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Effects of hawthorn seed oil on plasma cholesterol and gut microbiota

Nutrition & Metabolism volume 19, Article number: 55 (2022) Cite this article

Abstract

Background

Hypercholesterolemia and gut microbiota dysbiosis are associated with the risk of cardiovascular diseases. Hawthorn fruits has shown to be cardioprotective and hypocholesterolemic. However, no studies to date have studied the biological activity of hawthorn seed oil (HSO). The present study was to investigate if HSO could favourably reduce plasma cholesterol and modulate gut microbiota in hypercholesterolemia hamsters.

Methods

Golden Syrian hamsters (age, 8 weeks) were randomly divided into five groups (n = 8, each) and fed one of the following five diets, namely a non-cholesterol diet, a high cholesterol diet containing 0.15% cholesterol (HCD); a HCD diet with addition of 4.75% HSO (LHSO), a HCD diet with addition of 9.5% HSO (HHSO), a HCD diet with addition of 0.50% cholestyramine as positive control diet. After 6-week dietary intervention, plasma lipids, inflammatory markers, atherosclerosis plaque, hepatic and fecal lipids were quantified. Microbiota in fresh feces were analysed by sequencing 16S rRNA genes, while RT-PCR and Western blot analyses were employed to quantify the expression of genes involved in cholesterol homeostasis.

Results

HSO at a dose of 9.5% HSO could decrease plasma cholesterol and non-HDL-cholesterol by 15%. Additionally, both HSO experimental groups also suppressed mRNA of 3-Hydroxy-3-Methylglutaryl-CoA Reductase (HMG-CoA-R). Supplementation of HSO at 4.75% could significantly increase the excretion of fecal acidic sterols, accompanied by elevation of short-chain fatty acid levels in feces. The analyses of gut microbiome indicated that HSO supplementation could selectively alter the genera abundance of gut bacteria that were correlated with cholesterol metabolism including unclassified_f__Christensenellaceae, Ruminococcaceae_NK4A214_ group, norank_o_Gastranaerophilales, Faecalibaculum, Peptococcus, norank_f__Clostridiales_vadinBB60_group and Ruminococcus_2.

Conclusions

HSO supplementation was able to decrease plasma cholesterol by favourably modulating gut microbiota composition and gut-derived metabolites associated with cholesterol regulation.

Graphical Abstract

Background

Hypercholesterolemia is one of the major risk factors contributing to the development of cardiovascular disease (CVD) [1,2,3,4,5]. Recent studies have found that gut microbiota dysbiosis and gut-derived adverse metabolites can contribute to the onset of CVD [6, 7]. Functional foods and supplements of nutraceuticals have shown to be effective in regulating plasma cholesterol levels [8,9,10]. In addition, the increasing evidence has demonstrated that macronutrients such as polyunsaturated fatty acids (PUFAs) can modulate the gut microbiota across various animal models [11,12,13].

Hawthorn (Crataegus spp.) is a member of the Rosaceae family that originates from Northern Asia, Europe and North America. Most studies regarding cardioprotective benefits of hawthorn have focused on its fruits, leaves, flowers and roots [14,15,16,17,18]. Extracts from different parts of hawthorn plant have been reported to possess anti-atherosclerotic activity and suppress the cholesterol synthesis [17, 19,20,21]. However, little is known about hawthorn seed oil (HSO) and its effects on plasma cholesterol and gut microbiota. The present study was therefore designed to investigate if hawthorn seed oil could favourably modulate cholesterol metabolism and gut microbiota in hypercholesterolemic hamsters.

Materials and methods

HSO and diet preparation

HSO was obtained from Xi’an Tuofeng Biotechnology Co., Ltd (Xi’an City, Shaanxi Province, China). Five diets were prepared based on AIN-93 diet as previously described with minor modification [22, 23]. First, a non-cholesterol diet (NCD) was formulated with the following components (g/kg diet): corn starch (484), casein (230), sucrose (113), lard (95), mineral mix (38), vitamin mix (19), gelatin (19), and DL-Methionine (1). A high cholesterol diet (HCD) was similarly prepared as NCD except 0.15% cholesterol (w/w) was added. A low HSO diet (LHSO) was prepared by substituting half the amount of lard (47.5 g) in HCD diet. A high HSO diet (HHSO) was prepared by complete replacement of lard (95 g) in HCD diet. Finally, a positive control diet (PCD) was prepared by adding 0.5% cholestyramine into HCD (Table 1). Cholestyramine is a medicine which can effectively reduce plasma cholesterol when administered at 0.5% dosage, as supported by previous studies [22, 24].

Table 1 Composition of five diets
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Animals and study design

Male 8-week-old Golden Syrian hamsters (Mesocricetus auratus) were randomly divided into five groups (n = 8 each) and fed one of five diets described above. All animals were kept under a regulated condition (12–12 h rotating light–dark cycle at 23 °C) with free access to tap water. Feeding was conducted for a period of 6 weeks, with weekly measurement of body weights and diet intake. Blood collection from the retro-orbital sinus under light anaesthesia was performed after overnight fasting at week 0 and week 6. Total fecal outputs from week 6 were collected followed by being freeze-dried and ground before storage in a − 80 °C freezer. Fresh fecal samples used for gut microbial analyses through 16S rRNA sequencing was collected under sterile environment as previously described [25]. At the end of week 6, hamsters were sacrificed using carbon dioxide as anaesthetic. Organs were collected and stored at − 80 °C. The entire experimental protocol was approved by the Animal Ethics Experimentation Committee, of The Chinese University of Hong Kong (Ref. No.: 21-169-MIS).

Fatty acid composition of HSO and lard

Fatty acids in HSO and lard were quantified using gas chromatography (GC), as previously described [11, 26]. Briefly, the fatty acid methyl esters (FAMEs) were firstly prepared and analysed on a HP Innowax capillary column (Agilent Technologies, Santa Clara, CA, USA) in Shimadzu Gas Chromatograph 2010 (Shimadzu, Kyoto, Japan). Individual fatty acid methyl esters were quantified according to the amount of internal standard heptadecanoic acid added into the sample.

