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Article

Effects of Static Magnetic Field (SMF) Exposure on Coronary Heart Disease (CHD) Risk Indicators

1
Master’s Programme in Biomedical Science, Faculty of Medicine, Universitas Indonesia, Jakarta 16424, Indonesia
2
Department of Medical Biology, Faculty of Medicine, Universitas Indonesia, Jakarta 16424, Indonesia
3
Department of Physics, Faculty of Mathematical and Natural Science, Universitas Negeri Jakarta, Jakarta 13220, Indonesia
*
Author to whom correspondence should be addressed.
BioMed 2023, 3(1), 103-112; https://doi.org/10.3390/biomed3010009
Submission received: 5 December 2022 / Revised: 7 January 2023 / Accepted: 15 January 2023 / Published: 30 January 2023

Abstract

:
Dyslipidemia is a condition of abnormalities in blood lipids, such as increased LDL and decreased HDL. Exposure to intracellular static magnetic fields (SMFs) can affect membranes to modulate the number of Ca2+ ions, which can affect cell biological effects. Increasing the number of Ca2+ ions will affect the expression of genes that help reduce LDL levels as an indicator of CHD. This study aims to see whether the influence of SMFs can affect calcium levels, lipid profiles, SREBP-2 protein excretion, and LDLR gene expression, which affects the process of breaking down cholesterol. We used obese C57BL/6J male mice divided into standard and HFD feed groups. The HFD feed group was split into Obes0, Obes2, Obes7, Obes14, and Obes21 groups based on the day of exposure. The exposure was carried out with an intensity of Bmax = 2 mT for 1 h daily. After exposure to SMFs, there were changes in blood cholesterol and LDL levels, which tended to decrease in the Obes2 and Obes7 groups and increase in the Obes14 and Obes21 groups. In addition, the exposed group tended to have an increase in the expression of the LDLR gene, SREBP-2 protein, and calcium ion compared to the control. Although it managed to increase after exposure on days 14 and 21, there was a decrease in the expression of the LDLR gene and SREBP-2 protein; hence, the effect of SMF exposure can reduce the risk of CHD. However, research still needs to be done regarding the effective duration of exposure.
Keywords:
CHD; Gen LDLR; LDL; SMF; SREBP-2

1. Introduction

Obesity is a world health problem that is a global epidemic and is often caused by multifactorial disease [1]. In addition to genetic factors, obesity is also influenced by environmental factors such as a high intake of calories compared to output. The Global Burden of Disease (GBD) tool states that an increase in body mass index (BMI) values to ≥30 kg/m2 is defined as obesity [2,3]. Obesity can increase the morbidity and mortality of cardiovascular disease (CVD) directly and indirectly [4].
One of the most dangerous CVDs is coronary heart disease (CHD). Dyslipidemia is one of the early signs of CHD, which is also associated with an increase in total cholesterol (TC) from its normal amount. Dyslipidemia is a condition of abnormalities in blood fats, such as increased low-density lipoprotein (LDL), triglycerides, and decreased high-density lipoprotein (HDL) [5]. Increased LDL levels in blood circulation can be reduced by LDL degradation stimulated by low-density lipoprotein receptors (LDLRs), which are present on the cell surface. When there is a decrease in cholesterol in the cell, it activates sterol-regulatory element-binding protein (SREBP)-2 to form a complex with SCAP as a transcription factor for the LDLR gene to absorb LDL [6,7,8].
Static magnetic fields (SMFs) are electromagnetic and are more applied in therapy because only simple magnetic disks are used to generate them both in vitro and in vivo [8]. Based on its intensity, SMFs are classified into several types, namely, weak (>1 mT), moderate (≥1 mT–1 T), strong (1–20 T), and very strong (>20 T). The intensity is often used in many kinds of research for its potential for biological and therapeutic effects and is widely developed in the moderate intensity range [9,10]. Molecular mechanisms of the effect of static magnetic fields on cellular processes are still the target of research. So far, the effect of SMF exposure in cellular processes is by influencing ion transport across the membrane by activating ion channels so that it can influence the movement of ions across the plasma membrane, which causes changes in ion concentrations in the cell environment [11]. This exposure influences the membrane to modulate the amount of intracellular Ca2+ through the calmodulin pathway.
Continuous increases in LDL levels in the blood will cause an accumulation of LDL and will form atherosclerotic plaques in the coronary arteries, which can increase the risk of CHD. The effect of SMF exposure on CHD risk has not been carried out, but in previous studies, exposure to SMFs with an intensity of Bmax = 2 mT and a duration of 1 h per day in obese mice reduced the weight of the mice [12]. Therefore, this study wants to observe the effect of exposure to SMFs of Bmax = 2 mT; we expect to see an increase in LDLR gene expression and SREBP-2 protein levels, which can prevent atherosclerosis as a cause of a reduced risk of CHD.

