Author
Listed:
- Xueyi Chen
(Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine)
- Bhavatharini Arun
(University of Maryland School of Pharmacy)
- Oscar J. Nino-Meza
(Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine)
- Mona O. Sarhan
(Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine)
- Medha Singh
(Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine)
- Byeonghoon Jeon
(Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine)
- Kishor Mane
(Rutgers New Jersey Medical School)
- Maunank Shah
(Johns Hopkins University School of Medicine)
- Elizabeth W. Tucker
(Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine)
- Laurence S. Carroll
(Johns Hopkins University School of Medicine)
- Joel S. Freundlich
(Rutgers New Jersey Medical School)
- Charles A. Peloquin
(Pharmacotherapy and Translational Research, University of Florida College of Pharmacy)
- Vijay D. Ivaturi
(University of Maryland School of Pharmacy
Manipal University)
- Sanjay K. Jain
(Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine
Johns Hopkins University School of Medicine)
Abstract
Tuberculosis (TB) remains a leading cause of death, but antibiotic treatments for tuberculous meningitis, the deadliest form of TB, are based on those developed for pulmonary TB and not optimized for brain penetration. Here, we perform first-in-human dynamic 18F-pretomanid positron emission tomography (PET) in eight human subjects to visualize 18F-pretomanid biodistribution as concentration-time exposures in multiple compartments (NCT05609552), demonstrating preferential brain versus lung tissue partitioning. Preferential, antibiotic-specific partitioning into brain or lung tissues of several antibiotics, active against multidrug resistant (MDR) Mycobacterium tuberculosis strains, are confirmed in experimentally-infected mice and rabbits, using dynamic PET with chemically identical antibiotic radioanalogs, and postmortem mass spectrometry measurements. PET-facilitated pharmacokinetic modeling predicts human dosing necessary to attain therapeutic brain exposures. These data are used to design optimized, pretomanid-based regimens which are evaluated at human equipotent dosing in a mouse model of TB meningitis, demonstrating excellent bactericidal activity without an increase in intracerebral inflammation or brain injury. Importantly, several antibiotic regimens demonstrate discordant activities in brain and lung tissues in the same animal, correlating with tissue antibiotic exposures. These data provide a mechanistic basis for the compartmentalized activities of antibiotic regimens, with important implications for developing treatments for meningitis and other infections in compartments with unique antibiotic penetration.
Suggested Citation
Xueyi Chen & Bhavatharini Arun & Oscar J. Nino-Meza & Mona O. Sarhan & Medha Singh & Byeonghoon Jeon & Kishor Mane & Maunank Shah & Elizabeth W. Tucker & Laurence S. Carroll & Joel S. Freundlich & Cha, 2024.
"Dynamic PET reveals compartmentalized brain and lung tissue antibiotic exposures of tuberculosis drugs,"
Nature Communications, Nature, vol. 15(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50989-4
DOI: 10.1038/s41467-024-50989-4
Download full text from publisher
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50989-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.