| Literature DB >> 34561552 |
An-Te Ou1,2,3, Jia-Xin Zhang1,4, Yue-Fei Fang1,5, Rong Wang1,6, Xue-Ping Tang1,5, Peng-Fei Zhao1,7, Yu-Ge Zhao8, Meng Zhang9, Yong-Zhuo Huang10,11,12,13.
Abstract
Sepsis is a dysregulated immune response to infection and potentially leads to life-threatening organ dysfunction, which is often seen in serious Covid-19 patients. Disulfiram (DSF), an old drug that has been used to treat alcohol addiction for decades, has recently been identified as a potent inhibitor of the gasdermin D (GSDMD)-induced pore formation that causes pyroptosis and inflammatory cytokine release. Therefore, DSF represents a promising therapeutic for the treatment of inflammatory disorders. Lactoferrin (LF) is a multifunctional glycoprotein with potent antibacterial and anti-inflammatory activities that acts by neutralizing circulating endotoxins and activating cellular responses. In addition, LF has been well exploited as a drug nanocarrier and targeting ligands. In this study, we developed a DSF-LF nanoparticulate system (DSF-LF NP) for combining the immunosuppressive activities of both DSF and LF. DSF-LF NPs could effectively block pyroptosis and inflammatory cytokine release from macrophages. Treatment with DSF-LF NPs showed remarkable therapeutic effects on lipopolysaccharide (LPS)-induced sepsis. In addition, this therapeutic strategy was also applied to treat ulcerative colitis (UC), and substantial treatment efficacy was achieved in a murine colitis model. The underlying mode of action of these DSF-LF-NPs may contribute to efficiently suppressing macrophage-mediated inflammatory responses and ameliorating the complications caused by sepsis and UC. As macrophage pyroptosis plays a pivotal role in inflammation, this safe and effective biomimetic nanomedicine may offer a versatile therapeutic strategy for treating various inflammatory diseases by repurposing DSF.Entities:
Keywords: disulfiram; inflammation; lactoferrin; macrophage-targeting delivery; pyroptosis; sepsis; ulcerative colitis
Mesh:
Substances:
Year: 2021 PMID: 34561552 PMCID: PMC8461433 DOI: 10.1038/s41401-021-00770-w
Source DB: PubMed Journal: Acta Pharmacol Sin ISSN: 1671-4083 Impact factor: 6.150
Fig. 1Characterization of the NPs.
a Size distribution and TEM of the blank LF NPs and DSF-LF NPs. b ζ potential of the blank LF NPs and DSF-LF NPs. c Stability of blank LF NPs and DSF-LF NPs in PBS containing 10% FBS. d In vitro release of DSF from the DSF-LF NPs. Data are presented by mean ± SD (n = 3).
Fig. 2DSF-LF NPs inhibit pyroptosis and protect against LPS-induced sepsis.
a Anti-pyroptosis effect of DSF-LF-NPs, reflected by cell viability determined by ATP levels. b Anti-pyroptosis effect of DSF-LF-NPs, reflected by IL-1β secretion. c, e Schematic diagram of sepsis induction and treatment. d Survival curve after a treatment regimen illustrated in (c). f Survival curve after a treatment regimen illustrated in (e). Data (mean ± SD, n = 3) was analyzed using one-way ANOVA (a, b) or log-rank (Mantel–Cox) test (d, f). *P < 0.05, **P < 0.01, ***P < 0.001.
Fig. 3In vivo treatment of DSS-induced colitis.
a Schematic diagram of colitis induction and treatment. b The body weight change in each group during each treatment. c Disease activity index (DAI) record for each group. d The colon length of each group was measured and statistically analyzed. e Histological examination of colons. Scale bar: 500 μm (upper panel), 100 μm (lower panel); red arrowhead: ulceration; blue arrowhead: crypt loss; red arrow: inflammatory cell infiltration of the colonic wall; yellow arrow: inflammatory cell infiltration of the sublayer of the colonic wall; blue arrow: goblet cell loss; black arrow: normal lymphoid tissue. Data were analyzed using two-tailed Student’s t test. Graphs in (b, d) show mean ± SD (n = 8 mice per group). The graph in (c) shows mean ± SD (n = 6 mice per group). *P < 0.05, **P < 0.01, ***P < 0.001; ns, not significant.
Fig. 4The preliminary evaluation of biosafety.
a Organ coefficients. b Histological examination of the major organs (scale bar = 100 μm). Data are expressed as mean ± SD (n = 5).