Phytosterol analysis

Phytosterols in HSO were quantified using a gas chromatographic method as previously described [27]. In brief, HSO was firstly saponified, phytosterols were extracted and converted to their corresponding TMS derivatives followed by separation on a SAC™-5 capillary column (Supelco, Bellefonte, PA, USA) in Shimadzu GC-2010 (Shimadzu, Kyoto, Japan). Phytosterols were quantified according to the amount of internal standard (5α-cholestane) added into HSO prior to the analysis.

Plasma lipid analysis

Plasma total cholesterol (TC), triacylglycerols (TG) and high-density lipoprotein cholesterol (HDL-C) were quantified using respective commercial kits (Stanbio Laboratories, Boerne, Texas, USA). Non-HDL-C (nHDL-C) level was calculated as the value obtained after subtracting HDL-C from total plasma TC.

Measurement of atherosclerotic plaque area

The total atherosclerotic plaque are were quantified as previously described [28]. Aorta samples were firstly prepared by removing surrounding fat and tissues. Following dehydration with propan-2-ol, each aorta was stained with Oil Red O. The ImageJ software (NIH, LOCI, USA) was used to analyse the percentage of atherosclerotic plaques.

Liver cholesterol analysis

The total lipids from the liver sample were firstly extracted and saponified. The liver cholesterol was converted to its corresponding TMS derivative as previously stated [22, 28]. The cholesterol-TMS derivative was then analysed using a Shimadzu GC-2010 Chromatography fitted with a column SAC™-5 column (Supelco, Bellefonte, PA, USA). 5α-Cholestane was used as an internal standard for the quantification of cholesterol.

Liver lipid analysis

Total lipids in the form of total fatty acids were quantified as previously described [27]. In brief, total lipids were firstly extracted and converted to the corresponding FAMEs. Afterward, the individual FAMEs were separated and quantified in a Shimadzu GC-2010 fitted with a HP-Innowax capillary column (Agilent Technologies, Santa Clara, CA, USA); heptadecanoic acid was used as an internal standard.

Fecal neutral and acidic sterol analyses

Total and individual neutral and acidic sterols in feces were analysed as previously described [27]. In brief, the fecal samples were saponified and total neutral sterols were extracted into cyclohexane. Subsequently, diethyl ether was used to extract the total acidic sterols. Afterward, neutral and acidic sterols were converted to their corresponding TMS derivatives. A SAC™-5 capillary column (Supelco, Bellefonte, PA, USA) was used to separate and quantify the individual neutral and acidic sterols. 5α-cholestane was an internal standard for neutral sterols, and hyodeoxycholic acid was an internal standard for acidic sterols.

Short-chain fatty acid (SCFA) analysis

Fecal SCFAs were analysed using a Shimadzu GC-2010 equipped with a CP-FFAP CB capillary column (Agilent Technologies, CA, USA). Ethanol solution (50%) was used for consecutive sonication and extractions of SCFAs. 2-Ethylbutyric acid was used as the internal standard [29].

Plasma lipopolysaccharide (LPS) analysis

An LPS-specific commercial kit (Cusabio, Wuhan, China) was used to quantify the concentration of LPS in plasma using enzyme-linked immunosorbent assay technique. Accordingly, a standard curve was firstly constructed, the absorbance of plasma was measured, and LPS was calculated based on the standard curve.

Real-time PCR (RT-PCR) and western blot

The following genes related to cholesterol metabolism and absorption were measured at both transcriptional and translational levels: Hepatic LDL receptor (LDLR), Liver X receptor-alpha (LXRα), sterol regulatory element-binding protein 2 (SREBP2), cholesterol-7α-hydroxylase (CYP7A1), and 3-Hydroxy-3-Methylglutaryl-CoA Reductase (HMG-CoA-R). Targets for intestinal samples include: Acetyl-CoA Acetyltransferase 2 (ACAT2), Niemann-pick C1-Like 1 (NPC1L1), microsomal triacylglycerol transport protein (MTP), and ATP binding cassette subfamily G -5 (ABCG5) and -8 (ABCG8). As per previous method, cDNA was converted from extracted RNA for RT-PCR analysis [22]. Quantification of RT-PCR was conducted according to comparative-threshold method using StepOnePlus RT-PCR System to measure mRNA expression.

Western blotting was conducted for protein mass analysis accordingly [22]. In brief, sample preparation included extraction and concentration measurement using BCA Assay. Denatured proteins were separated according to molecular weight, using 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Polyvinylidene difluoride membrane containing transferred proteins are blocked by 3% bovine serum albumin in Tris-buffered saline with Tween-20 (TBST). Membranes are rotated overnight in specific primary antibodies at 4 °C. After binding with secondary antibodies and washing with TBST, the membranes are exposed to chemiluminescence using enhanced chemiluminescence (ECL) agents. β-Actin was chosen as a house-keeping gene for all normalization.

Gene sequencing of 16S ribosomal RNA

Microbiota in fresh feces were analysed by sequencing 16S rRNA genes. As described in previous procedures, V3-V4 section of the rRNA genes were targeted using Illumina MiSeq (San Diego, CA, USA) [29]. Clustering of operational taxonomic units (OTUs) were conducted at 97% similarity threshold, and taxonomy was obtained via Silva database. Rarefaction curves were constructed for α-diversity analysis of community—Sobs and Shannon index. Principal coordinates analysis (PCoA) was used to represent β-diversity. Threshold of 2.5 was selected to determine altered genera using linear discriminant analysis (LDA) Effect Size (LEfSe) analysis. Wilcoxon rank-sum test was selected for differentiating changes to genus abundance. Using Spearman’s correlation, the environmental parameters alongside genera changes were also analysed [29].

Statistical analysis

SPSS Statistics (SPSS Inc., v. 15.0) was used to analyse statistical significance (p < 0.05) between among the five groups. One-way analysis of variance (ANOVA) and least significant difference (LSD) post-hoc test was conducted. Values were presented as Mean ± Standard Deviation (SD). Statistical analysis on gut microbiota-related data were performed using bioinformatic platform of Majorbio ISanger Cloud (www.i-sanger.com).

