收藏切换
Luteolin Nanomedicine with Stimulus-Driven Traceless Release for Targeting Treatment of Atherosclerosis by Enhancing Lipid Efflux
收藏切换
PDF
Songzan Chen1, 2, 3, Zhaojing Wang1, 2, 3, Zhida Shen1, 2, 3, Di He1, 2, 3, Lijuan Liu4, Lingbo Qian4, *, Boxuan Ma1, 2, 3, *, He Huang1, 2, 3, *
Research. Vol 8 Article ID 0754
Less
收藏切换
Research. Vol 8 Article ID 0754
• Research Article •
Luteolin Nanomedicine with Stimulus-Driven Traceless Release for Targeting Treatment of Atherosclerosis by Enhancing Lipid Efflux
Full
Songzan Chen1, 2, 3, Zhaojing Wang1, 2, 3, Zhida Shen1, 2, 3, Di He1, 2, 3, Lijuan Liu4, Lingbo Qian4, *, Boxuan Ma1, 2, 3, *, He Huang1, 2, 3, *
Affiliations
  • 1Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
  • 2Zhejiang Key Laboratory of Cardiovascular Intervention and Precision Medicine, Hangzhou, China.
  • 3Engineering Research Center for Cardiovascular Innovative Devices of Zhejiang Province, Hangzhou, China.
  • 4School of Basic Medical Sciences & Forensic Medicine, Hangzhou Medical College, Hangzhou, China.
About Author:

† These authors contributed equally to this work.

Published: 2025-07-20 doi: 10.34133/research.0754
Outline
收藏切换

Atherosclerotic plaques pose a substantial risk for life-threatening cardiovascular complications due to their propensity to trigger acute clinical events. Foam cell formation, resulting from dysregulated lipid homeostasis, serves as a pivotal pathological hallmark in the progression of atherosclerosis. In this study, we presented a precision therapeutic strategy targeting foam cells of multiple origins. The carrier-free nanomedicine Dlut based on luteolin was constructed, featuring CD44 active targeting and stimulus-driven traceless release. Dlut demonstrated active foam cell targeting capability and complete disintegration triggered by oxidative stress and acidic microenvironment, enabling a traceless release of luteolin. Transcriptomic profiling revealed that Dlut inhibited foam cell formation by accelerating lipid efflux. In vivo studies further demonstrated that Dlut significantly reduced plaque burden and improved plaque stability, highlighting a translational potential of atherosclerosis.

Songzan Chen, Zhaojing Wang, Zhida Shen, Di He, Lijuan Liu, Lingbo Qian, Boxuan Ma, He Huang. Luteolin Nanomedicine with Stimulus-Driven Traceless Release for Targeting Treatment of Atherosclerosis by Enhancing Lipid Efflux[J]. Research, 2025 , 8 (7) : 0754 - . DOI: 10.34133/research.0754
Atherosclerosis is a systemic disease characterized by chronic vascular inflammation and degeneration, although its exact mechanisms remain largely undefined [1]. Excessive cholesterol accumulation and subsequent formation of foam cells are well-established pathological hallmarks [2]. Foam cells originate from both immune cells and nonimmune cells [3]. Among these cell types, smooth muscle cells (SMCs) and macrophages served as the main source of foam cells [4]. Therapeutic targeting strategies that delay foam cell formation or alleviate intracellular lipid burden have been proven effective for atherosclerosis in animal models and clinical fields [5–7].
Recently, strategies based on natural products have shown great potential for the early prevention and treatment of atherosclerosis [8]. A wide range of natural compounds have exhibited excellent anti-atherosclerotic properties [9]. Especially, plant-derived natural products, such as flavonoids, which include flavone, flavanone, isoflavone, and dihydrochalcone, have shown great treatment potentials [10].
Luteolin (Lut), a naturally occurring flavone found in fruits and vegetables, is known for its various biological and pharmacological properties [11,12]. Previous studies have demonstrated that Lut possesses a variety of biological and pharmacological activities [13,14]. Meanwhile, Lut exhibited promising vascular protective potential [15,16]. As for atherosclerosis, Lut possesses therapeutic value for its regulatory effects under inflammation [17]. However, the therapeutic application of Lut for vascular diseases is limited by high lipophilicity and poor oral bioavailability [18]. Furthermore, emerging evidence suggested that Lut may exert cytotoxic effects under specific conditions, raising concerns about its potential adverse effects in therapeutic applications [19]. These limitations challenge the efficiency and translational application, underscoring the need for an effective drug delivery strategy. To effectively inhibit foam formation and suppress the progression of atherosclerosis, a foam cell targeting strategy with Lut might help overcome these problems.
For this strategy to succeed, it is critical to have a candidate cell membrane receptor that is expressed in abundance in foam cells and shows a disease-specific responsive expression [20]. Emerging evidence highlights CD44, a type I transmembrane glycoprotein, as a pivotal therapeutic target for modulating atherosclerosis progress within plaques [21,22]. CD44 is broadly expressed in its standard isoform across diverse cellular populations and becomes activated under pathological conditions on endothelial cells, SMCs, and immune cells [23,24]. It also orchestrates the initiation of plaque development through multiple mechanisms [25]. However, the function of CD44 during foam cell formation remains largely unknown. Recent studies have implicated CD44 in the formation of macrophage-derived foam cells via CD36 up-regulation [26,27]. However, the role of CD44 expression in SMC-derived foam cells remains unclear, making a targeting strategy to inhibit dual-lineage-derived foam cell formation within plaques a persistent challenge.
The evolution of nanotherapeutic platforms over the past decade has catalyzed the clinical translation of multifunctional systems for managing atherosclerosis and other diseases [28–31]. The pathologically disrupted endothelial architecture in atherosclerotic plaques creates a permissive microenvironment for nanoparticle accumulation [32,33]. By tailoring the nanoparticles to the distinct pathological hallmarks of atherosclerotic plaques, the nanoparticles can be engineered for active targeting of these lesions while significantly reducing immune recognition and subsequent clearance [34–36]. Collectively, the optimized nanoplatform minimizes off-target effects associated with nonspecific drug distribution while enhancing site-specific accumulation, thereby offering a promising strategy for improved theranostic efficacy [37,38].
