Abstract
Background
Thrombocytopenia is one of the most common hematological disease that can be life-threatening caused by bleeding complications. However, the treatment options for thrombocytopenia remain limited.
Methods
In this study, giemsa staining, phalloidin staining, immunofluorescence and flow cytometry were used to identify the effects of 3,3ʹ-di-O-methylellagic acid 4ʹ-glucoside (DMAG), a natural ellagic acid derived from Sanguisorba officinalis L. (SOL) on megakaryocyte differentiation in HEL cells. Then, thrombocytopenia mice model was constructed by X-ray irradiation to evaluate the therapeutic action of DMAG on thrombocytopenia. Furthermore, the effects of DMAG on platelet function were evaluated by tail bleeding time, platelet aggregation and platelet adhesion assays. Next, network pharmacology approaches were carried out to identify the targets of DMAG. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to elucidate the underling mechanism of DMAG against thrombocytopenia. Finally, molecular docking simulation, molecular dynamics simulation and western blot analysis were used to explore the relationship between DAMG with its targets.
Results
DMAG significantly promoted megakaryocyte differentiation of HEL cells. DMAG administration accelerated platelet recovery and megakaryopoiesis, shortened tail bleeding time, strengthened platelet aggregation and adhesion in thrombocytopenia mice. Network pharmacology revealed that ITGA2B, ITGB3, VWF, PLEK, TLR2, BCL2, BCL2L1 and TNF were the core targets of DMAG. GO and KEGG pathway enrichment analyses suggested that the core targets of DMAG were enriched in PI3K–Akt signaling pathway, hematopoietic cell lineage, ECM-receptor interaction and platelet activation. Molecular docking simulation and molecular dynamics simulation further indicated that ITGA2B, ITGB3, PLEK and TLR2 displayed strong binding ability with DMAG. Finally, western blot analysis evidenced that DMAG up-regulated the expression of ITGA2B, ITGB3, VWF, p-Akt and PLEK.
Conclusion
DMAG plays a critical role in promoting megakaryocytes differentiation and platelets production and might be a promising medicine for the treatment of thrombocytopenia.
Graphical Abstract
Similar content being viewed by others
Introduction
Platelets, a major type of blood cells, play a critical role in hemostasis, inflammation, thrombosis and immunity (Eto and Kunishima 2016). These small anucleated cells are the final products of megakaryocytes differentiation and maturation. Megakaryocytes (MK) derive from hematopoietic stem cells (HSCs) and undergo a continuous and complex maturation program (Nishikii et al. 2015). Megakaryocytes increase their size and become polyploid through repeating cycles of DNA replication without cell division, a process called endomitosis (Mattia et al. 2002). In this process, the internal membrane systems of megakaryocytes gradually maturate (Eckly et al. 2014), F-actin gradually aggregates (Poulter and Thomas 2015), and the specific surface antigens for megakaryocyte differentiation are gradually expressed, such as CD41, CD61, CD42b and Von Willebrand factor (VWF) (Tomer 2004; Dumon et al. 2012). At the end, megakaryocytes extend the voluminous protrusions into the lumen of sinusoids, and under the shearing force of flowing blood, the protrusions are cut off and platelets shed into the blood (Patel et al. 2005). Various cytokines, chemokines, signaling pathways and transcription factors regulate MK differentiation through transcription and microenvironmental mechanisms at multiple levels. Thrombopoietin (TPO) is the most important mediators of megakaryopoiesis. It binds its receptor, c-MPL, activating a number of downstream signaling pathways, including JAK2/STATs, MAPK/ERK, and PI3K/Akt signaling pathway (Bianchi et al. 2016; Eto and Kunishima 2016). Since megakaryocytes are located in bone marrow (BM), the BM microenvironment plays a vital role in both megakaryocyte differentiation and maturation, and platelet production (Leiva et al. 2018). For instance, the BM extracellular matrix (ECM) is an acellular component that provides physical support for hematopoiesis. The ECM matrix proteins, such as VWF, fibrinogen, fibronectin, collagen type IV and laminin bind to corresponding receptors of megakaryocyte, and regulate proplatelet reorganization and platelet formation (Guo et al. 2015).
Any abnormity in the process of megakaryocyte differentiation and maturation, as well as platelet release can lead to platelets disorders (Krishnegowda and Rajashekaraiah 2015). Particularly, thrombocytopenia, an important clinical problem that may cause by either impaired megakaryocyte maturation or insufficient platelets production (Greenberg 2017). The severe thrombocytopenia can cause intra-cerebral and intra-abdominal bleeding, which can be fatal. Currently, platelet transfusion is the most direct and effective method for treating thrombocytopenia (Stroncek and Rebulla 2007). However, due to the platelets shortage and the common occurrence of allergic transfusion reactions (ATRs), the clinical application of platelet transfusion is largely limited (Wang et al. 2017). Promoting the body’s own platelets production has become the effective strategy for clinical intervention of thrombocytopenia. The most widely used drugs for increasing the level of patients’ platelets is thrombopoietin receptor agonists (TPO-RA), such as Eltrombopag and Romiplostim. But the drugs are not only expensive but also can increase the risk of thromboembolic complications (Garnock-Jones 2011; Yuan et al. 2019). Therefore, it is urgent and necessary to discovery novel therapeutic drugs with high efficacy and safety for the treatment of thrombocytopenia.
Sanguisorba officinalis L. (SOL) has been used as herbal medicine for treating hemorrhage syndrome for a long time in Asia and Europe (Gawron-Gzella et al. 2016; Bai et al. 2019). In recent decades, SOL was used to treat myelosuppression induced by chemotherapy or radiotherapy in clinic (Ma et al. 2015). Our previous study demonstrated that the ethanol extract of SOL exhibited remarkable therapeutical effect against leukopenia in mice (Wang et al. 2020). We also found that two ellagic acids, 3,3ʹ,4-tri-O-methylellagic acid-4ʹ-O-β-d-xyloside and 3,3ʹ,4-tri-O-methylellagic acid isolated from SOL significantly stimulated hematopoietic progenitor cell proliferation and megakaryocyte differentiation (Gao et al. 2014). However, the active compounds of SOL in promoting hematopoietic recovery and their underling molecular mechanism remain largely unknown. In the present study, we aim to investigate the effects of DMAG on megakaryocyte differentiation in vitro, and evaluate the therapeutic action on thrombocytopenia in vivo. We further seek to elucidate the molecular mechanism of DMAG in the treatment of thrombocytopenia using network pharmacology method and experimental verification.
Materials and methods
Chemicals
DMAG, 3,3ʹ-di-O-methylellagic acid 4ʹ-glucoside (CAS:51803-68-0, purity ≥ 98%) was obtained from Chengdu Push Bio-technology Co., Ltd (Chengdu, China).
Cell culture
HEL cells were purchased from American Type Culture Collection (Rockville, MA, USA). The cells were cultured in RPMI 1640 medium, supplemented with 10% fetal bovine serum (FBS) and 1% penicillin–streptomycin at 37 °C in a humidified atmosphere with 5% CO2.