Results

Fatty acid and phytosterol composition of HSO

HSO contained a high amount of PUFAs with linoleic acid (18:2n-6) accounting for 58.84% and α-linolenic acid (18:3n-3) accounting for 4.77%. HSO was also rich in monounsaturated fatty acid oleic acid (18:1n-9, 24.90%). Comparatively, lard was more abundant in saturated fatty acids namely palmitic acid (16:0) and stearic acid (18:0). HSO also contained 205 mg/100 g phytosterols in an order of β-sitosterol > stigmasterol > campesterol > Δ7-stigmastenol > stigmastanol, citrostadienol > Δ7-avenasterol > ergosterol (Table 2).

Table 2 Composition of fatty acids and phytosterols in hawthorn seed oil (HSO) and lard
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Food intake, body, and organ weights

During the 6-week feeding, no significant differences were observed in food intake and body weights among the five groups of hamsters. Relative organ weights of LHSO, HHSO and HCD were statistically comparable (Table 3).

Table 3 Daily food intake, changes in body weights, and relative organ weights in hamsters fed one of the five diets
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Effects of HSO on plasma lipid profile

Plasma TC, HDL-C, nHDL-C, and TG were similar among the five diet groups at week 0. After 6 weeks of feeding study, feeding HCD diet elevated TC concentration by 49% compared with that in NCD group. Feeding PCD diet suppressed HCD-induced increase of plasma TC by 35%. Feeding two experimental diets (LHSO and HHSO) reduced plasma TC significantly by 15–16% compared with HCD group. Additionally, two experimental diets could also lower nHDL-C level by 17–25%. Plasma TG in LHSO and HHSO groups showed a decreasing trend, however, they were not statistically different from HCD group (Table 4).

Table 4 Changes to plasma lipid profile in hamsters fed one of the five diets
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Effects of HSO on atherosclerotic plaque and plasma LPS

Feeding HCD diet led to a 166% increase in atherosclerotic plaque development, compared with NCD group. Feeding PCD diet significantly decreased atherosclerotic accumulation by 55%, while feeding two HSO diets also prevented HCD-induced atherosclerotic plaque area by 44–46% (Fig. 1). Feeding HCD diet elevated plasma LPS concentration by 260% compared with feeding NCD diet. Compared to HCD, PCD group had a 72.5% decrease in LPS concentration. Similarly, HSO experimental groups significantly decreased plasma LPS by 58–63% (Fig. 2).

Fig. 1
figure 1

Atherosclerotic plaque area in hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Data is expressed as mean ± S.D., where different letters in superscript indicate statistical difference, p < 0.05

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Fig. 2
figure 2

Changes in plasma lipopolysaccharide (LPS) concentration in hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Data is expressed as mean ± S.D., where different letters in superscript indicate statistical difference, p < 0.05

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Effects of HSO on liver lipid and cholesterol

Feeding HCD diet increased liver lipids significantly by 98.5% compared with feeding NCD group. Feeding PCD diet could prevent the liver lipid accumulation by 48%. Feeding LHSO did not significantly affect liver lipids, whereas feeding HHSO significantly lowered the lipid accumulation by 9% compared with HCD group (HCD, 49.3; LHSO, 46.5; HHSO, 44.9 mg/g liver) (Fig. 3). The two experimental diets had no effect on liver cholesterol (Fig. 4). However, compared with HCD, PCD diet significantly lowered hepatic cholesterol levels (HCD, 43.5; PCD, 5.2 mg/g liver).

Fig. 3
figure 3

Liver fatty acid changes in hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Data is expressed as mean ± S.D., where different letters in superscript indicate statistical difference, p < 0.05

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Fig. 4
figure 4

Changes in liver cholesterol accumulation in hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Data is expressed as mean ± S.D., where different letters in superscript indicate statistical difference, p < 0.05

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Effects of HSO on fecal acidic and neutral sterols

Coprostanol, coprostanone and dihydrocholesterol are the main microbial metabolites of unabsorbed cholesterol [25]. After 6 weeks of feeding, the output of total fecal neutral sterols was not affected in LHSO group, whereas HHSO decreased its excretion relative to HCD (HCD, 1.3; LHSO, 1.17; HHSO, 1.05 mg/hamster/day). Fecal acidic sterols include primary bile acids—chenodeoxycholic acid (CDCA) and cholic acid (CA), as well as secondary bile acids—lithocholic acid (LCA) and deoxycholic acid (DCA). At the end of diet intervention, HHSO increased total fecal acidic sterols by 15%, although it did not reach statistical significance. LHSO feeding, however, was able to promote the excretion of acidic sterols significantly by 102% (HCD, 2.31; HHSO, 2.65; LHSO, 4.66 mg/hamster/day). Similarly, PCD also elevated the amounts of acidic sterols in feces (Table 5).

Table 5 Daily excretion of fecal neutral and acidic sterol in hamsters fed one of the five diets
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Effects of HSO on fecal SCFAs

Acetic, propionic, butyric and valeric acids are the four SCFAs found in fecal samples. PCD diet increased total fecal SCFAs by 83.9% compared with HCD diet. LHSO could markedly promote the production of acetate (by 28.9%), butyrate (by 431.4%), propionate (by 131.8%) and total fecal SCFAs (by 67.72%) excretion, compared with HCD (Fig. 5). However, HHSO did not have any significant effect on production of fecal SCFAs.

Fig. 5
figure 5

Changes in propionic acid, acetic acid, butyric acid, valeric acid and total short-chain fatty acid in hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Data is expressed as mean ± S.D., where different letters in superscript indicate statistical difference, p < 0.05

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Effects of HSO on mRNA and protein abundance

Results from RT-PCR and western blotting indicated that HSO down-regulated mRNA expressions of SREBP2, HMG-CoA-R, LDLR and LXRα in the liver. However, protein quantity in the two HSO experimental diets were not significantly different from that of HCD. Feeding HSO did not alter the gene expression of CYP7A1, whereas PCD feeding up-regulated its expression relative to HCD (Fig. 6). Changes to the genes and protein abundance of the intestinal NPC1L1, ABCG5/8, MTP and ACAT2 were statistically insignificant across groups after feeding (Fig. 7).