In this study, we developed a targeted nanomedicine Dlut, based on Lut for the dual lineage foam cell targeting therapy within atherosclerotic plaques. The up-regulation of CD44 in foam cell induction in vitro derived from both SMC and macrophages was verified. Lut was aggregated into carrier-free nanoparticles using 4-(aminomethyl) phenyl boronic acid, and the nanomedicine was grafted on the surface with the oxidized dextran (oxDEX) [39,40]. The oxDEX-functionalized surface enables Dlut nanomedicine to retain structural stability in the bloodstream post-injection and facilitates their binding to overexpressed CD44 receptors on foam cells through the injured endothelium [41,42]. Upon reaching the atherosclerotic lesion site, the Dlut nanomedicine responded to the local oxidative stress and acidic microenvironment in atherosclerotic lesions [43,44]. This triggered a complete disintegration of Dlut nanoparticles, resulting in the traceless release of Lut. Transcriptome sequencing analysis elucidated that the underlying regulatory roles of Dlut during foam cell formation inhibited atherosclerotic progression primarily by activating the pathway of accelerated lipid efflux (Fig. 1). Our findings suggested that Dlut nanomedicine enables efficient Lut accumulation in foam cells derived from dual lineages, offering a pioneering therapeutic candidate for atherosclerosis.
The Dlut nanomedicine was prepared through a combination of borate ester reaction, phenolic condensation, and Schiff’s base reaction, which also endowed Dlut with the sensibility to reactive oxygen species (ROS) and acidic pH (Fig. 2A). Dlut was constructed with a diameter of 89.46 nm (polydispersity index 0.109), and a spherical morphology of the nanomedicine was also discovered under a transmission electron microscope (TEM) (Fig. 2B). The chemical bonding in Dlut was also characterized to indicate the formation of nanomedicine. According to the spectrum of x-ray photoelectron spectroscopy (XPS) and Fourier transform infrared (FTIR) (Fig. 2C and D), the elemental peak of C, O, N, and B was found, while the imine linkage and boric acid ester were observed to form with the characteristic absorption bands at 1,150 and 1,645 cm−1.
Furthermore, the responsiveness of Dlut nanomedicine under ROS and acidic pH was evaluated by measuring the variation in particle size. When the H2O2 concentration was greater than 0.1 mM, the particle size of Dlut increased significantly (Fig. 2E), and the nanostructure could also be interrupted by an acidic environment at pH 6.8 (Fig. 2F). Notably, Dlut demonstrated a more pronounced disintegration under ROS conditions. In addition, the disassembly of Dlut under ROS, as well as acidic pH, was also confirmed by TEM (Fig. 2G), which revealed a clear decomposition of nanoparticles and the presence of irregular fragments.
Moreover, the traceless release of Lut was further investigated by measuring the amount of free Lut after testing the nanomedicine under various conditions. As shown in Fig. 2H, while Dlut was interrupted by acidic pH to some extent with only 23% of the payload released after 48 h, the ROS condition could trigger a stronger release of Lut from the disintegration of Dlut, with nearly 80% released after 48 h. Together, the Dlut nanomedicine indicated a rapid sensitivity when under acidic pH along with oxidative stress, where about 80% of Lut was delivered in 12 h and nearly 90% was released after 48 h.
Given the diverse origins of foam cells and unique features of foam cells, 2 main cell types, macrophages (RAW 264.7) and SMCs (MOVAS), were utilized for the induction of foam cells in vitro with the activation of lipopolysaccharide (LPS) and oxidized low-density lipoprotein (oxLDL). CD44 was found to be significantly up-regulated in both cell types and polarization phenotype (Figs. S1 and S2). Therefore, to enable selective targeting, the nanoparticles were engineered to interact with CD44. First, the localized therapeutic potential of Dlut targeting lipid-laden foam cells was investigated in vitro. Fluorescence imaging was used to trace the internalization of Dlut in foam cells derived from macrophages and SMC (Fig. 3A). Moreover, the nanoparticles without CD44 selection (Plut) were used as the negative control. We found increasing fluorescence intensity observed in cells over a 6-h period, which suggested a progressive accumulation of Dlut nanoparticles (Fig. 3B). What is more, the extra hyaluronic acid (HA) was added to block CD44 for indicating the specific uptake. As shown in Fig. S3, a concentration-dependent blockage of CD44 by HA could inhibit the internalization of Dlut, which indicated that the specific endocytosis of Dlut was mediated by CD44.
Atherosclerosis is characterized by chronic inflammation and the accumulation of lipids, processes primarily driven by the involvement of macrophages and foam cells. Hence, based on the previous studies on the anti-inflammatory and antioxidant properties of Lut, Dlut was expected to achieve the inhibition of foam cell formation. Accordingly, the addition of Dlut was found to significantly inhibit foam cell formation in both macrophages and SMC (Fig. 3C). Compared to free Lut, Dlut exhibited greater efficiency in preventing foam cell formation (Fig. 3D). Furthermore, the nanomedicine without stimuli responsiveness (NRlut) and 2 typical agents (dexamethasone and atorvastatin) were also used to investigate the therapeutic outcome of Dlut (Fig. S4). NRlut exhibited diminished therapeutic efficacy in the absence of stimuli responsiveness, while Dlut indicated a similar therapeutic effect with dexamethasone, and even showed a better outcome than atorvastatin in treating foam cells originating from MOVAS. These results highlight Dlut’s ability to suppress foam cells of dual cellular origin in vitro, supporting its potential as an effective therapeutic agent for in vivo treatment of atherosclerosis.
According to in vitro demonstration in foam cells from macrophages and SMC, Dlut exhibited considerable anti-atherosclerosis activity. Previous studies have demonstrated that Lut possesses strong antioxidant properties applicable to various diseases [45–47]. Nevertheless, the molecular mechanism of Dlut nanomedicine modulating inflammation and lipid metabolism remains unclear. Thereafter, to further the mechanism of Dlut regulating foam cells, transcriptome analysis was further investigated. As shown in Fig. 3E, whole transcriptome RNA sequencing was performed on foam cells following treatment with Dlut. First, principal components analysis (PCA) was performed on all 9 samples (Fig. 3F). Significant heterogeneity was found among the 3 groups, whereas relatively excellent homogeneity existed within the samples per group. Given the distinct properties among the 3 groups, the triwise plot was illustrated to identify potential hub genes (Fig. 3G). We primarily focused on the genes reversely regulated by Dlut under oxLDL stimulation (red and blue dots).
