Hong-Fa Yan’s research while affiliated with Sichuan University and other places

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Publications (4)


Cell density influences cell vulnerability to ferroptosis. (a, b) Dose‐dependent cell death induced by the ferroptosis inducer RSL3 in HT1080 (a) and N27 (b) cells after 12 h of treatment, detected by CCK‐8 assay. The IC50 values were 15.64, 51.29, 181.7, and 635.2 nM for HT1080 cells and 61, 82, 237, and 1259 nM for N27 cells. (c, d) Dose‐dependent cell death induced by the ferroptosis inducer ML162 in HT1080 (c) and N27 (d) cells after 12 h of treatment, detected by CCK‐8 assay. The IC50 values were 23, 47, 81, and 258 nM for HT1080 and 64, 192, 601, and 1294 nM for N27 cells. Data are means ± SEM, n = 3 wells from one representative of 2 independent experiments. (e) Lipid ROS production in HT1080 cells was assessed by C11‐BODIPY staining followed by flow cytometry after 12 h of 20 nM RSL3 treatment (degrees of freedom (DF) = 11, F value = 23.99, p value = 0.0002). (f) Lipid ROS production in N27 cells was assessed after 12 h of 60 nM RSL3 treatment (DF = 11, F value = 72.02, p value < 0.0001). For (e) and (f), representative flow cytometer images are shown on the left. Data are means ± SEM, n = 3 wells from one representative of 3 independent experiments. One‐way ANOVA with post‐hoc Tukey test was performed. (g, h) Dose‐dependent cell death induced by the apoptosis inducers staurosporine (STS) in HT1080 (g) or N27 (h) cells after 24 h of treatment, detected by CCK‐8 assay. Data are means ± SEM, n = 3 wells from one representative of 2 independent experiments. p value as indicated in the figure. Each point on the graph represents a sample.
Cell density affects intracellular ROS levels. (a, b) The representative images of H2DCFDA staining in HT1080 (a) and N27 (b) cells seeded with a density of 13% or 90% confluence. Scale bar: 200 μm. (c–f) The fluorescence intensity of H2DCFDA detected in HT1080 (c, DF = 10, F value = 5.941, p value < 0.0001), N27 (d, DF = 10, F value = 1.957, p value < 0.0001), HepG2 (e, DF = 10, F value = 2.675, p value < 0.0001), and MDA231 (f, DF = 10, F value = 14.9, p value < 0.0001) cells, respectively. Data are means ± SEM, n = 6 wells from one representative of 3 independent experiments. A two‐tailed t‐test was performed. p value as indicated in the figure. Each point on the graph represents a sample.
Cell density affects intracellular iron levels. (a, b) The representative images of FerroOrange staining in HT1080 (a) and N27 (b) cells seeded with a density of 13% or 90% confluence. Scale bar: 200 μm. (c–f) The fluorescence intensity of FerroOrange detected in HT1080 (c, DF = 10, F value = 4.870, p value < 0.0001), N27 (d, DF = 10, F value = 4.553, p value < 0.0001), HepG2 (e, DF = 10, F value = 4.509, p value < 0.0001), and MDA231 (f, DF = 10, F value = 37.59, p value < 0.0001) cells, respectively. Data are means ± SEM, n = 6 wells from one representative of 3 independent experiments. A two‐tailed t‐test was performed. (g, h) The iron levels in HT1080 (g, DF = 4, F value = 25, p value = 0.0009) and N27 (h, DF = 10, F value = 9.365, p value = 0.0411) cells, detected via ICP‐MS. Data plot: mean ± SEM.; n = 3, biological replicates. A two‐tailed t‐test was performed. (i, j) The level of intracellular ROS and Fe²⁺ in HT1080 cells, measured at 8 h (i, left: DF = 6, F value = 10.71, p value = 0.0085; right: DF = 6, F value = 10.44, p value = 0. 4140) and 12 h (j, left: DF = 6, F value = 2.004, p value = 0.0030; right: DF = 6, F value =4.630, p value = 0.0007) since plating. Data plot: mean ± SEM.; n = 4, biological replicates. The p values lower than 0.05 are labeled in the histogram; otherwise, the p values are not displayed. Each point on the graph represents a sample.
High cell density inhibits ferroptosis by reducing intracellular iron levels. (a, b) Cell viability measurement in 13%‐ and 90%‐confluence groups of HT1080 cells, which were incubated with RSL3 (a) or erastin (b) at a series of concentrations and treated with or without DFO (35 μM). (c) The representative images of FerroOrange staining in 13%‐ or 90%‐confluence groups of HT1080 cells, which were treated with DFO (35 μM) for 6 h, respectively. Scale bar: 200 μM. (d) The fluorescence intensity of FerroOrange (DF = 39, F value = 49.49, p value < 0.0001). Data are means ± SEM, n = 10 wells from one representative of 2 independent experiments. One‐way ANOVA with post‐hoc Tukey's test was performed. Each point on the graph represents a sample.
Differences in cell confluence drive changes of iron homeostatic mechanisms. (a–d) Immunoblot and quantifications of the iron‐responsive protein 1 (IRP1), iron‐responsive protein 2 (IRP2), ferroportin (Fpn), transferrin receptor (TfR), and β‐actin expression in HT1080 cells (a, IRP1: Df = 6, F value = 2.905, p value < 0.0001; IRP2: Df = 6, F value = 5.603, p value = 0.1003; Fpn: Df = 6, F value = 2.119, p value = 0.0009; TfR: Df = 6, F value = 5.862, p value = 0.8020), N27 cells (b, IRP1: Df = 6, F value = 3.106, p value = 0.0305; IRP2: Df = 6, F value = 1.110, p value = 0.8049; Fpn: Df = 6, F value = 1.127, p value = 0.4634; TfR: Df = 6, F value = 16.4, p value = 0.0005), HepG2 cells (C, IRP1: Df = 6, F value = 1.390, p value = 0.0140; IRP2: Df = 6, F value = 2.640, p value = 0.1325; Fpn: Df = 6, F value = 7.100, p value = 0.0047; TfR: Df = 6, F value = 2.795, p value = 0.8529), and MDA231 cells (d, IRP1: Df = 6, F value = 10.24, p value = 0.0122; IRP2: Df = 6, F value = 4.680, p value = 0.5617; Fpn: Df = 6, F value = 1.109, p value = 0.2873; TfR: Df = 6, F value = 3.937, p value = 0.0023). Data are means ± SEM, n = 4 wells from one representative of 3 independent experiments. A two‐tailed t‐test was performed.

