The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Cellular senescence increases expression of bacterial ligands in the lungs and is positively correlated with increased susceptibility to pneumococcal pneumonia
Open accessAbstract
Summary: Cellular senescence is an age‐associated phenomenon that promotes tumor invasiveness owing to the secretion of proinflammatory cytokines, proteases, and growth factors. Herein we demonstrate that cellular senescence also potentially increases susceptibility to bacterial pneumonia caused by Streptococcus pneumoniae (the pneumococcus), the leading cause of infectious death in the elderly. Aged mice had increased lung inflammation as determined by cytokine analysis and histopathology of lung sections. Immunoblotting for p16, pRb, and mH2A showed that elderly humans and aged mice had increased levels of these senescence markers in their lungs vs. young controls. Keratin 10 (K10), laminin receptor (LR), and platelet‐activating factor receptor (PAFr), host proteins known to be co‐opted for bacterial adhesion, were also increased. Aged mice were found to be highly susceptible to pneumococcal challenge in a PsrP, the pneumococcal adhesin that binds K10, dependent manner. In vitro senescent A549 lung epithelial cells had elevated K10 and LR protein levels and were up to 5‐fold more permissive for bacterial adhesion. Additionally, exposure of normal cells to conditioned media from senescent cells doubled PAFr levels and pneumococcal adherence. Genotoxic stress induced by bleomycin and oxidative stress enhanced susceptibility of young mice to pneumonia and was positively correlated with enhanced p16, inflammation, and LR levels. These findings suggest that cellular senescence facilitates bacterial adhesion to cells in the lungs and provides an additional molecular mechanism for the increased incidence of community‐acquired pneumonia in the elderly. This study is the first to suggest a second negative consequence for the senescence‐associated secretory phenotype.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Further, age-associated changes in genomic instability, telomere shortening, epigenetic alterations, cellular senescence, impaired autophagy, and mitochondrial dysfunction may promote IPF development and progression (3, 12, 62, 84, 88, 89, 116, 145).”
From Aging and Lung Disease (2020) · cites this paper as [62]
In the citing paper
“Bacteria, especially Streptococcus pneumoniae, are the most common pathogens that commonly cause CAP in the elderly (62).”
From Aging and Lung Disease (2020) · cites this paper as [62]
In the citing paper
“Age-associated alterations in immune surveillance, specifically decreased innate and adaptive immune responses, and dysfunctional immune response regulation can be responsible for increased lung pathology in response to infectious stimuli (3, 62, 106, 110, 114, 135).”
From Aging and Lung Disease (2020) · cites this paper as [62]
In the citing paper
“Upregulation of epithelial cell surface receptors in response to chronic inflammation increases bacterial adhesion and accumulation in the aged lung and correlates with susceptibility to pneumonia (62, 97).”
From Aging and Lung Disease (2020) · cites this paper as [62]
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 biomarker that identifies senescent human cells in culture and in aging skin in vivo.
Dimri, G. P., Lee, X., Basile, G., Acosta, M., Scott, G., Roskelley, C., Medrano, E. E., Linskens, M., Rubelj, I., & Pereira-Smith, O. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.20.9363 · Cited by 7,477
Lopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68770-9 · Cited by 5,630
The senescence-associated secretory phenotype: the dark side of tumor suppression
Coppé, J.-P., Desprez, P.-Y., Krtolica, A., & Campisi, J. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102144 · Cited by 5,206
Cellular senescence: when bad things happen to good cells
Campisi, J., & d'Adda di Fagagna, F. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2233 · Cited by 4,441
Senescent cells, tumor suppression, and organismal aging: good citizens, bad neighbors
Campisi, J. (2005) · Cell · doi:10.1016/j.cell.2005.02.003 · Cited by 2,379
Debacq-Chainiaux, F., Erusalimsky, J. D., Campisi, J., & Toussaint, O. (2009) · Nature Protocols · doi:10.1038/nprot.2009.191 · Cited by 1,668
Cundell, D. R., Gerard, N. P., Gerard, C. J., Idänpään‐Heikkilä, I., & TUOMANEN, E. I. (1995) · Nature · doi:10.1038/377435a0 · Cited by 741
Lexau, C. (2005) · JAMA · doi:10.1001/jama.294.16.2043 · Cited by 671
Bacterial Adhesins in Host-Microbe Interactions
Kline, K. A., Fälker, S., Dahlberg, S., Normark, S. J., & Henriques‐Normark, B. (2009) · Cell Host & Microbe · doi:10.1016/j.chom.2009.05.011 · Cited by 635
Chronic Obstructive Pulmonary Disease (COPD)
Senior, R. M., & Anthonisen, N. R. (1998) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.157.4.nhlbi-12 · Cited by 341
Research works printed but not linked: 1
- Kinsella K, 2001, An Aging World: 2001
Cited by
Sorted by citations
The aging lung: Physiology, disease, and immunity
Schneider, J. L., Rowe, J. H., Garcia-de-Alba, C., Kim, C. F., Sharpe, A. H., & Haigis, M. C. (2021) · Cell · doi:10.1016/j.cell.2021.03.005 · Cited by 500
Cho, S. J., & Stout-Delgado, H. W. (2020) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021119-034610 · Cited by 458
Macrophages in age-related chronic inflammatory diseases
Oishi, Y., & Manabe, I. (2016) · npj Aging and Mechanisms of Disease · doi:10.1038/npjamd.2016.18 · Cited by 262
Senescent cells: SASPected drivers of age-related pathologies
Ovadya, Y., & Krizhanovsky, V. (2014) · Biogerontology · doi:10.1007/s10522-014-9529-9 · Cited by 232
Mitochondria, telomeres and cell senescence: Implications for lung ageing and disease
Birch, J., Barnes, P. J., & Passos, J. F. (2017) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2017.10.005 · Cited by 174
Metadata
- Authors
- Shivshankar, P., Boyd, A. R., Le Saux, C. J., Yeh, I., & Orihuela, C. J.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- Corresponding author
- Orihuela, Carlos J.
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2011-06-14
- Volume
- 10
- Issue
- 5
- Pages
- 798-806
- ISSN
- 1474-9718 (ISSN-L)
- 1474-9726
- PMC
- PMC3173515
- OpenAlex
- W1569854985
- Cited by
- 117
- References
- 37
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 10 · 2023: 9 · 2022: 4 · 2021: 14 · 2020: 6 · 2019: 6 · 2018: 8 · 2017: 6 · 2016: 5 · 2015: 8 · 2014: 9 · 2013: 15 · 2012: 7
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Aging Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (AG092313, R21AG029313, AG033274, R21AG033274)
- National Institute of Allergy and Infectious Diseases (R01AI078972, AI078972)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Health Sciences › Medicine › Epidemiology › Pneumonia and Respiratory Infections
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- cellular senescence, pneumococcal pneumonia, Streptococcus pneumoniae, bacterial adhesion, keratin 10, laminin receptor, platelet-activating factor receptor, senescence-associated secretory phenotype, lung inflammation, p16, oxidative stress, genotoxic stress, aged mice, bacterial ligands
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Aging, Animals, Bacterial Adhesion, Bleomycin, Disease Susceptibility, Female, Humans, Immunohistochemistry, Inflammation, Lung, Mice, Inbred BALB C, Middle Aged, Pneumonia, Pneumococcal, Streptococcus pneumoniae, Immunoblotting, Biomarkers, Cytokines, Cellular Senescence, Receptors, Laminin, Oxidative Stress, Cell Line, Tumor, Mice, Kaplan-Meier Estimate, Keratin-10
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