Abstract graphic file with name eh3c00168_0007.jpg Epidemiology has associated fine particulate matter (PM[2.5]) exposure with an increased cardiovascular risk. However, the underlying mechanism, particularly from the liver perspective, remains unclear. Here, the influence of chronic PM[2.5] exposure on cardiovascular risk in mice fed a high-fat and high-cholesterol diet (HFCD) was studied by using a real-world PM[2.5] exposure system. Results showed that PM[2.5] exposure elevated the serum levels of nonhigh-density lipoprotein cholesterol (non-HDL-C) and oxidized low-density lipoprotein (oxLDL) in HFCD-fed mice, demonstrating increased cardiovascular risk. To investigate the molecular mechanism, lipidomics and metabolomics analyses were conducted and revealed that PM[2.5] exposure enhanced lipid accumulation and disturbed purine metabolism and glutathione metabolism in the liver of HFCD-fed mice, contributing to the elevated non-HDL-C levels and intensified oxidative stress. Moreover, PM[2.5] exposure increased total cholesterol levels by upregulating Hmgcr expression and downregulating Cyp7a1 expression in the livers of HFCD-fed mice. The HDL-C level was reduced by inhibiting the hepatic Abca1 and Abcg1 expression and decreasing the levels of ApoA-I and LCAT. Additionally, the PM[2.5]-induced pro-oxidative environment impeded the oxLDL clearance and further triggered inflammation, in turn exacerbating oxidative stress and oxLDL production. This study demonstrated a synergy of PM[2.5] and HFCD on cardiovascular risk and illuminated the molecular mechanism in PM[2.5]-susceptible populations. Keywords: PM[2.5], HFCD, Metabolomics, Lipidomics, Cardiovascular risk Introduction Ambient particulate matter (PM) pollution poses a substantial global public health threat and ranked as the fourth leading risk factor for death worldwide in 2019.^[42]1 Notably, fine PM with an aerodynamic diameter of less than 2.5 μm (PM[2.5]) was of particular concern due to its ability to directly infiltrate alveoli and the circulatory system. Epidemiological investigations have demonstrated a strong association between PM[2.5] exposure and the development of metabolic diseases.^[43]2−[44]4 Moreover, the excessive intake of fat and cholesterol was reported to be a primary risk factor for metabolic dysfunctions. It was noteworthy that metabolic dysfunctions lead to a cascade of health problems, ranging from obesity and diabetes to nonalcoholic fatty liver (NAFLD) and cardiovascular disease.^[45]5,[46]6 For example, short-term exposure to a high-fat and high-cholesterol diet (HFCD) triggered dyslipidemia, leading to serious liver damage in rats.^[47]7 A cohort study found the intake of HFCD increased cardiovascular risk and all-cause mortality in a dose–response manner.^[48]8 Therefore, PM[2.5] and HFCD may interact in the pathogenic process. PM[2.5] exposure was found to aggravate adverse effects on the cardiovascular system and spleen through disturbing energy metabolism and lipid metabolism in mice subjected to a high-fat diet.^[49]9,[50]10 Guan et al. observed systemic inflammation and vascular oxidative stress induced by PM[2.5] in mice on a high-cholesterol diet, exacerbating intracranial atherosclerosis.^[51]11 Besides, the liver is believed to be the primary organ in lipid and cholesterol metabolism as well as an essential player in detoxification. The related metabolic diseases in both parts, such as NAFLD and atherosclerosis, often co-occur and are associated with each other.^[52]12 For example, NAFLD may drive atherosclerotic cardiovascular disease via mixed hyperlipidemia and the hepatic secretion of procoagulant factors.^[53]12 However, studies assessing the association between hepatotoxicity and cardiovascular risk caused by the combination of PM[2.5] and HFCD are lacking. Metabolomics was an effective method to monitor the overall change of small molecule metabolites in response to external stimuli, which has recently been used to study the mechanisms of metabolic dysfunction.^[54]13,[55]14 As one significant branch, lipidomics is a powerful means for the revelation of lipid metabolite change.^[56]15 The combined application of metabolomics and lipidomics provides a comprehensive and systematic insight into the underlying metabolic mechanisms in organisms induced by exogenous substances in toxicity risk assessment. For example, a metabolism analysis of human lung fibroblasts demonstrated fine particulate matter exposure diminished mitochondria-related metabolites and exacerbated the accumulation of lysoglycerophospholipids, thus causing apoptosis and inflammatory response.^[57]16 In addition, the liver plays a critical role in maintaining metabolic homeostasis and even serves vascular function.^[58]17 However, PM[2.5]-induced hepatic responses of endogenous metabolites, especially in combination with HFCD, have not been sufficiently investigated. In this study, a real-ambient PM[2.5] exposure system was adopted because it could more realistically simulate human exposure scenarios than the traditional intratracheal instillation method.