A total of 70 Dlut up-regulating differentially expressed genes (DEGs) and 37 Dlut down-regulating DEGs were identified (Fig. S5). Interestingly, 2 genes, Abca1 and Abcg1, which played important roles in lipid efflux, were identified (Fig. 3G). The 107 Dlut regulated genes were mainly enriched in pathways related to the pathogenesis of hypercholesterolemia, atherosclerotic lesions, atherosclerosis of the aorta, and atherothrombosis (Fig. 3H). Moreover, we found a strong association between these genes and the pathways of cholesterol metabolism, indicating that lipid metabolism might play an important role in the Dlut regulated foam cell formation (Fig. 3I) [48,49]. In addition, the up-regulated expression of Abca1 and Abcg1 was also confirmed (Fig. 3J).
To validate the up-regulation of ABCA1 and ABCG1 by sequencing technologies, we investigated the lipid content within foam cells after 4 h of incubation by Dil-oxLDL. Consistent with earlier findings, reduced oxLDL accumulation was observed in foam cells derived from both macrophages and SMCs, indicating enhanced efflux activities in these cells (Fig. 4A). Accordingly, oxLDL levels in the supernatant were significantly increased in Dlut-treated cells (Fig. 4B). In addition, the up-regulated mRNA expression of ABCA1 and ABCG1 was validated by quantitative polymerase chain reaction (qPCR) (Fig. 4C). Previous studies reported that ABCA1 and ABCG1 were regulated by the peroxisome proliferator-activated receptor-liver X receptor (PPAR-LXR) pathway [50]. To explore this mechanism, the expression levels of PPARγ and LXR were also examined. The expression of LXR mRNA was significantly enhanced by Dlut, whereas no significant change in PPARγ mRNA expression was found, suggesting the involvement of posttranslational mechanisms. These findings were further confirmed at the protein level, with statistically significant differences observed in both cell types (Fig. 4D and E and Fig. S6). To further investigate the mechanism of Dlut influencing LXR-ABCA1/ABCG1, the inhibitor was added to block the LXR and ATP-binding cassette transporter (ABC) pathway. As shown in Fig. S7, after being treated with the LXR inhibitor [glycogen synthase kinase (GSK)], the up-regulation of LXR, ABCA1, and ABCG1 was counteracted. On the other hand, when the ABC inhibitor (DIDS) was added, the up-regulation of ABCA1 and ABCG1 by Dlut was weakened, while the promotion to LXR was maintained. The results showed a direct regulation of Dlut to LXR, ABCA1, and ABCG1, which synergistically accelerated the lipid efflux from foam cells (Fig. 4F).
Under clinical circumstances, achieving effective medication dosage within atherosclerotic plaques is critical for therapeutic success. To evaluate the in vivo efficacy of Dlut, the nanomedicine was administered using animal models. Considering the poor water solubility of Lut and the potential toxicity of long-term dimethylsulfoxide (DMSO) injection, a control group was established using nontargeted nanoparticles (Plut), which lacked plaque-targeting capability.
The preliminary in vivo biosafety evaluation and pharmacokinetics of Dlut were initially conducted in ApoE−/− mice and revealed no evidence of acute toxicity in major organ systems (Fig. S8) and a satisfactory circulation time (Fig. S9). Subsequently, the active targeting capability of Dlut mediated via its oxDEX surface was compared to Plut, which featured a nontargeted polyethylene glycol (PEG) coating (Fig. 5A). There was a higher accumulation of Dlut found in the lesions of diseased aortas (Fig. 5B), and the immunofluorescence suggests that Dlut was colocalized with macrophages and SMCs (Fig. S10). Leveraging a passive targeting mechanism facilitated by the endothelium disruption, Plut exhibited significant aortic accumulation within 24 h post-injection. In contrast, Dlut nanoparticles functionalized with oxDEX demonstrated superior targeting efficiency to atherosclerotic plaques through CD44-mediated active targeting mechanisms. Additionally, Plut exhibited greater accumulation in the liver and kidney compared to Dlut, suggesting enhanced metabolic processing of Plut relative to Dlut (Fig. S11).
Next, we evaluated the in vivo therapeutic efficacy of Dlut in atherosclerotic animal models. As outlined in the experimental timeline outlined in Fig. 5C, mice were euthanized at 12 weeks, and atherosclerotic plaque burden in the aorta was initially assessed via Oil red O (ORO) staining (Fig. 5D). Compared to the saline-treated group, Plut demonstrated a significant reduction of ORO-positive areas in the aortic tissues, indicating an attenuation of atherosclerotic plaque progression. This underscores the therapeutic efficacy of Lut-based therapy even in the absence of active targeting mechanisms.
Importantly, Dlut nanoparticles, equipped with oxDEX-mediated active targeting, demonstrated superior anti-atherosclerotic efficacy compared to Plut, with a markedly greater reduction in ORO-positive plaques (Fig. 5E). To further investigate treatment effects, aortic root sections were subjected to multivariate analysis (Fig. 5F). Consistent with the en face aortic ORO staining, the analysis of aortic root sections confirmed that Dlut exhibited the strongest inhibitory effect on plaque progression, as reflected by the smallest lipid deposition area (Fig. 5G).
Additionally, hematoxylin and eosin (H&E) staining revealed distinct differences in plaque morphology across treatment groups. The saline-treated group displayed extensive necrotic cores, whereas Plut treatment significantly reduced necrotic areas. Notably, Dlut-treated plaques exhibited structurally compact morphology, indicating a superior ability to suppress pathological cellular necrosis within plaques (Fig. 6A and B). Furthermore, collagen content within the atherosclerotic plaques was determined by Masson’s trichrome staining. As shown in Fig. 6C, the saline-treated group exhibited reduced collagen deposition, consistent with the degradation of the extracellular matrix in vulnerable plaques. In contrast, both Plut and Dlut could protect the collagen structure to some extent, with Dlut demonstrating enhanced efficacy in preventing collagen degradation. Macrophage infiltration and secretion of matrix metalloproteinase-9 (MMP-9) are known to exacerbate plaque erosion [51]. To evaluate these pathological changes, immunohistochemical staining targeting for CD68 (macrophage marker) and MMP-9 was performed (Fig. 6D and E). Compared to the control group, the Plut-treated group exhibited reduced CD68+ (macrophage) and MMP-9+ immunoreactive atherosclerosis, whereas the Dlut-treated group demonstrated the lowest macrophage infiltration and lowest MMP-9 expression among all cohorts. Furthermore, the influence of Dlut on the macrophages in plaques was detailly studied (Fig. S12). The infiltrated macrophages (CCR2+) were inhibited after being treated with Dlut, which indicated a reduced inflammatory environment. On the other hand, Dlut could also enhance the activity of resident-like macrophages (LYVE1+), suggesting a microenvironment with balanced immunity.