Fig. 6
figure 6

mRNA and protein levels of 3-Hydroxy-3-Methylglutaryl-CoA Reductase (HMG-CoA-R), Sterol regulatory element-binding protein 2 (SREBP2), LDL receptor (LDLR), liver X receptor-alpha (LXRα) and cholesterol-7α-hydroxylase (CYP7A1) in liver of hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Data is expressed as mean ± S.D., where different letters in superscript indicate statistical difference, p < 0.05

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Fig. 7
figure 7

mRNA and protein levels of Niemann-Pick C1-Like 1 (NPC1L1), ATP Binding Cassette Subfamily G Member 5 and 8 (ABCG5/8), Acetyl-CoA Acetyltransferase 2 (ACAT2), and microsomal triacylglycerol transport protein (MTP) in intestine of hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Data is expressed as mean ± S.D., where different letters in superscript indicate statistical difference, p < 0.05

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Effects of HSO on gut microbiota diversity

Rarefaction curves were constructed to ensure sufficient sampling was chosen for analysis of alpha-diversity (Fig. 8). Using Shannon index to represent community diversity, and Sobs index for community richness, analyses on the OTU level indicated no significant changes to gut alpha-diversity between HSO groups and HCD (Fig. 8). Beta-diversity PCoA showed genus grouping of PCD was most different with HCD cluster (Fig. 9).

Fig. 8
figure 8

Rarefaction curves and alpha diversity index, representing community richness (Sobs) and diversity (Shannon) of hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD)

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Fig. 9
figure 9

Beta diversity analysis by unweighted UniFrac principle coordinate analysis (PCoA) plot on genus level in hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD)

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Effects of HSO on gut microbiota composition

At ≥ 2.5 threshold on LDA score, gut microbiota composition at genus level indicated that 30 main bacterial genus were significantly affected as a result of dietary treatments (Fig. 10). Represented by the community abundance heatmap, LHSO specifically decreased the following genera compared with HCD: unclassified_f__Christensenellaceae, Ruminococcaceae_NK4A214_group, and norank_o_Gastranaerophilales, while increasing abundance of Faecalibaculum, and Ruminococcus_2. Similarly, HHSO also decreased unclassified_f__Christensenellaceae and Ruminococcaceae_NK4A214_group, as well as Peptococcus. Supplementation of HHSO also increased norank_f__Clostridiales_vadinBB60_group and Ruminococcus_2. Supplementation of HSO at different doses could reverse HCD-induced changes to unclassified_f__Christensenellaceae and norank_o__Gastranaerophilales abundance (Fig. 11).

Fig. 10
figure 10

Linear discriminant analysis (LDA) Effect Size (LEfSe) of key genera changes at LDA threshold ≥ 2.5 in hamsters fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD)

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Fig. 11
figure 11

Relative abundance heatmap of 30 specific genera across diet groups. Hamsters were fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Red star represents genera whose abundance was changed by HCD and reversed by Hawthorn Seed Oil groups. Wilcoxon rank-sum test was applied to compute statistical significance, p < 0.05. Taxonomy information (phylum, family) is provided on the right

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Correlation analysis on microbial changes and selected parameters

Correlation between parameters related to cholesterol metabolism with bacterial genus alterations were conducted with Spearman’s correlation analysis. Unclassified_f__Christensenellaceae, Peptococcus and norank_o_Gastranaerophilales were found to be positively correlated with plasma TC and liver lipids. LPS in the blood were similarly correlated with unclassified_f__Christensenellaceae and norank_o_Gastranaerophilales. Total fecal SCFA amount were directly proportional with Ruminococcus_2 (including acetate, propionate, butyrate and valerate) as well as Faecalibaculum (with propionate, butyrate and valerate). Norank_o_Gastranaerophilales and Peptococcus, on the other hand, had an inverse relationship with propionate, butyrate, valerate and total SCFA. As a component of neutral sterols, coprostanone had a positive relationship with Ruminococcus_2 and a negative association with Ruminococcaceae_NK4A214_group and Peptococcus. Similarly, total neutral sterols were correlated negatively to Ruminococcaceae_NK4A214_group, and positively with Ruminococcus_2. Finally, total acidic sterols (including LCA, DCA, CDCA and CA), were found directly proportional with Ruminococcus_2 and Faecalibaculum (DCA, CDCA, and CA). Negative correlation was observed between acidic sterols with Ruminococcaceae_NK4A214_group and Peptococcus abundance (Fig. 12).

Fig. 12
figure 12

Spearman’s correlation heatmap between 30 specific genera and metabolites related to cholesterol metabolism and other key indices. Hamsters were fed one of the five diets: non-cholesterol diet (NCD); 0.15% cholesterol diet (HCD); hawthorn seed oil substituting 50% lard (LHSO); hawthorn seed oil substituting 100% lard (HHSO), and HCD with 0.5% cholestyramine (PCD). Correlation significance is indicated by asterisks (“*” by p < 0.05, “**” by p < 0.01, and “***” by p < 0.001). Taxonomy information (phylum, family) is provided on the right

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Discussion

The present study was the first time to study the effects of HSO on cholesterol metabolism. Results clearly demonstrated that HSO at two doses could reduce plasma TC significantly by 15–16% compared with that in HCD group (Table 4). The main source of cholesterol in the body is derived from de novo synthesis involving multiple steps: mevalonate production, isopentenyl phosphate production, squalene synthesis, lanosterol production, and finally, cholesterol formation [30, 31]. The rate-limiting step for cholesterol synthesis is governed largely by an enzyme HMG-CoA-R, a catalyst in mevalonate formation from HMG-CoA [32]. HMG-CoA-R gene is regulated by a transcription factor SREBP2 [33, 34]. The present study found that the hepatic gene expression of both HMG-CoA-R and SREBP2 in hamsters fed two HSO diets were significantly reduced. However, the protein masses of HMG-CoA-R and SREBP2 in two HSO diet groups were statistically not different from that of HCD hamsters.