^[59]9,[60]10 The influence of ambient PM[2.5] on cardiovascular risk was investigated in the context of cross-organ communications by comparing normal mice and mice fed with HFCD. Biochemical analysis, metabolomics, and lipidomics were integrated to further elucidate the potential toxicity mechanisms. Methods and Materials Animal Experiments Due to the susceptibility of the females to PM[2.5]-induced perturbation of blood lipids and hepatic lipid metabolism,^[61]18,[62]19 female C57BL/6 mice aged 4 weeks were obtained from Beijing Vital River Laboratory Animal Technology Co., Ltd. (China) and housed in a standard animal house (24 ± 2 °C, 40–60% humidity, and 12 h light/dark cycle) located in Shanxi, China. The mouse experiments were compliant with the Animal Conservation and Use Committee of Shanxi University. After acclimatization for 1 week, the mice were weighed and randomly divided into four groups (n = 6 per group). Two groups were fed a normal diet (ND, 10% energy from fat) and exposed to either filtered air (FA) or PM[2.5] through a real-ambient PM[2.5] exposure system. This exposure system has two chambers, one fitted with a high-efficiency filter to deliver FA and the other allowing airborne particles to pass through to deliver PM[2.5].^[63]10 While the other two groups were fed an HFCD (34% energy from fat, 1.25% cholesterol, 0.5% cholic acid) and exposed to either FA or PM[2.5]. The diets were obtained from Trophic Animal Feed High-Tech Co., Ltd., China. The four groups of mice were designated as ND-FA, ND-PM[2.5], HFCD-FA, and HFCD-PM[2.5] accordingly. Mice were exposed for six months with water supplied ad libitum and then sacrificed with blood and liver collected. Serum samples were collected by centrifugation at 3000 rpm for 10 min. The liver and serum samples were immediately stored at −80 °C for further use. The average concentration of PM[2.5] was 64.1 ± 42.5 μg/m^3 during the entire exposure period, and the details are shown in [64]Figure S1. Measurements of Biochemistry Parameters in Serum and Liver Samples The levels of total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) in serum, and malondialdehyde (MDA) in the liver were determined by using assay kits (Jiancheng Bioengineering Institute, China). Nonhigh-density lipoprotein cholesterol (non-HDL-C) was quantified by subtracting HDL-C from total cholesterol. The serum levels of high-density lipoprotein (HDL), lecithin cholesterol acyltransferase (LCAT), oxidized low-density lipoprotein (oxLDL), high-sensitivity C-reactive protein (hs-CRP), and monocyte chemotactic protein 1 (MCP-1) and the levels of apolipoprotein A-I (apoA-I) and oxLDL in liver samples were measured using Elisa kits (Elabscience Biotechnology, China). All procedures were performed following the manufacturer’s protocols. The results of liver samples were normalized based on protein concentrations. Histopathology Analysis of Mouse Liver A portion of liver and aorta samples fixed in 4% paraformaldehyde was embedded in paraffin, sectioned at 5 μm thick, and then stained with hematoxylin and eosin (H&E). The remaining liver was frozen, cut at 5 μm, and stained with Oil Red O. The sections were observed using a microscope slide scanner (Axioscan 7, ZEISS), and lipid accumulation was quantified by ImageJ software. Sample Preparation for Metabolomics and Lipidomics Analysis For endogenous metabolite extraction, the liver (10 mg) or serum (50 μL) was homogenized with prechilled 80% methanol (400 μL). Following centrifugation, the supernatants were harvested, dried in an air vacuum, and then reconstituted with 100 μL of methanol/water (1:1, v/v) containing 4-chlorophenylalanine (1 μg/mL) as the internal standard. The quality control (QC) sample was generated by combining 40 μL of the solution with each sample. The lipid extraction procedure was conducted according to our previous study.^[65]7 Briefly, liver (10 mg) was homogenized in 750 μL of prechilled 80% methanol. Then, the solution was added with 450 μL of chloroform and 150 μL of water, shaken violently for 10 min, and left at room temperature for 10 min. After centrifugation, the lipid layer (bottom) was collected, vacuum-dried, and redissolved with triglyceride [TG (15:0/15:0/15:0)], sphingomyelin [SM (d18:1/12:0)], ceramide [Cer (d18:1/17:0)], phosphatidylcholine [PC (19:0/19:0)] and lysophosphatidylcholine [LPC (19:0)] as the internal standards for analysis. Instrumental Analysis Nontargeted metabolomics and lipidomics analysis was performed on ultrahigh-performance liquid chromatography (UHPLC), equipped with a QExactive Focus Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Scientific, U.S.A.). Metabolites were separated on an ACQUITY UPLC HSS T3 column (1.8 μm, 2.1 mm × 100 mm, Waters Corporation, U.S.A.), while the separation of lipids depended on an ACQUITY UPLC BEH C18 column (1.7 μm, 2.1 mm × 100 mm, Waters Corporation, U.S.A.). Details of the instrument conditions are provided in [66]Table S1 and [67]Table S2. Data Processing Data acquisition and preprocessing were conducted using Xcalibur v4.1 software (Thermo Fisher Scientific, Inc., U.S.A.). For the global metabolomics data, the XCMS package in the R language was used in chromatography peak detection and alignment. A data list was output containing mass-to-charge ratio (m/z), peak intensity, and retention time. For lipidomics data, the identification and alignment of lipids were conducted using LipidSearch (Thermo Fisher Scientific, Inc., U.S.A.). The metabolic features with relative standard deviation >30% in quality control samples and disturbed signals in blank samples were excluded to eliminate the potential interference. The peak intensities of the features were normalized by the internal standard method to remove instrumental deviation. The qualified data was analyzed with partial least-squares-discriminant analysis (PLS-DA) using MetaboAnalyst ([68]https://www.metaboanalyst.ca/). The differentiating metabolic features between groups were identified based on fold change (FC) > 1.2 (or <0.8), p < 0.05, and variable importance in the projection (VIP) score >1 in the PLS-DA model. Compound Discoverer software (Thermo Scientific) was employed to process the MS data for metabolite identification. The metabolite libraries used here included the mzCloud library, METLIN ([69]http://metlin.scripps.edu/), and Human Metabolome Database ([70]https://hmdb.ca/). The pivotal metabolites were subsequently validated by using commercial standards. Metabolic pathway analysis was carried out by MetaboAnalyst based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database. RNA Extraction and RT-qPCR Total RNA in liver samples was extracted with RNAiso plus (TaKaRa, Japan) and converted to cDNA using a PrimeScript RT Master Mix. The real-time qPCR was conducted using TB Green Premix Ex Taq (TaKaRa, Japan) on a Piko Real Real-Time PCR System (QIAquant, Germany). The primer sequences are shown in [71]Table S3. Each qPCR assay was performed in triplicate. Statistical Analysis Statistical analyses were conducted with SPSS version 17.0. The one-way ANOVA post hoc test using Tukey’s honestly significant difference test was used to determine the statistical differences between groups. A two-way ANOVA followed by Bonferroni correction was used to examine the primary effects of PM[2.5] exposure and HFCD, as well as their interaction (i.e., PM[2.5] × diet). The results were expressed as the mean ± standard deviation. Statistical significance was indicated by p < 0.05. Results and Discussion Increased Non-HDL and oxLDL Levels in Serum by PM[2.5] and HFCD To realistically simulate human exposure, the mice fed with an ND or HFCD were exposed to real-world PM[2.5] in Taiyuan, Shanxi, an area of moderate air pollution ([72]Figure S1), for six months. Two more groups of mice fed with the same diets, respectively, were housed in fresh air as control. PM[2.5] exposure led to slightly lower weight gain in the early stage of the experiment. With the extension of exposure to 4 and 6 months, the weight gain was significantly decreased in response to PM[2.5] exposure, especially in the mice grown with HFCD ([73]Figure [74]1 A). It was reported that a high level of PM[2.5] (198.52 μg/m^3) induced weight loss in 40 days.^[75]20 Our results suggested that the accumulated adverse effect of lower ambient PM[2.5] could cause chronic harmful outcomes in the long term. Of note is that HFCD did not enhance weight gain, presumably because cholic acid in HFCD elevated energy expenditure by activating thermogenesis.^[76]21 Figure 1. [77]Figure 1 [78]Open in a new tab Impacts of PM[2.5] and HFCD on physiological condition and the levels of cholesterol and oxLDL in mice (n = 6). (A) Body weight gain during exposure experiments, (B) serum cholesterol level, (C) serum oxLDL level, (D) serum hs-CRP level, (E) serum MCP-1 level, (F) liver/body weight ratio, (G) representative liver Oil Red O images, and (H) quantitative results of Oil Red O staining area. Letters indicate the results of the one-way ANOVA post hoc test at p < 0.05. Asterisks indicate the results of two-way ANOVA. *, p < 0.05; **, p < 0.01; ***, p < 0.001; and —, p ≥ 0.05. As shown in [79]Figure [80]1 B, HFCD induced significant increases (p < 0.001) in the concentration of serum total cholesterol, HDL-C, and LDL-C, compared with that in ND groups. The increased HDL-C is considered a defensive response to HFCD.^[81]22 It is worth noting that PM[2.5] exposure further increased the total cholesterol level but decreased the HDL-C level when comparing the two HFCD groups. Moreover, a synergistic interaction between PM[2.5] and HFCD significantly affected the total cholesterol and HDL-C (p < 0.01). Similarly in a recent study performed in a Chinese rural population, epidemiological data showed that a 1 μg/m^3 increment of PM[2.5] corresponded to a 0.10% (0.07–0.19%) increase in total cholesterol and a 0.49% (0.38%–0.60%) decrease in HDL-C.^[82]23 HDL-C has potentially cardiovascular-protective functions mainly due to HDL’s reverse cholesterol transport from the peripheral tissues to the liver.^[83]24 Moreover, previous studies observed strong negative correlations between serum HDL-C concentration and the risk for cardiovascular diseases.^[84]25,[85]26 The results suggested that PM[2.5] might exacerbate dyslipidemia and cardiovascular disease risk in HFCD-fed mice. Non-HDL-C and circulating oxLDL were considered potential biomarkers of cardiovascular disease.