Giemsa staining
4.0 × 104 HEL cells were seeded in 6-well plates and were treated with DMAG (10, 20 and 40 μM) for 6 days. The cells were harvested and washed with PBS for twice. Then cells were fixed with fixing solution (methanol:glacial acetic acid = 3:1 (v/v)), and stained with Giemsa solution (Solarbio, Beijing, China) for 5 min. The stained cells were finally photographed under electron microscope (10×).
Phalloidin staining
After treatment for 6 days, cells were harvested for F-actin staining by phalloidin staining (Solarbio, Beijing, China) according to the manufacturer’s instructions. In brief, the cells were fixed with 4% paraformaldehyde for 15 min and permeabilized with 0.05% Triton X-100 for 10 min at the room temperature. After that, cells were washed twice with PBS and TRITC-conjugated Phalloidin (1:200) was performed for 30 min in dark at room temperature, then DAPI was added to counterstain the nucleus for 5 min. Finally, the representative images were captured using the inverted fluorescence microscope (Nikon Ts2R/FL, Japan).
Immunofluorescence assay
After treating with DMAG (10, 20 and 40 μM) for 6 days, HEL cells were harvested and washed with PBS for twice. Then cells were fixed with 4% paraformaldehyde for 15 min and permeabilized with 0.05% Triton X-100 for 10 min at room temperature. Cells were washed twice with PBS and incubated with anti-VWF antibody (Proteintech, IL, USA, 11778-1-AP, 1:200) overnight at 4 °C. After a thorough wash with PBS, FITC-conjugated secondary antibody (ZSGB-BIO, Beijing, China, ZF-0311, 1:100) was added to against with primary antibody, and DAPI was added to counterstain the nucleus. The representative images were captured using the inverted fluorescence microscope (Nikon Ts2R/FL, Japan).
Flow cytometry analysis the co-expression of CD41/CD42b and CD41/CD61
After treating with DMAG (10, 20 and 40 μM) for 6 days, HEL cells were harvested and washed with PBS for twice, then labeled with human anti-CD41-FITC (4A Biotech, Beijing, China, FHF0411-100), human anti-CD42b-PE (BD Pharmingen, CA, USA, 555473) and human anti-CD61-PE (BioLegend, CA, USA, 336406) antibody on ice in the dark for 30 min. The samples were resuspended in 400 μL PBS for analysis by flow cytometry (BD Biosciences, San Jose, CA, USA).
Megakaryocytes ploidy assay
HEL cells were treated with DMAG (10, 20 and 40 μM) for 6 days and then harvested for DNA ploidy analysis using CycleTEST™ PLUS DNA Reagent Kit (Cycletest Plus DNA Reagent, BD) according to the manufacturer’s instructions. Briefly, HEL cells were harvested and resuspended in buffer solution. After incubation with trypsin buffer for 10 min, cells were treated with trypsin inhibitor and RNase buffer for 10 min at room temperature. Then cells were incubated with PI stain solution for 10 min in the dark and flow cytometry was performed by the BD FACSCanto II flow cytometer (BD Biosciences, San Jose, CA, USA). Despite flow cytometry is widely used to analyze the cell cycle and DNA ploidy, high content screening (HCS) fills the gap of flow cytometry in modern high-resolution imaging technology. It builds a bridge between image acquisition and image analysis, and focuses on the construction of DNA content and cell cycle parameters (Furia et al. 2013, 2014; Schorpp et al. 2016). Therefore, we used the cell cycle analysis module of HCS to detect the megakaryocytes ploidy again. In brief, HEL cells were collected and washed twice with PBS, then cells were transferred to a 96-well plate at a density of 2 × 105 cells/well. DAPI (100 nM, Solarbio, Beijing, China) was added and incubated at room temperature in the dark for 10 min. Lastly, the sample was detected by the ImageXpress Micro4 (Molecular Devices, San Jose, CA, USA).
Establishment the thrombocytopenia mice model and treatment with DMAG
Specifc-pathogen-free Kunming mice (KM), 8 to 10-week-old, were purchased from Da-shuo Bio-technology Limited (Chengdu, Sichuan, China). The mice were maintained under standard condition (22 ± 2 °C, 55 ± 5% humidity and 12 h light/dark cycle). All experimental procedures were approved by the laboratory animal ethics committee of the Southwest Medical University (Luzhou, China). Except for the control group, the other mice were irradiated by X-ray (4 Gy) to establish thrombocytopenia mice model. According to the level of peripheral blood, the mice were randomly divided into four groups (6 male mice and 6 female mice in each group): control group, model group, TPO positive group, DMAG group. The mice in control group and model group were intraperitoneally administered with normal saline per day. The mice in TPO positive group and DMAG group were intraperitoneally administered with TPO (3000 U/kg) or DMAG (5 mg/kg) per day and lasted for 14 days.
Measurement of hematologic parameters
On day 0, 3, 7, 10, and 14, the blood was collected from eyes’ venous plexus for hematologic parameters analysis by Hematology Analyzer (SYSMEX XT-1800Iv; Kobe, Japan).
Histology and immunohistochemistry
On day 10, the femurs were collected and fixed in 10% formaldehyde for 24 h. After decalcification for a month, the femurs were embedded in paraffin and cut into 5 µm thick sections. Then the samples were stained with hematoxylin and eosin (H&E) or anti-VWF antibody (Proteintech, IL, USA, 11778-1-AP, 1:100). Images were captured using Olympus BX51microscope (Olympus Optical).
Flow cytometry analysis for megakaryocyte differentiation in bone marrow
On day 10, BM cells were collected and counted by Hematology Analyzer to adjust the cell density at 100 × 104 cells per sample. Mouse anti-CD41-FITC (Biolegend, CA, USA, 133904) and mouse anti-CD61-PE (Biolegend, CA, USA, 104308) were added into cells and incubated for 15 min in dark on ice. After that, the samples were resuspended in 1 mL PBS for analysis by the BD FACSCanto II flow cytometer (BD Biosciences, San Jose, CA, USA).
Tail bleeding time
2 mm of the distal tail from non-anesthetized mice was cut and immediately immersed in normal saline at 37 ℃. The bleeding time was counted as described previously (Meinders et al. 2015).
Platelet aggregation
Whole blood was collected from the inferior vena cava of anesthetized mice and anticoagulated with 3.8% sodium citrate. Then, platelet-rich plasma (PRP) and platelet-poor plasma (PPP) were obtained by centrifugation at 100g and 2000g for 10 min at 22 ℃, respectively. PRP was counted by Hematology Analyzer to adjust platelet density at 300 × 109 per sample. After the stimulation of ADP (Helena Laboratories, USA), platelet aggregation was analyzed with a turbidimetric aggregation-monitoring device (Helena Laboratories, Beaumont, TX, United States) according to previously report (Li et al. 2020).
