The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Interplay of Lung Surfactant Proteins and Lipids Assimilates the Macrophage Clearance of Nanoparticles
Open accessAbstract
The peripheral lungs are a potential entrance portal for nanoparticles into the human body due to their large surface area. The fact that nanoparticles can be deposited in the alveolar region of the lungs is of interest for pulmonary drug delivery strategies and is of equal importance for toxicological considerations. Therefore, a detailed understanding of nanoparticle interaction with the structures of this largest and most sensitive part of the lungs is important for both nanomedicine and nanotoxicology. Astonishingly, there is still little known about the bio-nano interactions that occur after nanoparticle deposition in the alveoli. In this study, we compared the effects of surfactant-associated protein A (SP-A) and D (SP-D) on the clearance of magnetite nanoparticles (mNP) with either more hydrophilic (starch) or hydrophobic (phosphatidylcholine) surface modification by an alveolar macrophage (AM) cell line (MH-S) using flow cytometry and confocal microscopy. Both proteins enhanced the AM uptake of mNP compared with pristine nanoparticles; for the hydrophilic ST-mNP, this effect was strongest with SP-D, whereas for the hydrophobic PL-mNP it was most pronounced with SP-A. Using gel electrophoretic and dynamic light scattering methods, we were able to demonstrate that the observed cellular effects were related to protein adsorption and to protein-mediated interference with the colloidal stability. Next, we investigated the influence of various surfactant lipids on nanoparticle uptake by AM because lipids are the major surfactant component. Synthetic surfactant lipid and isolated native surfactant preparations significantly modulated the effects exerted by SP-A and SP-D, respectively, resulting in comparable levels of macrophage interaction for both hydrophilic and hydrophobic nanoparticles. Our findings suggest that because of the interplay of both surfactant lipids and proteins, the AM clearance of nanoparticles is essentially the same, regardless of different intrinsic surface properties.
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
Deposition and biokinetics of inhaled nanoparticles
Geiser, M., & Kreyling, W. G. (2010) · Particle and Fibre Toxicology · doi:10.1186/1743-8977-7-2 · Cited by 747
Surfactant proteins SP-A and SP-D: structure, function and receptors
Kishore, U., Greenhough, T. J., Waters, P., Shrive, A. K., Ghai, R., Kamran, M. F., Bernal, A. L., Reid, K. B. M., Madan, T., & Chakraborty, T. (2006) · Molecular Immunology · doi:10.1016/j.molimm.2005.08.004 · Cited by 523
Cited by
Toxicity of graphene-family nanoparticles: a general review of the origins and mechanisms
Ou, L., Song, B., Liang, H., Liu, J., Feng, X., Deng, B., Sun, T., & Shao, L. (2016) · Particle and Fibre Toxicology · doi:10.1186/s12989-016-0168-y · Cited by 803
Pöschl, U., & Shiraiwa, M. (2015) · Chemical Reviews · doi:10.1021/cr500487s · Cited by 657
Thorley, A. J., Ruenraroengsak, P., Potter, T. E., & Tetley, T. D. (2014) · ACS Nano · doi:10.1021/nn505399e · Cited by 146
McKenzie, Z., Kendall, M., Mackay, R.-M., Whitwell, H., Elgy, C., Ding, P., Mahajan, S., Morgan, C., Griffiths, M., Clark, H., et al. (2015) · Nanotoxicology · doi:10.3109/17435390.2014.992487 · Cited by 31
Metadata
- Authors
- Ruge, C. A., Schaefer, U. F., Herrmann, J., Kirch, J., Cañadas, O., Echaide, M., Pérez-Gil, J., Casals, C., Müller, R., & Lehr, C.-M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-07-10
- Volume
- 7
- Issue
- 7
- Pages
- e40775
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2083648308
- Cited by
- 165
- References
- 2
- FWCI
- 6.25
- 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: The Interplay of Lung Surfactant Proteins and Lipids Assimilates the Macrophage Clearance of Nanoparticles. https://app.cochat.ai/papers/10.1371/journal.pone.0040775
- The paper
- Ruge, C. A., Schaefer, U. F., Herrmann, J., Kirch, J., Cañadas, O., Echaide, M., Pérez-Gil, J., Casals, C., Müller, R., & Lehr, C.-M. (2012). The Interplay of Lung Surfactant Proteins and Lipids Assimilates the Macrophage Clearance of Nanoparticles. PLoS ONE. https://doi.org/10.1371/journal.pone.0040775
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.