^[86]27,[87]28 Non-HDL-C represents all the proatherogenic apoB-containing lipoproteins such as intermediate-density lipoprotein, LDL, and VLDL.^[88]28 Given the alterations of total cholesterol and HDL-C, a significant increase (p < 0.01) was found in the serum level of non-HDL-C in the HFCD-PM[2.5] group compared to that in the HFCD-FA group, whereas that in the ND-FA and ND-PM[2.5] showed no difference ([89]Figure [90]1B). We then measured the serum levels of oxLDL in the four groups and observed the change trends as the same as those of non-HDL-C ([91]Figure [92]1C). OxLDL is produced by LDL accumulated in the vessel walls in the presence of excess reactive oxygen species (ROS). Subsequently, oxLDL was internalized by scavenger receptors on macrophages to form foam cells, promoting a prothrombotic state.^[93]29 Therefore, circulating oxLDL is involved in early stage atherosclerotic pathogenesis by stimulating the formation of macrophage-derived foam cells.^[94]27 Correspondingly, slight foam cell formation was observed in the aortic arch of some individuals from the HFCD-PM[2.5] group, suggesting a higher atherosclerotic risk in this group ([95]Figure S2). The elevated serum levels of non-HDL-C and oxLDL confirmed the PM[2.5]-caused adverse cardiovascular outcomes in mice fed with HFCD. Besides lipoprotein-related markers, inflammation biomarkers such as hs-CRP and MCP-1 were also often used for cardiovascular risk prediction.^[96]30 As shown in [97]Figure [98]1D, a significant increase (p < 0.05) was observed in the serum hs-CRP level in the HFCD-PM[2.5] group compared to that in the HFCD-FA group. The factorial analysis showed a synergistic effect between PM[2.5] and HFCD on non-HDL-C, oxLDL and hs-CRP (p < 0.05). The results further demonstrated the higher cardiovascular risk caused by PM[2.5] in HFCD-fed mice. The liver plays a pivotal role in the maintenance of cholesterol balance and the elimination of circulating oxLDL.^[99]31,[100]32 As observed, HFCD significantly increased the relative liver weight compared with ND feeding, which was consistent with previous studies.^[101]7 PM[2.5]-treated mice exhibited lower relative liver weight than those exposed to FA, despite the fat or cholesterol content of the diets ([102]Figure [103]1 F), which was similar to the changes in body weight ([104]Figure [105]1A). Together with the PM[2.5] effects on lipoproteins that were observed only upon the HFCD background ([106]Figure [107]1B and C), these results indicated that the liver was more vulnerable to PM[2.5] toxicity. Under our experimental conditions, PM[2.5] exposure might pose a markable threat to the cardiovascular system only when excessive fat and cholesterol were presented. Morphologically, H&E staining of liver sections presented macrovesicular steatosis and inflammatory cell infiltration in both HFCD groups, but not in the ND groups ([108]Figure S3). Oil Red O staining revealed that PM[2.5] exposure markedly increased intracytoplasmic lipid accumulation, which was synergistically enhanced in combination with HFCD (p < 0.05, [109]Figure [110]1G and H). Combined with the relative liver weight reduced by PM[2.5], the phenotypic results suggested that coexposure to PM[2.5] and HFCD may induce more severe liver damage such as lipid accumulation and inflammation, which may be responsible for the increased serum levels of non-HDL-C and oxLDL. To further study the underlying molecular mechanism of increased cardiovascular risk from the liver perspective, the abnormalities of liver endogenous metabolism were first investigated through lipidomics and metabolomics analysis. Effect of PM[2.5] and HFCD on Lipid Metabolism PLS-DA of the liver lipidomes showed a clear separation among groups, indicating that HFCD and PM[2.5] treatment induced significant perturbation of hepatic lipids ([111]Figure [112]2 A and B). Among the nine categories of the identified lipids, the abundance of seven displayed remarkable upregulation, including cholesteryl ester (ChE), triglyceride (TG), diacylglycerol (DG), phosphatidylglycerol (PG), sphingomyelin (SM), ceramide (Cer), and hexosylceramides (Hex1Cer) after HFCD treatment ([113]Figure [114]2C and [115]Figure S4). PM[2.5] exposure resulted in further increases in ChE, TG, SM, Cer, and Hex1Cer under the HFCD feeding conditions, exhibiting a synergistic interaction between these two factors (p < 0.05). Previous studies demonstrated that PM[2.5] disrupted lipid metabolism and induced lipid accumulation in mouse liver by influencing the expression of genes involved in lipid synthesis, transport, and lipolysis.^[116]10,[117]33 Consistent with the changes in lipoprotein metabolism in serum, the hepatic accumulation of ChE in both HFCD groups demonstrated a serious derangement of cholesterol homeostasis in response to the diet shift. Also, PM[2.5] exposure aggravated this imbalance in the HFCD-fed mice rather than the ND-fed ones. Similarly, Li et al. observed PM[2.5]-induced ChE accumulation in the liver of female mice in the lipidomics analysis.^[118]10 These alterations might cause oxidative damage to mitochondria and injure hepatocytes according to the early reports.