2. Method

2.1. Study Approval

The Ethical Committee of Universitas Indonesia approved the animal welfare and experimental procedures (number KET-374/UN2.F1/ETIK/PPM.00.02/2022).

2.2. High-Fat Diet Induction

Thirty male mice of the C57BL/6J strain, aged six weeks, were used in this study. Mice were formed into two groups of feed: normal feed and a high-fat diet (HFD). Feeding was carried out for more than 12 weeks. Then, the mice were divided into six groups. The first group was the control group, which was given normal food. Then, the HFD group, which will be called the obesity group, was divided based on the length of time of exposure, namely, Obes0, Obes2, Obes7, Obes14, and Obes21. Confirmation of obese mice was done by calculating the Lee index using the formula for the mice’s body weight (g) divided by the length of the mice. If the result was >0.31, then the mouse could be said to be obese.

2.3. SMF Exposure

SMF exposure was carried out for 1 h per day with an intensity of Bmax = 2 mT. Mice were exposed according to group: Obes0 was not exposed, Obes2 was exposed for two days, Obes7 for seven days, Obes14 for 14 days, and Obes21 for 21 days. Every group of mice to be exposed was placed in a closed cage with an area of 30 × 20 × 15 cm, with five mice per cage. The cage was placed in the middle of the two coils of the Helmholtz coil for exposure.

2.4. Measurement of Cholesterol and LDL Levels

Measurement of total cholesterol levels in mice was carried out before and after exposure. Measuring total cholesterol levels in mice was carried out using the colorimetric enzymatic method using the Glory diagnostics kit. This measurement is carried out by taking blood plasma samples before exposure to blood plasma, which is taken in the orbital sinus section. Then, the absorbance was measured using a UV–vis spectrophotometer at a wavelength of 500 nm.

2.5. Expression of SREBP-2 Protein Using Immunohistochemistry

The liver was fixed using a 4% formaldehyde solution for 24 h at room temperature. Samples were dehydrated, embedded in paraffin, and cut into 5 μm thicknesses. Endogenous peroxidase was blocked using 0.3% H2O2 in methanol for 20 min at room temperature. Samples were washed with PBS and given a blocking solution for 10 min at room temperature. After washing with PBS, the sample pieces were incubated with rat antiSREBP-2 antibody at 4 °C overnight. The sample pieces were then washed with PBS and incubated with biotinylated rabbit anti-rat secondary antibody for 10 min at room temperature. The sample pieces were then washed with PBS and incubated with peroxidase-conjugated streptavidin for 5 min at room temperature. The DAB substrate was applied to the sample pieces for 2 min at room temperature, followed by counterstaining with hematoxylin. The slides were observed in 5 fields of view and photographed under a binocular light microscope with 400× magnification. Images were processed using the IHC profiler in the Image J program.