Platelet adhesion
For the preparation of plates coated with collagen, 250 μL of 5 μg/mL collagen (Helena Laboratories, USA) was added to the bottom of each confocal dish and kept overnight at 4 ℃. After washing with PBS, each well was blocked with 1% BSA for 1 h at room temperature. PRP (2 × 107 cell/mL) was then added to each well and incubated at 37 °C for 45 min. After unbound platelets were removed by PBS, wells were fixed with 4% paraformaldehyde for 15 min and permeabilized with 1% Triton X-100 for 10 min at room temperature. After that, the adhering platelets were stained with TRITC-conjugated phalloidin (1:200) (Suzuki-Inoue et al. 2001). The representative images were captured using the inverted fluorescence microscope (Nikon Ts2R/FL, Japan). The average coverage of adhering platelets was calculated by ImageJ software.
Acquisition of candidate targets of DMAG against thrombocytopenia
PharmMapper (https://lilab.ecust.edu.cn/pharmmapper/index.php) and Swiss database (http://www.swisstargetprediction.ch/index.php) were used to identify targets of DMAG. The GeneCards database (https://www.genecards.org/) and DisGeNET database (http://www.disgenet.org/) were used to retrieve targets related to thrombocytopenia. The common targets of DMAG with thrombocytopenia were considered as potential targets of DAMG against thrombocytopenia. Venn diagram was drawn on Jvenn website (http://jvenn.toulouse.inra.fr/app/example.html) to obtain the overlapped targets of DMAG with thrombocytopenia. The component-target-disease network was constructed by cytoscape_v3.7.1 software.
Construction of protein–protein interaction (PPI) network and identification of core targets of DMAG against thrombocytopenia
PPI network was constructed by STRING database (http://string-db.org) and visualized by Cytoscape_v3.7.1 software. The screening conditions of core targets of DMAG against thrombocytopenia were as follows: Degree was greater than or equal to twice the median, Betweenness Centrality (BC) and Closeness Centrality (CC) were greater than or equal to the median.
GO and KEGG pathway analyses of core targets
Database for Annotation, Visualization and Integrated Discovery database (DAVID, https://david.ncifcrf.gov/) was used to obtain GO and KEGG pathway analyses. Visualization of GO and KEGG pathway analyses by using GraphPad Prism v9.1.0.221 software and OmicShare website (https://www.omicshare.com/tools/).
Molecular docking simulation and molecular dynamics simulation
Molecular docking simulation was used to explore the binding ability between DMAG and its core targets. The crystal structures of core targets were obtained from the RCSB Protein Data Bank (https://bivi.co/visualisation/rcsb-protein-data-bank). Sybyl-X 2.0 software was used for structural modification of these structures, including residue modification and repair, hydrogenation and charging. The 3D structure of DMAG was constructed based on the PubChem database (https://pubchem.ncbi.nlm.nih.gov), its partial atomic charges were calculated by the Gasteiger Hückel method, energy minimizations were performed using the Tripos force field and the Powell conjugate gradient algorithm convergence criterion of 0.01 kcal/mol Å. After binding pocket was generated using the Protomol generation technique of SYBYL, the molecular docking between DMAG and core proteins were simulated by Sybyl-X 2.0 (Ragunathan et al. 2018). Molecular docking simulation was visualized utilizing Pymol and Ligplus software. Molecular dynamics simulation is a widely used tool to explore the dynamic binding of compounds to proteins. We used the DMAG-protein complex obtained by molecular docking to establish a molecular dynamics model using AMBER18 software. Then, the biological macromolecule system was optimized, and the conditions were set as follows: the DMAG-protein complex was dissolved in the TIP3P water model containing H2O, Na+ ions and Cl+ ions, and the temperature was heated to 300 K. After all optimizations are completed, a continuous simulation of 25 ns will be performed.
Western blotting
HEL cells were collected after treated with DMAG (10, 20 and 40 μM) for 4 days. Total protein was extracted by RIPA lysis buffer (CST, MA, UAS) supplemented with protease inhibitors (Sigma, St Louis, MO). Protein was quantified with the Quick Start™ Bradford 1× Dye Protein Assay Reagent (Bio-Rad, CA, USA). An equal amount of protein (30 μg) was separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a polyvinylidene fluoride (PVDF) membrane. After blocking with 5% skim milk powder in phosphate-buffered saline (PBS) for 60 min, the membrane was incubated with primary antibodies overnight at 4 °C followed by the HRP-bound secondary antibody for 60 min at 37 °C. The protein bands were visualized with ECL Western Blotting detection reagent (4A Biotech Co., Ltd., Beijing, China) and detected by the ChemiDoc MP Imaging System (Bio-Rad, Hercules, CA, USA). The proteins were quantified with ImageJ software. Primary antibodies were as follows: β-actin (CST, MA, USA, 3700S, 1:1000), ITGB3 (Proteintech, IL, USA, 18309-1-AP, 1:1000), ITGA2B (Proteintech, IL, USA, 24552-1-AP, 1:1000), PLEK (Proteintech, IL, USA, 12506-1-AP, 1:1000), VWF (Proteintech, IL, USA, 11778-1-AP, 1:500), P-Akt (CST, MA, USA, 4060S, 1:2000), Secondary antibodies were as follows: Mouse Anti-rabbit IgG (CST, MA, USA, 5127S, 1:2000). A β-actin antibody was used as a control.
Result
DMAG induces the differentiation of HEL cells
Given that ellagic acids derived from SOL displayed high activity in promoting megakaryocyte differentiation in our previous study, the effect of DMAG on the differentiation of HEL cells was assessed in the present study. We found another ellagic acids, DMAG, derived from SOL (Additional file 1: Fig. S1), that a large number of big cells appeared in DMAG (20 and 40 μM)-treated groups, while little in control group after 6 days of culture (Fig. 1a). Giemsa staining and phalloidin staining showed that cells treated with DMAG (20 and 40 μM) had larger size and more nucleus than that of control group (Fig. 1b, c). VWF is primarily synthesized in mature megakaryocytes and stored in platelet α-granules (Schick et al. 1997; Shi et al. 2003). Immunofluorescence showed that the expression of VWF was significantly enhanced after DMAG treatment (Fig. 1d). Then the expression of megakaryocytes-specific marker CD41 and CD61, and maturation marker CD42b was detected by flow cytometry. The results showed that the expression of CD41, CD61 and CD42b were all significantly increased in DMAG-treated groups in a concentration-dependent manner compared with control group (Fig. 2a, b). Moreover, ploidy assay revealed that DMAG treatment increased the DNA ploidy in a concentration-dependent manner (Fig. 2c). Correspondingly, high-content assay showed the similar results with ploidy assay detected by flow cytometry (Fig. 2d). Taken together, above data suggest that DMAG has the ability to induce megakaryocyte differentiation of HEL cells.
