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. 2024;20(6):27–33. doi: 10.48305/arya.2024.42635.2961

Effects of high intensity interval vs. low intensity continuous training on LXRβ, ABCG5 and ABCG8 genes expression in male wistar rats

Sediqeh Jalali 1
PMCID: PMC11913460  PMID: 40103624

Abstract

BACKGROUND:

Liver X receptors (LXR) play an essential role in the regulation of cholesterol metabolism, and their activation increases ABCG5 and ABCG8 gene expression for the improvement of cholesterol excretion from the body during reverse cholesterol transport (RCT). The aim of this study was to investigate the effects of high-intensity interval (HIT) and low-intensity continuous (LIT) trainings on gene expression of these substances after a high-fat diet in Wistar rats.

METHODS:

Fifteen male Wistar rats were divided into 3 groups: control group (n = 5), HIT exercise group (n = 5), and LIT exercise group (n = 5). All groups were fed a high-fat diet for 13 weeks, and the HIT and LIT groups performed the specific training program. The expression of LXRβ, ABCG5, and ABCG8 genes was measured after the training period.

RESULTS:

Data analysis showed significantly higher levels of LXRβ, ABCG5, and ABCG8 gene expression in the HIT and LIT groups compared to the control group (P ≤ 0.05).

CONCLUSION:

HIT and LIT trainings after a high-fat diet have beneficial effects on RCT, preventing heart attacks. Additionally, HIT training may have a greater effect on cholesterol excretion during the reverse cholesterol transport mechanism than LIT.

Key Words: Liver X Receptor, Atherosclerosis, Endurance Training, Exercise, Stroke

Introduction

Atherosclerosis caused by cholesterol deposition in coronary arteries is the leading cause of disability and mortality worldwide1, 2. High-density lipoprotein (HDL) is responsible for the transfer of excess cholesterol from the peripheral tissues to the liver during reverse cholesterol transport (RCT)3. Adenosine Triphosphate (ATP) Binding Cassette Transporters are involved in RCT, among which ABCA1 and ABCG1 are responsible for cholesterol transport in macrophages. Free cholesterol is also transmitted through ABCG5 and ABCG8 into the liver and intestine. The cardiovascular risk is higher in mice with mutations in the ABCG5 and ABCG8 genes4-7.

Liver X Receptors (LXR) are known as cholesterol sensors that are involved in the prevention of atherosclerosis through overexpression of RCT-related genes such as ABCA1, ABCG1, ABCG5, ABCG8, and a variety of apolipoproteins8. LXR receptors include alpha (LXRα or NR1H3) and beta (LXRβ or NR1H2) variants. LXRα is found mainly in the liver, small intestine, adipose tissue, kidney, adrenal glands, and macrophages; whereas LXRβ is found in all body tissues. They bind to a Retinoid X Receptor (RXR) to form a heterodimer. The LXR/RXR complex is activated by LXR and RXR agonists such as 22-hydroxycholesterol9-12.

The development of atherosclerotic plaque is a slow process that often takes decades. Because of the significant importance of cardiovascular disease, several studies have been conducted for a century to understand the molecular mechanisms involved in these diseases, and further research is needed. Since the activity of LXR receptors can stimulate the expression of ABCG5 and ABCG8 genes13, 14, the effect of Low Intensity Continuous Training (LIT) and High Intensity Interval Training (HIT) on the expression of LXRβ, ABCG5, and ABCG8 genes in male Wistar rats after a high-fat diet was investigated in this study. What is the hypothesis?

Materials and Methods

This study was approved by the Ethics Committee of the Institute of Sport Sciences under code IR.SSRI.REC.1395.115. The present study was conducted in two stages: the obesity phase and the exercise phase. After one week of adaptation to the new environment, all rats, with a mean age of 5-6 weeks and an initial weight of 128.32 g on a normal diet, were divided into 3 groups after 13 weeks of a high-fat diet. The study groups in the second phase (exercise) included the control group (n = 5), the HIT exercise group (n = 5), and the LIT exercise group (n = 5).