^[119]34 As components of neutral lipids, TG was strongly associated with liver diseases such as NAFLD. The TG level in the liver was further verified by assay kits. Consistently, the TG accumulation was observed in response to HFCD and PM[2.5] exposure ([120]Figure S5). Yan et al. found that PM[2.5] exposure increased TG levels in mouse livers by decreasing hepatic lipid output.^[121]35 Besides, the excess TG could be synthesized into VLDL, an important component of non-HDL-C, to alleviate TG accumulation during NAFLD.^[122]35,[123]36 Therefore, the upregulation of TG induced by the cotreatment of HFCD and PM[2.5] was an important signal for cardiovascular disease risk and NAFLD. PG is a precursor of cardiolipin, a signature lipid of mitochondrial membranes in animals.^[124]37 The high abundance of the PG content suggested that HFCD and PM[2.5] treatments might disturb the optimal function of mitochondria. SM is a category of sphingolipid in cell membranes, capable of undergoing hydrolysis to produce Cer. A previous study in apolipoprotein E-knockout mice has reported that inhibition of SM biosynthesis led to decreased plasma cholesterol levels, increased HDL-C, and prevented atherosclerotic lesions.^[125]38 The increase of serum cholesterol in HFCD and PM[2.5] groups might be related to the accumulation of SM. Cers have multiple effects associated with metabolic dysfunction including apoptosis, fibrosis, oxidative stress, and disrupting mitochondrial bioenergetics. The inhibition of Cer biosynthesis in mice and rats attenuated the development of atherosclerotic plaque formation, hypertension, and heart failure.^[126]39 The accumulation of Hex1Cer in the liver was positively related to the risks of liver diseases, such as nonalcoholic steatohepatitis and chronic hepatitis C.^[127]40 Thereby the enhanced abundance of Hex1cer by HFCD and PM[2.5] might be a sign of liver diseases. Moreover, the elevated sphingolipids including Cer, SM, and Hex1Cer, promoted the proatherogenic effects of PM[2.5] by increasing the level of non-HDL-C.^[128]41 Collectively, HFCD treatment triggered a lipid metabolism perturbation in the liver, which was exacerbated upon PM[2.5] exposure. Figure 2. [129]Figure 2 [130]Open in a new tab Lipidomics analysis of the mouse liver (n = 6). PLS-DA plots in positive (A) and negative (B) ionization mode, and (C) changes in the overall abundance of lipid subclasses. Letters indicate the results of the one-way ANOVA post hoc test at p < 0.05. Asterisks indicate the results of two-way ANOVA. *, p < 0.05; **, p < 0.01; ***, p < 0.001; and —, p ≥ 0.05. Effect of PM[2.5] and HFCD on Metabolic Pathways A global nontarget metabolomics analysis was performed to profile the change of endogenous metabolites in response to HFCD or PM[2.5] exposure. From the liver samples, a total of 8512 and 7034 metabolite features were obtained in the positive and negative ionization modes, respectively. Similar to the results of lipidomics, the PLS-DA revealed distinct differences between all four groups ([131]Figure [132]3 A and B), suggesting that HFCD and PM[2.5] exposure conspicuously induced perturbations in the endogenous metabolomes. A total of 40 endogenous metabolites were identified as metabolic biomarkers based on tandem mass spectra, mainly including nucleosides, nucleotides, amino acids, and oligopeptides ([133]Table S4). Pathway enrichment analysis based on KEGG pathways showed that the biomarkers exhibited strong associations with the disruptions in purine metabolism and glutathione metabolism ([134]Figure [135]3C and D). Figure 3. [136]Figure 3 [137]Open in a new tab Effects of PM[2.5] and HFCD on the endogenous metabolome in the mouse liver (n = 6). PLS-DA plots in positive (A) and negative (B) ionization mode, (C) pathway analysis of endogenous metabolic biomarkers in the liver, (D) pathway of purine metabolism and GSH metabolism, (E, F) changes of metabolite biomarkers in the pathway of purine metabolism (E) and GSH metabolism (F) in response to HFCD and PM[2.5]. Compared with the ND-FA group, the up- and downregulated metabolites in HFCD-PM[2.5] are presented in purple and green, respectively. Letters indicate the results of the one-way ANOVA post hoc test at p < 0.05. Asterisks indicate the results of two-way ANOVA. *, p < 0.05; **, p < 0.01; **, p < 0.001; and —, p ≥ 0.05. As detailed in [138]Figure [139]3 E, the combined exposure of PM[2.5] and HFCD severely disrupts purine metabolism. Most of the metabolic biomarkers in this pathway were increased in the HFCD-PM[2.5] groups. The decrease of ATP and ADP upstream of purine metabolism may be attributed to the upregulation of the downstream metabolic pathways. Correspondingly, the elevated levels of AMP and adenosine were observed. Purine metabolism encompasses de novo synthesis, salvage pathways, and catabolism. The increased levels of hypoxanthine, xanthine, and uric acid in the HFCD-PM[2.5] groups suggested elevated purine catabolism. Hypoxanthine and xanthine were the sources of reactive oxygen species,^[140]42 and their increase indicated the possibility of higher oxidative stress. Uric acid, as an end product of purine metabolism, is considered a marker of oxidative stress.