DMAG possesses great therapeutic effects on mice with thrombocytopenia
In order to evaluate the therapeutical effect of DMAG on thrombocytopenia, the thrombocytopenia mice model was constructed by 4 Gy X-ray total body irradiation. The results showed that the platelet count in all irradiation groups reached the lowest point on day 7 (Fig. 3a). However, the platelet count in DMAG-treated group and TPO group was significant higher compared with the model group (Fig. 3a), indicating that DMAG administration decelerated the rate of descent of platelet after irradiation damage. The platelet counts gradually recover after reaching the lowest point and the platelet count in DMAG-treated group and TPO group was higher than that of the model group (Fig. 3a), indicating that DMAG administration enhanced platelet recovery when the mice encountered irradiation. The mean platelet volume (MPV) was also detected and showed no difference between each group (Fig. 3b), indicating that DMAG had no effect on MPV. H&E staining results showed that DMAG treatment significantly increased the number of BM megakaryocytes (Fig. 3c). Immunohistochemistry data demonstrated that the number of VWF-positive megakaryocytes increased after DMAG treatment (Fig. 3d). Moreover, the expression of CD41 and CD61 of BM cells was measured by Flow cytometry. The results showed that DMAG administration obviously promoted the expression of CD41 and CD61, which demonstrated that DMAG could facilitate BM megakaryocyte differentiation. These results suggest that DMAG administration accelerates platelet recovery and megakaryocyte differentiation in mice with thrombocytopenia.
In order to explore whether the platelets produced by DMAG treatment were functional, we further evaluated platelet function in vivo and in vitro, respectively. Mouse tail bleeding model was used to measure the hemostatic function of platelets. The results showed that the tail bleeding time of mice in DMAG-treated group and TPO group was significantly shorter than that in the model group (Fig. 3f), suggesting that DMAG administration enhanced the hemostatic ability in thrombocytopenic mice. Furthermore, the platelet aggregation induced by ADP and platelet adhesive on solidified collagen were evaluated. The results showed that platelet aggregation induced by ADP was significantly strengthened in DMAG-treated when compared with the model group (Fig. 3g). Similarly, after DMAG or TPO treatment, platelet adhesion both improved (Fig. 3h). The above results suggest that DMAG administration is able to restore platelet function in thrombocytopenic mice. Taken together, these data demonstrate that DMAG exhibits good therapeutic effects on mice with thrombocytopenia.
Identification of core targets of DMAG against thrombocytopenia
The targets of DMAG against thrombocytopenia were predicted by network pharmacology. Through databases screening, a total of 206 targets were identified as targets of DMAG and 295 targets as targets related to thrombocytopenia. 16 common targets were considered as potential targets of DMAG for the treatment of thrombocytopenia (Fig. 4a, b). The core targets were screened out through two screenings: using Cytoscape_v3.7.1 software, first remove the two unrelated targets, and then set the screening conditions of Degree > 2, BC > 0.0042735, CC > 0.43333333. The top eight target proteins of ITGA2B, ITGB3, VWF, PLEK, TNF, TLR2, BCL2, BCL2L1 were regarded as core proteins (Fig. 4c).
Enrichment analysis of the core targets of DMAG acting on thrombocytopenia
GO and KEGG enrichment analyses were performed to elucidate the underling mechanism of DMAG against thrombocytopenia. GO enrichment analysis showed that the core targets were mainly enriched in platelet degranulation, platelet aggregation, extracellular matrix organization and integrin-mediated signaling pathway (BP), cell surface, extracellular space, membrane and platelet alpha granule membrane (CC), identical protein binding, protease binding, protein homodimerization activity and protein binding (MF) (Fig. 5a), which were important for development and function of megakaryocyte and platelet. KEGG enrichment analysis revealed that the core targets were significantly enriched in PI3K–Akt signaling pathway, hematopoietic cell lineage, ECM-receptor interaction and platelet activation (Fig. 5b), which played a vital role in megakaryocytes differentiation and platelet production.
Molecular docking stimulation and molecular dynamics simulation verification
To further explore the direct relationship between DMAG and its core targets, molecular docking stimulation and molecular dynamics simulation were used to predict their binding possibility. Docking score > 5 kcal mol−1 was regarded as a high binding strength. The information of compound-protein docking was listed in Table 1, and visualization for compound-protein combination was shown in Fig. 6a. According to the docking results, the binding scores of ITGB3, ITGA2B, PLEK, TLR2 with DMAG were all greater than 6, indicating that DMAG had a good affinity with the crystal structure of these four core proteins. In molecular dynamics simulation, RSMD represents the root mean square deviation of each atom before and after the binding of receptor and ligand conformations (Badieyan et al. 2012). and we analyzed the stability of the receptor binding to the ligand according to the fluctuation range of RSMD, which showed that the binding of ITGB3, PLEK and TLR2 to DMAG reached equilibrium at about 15 ns, 20 ns, and 20 ns, respectively (Fig. 6b, Additional files 2, 3 and 4). BCL2 and BCL1 have low binding scores with DMAG, but they have performed well in molecular dynamics simulation (Additional file 1: Fig. S2, Additional files 5 and 6). These results suggested that DMAG might directly bind to ITGB3, ITGA2B, TLR2 and PLEK.
Validation of the expression of core targets by western blot
According to network pharmacology analysis, the expression of core targets of DMAG against thrombocytopenia was validated by western blot. The results showed that the expressions of ITGA2B, ITGB3, VWF, P-Akt and PLEK, which were related to megakaryocytes differentiation and platelet production were obviously up-regulated induced by DMAG (Fig. 7). The results indicated that DMAG might stimulate megakaryocyte differentiation and platelet production via activation of PI3K–Akt, hematopoietic cell lineage, ECM-receptor interaction and platelet activation signaling pathway.
Discussion
Thrombocytopenia is a very common blood disorder that is caused by multiple reasons, such as radiotherapy and chemotherapy treatments. Severe thrombocytopenia can lead to bleeding that is fatal. Whoever, there are still no effective and safe drugs for the rapid treatment of thrombocytopenia. SOL, a well known traditional herbal medicine, has long been used for the treatment of various wounds, particularly burns, internal haemorrhage, inflammatory, cancers and metabolic diseases (Zhao et al. 2017). In our previous study, we found that SOL and its ellagic acids had remarkably activities against leukopenia and in promoting megakaryocyte differentiation, respectively (Wang et al. 2020). In the present study, we demonstrated that another ellagic acid derived from SOL, DMAG, significantly promoted megakaryocyte differentiation in vitro and stimulated platelet formation in vivo. Combined with network pharmacology analysis and experimental verification, we explored the targets and elucidated the underling molecular mechanism of DMAG against thrombocytopenia.