HSO supplementation could generally increase the amount of fecal acidic sterols (Table 5). However, the present study found that the gene expression of CYP7A1, a rate-limiting enzyme for the conversion of bile acid in the liver, was not significantly affected by HSO supplementation (Fig. 6), suggesting that the increase in excretion of bile acids associated with HSO supplementation was unlikely mediated by hepatic up-regulation of CYP7A1. This led us to investigate if HSO could modulate the gut microbiota, which is another major factor to affect the bile acid excretion and plasma cholesterol [35,36,37]. Spearman’s correlation analysis of gut microbiota composition showed that bacterial genus Ruminococcus_2 and Faecalibaculum was positively correlated to bile acids, whereas Ruminococcaceae_NK4A214_group and Peptococcus were negatively correlated with bile acids (Fig. 12). Feeding LHSO diet could increase the presence of bile acid-producing Faecalibaculum and HHSO decreased Peptococcus abundance. Furthermore, feeding both HSO diets could increase Ruminococcus_2 and reduce Ruminococcaceae_NK4A214_group (Fig. 11). Changes in the abundance of these two genera by HSO supplementation could explain the elevation of fecal acidic sterols.

SCFAs are the products of gut microbial fermentation. Numerous studies have confirmed a strong association between SCFA production and the beneficial regulation of cholesterol, lipid and inflammation [38,39,40]. The present study found that the genera that are positively correlated with SCFA production were Ruminococcus_2 and Faecalibaculum, whereas that negatively correlated genera included norank_o_Gastranaerophilales and Peptococcus (Fig. 12). Feeding LHSO increased Faecalibaculum and reduced norank_o__Gastranaerophilales, whereas HHSO decreased Peptococcus. Both LHSO and HHSO diets could elevate SCFA-related Ruminococcus_2 abundance in the feces (Fig. 11). Similarly, previous studies also found that SCFA-producing Ruminococcus_2 abundance was selectively increased by dietary acarbose, a drug that can favourably affect serum lipid production [41,42,43]. Faecalibaculum is also classified as a SCFA-generating genera, particularly effective for producing butyric acid [39, 44,45,46]. Therefore, an increase in Faecalibaculum and Ruminococcus_2 in LHSO group could explain the increase of butyric acid production by 431% compared to HCD (Fig. 5). Studies have shown that SCFAs could also inhibit HMG-CoA-R activity, leading to a decreased cholesterol synthesis [40, 47,48,49]. It was therefore hypothesized that cholesterol-lowering activity associated with HSO supplementation could also be partially mediated by production of gut-derived SCFAs (Fig. 5).

SCFAs is capable of increasing fatty acid oxidation in the liver while it suppresses the fatty acid synthesis through activation of AMP-activated protein kinase (AMPK) pathway [40, 50]. Correlation analysis indicated that unclassified_f__Christensenellaceae, Peptococcus, and norank_o__Gastranaerophilales were positively linked with liver fatty acid accumulation (Fig. 12). Supplementation of both HSO diets could decrease unclassified_f__Christensenellaceae, LHSO further reduced norank_o__Gastranaerophilales, and HHSO additionally reduced abundance of Peptococcus as well (Fig. 11). Changes in abundance of these genera could lead to production of SCFAs and thus to a decrease in liver lipids in the HHSO group (Fig. 3).

Feeding two HSO diets could significantly reduce pro-inflammatory biomarker LPS in the plasma (Fig. 2). Feeding HCD diet led to an increased abundance of specific inflammatory bacteria, whereas feeding HSO diets could reduce these LPS-correlated genera: Unclassified_f__Christensenellaceae and norank_o__Gastranaerophilales (Fig. 11). LPS is gut-derived endotoxins that can enter circulation from leaky gut barriers and cause the chronic inflammation, atherosclerosis and CVD pathogenesis [38, 51, 52]. It has been known that SCFAs could mitigate the LPS-induced inflammation and protect the gut barrier integrity [39, 53, 54]. The present findings supported this inverse relationship between SCFAs and LPS. It was clear that the bacteria which showed a positive correlation with LPS were negatively correlation with SCFAs (Fig. 12).

The present study did not find a dose-dependent effect on plasma cholesterol and gut microbiota between LHSO and HHSO diets. These variations could be attributable to differences in a ratio of fatty acid composition between the diets of the two experimental groups. Numerous reports have suggested that dietary fatty acid composition plays an important role in regulating bacteria balance and other gut-derived processes [55,56,57]. In studies comparing the effects of lard and fish oil on abundance of gut bacteria Akkermansia, fat intake with different fatty acid composition yielded the conflicting results [58, 59]. Similarly, a previous study also found that hamsters fed an varying amount of plant seed oils affected gut microbiota and cholesterol metabolism differently [25]. In this connection, it deserves a further investigation why HSO at different intake levels could affect gut microbiota differentially.

Conclusions

The present study explored the effects of lesser-known HSO on blood cholesterol and gut microbiota. It was found that supplementation of HSO could decrease plasma total cholesterol and inflammation in diet-induced hypercholesterolemia hamsters. Such benefits were most likely mediated by favourably modulating gut microbiota and their metabolites (bile acids, SCFA and LPS). Further studies regarding the effects of different dietary fats and oils with different fatty acid compositions on blood cholesterol and gut microbiota will provide greater insights into the interaction among diets, gut microbiota and host cholesterol metabolism.

Availability of data and materials

All data generated or analysed during this study are included in this published article.

