The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Milk-Derived Extracellular Vesicles in Inter-Organism, Cross-Species Communication and Drug Delivery
Open accessAbstract
Milk is considered as more than a source of nutrition for infants and is a vector involved in the transfer of bioactive compounds and cells. Milk contains abundant quantities of extracellular vesicles (EVs) that may originate from multiple cellular sources. These nanosized vesicles have been well characterized and are known to carry a diverse cargo of proteins, nucleic acids, lipids and other biomolecules. Milk-derived EVs have been demonstrated to survive harsh and degrading conditions in gut, taken up by various cell types, cross biological barriers and reach peripheral tissues. The cargo carried by these dietary EVs has been suggested to have a role in cell growth, development, immune modulation and regulation. Hence, there is considerable interest in understanding the role of milk-derived EVs in mediating inter-organismal and cross-species communication. Furthermore, various attributes such as it being a natural source, as well as its abundance, scalability, economic viability and lack of unwarranted immunologic reactions, has generated significant interest in deploying milk-derived EVs for clinical applications such as drug delivery and disease therapy. In this review, the role of milk-derived EVs in inter-organismal, cross-species communication and in drug delivery is discussed.
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
The biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
Shedding light on the cell biology of extracellular vesicles
van Niel, G., D'Angelo, G., & Raposo, G. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.125 · Cited by 8,369
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Tumour exosome integrins determine organotropic metastasis
Hoshino, A., Costa-Silva, B., Shen, T.-L., Rodrigues, G., Hashimoto, A., Tesic Mark, M., Molina, H., Kohsaka, S., Di Giannatale, A., Ceder, S., et al. (2015) · Nature · doi:10.1038/nature15756 · Cited by 5,101
Routes and mechanisms of extracellular vesicle uptake
Mulcahy, L. A., Pink, R. C., & Carter, D. R. F. (2014) · Journal of Extracellular Vesicles · doi:10.3402/jev.v3.24641 · Cited by 2,832
Exosomes facilitate therapeutic targeting of oncogenic KRAS in pancreatic cancer
Kamerkar, S., LeBleu, V. S., Sugimoto, H., Yang, S., Ruivo, C. F., Melo, S. A., Lee, J. J., & Kalluri, R. (2017) · Nature · doi:10.1038/nature22341 · Cited by 2,639
Regulation of immune responses by extracellular vesicles
Robbins, P. D., & Morelli, A. E. (2014) · Nature Reviews Immunology · doi:10.1038/nri3622 · Cited by 2,260
So depression is an inflammatory disease, but where does the inflammation come from?
Berk, M., Williams, L. J., Jacka, F. N., O’Neil, A., Pasco, J. A., Moylan, S., Allen, N. B., Stuart, A. L., Hayley, A. C., Byrne, M. L., et al. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-200 · Cited by 1,423
Zhang, L., Hou, D., Chen, X., Li, D., Zhu, L., Zhang, Y., Li, J., Bian, Z., Liang, X., Cai, X., et al. (2012) · Cell Research · doi:10.1038/cr.2011.158 · Cited by 1,216
Overcoming cellular barriers for RNA therapeutics
Dowdy, S. F. (2017) · Nature Biotechnology · doi:10.1038/nbt.3802 · Cited by 1,139
Cited by
Tong, L., Hao, H., Zhang, Z., Lv, Y., Liang, X., Liu, Q., Liu, T., Gong, P., Zhang, L., Cao, F., et al. (2021) · Theranostics · doi:10.7150/thno.62046 · Cited by 325
Xu, G., Jin, J., Fu, Z., Wang, G., Lei, X., Xu, J., & Wang, J. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02312-w · Cited by 269
Fuller, O. K., Whitham, M., Mathivanan, S., & Febbraio, M. A. (2020) · Cells · doi:10.3390/cells9102182 · Cited by 60
Self-citationExtracellular Vesicles and Their Interplay with Biological Membranes
Yeo Xian Ping, J., Raj Neupane, Y., & Pastorin, G. (2022) · Physiology · doi:10.5772/intechopen.101297 · Cited by 9
Metadata
- Authors
- Sanwlani, R., Fonseka, P., Chitti, S. V., & Mathivanan, S.
- Venue
- Proteomes
- Publisher
- MDPI AG
- Published
- 2020-05-13
- Volume
- 8
- Issue
- 2
- Pages
- 11
- ISSN
- 2227-7382 (ISSN-L)
- OpenAlex
- W3024392795
- Cited by
- 161
- References
- 16
- FWCI
- 5.88
- 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: Milk-Derived Extracellular Vesicles in Inter-Organism, Cross-Species Communication and Drug Delivery. https://app.cochat.ai/papers/10.3390/proteomes8020011
- The paper
- Sanwlani, R., Fonseka, P., Chitti, S. V., & Mathivanan, S. (2020). Milk-Derived Extracellular Vesicles in Inter-Organism, Cross-Species Communication and Drug Delivery. Proteomes. https://doi.org/10.3390/proteomes8020011
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.