2.6. LDLR Gene Expression

To see the expression of the LDLR gene using the liver, liver organs were isolated, as much as 2 g, and then stored in RNA later; as much as 200 microliters of RNA isolation was carried out. Isolation was carried out using the spin column method using the Zymo research kit, Orange, California. The liver sample was put into RNALater and placed on a microtube, and 300 µL of DNA Shield was added to the sample. Then, it was homogenized using a homogenizer until it was completely smooth. The samples were subject to centrifugation using RNA prep buffer, alcohol, and RNA wash buffer. Then, the results of RNA isolation were confirmed using a nanodrop at a wavelength of 260/280 with a concentration close to 2.00. After confirming the purity of the RNA, cDNA was prepared to proceed to the RT-PCR process. The expression results were analyzed using the Livak formula [13].
ΔCT sample (Obes0, −2, −7, −14, −21) = CT target gene − CT reference gene
ΔCT calibrator (normal) = CT target gene − CT r reference gene
ΔΔCT = ΔCT − ΔCT calibrator
Expression relative gen = 2 − ΔΔCT

2.7. Observation of the Arteries

Heart samples were isolated, fixed in 4% formaldehyde for three days at room temperature, and then dehydrated using 70%, 96% (2×), and 100% (2×) alcohol for 1 h each. After that, a clearing process was carried out using xylol I, II, and III for 1 h each. The sample was then embedded in paraffin and cut with a thickness of 5 μm using a microtome. Then, the preparations were deparaffinized, rehydrated, and then given hematoxylin and eosin. After that, observations were made under a microscope. The observations focused on the arterial blood vessels.

2.8. Statistic Analysis

Statistical analysis was performed using SPSS 25 for Windows. Variable gene expression and protein content were tested for normality and homogeneity, respectively. The criteria for normally distributed data and the criteria for homogeneous data are p > 0.05. Test pairs of cholesterol and LDL, before and after exposure, were analyzed using the paired sample t-test. Statistical analysis on SREBP-2 gene expression and LDLR gene expression was carried out by a parametric one-way ANOVA test, followed by a post hoc test. The correlation test between SREBP-2 protein expression and gene expression was carried out using the Pearson correlation test. Statistical analysis of calcium levels and the area of the aortic lumen of normal and obese mice used the parametric single t-test.

3. Results

3.1. Body Weight of Mice Induced by High-Fat Feed

The average Lee index for the normal group was 0.262 ± 0.11 (mean ± SD), lower than the obese group, which was 0.341 ± 0.007. After performing the independent t-test statistical analysis, it was found that there was a significant difference between the two study groups of p = 0.000 (p < 0.01) (Figure 1).

3.2. SMF Exposure

Based on the results of testing the cholesterol value after the exposure of each group, it can be seen that there was a decrease in the control, Obes2, and Obes7 groups. Different results were shown in the Obes14 and Obes21 groups, which resulted in increased cholesterol values after exposure. The results of LDL levels can be seen to decrease in the Obes2 and Obes7 groups. In addition to a decrease, there tended to be an increase in the control, Obes14, and Obes21 groups. A visualization chart can be seen in Figure 2.

3.3. SREBP-2 Protein Expression

The results of the OD values obtained between groups after the UI statistics were carried out showed there were significant differences between the groups. There was a decrease in SREBP-2 protein expression between the control group and the obese group compared to the exposed OD values, and those not exposed also experienced significant differences. The results tended to increase in the Obes2 and Obes7 groups and to decrease in the Obes14 and Obes21 groups can been seen in Table 1. A visualization of the immunohistochemistry can be seen in Figure 3.

3.4. LDLR Gene Expression

The results of the LDLR gene expression values obtained were significantly different in each group (p = 0.449); the result was an increase in gene expression from the Obes2 to Obes7 groups and tended to decrease in the Obes14 and Obes21 groups (Figure 4).

3.5. Calcium Value

The data are presented in the form of a bar chart. Based on these results, it was found that the calcium value of mice exposed to SMFs was higher than that of mice without exposure. The highest calcium values were seen in the Obes7 group, and they decreased in the Obes14 and Obes21 groups (Figure 5).