We first evaluated the pro-differentiation activity of DMAG in vitro. After the HEL cells were treated with DMAG, the cell size, the expression of megakaryocytes-specific marker CD41, CD61, CD42b and VWF, number of nucleus and DNA ploidy were both increased, indicating DMAG could promote megakaryocyte differentiation. Since megakaryocytes are the precursors of platelets, the acceleration of megakaryocyte differentiation induced by DMAG may be conducive to platelet formation. We thereby identified the therapeutic effects of DMAG on thrombocytopenia. As expected, DMAG administration significantly accelerated platelet recovery in mice with thrombocytopenia induced by X-ray irradiation. The increased number of platelets either caused by enhanced megakaryopoiesis and platelets production, or decreased platelets destruction or clearance. H&E staining and VWF immunohistochemistry results revealed that DMAG elevated the number of BM megakaryocytes in mice with thrombocytopenia. Flow cytometry data demonstrated that DMAG promoted BM megakaryocyte differentiation by increasing the expression of CD41 and CD61. From the H&E staining and VWF immunohistochemistry results, we noticed that the number and size of megakaryocytes in TPO group were bigger than that of the control and DMAG-treated groups. However, the morphology and amounts of megakaryocytes were similar between the control and DMAG-treated groups. The bigger, more mature and greater number of megakaryocytes produced by TPO treatment might result in a much larger number of platelets, which might increase the risk of venous and arterial thrombosis. Although the ability of DMAG in promoting megakaryopoiesis and platelet production was not stronger than that of TPO, the risk of side effects, such as thrombosis of DMAG might be lower when compared with TPO. Furthermore, platelet function was detected to certify whether the platelet induced by DMAG was functional. We found that DMAG administration remarkably recovered damage of platelet function induced by X-ray irradiation. The results of in vitro and in vivo experiments proved that DMAG ameliorated radiation-induced thrombocytopenia in mice at least partly through promotion of megakaryopoiesis, megakaryocyte differentiation and platelet function. This therapeutic effect of DMAG was similar to nanocurcumin, human growth hormone (hGH) and insulin-like growth factor-1 (IGF-1), which promoted megakaryocyte differentiation in vitro and platelet recovery in irradiated mice (Xu et al. 2014; Chen et al. 2018; Mortazavi Farsani et al. 2020).
Network pharmacology was carried out to identify the targets of DMAG against thrombocytopenia. We found eight proteins (ITGA2B, ITGB3, VWF, PLEK, TNF, TLR2, BCL2 and BCL2L1) were the core targets of DMAG for the treatment of thrombocytopenia. Integrins are cell surface receptors that play a crucial role in both platelet activation, adhesion and aggregation (Guidetti et al. 2015). The ITGA2B gene, also called CD41, encodes for the αIIb which exclusive express in megakaryocytes, platelets and some hematopoietic progenitor cells. The ITGB3 gene, also known as CD61, encodes for β3. These two proteins can form a fibrinogen receptor, αIIbβ3, an integrin that is crucial for platelet aggregation through binding of soluble fibrinogen (Nurden et al. 2011). The homozygous mutations in ITGA2B or ITGB3 locus could cause Glanzmann thrombasthenia, a bleeding disorder (Nurden et al. 2013). The heterozygous activating mutations in the membrane-proximal region of the αIIb and β3 subunit could lead to congenital macrothrombocytopenia (Ghevaert et al. 2008; Kunishima et al. 2011; Nurden et al. 2011). Now, CD41 and CD61 were regard as early markers of megakaryocyte differentiation (Psaila et al. 2016). VWF, a large multimeric adhesive glycoprotein, is a well-known mediator of platelet–vessel wall interaction and platelet–platelet interactions under high shear-stress conditions. Reduced or dysfunctional levels of VWF can lead to inherited von Willebrand disease (VWD), an inherited bleeding disorder (Ruggeri 2007). In type 2B VWD, gain-of-function mutations in VWF cause enhanced binding of mutated VWF multimers to platelets through a direct interaction with its receptor GPIba (Bury et al. 2019). Emerging studies had demonstrated that VWF and its receptor played a critical role in megakaryocytopoiesis and platelet production. Abnormalities of GPIb-IX-V expression or an abnormal interaction between newly synthesized VWF with GPIb-IX-V in the megakaryocytes of a family with VWD2B caused by VWF R1308P lead to impaired megakaryocytopoiesis and thrombocytopenia (Nurden et al. 2006, 2010). VWF promoted proplatelet formation (PPF) and platelet production when the human megakaryocytes exposure to high shear rates (Poirault-Chassac et al. 2013). The expression of VWF has been considered as a sensitive and distinct marker for megakaryocytes (Tomer 2004). Pleckstrin (PLEK), a prominent substrate of protein kinase C (PKC) in platelets and leukocytes, has long been considered as a marker of platelet activation (Lian et al. 2009). Previous study had demonstrated that inhibition of PKC by bisindolylmaleimide, GF109203X, a highly selective inhibitor of PKC, suppressed the expression of CD61, phosphorylation of pleckstrin, and megakaryocyte differentiation induced by phorbol 12-myristate 13-acetate (PMA) (Hong et al. 1996). Pleckstrin-null platelets from a pleckstrin null knockout mouse exhibited a marked defect in granule secretion, aggregation, actin polymerization and mild thrombocytopenia (Lian et al. 2009). Toll-like receptors (TLRs) are essential components of the innate immune response and are activated upon interaction with different pathogen-associated molecular patterns (PAMPs). There are 13 TLRs in humans and mice. Among them, TLR1, TLR2, TLR4 and TLR6 are both expressed on megakaryocytes and platelets. TLR2, which forms functional heterodimers with either TLR1 or TLR6, recognizes a wide spectrum of microbial pathogen associated molecules, such as virus, fungal, bacterial pathogens and their ligands (D'Arti and Schattner 2017). It has been reported that stimulation of Meg-01 cells by Pam3CSK4, a specific synthetic TLR2 ligand, activating NF-kappaB, ERK–MAPK, and PI3K/Akt pathways, which leads to up-regulation of transcription factors associated with megakaryocyte maturation, thereby increasing megakaryocyte ploidy. In addition, after the mice are treated with Pam3CSK4, the platelet level initially drops and then returns to normal level, accompanied by an increase in megakaryocyte maturation (Beaulieu et al. 2011). Recent studies have shown that stimulation of Dami cells by heat killed lacto bacillus (HKL), another TLR2 ligand, leading to up-regulation of TLR2 and cytokine production, mainly IL-6, which is essential for megakaryocyte generation and CD41 expression. Additionally, TLR2 induction activates wnt b-catenin signalling pathway components, indicating a cross talk between wnt and TLR pathway leading to megakaryocyte maturation (Undi et al. 2016). BCl-XL is the key pro-survival protein that is essential for survival of megakaryocyte and platelet (Josefsson et al. 2020). Megakaryocyte-specific deletion of BCl-XL in mice triggers megakaryocyte apoptosis and a failure of platelet shedding, which leading to severe thrombocytopenia (Josefsson et al. 2011). The megakaryocytic lineage-specific deletion of both MCL1 and BCL-XL causes embryonic lethality in association with failure of megakaryopoiesis and systemic haemorrhage (Kodama et al. 2012). Tumour Necrosis Factor-a (TNF-a), a pro-inflammatory cytokine, plays an important role in inflammation, anti-tumor responses and homeostasis. It is well known that TNF-a can regulate a wide spectrum of biological processes, such as cell proliferation, differentiation and apoptosis (Tian et al. 2014). These studies demonstrate the critical role of above core targets of DMAG in regulating megakaryocyte differentiation and platelet production. In order to explore the direct relationship between DMAG and its core targets, molecular docking stimulation and molecular dynamics simulation were performed. The results showed that DMAG had a strong binding ability with ITGB3, ITGA2B, PLEK and TLR2, indicating that DMAG might regulate megakaryocyte differentiation and platelet production by directly binding to ITGB3, ITGA2B, PLEK and TLR2.
