The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Proliferating SPP1/MERTK-expressing macrophages in idiopathic pulmonary fibrosis
Open accessAbstract
A comprehensive understanding of the changes in gene expression in cell types involved in idiopathic pulmonary fibrosis (IPF) will shed light on the mechanisms underlying the loss of alveolar epithelial cells and development of honeycomb cysts and fibroblastic foci. We sought to understand changes in IPF lung cell transcriptomes and gain insight into innate immune aspects of pathogenesis. We investigated IPF pathogenesis using single-cell RNA-sequencing of fresh lung explants, comparing human IPF fibrotic lower lobes reflecting late disease, upper lobes reflecting early disease and normal lungs. IPF lower lobes showed increased fibroblasts, and basal, ciliated, goblet and club cells, but decreased alveolar epithelial cells, and marked alterations in inflammatory cells. We found three discrete macrophage subpopulations in normal and fibrotic lungs, one expressing monocyte markers, one highly expressing FABP4 and INHBA(FABP4 hi), and one highly expressing SPP1 and MERTK(SPP1 hi). SPP1 hi macrophages in fibrotic lower lobes showed highly upregulated SPP1 and MERTK expression. Low-level local proliferation of SPP1 hi macrophages in normal lungs was strikingly increased in IPF lungs. Co-localisation and causal modelling supported the role for these highly proliferative SPP1 hi macrophages in activation of IPF myofibroblasts in lung fibrosis. These data suggest that SPP1 hi macrophages contribute importantly to lung fibrosis in IPF, and that therapeutic strategies targeting MERTK and macrophage proliferation may show promise for treatment of this disease.
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
Fadok, V. A., Bratton, D. L., Konowal, A., Freed, P. W., Westcott, J. Y., & Henson, P. M. (1998) · Journal of Clinical Investigation · doi:10.1172/jci1112 · Cited by 3,166
A Lineage of Myeloid Cells Independent of Myb and Hematopoietic Stem Cells
Schulz, C., Perdiguero, E. G., Chorro, L., Szabo-Rogers, H., Cagnard, N., Kierdorf, K., Prinz, M., Wu, B., Jacobsen, S. E. W., Pollard, J. W., et al. (2012) · Science · doi:10.1126/science.1219179 · Cited by 2,578
Hashimoto, D., Chow, A., Noizat, C., Teo, P., Beasley, M. B., Leboeuf, M., Becker, C. D., See, P., Price, J., Lucas, D., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.04.004 · Cited by 2,311
Davies, L. C., Jenkins, S. J., Allen, J. E., & Taylor, P. R. (2013) · Nature Immunology · doi:10.1038/ni.2705 · Cited by 2,096
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Treutlein, B., Brownfield, D. G., Wu, A. R., Neff, N. F., Mantalas, G. L., Espinoza, F. H., Desai, T. J., Krasnow, M. A., & Quake, S. R. (2014) · Nature · doi:10.1038/nature13173 · Cited by 1,342
Phagocytosis and clearance of apoptotic cells is mediated by MER
Scott, R. S., McMahon, E. J., Pop, S. M., Reap, E. A., Caricchio, R., Cohen, P. L., Earp, H. S., & Matsushima, G. K. (2001) · Nature · doi:10.1038/35075603 · Cited by 1,215
Reyfman, P. A., Walter, J. M., Joshi, N., Anekalla, K. R., McQuattie-Pimentel, A. C., Chiu, S., Fernandez, R., Akbarpour, M., Chen, C.-I., Ren, Z., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201712-2410oc · Cited by 1,203
Monocyte-derived alveolar macrophages drive lung fibrosis and persist in the lung over the life span