All rats were housed in a cage under controlled laboratory conditions (ambient temperature 22 ± 2 °C, light cycle at 12:12 h, and 50 ± 5 percent humidity with appropriate ventilation). The high-fat diet consisted of 40% fat, 13% protein, and 47% carbohydrate15. The maximum speed and aerobic power of the exercise rats were measured before the start of the main exercise program and after one week of training as a treadmill orientation phase aimed at more precise planning according to the standard protocol. After 10 to 20 minutes of warming up at 40% to 50% of maximal oxygen consumption (VO2max), the treadmill speed was increased by 0.03 m/s (2 m/min) every 2 minutes until the animals were exhausted. The criterion for achieving VO2max was reaching fatigue (achieving maximum speed).

After obtaining the mean maximal velocity in all rats in the exercise groups, 65% of the maximal velocity evaluated was considered the desired intensity in the LIT exercise group in the first week. The warm-up phase consisted of 3 minutes at 10 m/min followed by 2 minutes at 15 m/min, and after the main exercise in each group, rats performed a cooling protocol for 1 minute at 15 m/min and then for 2 minutes at 10 m/min. The LIT training protocol also started at 20 m/min for 15 minutes in the first week and gradually reached 25 m/min and 31 minutes at 12 weeks. No electrical shock or stimulation was used except for touching and rubbing the tail.

The HIT training protocol in the first week consisted of 7 × 1-minute attempts at 31 m/min and active rest (between each intense exercise), gradually progressing to 10 × 1-minute attempts at 55 m/min in the 12th week and active rest. The intensity was increased by an average of 2 m/min weekly. After 13 weeks of a high-fat diet (40%), the exercise protocol was started. Exercise was performed 5 days a week with 2 days rest between these 5 sessions for 12 weeks15.

The rats were anesthetized by intraperitoneal injection of a combination of ketamine (70 mg/kg) and xylazine (3–5 mg/kg) about 48 hours after the last training session; then, fasting blood samples were taken from the vena cava. Blood samples were collected in Falcon tubes and stored in the refrigerator. Blood samples were centrifuged at a speed of 3000 rpm for 15 min. Serum or plasma were separated and transferred to a freezer at a negative temperature of -70 °C for subsequent stages of the study (measuring the desired variables). Real-Time Polymerase Chain Reaction (rtPCR) technique was used to evaluate the expression of LXRβ, ABCG5, and ABCG8 genes after training15.

The data was entered into the software SPSS (IBM SPSS Statistics 25). Data were shown as mean ± standard deviation (SD). According to the results of the Shapiro-Wilk test, the distribution of LXRβ data was normal (P>0.05); so, a one-way ANOVA and LSD post-hoc tests were used to analyze the findings. According to the results of the Shapiro-Wilk test, the distribution of ABCG5 and ABCG8 data was not normal (P≤0.05) and therefore, nonparametric Kruskal-Wallis and Mann–Whitney U tests were used to compare groups. The significance level in all analyses was considered less than 0.05.

Results

The recorded data are presented in Table 1. One-way ANOVA test showed a significant difference between the mean values of LXRβ in the study groups (F = 10.254, P = 0.003); based on the LSD post-hoc test results, the mean values of LXRβ were higher in the HIT group compared to the control group (P = 0.001) and higher in the LIT group compared to the control group (P = 0.014). LXRβ values in the HIT training group were higher than in the LIT group, but there was no significant difference in the mean values of LXRβ between these groups (P = 0.14).

Table 1.

Comparison of the LXRβ, ABCG5 and ABCG8 Genes expression among the study groups

Groups ABCG5 (Normalized) ABCG8 (Normalized) LXRβ (Normalized)
Control group 99×10-5 ± 24×10-5 37×10-10 ± 11×10-10 378×10-6 ± 197×10-6
HIT group 79×10-4 ± 18×10-4 238×19-9 ± 74×10-9 2273×10-6 ± 866×10-6
LIT group 196×10-5 ± 21×10-5 49×10-10 ± 36×10-10 16×10-4 ± 7×10-4
P value1 0.008** 0.008** 0.001*
P value2 0.008** 0.841** 0.014*
P value3 0.008** 0.008** 0.14*

1: The level of significance resulting from the comparison of two control and HIT groups

2: The significance level resulting from the comparison of two control and LIT groups

3: The level of significance resulting from the comparison of LIT and HIT groups

* P-value based on LSD test, ** P-value based on Mann Whitney U Test

Analysis of data for ABCG5 showed that the mean values of this variable were significantly different between the three groups (P ≤ 0.05), with the highest gene expression in the HIT group and the lowest in the control group. For ABCG8, gene expression was higher in the HIT group than in the LIT group (P = 0.008) and higher in the HIT group than in the control group (P = 0.008); however, the difference in gene expression between the LIT and control groups was not significant (P = 0.841).