3.6. Coronary Artery Lumen

Increased LDL-C cholesterol can cause blockages in the artery walls, causing the surface area of blood vessels to shrink. Therefore, this study wanted to compare the lumen area of the arteries in the heart in the normal group and the obese group. The results of arterial visualization can be seen in Figure 6.

4. Discussion

The effect of exposure can affect the amount of calcium, protein expression, and gene expression. The group exposed to SMFs tended to experience an increase compared to the obese groups, which were obese mice with no exposure. This study used the C57BL/6J strain of mice. This strain is widely used in research related to obesity and is more resistant to HFD induction than other strains [14]. The process of forming obese mice is carried out by feeding HFD in each obese group. The high-fat diet contains 55% more calories than the normal feed. Hence, based on the results obtained for 12 weeks, given a high-fat diet, there was a significant increase, with a Lee index of >0.310 [15].
Increasing the Lee index in mice in the obese group was expected to increase cholesterol levels compared to the control group. Examining cholesterol levels was carried out before and after exposure to determine the effect of exposure on cholesterol and LDL levels in the blood of mice as early markers of CHD. Based on the results obtained in the control group, there was no difference between before and after. There was an increase in cholesterol in the Obes0, Obes14, and Obes21 groups. Meanwhile, Obes2 and Obes7 experienced a decrease in cholesterol. The decrease in cholesterol and LDL in the blood was generally caused by an increase in LDLR regulation found in the cell membranes of the liver and extrahepatic tissues so that total cholesterol levels would decrease, followed by a decrease in LDL in the blood circulation [16]. This is presumably due to the influence of the right length of exposure to affect reducing cholesterol, namely 2 and 7 days, whereas if the length of exposure is increased (14 and 21 days), it will have a negative effect, namely an increase in total cholesterol and LDL-C levels. This study showed that the effect of calcium influx could reduce total cholesterol and LDL-C within 2 and 7 days of exposure. However, increased exposure time (14 and 21 days) showed a negative effect with an increase in total cholesterol and LDL-C. It is suspected that there is a negative feedback mechanism from the amount of intra-cell calcium on total cholesterol and LDL-C
The LDLR gene is located on the surface of liver cells. The LDL receptor will regulate the process of degrading LDL into cells. LDL cholesterol that is in the blood circulation will bind to LDLR, which will be degraded into cells using the process of endocytosis, which will then be stored or excreted in the body. After cholesterol is released, the LDLR recycling process will occur in the cells [17]. Hence, it is necessary to increase LDLR gene expression to reduce LDL in blood circulation. The effect of exposure on LDLR gene expression could be seen when there was an increase in gene expression after the exposure of Obes7 compared to controls. Meanwhile, there tended to be a decrease in expression in Obes14 and Obes21.
The SREBP-2 protein supporting cholesterol activates the LDL receptor gene and various genes required for cholesterol synthesis [18,19]. Used liver tissue to look at the expression of the SREBP-2 protein. SREBP-2 has a long transcriptional activation domain but precisely activates cholesterol synthesis and predominates in the liver and most other intact tissues [20]. Based on results obtained after exposure to the SREBP-2 protein, there was an increase from Obes2 to Obes7 and a decrease from Obes14 and Obes21.
The increase in the decreased expression of the LDLR gene and SREBP-2 protein was probably influenced by the presence of calcium levels in the liver after exposure to SMFs. This research is to check the level of calcium in the liver. Based on the results obtained, the exposed group had higher calcium levels compared to the control and obese groups without exposure. This might happen because of SMF exposure, which affects Ca2+ ions in the tissue. Although the effect of SMFs on cells is not well understood, activated ion channels facilitate the movement of ions across the membrane. The increased cytosolic Ca2+ ion concentration will affect cell proliferation and differentiation [21]; hence, it might affect the amount of calcium in the liver.
The highest calcium ion levels are in Obes7 and tend to decrease in Obes14 and Obes21. These results have the same trend as LDLR gene expression, and SREBP-2 protein expression increased up to Obes7 and then decreased in Obes14 and Obes21 Several studies reported an increase in intracellular calcium ions in various cell types after SMF exposure [22]. However, the effect of SMF exposure on Obes14 and Obes21, with long exposure times, resulted in a decrease in LDLR gene expression and SREBP-2 protein expression. Although an increase in calcium ions can increase the expression of these genes and proteins, it is reported that too much calcium ions will also inhibit the activation of the SREBP-2 protein as a transcription factor of the LDLR gene to uptake cholesterol [23]. The results of the SREBP-2 protein expression and LDLR gene examination showed an increase in exposure for 2 and 7 days. Whereas at 14 and 21 days of exposure there was a decrease in expression. This is in accordance with the results of examining total cholesterol and LDL-C that there was a decrease on days 2 and 7 and an increase on days 14 and 21. This phenomenon is thought to be influenced by the effectiveness of the duration of exposure to the right calcium influx on days 2 and 7, while exposure on days 14 and 21 decreased. These results are consistent with a study conducted by Lebau Paul et al., (2022) Increase in ER Ca2+ in the liver to block the activation of SREBP-2 protein transcription, which is responsible for PCSK9 regulation, thereby increasing LDLR expression and reducing LDL-C levels in the blood circulation [24]. This effect may occur because of the same intensity, Bmax = 2 mT, but the duration of the day is longer, which will affect the activation of the SREBP-2 protein. Hence, SMF exposure at an intensity of 2 mT has an optimal time of 2 and 7 days, and the effect decreases at 14 and 21 days of exposure. Although there is an increase in cholesterol levels, LDL tends to decrease the expression of the LDLR gene protein in Obes14 and Obes21.
No significant differences were found based on coronary artery morphology. Although there was no significant difference, the area of the arteries in the non-obese control group tended to be wider than the obese group, namely the obese group without exposure. The effect of SMF exposure in each obese group showed that the arterial area tended to be larger than that of the Obese and approached the lumen area in the control group. Research on the effect of SMF exposure on arterial area has not been carried out. The wider the arteries after exposure to SMF, indicating that in this study the effect of SMF can affect the width of the arteries. The results prove that obesity and also the effects of SMF exposure can affect the lumen area of the arteries. Based on the author’s knowledge, research that supports this discussion does not yet exist or has been carried out a lot. Hence, in this study, there was no atherosclerotic process in mice. This may happen because even though HFD has been given and obesity mice are formed, these mice are not yet in a chronic state which causes atherosclerosis to form. Formation of an animal model of atherosclerosis is optimal when cholesterol is more than 2000 mg/dl [25].

