissue nodule known as a granuloma. The granuloma's primary function is one of containment and it prevents the dissemination of the mycobacteria. But what is the role of the TB bacillus in the progression of the granuloma? This Review explores how Mycobacterium tuberculosis influences granuloma formation and maintenance, and ensures the spread of the disease.
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                Author and article information

                Contributors
                Role: Senior Editor
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                14 November 2018
                2018
                : 7
                : e41115
                Affiliations
                [1 ]deptPublic Health Research Institute, New Jersey Medical School Rutgers, The State University of New Jersey NewarkUnited States
                [2 ]deptDepartment of Microbiology, Immunology and Pathology Colorado State University Fort CollinsUnited States
                [3 ]deptCenter for Virology and Vaccine Research, Beth Israel Deaconess Medical Center Harvard Medical School BostonUnited States
                [4 ]deptDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine University of California San Francisco San FranciscoCanada
                Harvard TH Chan School of Public Health United States
                University of the Witwatersrand South Africa
                University of the Witwatersrand South Africa
                Tufts University School of Medicine United States
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-9470-5009
                Article
                41115
                10.7554/eLife.41115
                6249001
                30427309
                16a7cd18-368c-4f9d-b2bb-593fafbd7625
                © 2018, Blanc et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 15 August 2018
                : 13 November 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: U01-HL131072
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01-AI111967
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1174780
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Microbiology and Infectious Disease
                Custom metadata
                Penetration of the fluoroquinolones in tuberculosis lesions is heterogeneous even in fully cellular areas, is driven by macrophage content and decreases as the distance from lesion outer rim increases.

                Life sciences
                tuberculosis,drug distribution,fluoroquinolones,rabbit model,maldi mass spectrometry imaging,other

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