Discussion

Main findings of this study were significant elevation of ABCG5, ABCG8, and LXRβ gene expression after training, with the highest levels in the HIT group and the lowest in the control group. The discussion of these findings, along with our hypothesis and existing literature, is presented below.

LXRβ

Analysis of the results showed that the mean values of LXRβ gene expression were higher (i) in the HIT group than in the LIT group and (ii) in the LIT group than in the control group (Figure 1). This finding was similar to the findings of Baranowski et al. (2011)16, Hajighasem et al. (2018)17, and Parsa et al. (2021)¹⁸, but not similar to those of Cote et al. (2013)¹⁹, Ghanbari-Niaki et al. (2015)²⁰, and Sahin et al. (2018)²¹. One reason for the discrepancy between the findings of this study and those of Sahin et al. (2018)²¹, Cote et al. (2013)¹⁹, and Ghanbari-Niaki et al. (2015)²⁰ was the exercise duration. In this study, the training duration was 12 weeks, while in the aforementioned research, the training durations were only 8 weeks, 7 weeks, and 8 weeks, respectively19-21.

Figure 1.

Figure 1

Levels of Gene Expression of ABCG5, ABCG8 and LXRβ in all Groups After Trainings

LXRβ gene expression is affected by various stimuli. Cholesterol conversion to oxysterol due to the action of Sterol 27-Hydroxylase (CYP27A1), improved insulin sensitivity, increased vitamin A derivatives, increased activation of CCAAT/Enhancer-Binding Proteins (CEBP), increased Cyclic Adenosine Monophosphate (cAMP) mechanisms, increased Tumor Necrosis Factor Alpha (TNFα), and activation of Nuclear Factor Kappa-Light-Chain-Enhancer of Activated B Cells (NF-κB) are the driving factors of LXRβ gene expression22-28. LIT exercise increases oxLDL, which is a PPARγ activator. PPARγ also enhances LXR activity, which directly stimulates ABCA1, ABCG1, ABCG5, and ABCG8 gene expression and is effective in RCT29.

ABCG5 and ABCG8

Results showed that ABCG5 and ABCG8 gene expression after HIT training was significantly higher than after LIT (Figure 1). The findings for ABCG5 were consistent with those of Cote et al. (2013)¹⁹, Sadeghi Fazel et al. (2022)³⁰, Bagheri et al. (2020)³¹, and Ghanbari-Niaki et al. (2013 and 2014)32, 33, but inconsistent with the findings of Meissner et al. (2010)³⁴ and Ngo Sock et al. (2014)³⁵. For ABCG8, the results of this study contrast with those of Ghanbari-Niaki et al. (2012)³⁴ and are consistent with the results of Meissner et al. (2010)³⁵, Ngo Sock et al. (2014)³⁶, and Cote et al. (2013)²¹. The type of intervention, gender, intensity, and duration of the exercise are possible reasons for the inconclusive results of these studies. For example, in the research by Meissner et al. (2010)³⁵ and Ngo Sock et al. (2014)³⁶, different methodologies were used compared to the present study, and a high-fat diet was not given to the subjects. Additionally, in the study by Cote et al. (2013)²¹, similar to the present study, subjects consumed high-fat diets, and the results were consistent with the findings of this study. This illustrates the importance of diet, especially high-fat diet, in cholesterol metabolism and the RCT process.

The main mechanism involved in the expression of ABCG5 and ABCG8 genes is LXR activity³⁷. Regulation of ABCG5 and ABCG8 gene expression is not only a function of LXR but also involves factors such as Hepatocyte Nuclear Factor 4 Alpha (HNF4α), GATA Binding Protein 4 (GATA4), and Liver Receptor Homolog-1 (LRH1), which together increase ABCG5 and ABCG8 gene expression38. Improvement in lipid profile and increased expression of ABCG5 and ABCG8 genes in this study may also be due to the reduction of inflammatory processes and factors such as C-Reactive Protein (CRP), Interleukin-6 (IL6), and Tumor Necrosis Factor-Alpha (TNFα)39.

Orphan Nuclear Receptor Liver Receptor Homolog-1 (LRH1), also known as Cyp7a1 Promoter Factor (CPF) and Alpha-Fetoprotein Transcription Factor (αFTF), is a transcription factor that directly activates both ABCG5 and ABCG8 genes. It binds to position 134-142 in the ABCG5 / ABCG8 intergenic region, and mutation at this site substantially reduces the activity of ABCG5 and ABCG8 promoters. LRH1 also directly stimulates LXR activity40.

