The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Exacerbated Innate Host Response to SARS-CoV in Aged Non-Human Primates
Open accessAbstract
The emergence of viral respiratory pathogens with pandemic potential, such as severe acute respiratory syndrome coronavirus (SARS-CoV) and influenza A H5N1, urges the need for deciphering their pathogenesis to develop new intervention strategies. SARS-CoV infection causes acute lung injury (ALI) that may develop into life-threatening acute respiratory distress syndrome (ARDS) with advanced age correlating positively with adverse disease outcome. The molecular pathways, however, that cause virus-induced ALI/ARDS in aged individuals are ill-defined. Here, we show that SARS-CoV-infected aged macaques develop more severe pathology than young adult animals, even though viral replication levels are similar. Comprehensive genomic analyses indicate that aged macaques have a stronger host response to virus infection than young adult macaques, with an increase in differential expression of genes associated with inflammation, with NF-kappaB as central player, whereas expression of type I interferon (IFN)-beta is reduced. Therapeutic treatment of SARS-CoV-infected aged macaques with type I IFN reduces pathology and diminishes pro-inflammatory gene expression, including interleukin-8 (IL-8) levels, without affecting virus replication in the lungs. Thus, ALI in SARS-CoV-infected aged macaques developed as a result of an exacerbated innate host response. The anti-inflammatory action of type I IFN reveals a potential intervention strategy for virus-induced ALI.
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
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Pathogen Recognition and Innate Immunity
Akira, S., Uematsu, S., & Takeuchi, O. (2006) · Cell · doi:10.1016/j.cell.2006.02.015 · Cited by 11,952
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Inflamm‐aging: An Evolutionary Perspective on Immunosenescence
FRANCESCHI, C., BONAFÈ, M., VALENSIN, S., OLIVIERI, F., DE LUCA, M., OTTAVIANI, E., & DE BENEDICTIS, G. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06651.x · Cited by 5,358
The Acute Respiratory Distress Syndrome
Matthay, M. A. (1996) · New England Journal of Medicine · doi:10.1056/nejm199605303342209 · Cited by 4,923
The Acute Respiratory Distress Syndrome
Ware, L. B., & Matthay, M. A. (2000) · New England Journal of Medicine · doi:10.1056/nejm200005043421806 · Cited by 4,666
Huber, W., von Heydebreck, A., Sültmann, H., Poustka, A., & Vingron, M. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.suppl_1.s96 · Cited by 2,440
Peiris, J., Chu, C., Cheng, V., Chan, K., Hung, I., Poon, L., Law, K., Tang, B., Hon, T., Chan, C., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13412-5 · Cited by 2,375
Imai, Y., Kuba, K., Neely, G. G., Yaghubian-Malhami, R., Perkmann, T., van Loo, G., Ermolaeva, M., Veldhuizen, R., Leung, Y. H. C., Wang, H., et al. (2008) · Cell · doi:10.1016/j.cell.2008.02.043 · Cited by 1,356
Cited by
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
The pathogenesis and treatment of the `Cytokine Storm' in COVID-19
Ye, Q., Wang, B., & Mao, J. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.037 · Cited by 2,761
Channappanavar, R., & Perlman, S. (2017) · Seminars in Immunopathology · doi:10.1007/s00281-017-0629-x · Cited by 2,524
Pathogenic T-cells and inflammatory monocytes incite inflammatory storms in severe COVID-19 patients
Zhou, Y., Fu, B., Zheng, X., Wang, D., Zhao, C., Qi, Y., Sun, R., Tian, Z., Xu, X., & Wei, H. (2020) · National Science Review · doi:10.1093/nsr/nwaa041 · Cited by 1,295
Lamers, M. M., & Haagmans, B. L. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00713-0 · Cited by 983
Self-citation
Metadata
- Authors
- Smits, S. L., de Lang, A., van den Brand, J. M. A., Leijten, L. M., van IJcken, W. F., Eijkemans, M. J. C., van Amerongen, G., Kuiken, T., Andeweg, A. C., Osterhaus, A. D. M. E., & Haagmans, B. L.
- Venue
- PLoS Pathogens
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-02-05
- Volume
- 6
- Issue
- 2
- Pages
- e1000756
- ISSN
- 1553-7366 (ISSN-L)
- 1553-7374
- OpenAlex
- W1984064716
- Cited by
- 335
- References
- 67
- FWCI
- 6.53
- 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: Exacerbated Innate Host Response to SARS-CoV in Aged Non-Human Primates. https://app.cochat.ai/papers/10.1371/journal.ppat.1000756
- The paper
- Smits, S. L., de Lang, A., van den Brand, J. M. A., Leijten, L. M., van IJcken, W. F., Eijkemans, M. J. C., van Amerongen, G., Kuiken, T., Andeweg, A. C., Osterhaus, A. D. M. E., & Haagmans, B. L. (2010). Exacerbated Innate Host Response to SARS-CoV in Aged Non-Human Primates. PLoS Pathogens. https://doi.org/10.1371/journal.ppat.1000756
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.