The DOI matches its Crossref record.
Moxifloxacin, Ofloxacin, Sparfloxacin, and Ciprofloxacin against Mycobacterium tuberculosis : Evaluation of In Vitro and Pharmacodynamic Indices That Best Predict In Vivo Efficacy
Open accessAbstract
Members of the fluoroquinolone class are being actively evaluated for inclusion in tuberculosis chemotherapy regimens, and we sought to determine the best in vitro and pharmacodynamic predictors of in vivo efficacy in mice. MICs for Mycobacterium tuberculosis H37Rv were 0.1 mg/liter (sparfloxacin [SPX]) and 0.5 mg/liter (moxifloxacin [MXF], ciprofloxacin [CIP], and ofloxacin [OFX]). The unbound fraction in the presence of murine serum was concentration dependent for MXF, OFX, SPX, and CIP. In vitro time-kill studies revealed a time-dependent effect, with the CFU reduction on day 7 similar for all four drugs. However, with a J774A.1 murine macrophage tuberculosis infection model, CIP was ineffective at up to 32× MIC. In addition, MXF, OFX, and SPX exhibited less activity than had been seen in the in vitro time-kill study. After demonstrating that the area under the concentration-time curve (AUC) and maximum concentration of drug in plasma were proportional to the dose in vivo, dose fractionation studies with total oral doses of 37.5 to 19,200 mg/kg of body weight (MXF), 225 to 115,200 mg/kg (OFX), 30 to 50,000 mg/kg (SPX), and 38 to 100,000 mg/kg (CIP) were performed with a murine aerosol infection model. MXF was the most efficacious agent (3.0 ± 0.2 log 10 CFU/lung reduction), followed by SPX (1.4 ± 0.1) and OFX (1.5 ± 0.1). CIP showed no effect. The ratio of the AUC to the MIC was the pharmacodynamic parameter that best described the in vivo efficacy. In summary, a lack of intracellular killing predicted the lack of in vivo activity of CIP. The in vivo rank order for maximal efficacy of the three active fluoroquinolones was not clearly predicted by the in vitro assays, however.
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
Cited by
Dorman, S. E., Johnson, J. L., Goldberg, S., Muzanye, G., Padayatchi, N., Bozeman, L., Heilig, C. M., Bernardo, J., Choudhri, S., Grosset, J. H., et al. (2009) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200901-0078oc · Cited by 264
New Drugs against Tuberculosis: Problems, Progress, and Evaluation of Agents in Clinical Development
van den Boogaard, J., Kibiki, G. S., Kisanga, E. R., Boeree, M. J., & Aarnoutse, R. E. (2009) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00749-08 · Cited by 257
The role of particle physico-chemical properties in pulmonary drug delivery for tuberculosis therapy
Mortensen, N. P., Durham, P., & Hickey, A. J. (2014) · Journal of Microencapsulation · doi:10.3109/02652048.2014.932029 · Cited by 52
Metadata
- Authors
- Shandil, R. K., Jayaram, R., Kaur, P., Gaonkar, S., Suresh, B. L., Mahesh, B. N., Jayashree, R., Nandi, V., Bharath, S., & Balasubramanian, V.
- Venue
- Antimicrobial Agents and Chemotherapy
- Publisher
- American Society for Microbiology
- Published
- 2007-02
- Volume
- 51
- Issue
- 2
- Pages
- 576-582
- ISSN
- 0066-4804 (ISSN-L)
- 1098-6596
- OpenAlex
- W2137088409
- Cited by
- 203
- References
- 0
- FWCI
- 5.16
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Moxifloxacin, Ofloxacin, Sparfloxacin, and Ciprofloxacin against Mycobacterium tuberculosis : Evaluation of In Vitro and Pharmacodynamic Indices That Best Predict In Vivo Efficacy. https://app.cochat.ai/papers/10.1128/aac.00414-06
- The paper
- Shandil, R. K., Jayaram, R., Kaur, P., Gaonkar, S., Suresh, B. L., Mahesh, B. N., Jayashree, R., Nandi, V., Bharath, S., & Balasubramanian, V. (2007). Moxifloxacin, Ofloxacin, Sparfloxacin, and Ciprofloxacin against Mycobacterium tuberculosis : Evaluation of In Vitro and Pharmacodynamic Indices That Best Predict In Vivo Efficacy. Antimicrobial Agents and Chemotherapy. https://doi.org/10.1128/aac.00414-06
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.