5. Conclusions

SMF exposure can affect the decrease and increase in cholesterol and LDL cholesterol levels. After the exposure of the Obes7 group, it decreased, but there was an increase in the Obes14 and Obes21 groups. SREBP-2 protein expression, LDLR gene expression, and calcium ions after exposure increased more compared to the obese group. Because one of the causes of CHD is an increase in LDL cholesterol, which can cause atherosclerotic plaques, the effect of exposure to the intensity of Bmax = 2 mT for 1 h can affect LDL cholesterol levels, protein expression, and gene expression. The decrease in expression from Obes7 to Obes14 and Obes21 indicates that the effect of SMF exposure is also affected by the length of the exposure. Further research is needed regarding the effects of SMF exposure on other organs so that it can be used as an alternative method for reducing the risk of CHD in the future.

6. Study Limitation

No positive control with the formation of animal models of CHD. Only one of the indicators of PJK is reviewed, namely, a decrease in LDL cholesterol.

Author Contributions

Conseptualization, Methodology Reviewing, P.S. and L.Y. Validation, P.S. research implementer, writing manuscript and Editing, R.N.I. Provision of tools, U.U. All authors have read and agreed to the published version of the manuscript.

Funding

Hibah PDUPT grant number NKB-128/UN2.RST/HKP.05.00/2020, which provided the funding to conduct this research.

Institutional Review Board Statement

The Ethical Committee of Universitas Indonesia approved the animal welfare and experimental procedures (number KET-374/UN2.F1/ETIK/PPM.00.02/2022).

Data Availability Statement

The data are not publicly available due to the authors agree not to provide raw data because the results can be seen in the results already describing the data.

