The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Innate Immunity to Mycobacterium tuberculosis
Open accessAbstract
SUMMARY: The different manifestations of infection with Mycobacterium tuberculosis reflect the balance between the bacillus and host defense mechanisms. Traditionally, protective immunity to tuberculosis has been ascribed to T-cell-mediated immunity, with CD4+T cells playing a crucial role. Recent immunological and genetic studies support the long-standing notion that innate immunity is also relevant in tuberculosis. In this review, emphasis is on these natural, innate host defense mechanisms, referring to experimental data (e.g., studies in gene knockout mice) and epidemiological, immunological, and genetic studies in human tuberculosis. The first step in the innate host defense is cellular uptake of M. tuberculosis, which involves different cellular receptors and humoral factors. Toll-like receptors seem to play a crucial role in immune recognition of M. tuberculosis, which is the next step. The subsequent inflammatory response is regulated by production of pro- and anti-inflammatory cytokines and chemokines. Different natural effector mechanisms for killing of M. tuberculosis have now been identified. Finally, the innate host response is necessary for induction of adaptive immunity to M. tuberculosis. These basic mechanisms augment our understanding of disease pathogenesis and clinical course and will be of help in designing adjunctive treatment strategies.
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
A Toll-like receptor recognizes bacterial DNA
Hemmi, H., Takeuchi, O., Kawai, T., Kaisho, T., Sato, S., Sanjo, H., Matsumoto, M., Hoshino, K., Wagner, H., Takeda, K., et al. (2000) · Nature · doi:10.1038/35047123 · Cited by 6,491 · cited 5×
“Besides TLR2 and TLR4, other TLRs may be involved in immune recognition of M. tuberculosis: heterodimerization of TLR2 with TLR6 or TLR1 is necessary for signal transduction (31, 167), and TLR9 binds CpG dinucleotides in bacterial DNA (87, 88).”
BackgroundInfluentialSturgill-Koszycki, S., Schlesinger, P. H., Chakraborty, P., Haddix, P. L., Collins, H. L., Fok, A. K., Allen, R. D., Gluck, S. L., Heuser, J., & Russell, D. G. (1994) · Science · doi:10.1126/science.8303277 · Cited by 1,302
Schindler, R., Mancilla, J., Endres, S., Ghorbani, R., Clark, S., & Dinarello, C. (1990) · Blood · doi:10.1182/blood.v75.1.40.40 · Cited by 1,012
A CONSERVED SIGNALING PATHWAY: The Drosophila Toll-Dorsal Pathway
Belvin, M. P., & Anderson, K. V. (1996) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.12.1.393 · Cited by 836 · cited 1×
“recognition on macrophages and dendritic cells (20, 135, 240).”
BackgroundDorman, S. E., & Holland, S. M. (1998) · Journal of Clinical Investigation · doi:10.1172/jci2901 · Cited by 429
Wilkinson, R. J., Patel, P., Llewelyn, M., Hirsch, C. S., Pasvol, G., Snounou, G., Davidson, R. N., & Toossi, Z. (1999) · The Journal of Experimental Medicine · doi:10.1084/jem.189.12.1863 · Cited by 295
Hackam, D. J., Rotstein, O. D., Zhang, W.-J., Gruenheid, S., Gros, P., & Grinstein, S. (1998) · The Journal of Experimental Medicine · doi:10.1084/jem.188.2.351 · Cited by 202
Lewinsohn, D. M., Alderson, M. R., Briden, A. L., Riddell, S. R., Reed, S. G., & Grabstein, K. H. (1998) · The Journal of Experimental Medicine · doi:10.1084/jem.187.10.1633 · Cited by 165
Role of Iron in Nramp1-Mediated Inhibition of Mycobacterial Growth
Zwilling, B. S., Kuhn, D. E., Wikoff, L., Brown, D., & Lafuse, W. (1999) · Infection and Immunity · doi:10.1128/iai.67.3.1386-1392.1999 · Cited by 155
Understanding the multiple functions of Nramp1
Blackwell, J. M., Searle, S., Goswami, T., & Miller, E. N. (2000) · Microbes and Infection · doi:10.1016/s1286-4579(00)00295-1 · Cited by 136
Cited by
Mycobacterium tuberculosis Pathogenesis and Molecular Determinants of Virulence
Smith, I. (2003) · Clinical Microbiology Reviews · doi:10.1128/cmr.16.3.463-496.2003 · Cited by 1,154
Davis, J. M., Clay, H., Lewis, J. L., Ghori, N., Herbomel, P., & Ramakrishnan, L. (2002) · Immunity · doi:10.1016/s1074-7613(02)00475-2 · Cited by 565
Eum, S.-Y., Kong, J.-H., Hong, M.-S., Lee, Y.-J., Kim, J.-H., Hwang, S.-H., Cho, S.-N., Via, L. E., & Barry, C. E. (2010) · Chest · doi:10.1378/chest.09-0903 · Cited by 548
Reiling, N., Hölscher, C., Fehrenbach, A., Kröger, S., Kirschning, C. J., Goyert, S., & Ehlers, S. (2002) · The Journal of Immunology · doi:10.4049/jimmunol.169.7.3480 · Cited by 352
Role of Leptin in Inflammation and Vice Versa
Pérez-Pérez, A., Sánchez-Jiménez, F., Vilariño-García, T., & Sánchez-Margalet, V. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21165887 · Cited by 330
The Effect of the Host’s Iron Status on Tuberculosis
Boelaert, J. R., Vandecasteele, S. J., Appelberg, R., & Gordeuk, V. R. (2007) · The Journal of Infectious Diseases · doi:10.1086/518040 · Cited by 217
Park, J. S., Tamayo, M. H., Gonzalez-Juarrero, M., Orme, I. M., & Ordway, D. J. (2005) · Journal of Leukocyte Biology · doi:10.1189/jlb.0505250 · Cited by 128
Sambarey, A., Prashanthi, K., & Chandra, N. (2013) · Scientific Reports · doi:10.1038/srep02302 · Cited by 31
SLC11A1(Formerly NRAMP1) Gene Polymorphisms Associated with Pediatric Tuberculosis in China
Jin, J., Sun, L., Jiao, W., Zhao, S., Li, H., Guan, X., Jiao, A., Jiang, Z., & Shen, A. (2009) · Clinical Infectious Diseases · doi:10.1086/597034 · Cited by 31
Metadata
- Authors
- van Crevel, R., Ottenhoff, T. H. M., & van der Meer, J. W. M.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2002-04
- Volume
- 15
- Issue
- 2
- Pages
- 294-309
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2102888433
- Cited by
- 598
- References
- 11
- FWCI
- 10.89
- 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.