Abbreviations

CVD:

Cardiovascular disease

HSO:

Hawthorn seed oil

SCFA:

Short-chain fatty acid

PUFA:

Polyunsaturated fatty acid

SFA:

Saturated fatty acid

MUFA:

Monounsaturated fatty acid

GC:

Gas chromatography

FAMEs:

Fatty acid methyl esters

TC:

Total cholesterol

TG:

Triacylglycerol

HDL-C:

High-density lipoprotein cholesterol

nHDL-C:

Non-HDL-C

LPS:

Lipopolysaccharide

RT-PCR:

Real-time PCR

LDLR:

LDL receptor

LXRα:

Liver X receptor-alpha

SREBP2:

Sterol regulatory element-binding protein 2

HMG-CoA-R:

3-Hydroxy-3-methylglutaryl-CoA reductase

CYP7A1:

Cholesterol-7α-hydroxylase

ACAT2:

Acetyl-CoA acetyltransferase 2

NPC1L1:

Niemann-pick C1-like 1

MTP:

Microsomal triacylglycerol transport protein

ABCG5:

ATP binding cassette subfamily G-5

ABCG8:

ATP binding cassette subfamily G-8

BCA:

Bicinchoninic acid

SDS-PAGE:

Sodium dodecyl sulfate polyacrylamide gel electrophoresis

TBST:

Tris-buffered saline with Tween-20

ECL:

Enhanced chemiluminescence

OUT:

Operational taxonomic units

PCoA:

Principal coordinates analysis

LDA:

Linear discriminant analysis

LEfSe:

LDA effect size

ANOVA:

Analysis of variance

LSD:

Least significant difference

CDCA:

Chenodeoxycholic acid

CA:

Cholic acid

LCA:

Lithocholic acid

DCA:

Deoxycholic acid

References

  1. Gaziano T, Reddy KS, Paccaud F, Horton S, Chaturvedi V. Cardiovascular Disease. In: Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, et al., editors. Dis Control Priorities Dev Ctries [Internet]. 2nd ed. Washington (DC): World Bank; 2006 [cited 2019 Nov 5]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK11767/.

  2. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006;3:e442.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Bergheanu SC, Bodde MC, Jukema JW. Pathophysiology and treatment of atherosclerosis : Current view and future perspective on lipoprotein modification treatment. Neth Heart J Mon J Neth Soc Cardiol Neth Heart Found [Internet]. Neth Heart J.; 2017 [cited 2021 May 24];25. Available from: https://pubmed.ncbi.nlm.nih.gov/28194698/.

  4. Manjunath CN, Rawal JR, Irani PM, Madhu K. Atherogenic dyslipidemia. Indian J. Endocrinol Metab. 2013;17:969–76.

    CAS  Google Scholar 

  5. Kazemi T, Hajihosseini M, Moossavi M, Hemmati M, Ziaee M. Cardiovascular risk factors and atherogenic indices in an Iranian population: Birjand East of Iran. Clin Med Insights Cardiol. 2018;12:1–6.

    Article  Google Scholar 

  6. Sarafian MH, Ding NS, Holmes E, Hart A. Chapter 28—effect on the host metabolism. In: Floch MH, Ringel Y, Allan Walker W, editors. Microbiota gastrointestinal pathophysiology [Internet]. Boston: Academic Press; 2017 [cited 2021 May 24]. p. 249–53. Available from: https://www.sciencedirect.com/science/article/pii/B9780128040249000288.

  7. Tang WHW, Kitai T, Hazen SL. Gut microbiota in cardiovascular health and disease. Circ Res Am Heart Assoc. 2017;120:1183–96.

    CAS  Google Scholar 

  8. Chen Z-Y, Ma KY, Liang Y, Peng C, Zuo Y. Role and classification of cholesterol-lowering functional foods. J Funct Foods. 2011;3:61–9.

    Article  CAS  Google Scholar 

  9. Poli A, Barbagallo CM, Cicero AFG, Corsini A, Manzato E, Trimarco B, et al. Nutraceuticals and functional foods for the control of plasma cholesterol levels. An intersociety position paper. Pharmacol Res. 2018;134:51–60.

    Article  CAS  PubMed  Google Scholar 

  10. Ward N, Sahebkar A, Banach M, Watts G. Recent perspectives on the role of nutraceuticals as cholesterol-lowering agents. Curr Opin Lipidol. 2017;28:495–501.

    Article  CAS  PubMed  Google Scholar 

  11. Hao W, Zhu H, Chen J, Kwek E, He Z, Liu J, et al. Wild melon seed oil reduces plasma cholesterol and modulates gut microbiota in hypercholesterolemic hamsters. J Agric Food Chem. 2020;68:2071–81.

    Article  CAS  PubMed  Google Scholar 

  12. He Z, Hao W, Kwek E, Lei L, Liu J, Zhu H, et al. Fish oil is more potent than flaxseed oil in modulating gut microbiota and reducing trimethylamine-N-oxide-exacerbated atherogenesis. J Agric Food Chem. 2019;67:13635–47.

    Article  CAS  PubMed  Google Scholar 

  13. Huyben D, Roehe BK, Bekaert M, Ruyter B, Glencross B. Dietary Lipid:Protein Ratio and n-3 Long-Chain Polyunsaturated Fatty Acids Alters the Gut Microbiome of Atlantic Salmon Under Hypoxic and Normoxic Conditions. Front Microbiol [Internet]. Frontiers; 2020 [cited 2021 May 11];11. https://doi.org/10.3389/fmicb.2020.589898/full

  14. Özcan M, Hacıseferoğulları H, Marakoğlu T, Arslan D. Hawthorn (Crataegus spp.) fruit: some physical and chemical properties. J Food Eng. 2005;69:409–13.

    Article  Google Scholar 

  15. Bahorun T, Gressier B, Trotin F, Brunet C, Dine T, Luyckx M, et al. Oxygen species scavenging activity of phenolic extracts from hawthorn fresh plant organs and pharmaceutical preparations. Arzneimittelforschung. 1996;46:1086–9.

    CAS  PubMed  Google Scholar 

  16. Kéry A, Verzárné Petri G, Incze I. Comparative study of flavonoids form Crataegus oxyacantha L. and Crataegus monogyna Jacq. Acta Pharm Hung. 1977;47:11–23.

    PubMed  Google Scholar 

  17. Chang Q, Zuo Z, Harrison F, Chow MSS. Hawthorn. J Clin Pharmacol. 2002;42:605–12.

    Article  PubMed  Google Scholar 

  18. Rigelsky JM, Sweet BV. Hawthorn: pharmacology and therapeutic uses. Am J Health-Syst Pharm AJHP Off J Am Soc Health-Syst Pharm. 2002;59:417–22.

    Article  Google Scholar 

  19. Shanthi S, Parasakthy K, Deepalakshmi PD, Devaraj SN. Hypolipidemic activity of tincture of Crataegus in rats. Indian J Biochem Biophys. 1994;31:143–6.

