The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The path of anti-tuberculosis drugs: from blood to lesions to mycobacterial cells
Open accessAbstract
For the successful treatment of pulmonary tuberculosis, drugs need to penetrate complex lung lesions and permeate the mycobacterial cell wall in order to reach their intracellular targets. However, most currently used anti-tuberculosis drugs were introduced into clinical use without considering the pharmacokinetic and pharmacodynamic properties that influence drug distribution, and this has contributed to the long duration and limited success of current therapies. In this Progress article, I describe new methods to quantify and image drug distribution in infected lung tissue and in mycobacterial cells, and I explore how this technology could be used to design optimized multidrug regimens.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Drug penetration in solid tumours
Minchinton, A. I., & Tannock, I. F. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1893 · Cited by 2,805
Phagosomal Rupture by Mycobacterium tuberculosis Results in Toxicity and Host Cell Death
Simeone, R., Bobard, A., Lippmann, J., Bitter, W., Majlessi, L., Brosch, R., & Enninga, J. (2012) · PLoS Pathogens · doi:10.1371/journal.ppat.1002507 · Cited by 561
Clemens, D. L., Lee, B.-Y., Xue, M., Thomas, C. R., Meng, H., Ferris, D., Nel, A. E., Zink, J. I., & Horwitz, M. A. (2012) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.06049-11 · Cited by 260
Cell‐Wall Alterations as an Attribute of Mycobacterium tuberculosis in Latent Infection
Seiler, P., Ulrichs, T., Bandermann, S., Pradl, L., Jörg, S., Krenn, V., Morawietz, L., Kaufmann, S. H. E., & Aichele, P. (2003) · The Journal of Infectious Diseases · doi:10.1086/378563 · Cited by 157
Cited by
The formulation of nanomedicines for treating tuberculosis
Costa, A., Pinheiro, M., Magalhães, J., Ribeiro, R., Seabra, V., Reis, S., & Sarmento, B. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.04.012 · Cited by 123
Xu, W., DeJesus, M. A., Rücker, N., Engelhart, C. A., Wright, M. G., Healy, C., Lin, K., Wang, R., Park, S. W., Ioerger, T. R., et al. (2017) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01334-17 · Cited by 115
Heme and hemoglobin utilization by Mycobacterium tuberculosis
Mitra, A., Ko, Y.-H., Cingolani, G., & Niederweis, M. (2019) · Nature Communications · doi:10.1038/s41467-019-12109-5 · Cited by 81
Nanomedicine for phage therapy: Encapsulation strategies for enhanced antimicrobial efficacy
Dorta-Gorrín, A., Salgueiriño, V., & García-Hevia, L. (2026) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2025.107660 · Cited by 16
Metadata
- Authors
- Dartois, V.
- Venue
- Nature Reviews Microbiology
- Published
- 2014-02-03
- Volume
- 12
- Issue
- 3
- Pages
- 159-167
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W2000710967
- Cited by
- 388
- References
- 4
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