Another mechanism associated with increased ABCG5 and ABCG8 gene expression in subjects may be a reduction in inflammation from exercise training, as inflammation can be a potential source of HDL and RCT suppression. During HDL inflammation, HDL undergoes several structural changes that make it an acute phase HDL, relatively rich in fatty acids, triglycerides, serum amyloid A, and apolipoprotein AIV, while cholesterol esters and anti-inflammatory enzymes such as Paraoxonase-1 decrease. In addition, inflammation induces myeloperoxidase secretion, which modifies Apo A1 and impairs its ability to accept cholesterol. Inflammation eventually negatively affects the expression of genes involved in the consumption, secretion, and excretion of cholesterol in the liver (such as ABCG5 and ABCG8)34.

On the other hand, improving the lipid profile, especially HDL-suppressing inflammation itself, will eventually increase ABCG5 and ABCG8 gene expression. The precise mechanism is that increased HDL as well as increased cholesterol withdrawal from the cell negatively affect the quasi-transcriptional and CD14 receptors and signaling cascades that stimulate NFkB and MAPK to produce inflammatory cytokines and thus reduce the rate of inflammation, which could ultimately have a positive effect on the increased expression of ABCG5 and ABCG841. Additionally, interferon-gamma, a pre-atherogenic inflammatory substance, can suppress the expression of ABCG5 and ABCG8 genes. This decrease in inflammation following exercise training in this study may have been involved in the increased expression of ABCG5 and ABCG842.

Conclusion

Overall, the findings of this study showed that 12 weeks of HIT training increased the expression of the LXRβ, ABCG5, and ABCG8 genes in male Wistar rats, while LIT training only resulted in increased expression of the LXRβ and ABCG5 genes. This suggests that exercise training may have a greater effect on ABCG5 gene expression than on ABCG8, and that HIT training may have a more significant impact on cholesterol excretion during the reverse cholesterol transport mechanism than LIT.

Acknowledgments

We would like to thank the Martyr Mirghani Fundamental Research Center for Sport and Molecular Medicine, especially Dr. Seyed Javad Mirghani, for his contribution to the laboratory work on this research project.

Conflict of interests

The authors declare no conflict of interest.

Funding

There is no funding in this study.

Author’s Contributions

SJ: Scientific help about biology of atherosclerosis, ABCG5, ABCG8 and LXR; Laboratory analysis: Article writing; Training Protocol.