Through GO enrichment analysis, we found that the above targets were mainly associated with platelet degranulation, platelet aggregation, extracellular matrix organization and integrin-mediated signaling pathway (BP), cell surface, extracellular space, membrane and platelet alpha granule membrane (CC), identical protein binding, protease binding, protein homodimerization activity and protein binding (MF), which were all involved in development and function of megakaryocyte and platelet (Bianchi et al. 2016; Eto and Kunishima 2016; Leiva et al. 2018). According to KEGG enrichment analysis results, the core targets of were mainly enriched in PI3K–Akt signaling pathway, hematopoietic cell lineage, ECM-receptor interaction and platelet activation. PI3K–Akt pathway is one of the most crucial signaling pathways that is activated in response to various types of stimulations, including cytokines, growth factors, hormones, integrin and ECM proteins. This pathway regulates a wide spectrum of cellular processes, such as cell cycle, proliferation, survival, differentiation and death (Guidetti et al. 2015; Moroi and Watson 2015). It is known that PI3K–Akt pathway is located downstream of TPO/MPL signaling pathway, activating several transcription factors to derive megakaryocyte differentiation and maturation, as well as platelet production (Bianchi et al. 2016). Emerging evidences have demonstrated that PI3K–Akt pathway is also activated by several platelet receptors, including GPIb-IX-V, ITAM-bearing receptors, G-protein-coupled receptors, and integrins, that regulates platelet activation and haemopoiesis (Guidetti et al. 2015). The ECM is the non-cellular structure that provide tissue cohesion and rigidity. The BM ECM is crucial for normal hematopoiesis. It contains variety of proteins, including fibrinogen, collagens, fibronectin and laminin, as well as multiple soluble proteins, such as chemokines, cytokines and secreted enzymes. Different ECM components possess diverse function in regulating megakaryocyte development and platelet formation (Leiva et al. 2018). For instance, type III and IV collagens stimulate megakaryocyte maturation and platelet production via the PI3K/Akt signaling pathway (Abbonante et al. 2017). Fibrinogen binds to αIIbβ3 on the surface of megakaryocyte to stimulate proplatelet formation and platelet release (Larson and Watson 2006). In the present study, through western blot validation of the expression of core targets, we found that these signaling pathways were activated by DMAG. More importantly, we also detected the expression of Akt, a core protein in PI3K/Akt signaling pathway. We found that the phosphorylation of Akt were activated by DMAG, indicating that PI3K/Akt signaling pathway might be the main signaling pathway mediated DMAG induced megakaryocyte differentiation.
Based on previous studies and our findings, we can conclude that DMAG promotes megakaryocyte differentiation and platelet production via directly binding to ITGB3, ITGA2B and TLR2, thereby activation of PI3K–Akt signaling pathway, hematopoietic cell lineage, ECM-receptor interaction and platelet activation.
Conclusions
In summary, the present study demonstrated that DMAG, a natural ellagic acid derived from SOL could significantly promote megakaryocyte differentiation in vitro and enhance platelet count and function in mice with thrombocytopenia. Furthermore, via network pharmacology method and experimental verification, our study also confirmed that the anti-thrombocytopenia activity of DMAG might be mediated by activating PI3K–Akt signaling pathway, hematopoietic cell lineage, ECM-receptor interaction and platelet activation. Altogether, our results suggest that DMAG may be a curative agent for the treatment of thrombocytopenia.
Availability of data and materials
The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.
Abbreviations
- DMAG:
-
3,3ʹ-Di-O-methylellagic acid 4ʹ-glucoside
- SOL:
-
Sanguisorba officinalis L.
- GO:
-
Gene Ontology
- KEGG:
-
Kyoto Encyclopedia of Genes and Genomes
- MK:
-
Megakaryocytes
- HSCs:
-
Hematopoietic stem cells
- TPO:
-
Thrombopoietin
- BM:
-
Bone marrow
- ECM:
-
Extracellular matrix
- ATRs:
-
Allergic transfusion reactions
- TPO-RA:
-
Thrombopoietin receptor agonists
- HCS:
-
High content screening
- PRP:
-
Platelet-rich plasma
- PPP:
-
Platelet-poor plasma
- PPI:
-
Protein–protein interaction
- BC:
-
Betweenness centrality
- CC:
-
Closeness centrality
- MPV:
-
Mean platelet volume
- PLT:
-
Platelet
- VWF:
-
Von Willebrand factor
- VWD:
-
Von Willebrand disease
- PLEK:
-
Pleckstrin
- PKC:
-
Protein kinase C
- TLRs:
-
Toll-like receptors
References
Abbonante V, Di Buduo CA, Gruppi C, De Maria C, Spedden E, De Acutis A, et al. A new path to platelet production through matrix sensing. Haematologica. 2017;102:1150–60.
Badieyan S, Bevan DR, Zhang C. Study and design of stability in GH5 cellulases. Biotechnol Bioeng. 2012;109:31–44.
Bai C, Sun Y, Pan X, Yang J, Li X, Wu A, et al. Antitumor effects of trimethylellagic acid isolated from Sanguisorba officinalis L. on colorectal cancer via angiogenesis inhibition and apoptosis induction. Front Pharmacol. 2019;10:1646.
Beaulieu LM, Lin E, Morin KM, Tanriverdi K, Freedman JE. Regulatory effects of TLR2 on megakaryocytic cell function. Blood. 2011;117:5963–74.
Bianchi E, Norfo R, Pennucci V, Zini R, Manfredini R. Genomic landscape of megakaryopoiesis and platelet function defects. Blood. 2016;127:1249–59.
Bury L, Malara A, Momi S, Petito E, Balduini A, Gresele P. Mechanisms of thrombocytopenia in platelet-type von Willebrand disease. Haematologica. 2019;104:1473–81.
Chen S, Hu M, Shen M, Wang S, Wang C, Chen F, et al. IGF-1 facilitates thrombopoiesis primarily through Akt activation. Blood. 2018;132:210–22.
D’Aatri LP, Schattner M. Platelet toll-like receptors in thromboinflammation. Front Biosci (landmark Ed). 2017;22:1867–83.
Dumon S, Walton DS, Volpe G, Wilson N, Dassé E, Del Pozzo W, et al. Itga2b regulation at the onset of definitive hematopoiesis and commitment to differentiation. PLoS ONE. 2012;7:e43300.
Eckly A, Heijnen H, Pertuy F, Geerts W, Proamer F, Rinckel JY, et al. Biogenesis of the demarcation membrane system (DMS) in megakaryocytes. Blood. 2014;123:921–30.