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Cell density impacts the susceptibility to ferroptosis by modulating IRP1‐mediated iron homeostasis
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February 2024

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25 Reads

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7 Citations

Hong‐fa Yan

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Peng Lei

Ferroptosis has been implicated in several neurological disorders and may be therapeutically targeted. However, the susceptibility to ferroptosis varies in different cells, and inconsistent results have been reported even using the same cell line. Understanding the effects of key variables of in vitro studies on ferroptosis susceptibility is of critical importance to facilitate drug discoveries targeting ferroptosis. Here, we showed that increased cell seeding density leads to enhanced resistance to ferroptosis by reducing intracellular iron levels. We further identified iron‐responsive protein 1 (IRP1) as the key protein affected by cell density, which affects the expression of ferroportin or transferrin receptor and results in altered iron levels. Such observations were consistent across different cell lines, indicating that cell density should be tightly controlled in studies of ferroptosis. Since cell densities vary in different brain regions, these results may also shed light on selective regional vulnerability observed in neurological disorders. image

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Fig. 2 Thrombin is upregulated after acute cerebral ischemia/reperfusion. a The unimodal distributions of the protein intensities suggests no obvious degradation in samples. b Distribution of log2-transformed intensity of identified proteins in 6 samples. Black presents Contra, and red denotes Ipsi. c Principal-component analysis shows a clear separation between Contra (red) and Ipsi (water blue). d Sample volcano plot for MCAO mice model showing -log10 (p value) and logFC values for all proteins with highlighting for those that are significantly upregulated (red dots) or downregulated (blue dots) after MCAO, and the most changed protein -prothrombin was labeled. Proteins in black are not significantly changed after MCAO. e Reactome enrichment for the 75 upregulated (ratio Ipsi/Contra >2, and p < 0.05, t test) and 111 downregulated (ratio Ipsi/Contra <0.5, and p < 0.05, t test) proteins, based on the Metascape. 23 f Protein-protein interaction (PPI) analysis for the 75 upregulated proteins. The size and color for the node represent the ratio of Ipsi/Contra. g Levels of prothrombin assayed by mass spectrometry in the contralateral and ipsilateral hippocampus of mice 6 h after MCAO/R. Data are means ± SEM, n = 3. t test was performed. h Thrombin protein levels were examined from the contralateral and ipsilateral hippocampus of mice 6 h after MCAO/R. Western blots were analyzed with Image J and normalized to β-actin expression. Data are means ± SEM, n = 5. t test was performed
Fig. 7 Modulating ACSL4 expression altered the outcomes of acute ischemic brain injury. a Schematic of the experimental paradigm. b The location of AAV injection and ACSL4 expression in the brain of mice were verified. c Representative images of TTC staining of EGFP and ACSL4 OE mice 24 h after 30 min of MCAO. Quantification of infarction volume indicated by TTC staining using Image J. Data are means ± SEM, n = 5 animals per group. t test was performed. d The neurological score was performed at 0 h, 6 h, 24 h, 3 days, and 5 days after MCAO/R. Data are means ± SEM. EGFP, n = 7; ACSL4 OE, n = 9. Two-way ANOVA with post-hoc Sidak test was performed. e The performance on the rotarod test was analyzed at 1 day, 3 days, and 5 days after MCAO surgery. Data are means ± SEM. Sham, n = 6; EGFP, n = 7; ACSL4 OE, n = 9. Two-way ANOVA with post-hoc Tukey test was performed. f Representative images of TTC staining of EGFP and ACSL4 KO mice 24 h after 60 min of MCAO. Quantification of infarction volume indicated by TTC staining using Image J. Data are means ± SEM, n = 5 animals per group. t test was performed. g Neurological scoring was performed at 0 h, 6 h, 24 h, 3 days, and 5 days after MCAO/R. Data are means ± SEM, n = 6 animals per group. Two-way ANOVA with post-hoc Sidak test