Misharin, A. V., Morales-Nebreda, L., Reyfman, P. A., Cuda, C. M., Walter, J. M., McQuattie-Pimentel, A. C., Chen, C.-I., Anekalla, K. R., Joshi, N., Williams, K. J. N., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20162152 · Cited by 1,133
Lee, C. G., Homer, R. J., Zhu, Z., Lanone, S., Wang, X., Koteliansky, V., Shipley, J. M., Gotwals, P., Noble, P., Chen, Q., et al. (2001) · The Journal of Experimental Medicine · doi:10.1084/jem.194.6.809 · Cited by 940
Microglial Phagocytosis of Live Neurons
Brown, G. C., & Neher, J. J. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3710 · Cited by 853
Cited by
Dictionary learning for integrative, multimodal and scalable single-cell analysis
Hao, Y., Stuart, T., Kowalski, M. H., Choudhary, S., Hoffman, P., Hartman, A., Srivastava, A., Molla, G., Madad, S., Fernandez-Granda, C., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01767-y · Cited by 5,631
Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19
Liao, M., Liu, Y., Yuan, J., Wen, Y., Xu, G., Zhao, J., Cheng, L., Li, J., Wang, X., Wang, F., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0901-9 · Cited by 2,614
Adams, T. S., Schupp, J. C., Poli, S., Ayaub, E. A., Neumark, N., Ahangari, F., Chu, S. G., Raby, B. A., DeIuliis, G., Januszyk, M., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba1983 · Cited by 1,420
Habermann, A. C., Gutierrez, A. J., Bui, L. T., Yahn, S. L., Winters, N. I., Calvi, C. L., Peter, L., Chung, M.-I., Taylor, C. J., Jetter, C., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba1972 · Cited by 1,129
Tsukui, T., Sun, K.-H., Wetter, J. B., Wilson-Kanamori, J. R., Hazelwood, L. A., Henderson, N. C., Adams, T. S., Schupp, J. C., Poli, S. D., Rosas, I. O., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15647-5 · Cited by 765
Spatial multi-omic map of human myocardial infarction
Kuppe, C., Ramirez Flores, R. O., Li, Z., Hayat, S., Levinson, R. T., Liao, X., Hannani, M. T., Tanevski, J., Wünnemann, F., Nagai, J. S., et al. (2022) · Nature · doi:10.1038/s41586-022-05060-x · Cited by 772
SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis
Wendisch, D., Dietrich, O., Mari, T., von Stillfried, S., Ibarra, I. L., Mittermaier, M., Mache, C., Chua, R. L., Knoll, R., Timm, S., et al. (2021) · Cell · doi:10.1016/j.cell.2021.11.033 · Cited by 528
Tissue macrophages: origin, heterogenity, biological functions, diseases and therapeutic targets
Guan, F., Wang, R., Yi, Z., Luo, P., Liu, W., Xie, Y., Liu, Z., Xia, Z., Zhang, H., & Cheng, Q. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02124-y · Cited by 371
Identification of a broadly fibrogenic macrophage subset induced by type 3 inflammation
Fabre, T., Barron, A. M. S., Christensen, S. M., Asano, S., Bound, K., Lech, M. P., Wadsworth, M. H., Chen, X., Wang, C., Wang, J., et al. (2023) · Science Immunology · doi:10.1126/sciimmunol.add8945 · Cited by 355
Idiopathic Pulmonary Fibrosis: An Update on Pathogenesis
Mei, Q., Liu, Z., Zuo, H., Yang, Z., & Qu, J. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.797292 · Cited by 360
Joshi, N., Watanabe, S., Verma, R., Jablonski, R. P., Chen, C.-I., Cheresh, P., Markov, N. S., Reyfman, P. A., McQuattie-Pimentel, A. C., Sichizya, L., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.00646-2019 · Cited by 344
The lung microenvironment shapes a dysfunctional response of alveolar macrophages in aging
McQuattie-Pimentel, A. C., Ren, Z., Joshi, N., Watanabe, S., Stoeger, T., Chi, M., Lu, Z., Sichizya, L., Aillon, R. P., Chen, C.-I., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci140299 · Cited by 177
