The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electrostatic Charge‐Mediated Apoptotic Vesicle Biodistribution Attenuates Sepsis by Switching Neutrophil NETosis to Apoptosis
Abstract
Mesenchymal stem cell (MSC) therapy can attenuate organ damage and reduce mortality in sepsis; however, the detailed mechanism is not fully elucidated. In this study, it is shown that MSC‐derived apoptotic vesicles (apoVs) can ameliorate multiple organ dysfunction and improve survival in septic mice. Mechanistically, it is found that tail vein‐infused apoVs mainly accumulate in the bone marrow of septic mice via electrostatic charge interactions with positively charged neutrophil extracellular traps (NETs). Moreover, apoVs switch neutrophils NETosis to apoptosis via the apoV‐Fas ligand (FasL)‐activated Fas pathway. In summary, these findings uncover a previously unknown role of apoVs in sepsis treatment and an electrostatic charge‐directed target therapeutic mechanism, suggesting that cell death is associated with disease development and therapy.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“reduce septicemia by modulating neutrophil apoptosis [182],”
From Emerging role of exosomes in cancer therapy: progress and challenges (2025) · cites this paper as [182]
Citations
Cites
Immunoregulatory mechanisms of mesenchymal stem and stromal cells in inflammatory diseases
Shi, Y., Wang, Y., Li, Q., Liu, K., Hou, J., Shao, C., & Wang, Y. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0023-5 · Cited by 1,223
Research works printed but not linked: 49
- 10.1182/blood.2019000067 · DOI
- 10.1016/j.immuni.2019.04.003 · DOI
- 10.1002/smll.202006123 · DOI
- Dos S. C., 2022, Eur. Respir. J., 1, 59
- 10.3389/fimmu.2019.01191 · DOI
- 10.1186/scrt385 · DOI
- 10.1038/s41422-018-0070-2 · DOI · Paper page
- 10.1021/acsnano.1c03517 · DOI · Paper page
- 10.1002/smll.201801674 · DOI
- 10.1038/s41586-020-2394-6 · DOI
- 10.1016/j.actbio.2016.08.050 · DOI
- 10.1161/CIRCULATIONAHA.120.046677 · DOI
- 10.1182/blood-2016-09-741298 · DOI
- 10.1182/blood-2013-09-526707 · DOI
- 10.1182/blood.2019001347 · DOI
- 10.1096/fj.201901360R · DOI
- 10.1002/smll.201801650 · DOI
- 10.1016/j.addr.2021.113961 · DOI
- 10.1002/jev2.12160 · DOI
- 10.1002/smll.201401803 · DOI
- 10.1126/sciadv.aaz6119 · DOI
- 10.1038/s41419-021-03883-6 · DOI
- 10.1016/j.tips.2020.06.009 · DOI · Paper page
- 10.1002/jev2.12109 · DOI · Paper page
- 10.1128/IAI.00942-19 · DOI
- 10.1002/smll.202003899 · DOI
- 10.1080/20013078.2020.1713527 · DOI
- 10.1002/smll.201903761 · DOI
- 10.1038/s41586-019-1167-6 · DOI
- 10.1016/j.jconrel.2020.07.042 · DOI
- 10.1182/blood.2020009957 · DOI
- 10.1182/blood.2019002329 · DOI
- 10.2147/IJN.S283164 · DOI
- 10.1002/smll.202007551 · DOI
- Sakurai K., 2017, In Vivo, 31, 1051
- 10.1038/s41419-020-2582-1 · DOI
- 10.7150/thno.60143 · DOI
- 10.1007/s10456-020-09720-2 · DOI
- 10.1016/j.apsb.2020.03.004 · DOI
- 10.1038/s41556-020-0575-z · DOI
- 10.1016/j.arr.2020.101250 · DOI
- 10.1096/fj.201701006R · DOI
- 10.1182/blood.2021011525 · DOI
- 10.1038/s41591-020-1050-x · DOI
- 10.1160/TH10-05-0269 · DOI · Paper page
- 10.1007/978-1-4939-3584-0_17 · DOI
- 10.1021/acs.accounts.9b00024 · DOI
- 10.1038/s41467-019-09160-7 · DOI
- 10.1177/0963689719842162 · DOI
Cited by
Sorted by citations
Emerging role of exosomes in cancer therapy: progress and challenges
Li, J., Wang, J., & Chen, Z. (2025) · Molecular Cancer · doi:10.1186/s12943-024-02215-4 · Cited by 297
Metadata
- Authors
- Ou, Q., Tan, L., Shao, Y., Lei, F., Huang, W., Yang, N., Qu, Y., Cao, Z., Niu, L., Liu, Y., Kou, X., & Shi, S.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2022-04-15
- Volume
- 18
- Issue
- 20
- ISSN
- 1613-6810
- 1613-6829
- Cited by
- 73
- References
- 1
- Language
- en
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