was performed. h The performance on the rotarod test was analyzed at 1 day, 3 days, and 5 days after MCAO surgery. Data are means ± SEM, n = 6 animals per group. Two-way ANOVA with post-hoc Tukey test was performed. i Neurological scoring was performed at 1, 6, and 24 h after permanent-MCAO. Data are means ± SEM. EGFP, n = 5; ACSL4 KO, n = 6. Two-way ANOVA with post-hoc Sidak test was performed. j Representative images of TTC staining of EGFP and ACSL4 KO mice 24 h after permanent-MCAO. Quantification of infarction volume indicated by TTC staining using Image J. Data are means ± SEM. EGFP, n = 5; ACSL4 KO, n = 6. t test was performed. k Representative images obtained from PeriCam PSI System. The brighter area indicates higher blood perfusion. l Cortical blood flow changes before and after MCAO/R in rats. m The neurological score was performed at 0, 6, and 24 h after MCAO/R in rats. Data are means ± SEM. EGFP, n = 9; ACSL4 KO, n = 12. Two-way ANOVA with post-hoc Sidak test was performed. n Representative TTC-stained serial brain sections of rats 24 h after MCAO/R, where viable tissue stains red. Quantification of infarction volume indicated by TTC staining using Image J. Data are means ± SEM. EGFP, n = 9; ACSL4 KO, n = 12. t test was performed
Thrombin induces ACSL4-dependent ferroptosis during cerebral ischemia/reperfusion

February 2022

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156 Reads

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186 Citations

Signal Transduction and Targeted Therapy

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Zheng Xiang

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Peng Lei

Ischemic stroke represents a significant danger to human beings, especially the elderly. Interventions are only available to remove the clot, and the mechanism of neuronal death during ischemic stroke is still in debate. Ferroptosis is increasingly appreciated as a mechanism of cell death after ischemia in various organs. Here we report that the serine protease, thrombin, instigates ferroptotic signaling by promoting arachidonic acid mobilization and subsequent esterification by the ferroptotic gene, acyl-CoA synthetase long-chain family member 4 (ACSL4). An unbiased multi-omics approach identified thrombin and ACSL4 genes/proteins, and their pro-ferroptotic phosphatidylethanolamine lipid products, as prominently altered upon the middle cerebral artery occlusion in rodents. Genetically or pharmacologically inhibiting multiple points in this pathway attenuated outcomes of models of ischemia in vitro and in vivo. Therefore, the thrombin-ACSL4 axis may be a key therapeutic target to ameliorate ferroptotic neuronal injury during ischemic stroke.


Fig. 2 Schematic description of the signaling pathway of ferroptosis. The indicated pathways control ferroptosis sensitivity via lipid ROS generation. Phosphatidylethanolamines (PE); phospholipid (PL-H); phospholipid alkoxyl radical (PL-O·); phospholipid peroxyl radical (PL-OO·); phospholipid hydroperoxide (PL-OOH); transferrin (TF). The symbols used in the figure have been marked with names of the biomolecules.
Summary of ferroptosis inducers.
Summary of ferroptosis inhibitors.
Ferroptosis: mechanisms and links with diseases

February 2021

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564 Reads

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892 Citations

Signal Transduction and Targeted Therapy

Ferroptosis is an iron-dependent cell death, which is different from apoptosis, necrosis, autophagy, and other forms of cell death. The process of ferroptotic cell death is defined by the accumulation of lethal lipid species derived from the peroxidation of lipids, which can be prevented by iron chelators (e.g., deferiprone, deferoxamine) and small lipophilic antioxidants (e.g., ferrostatin, liproxstatin). This review summarizes current knowledge about the regulatory mechanism of ferroptosis and its association with several pathways, including iron, lipid, and cysteine metabolism. We have further discussed the contribution of ferroptosis to the pathogenesis of several diseases such as cancer, ischemia/reperfusion, and various neurodegenerative diseases (e.g., Alzheimer’s disease and Parkinson’s disease), and evaluated the therapeutic applications of ferroptosis inhibitors in clinics.