In sum, by leveraging the active foam cell targeting properties of Lut, Dlut demonstrated superior efficacy in mitigating vulnerable plaque evidenced by reduced lipid deposition, decreased necrosis, diminished macrophage infiltration, and inhibited MMP activity.
Finally, the underlying mechanisms of lipid regulation were further investigated in atherosclerotic mice treated with Plut or Dlut, following the experimental protocol. As illustrated in Fig. 6F, aortic root sections were immunostained with antibodies targeting LXR, ABCA1, and ABCG1. Both Plut and Dlut treatment groups exhibited marked activation of LXR, ABCA1, and ABCG1 expression compared to controls. Notably, Dlut treatment demonstrated superior inhibitory effects compared to Plut, likely due to its enhanced tissue accumulation mediated via active targeting capabilities (Fig. 6G). The selective foam cell targeting strategy of Lut exhibited therapeutic potential in the theranostics of atherosclerosis. The promising therapeutic efficacy of Dlut underscores the clinical potential as a nanoplatform-based therapy.
Despite the promising therapeutic potential of Lut in atherosclerosis, its clinical application was seriously restricted by uncontrollable systematic problems [52–58]. Although nanocarriers enable more efficient drug delivery and reduce toxicity, the additional components required to prepare nanomedicines have also raised concerns about the risk of dose dependency. Therefore, the carrier-free nanomedicine has been developed to overcome this problem. Further, a carrier-free nanomedicine was also endowed with the ability to respond to stimuli in a specific microenvironment, which is considered a traceless release system. Nanomedicines with traceless release properties can be broken down into effective drugs without the need for additional molecules, thus reducing the risk of uncertainty associated with additional components. In the current study, we constructed a Dlut nanomedicine with an active CD44-targeting strategy and stimulus-driven, traceless release of Lut. Dlut demonstrated a robust target efficiency toward atherosclerotic lesions, enabling site-specific accumulation. Moreover, in vivo results indicated that the active targeting strategy outperformed a nontargeting nanomedicine (Plut). On the other hand, its responsiveness to the oxidative stress and acidic microenvironment within plaques helped timely release of Lut in a traceless way. RNA sequencing-based mechanistic investigation revealed that Dlut treatment significantly modulated genes involved in cholesterol metabolism. Three key genes (LXR, ABCA1, and ABCG1) were activated under the treatment of Dlut, indicating that activated lipid efflux might be a central mechanism underlying Dlut’s inhibitory effect on foam cell formation.
Although emerging evidence revealed the therapeutic application of Lut for atherosclerosis, most studies focused on the anti-inflammatory effects [17,59,60]. In this study, we discovered that the Dlut nanomedicine mainly inhibited foam cell formation by regulating lipid metabolism. First, 2 genes that are closely related to cholesterol metabolism (ABCA1 and ABCG1) were found to be down-regulated after oxLDL treatment and reversely up-regulated by Dlut. ABCA1 and ABCG1 are crucial transporters involved in the process of lipid efflux [61,62]. Further, previous studies reported that the transcriptions of both ABCA1 and ABCG1 were regulated by LXR [63,64]. Therefore, we also confirmed the up-regulation of LXR after Dlut treatment both in vitro and in vivo. Our study uncovered the novel cholesterol regulatory mechanism of Lut in foam cells derived from dual lineages, which expanded the possible therapeutic mechanism of Lut.
In conclusion, the carrier-free Dlut nanomedicine improved the in vivo solubility and biosafety of Lut by enabling targeted delivery to the atherosclerotic plaques by recognizing overexpressed CD44. The oxidative stress and acidic microenvironment within plaques triggered the complete disintegration of Dlut as well as the traceless release of Lut. This targeted release inhibited the progression of atherosclerosis by enhancing the lipid reflux via the LXR-ABCA1/G1 pathway. Overall, the therapeutic strategy based on Dlut nanomedicine represents a promising candidate for the targeted treatment of atherosclerosis.
Lut (5 mg) and 4-(aminomethyl) phenyl boronic acid (5 mg) were dissolved in a 7-ml solution of DMSO and water (1:1, v/v). After 15 min of stirring, 2 μl of formaldehyde solution was added, followed by the addition of oxDEX solution [10 mg in 0.5 ml of phosphate-buffered saline (PBS)]. After another 4 h of stirring, the solution was added dropwise into PBS solution and dialyzed after 2 h against PBS. Following a similar procedure, the Plut nanomedicine without targeting ability was also prepared as the control (Fig. S13). The NRlut nanomedicine without stimuli responsiveness was prepared with polylysine rather than 4-(aminomethyl) phenyl boronic acid. The particle size of Dlut was confirmed by dynamic light scattering (DLS) as well as the TEM, and the chemical bonding in nanomedicine was also characterized with XPS and FTIR.
RAW 264.7 cells or MOVAS cells were seeded in the confocal dishes (105 cells per dish) and stimulated into foam cells. Next, the solution of (Rho)Dlut (1 mg/ml) or (Rho)Plut (1 mg/ml) was added. After being cocultured with (Rho)Dlut/(Rho)Plut for 2, 4, and 6 h, the cells were washed with PBS, fixed with 4% paraformaldehyde, and then stained with 4′,6-diamidino-2-phenylindole (DAPI) for 10 min. On the other hand, the extra HA with various concentrations were added along with (Rho)Dlut. After 4 h of incubation, the fluorescence of (Rho)Dlut in foam cells was observed by confocal laser scanning microscope (CLSM). Images were captured using a Nikon A1 Confocal Microscope (Nikon, Japan), and fluorescence intensity was quantified using ImageJ.