Eto K, Kunishima S. Linkage between the mechanisms of thrombocytopenia and thrombopoiesis. Blood. 2016;127:1234–41.
Furia L, Pelicci PG, Faretta M. A computational platform for robotized fluorescence microscopy (I): high-content image-based cell-cycle analysis. Cytom A. 2013;83:333–43.
Furia L, Pelicci P, Faretta M. High-resolution cytometry for high-content cell cycle analysis. Curr Protoc Cytom. 2014;70:7.41.41–15.
Gao X, Wu J, Zou W, Dai Y. Two ellagic acids isolated from roots of Sanguisorba officinalis L. promote hematopoietic progenitor cell proliferation and megakaryocyte differentiation. Molecules. 2014;19(4):5448–5458.
Garnock-Jones KP. Spotlight on eltrombopag in treatment-refractory chronic primary immune thrombocytopenia. BioDrugs. 2011;25:401–4.
Gawron-Gzella A, Witkowska-Banaszczak E, Bylka W, Dudek-Makuch M, Odwrot A, Skrodzka N. Chemical composition, antioxidant and antimicrobial activities of Sanguisorba officinalis L. extracts. Pharm Chem J. 2016;50:244–9.
Ghevaert C, Salsmann A, Watkins NA, Schaffner-Reckinger E, Rankin A, Garner SF, et al. A nonsynonymous SNP in the ITGB3 gene disrupts the conserved membrane-proximal cytoplasmic salt bridge in the alphaIIbbeta3 integrin and cosegregates dominantly with abnormal proplatelet formation and macrothrombocytopenia. Blood. 2008;111:3407–14.
Greenberg EM. Thrombocytopenia: a destruction of platelets. J Infus Nurs. 2017;40:41–50.
Guidetti GF, Canobbio I, Torti M. PI3K/Akt in platelet integrin signaling and implications in thrombosis. Adv Biol Regul. 2015;59:36–52.
Guo T, Wang X, Qu Y, Yin Y, Jing T, Zhang Q. Megakaryopoiesis and platelet production: insight into hematopoietic stem cell proliferation and differentiation. Stem Cell Investig. 2015;2:3.
Hong Y, Martin JF, Vainchenker W, Erusalimsky JD. Inhibition of protein kinase C suppresses megakaryocytic differentiation and stimulates erythroid differentiation in HEL cells. Blood. 1996;87:123–31.
Josefsson EC, James C, Henley KJ, Debrincat MA, Rogers KL, Dowling MR, et al. Megakaryocytes possess a functional intrinsic apoptosis pathway that must be restrained to survive and produce platelets. J Exp Med. 2011;208:2017–31.
Josefsson EC, Vainchenker W, James C. Regulation of platelet production and life span: role of Bcl-xL and potential implications for human platelet diseases. Int J Mol Sci. 2020;21:7591.
Kodama T, Hikita H, Kawaguchi T, Shigekawa M, Shimizu S, Hayashi Y, et al. Mcl-1 and Bcl-xL regulate Bak/Bax-dependent apoptosis of the megakaryocytic lineage at multistages. Cell Death Differ. 2012;19:1856–69.
Krishnegowda M, Rajashekaraiah V. Platelet disorders: an overview. Blood Coagul Fibrinolysis. 2015;26:479–91.
Kunishima S, Kashiwagi H, Otsu M, Takayama N, Eto K, Onodera M, et al. Heterozygous ITGA2B R995W mutation inducing constitutive activation of the αIIbβ3 receptor affects proplatelet formation and causes congenital macrothrombocytopenia. Blood. 2011;117:5479–84.
Larson MK, Watson SP. Regulation of proplatelet formation and platelet release by integrin alpha IIb beta3. Blood. 2006;108:1509–14.
Leiva O, Leon C, Kah Ng S, Mangin P, Gachet C, Ravid K. The role of extracellular matrix stiffness in megakaryocyte and platelet development and function. Am J Hematol. 2018;93:430–41.
Li Y, Li R, Feng Z, Wan Q, Wu J. Linagliptin regulates the mitochondrial respiratory reserve to alter platelet activation and arterial thrombosis. Front Pharmacol. 2020;11:585612.
Lian L, Wang Y, Flick M, Choi J, Scott EW, Degen J, et al. Loss of pleckstrin defines a novel pathway for PKC-mediated exocytosis. Blood. 2009;113:3577–84.
Ma LX, Ai P, Li H, Vardy J. The prophylactic use of Chinese herbal medicine for chemotherapy-induced leucopenia in oncology patients: a systematic review and meta-analysis of randomized clinical trials. Support Care Cancer. 2015;23:561–79.
Mattia G, Vulcano F, Milazzo L, Barca A, Macioce G, Giampaolo A, et al. Different ploidy levels of megakaryocytes generated from peripheral or cord blood CD34+ cells are correlated with different levels of platelet release. Blood. 2002;99:888–97.
Meinders M, Kulu DI, van de Werken HJ, Hoogenboezem M, Janssen H, Brouwer RW, et al. Sp1/Sp3 transcription factors regulate hallmarks of megakaryocyte maturation and platelet formation and function. Blood. 2015;125:1957–67.
Moroi AJ, Watson SP. Impact of the PI3-kinase/Akt pathway on ITAM and hemITAM receptors: haemostasis, platelet activation and antithrombotic therapy. Biochem Pharmacol. 2015;94:186–94.
Mortazavi Farsani SS, Sadeghizadeh M, Gholampour MA, Safari Z, Najafi F. Nanocurcumin as a novel stimulator of megakaryopoiesis that ameliorates chemotherapy-induced thrombocytopenia in mice. Life Sci. 2020;256:117840.
Nishikii H, Kanazawa Y, Umemoto T, Goltsev Y, Matsuzaki Y, Matsushita K, et al. Unipotent megakaryopoietic pathway bridging hematopoietic stem cells and mature megakaryocytes. Stem Cells. 2015;33:2196–207.
Nurden P, Debili N, Vainchenker W, Bobe R, Bredoux R, Corvazier E, et al. Impaired megakaryocytopoiesis in type 2B von Willebrand disease with severe thrombocytopenia. Blood. 2006;108:2587–95.
Nurden P, Gobbi G, Nurden A, Enouf J, Youlyouz-Marfak I, Carubbi C, et al. Abnormal VWF modifies megakaryocytopoiesis: studies of platelets and megakaryocyte cultures from patients with von Willebrand disease type 2B. Blood. 2010;115:2649–56.
Nurden AT, Fiore M, Nurden P, Pillois X. Glanzmann thrombasthenia: a review of ITGA2B and ITGB3 defects with emphasis on variants, phenotypic variability, and mouse models. Blood. 2011;118:5996–6005.
Nurden AT, Pillois X, Wilcox DA. Glanzmann thrombasthenia: state of the art and future directions. Semin Thromb Hemost. 2013;39:642–55.
Patel SR, Hartwig JH, Italiano JE Jr. The biogenesis of platelets from megakaryocyte proplatelets. J Clin Invest. 2005;115:3348–54.