    CAS  PubMed  Google Scholar 

  20. Shanthi R, Parasakthy K, Deepalakshmi PD, Niranjali DS. Protective effect of tincture of Crataegus on oxidative stress in experimental atherosclerosis in rats. J Clin Biochem Nutr. 1996;20:211–23.

    Article  CAS  Google Scholar 

  21. Chen JD, Wu YZ, Tao ZL, Chen ZM, Liu XP. Hawthorn (shan zha) drink and its lowering effect on blood lipid levels in humans and rats. World Rev Nutr Diet. 1995;77:147–54.

    Article  CAS  PubMed  Google Scholar 

  22. Zhu H, Chen J, He Z, Hao W, Liu J, Kwek E, et al. Soybean germ oil reduces blood cholesterol by inhibiting cholesterol absorption and enhancing bile acid excretion. Food Funct. 2019;10:1836–45.

    Article  CAS  PubMed  Google Scholar 

  23. Reeves PG. Components of the AIN-93 diets as improvements in the AIN-76A diet. J Nutr. 1997;127:838S-841S.

    Article  CAS  PubMed  Google Scholar 

  24. Wilson TA, Romano C, Liang J, Nicolosi RJ. The hypocholesterolemic and antiatherogenic effects of chiolazol H, a chemically functionalized insoluble fiber with bile acid sequestrand properties in hamsters. Metabolism. 1998;47:959–64.

    Article  CAS  PubMed  Google Scholar 

  25. Kwek E, Zhu H, Ding H, He Z, Hao W, Liu J, et al. Peony seed oil decreases plasma cholesterol and favorably modulates gut microbiota in hypercholesterolemic hamsters. Eur J Nutr [Internet]. 2022. https://doi.org/10.1007/s00394-021-02785-9

  26. Si W, Liang Y, Ma KY, Chung HY, Chen Z-Y. Antioxidant activity of capsaicinoid in canola oil. J Agric Food Chem. 2012;60:6230–4.

    Article  CAS  PubMed  Google Scholar 

  27. Lei L, Chen J, Liu Y, Wang L, Zhao G, Chen Z-Y. Dietary wheat bran oil is equally as effective as rice bran oil in reducing plasma cholesterol. J Agric Food Chem. 2018;66:2765–74.

    Article  CAS  PubMed  Google Scholar 

  28. He Z, Kwek E, Hao W, Zhu H, Liu J, Ma KY, et al. Hawthorn fruit extract reduced trimethylamine-N-oxide (TMAO)-exacerbated atherogenesis in mice via anti-inflammation and anti-oxidation. Nutr Metab. 2021;18:6.

    Article  CAS  Google Scholar 

  29. Liu J, Hao W, He Z, Kwek E, Zhao Y, Zhu H, et al. Beneficial effects of tea water extracts on the body weight and gut microbiota in C57BL/6J mice fed with a high-fat diet. Food Funct. 2019;10:2847–60.

    Article  CAS  PubMed  Google Scholar 

  30. Hegele RA. Plasma lipoproteins: genetic influences and clinical implications. Nat Rev Genet. 2009;10:109–21.

    Article  CAS  PubMed  Google Scholar 

  31. Kumari A. Chapter 7—cholesterol synthesis. In: Kumari A, editor. Sweet Biochem [Internet]. Academic Press; 2018 [cited 2021 May 17]. p. 27–31. Available from: https://www.sciencedirect.com/science/article/pii/B9780128144534000078.

  32. DeBose-Boyd RA. Feedback regulation of cholesterol synthesis: sterol-accelerated ubiquitination and degradation of HMG CoA reductase. Cell Res. 2008;18:609–21.

    Article  CAS  PubMed  Google Scholar 

  33. Horton JD, Goldstein JL, Brown MS. SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver. J Clin Invest. 2002;109:1125–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Eberlé D, Hegarty B, Bossard P, Ferré P, Foufelle F. SREBP transcription factors: master regulators of lipid homeostasis. Biochimie. 2004;86:839–48.

    Article  PubMed  CAS  Google Scholar 

  35. Kazemian N, Mahmoudi M, Halperin F, Wu JC, Pakpour S. Gut microbiota and cardiovascular disease: opportunities and challenges. Microbiome. 2020;8:36.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Joyce SA, MacSharry J, Casey PG, Kinsella M, Murphy EF, Shanahan F, et al. Regulation of host weight gain and lipid metabolism by bacterial bile acid modification in the gut. Proc Natl Acad Sci. 2014;111:7421.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Ryan PM, Stanton C, Caplice NM. Bile acids at the cross-roads of gut microbiome–host cardiometabolic interactions. Diabetol Metab Syndr. 2017;9:102.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Witkowski M, Weeks TL, Hazen SL. Gut microbiota and cardiovascular disease. Circ Res Am Heart Assoc. 2020;127:553–70.

    CAS  Google Scholar 

  39. Nogal A, Valdes AM, Menni C. The role of short-chain fatty acids in the interplay between gut microbiota and diet in cardio-metabolic health. Gut Microbes. 2021;13:1897212.

    Article  PubMed Central  CAS  Google Scholar 

  40. den Besten G, van Eunen K, Groen AK, Venema K, Reijngoud D-J, Bakker BM. The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. J Lipid Res. 2013;54:2325–40.

    Article  CAS  Google Scholar 

  41. Zhang M, Feng R, Yang M, Qian C, Wang Z, Liu W, et al. Effects of metformin, acarbose, and sitagliptin monotherapy on gut microbiota in Zucker diabetic fatty rats. BMJ Open Diabetes Res Care. 2019;7:e000717.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Malaguarnera M, Giugno I, Ruello P, Rizzo M, Motta M, Mazzoleni G. Acarbose is an effective adjunct to dietary therapy in the treatment of hypertriglyceridaemias. Br J Clin Pharmacol. 1999;48:605–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Walter-Sack IE, Wolfram G, Zöllner N. Effects of acarbose on serum lipoproteins in healthy individuals during prolonged administration of a fiber-free formula diet. Ann Nutr Metab. 1989;33:100–7.