To assess the lipid removal capacity of Dlut, RAW 264.7 cells were initially cultured in 12-well plates at a density of 105 cells per well for 24 h. Before being stimulated into foam cells with LPS (500 ng/ml) and oxLDL (50 μg/ml) (Yiyuan, China) for 24 h, the cells were treated for an additional 4 h with saline, Lut (5 mg/ml), Dlut (1 mg/ml), NRlut (1 mg/ml), dexamethasone (1 nM), or atorvastatin (3 μM). Concurrently, MOVAS cells were cultured in 12-well plates at a density of 5 × 104 cells per well and stimulated into foam cells with oxLDL (80 μg/ml). Cells were washed with PBS and fixed with 4% paraformaldehyde for 20 min, washed with PBS again, and stained with Oil Red O Stain Kit (Nanjing JianCheng, China). Images were acquired using a fluorescent inverted microscope (Olympus, Japan), and ORO-positive area quantitative analysis was performed using ImageJ.
RAW 264.7 cells were initially cultured in 12-well plates at a density of 105 cells per well for 24 h. Before being stimulated into foam cells with LPS (500 ng/ml) and oxLDL (50 μg/ml) (Yiyuan, China) for 24 h, the cells were treated for an additional 4 h with saline, Lut (5 mg/ml), and Dlut (1 mg/ml). Concurrently, MOVAS cells were cultured in 12-well plates at a density of 5 × 104 cells per well and stimulated into foam cells with oxLDL (80 μg/ml). Cells were washed with PBS and fixed with 4% paraformaldehyde for 20 min. The membranes were blocked with 5% bovine serum albumin (BSA) in PBS for 1 h at room temperature and subsequently incubated overnight at 4 °C with specific primary antibodies, such as ABCA1 (Novus, USA) and ABCG1 (Novus, USA). Following washes with PBS, the membranes were incubated with fluorescent secondary antibody and then stained with DAPI for 10 min. Images were captured using a Nikon A1 Confocal Microscope (Nikon, Japan), and fluorescence intensity was quantified using ImageJ.
To assess the cellular lipid exclusion capability of Dlut, a mouse oxLDL enzyme-linked immunosorbent assay (ELISA) kit (Elabscience, China) and Dil-oxLDL (Yiyuan, China) were used. After inducing cells to form foam cells as described, the culture medium was replaced with a normal medium for 24 or 48 h, and the supernatant was collected for ELISA analysis. Next, cells were incubated with Dil-oxLDL for 4 h, followed by replacement with a normal medium for an additional 12 h. Images were captured using a Nikon A1 Confocal Microscope (Nikon, Japan), and fluorescence intensity was quantified using ImageJ software.
As mentioned previously, 16-week-old male ApoE−/− mice were fed with high-fat diet (HFD) for 8 weeks and received intraperitoneal injections of either (Rho)Dlut or (Rho)Plut (100 mg/kg). The mice were sacrificed at 6, 12, and 24 h, and we collected the aorta, heart, liver, spleen, lungs, and kidneys. The fluorescent imaging was receipted by IVIS Lumina LT (Perkin Elmer, USA). Subsequently, the remaining viscera were fixed for H&E staining, and the aortic arch was sliced into sections with plaque. Images were captured using a Nikon A1 Confocal Microscope (Nikon, Japan), and fluorescence intensity was quantified using ImageJ.
HFD was performed on 8-week-old male ApoE−/− mice for another 8 weeks to induce the atherosclerosis, while 6 mice were sacrificed stochastically with the aortas separated, followed by longitudinally opening and ORO staining, and sections of the aortic roots were also stained with ORO, which were regarded as the baseline. Subsequently, the remaining mice were randomly assigned to 3 groups (n = 6), receiving intraperitoneal injections of either Dlut or Plut (100 mg/kg) every other day for an additional 4 weeks while continuing on the HFD. At the ending point, the mice were euthanized, and their aortas were isolated and stained with ORO, and sections of the aortic roots were stained with ORO, H&E, and Masson. Immunohistochemistry and immunofluorescence were performed on aortic roots to assess CD68, α-smooth muscle actin (α-SMA), MMP-9, ABCA1, ABCG1, LXR, CCR2, and LYVE1. The area ratio of stain-positive tissue to the plaque was quantified.
All data are presented as mean ± SD. The sample size was not predetermined by statistical methods but was determined based on experimental feasibility and sample availability. Samples were processed in a randomized order. For comparisons between the 2 groups, a 2-tailed unpaired t test was employed. For comparisons involving multiple groups, one-way analysis of variance (ANOVA) followed by Tukey’s or Dunnett’s multiple comparison test was performed using GraphPad Prism 8. A P value of <0.05 was considered statistically significant.
  • National Natural Science Foundation of China(82000404)
  • National Natural Science Foundation of China(32201128)
  • Natural Science Funds of Zhejiang Province, China(LQ21H020003)
  • Natural Science Funds of Zhejiang Province, China(ZCLY24H1801)
  • Zhejiang TCM Science and Technology Program(2025ZS021)
  • Zhejiang TCM Science and Technology Program(2025ZS022)
1.
Hunt KJ, Jaffa MA, Garrett SM, Luttrell DK, Lipson KE, Lopes-Virella MF, Luttrell LM, Jaffa AA, Investigators V. Plasma connective tissue growth factor (CTGF/CCN2) levels predict myocardial infarction in the Veterans Affairs Diabetes Trial (VADT) cohort. Diabetes Care. 2018;41(4):840–846.
2.
Liang H, Chen M, Qi F, Shi L, Duan Z, Yang R, He J, Lou B, Li Y, Yang Q. The proatherosclerotic function of indoleamine 2, 3-dioxygenase 1 in the developmental stage of atherosclerosis. Signal Transduct Target Ther. 2019;4:23.
3.
Gui Y, Zheng H, Cao RY. Foam cells in atherosclerosis: Novel insights into its origins, consequences, and molecular mechanisms. Front Cardiovasc Med. 2022;9:845942.
4.