References

  • 1.Alradwan I, Al Fayez N, Alomary MN, Alshehri AA, Aodah AH, Almughem FA, et al. Emerging Trends and Innovations in the Treatment and Diagnosis of Atherosclerosis and Cardiovascular Disease: A Comprehensive Review towards Healthier Aging. Pharmaceutics. 2024 Aug 3;16(8):1037. doi: 10.3390/pharmaceutics16081037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kumarapperuma H, Chia ZJ, Malapitan SM, Wight TN, Little PJ, Kamato D. Response to retention hypothesis as a source of targets for arterial wall-directed therapies to prevent atherosclerosis: A critical review. Atherosclerosis. 2024 Oct;397:118552. doi: 10.1016/j.atherosclerosis.2024.118552. [DOI] [PubMed] [Google Scholar]
  • 3.Schaltenberg N, John C, Heine M, Haumann F, Rinninger F, Scheja L, et al. Endothelial Lipase Is Involved in Cold-Induced High-Density Lipoprotein Turnover and Reverse Cholesterol Transport in Mice. Front Cardiovasc Med. 2021 Mar 5;8:628235. doi: 10.3389/fcvm.2021.628235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Xie J, Peng L, Wang T, Yang C, Chen N, Feng X, et al. QiShenYiQi pill inhibits atherosclerosis by promoting reverse cholesterol transport PPARγ-LXRα/β-ABCA1 pathway. J Ethnopharmacol. 2023 Oct 28;315:116684. doi: 10.1016/j.jep.2023.116684. [DOI] [PubMed] [Google Scholar]
  • 5.Xu D, Li Y, Yang F, Sun CR, Pan J, Wang L, et al. Structure and transport mechanism of the human cholesterol transporter ABCG1. Cell Rep. 2022 Jan 25;38(4):110298. doi: 10.1016/j.celrep.2022.110298. [DOI] [PubMed] [Google Scholar]
  • 6.Kojima N, Tada H, Nomura A, Usui S, Sakata K, Hayashi K, et al. Putative Pathogenic Variants of ABCG5 and ABCG8 of Sitosterolemia in Patients With Hyper-Low-Density Lipoprotein Cholesterolemia. J Lipid Atheroscler. 2024 Jan;13(1):53. doi: 10.12997/jla.2024.13.1.53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Halmos B, La Rose AM, Groenen AG, Nakladal D, Bazioti V, Koster MH, Kloosterhuis NJ, et al. Deficiency of Abca1 and Abcg1 mediated cholesterol efflux pathways in smooth muscle cells enhances vasoconstriction but does not affect atherosclerosis. Cardiovasc Res. 2024;120(Supplement_1):cvae088–152. [Google Scholar]
  • 8.Yang TM, Miao M, Yu WQ, Wang X, Xia FJ, Li YJ, et al. Targeting macrophages in atherosclerosis using nanocarriers loaded with liver X receptor agonists: A narrow review. Front Mol Biosci. 2023 Mar 2;10:1147699. doi: 10.3389/fmolb.2023.1147699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Russo-Savage L, Schulman IG. Liver X receptors and liver physiology. Biochim Biophys Acta Mol Basis Dis. 2021 Jun 1;1867(6):166121. doi: 10.1016/j.bbadis.2021.166121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bilotta MT, Petillo S, Santoni A, Cippitelli M. Liver X Receptors: Regulators of Cholesterol Metabolism, Inflammation, Autoimmunity, and Cancer. Front Immunol. 2020 Nov 3;11:584303. doi: 10.3389/fimmu.2020.584303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Domínguez-Avila JA. Dietary Phenolic Compounds Exert Some of Their Health-Promoting Bioactivities by Targeting Liver X Receptor (LXR) and Retinoid X Receptor (RXR) Foods. 2023 Nov 22;12(23):4205. doi: 10.3390/foods12234205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Na Y, Ke L, Jie Z, Jinping W, Tao M, Jie Z, et al. Amelioration of Cholesterol Rich diet-induced Impaired Cognition in AD Transgenic Mice by an LXR Agonist TO901317 Is Associated with the Activation of the LXR-β-RXR-α-ABCA1 Transmembrane Transport System and Improving the Composition of Lipid Raft. Exp Aging Res. 2023 May-Jun;49(3):214. doi: 10.1080/0361073X.2022.2095605. [DOI] [PubMed] [Google Scholar]
  • 13.Srivastava RAK, Cefalu AB, Srivastava NS, Averna M. NPC1L1 and ABCG5/8 induction explain synergistic fecal cholesterol excretion in ob/ob mice co-treated with PPAR-α and LXR agonists. Mol Cell Biochem. 2020 Oct;473(1-2):247. doi: 10.1007/s11010-020-03826-3. [DOI] [PubMed] [Google Scholar]