Figure 1 Changes in the cytoplasmic environment during ischemia After ischemia, the amount of ATP in cells decreased with the lack of tissue energy supply. The resting potential maintained by active transport breaks down with the large outflow of calcium. Compensatory calcium influx activates downstream calcium-dependent signaling pathways. During this process, the mitochondria produce excess ROS.
Figure 2 The indicated pathways control the sensitivity of ferroptosis Lipid ROS accumulation is achieved through following major pathways: (1) iron promotes lipid oxidation by Fenton reaction; (2) the arachidonic acid (AA)-containing phosphatidylethanolamine (PE) (AA-PE)/adrenoyl (AdA)-PE is generated by acyl-CoA synthetase long-chain family member 4
The pathological role of ferroptosis in ischemia/reperfusion-related injury

April 2020

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490 Reads

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194 Citations

动物学研究

Ischemia/reperfusion (IR) is a pathological process that occurs in numerous organs throughout the human body, and it is frequently associated with severe cellular damage and death. Recently it has emerged that ferroptosis, a new form of regulated cell death that is caused by iron-dependent lipid peroxidation, plays a significantly detrimental role in many IR models. In this review, we aim to revise the pathological process of IR and then explore the molecular pathogenesis of ferroptosis. Furthermore, we aim to evaluate the role that ferroptosis plays in IR, providing evidence to support the targeting of ferroptosis in the IR pathway may present as a therapeutic intervention to alleviate IRI associated cell damage and death.

Citations (4)


... Mitophagy is intricately linked to the pathogenesis of a myriad of diseases, encompassing neurodegenerative disorders, cardiovascular diseases, cancers, and metabolic disorders (Ajoolabady et al. 2022;Aventaggiato et al. 2021;Malpartida et al. 2021;Yan et al. 2024). ...

Reference:

The dual function of mitophagy in ferroptosis
Cell density impacts the susceptibility to ferroptosis by modulating IRP1‐mediated iron homeostasis

... Subsequently, we further measured the expression levels of several ferroptosis-related proteins, including FTH1, TFR1, and ACSL4, in RPE of CNV mice. FTH1, a critical subunit of ferritin, facilitates the oxidation of harmful ferrous iron to maintain cellular homeostasis [13]; TFR1 facilitates cellular uptake of transferrinbound iron [14]; and ACSL4 aids in integrating polyunsaturated fatty acids into phospholipids, promoting lipid peroxidation [15]. Our results showed upregulated expression levels of these proteins in RPE of CNV mice (Fig. 2G, H), suggesting abnormal intracellular iron homeostasis, heightened cellular uptake of transferrin-bound iron, and enhanced intracellular lipid peroxidation levels. ...

Thrombin induces ACSL4-dependent ferroptosis during cerebral ischemia/reperfusion

Signal Transduction and Targeted Therapy

... Ferroptosis, an iron-dependent programmed cell death, is marked by lipid peroxidation accumulation and mitochondrial dysfunction (Dixon et al. 2012). Its biological nature is very different from cell death such as autophagy, apoptosis, or necrosis (Yang et al. 2014), which provides a new perspective for the study of diseases such as cancer, cardiovascular disease, ischemic reperfusion injury, neurological disease, and kidney injury (Lapenna et al. 2018;Lin et al. 2016;Yan et al. 2021). Recent studies have shown that ferroptosis plays a key role in cardiomyocyte apoptosis. ...

Ferroptosis: mechanisms and links with diseases

Signal Transduction and Targeted Therapy

... However, unlike adipose tissue, the 12 brain is believed to largely utilize acylated lipids to generate phospholipids for cell 13 membranes (Manni et al., 2018). Since the brain is in demand for oxygen and energy 14 from the bloodstream, it is extremely sensitive to ischemia and hypoxia(Lee et al., 2000; 15 Li et al., 2023; Yan et al., 2020). Animal experiments have shown that cerebral ischemia 16 can cause a significant increase in iron content in brain tissue(Tuo et al., 2017), a 17 significant increase in arachidonic acid (AA) released from phospholipids (PLs), 18 abnormal lipid metabolism(Tuo et al., 2022a), as well as a loss of lipid peroxidation 19 repair ability caused by excessive consumption of glutathione peroxidase 4 (GPx4)(Tuo 20 et al., 2021a). ...

The pathological role of ferroptosis in ischemia/reperfusion-related injury

动物学研究