Tong X, Khandelwal AR, Wu X, Xu Z, Yu W, Chen C, Zhao W, Yang J, Qin Z, Weisbrod RM, et al.Pro-atherogenic role of smooth muscle Nox4-based NADPH oxidase. J Mol Cell Cardiol. 2016;92:30–40.
5.
Maguire EM, Pearce SWA, Xiao Q. Foam cell formation: A new target for fighting atherosclerosis and cardiovascular disease. Vasc Pharmacol. 2019;112:54–71.
6.
Wang B, Tang X, Yao L, Wang Y, Chen Z, Li M, Wu N, Wu D, Dai X, Jiang H, et al.Disruption of USP9X in macrophages promotes foam cell formation and atherosclerosis. J Clin Invest. 2022;132(10):Article e154217.
7.
Pi S, Mao L, Chen J, Shi H, Liu Y, Guo X, Li Y, Zhou L, He H, Yu C, et al.The P2RY12 receptor promotes VSMC-derived foam cell formation by inhibiting autophagy in advanced atherosclerosis. Autophagy. 2021;17(4):980–1000.
8.
Markina YV, Kirichenko TV, Markin AM, Yudina IY, Starodubova AV, Sobenin IA, Orekhov AN. Atheroprotective effects of Glycyrrhiza glabra L. Molecules. 2022;27(15):4697.
9.
Qiao L, Chen W. Atheroprotective effects and molecular targets of bioactive compounds from traditional Chinese medicine. Pharmacol Res. 2018;135:212–229.
10.
Zhao R, Zhou Y, Zhang H, Pan J, Yang F, Zhang R, Ahmad N, Yang J, Sun M. Morusin enhances temozolomide efficiency in GBM by inducing cytoplasmic vacuolization and endoplasmic reticulum stress. J Clin Med. 2022;11(13):3662.
11.
Jiang Q, Pan D, Yang Y, Hu Y, Fang L, Shang P, Xia Y, Li D. Luteolin regulates macrophage polarization via the PI3K/Akt pathway to inhibit the apoptosis stimulated by angiotensin II. Curr Pharm Biotechnol. 2018;19(5):428–437.
12.
Luo Y, Shang P, Li D. Luteolin: A flavonoid that has multiple cardio-protective effects and its molecular mechanisms. Front Pharmacol. 2017;8:692.
13.
Li L, Pan G, Fan R, Li D, Guo L, Ma L, Liang H, Qiu J. Luteolin alleviates inflammation and autophagy of hippocampus induced by cerebral ischemia/reperfusion by activating PPAR gamma in rats. BMC Complement Med Ther. 2022;22(1):176.
14.
Iida K, Naiki T, Naiki-Ito A, Suzuki S, Kato H, Nozaki S, Nagai T, Etani T, Nagayasu Y, Ando R, et al.Luteolin suppresses bladder cancer growth via regulation of mechanistic target of rapamycin pathway. Cancer Sci. 2020;111(4):1165–1179.
15.
Pan Y, Liu T, Wang X, Sun J. Research progress of coumarins and their derivatives in the treatment of diabetes. J Enzyme Inhib Med Chem. 2022;37(1):616–628.
16.
Yu X, Xu L, Su C, Wang C, Wang Z, Wang Y, Lu X, Sun H. Luteolin protects against vascular calcification by modulating SIRT1/CXCR4 signaling pathway and promoting autophagy. AAPS J. 2024;26(6):111.
17.
Ding X, Zheng L, Yang B, Wang X, Ying Y. Luteolin attenuates atherosclerosis via modulating signal transducer and activator of transcription 3-mediated inflammatory response. Drug Des Devel Ther. 2019;13:3899–3911.
18.
Chang XQ, Yue RS. Therapeutic potential of luteolin for diabetes mellitus and its complications. Chin J Integr Med. 2025;31(6):566–576.
19.
Bai L, Xu X, Wang Q, Xu S, Ju W, Wang X, Chen W, He W, Tang H, Lin Y. A superoxide-mediated mitogen-activated protein kinase phosphatase-1 degradation and c-Jun NH(2)-terminal kinase activation pathway for luteolin-induced lung cancer cytotoxicity. Mol Pharmacol. 2012;81(4):549–555.
20.
Wang Y, Chen Z, Zhu Q, Chen Z, Fu G, Ma B, Zhang W. Aiming at early-stage vulnerable plaques: A nanoplatform with dual-mode imaging and lipid-inflammation integrated regulation for atherosclerotic theranostics. Bioact Mater. 2024;37:94–105.
21.
Krolikoski M, Monslow J, Pure E. The CD44-HA axis and inflammation in atherosclerosis: A temporal perspective. Matrix Biol. 2019;78-79:201–218.
22.
Chen Q, Guo C, Zhou X, Su Y, Guo H, Cao M, Li J, Zhang Y, Zhao W, Gao X, et al.N-acetylneuraminic acid and chondroitin sulfate modified nanomicelles with ROS-sensitive H(2)S donor via targeting E-selectin receptor and CD44 receptor for the efficient therapy of atherosclerosis. Int J Biol Macromol. 2022;211:259–270.
23.
Johnson P, Ruffell B. CD44 and its role in inflammation and inflammatory diseases. Inflamm Allergy Drug Targets. 2009;8(3):208–220.
24.
Weng X, Maxwell-Warburton S, Hasib A, Ma L, Kang L. The membrane receptor CD44: Novel insights into metabolism. Trends Endocrinol Metab. 2022;33(5):318–332.
25.
Zhao L, Hall JA, Levenkova N, Lee E, Middleton MK, Zukas AM, Rader DJ, Rux JJ, Pure E. CD44 regulates vascular gene expression in a proatherogenic environment. Arterioscler Thromb Vasc Biol. 2007;27(4):886–892.
26.
Tabata T, Mine S, Okada Y, Tanaka Y. Low molecular weight hyaluronan increases the uptaking of oxidized LDL into monocytes. Endocr J. 2007;54(5):685–693.
27.
Kishikawa H, Mine S, Kawahara C, Tabata T, Hirose A, Okada Y, Tanaka Y. Glycated albumin and cross-linking of CD44 induce scavenger receptor expression and uptake of oxidized LDL in human monocytes. Biochem Biophys Res Commun. 2006;339(3):846–851.
28.