Acknowledgments

We would like to gratefully acknowledge KEMENRISTEKBUD, Indonesia Hibah PDUPT grant number NKB-128/UN2.RST/HKP.05.00/2020, which provided the funding to conduct this research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lock, C.; Brindal, E.; Hendrie, G.A.; Cox, D.N. Contextual and environmental influences on reported dietary energy intake at evening eating occasions. Eat. Behav. 2016, 21, 155–160. [Google Scholar] [CrossRef] [PubMed]
  2. Wade, B. A review of pulsed electromagnetic field (PEMF) mechanisms at cellular level: A rationale for clinical use. Am. J. Health Res. 2013, 1, 51–55. [Google Scholar] [CrossRef]
  3. Young, D.R.; Sidell, M.A.; Fitzpatrick, S.; Koebnick, C.; Nau, C.L.; Oshiro, C.; Horberg, M. Characteristics of adults with overweight and obesity who have notattempted weight loss in the prior. Obes. Res. Clin. Pract. 2020, 14, 449–455. [Google Scholar] [CrossRef] [PubMed]
  4. Koliaki, C.; Liatis, S.; Kokkinos, A. Obesity and cardiovascular disease: Revisiting an old relationship. Metabolism 2019, 92, 98–107. [Google Scholar] [CrossRef] [PubMed]
  5. Yuan, Y.; Chen, W.; Luo, L.; Xu, C. Dyslipidemia: Causes, Symptoms and Treatment. Int. J. Trend Sci. Res. Dev. (IJTSRD) 2021, 5, 2456. [Google Scholar]
  6. Yang, H.-X.; Zhang, M.; Long, S.-Y.; Tuo, Q.-H.; Tian, Y.; Chen, J.-X.; Zhang, C.-P.; Liao, D.-F. Cholesterol in LDL receptor recycling and degradation. Clin. Chim. Acta 2020, 500, 81–86. [Google Scholar] [CrossRef]
  7. Goldstein, J.L.; DeBose-Boyd, R.A.; Brown, M.S. Protein sensors for membrane sterols. Cell 2006, 124, 35–46. [Google Scholar] [CrossRef] [Green Version]
  8. Espenshade, P.J. Cholesterol Synthesis and Regulation. In Encyclopedia of Biological Chemistry, 2nd ed.; Lennarz, W.J., Lane, M.D., Eds.; Academic Press: Cambridge, MA, USA, 2013; pp. 516–520. ISBN 9780123786319. [Google Scholar] [CrossRef]
  9. Vergallo, C.; Dini, L. Comparative Analysis of Biological Effects Induced on Different Cell Types by Magnetic Fields with Magnetic Flux Densities in the Range of 1–60 mT and Frequencies up to 50 Hz. Sustainability 2018, 10, 2776. [Google Scholar] [CrossRef] [Green Version]
  10. Zhang, Y.K.; Xu, A. Biological Effects of Static Magnetic Fields; Springer: Berlin/Heidelberg, Germany, 2017. [Google Scholar] [CrossRef]
  11. Goudarzi, F.; Mohammadalipour, A.; Khodadadi, I.; Karimi, S.; Mostoli, R.; Bahabadi, M.; Goodarzi, M.T. The role of calcium in differentiation of human adipose-derived stem cells to adipocytes. Mol. Biotechnol. 2018, 60, 279–289. [Google Scholar] [CrossRef]
  12. Sari, P.; Oktaviani, W.B.; Umiatin, U.; Suryandari, A.D. The Effect Of Static Magnetic Field Exposure On Body Weight And Adipose Cells Density Of Obese Mice. J. Neutrino J. Fis. Dan Apl. 2022, 15, 1–7. [Google Scholar] [CrossRef]
  13. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  14. Montgomery, M.; Hallahan, N.; Brown, S.; Liu, M.; Mitchell, T.; Cooney, G.J.; Turner, N. Mouse strain-dependent variation in obesity and glucose homeostasis in response to high-fat feeding. Diabetologia 2013, 56, 1129–1139. [Google Scholar] [CrossRef] [PubMed]
