Lipid droplets are highly active organelles that serve a crucial function in energy provision. However, the excessive accumulation of these droplets can lead to obesity and metabolic disorders 17. Visceral fat is recognized as a significant contributor to the development of metabolic disorders 18. During fat tissue production, the body can accumulate up to 20% of its weight as fat. This fat plays a vital function in controlling fat stores and facilitating the degradation of lipid droplets, a process known as lipolysis 19. This study examined changes in the size of lipid droplets resulting from a high-fat diet and physical activity. The findings of our study indicate that 10 weeks of consuming a diet high in fat increased body weight. While HIIT and MICT led to significant weight loss, HIIT training showed a more obvious impact. The size of lipid droplets is dependent on a multitude of factors. The interaction between CIDE and perilipin-1 proteins leads to the growth of lipid droplets, which is an important step in developing adipose tissue 20. The fusion mechanism is catalyzed by two types of CIDEa and CIDEc, which collectively constitute the contact site of lipid droplets. A lipid droplet acts as a donor and transfers its contents to a bigger droplet through a gradient mechanism driven by internal pressure 21. CIDE proteins stabilize the paired lipid droplets by forming a trans homodimer at the junction where two lipid droplets combine. This also causes one of the lipid droplets to increase in size 22.
The study revealed that consuming a diet high in fat results in a substantial elevation of CIDEc proteins and has no impact on CIDEa proteins. Additionally, it causes an increase in the size of lipid droplets. Consequently, consuming a diet high in fat leads to an accumulation of triglycerides within lipid droplets, promoting obesity, as these proteins are essential for the expansion of lipid droplets. However, both HIIT and MICT reduced CIDEc protein levels, but there were no significant changes in CIDEa proteins. Both training protocols decreased the size of lipid droplets, suggesting that the lowering of CIDEc proteins has a more significant impact on this process. The increased activity of the sites where two lipid droplets combine via CIDEc proteins may be responsible for this effect. Simultaneously, there was no significant difference between the two training protocols.
The activation of the lipolysis pathway proceeds by beta-adrenergic stimulation, which leads to an increase in adenylate cyclase and cAMP levels 23. Additionally, phosphorylation of perilipin-1 is involved in this process. Perilipin-1, a protein located on the outer layer of lipid droplets, interacts with CIDE proteins to facilitate the movement of lipids and stimulate the enlargement of droplets 24. Perilipin-1, a crucial controller of lipolysis in adipocytes, promotes the transportation of lipids. The extent of this increase is dependent on the interaction between CIDE protein domains within the core domain of perilipin-1. Removal of this specific region of perilipin-1 alters the interaction between CIDE and perilipin-1, particularly with CIDEa, resulting in accelerated growth of fat droplets 25. When two lipid droplets bind, they form a pore that specifically promotes the exchange of lipids in both directions. The pore size mostly determines the amount of lipid exchange, while the lipid droplet size determines the lipid transfer rate. Thus, perilipin-1 can influence the function of CIDE proteins by acting on the pore 10. Research has shown that perilipin-1 promotes the degradation of fats, resulting in larger lipid droplets when it is not present. Conversely, the presence of perilipin-1 promotes the development of smaller lipid droplets 26, 27.
This study demonstrated that a high-fat diet reduced perilipin-1 levels, suggesting that this decline results in the inactivation of the lipolysis pathway. As mentioned before, decreasing perilipin-1 levels enhances the activity of CIDE proteins, affecting the size of lipid droplets. According to the data obtained from this research (Fig. 4A), there was a significant difference in the size of lipid droplets between the groups having a normal diet and those on a high-fat diet. This study demonstrated that both intermittent and continuous training protocols resulted in an increase in the levels of perilipin-1 and a decrease in the levels of CIDE proteins. These proteins opposed each other and were associated with a significant reduction in the size of lipid droplets in the experimental groups. The elevation of perilipin-1 leads to a reduction in the functionality of CIDE proteins, and the absence of their formation into complexes can be inferred. Figure 4B displays the frequency distribution of fat droplets according to their size, measured in specified arbitrary unit dimensions. It illustrates the variations in the size and quantity of fat droplets across different groups in the research, as influenced by obesity. Also, after implementing two training protocols, HIIT and MICT, what changes have occurred in the frequency of fat droplets with which size more? In the ND group, lipid droplets ranging from 2000 to 6000 µm in size exhibit the largest frequency percentage. This suggests that following a normal diet leads to a greater prevalence of lipid droplets in visceral fat in the 2000–6000 µm range. Approximately 30% of the overall quantity (100%) is related to sizes ranging from 2000 to 4000 µm, while roughly 35% is associated with sizes ranging from 4000 to 6000 µm.
Consequently, the largest size group, representing about 65% of the total percentage of lipid droplet numbers, encompasses most of the total quantity. A high-fat diet causes an increase in the size of fat droplets from 4000 to 8000 µm. Approximately 33% of the droplets range from 4000 to 6000 µm, while about 30% are 6000–8000 µm. Although the percentage of larger droplets in this group is lower than that in the ND group, the size of the droplets has increased. Conversely, among the total frequencies, the percentage of lipid droplets in the HFD group is the greatest, with a range of 4,000 to 8,000. This difference indicates a reduction in the frequency of bigger droplets in the HFD group. However, the enlarged size of the fat droplets suggests their combination. In the HFD + SED group, the fat droplets had the largest size of 4000 to 8000 µm. The frequency of droplets measuring between 4000 and 6000 µm is approximately 40%, while the frequency measuring between 6000 and 8000 µm is around 35%.
The larger droplets, which range from 4000 to 8000 µm, constitute about 75% of the total frequency of lipid droplets. An equal percentage of lipid droplets smaller than 4000 µm and larger than 8000 µm represent a lower percentage. The reduction in the quantity of lipid droplets in the HFD + SED group suggests the integration of lipid droplets. The HIIT training group exhibits the highest frequency of fat droplets, ranging from 2000 to 6000 µm in size. To clarify, around 30% of the total frequency corresponds to sizes ranging from 000 to 4000 µm, while another 30% corresponds to sizes ranging from 4000 to 6000 µm. Together, these size ranges account for 60% of the frequency of large fat droplets in this group, compared to the HFD + SED group. The percentage of large lipid droplets among this group has markedly decreased.
Similarly, the frequency of larger droplets decreased, indicating that the HIIT protocol has effectively reduced the size of lipid droplets measuring 6000 to 8000 µm and greater. Within the MICT group, the most prevalent frequency is observed in the 2000–4000 µm range, constituting around 45% of the overall frequency. This is the largest frequency percentage compared to other groups. Conversely, the frequency percentage in other size categories particularly drops measuring 6000 to 8000 and larger, has significantly declined among this group. These findings demonstrate that the MICT protocol has a stronger effect on reducing extremely large droplets. Compared to the HIIT protocol, it has a better influence on reducing larger droplets. The HIIT protocol has nearly the same impact on reducing all sizes, as shown in Fig. 4.