The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
A Rapid Murine Coma and Behavior Scale for Quantitative Assessment of Murine Cerebral Malaria
Open accessAbstract
BACKGROUND: Cerebral malaria (CM) is a neurological syndrome that includes coma and seizures following malaria parasite infection. The pathophysiology is not fully understood and cannot be accounted for by infection alone: patients still succumb to CM, even if the underlying parasite infection has resolved. To that effect, there is no known adjuvant therapy for CM. Current murine CM (MCM) models do not allow for rapid clinical identification of affected animals following infection. An animal model that more closely mimics the clinical features of human CM would be helpful in elucidating potential mechanisms of disease pathogenesis and evaluating new adjuvant therapies. METHODOLOGY/PRINCIPAL FINDINGS: A quantitative, rapid murine coma and behavior scale (RMCBS) comprised of 10 parameters was developed to assess MCM manifested in C57BL/6 mice infected with Plasmodium berghei ANKA (PbA). Using this method a single mouse can be completely assessed within 3 minutes. The RMCBS enables the operator to follow the evolution of the clinical syndrome, validated here by correlations with intracerebral hemorrhages. It provides a tool by which subjects can be identified as symptomatic prior to the initiation of trial treatment. CONCLUSIONS/SIGNIFICANCE: Since the RMCBS enables an operator to rapidly follow the course of disease, label a subject as affected or not, and correlate the level of illness with neuropathologic injury, it can ultimately be used to guide the initiation of treatment after the onset of cerebral disease (thus emulating the situation in the field). The RMCBS is a tool by which an adjuvant therapy can be objectively assessed.
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
The global distribution of clinical episodes of Plasmodium falciparum malaria
Snow, R. W., Guerra, C. A., Noor, A. M., Myint, H. Y., & Hay, S. I. (2005) · Nature · doi:10.1038/nature03342 · Cited by 2,741
Satpathy, S. K., Mohanty, N., Nanda, P., & Samal, G. (2004) · The Indian Journal of Pediatrics · doi:10.1007/bf02723094 · Cited by 1,130
The ears of the hippopotamus: manifestations, determinants, and estimates of the malaria burden
Breman, J. (2001) · The American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.2001.64.1 · Cited by 931
Severe falciparum malaria. World Health Organization, Communicable Diseases Cluster.
(2000) · PubMed · Cited by 920
Rogers, D. C., Fisher, E. M. C., Brown, S. D. M., Peters, J., Hunter, A. J., & Martin, J. E. (1997) · Mammalian Genome · doi:10.1007/s003359900551 · Cited by 795
Differentiating the pathologies of cerebral malaria by postmortem parasite counts
Taylor, T. E., Fu, W. J., Carr, R. A., Whitten, R. O., Mueller, J. G., Fosiko, N. G., Lewallen, S., Liomba, N. G., & Molyneux, M. E. (2004) · Nature Medicine · doi:10.1038/nm986 · Cited by 719
Self-citationHeme oxygenase-1 and carbon monoxide suppress the pathogenesis of experimental cerebral malaria
Pamplona, A., Ferreira, A., Balla, J., Jeney, V., Balla, G., Epiphanio, S., Chora, Â., Rodrigues, C. D., Gregoire, I. P., Cunha-Rodrigues, M., et al. (2007) · Nature Medicine · doi:10.1038/nm1586 · Cited by 560
Cytokines: accelerators and brakes in the pathogenesis of cerebral malaria
Hunt, N. H., & Grau, G. E. (2003) · Trends in Immunology · doi:10.1016/s1471-4906(03)00229-1 · Cited by 484
Clinical features and pathogenesis of severe malaria
Mackintosh, C. L., Beeson, J. G., & Marsh, K. (2004) · Trends in Parasitology · doi:10.1016/j.pt.2004.09.006 · Cited by 366
Franke-Fayard, B., Janse, C. J., Cunha-Rodrigues, M., Ramesar, J., Büscher, P., Que, I., Löwik, C., Voshol, P. J., den Boer, M. A. M., van Duinen, S. G., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503386102 · Cited by 332
Cited by
Swanson, P. A., Hart, G. T., Russo, M. V., Nayak, D., Yazew, T., Peña, M., Khan, S. M., Janse, C. J., Pierce, S. K., & McGavern, D. B. (2016) · PLOS Pathogens · doi:10.1371/journal.ppat.1006022 · Cited by 125
Protein language models trained on multiple sequence alignments learn phylogenetic relationships
Lupo, U., Sgarbossa, D., & Bitbol, A.-F. (2022) · Nature Communications · doi:10.1038/s41467-022-34032-y · Cited by 67
Tsutsumi, N., Hwang, S., Waghray, D., Hansen, S., Jude, K. M., Wang, N., Miao, Y., Glassman, C. R., Caveney, N. A., Janda, C. Y., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218238120 · Cited by 52
Generative power of a protein language model trained on multiple sequence alignments
(2023) · doi:10.7554/elife.79854 · Cited by 43
Do protein language models learn phylogeny?
Tule, S., Foley, G., & Bodén, M. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf047 · Cited by 19
Metadata
- Authors
- Carroll, R. W., Wainwright, M. S., Kim, K.-Y., Kidambi, T., Gómez, N. D., Taylor, T., & Haldar, K.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-10-01
- Volume
- 5
- Issue
- 10
- Pages
- e13124
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1966399595
- Cited by
- 354
- References
- 39
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- gold
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: A Rapid Murine Coma and Behavior Scale for Quantitative Assessment of Murine Cerebral Malaria. https://app.cochat.ai/papers/10.1371/journal.pone.0013124
- The paper
- Carroll, R. W., Wainwright, M. S., Kim, K.-Y., Kidambi, T., Gómez, N. D., Taylor, T., & Haldar, K. (2010). A Rapid Murine Coma and Behavior Scale for Quantitative Assessment of Murine Cerebral Malaria. PLoS ONE. https://doi.org/10.1371/journal.pone.0013124
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.