  15. Rogers, P.; Webb, G.P. Estimation of Body Fat in Normal and Obese Mice. Br. J. Nutr. 1980, 43, 83–86. [Google Scholar] [CrossRef]
  16. Pebriani, R.; Jafar, N.; Hidayanti, H.; Salamah, U. The Effect of Extract of Canarian Nuts on Reduction of Total Cholesterol Levels of Hyperglicemic Rat. J. Sci. Res. Med. Biol. Sci. 2021, 2, 19–29. [Google Scholar] [CrossRef]
  17. Eberlé, D.; Hegarty, B.; Bossard, P.; Ferré, P.; Foufelle, F. SREBP transcription factors: Master regulators of lipid homeostasis. Biochimie 2004, 86, 839–848. [Google Scholar] [CrossRef]
  18. Shimomura, I.; Shimano, H.; Horton, J.D.; Goldstein, J.L.; Brown, M.S. Differential expression of exons 1a and 1c in mRNAs for sterol regulatory element binding protein-1 in human and mouse organs and cultured cells. J. Clin. Investig. 1997, 99, 838–845. [Google Scholar] [CrossRef] [Green Version]
  19. Horton, J.D.; Goldstein, J.L.; Brown, M.S. SREBPs: Activators of the complete program of cholesterol and fatty acid synthesis in the liver. J. Clin. Investig. 2002, 109, 1125–1131. [Google Scholar] [CrossRef]
  20. Zhai, M.; Yang, D.; Yi, W.; Sun, W. Involvement of calcium channels in the regulation of adipogenesis. Adipocyte 2020, 9, 132–141. [Google Scholar] [CrossRef] [Green Version]
  21. Prasad, A.; Teh, D.B.L.; Blasiak, A.; Chai, C.; Wu, Y.; Gharibani, P.M.; Yang, I.H.; Phan, T.T.; Lim, K.L.; Yang, H.; et al. Static Magnetic Field Stimulation Enhances Oligodendrocyte Differentiation and Secretion of Neurotrophic Factors. Sci. Rep. 2017, 7, 1–12. [Google Scholar] [CrossRef]
  22. Salerno, A.G.; Van Solingen, C.; Scotti, E.; Wanschel, A.C.; Afonso, M.S.; Oldebeken, S.R.; Spiro, W.; Tontonoz, P.; Rayner, K.J.; Moore, K.J. LDL Receptor Pathway Regulation by miR-224 and miR-520d. Front. Cardiovasc. Med. 2020, 7, 81. [Google Scholar] [CrossRef] [PubMed]
  23. Lebeau, P.; Al-Hashimi, A.; Sood, S.; Lhoták, Š.; Yu, P.; Gyulay, G.; Paré, G. Endoplasmic Reticulum Stress and Ca2+ Depletion Differentially Modulate the Sterol Regulatory Protein PCSK9 to Control Lipid Metabolism. J. Biol. Chem. 2017, 292, 1510–1523. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Lebeau, P.F.; Byun, J.H.; Platko, K. Caffeine blocks SREBP2-induced hepatic PCSK9 expression to enhance LDLR-mediated cholesterol clearance. Nat. Commun. 2022, 13, 770. [Google Scholar] [CrossRef] [PubMed]
  25. Alice, M.; Yi, Z.; Luisa, R.; Maria Antonietta, R.; Annarita, D. Pressure overload leads to coronary plaque formation, progression, and myocardial events in ApoE–/– mice. Insight Am. Soc. Clin. Investig. 2019, 5. Available online: https://insight.jci.org/articles/view/128220 (accessed on 1 January 2023).
Figure 1. Bar chart for comparison of body weight of mice. Blue color: a group of normal mice; purple color: a group of obese mice. P = significant (p = 0.000, p < 0.01).
Figure 1. Bar chart for comparison of body weight of mice. Blue color: a group of normal mice; purple color: a group of obese mice. P = significant (p = 0.000, p < 0.01).