^[141]43 Herein, uric acid was significantly upregulated to 1.35-fold in HFCD-FA groups and 2.09-fold in HFCD-PM[2.5] groups, respectively, indicating a potential risk of oxidative stress in response to HFCD and PM[2.5]. Furthermore, a significantly synergistic interaction between PM[2.5] and HFCD existed in elevating uric acid levels (p < 0.05). The consistent increase in both hypoxanthine and xanthine caused by PM[2.5] exposure in the HFCD groups suggested that this pathway was upregulated and produced potential oxidative stress. Moreover, epidemiologic studies have reported a strong association between high uric acid and cardiovascular disease risk.^[142]44 The perturbations in purine metabolism might be one of the contributors. In addition, HFCD and PM[2.5] exposure disordered hepatic glutathione (GSH) metabolism in mice ([143]Figure [144]3 F). GSH is a physiological antioxidant deeply involved in maintaining cellular redox homeostasis. The pool of GSH was significantly shifted from the reduced form (GSH) to the oxidized form (GSSG) in response to HFCD exposure, especially coexposure with PM[2.5]. The elevation of pyroglutamate was also related to GSH depletion in the HFCD-PM[2.5] groups. Moreover, the ratio of GSH/GSSG, a critical redox couple, was dramatically decreased, indicating a potential disruption of intracellular redox balance. Glutamic acid not only is a main component for glutathione synthesis but also plays an important role in de novo purine synthesis.^[145]45 The significant increase in glutamic acid in response to HFCD and PM[2.5] exposure may contribute to the upregulation of purine metabolism. We also carried out a similar metabolomics comparison in the serum from the four groups ([146]Figure S6A and B). The altered metabolites were mainly enriched in the pentose phosphate pathway, glycerophospholipid metabolism, pentose and glucuronate interconversions, and purine metabolism after HFCD and PM[2.5] treatments ([147]Figure S6C). These results indicated the disorders in glucose and lipid metabolism that were caused by the cotreatment. Although it was only repeating the findings from the liver, the synergistic response to HFCD and PM[2.5] treatments was observed in the serum, evident with a decreased GSH/GSSG ratio (0.49 folds) and increased uric acid levels (2.29 folds) ([148]Figure S6D and E). These revealed that PM[2.5] triggered oxidative stress in the cotreated mice, which was consistent with the alterations found in the liver. As a major metabolic organ, this consistency suggested that the toxic changes in the liver contributed significantly to the alterations in the serum. It is worth noting that the serum level of homocysteine, a biomarker of cardiovascular disease, was significantly upregulated to 2.23-fold in HFCD-PM[2.5] groups ([149]Figure S6F), indicating the elevated cardiovascular risk in response to HFCD and PM[2.5] treatments. Effect of PM[2.5] and HFCD on Cholesterol Homeostasis The alterations found in lipidomics analysis indicated a disrupted cholesterol metabolism in the mouse liver. To examine the potential mechanistic links between these changes in liver metabolism and the increased serum cholesterol caused by PM[2.5] and HFCD, we assessed the expressions of genes involved in cholesterol biosynthesis, transport, and metabolism in the liver. The expression of 3-hydroxy-3-methylglutaryl-coenzyme A reductase (Hmgcr), the rate-limiting enzyme in cholesterol biosynthesis, was evidently suppressed (p < 0.01) to 0.23- and 0.38-fold in HFCD groups, whereas PM[2.5] exposure induced the upregulation of Hmgcr mRNA (p < 0.05, [150]Figure [151]4 A). In vivo studies have shown that the hepatic Hmgcr level was downregulated as feedback regulation of cholesterol biosynthesis to the high-fat and high-cholesterol diets;^[152]46,[153]47 thus, the elevated serum cholesterol levels may be primarily attributed to lymphatic absorption of dietary cholesterol. The PM[2.5]-caused upregulation of Hmgcr expression might further break the cholesterol homeostasis in the HFCD mice. Cytochrome P450 7A1 (Cyp7a1) was the first and the rate-limiting enzyme in bile acid synthesis, which facilitates cholesterol elimination.^[154]48 Obviously, HFCD significantly inhibited the expression of Cyp7a1 (0.55-fold), especially in the presence of PM[2.5] (0.16-fold, p < 0.01). This synergistic interaction (p < 0.05) indicated that coexposure to HFCD and PM[2.5] might inhibit the conversion of cholesterol into bile acids by downregulating Cyp7a1 expression, thereby enhancing the cholesterol accumulation in the liver. Ando et al. reported that HFCD may decrease Cyp7a1 mRNA levels in mouse liver via the FXR-mediated pathway.^[155]49 Both HFCD and PM[2.5] showed no significant effect on the gene expression of Abcg5 and Abcg8, the heterodimers encoded by which mediated the excretion of hepatocyte cholesterol into bile.