Poirault-Chassac S, Nguyen KA, Pietrzyk A, Casari C, Veyradier A, Denis CV, et al. Terminal platelet production is regulated by von willebrand factor. PLoS ONE. 2013;8:e63810.
Poulter NS, Thomas SG. Cytoskeletal regulation of platelet formation: coordination of F-actin and microtubules. Int J Biochem Cell Biol. 2015;66:69–74.
Psaila B, Barkas N, Iskander D, Roy A, Anderson S, Ashley N, et al. Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways. Genome Biol. 2016;17:83.
Ragunathan A, Malathi K, Ramaiah S, Anbarasu A. FtsA as a cidal target for Staphylococcus aureus: molecular docking and dynamics studies. J Cell Biochem. 2018;120:7751–7758.
Ruggeri ZMV. Willebrand factor: looking back and looking forward. Thromb Haemost. 2007;98:55–62.
Schick PK, Walker J, Profeta B, Denisova L, Bennett V. Synthesis and secretion of von Willebrand factor and fibronectin in megakaryocytes at different phases of maturation. Arterioscler Thromb Vasc Biol. 1997;17:797–801.
Schorpp K, Rothenaigner I, Maier J, Traenkle B, Rothbauer U, Hadian K. A Multiplexed high-content screening approach using the chromobody technology to identify cell cycle modulators in living cells. J Biomol Screen. 2016;21:965–77.
Shi Q, Wilcox DA, Fahs SA, Kroner PA, Montgomery RR. Expression of human factor VIII under control of the platelet-specific alphaIIb promoter in megakaryocytic cell line as well as storage together with VWF. Mol Genet Metab. 2003;79:25–33.
Stroncek DF, Rebulla P. Platelet transfusions. Lancet. 2007;370:427–38.
Suzuki-Inoue K, Yatomi Y, Asazuma N, Kainoh M, Tanaka T, Satoh K, et al. Rac, a small guanosine triphosphate-binding protein, and p21-activated kinase are activated during platelet spreading on collagen-coated surfaces: roles of integrin alpha(2)beta(1). Blood. 2001;98:3708–16.
Tian T, Wang M, Ma D. TNF-α, a good or bad factor in hematological diseases? Stem Cell Investig. 2014;1:12.
Tomer A. Human marrow megakaryocyte differentiation: multiparameter correlative analysis identifies von Willebrand factor as a sensitive and distinctive marker for early (2N and 4N) megakaryocytes. Blood. 2004;104:2722–7.
Undi RB, Sarvothaman S, Narasaiah K, Gutti U, Gutti RK. Toll-like receptor 2 signalling: significance in megakaryocyte development through wnt signalling cross-talk and cytokine induction. Cytokine. 2016;83:245–9.
Wang Q, Yang J, Stevens L, Wang D. Research progress of platelet transfusion in China. Transfus Med Rev. 2017;31:113–7.
Wang L, Li H, Shen X, Zeng J, Yue L, Lin J, et al. Elucidation of the molecular mechanism of Sanguisorba officinalis L. against leukopenia based on network pharmacology. Biomed Pharmacother. 2020;132:110934.
Xu Y, Wang S, Shen M, Zhang Z, Chen S, Chen F, et al. hGH promotes megakaryocyte differentiation and exerts a complementary effect with c-Mpl ligands on thrombopoiesis. Blood. 2014;123:2250–60.
Yuan C, Boyd AM, Nelson J, Patel RD, Varela JC, Goldstein SC, et al. Eltrombopag for treating thrombocytopenia after allogeneic stem cell transplantation. Biol Blood Marrow Transplant. 2019;25:1320–4.
Zhao Z, He X, Zhang Q, Wei X, Huang L, Fang JC, et al. Traditional uses, chemical constituents and biological activities of plants from the genus Sanguisorba L. Am J Chin Med. 2017;45:199–224.
Acknowledgements
Not applicable.
Funding
This research was funded by National Natural Science Foundation of China (Grant Nos. 81774013 and 82074129), the Science and Technology Planning Program of Sichuan Province, China (Grant Nos. 2019YJ0484, 2019JDPT0010 and 2019YJ0473), the Joint project of Luzhou Municipal People’s Government and Southwest Medical University, China (Grant Nos. 2018LZXNYD-ZK31, 2018LZXNYD-PT02, 2020LZXNYDP01, 2020LZXNYDZ03, 2019LZXNYDJ05, 2018LZXNYD-ZK41 and 2018LZXNYD-YL05), the School-level Fund of Southwest Medical University, China (Grant Nos. 2018-ZRZD-001), the Educational Commission of Sichuan Province, China (Grant Nos. 18TD0051 and 18ZA0525), the National innovation and Entrepreneurship Training Program for College Students, China (Grant no. 201910632002 and 201910634003), and the Youth Fund of Southwest Medical University, China (Grant Nos. 2019ZQN176).
Author information
Authors and Affiliations
Contributions
JW and LW designed the research. JL and XS performed in vitro experiments and network pharmacology. JZ contributed to UHPLC–MS analysis. LW and SL carried out in vivo experiments. NJ, YW and HL was responsible for molecular docking stimulation and molecular dynamics simulation verification. JL and LW wrote the original manuscript. JW supervised the research. All authors read and approved the final manuscript.
Corresponding authors
Ethics declarations
Ethics approval and consent to participate
All the animal care and experimental procedures were approved by laboratory animal ethics committee of the Southwest Medical University (Luzhou, China).
Consent for publication
All of the authors have consented to publication of this research.
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Additional file 1: Figure S1.
Identification of DMAG from SOL. (a) Total ion chromatogram of SOL; (b) UV chromatogram at 254 nm of DMAG; (c) Fragmentation patterns of DMAG. Figure S2. Molecular docking and molecular dynamics simulation show the interaction between DMAG and its core targets. (a) Detailed interactions of receptors (BCL2 and BCL2L1) and ligands (DMAG) by molecular docking. The yellow dotted line indicates the interaction between ligand and receptors. (b) The RMSD curves of receptors (BCL2 and BCL2L1) binding to ligands (DMAG) during 25 ns by molecular dynamics simulation. Figure S3. Origin data of Western blot analysis in Fig. 7.
Additional file 2: GIF S1.
The GIF of molecular dynamics simulation of DMAG with ITGA2B.
Additional file 3: GIF S2.
The GIF of molecular dynamics simulation of DMAG with PLEK.
Additional file 4: GIF S3.
The GIF of molecular dynamics simulation of DMAG with TLR2.
Additional file 5: GIF S4.
The GIF of molecular dynamics simulation of DMAG with BCL2.
Additional file 6: GIF S5.
The GIF of molecular dynamics simulation of DMAG with BCL2L1.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Lin, J., Zeng, J., Liu, S. et al. DMAG, a novel countermeasure for the treatment of thrombocytopenia. Mol Med 27, 149 (2021). https://doi.org/10.1186/s10020-021-00404-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s10020-021-00404-1