  • 14.Ramalingam PS, Elangovan S, Mekala JR, Arumugam S. Liver X Receptors (LXRs) in cancer-an Eagle’s view on molecular insights and therapeutic opportunities. Front Cell Dev Biol. 2024 Mar 14;12:1386102. doi: 10.3389/fcell.2024.1386102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Mirghani SJ, Peeri M, Yaghoobpour Yekani O, Zamani M, Feizolahi F, Nikbin S, et al. Role or Synergistic Interaction of Adenosine and Vitamin D3 Alongside High-Intensity Interval Training and Isocaloric Moderate Intensity Training on Metabolic Parameters: Protocol for an Experimental Study. JMIR Res Protoc. 2019 Jan 30;8(1):e10753. doi: 10.2196/10753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Baranowski M, Zabielski P, Błachnio-Zabielska AU, Harasiuk D, Górski J. LXR activation prevents exhaustive exercise-induced hypoglycaemia and spares muscle glycogen but does not enhance running endurance in untrained rats. Acta Physiol (Oxf) 2011 ;201(3):373–9. doi: 10.1111/j.1748-1716.2010.02199.x. [DOI] [PubMed] [Google Scholar]
  • 17.Hajighasem A, Farzanegi P, Mazaheri Z, Naghizadeh M, Salehi G. Effects of resveratrol, exercises and their combination on Farnesoid X receptor, Liver X receptor and Sirtuin 1 gene expression and apoptosis in the liver of elderly rats with nonalcoholic fatty liver. PeerJ. 2018 Sep 10;6:e5522. doi: 10.7717/peerj.5522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Parsa H, Hasanvand BA, Mehrialvar Y, Zirrahiyan F. Evaluation of Changes in Liver X Receptor Gene Expression Following Exercise and Myocardial Ischemia: A Shourt Report. J Rafsanjan Univ Med Sci. 2021;20(2):243. [Google Scholar]
  • 19.Côté I, Ngo Sock ET, Lévy É, Lavoie JM. An atherogenic diet decreases liver FXR gene expression and causes severe hepatic steatosis and hepatic cholesterol accumulation: effect of endurance training. Eur J Nutr. 2013 Aug;52(5):1523. doi: 10.1007/s00394-012-0459-5. [DOI] [PubMed] [Google Scholar]
  • 20.Ghanbari-Niaki A, Abarghooi SG, Gholizadeh M. Heart ATP-Binding Cassette Protein A1 and G1, Peroxisome Proliferator Activated Receptor-α and Liver X Receptors Genes Expression in Response to Intensive Treadmill Running and Red Crataegus pentaegyna (Sorkh valik) in Male Rats. Zahedan J Res Med Sci. 2015;17(5):964. [Google Scholar]
  • 21.Sahin K, Orhan C, Tuzcu M, Sahin N, Erten F, Juturu V. Capsaicinoids improve consequences of physical activity. Toxicol Rep. 2018 May 15;5:598–607. doi: 10.1016/j.toxrep.2018.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Desvergne B, Michalik L, Wahli W. Transcriptional regulation of metabolism. Physiol Rev. 2006 Apr;86(2):465. doi: 10.1152/physrev.00025.2005. [DOI] [PubMed] [Google Scholar]
  • 23.Chen G, Liang G, Ou J, Goldstein JL, Brown MS. Central role for liver X receptor in insulin-mediated activation of Srebp-1c transcription and stimulation of fatty acid synthesis in liver. Proc Natl Acad Sci U S A. 2004 Aug 3;101(31):11245. doi: 10.1073/pnas.0404297101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.N Nagy L, Szanto A, Szatmari I, Széles L. Nuclear hormone receptors enable macrophages and dendritic cells to sense their lipid environment and shape their immune response. Physiol Rev. 2012 Apr;92(2):739. doi: 10.1152/physrev.00004.2011. [DOI] [PubMed] [Google Scholar]
  • 25.Lin G, Bornfeldt KE. Cyclic AMP-specific phosphodiesterase 4 inhibitors promote ABCA1 expression and cholesterol efflux. Biochem Biophys Res Commun. 2002 Jan 18;290(2):663–9. doi: 10.1006/bbrc.2001.6259. [DOI] [PubMed] [Google Scholar]
  • 26.Khovidhunkit W, Moser AH, Shigenaga JK, Grunfeld C, Feingold KR. Endotoxin down-regulates ABCG5 and ABCG8 in mouse liver and ABCA1 and ABCG1 in J774 murine macrophages: differential role of LXR. J Lipid Res. 2003 Sep;44(9):1728. doi: 10.1194/jlr.M300100-JLR200. [DOI] [PubMed] [Google Scholar]
  • 27.DiBlasio-Smith EA, Arai M, Quinet EM, Evans MJ, Kornaga T, Basso MD, et al. Discovery and implementation of transcriptional biomarkers of synthetic LXR agonists in peripheral blood cells. J Transl Med. 2008 Oct 16;6:59. doi: 10.1186/1479-5876-6-59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Khovidhunkit W, Kim MS, Memon RA, Shigenaga JK, Moser AH, Feingold KR, et al. Effects of infection and inflammation on lipid and lipoprotein metabolism: mechanisms and consequences to the host. J Lipid Res. 2004 Jul;45(7):1169. doi: 10.1194/jlr.R300019-JLR200. [DOI] [PubMed] [Google Scholar]