^[156]50 The HFCD groups markedly downregulated the expression of LDL receptor (Ldlr) that transferred LDL-C from blood to the liver,^[157]51 while no significant difference was observed under PM[2.5] exposure. Besides, the total cholesterol levels in the liver were measured, and cholesterol accumulation was observed in the livers of the HFCD-PM[2.5] group ([158]Figure S7). These results revealed that in mice fed HFCD, PM[2.5] exposure might increase cholesterol production via elevating Hmgcr expression and decreasing its consumption by inhibiting Cyp7a1 expression in the liver, leading to a higher level of serum cholesterol. Figure 4. [159]Figure 4 [160]Open in a new tab Effect of PM[2.5] and HFCD on cholesterol homeostasis in the liver (n = 6). (A) Hepatic expression of genes involved in cholesterol synthesis and metabolism, (B) hepatic expression of genes involved in the HDL biosynthesis, (C) ApoA-I level in the liver, (D) LCAT levels in serum, and (E) HDL level in serum. Letters indicate the results of the one-way ANOVA post hoc test at p < 0.05. Asterisks indicate the results of two-way ANOVA. *, p < 0.05; **, p < 0.01; ***, p < 0.001; and —, p ≥ 0.05. HDLs are produced in the liver and are known to transport excess cholesterol in the vessel wall back to the liver for elimination, providing an atheroprotective effect.^[161]52 Therefore, the hepatic expressions of genes related to HDL synthesis were measured. ATP-binding cassette transporter A1 (Abca1) and ATP-binding cassette transporter G1 (Abcg1) promote cholesterol efflux from cells to nascent and mature HDL particles, respectively. Scavenger receptor class B type I (SR-B I, encoded by the Scarb1) as HDL receptor mediates the selective uptake of esterified cholesterol from mature HDL.^[162]53 It was reported that hepatic overexpression of Abca1 contributed to elevated HDL-C levels in plasma, while an opposite effect was observed for overexpression of SR-BI in Ldlr-deficient mice.^[163]54,[164]55 The absence of Abcg1 resulted in the decreased plasma concentration of HDL-C in mice fed a high-cholesterol diet.^[165]56 As expected, HFCD significantly stimulated the expression of Abca1 and Abcg1 by 1.85- and 3.98-fold, respectively, although no notable difference could be read in the expression of Scarb1 ([166]Figure [167]4 B). However, PM[2.5] decreased the mRNA levels of Abca1 and Abcg1 under the HFCD feeding conditions, indicating that PM[2.5] exposure might impede hepatic HDL synthesis through gene regulation. In addition, the mRNA levels of Abca1 and Abcg1 were synergistically modulated by HFCD and PM[2.5]. ApoA-I is the major apolipoprotein of nascent HDL and the most effective activator of LCAT. LCAT mediates the transformation of free cholesterol into cholesterol esters to form mature HDL particles.^[168]57 Similarly, the levels of ApoA-I and LCAT were increased in response to HFCD but decreased with PM[2.5] exposure (p < 0.05, [169]Figure [170]4 C and D). Also, similar alteration trends in the effects of HFCD and PM[2.5] were observed for serum concentrations of HDL particles ([171]Figure [172]4E). Taken together, it can be speculated that in response to HFCD intake, HDL synthesis was improved by upregulating Abca1 and Abcg1 expression and stimulating ApoA-I and LCAT synthesis. However, the superimposed effect of PM[2.5] disrupted this process and hindered HDL synthesis. The impaired production of HDL particles reduced its capacity for cholesterol removal, resulting in lower serum HDL-C. Combined with the increased cholesterol production, this might explain the increased levels of non-HDL-C in the presence of coexposure to HFCD and PM[2.5]. Oxidative Stress and Inflammatory Responses Induced by PM[2.5] and HFCD Based on the metabolomics analysis, it was hypothesized that the cotreatment of HFCD and PM[2.5] might lead to oxidative stress and a potentially pro-oxidative environment in mouse liver. The genes related to oxidative stress, including erythroid 2-related factor 2 (Nrf2), NAD(P)H quinone oxidoreductase-1 (Nqo-1), heme oxygenase-1 (Ho-1), and mitochondrial superoxide dismutase (Mnsod), were determined in the liver. During oxidative stress, the redox-sensitive transcription factor Nrf2 translocates into the nucleus, which in turn upregulates the expression of antioxidant defense genes (Ho-1, Mnsod) and phase II detoxification enzymes (NQO1).^[173]58 In our results, HFCD feeding significantly enhanced the expressions of Nrf2, Ho-1, and Nqo-1. In the HFCD-fed mice, PM[2.5] exposure not only exacerbated this trend but also demonstrated a pronounced synergistic interaction with HFCD ([174]Figure [175]5 A). These results suggested that the cotreatment of HFCD and PM[2.5] stimulated the antioxidant defense system as an adaptive response. In addition, MDA, the peroxidation product of polyunsaturated fatty acids, was a classical biomarker of oxidative stress.^[176]59 A significant (p < 0.01) elevation of hepatic MDA levels was observed in mice fed HFCD, especially in those exposed to both HFCD and PM[2.5] ([177]Figure [178]5B), confirming the more severe oxidative injury caused by PM[2.5] upon HFCD feeding. Similarly, Guan et al. observed that PM[2.5] exposure induced oxidative damage and upregulated the mRNA levels of Nrf2, Ho-1, and Nqo-1 in rats fed with a high-cholesterol diet.^[179]11 Collectively, the cotreatment of HFCD and PM[2.5] perturbed purine and GSH metabolisms, resulting in oxidative stress in mice liver. This pro-oxidation environment might cause higher oxidative stress in the circulation and oxidize more LDL, leading to increased oxLDL production.