Dwyer, D. F., Ordovas-Montanes, J., Allon, S. J., Buchheit, K. M., Vukovic, M., Derakhshan, T., Feng, C., Lai, J., Hughes, T. K., Nyquist, S. K., et al. (2021) · Science Immunology · doi:10.1126/sciimmunol.abb7221 · Cited by 175
Bhattacharya, M., & Ramachandran, P. (2023) · Nature Immunology · doi:10.1038/s41590-023-01551-9 · Cited by 148
Cheng, J., Zhang, J., Wu, Z., & Sun, X. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa327 · Cited by 125
Senotherapeutics: targeting senescence in idiopathic pulmonary fibrosis
Merkt, W., Bueno, M., Mora, A. L., & Lagares, D. (2020) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2019.12.008 · Cited by 119
Self-citationCategorization of lung mesenchymal cells in development and fibrosis
Liu, X., Rowan, S. C., Liang, J., Yao, C., Huang, G., Deng, N., Xie, T., Wu, D., Wang, Y., Burman, A., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102551 · Cited by 91
Immune cell dysregulation as a mediator of fibrosis in systemic sclerosis
Fang, D., Chen, B., Lescoat, A., Khanna, D., & Mu, R. (2022) · Nature Reviews Rheumatology · doi:10.1038/s41584-022-00864-7 · Cited by 84
Ahangari, F., Price, N. L., Malik, S., Chioccioli, M., Bärnthaler, T., Adams, T. S., Kim, J., Pradeep, S. P., Ding, S., Cosmos, C., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.158100 · Cited by 70
Heimberg, G., Kuo, T., DePianto, D., Heigl, T., Diamant, N., Salem, O., Scalia, G., Biancalani, T., Turley, S., Rock, J., et al. (2023) · doi:10.1101/2023.07.18.549537 · Cited by 40
Amplification of autoimmune organ damage by NKp46-activated ILC1s
Biniaris-Georgallis, S.-I., Aschman, T., Stergioula, K., Schreiber, F., Jafari, V., Taranko, A., Karmalkar, T., Kasapi, A., Lenac Rovis, T., Jelencic, V., et al. (2024) · Nature · doi:10.1038/s41586-024-07907-x · Cited by 34
Wan, H., Huang, X., Cong, P., He, M., Chen, A., Wu, T., Dai, D., Li, W., Gao, X., Tian, L., et al. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.711239 · Cited by 33
Uhlig, M., Billig, S., Wienhold, J., & Schumacher, D. (2025) · Cells · doi:10.3390/cells14050345 · Cited by 29
Gu, X., Kang, H., Cao, S., Tong, Z., & Song, N. (2025) · Translational Research · doi:10.1016/j.trsl.2024.10.002 · Cited by 28
Morrell, E. D., Holton, S. E., Lawrance, M., Orlov, M., Franklin, Z., Mitchem, M. A., DeBerg, H., Gersuk, V. H., Garay, A., Barnes, E., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43223-0 · Cited by 20
The Role of Osteopontin in Respiratory Health and Disease
Barkas, G. I., & Kotsiou, O. S. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13081259 · Cited by 16
Okabe, Y., Toda, E., Urushiyama, H., Terashima, Y., Kunugi, S., Kajimoto, Y., Terasaki, M., Matsushima, K., Saito, A., Yamauchi, Y., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-71770-z · Cited by 14
M. S. Barron, A., Fabre, T., & De, S. (2024) · F1000Research · doi:10.12688/f1000research.143472.1 · Cited by 8
Metadata
- Authors
- Morse, C., Tabib, T., Sembrat, J., Buschur, K. L., Bittar, H. T., Valenzi, E., Jiang, Y., Kass, D. J., Gibson, K., Chen, W., Mora, A., Benos, P. V., Rojas, M., & Lafyatis, R.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2019-06-20
- Volume
- 54
- Issue
- 2
- Pages
- 1802441
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2951858660
- Cited by
- 822
- References
- 12
- FWCI
- 38.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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.