    Article  CAS  PubMed  Google Scholar 

  44. Mao G, Li S, Orfila C, Shen X, Zhou S, Linhardt RJ, et al. Depolymerized RG-I-enriched pectin from citrus segment membranes modulates gut microbiota, increases SCFA production, and promotes the growth of Bifidobacterium spp., Lactobacillus spp. and Faecalibaculum spp. Food Funct. 2019;10:7828–43.

    Article  CAS  PubMed  Google Scholar 

  45. Zagato E, Pozzi C, Bertocchi A, Schioppa T, Saccheri F, Guglietta S, et al. Endogenous murine microbiota member Faecalibaculum rodentium and its human homologue protect from intestinal tumour growth. Nat Microbiol. 2020;5:511–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Hand TW, Vujkovic-Cvijin I, Ridaura VK, Belkaid Y. Linking the microbiota, chronic disease, and the immune system. Trends Endocrinol Metab. 2016;27:831–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Todesco T, Rao AV, Bosello O, Jenkins DJ. Propionate lowers blood glucose and alters lipid metabolism in healthy subjects. Am J Clin Nutr. 1991;54:860–5.

    Article  CAS  PubMed  Google Scholar 

  48. Fushimi T, Suruga K, Oshima Y, Fukiharu M, Tsukamoto Y, Goda T. Dietary acetic acid reduces serum cholesterol and triacylglycerols in rats fed a cholesterol-rich diet. Br J Nutr. 2006;95:916–24.

    Article  CAS  PubMed  Google Scholar 

  49. Hara H, Haga S, Aoyama Y, Kiriyama S. Short-chain fatty acids suppress cholesterol synthesis in rat liver and intestine. J Nutr. 1999;129:942–8.

    Article  CAS  PubMed  Google Scholar 

  50. Hu G-X, Chen G-R, Xu H, Ge R-S, Lin J. Activation of the AMP activated protein kinase by short-chain fatty acids is the main mechanism underlying the beneficial effect of a high fiber diet on the metabolic syndrome. Med Hypotheses. 2010;74:123–6.

    Article  CAS  PubMed  Google Scholar 

  51. Pastori D, Carnevale R, Nocella C, Novo M, Santulli M, Vittoria C, et al. Gut-derived serum lipopolysaccharide is associated with enhanced risk of major adverse cardiovascular events in atrial fibrillation: effect of adherence to mediterranean diet. J Am Heart Assoc. 2017;6:e005784.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Jonsson AL, Bäckhed F. Role of gut microbiota in atherosclerosis. Nat Rev Cardiol. 2017;14:79–87.

    Article  CAS  PubMed  Google Scholar 

  53. He J, Zhang P, Shen L, Niu L, Tan Y, Chen L, et al. Short-chain fatty acids and their association with signalling pathways in inflammation, glucose and lipid metabolism. Int J Mol Sci. 2020;21:6356.

    Article  CAS  PubMed Central  Google Scholar 

  54. Feng Y, Wang Y, Wang P, Huang Y, Wang F. Short-chain fatty acids manifest stimulative and protective effects on intestinal barrier function through the inhibition of NLRP3 inflammasome and autophagy. Cell Physiol Biochem. 2018;49:190–205.

    Article  CAS  PubMed  Google Scholar 

  55. Fava F, Gitau R, Griffin BA, Gibson GR, Tuohy KM, Lovegrove JA. The type and quantity of dietary fat and carbohydrate alter faecal microbiome and short-chain fatty acid excretion in a metabolic syndrome “at-risk” population. Int J Obes. 2005;2013(37):216–23.

    Google Scholar 

  56. Mani V, Hollis JH, Gabler NK. Dietary oil composition differentially modulates intestinal endotoxin transport and postprandial endotoxemia. Nutr Metab. 2013;10:6.

    Article  CAS  Google Scholar 

  57. Muralidharan J, Galiè S, Hernández-Alonso P, Bulló M, Salas-Salvadó J. Plant-based fat, dietary patterns rich in vegetable fat and gut microbiota modulation. Front Nutr [Internet]. Frontiers; 2019 [cited 2021 Apr 29];6. https://doi.org/10.3389/fnut.2019.00157/full

  58. Li H, Zhu Y, Zhao F, Song S, Li Y, Xu X, et al. Fish oil, lard and soybean oil differentially shape gut microbiota of middle-aged rats. Sci Rep. 2017;7:826.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Caesar R, Tremaroli V, Kovatcheva-Datchary P, Cani PD, Bäckhed F. Crosstalk between gut microbiota and dietary lipids aggravates WAT inflammation through TLR signaling. Cell Metab. 2015;22:658–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank Hong Kong Research Grants Council General Research Fund for supporting this research (Project Number 14102321 and 14105820).

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Authors and Affiliations

  1. School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Erika Kwek, Chi Yan, Huafang Ding, Wangjun Hao, Zouyan He, Jianhui Liu, Ka Ying Ma, Hanyue Zhu & Zhen-Yu Chen

  2. School of Public Health, Guangxi Medical University, Nanning, 530021, China

    Zouyan He

  3. College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing, 210023, China

    Jianhui Liu

  4. School of Food Science and Engineering / South China Food Safety Research Center, Foshan University, Foshan, Guangdong, China

    Hanyue Zhu

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  1. Erika Kwek
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Contributions

EK, ZC, and HZ participated in planning and design of the study. EK conducted experiments, collected and analysed data. CY, HD, WH, ZH, HZ, JL and KYM assisted in data acquisition. EK interpreted data and wrote the manuscript. ZC supervised the research and provided critical review of the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Hanyue Zhu or Zhen-Yu Chen.

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The experimental protocols were approved by the Animal Ethics Experimentation Committee of The Chinese University of Hong Kong (Reference Number: 21–169-MIS).

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Kwek, E., Yan, C., Ding, H. et al. Effects of hawthorn seed oil on plasma cholesterol and gut microbiota. Nutr Metab (Lond) 19, 55 (2022). https://doi.org/10.1186/s12986-022-00690-4

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Nutrition & Metabolism

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