^[180]27 OxLDL is a major early product of lipid peroxidation, and the oxLDL in circulation is primarily cleared and metabolized by the liver.^[181]60 As shown in [182]Figure [183]5C, hepatic oxLDL levels were significantly (p < 0.01) enhanced by HFCD feeding, which was further increased when PM[2.5] treatment was combined. This trend was consistent with the serum oxLDL levels, indicating that the accumulation of oxLDL in the liver might be attributed to the serum alterations. Oxidation of LDL is a complicated process involving the oxidative changes of both proteins and lipids through enzymatic and nonenzymatic pathways, as well as the formation of complex products.^[184]27 OxLDL was a highly immunogenic molecule responsible for cellular GSH depletion.^[185]32 More oxLDL that went to the liver possibly contributed to the above metabolomics observation of the decreased GSH/GSSG ratio under the combined HFCD and PM[2.5] treatment, worsening the oxidative stress of the whole body. Additionally, cholesteryl esters from oxLDL were rapidly absorbed by Kupffer cells and delivered to the liver parenchymal cells, which in turn led to further cholesterol accumulation.^[186]60 The increased oxLDL level in HFCD and PM[2.5] groups was consistent with the variation of cholesteryl esters content observed in lipidomics analysis. Figure 5. [187]Figure 5 [188]Open in a new tab Effect of PM[2.5] and HFCD on oxidative stress and pro-inflammatory cytokines in the liver (n = 6). (A) Hepatic expression of genes associated with oxidative stress, (B) relative level of MDA in the liver, (C) oxLDL level in the liver, and (D) gene expression of pro-inflammatory cytokines in the liver. Letters indicate the results of the one-way ANOVA post hoc test at p < 0.05. Asterisks indicate the results of two-way ANOVA. *, p < 0.05; **, p < 0.01; ***, p < 0.001; and —, p ≥ 0.05. Oxidative stress and inflammation are causal and mutually reinforcing in various pathological states, forming a vicious cycle.^[189]61 Moreover, oxLDL is trapped in lysosomes and stimulates the generation of inflammatory cytokines in Kupffer cells.^[190]62 Therefore, the pro-inflammatory cytokines, including interleukin-6 (Il-6), interleukin-1β (Il-1β), and tumor necrosis factor α (Tnfα), were measured in mouse liver. HFCD upregulated mRNA expressions of Il-6, Il-1β and Tnfα, and a synergetic effect of PM[2.5] and HFCD was observed on the pro-inflammatory cytokines ([191]Figure [192]5 D), indicating PM[2.5] further exacerbated liver inflammation in mice fed with HFCD. The liver plays a key role in managing oxLDL, which, when accumulated, can trigger inflammation in liver cells.^[193]63 Excessive inflammatory cells may produce more ROS and reactive nitrogen species, which in turn lead to more severe oxidative stress at the inflammatory lesion.^[194]61 Production of oxLDL, along with increased oxidative stress and inflammation, tended to create harmful cycles that worsen each other. With PM[2.5] exposure, this situation was aggravated due to additional oxidative stress caused by PM[2.5] hepatotoxicity. Therefore, it seemed that these negative changes likely occurred simultaneously and intensified with each other. The altered redox status in the liver contributed to the oxidative modification of LDL, which then triggered the inflammatory response. Previous studies observed both oxidative damage and inflammatory response in the liver of mice exposed to PM[2.5] (20 mg/mL) using an intratracheal instillation method.^[195]32 Therefore, the liver inflammation exacerbated by PM[2.5] exposure might aggravate oxidative stress in both the liver and the serum of mice fed HFCD, which was responsible for the elevated serum oxLDL levels observed above. Conclusion This study explored the impacts and underlying mechanisms of PM[2.5] and HFCD on the cardiovascular risk in mice. PM[2.5] exposure elevated the serum levels of non-HDL-C and oxLDL, raising the cardiovascular risk in mice fed with HFCD. As summarized in [196]Figure [197]6 , PM[2.5] exposure increased the cholesterol level and decreased the HDL-C level in mice fed with HFCD by regulating the expression of related genes and proteins, such as Hmgcr and Cyp7a1. The perturbation of lipid metabolism observed by lipidomics analysis was also associated with the enhanced non-HDL-C level. In addition, the cotreatment of PM[2.5] and HFCD created a pro-oxidation environment in the liver, as evidenced by the disturbance of purine metabolism and glutathione metabolism. Oxidative stress combined with mutually reinforcing inflammation resulted in oxidative modification of LDL and the accumulation of oxLDL. Our results provided new insights into the interaction mechanisms between PM[2.5] exposure and cardiovascular risk in susceptible individuals consuming excess cholesterol and fat. It is crucial to enhance vigilance toward the cardiovascular risk among individuals with HFCD living in PM[2.5]-polluted areas. Figure 6. Figure 6 [198]Open in a new tab Proposed working model of interaction between more severe nonalcoholic steatohepatitis and increased cardiovascular risk caused by PM[2.5] exposure in mice fed with HFCD. Acknowledgments