  • 29.Butcher LR, Thomas A, Backx K, Roberts A, Webb R, Morris K. Low-intensity exercise exerts beneficial effects on plasma lipids via PPARgamma. Med Sci Sports Exerc. 2008 Jul;40(7):1263. doi: 10.1249/MSS.0b013e31816c091d. [DOI] [PubMed] [Google Scholar]
  • 30.Sadeghi Fazel F, Rashid Lamir A, Khajeie R, Safipour Afshar A. The Effect of Combined Training on ABCG5 and ABCG8 in Coronary Artery Bypass Graft Patients. Intern Med Today. 2022;28(3):398. [Google Scholar]
  • 31.Bagheri R, Darroudi S, Hosseini SM, Nikkar H, Khodadadi F, Kasraee S, et al. Effects of High-Intensity Resistance Training and Aerobic Exercise on Expression of ABCG4, ABCG5 and ABCG8 Genes in Female Athletes. Med Lab J. 2020;14(3):40. [Google Scholar]
  • 32.Ghanbari-Niaki A, Zare-Kookandeh N, Deldar H, Zare-Kookandeh A, Baghaei-Tehrani R. Visceral fat ABCG1, ABCG5 and visfatin gene expression in response to a treadmill running program with or without a liquid Pistachio-atlantica (Bene) extraction in female rats. Iran J Card Surg. 2013;5(2&3):10. [Google Scholar]
  • 33.Ghanbari-Niaki A, Zare-Kookandeh N, Zare-Kookandeh A. ABCG5 gene responses to treadmill running with or without administration of Pistachio atlantica in female rats. Iran J Basic Med Sci. 2014 Mar;17(3):162. [PMC free article] [PubMed] [Google Scholar]
  • 34.Ghanbari-Niaki A, Rahmati-Ahmadabad S, Zare-Kookandeh N. ABCG8 Gene Responses to 8 Weeks Treadmill Running With or Without Pistachia atlantica (Baneh) Extraction in Female Rats. Int J Endocrinol Metab. 2012 Fall;10(4):604. doi: 10.5812/ijem.5305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Meissner M, Nijstad N, Kuipers F, Tietge UJ. Voluntary exercise increases cholesterol efflux but not macrophage reverse cholesterol transport in vivo in mice. Nutr Metab (Lond) 2010 Jul 1;:54–59. doi: 10.1186/1743-7075-7-54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ngo Sock ET, Farahnak Z, Lavoie JM. Exercise training decreases gene expression of endo- and xeno-sensors in rat small intestine. Appl Physiol Nutr Metab. 2014 Oct;39(10):1098. doi: 10.1139/apnm-2013-0573. [DOI] [PubMed] [Google Scholar]
  • 37.Mohammadi A, Mirzaei F, Moradi MN, Jamshidi M, Ghiasvand T, Yari R, et al. Effect of flaxseed on Serum Lipid Profile and expression of NPC1L1, ABCG5 and ABCG8 genes in the intestine of diabetic rat. Avicenna J Med Biochem. 2013;1(1):1. [Google Scholar]
  • 38.Back SS, Kim J, Choi D, Lee ES, Choi SY, Han K. Cooperative transcriptional activation of ATP-binding cassette sterol transporters ABCG5 and ABCG8 genes by nuclear receptors including Liver-X-Receptor. BMB Rep. 2013 Jun;46(6):322. doi: 10.5483/BMBRep.2013.46.6.246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Malik P, Berisha SZ, Santore J, Agatisa-Boyle C, Brubaker G, Smith JD. Zymosan-mediated inflammation impairs in vivo reverse cholesterol transport. J Lipid Res. 2011 May;52(5):951. doi: 10.1194/jlr.M011122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Freeman LA, Kennedy A, Wu J, Bark S, Remaley AT, Santamarina-Fojo S, et al. The orphan nuclear receptor LRH-1 activates the ABCG5/ABCG8 intergenic promoter. J Lipid Res. 2004 Jul;45(7):1197. doi: 10.1194/jlr.C400002-JLR200. [DOI] [PubMed] [Google Scholar]
  • 41.Fitzgerald ML, Mujawar Z, Tamehiro N. ABC transporters, atherosclerosis and inflammation. Atherosclerosis. 2010 Aug;211(2):361. doi: 10.1016/j.atherosclerosis.2010.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Panousis CG, Zuckerman SH. Interferon-gamma induces downregulation of Tangier disease gene (ATP-binding-cassette transporter 1) in macrophage-derived foam cells. Arterioscler Thromb Vasc Biol. 2000 Jun;20(6):1565. doi: 10.1161/01.atv.20.6.1565. [DOI] [PubMed] [Google Scholar]

Articles from ARYA Atherosclerosis are provided here courtesy of Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences

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