Li Z, Hu S, Huang K, Su T, Cores J, Cheng K. Targeted anti-IL-1beta platelet microparticles for cardiac detoxing and repair. Sci Adv. 2020;6(6):eaay0589.
29.
Liu M, Lutz H, Zhu D, Huang K, Li Z, Dinh PC, Gao J, Zhang Y, Cheng K. Bispecific antibody inhalation therapy for redirecting stem cells from the lungs to repair heart injury. Adv Sci. 2020;8(1):2002127.
30.
Allen TM, Cullis PR. Drug delivery systems: Entering the mainstream. Science. 2004;303(5665):1818–1822.
31.
Choi HS, Frangioni JV. Nanoparticles for biomedical imaging: Fundamentals of clinical translation. Mol Imaging. 2010;9(6):291–310.
32.
Hodis HN, Amartey JK, Crawford DW, Wickham E, Sharma RC, Blankenhorn DH. Relationship of arterial wall uptake of radiolabeled liposomes to the presence of monocyte/macrophage cells in the hypertensive and atherosclerotic arterial wall. Atherosclerosis. 1991;87(2-3):109–117.
33.
Jaffer FA, Libby P, Weissleder R. Optical and multimodality molecular imaging: Insights into atherosclerosis. Arterioscler Thromb Vasc Biol. 2009;29(7):1017–1024.
34.
Kirpotin DB, Drummond DC, Shao Y, Shalaby MR, Hong K, Nielsen UB, Marks JD, Benz CC, Park JW. Antibody targeting of long-circulating lipidic nanoparticles does not increase tumor localization but does increase internalization in animal models. Cancer Res. 2006;66(13):6732–6740.
35.
Joner M, Morimoto K, Kasukawa H, Steigerwald K, Merl S, Nakazawa G, John MC, Finn AV, Acampado E, Kolodgie FD, et al.Site-specific targeting of nanoparticle prednisolone reduces in-stent restenosis in a rabbit model of established atheroma. Arterioscler Thromb Vasc Biol. 2008;28(11):1960–1966.
36.
Kim J, Cao L, Shvartsman D, Silva EA, Mooney DJ. Targeted delivery of nanoparticles to ischemic muscle for imaging and therapeutic angiogenesis. Nano Lett. 2011;11(2):694–700.
37.
Liu Y, Xu CF, Iqbal S, Yang XZ, Wang J. Responsive nanocarriers as an emerging platform for cascaded delivery of nucleic acids to cancer. Adv Drug Deliv Rev. 2017;115:98–114.
38.
Montero de Espinosa L, Meesorn W, Moatsou D, Weder C. Bioinspired polymer systems with stimuli-responsive mechanical properties. Chem Rev. 2017;117(20):12851–12892.
39.
Hou X, Lin H, Zhou X, Cheng Z, Li Y, Liu X, Zhao F, Zhu Y, Zhang P, Chen D. Novel dual ROS-sensitive and CD44 receptor targeting nanomicelles based on oligomeric hyaluronic acid for the efficient therapy of atherosclerosis. Carbohydr Polym. 2020;232:115787.
40.
Xu H, She P, Zhao Z, Ma B, Li G, Wang Y. Duplex responsive nanoplatform with cascade targeting for atherosclerosis photoacoustic diagnosis and multichannel combination therapy. Adv Mater. 2023;35(21):Article e2300439.
41.
Liu M, Du H, Khan AR, Ji J, Yu A, Zhai G. Redox/enzyme sensitive chondroitin sulfate-based self-assembled nanoparticles loading docetaxel for the inhibition of metastasis and growth of melanoma. Carbohydr Polym. 2018;184:82–93.
42.
Liu M, Khan AR, Ji J, Lin G, Zhao X, Zhai G. Crosslinked self-assembled nanoparticles for chemo-sonodynamic combination therapy favoring antitumor, antimetastasis management and immune responses. J Control Release. 2018;290:150–164.
43.
Rungsung S, Singh TU, Perumalraja K, Mahobiya A, Sharma M, Lingaraju MC, Parida S, Sahoo M, Kumar D. Luteolin alleviates vascular dysfunctions in CLP-induced polymicrobial sepsis in mice. Pharmacol Rep. 2022;74(5):1054–1068.
44.
Queiroz M, Leandro A, Azul L, Figueirinha A, Seica R, Sena CM. Luteolin improves perivascular adipose tissue profile and vascular dysfunction in Goto-Kakizaki rats. Int J Mol Sci. 2021;22, 24:13671.
45.
Ren Y, Li G, Li E, Deng K, Lian J, Gao Q, Wang H, Wang X, Wang Z, Shen T, et al.Luteolin blocks the ROS/PI3K/AKT pathway to inhibit mesothelial-mesenchymal transition and reduce abdominal adhesions. Eur J Pharmacol. 2024;964:176272.
46.
Tan C, Fan H, Ding J, Han C, Guan Y, Zhu F, Wu H, Liu Y, Zhang W, Hou X, et al.ROS-responsive nanoparticles for oral delivery of luteolin and targeted therapy of ulcerative colitis by regulating pathological microenvironment. Mater Today Bio. 2022;14:100246.
47.
Ge X, Wang C, Chen H, Liu T, Chen L, Huang Y, Zeng F, Liu B. Luteolin cooperated with metformin hydrochloride alleviates lipid metabolism disorders and optimizes intestinal flora compositions of high-fat diet mice. Food Funct. 2020;11(11):10033–10046.
48.
Chen X, Chen S, Pang J, Huang R, You Y, Zhang H, Xiao J, Xue H, Ling W. Hepatic steatosis aggravates atherosclerosis via small extracellular vesicle-mediated inhibition of cellular cholesterol efflux. J Hepatol. 2023;79(6):1491–1501.
49.
Gan J, Guo L, Zhang X, Yu Q, Yang Q, Zhang Y, Zeng W, Jiang X, Guo M. Anti-inflammatory therapy of atherosclerosis: Focusing on IKKbeta. J Inflamm. 2023;20(1):8.
50.
Matsuo M. ABCA1 and ABCG1 as potential therapeutic targets for the prevention of atherosclerosis. J Pharmacol Sci. 2022;148(2):197–203.
51.