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Figure 2. Results of cholesterol and LDL levels before and after exposure in each group. p < 0.05, there is a significant difference.
Figure 2. Results of cholesterol and LDL levels before and after exposure in each group. p < 0.05, there is a significant difference.
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Figure 3. Visualization of the immunohistochemistry results in the liver of the protein expression of SREBP-2 groups: (A) normal, (B) Obes0, (C) Obes2, (D) Obes7, (E) Obes14, (F) Obes21. Mice tonsil preparations were used as the positive control (G) and negative control (H). Arrows indicate SREBP-2 expression.
Figure 3. Visualization of the immunohistochemistry results in the liver of the protein expression of SREBP-2 groups: (A) normal, (B) Obes0, (C) Obes2, (D) Obes7, (E) Obes14, (F) Obes21. Mice tonsil preparations were used as the positive control (G) and negative control (H). Arrows indicate SREBP-2 expression.
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Figure 4. LDLR gene expression, p < 0.05 There was a significant difference.
Figure 4. LDLR gene expression, p < 0.05 There was a significant difference.
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Figure 5. Calculation results for calcium levels. Calcium levels in µg.
Figure 5. Calculation results for calcium levels. Calcium levels in µg.
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Figure 6. Visualization of 6 arteries. The results of HE staining were observed under a microscope at 40× magnification. (A) Normal, (B) Obes0, (C) Obes2, (D) Obes7, (E) Obes14, (F) Obes21.
Figure 6. Visualization of 6 arteries. The results of HE staining were observed under a microscope at 40× magnification. (A) Normal, (B) Obes0, (C) Obes2, (D) Obes7, (E) Obes14, (F) Obes21.
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Table 1. SREBP-2 protein OD values.
Table 1. SREBP-2 protein OD values.
GroupOptical Densityp Value
Mean ± SD
Control3.13 ± 0.12 *,b,e
Obes02.39 ± 0.07 *,c,d,e
Obes22.91 ± 0.13 *,e** 0.000
Obes73.05 ± 0.07 *,e
Obes142.97 ± 0.15 *,e
Obes212.63 ± 0.14
** p< 0.01. * p < 0.05. There is a significant difference between groups, b. Obes0, c. Obes2, d. Obes7, e. Obes14.
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Istiqomah, R.N.; Yunaini, L.; Umiatin, U.; Sari, P. Effects of Static Magnetic Field (SMF) Exposure on Coronary Heart Disease (CHD) Risk Indicators. BioMed 2023, 3, 103-112. https://doi.org/10.3390/biomed3010009

AMA Style

Istiqomah RN, Yunaini L, Umiatin U, Sari P. Effects of Static Magnetic Field (SMF) Exposure on Coronary Heart Disease (CHD) Risk Indicators. BioMed. 2023; 3(1):103-112. https://doi.org/10.3390/biomed3010009

Chicago/Turabian Style

Istiqomah, Rahma Nur, Luluk Yunaini, Umiatin Umiatin, and Puji Sari. 2023. "Effects of Static Magnetic Field (SMF) Exposure on Coronary Heart Disease (CHD) Risk Indicators" BioMed 3, no. 1: 103-112. https://doi.org/10.3390/biomed3010009

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