Ahmad Z, Blin J, Rampal L, Adnan RS, Mohtarrudin N, Abang Yusuf DSY. Association of LDLR, TP53 and MMP9 gene polymorphisms with atherosclerosis in a Malaysian study population. Curr Probl Cardiol. 2023;48(6):101659.
52.
Imran M, Rauf A, Abu-Izneid T, Nadeem M, Shariati MA, Khan IA, Imran A, Orhan IE, Rizwan M, Atif M, et al.Luteolin, a flavonoid, as an anticancer agent: A review. Biomed Pharmacother. 2019;112:108612.
53.
Zhao X, Sun C, Xiong F, Wang T, Li S, Huo F, Yao X. Polymerization-induced self-assembly for efficient fabrication of biomedical nanoplatforms. Research. 2023;6:0113.
54.
Ji W, Zhang Y, Shao W, Kankala RK, Chen A. β-Cyclodextrin-based nanoassemblies for the treatment of atherosclerosis. Regen Biomater. 2024;11:Article rbae071.
55.
Yang W, Ma Y, Haiting X, Zhu Z, Jiaxue W, Cheng X, Sun W, Zhao E, Wang M, Reis RL, et al.Mulberry biomass-derived nanomedicines mitigate colitis through improved inflamed mucosa accumulation and intestinal microenvironment modulation. Research. 2023;6:0188.
56.
Ji W, Zhang Y, Deng Y, Li C, Kankala RK, Chen A. Nature-inspired nanocarriers for improving drug therapy of atherosclerosis. Regen Biomater. 2023;10:Article rbad069.
57.
Fang F, Xiao C, Li C, Liu X, Li S. Tuning macrophages for atherosclerosis treatment. Regen Biomater. 2022;10:Article rbac103.
58.
Li X, Li X, Yang J, Du Y, Chen L, Zhao G, Tingjun Ye T, Zhu Y, Xu X, Deng L, et al.In situ sustained macrophage-targeted nanomicelle–hydrogel microspheres for inhibiting osteoarthritis. Research. 2023;6:0131.
59.
Jia Z, Nallasamy P, Liu D, Shah H, Li JZ, Chitrakar R, Si H, McCormick J, Zhu H, Zhen W, et al.Luteolin protects against vascular inflammation in mice and TNF-alpha-induced monocyte adhesion to endothelial cells via suppressing IKappaBalpha/NF-kappaB signaling pathway. J Nutr Biochem. 2015;26(3):293–302.
60.
Xia F, Wang C, Jin Y, Liu Q, Meng Q, Liu K, Sun H. Luteolin protects HUVECs from TNF-alpha-induced oxidative stress and inflammation via its effects on the Nox4/ROS-NF-kappaB and MAPK pathways. J Atheroscler Thromb. 2014;21(8):768–783.
61.
Han XB, Li HX, Jiang YQ, Wang H, Li XS, Kou JY, Zheng YH, Liu ZN, Li H, Li J, et al.Upconversion nanoparticle-mediated photodynamic therapy induces autophagy and cholesterol efflux of macrophage-derived foam cells via ROS generation. Cell Death Dis. 2017;8(6):Article e2864.
62.
Wang Y, Zhao J, Li Q, Liu J, Sun Y, Zhang K, Fan M, Qian H, Li Y, Wang L. L-Arabinose improves hypercholesterolemia via regulating bile acid metabolism in high-fat-high-sucrose diet-fed mice. Nutr Metab (Lond). 2022;19(1):30.
63.
Fond AM, Lee CS, Schulman IG, Kiss RS, Ravichandran KS. Apoptotic cells trigger a membrane-initiated pathway to increase ABCA1. J Clin Invest. 2015;125(7):2748–2758.
64.
Zhang H, Ni M, Wang H, Zhang J, Jin D, Busuttil RW, Kupiec-Weglinski JW, Li W, Wang X, Zhai Y. Gsk3beta regulates the resolution of liver ischemia/reperfusion injury via MerTK. JCI Insight. 2023;8(1):Article e151819.
65.
van de Laar L, Saelens W, De Prijck S, Martens L, Scott CL, Van Isterdael G, Hoffmann E, Beyaert R, Saeys Y, Lambrecht BN, et al.Yolk sac macrophages, fetal liver, and adult monocytes can colonize an empty niche and develop into functional tissue-resident macrophages. Immunity. 2016;44(4):755–768.
66.
Yu G, Wang LG, Yan GR, He QY. DOSE: An R/Bioconductor package for disease ontology semantic and enrichment analysis. Bioinformatics. 2015;31(4):608–609.
67.
Pinero J, Ramirez-Anguita JM, Sauch-Pitarch J, Ronzano F, Centeno E, Sanz F, Furlong LI. The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic Acids Res. 2020;48(D1):D845–D855.
68.
Wu T, Hu E, Xu S, Chen M, Guo P, Dai Z, Feng T, Zhou L, Tang W, Zhan L, et al.Yu, clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. Innovation. 2021;2(3):100141.
69.
Yu G, enrichplot: Visualization of functional enrichment result. 2021.
Year 2025 volume 8 Issue 7
PDF
55
30
Cite this Article
BibTeX
Article Info
doi: 10.34133/research.0754
  • Receive Date:2025-03-10
  • Online Date:2026-10-30
  • Published:2025-07-20
Article Data
Affiliations
History
  • Received:2025-03-10
  • Revised:2025-05-22
  • Accepted:2025-06-04
Funding
National Natural Science Foundation of China(82000404)
National Natural Science Foundation of China(32201128)
Natural Science Funds of Zhejiang Province, China(LQ21H020003)
Natural Science Funds of Zhejiang Province, China(ZCLY24H1801)
Zhejiang TCM Science and Technology Program(2025ZS021)
Zhejiang TCM Science and Technology Program(2025ZS022)
Affiliations
    1Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
    2Zhejiang Key Laboratory of Cardiovascular Intervention and Precision Medicine, Hangzhou, China.
    3Engineering Research Center for Cardiovascular Innovative Devices of Zhejiang Province, Hangzhou, China.
    4School of Basic Medical Sciences & Forensic Medicine, Hangzhou Medical College, Hangzhou, China.

Corresponding:

* Address correspondence to: (H.H.);
References
Share
https://castjournals.cast.org.cn/joweb/research/EN/10.34133/research.0754
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT