- Open Access
Expression profiling and analysis of some miRNAs in subcutaneous white adipose tissue during development of obesity
Genes & Nutrition volume 15, Article number: 8 (2020)
MicroRNAs are emerging as new mediators in the regulation of adipocyte physiology and have been approved to play a role in obesity. Despite several studies have focused on microRNA expression profiles and functions in different metabolic tissues, little is known about their response to nutritional interventions in white adipose tissue during obesity stages, and whether they differ in this response to weight-reduction strategy is poorly understood. Our objectives were to study the dysregulation of some miRNAs in subcutaneous inguinal white adipose tissue during weight change, expansion/reduction; in response to both a high-fat diet and switching to a normal diet feeding, and to evaluate them as potential biomarkers and therapeutic targets for early obesity management
A hundred 6-week-old male Wister rats were randomly divided into a normal diet group (N.D), a high-fat diet group (H.F.D), and a switched to a normal diet group (H.F.D/N.D). At the beginning and at intervals 2 weeks, serum lipid, hormone levels, total body fat mass, and inguinal subcutaneous white adipose tissue mass (WAT) measurements were recorded using dual-energy X-ray absorptiometry (DEXA). The expression levels of microRNAs were evaluated using real-time PCR.
Significant alterations were observed in serum glucose, lipid profile, and adipokine hormones during the early stages of obesity development. Alteration in rno-mir 30a-5p, rno-mir 133a-5p, and rno-mir 107-5p expression levels were observed at more than one time point. While rno-let-7a-5p, rno-mir 193a-5p, and rno-mir125a-5p were downregulated and rno-mir130a-5p was upregulated at all time points within 2 to 4 weeks in response to H.F.D feeding for 10 weeks. The impact of switching to normal diet has a reversed effect on lipid profile, adipokine hormone levels, and some miRNAs. The bioinformatics results have identified a novel and important pathway related to inflammatory signalling.
Our research demonstrated significant alterations in some adipocyte-expressed miRNAs after a short time of high caloric diet consumption. This provides further evidence of the significant role of nutrition as an epigenetic factor in regulation of lipid and glucose metabolism genes by modulating of related key miRNAs. Therefore, we suggest that miRNAs could be used as biomarkers for adiposity during diet-induced obesity. Perhaps limitation in calories intake is a way to manipulate obesity and associated metabolic disorders. Further studies are needed to fully elucidate the role of microRNAs in the development of obesity
Obesity is a metabolic disorder increasing in prevalence worldwide and is a result of complex interactions of multiple factors including genetics and environment. Such disturbance which is associated with a higher incidence of many diseases, including diabetes, cardiovascular disease, and cancer, creates a global epidemic of major health concerns [1, 2]. It is now firmly established that diet is among the environmental factors that lead to metabolic alterations. Consuming high-calorie density food leads to increase fat accumulation in adipose tissue and consequently increases the levels of circulating free fatty acids in the blood. This leads to macrophage activation and the production of pro-inflammatory cytokines via Toll-like receptors, resulting in inflammation in adipose tissue [3, 4]. In experimental studies, when the mice have been received a high-fat diet (H.F.D), they develop insulin resistance and obesity in a manner similar to the progression of the disease in humans [5, 6]. Increased energy expenditure and decreased energy consumption are the most recommended lifestyle changes to reduce obesity and increase insulin sensitivity in the treatment of dietary obesity (DIO) and obesity-related disease. Generally, limitation in calories intake and fat diet percentage decreases body weight and improves insulin sensitivity. Additionally, the bodyweight reduction and improvement of insulin sensitivity could also be attained by reduction of the percentage fat diet, which is by switching from a HFD to a low-fat diet (LFD) .
MicroRNAs (miRNAs) are endogenous small RNAs that post-transcriptionally regulate gene expression. They have been shown to have important roles in many disease processes.
There is increasing evidence that miRNA plays an important role in the regulation of adipose tissue pathways that control a range of processes, including adipogenesis, insulin resistance, and inflammation [8, 9]. Recent studies have uncovered several miRNAs expressed in metabolic organs that could be used as possible therapeutic targets for obesity and its consequences. Among these microRNAs are Let 7, the potent regulator of glucose metabolism and peripheral insulin resistance , which showed significant alteration in obesity and metabolic disorders . In previous studies, it manifests its effects by targeting high-mobility group AT-hook 2 (HMGA2), a transcription factor that regulates growth and proliferation in other contexts. These phenomena occur in part through the let-7-mediated repression of multiple components of the insulin-PI3K-mTOR pathway, including IGF1R, INSR, and IRS2. In addition, the mTOR inhibitor, rapamycin, abrogates Lin28a-mediated insulin sensitivity and enhanced glucose uptake .
Moreover, it was postulated that miR-103/107 are involved in regulation of insulin through caveolin-1. miR-107 contributes in inflammation and obesity in a Toll-like receptor 4/myeloid differentiation primary response 88 manner (TLR4/MYD88) in the activated macrophages located in the adipose tissue; it also is known to be a lipid-modulated miRNA [13, 14]. Another miRNA was also found to be involved in diet-induced obesity, miR-107. It is an intronic miRNA and is co-regulated with its respective host gene pantothenate kinase 1 (PANK 1) during 3T3-L1 adipogenesis . Its expression has been found to be downregulated in a mouse model of genetic insulin resistance and obesity, possibly through a stimulated inflammatory pathway [15, 16]. Additionally, other studies have confirmed the significant downregulation of mir-107 in white adipose tissue (WAT) of obese mice in a TLR4/MYD88 manner [13, 17,18,19,20,21,22]. These findings revealed mir-107 link to adaptive and innate immune activation/polarization with the potential role in obesity-mediated inflammation  with respect to evidence that were reported by Daimiel-Ruiz L et al. in 2015 .
Additionally, mir-30 and mir-125a trigger molecular mechanisms associated with insulin resistance (IR) and inflammation in adipose tissue. miR-130 is induced by the inflammatory condition and upregulated causing adipocyte dysfunction. The mechanisms are targeting peroxisome proliferator-activated receptor γ (PPARγ) which is downregulated during the pro-inflammatory response and adipocyte dysfunction [24,25,26]. In human adipocytes, miR-193b controls adiponectin production via pathways involving nuclear transcription factor Yα and possibly nuclear receptor interacting protein 1 .
Currently, how changes in miRNA profiles might affect adipose tissue at the functional and molecular level and to what extent they differ in response to weight-control strategies are not well understood. This information is important to help control the development of dietary anti-obesity interventions for obese individuals.
This present study aimed to investigate miRNA dysregulation in adipose tissue during weight change stages, expansion/reduction, detect whether this dysregulation can be restored, and detect potential biomarkers and therapeutic targets for obesity. Also, determine the target genes and the significantly regulated pathways of each miRNA and consequently, enrich their functional role in obesity onset and progression.
Material and methods
Diet-induced obese rat models were used in this study. A hundred 6-week-old Wister male rats were selected from the breeding colonies maintained in the Modern Veterinary House /Egypt. All rats were group-housed in clean cages labeled with time points, 6–8 rats/cage, and were placed in a temperature-controlled room with a 12:12-h light-dark cycle. They were classified into three groups according to the feeding protocol:
Group A (H.F.D). Rats in this group received a high-fat diet (H.F.D) for 10 weeks.
Group B (H.F.D/N.D). High-fat diet feeding followed by normal diet which means a group from the fattened rats in group a received normal diet for 8 weeks.
Control group in which rats received normal diet for 18 weeks (N.D).
Retro-orbital sinus blood samples were collected from five rats in each group (n = 5) at 0, 2, 4, 6, 8, and 10 weeks of H.F.D group and at 4 and 8 weeks for the (H.F.D/N.D) along with their control groups. The diets provided at least 3.85 kcal/g of energy . The basal experimental diet was formulated to cover the nutrient requirements of the rats. The normal diet used in this experiment contained enough nutrient and energy to meet requirements for rats’ growth and development. Additionally, a high-fat diet was performed by adjusting the proportion of fat of normal diet based on previous studies [29, 30]. Fat content was 20% sheep tallow as presented in Table 1.
Then those rats were sacrificed for Dual-energy X-ray absorptiometry DEXA and inguinal subcutaneous tissue collection by dissecting it free of surrounding tissue and then frozen in liquid nitrogen from. Serum and fat tissue samples were stored at −70°C before being used for extraction of RNA or biochemical and hormone assays.
Stainless steel nipples for drinking and feeders allowing recording individual feed intake for each rat were supplied for each cage. Rats of all groups were kept under the same managerial conditions.
Adipose tissue analysis
Weight changes and fat composition of inguinal subcutaneous adipose tissue using dual-energy X-ray absorptiometry (DEXA) were recorded at 0, 2, 4, 6, 8, 10 weeks and at 4, 8 weeks for the (H.F.D/N.D) along with their control rat groups. Histological and morphometric analysis were carried out in adipose tissue samples of all groups. Representative microscopic pictures of hematoxylin-eosin-stained sections were used .
Alteration in hormone levels during weight changes were detected by enzyme-linked immunosorbent assay (ELISA), while blood glucose level was measured using hexokinase colorimetric method. The other biochemical analysis, total cholesterol, triglycerides, and high-density lipoprotein (HDL) was determined by enzymatic methods (Spectrum kit, Egyptian Company for biotechnology (S.A.E,) Obour City, Cairo, Egypt). The low-density lipoprotein cholesterol was determined using the equation: LDL cholesterol = total cholesterol − HDL cholesterol − (Triglycerides / 5)
Total RNA from (100 mg) adipose tissues was isolated using miRNeasy Mini Kit (QIAGEN, GmbH, Hilden), according to the manufacturer’s instructions. RNA quantitation was done using NanoDrop Lite (ThermoScientific, Wilmington, DE).
Differential expression of (miR-130a-5p, miR-30a-5p, miR-133-5p, let-7a-5p, miR-107-5p, mir-125a-5p, and mir-195-5p) were evaluated in inguinal subcutaneous white adipose tissue driven from HFD , HFD/ND, and ND groups using quantitative RT-PCR (qRT-PCR). The total purified RNA (1 μg) was reverse transcribed into cDNA using miScript II RT Kit (QIAGEN, GmbH, Hilden) according to the manufacturer’s protocol. miRNA expression was performed by real-time PCR method. The reaction mixture was carried out in a total volume of 20 μL containing 2.0 μL of cDNA (100 ng/μL), 10 μL of 2× SYBR Green PCR Master Mix, 2.0 μL of 10× miScript Universal Primer, 2.0 μL of 10× miScript Primer Assay specific for each mature miRNA, and the total reaction volume was completed up to 20 μL using nuclease-free water. PCR amplification was carried out as follows: 95 °C for10 min; 40 cycles in three steps: 94 °C for 15 se, 55 °C for 30 s and 70 °C for 30 s, followed by 4 °C forever. Validation of miRNAs was done on Rotor-Gene, Real-Time System (BIO-RAD, Hercules, CA). Experiments were run in triplicates. Relative expression levels of miRNAs were analyzed using the 2^ (−ΔΔCt) method using RNU6B expression level as a housekeeping gene.
Statistics and data presentation
All data are presented as mean ± SEM. Comparisons between time-points (week 0, week2, week 4, week6, week8, and week10) were performed using the paired t test and non-parametric test. P < 0.05 was considered significant.
In silico analysis for the selected seven miRNAs which are well known to exhibit differential alterations in case of obesity onset. This was performed to explain our experimental results of the miRNAs expression and importantly, to reveal their mechanistic roles in obesity. The flow of the analysis based on finding out the target genes regulated by each miRNA and identifying the possible cellular pathways in which these target genes are involved.
MicroRNA in silico target analysis
MicroRNA target analysis was done using miRWalk 2.0 server [http://mirwalk.uni-hd.de/] which is a database that gives both predicted and experimentally validated miRNA-targets . The predicted and the validated target genes of each miRNA were obtained with cut off P value 0.05. Both predicted and validated miRNA targets were combined together for further undergo functional enrichment analysis.
Functional enrichment analysis
Functional enrichment analysis for the miRNA target genes was done using the DAVID server [Database for Annotation, Visualization and Integrated Discovery], (https://david.ncifcrf.gov) [33, 34] in order to reveal the pathways of obesity where the predetermined miRNA targets are regulated. The most significantly enriched pathways were retrieved from Kyoto Encyclopedia of Genes and Genomes (KEGG)  and they were detected with P value threshold 0.05.
Our results cover two experimental periods extended for 18 weeks. The first feeding condition is a 10-week H.F.D feeding period while the second one is an 8-week switching to N.D feeding period.
In response to high-fat diet feeding
In our study, marked abnormalities were observed in high-fat diet (H.F.D) group rats during the early stages of fat diet feeding. Among these abnormalities are disturbance in adipokine, glucose, insulin levels, and pathophysiological changes. Moreover, the time course study of some miRNAs showed expressional changes in adipose tissue in different durations. The data presented in Table 2 show a significant difference in body weight of the high-fat diet group compared to the bodyweight of those fed on normal diet in 14 days after feeding. A gradual increase of body weight was observed with the highest significant (P < 0.01) increase at week 10; however, a constant change in weight gain in the last feeding period was observed. It appeared reasonable to notice a gradual increase in total body fat mass and inguinal subcutaneous white adipose tissue mass in association with the gradual rise in body weight. The greatest fat mass increment was at weeks 8 and 10 (Table 2, Fig. 1).
The effect of high-fat diet on fat cell morphology was observed under a microscope by H & E  (Fig. 2). The examined sections of subcutaneous inguinal white adipose tissue of rats fed on high-fat diet for 2 weeks revealed lobules of variable sized mature fat cells (average diameter 50 μm), separated by delicate fibrous septae. While those of normal group revealed lobules of variable sized mature fat cells (Average diameter 34.6 μm), with no detectable fibroplasia of inflammatory cellular infiltrate. Fat cell size increased until it reached the peak at week 8 and 10 as the lobules reached average diameter 225 μm separated by fibrous septae showing marked fibroplasia and mild inflammatory cellular infiltrate compared to control.
During the development of obesity in response to H.F.D, a clear change was observed mostly as a significant (P < 0.05) increase in fasting glucose and insulin levels started at week 4 and week 6 respectively compared to normal diet group. Additionally, the blood lipid level in high-fat diet group markedly (P < 0.05) increased reaching the peak at week 10. These changes included increased triglycerides, total cholesterol, and low-density lipoprotein and decreased high-density lipoprotein levels(Tables 3 and 4).
Leptin concentration showed a significant (P < 0.05) increase as early as 4 weeks after the high-fat feeding diet was initiated (Table 5). The difference between the two groups H.F.D and N.D then kept constant during the 4 weeks of the experiment. The same pattern of response of leptin was observed in weight gain. In contrast, adiponectin level decreased significantly (P < 0.05) at week 2 reaching the lowest value at week 8 compared to control (Table 5).
The present study conducted profiling of some miRNAs to investigate the change in their expression pattern in inguinal subcutaneous white adipose tissue during high-fat diet consumption and during switching to normal diet feeding.
Our miRNA-profiling data analysis found that high-fat diet feeding exerted marked alterations on miRNA expression in such fat depot during the early stages of weight gain. The pattern expression of rno-mir-130a-5p in HFD group represented different alterations at more than one-time point. It showed a statistical gradual increase at week 4 and week 6 and reduced at week 8. However, at week 10 it statistically increased compared with control. Rno-mir-30a-5p of H.F.D group revealed a high statistical upregulation by 2.3-fold change at week 6 compared with control then reduced after 8 weeks compared with control. The expression level of rno-mir-133a-5p was significantly upregulated at weeks 2 and 4 then it was downregulated started from week 6 until the end of the experiment. Rno-let-7a-5p had nearly the same pattern of dysregulation of rno-mir-133a-5p. Moreover, rno-mir-107a-5p and rno-mir 193a-5p expression levels were significantly upregulated by 1.8-fold change at weeks 8 and 10 following fat diet feeding respectively compared with control. Regarding rno-mir 125a-5p, the dysregulation stared from week 2 until it reached a significant downregulation at week 10 compared with control (Fig. 3)
In response to switching to normal diet feeding (H.F.D/N.D)
A moderate change in weight and fat mass was observed as consequence of this feeding protocol comparing to control, therefore we were not able to detect significant changes of size and morphology of adipocytes after 8 weeks of returning rats to normal diet feeding and because weight changes were moderated (Table 6, Fig. 4), probably a kind of tiny local modifications could not be detectable using histological methods
Switching from H.F.D to N.D was associated with a clear reversal in blood glucose and insulin levels at week 4 and 8. However, both levels were significantly higher compared with control at week 4 (Table 7).
Other changes were also reversed significantly on switching to N.D like total cholesterol and high- and low-density lipoproteins. However, the alteration was moderate non-significant in triglycerides, leptin, and adiponectin levels (Tables 8 and 9).
Upon switching to N.D, 2 weeks were sufficient to lead to a significant upregulation of rno- mir-107a-5p, and rno-mir133a-5p, by 2.4-fold changes while rno-let-7a-5p showed late significant upregulation at week 8 in the subcutaneous inguinal white adipose tissue after the downregulations in response to H.F.D feeding. However, rno-mir 30a-5p was clearly maintained with a continuous significant downregulation at weeks 6 and 8. In contrast, rno-mir-193a-5p maintained with a continuous upregulation significantly at weeks 6 and 8. Additionally, rno-mir-125a-5p expression was significantly different along the time points (2, 6, and 8 weeks) compared with control (Fig. 5).
Bioinformatics analysis results
The significantly predicted and validated target genes of each of our seven miRNAs in the context of obesity onset were identified using miRwalk target prediction tool. Then, the critical pathways of obesity, in which the pre-determined targets are implicated, were determined using DAVID functional enrichment tool. Interestingly, some of the determined pathways were considered novel as they have not been mentioned previously with the miRNA (Additional file 1: Table S1). miR-130-5p functional analysis has 26 significantly novel enriched pathways responsible for obesity development and progression. Interestingly, all of these pathways results supported miR-130-5p upregulation in response to H.F.D as results of upstream activator molecules enhancing miR-130-5p high expression. The most important pathways involved in this effect included endocytosis, focal adhesion, TGF-beta signaling pathway, insulin signaling pathway, and adipocytokine signaling pathway.
Regarding the results of functional analysis, miR-30a-5p has been found to regulate 31 pathways which involved in obesity. AMPK signaling pathway is the most significantly enriched pathway (P value 0.000000036). This pathway has been demonstrated to have a vital role for maintaining energy homeostasis of adipocytes and its activation protect against HFD-induced obesity by inhibiting adipogenesis, gluconeogenesis, and stimulates lipolysis, glucose consumption, and insulin sensitivity. Moreover, miR-30a-5p regulating its predicted target genes of AMPK signaling and consequently, miR-30a-5p may be a promising strategy for anti-obesity therapy.
Remarkably, endocytosis is the most significantly enriched pathway (P value 0.000000028).
mir-133a-5p has 34 significantly enriched pathways, and the novel pathways included fatty acid metabolism and regulation of autophagy. Remarkably, endocytosis is the most significantly enriched pathway (P value 0.000000028). This novel finding showing highly significant and coordinated regulation of miR-133a-5p of target genes of endocytosis mechanisms that reduce obesity. Overall, miR-133a-5p represents a potential drug target against obesity and type 2 diabetes through inhibiting adipogenesis and insulin resistance.
Let-7a-5p functional analysis has 32 significantly enriched pathways and the novel pathways included TNF signaling pathway and Notch signaling pathway which implied its involvement in obesity. Notably, MAPK signaling pathway and PI3K-Akt signaling pathway are the most highly statistically significant pathways (P value 0.000000014) which are regulated by let-7a-5p. Consequently, let-7a could inhibit all of these adipogenic properties of its targets and provide effective therapeutics against obesity.
mir-107-5p has 31 significantly enriched pathways and the novel pathways included Rap1 signaling pathway and Sphingolipid signaling pathway. Like mir-125, Rap1 signaling pathway is the most highly statistically significant pathway which is regulated by mir-107 but with higher number of predicted targets (187 target genes). In addition, Wnt signaling pathway is the second statistically significant pathway which evolved from our functional enrichment. mir-193a-5p functional analysis has 33 significantly enriched pathways and the novel pathways included Glucagon signaling pathway and glycolysis/gluconeogenesis. These pathways showed the enhanced anti-adipogenic role of mir-193-5p through regulating its target genes. In addition, MAPK signaling pathway represents the most significantly enriched pathway (P value 0.0000000011) which plays a critical role in adipogenesis and mir-193-5p can fine-tune the adverse events of this pathway to fight against obesity. Collectively, obesity-associated decrease in expression of miR-193a-5p may be responsible for its effects in adipose tissue.
Finally, mir-125a-5p functional enrichment analysis has shown 29 significant pathways and the novel pathways included cAMP signaling pathway and adipocytokine signaling pathway. Collectively, our findings showed the coordinated regulation of expression of miR-125a-5p and its target genes to improve obesity pathogenesis. Rap1 signaling pathway is the most highly statistically significant pathway evolved from our functional enrichment of miR-125a-5p.
During times of overfeeding, the size of adipocytes clearly increases due to the storage of extra triglycerides. Such expansion is strongly correlated with adipokine dysregulation, inflammation, insulin resistance, and other pathophysiological changes. These manifestations of high calories intake and fat accumulation involve a large number of cellular signaling, that itself is driven by various epigenetic modifications, most recently discovered, miRNA expression regulation [37,38,39,40]. Understanding these changes allows developing new therapeutics to change in the expression of miRNAs during obesity stages. We showed in our time course study expansion in inguinal subcutaneous white adipose tissue with a significant increase in fat mass determined by DEXA analysis when compared to control. The histological and morphometric study showed a clear increase in the size and the number of adipocytes at an early time point, week 4, during the high-fat diet feeding. The early increment in body weight in H.F.D. group was associated with the same pattern of response in leptin concentration which confirms the strong correlation between leptin and adiposity and its role in regulating appetite and body weight [41, 42]. Additionally, the disturbance in blood lipids, fasting glucose, and insulin levels in H.F.D group compared to N.D group suggested a rapid orientation of metabolism toward storage of lipid during the first weeks of overfeeding which is in line with previous studies [29, 43, 44]. The fat storage capacity in the progression of obesity [43, 45]. However, the late constant change difference in body weight appeared between our H.F.D and N.D groups suggested a sort of adaptation to high-fat feeding so as to control the gain in adiposity.
Remarkably, the fibrosis state in the later stages of the fat diet feeding period in our study empathized the role played by the fat diet in inflammatory events during the progress of obesity [46, 47]. More importantly, the remarkable feature of the process of adipogenesis is observed as an increased number of adipocytes in body fat depots. Previous work has focused on the regulation of this process through several adipocytes-selective microRNAs (miRNAs) and transcription factors that modulate adipocyte proliferation and differentiation. However, some miRNAs block expression of master regulators of adipogenesis [48,49,50,51,52,53,54].
In the context of these important regulatory roles of mRNAs, understanding in depth microRNA functions, their pathways, and target genes are possibly beneficial for weight control at an early stage to prevent health problems.
Therefore, the expression profiles of seven candidate miRNAs (rno-mir130a-5p, rno-mir30a-5p, rno-mir-133a-5p, rno-mirlet-7a-5p, rno-mir107a-5p, rno-mir193a-5p, and rno-mir125a-5p) were examined in our study. Few reports have been linking some of them with obesity, while the others were first identified.
As shown from the determined pathways resulted from the bioinformatics analysis, the seven miRNAs of interest regulate a variety of signaling pathways which are critical for obesity development and progression. Interestingly, some of these regulated pathways are novel and shared by most of the miRNAs in our study. Examples of the novel pathways include FoxO signaling pathway, Hippo signaling pathway, Rap1 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, chemokine signaling pathway, and adipocytokine signaling pathway. While examples of the common pathways included insulin signaling, fatty acid metabolism, PI3K/AKT signaling, MAPK signaling, and TGF-beta signaling.
The upregulation of miR-130a-5p in our study started from week 4 reaching the peak at week 10 suggested dysfunction in adipocytes from the early stages of high-fat dieting. Inflammation is a possible mechanism that may be responsible for this upregulation, i.e., high-fat diet-induced obesity recruits macrophages around the adipose tissue and promotes an inflammatory response . miR-130 is then induced by this inflammatory condition and upregulated causing adipocyte dysfunction. The mechanisms are targeting peroxisome proliferator-activated receptor γ (PPARγ) which is downregulated during the pro-inflammatory response and adipocyte dysfunction. This was in line with Kim et al.  who observed that the levels of miR-130a and mir-130b were upregulated 3.9- and 2.9-fold change, respectively, through downregulation of its target gene, PPARγ in white adipose tissue from high-fat diet mice compared to control diet mice.
Experimental studies showed downregulation of miR-130b in obese or HFD mice [57, 58], while some other studies showed upregulation of miR-130b in ob/ob or HFD mice [58, 59]. These discrepancies among studies might be resulted from some other variables rather than the factors under investigation such as origin of fat cells (e.g., fat samples from subcutaneous or visceral fat depots, species, or strain of animals) and high-fat diet conditions (e.g., fat composition of diet, duration of HFD). Therefore, comprehensive and integrated analyses are required to explain the differential expression miRNAs in various obesity-related models.
In contrast, miR-30a-5p appeared to be downregulated during periods of HFD-feeding. However, switching back to normal diet did not change the expression pattern which is in a good agreement with Hsiehet al. (2015) . Moreover, our gradual inflammation state of adipose tissue which started from delicate fibrous septae at week 6 of H.F.D feeding and reached a marked fibroplasia and mild inflammatory cellular infiltrate at weeks 8 and 10 supports the potential link of mir-30a-5p expression change with inflammation. The family of 30 miRNAs has been recently reported to modulate metabolic inflammation through Notch signaling genes, including Delta-like ligand-4 (DLL4), which are elevated in obesity and serve as a form of communication between macrophages and adipocytes. Also, Miranda Yang  conducted studies on adipose tissue macrophages (ATMs) using array analysis and PCR validation and revealed that miRNAs(-30a-5p, -30c-5p, and -30e-5p) were downregulated in obese ATMs suggesting that the miR-30 family plays an important role in macrophage phenotype. In our study, mir-30a-5p showed a sudden increase at week 6 which is not explained and needed further investigations. Interestingly, few reports revealed target sites for miR-30 on leptin gene, a gene encodes leptin hormone that is secreted by white adipocytes [62, 63]. Such hormone is well known to be linked to adiposity, appetite regulation, and insulin sensitivity; however, our abnormal leptin production by fat cell and the body response resistance in adiposity condition need further studies to validate miR-30a effect on leptin in such hormonal defect.
mir-133a-5p is known to be expressed in both brown and subcutaneous white adipose and directly targeting the 3′ UTR of PR domain containing 16 (Prdm16). It is the gradual lower expression that started from week 6 upon high-fat feeding in our study may reflect the differentiation of another kind of adipocyte which is called brown pre-adipocytes. This is in line with Liu W  who observed that the expression of miR-133a dramatically decreases in inguinal white adipose tissue along the commitment and differentiation of brown pre-adipocytes, accompanied by the upregulation of Prdm16. This adrenergic stimulus has been characterized as an important stimulator of brown adipocyte differentiation.
In previous work, miR-133a has been ranked among the differentially expressed miRNAs in association with a long-term high-fat diet and among the significantly downregulated miRNAs in white adipocytes [58, 65]. Based on these findings, mir-133a has been known to be important in obesity-related mechanism and inversely correlated with fasting glucose, HbA1c, and 2-h glucose tolerance . These were consistent with our results which showed a significant decrease of miR-133a in WAT in HFD rat group and its significant increase on switch to normal diet. Notably, mir-133a was proposed as an important therapeutic target for the treatment of obesity because its overexpression has been found to decrease the expression of genes associated with general adipogenesis (Pparg, Fabp4, Cebpb, and Adipoq), beige adipogenic markers(Tnfrsf9 and Tmem26), and brown adipogenic markers (Prdm16, Pgc1a, Ucp1, Cidea, and miR-196a).
In the present study, let-7-5p showed a decreased level of expression starting from week 4 and ended with a continuous decrease until week 10. Moreover, the significant increase of blood glucose and insulin levels at the same feeding period supports the hypothesis that miR let-7 might be the reason. Consequently, the gradual increase of body weight and fat mass reaching the peak in week 10 might result secondarily from disturbance of glucose level [9, 66].
Consistent with previous studies [67, 68], we have verified the downregulation of Let-7a-5p in the HFD rats compared to normal control and conversely, it has been found to be upregulated on switch to the normal diet.
Our current study validated a late upregulation of miR-107-5p in WAT at 8th week of the HFD period which would indicate a sort of adipose tissue inflammation. The downregulation observed in our study at week 10 may predict an adaptive inflammatory response .
The overall involvement of mir-107 in obesity has been revealed from the computational study which predicted that miR-107 affect multiple mRNA targets in pathways of energy and lipid metabolism in metabolic tissues including white adipose tissue .
The downregulation of miR-193 in WAT during and after HFD feeding-induced obesity has been previously reported [15, 19, 57, 58]. In addition, its downregulation caused a remarkable reduction in lipid accumulation and downregulation of adipogenesis markers, e.g., adiponectin . In our work, the expression of this miRNA was consistently found to be downregulated in all HFD period except at week 10; this late significant increase of miR-193a-5p is in line with Ocłoń et al.  who conducted their study on a different kind of fat depot, epicardial adipose tissue, and concluded that miR-193 a is predicted to target phosphoenol pyruvate carboxykinase 2 (PCK)-2, SOS-2, tuberin (TSC2), or phosphatase and tensin homolog deleted on chromosome 10 (PTEN). These genes are involved in the insulin and adipocytokine signaling pathways. Taken together, supported clues about disturbances in glucose metabolism have been verified. In a NGS study, mir-193a was found to be among the obesity-associated miRs which significantly involved in oncogenesis . The molecular mechanisms investigating the effects resulted from decreasing mir-193a in obese mice hasn't been clearly reported.
mir-125a-5p has been shown to be upregulated in mature adipocytes where it acts as a potent anti-adipogenic mir  through promoting adipocytes proliferation and inhibiting adipocytes differentiation. In addition, mir-125a has been reported to regulate fatty acid metabolism-related genes. Furthermore, miR-125a enhances insulin signaling and when it significantly downregulated it associated with insulin resistance in IR-3T3-L1 adipocytes .
Switching to a normal diet caused a non-significance reduction in leptin level, total body weight, and adiposity of the obese rat group and an increase in adiponectin level concentration. Notably, the upregulated miRNAs in HFD/ND were downregulated in obese rats and vice versa, implying that the downregulation of these miRNAs by obesity could be reversed by N.D treatment.
The study limitation included the H.F.D control group which is not continued in our experiment due to the small sample size. We considered that the results of 10th week (obesity rat) are a corresponding control of the weeks (2, 6, and 8). Also, this group achieved the purpose of significant weight-gain of obesity compared to control.
In this study, we proved a clear dysregulation of miRNAs in important sites of energy storage, white adipose tissue, after short time of high caloric diet consumption. It also highlighted the improvement effect in dysregulated microRNA upon switching to normal diet. Additionally, it demonstrated the potential use of miRNAs as biomarkers for adiposity changes and as a therapeutic target in white adipose tissue during diet-induced obesity.
Availability of data and materials
All data analyzed during this study are included in this article and its additional files.
Normal diet group
White adipose tissue
Dual-energy X-ray absorptiometry
van Vliet-Ostaptchouk JV, Snieder H, Lagou V. Gene–lifestyle interactions in obesity. Current nutrition reports. 2012;1(3):184–96.
Chopra M, Galbraith S, Darnton-Hill I. A global response to a global problem: the epidemic of overnutrition. Bulletin of the World Health Organization. 2002;80:952–8.
Youssef-Elabd EM, McGee KC, Tripathi G, Aldaghri N, Abdalla MS, Sharada HM, et al. Acute and chronic saturated fatty acid treatment as a key instigator of the TLR-mediated inflammatory response in human adipose tissue, in vitro. The Journal of nutritional biochemistry. 2012;23(1):39–50.
Blüher M. The inflammatory process of adipose tissue. Pediatric endocrinology reviews: PER. 2008;6(1):24–31.
Kanasaki K, Koya D. Biology of obesity: lessons from animal models of obesity. BioMed Research International. 2011;2011.
Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006;444(7121):840.
Muurling M, Jong MC, Mensink RP, Hornstra G, Dahlmans VE, Pijl H, et al. A low-fat diet has a higher potential than energy restriction to improve high-fat diet-induced insulin resistance in mice. Metabolism-Clinical and Experimental. 2002;51(6):695–701.
Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. cell. 2004;116(2):281-97.
Deiuliis J. MicroRNAs as regulators of metabolic disease: pathophysiologic significance and emerging role as biomarkers and therapeutics. International journal of obesity. 2016;40(1):88.
Zhu H, Shyh-Chang N, Segrè AV, Shinoda G, Shah SP, Einhorn WS, et al. The Lin28/let-7 axis regulates glucose metabolism. Cell. 2011;147(1):81–94.
Sun T, Fu M, Bookout AL, Kliewer SA, Mangelsdorf DJ. MicroRNA let-7 regulates 3T3-L1 adipogenesis. Molecular endocrinology. 2009;23(6):925–31.
Viswanathan SR, Daley GQ, Gregory RI. Selective blockade of microRNA processing by Lin28. Science. 2008;320(5872):97–100.
Foley NH, OˈNeill LA. miR‐107: a Toll‐like receptor‐regulated miRNA dysregulated in obesity and type II diabetes. Journal of leukocyte biology. 2012;92(3):521–7.
Trajkovski M, Hausser J, Soutschek J, Bhat B, Akin A, Zavolan M, et al. MicroRNAs 103 and 107 regulate insulin sensitivity. Nature. 2011;474(7353):649.
Xie H, Lim B, Lodish HF. MicroRNAs induced during adipogenesis that accelerate fat cell development are downregulated in obesity. Diabetes. 2009;58(5):1050–7.
Williams MD, Mitchell GM. MicroRNAs in insulin resistance and obesity. Experimental diabetes research. 2012;2012.
Wu C-W, Biggar KK, Storey KB. Expression profiling and structural characterization of microRNAs in adipose tissues of hibernating ground squirrels. Genomics, proteomics & bioinformatics. 2014;12(6):284–91.
Xie H, Sun L, Lodish HF. Targeting microRNAs in obesity. Expert opinion on therapeutic targets. 2009;13(10):1227–38.
Gerin I, Bommer GT, McCoin CS, Sousa KM, Krishnan V, MacDougald OA. Roles for miRNA-378/378* in adipocyte gene expression and lipogenesis. Am J Physiol Endocrinol Metab. 2010;299(2):E198–206.
Qin L, Chen Y, Niu Y, Chen W, Wang Q, Xiao S, et al. A deep investigation into the adipogenesis mechanism: Profile of microRNAs regulating adipogenesis by modulating the canonical Wnt/β-catenin signaling pathway. BMC Genomics. 2010;11(1):320.
Esau C, Kang X, Peralta E, Hanson E, Marcusson EG, Ravichandran LV, et al. MicroRNA-143 regulates adipocyte differentiation. J Biol Chem. 2004;279(50):52361–5.
Oskowitz AZ, Lu J, Penfornis P, Ylostalo J, McBride J, Flemington EK, et al. Human multipotent stromal cells from bone marrow and microRNA: regulation of differentiation and leukemia inhibitory factor expression. Proc Natl Acad Sci U S A. 2008;105(47):18372–7.
Daimiel-Ruiz L, Klett-Mingo M, Konstantinidou V, Micó V, Aranda JF, García B, et al. Dietary lipids modulate the expression of miR-107, an miRNA that regulates the circadian system. Mol Nutr Food Res. 2015;59(3):552–65.
Chen T, Huang Z, Wang L, Wang Y, Wu F, Meng S, et al. MicroRNA-125a-5p partly regulates the inflammatory response, lipid uptake, and ORP9 expression in oxLDL-stimulated monocyte/macrophages. Cardiovascular research. 2009;83(1):131–9.
Tang X, Muniappan L, Tang G, Özcan S. Identification of glucose-regulated miRNAs from pancreatic β cells reveals a role for miR-30d in insulin transcription. Rna. 2009;15(2):287–93.
Zaragosi L-E, Wdziekonski B, Le Brigand K, Villageois P, Mari B, Waldmann R, et al. Small RNA sequencing reveals miR-642a-3p as a novel adipocyte-specific microRNA and miR-30 as a key regulator of human adipogenesis. Genome biology. 2011;12(7):R64.
Nikhra V. Exploring role of adipose organ and dysmetabolic effects of adiposity: over-nutrition, nutrient overload, Insulin Resistance, T2DM and Other Fallouts.
Wu S, Aguilar AL, Ostrow V, De Luca F. Insulin resistance secondary to a high-fat diet stimulates longitudinal bone growth and growth plate chondrogenesis in mice. Endocrinology. 2010;152(2):468–75.
Nascimento AF, Sugizaki MM, Leopoldo AS, Lima-Leopoldo AP, Luvizotto RA, Nogueira CR, et al. A hypercaloric pellet-diet cycle induces obesity and co-morbidities in Wistar rats. Arquivos Brasileiros de Endocrinologia & Metabologia. 2008;52(6):968–74.
Francia-Farje LAD, Silva DS, Volpato GT, Fernandes GSA, Carnietto N, Cicogna AC, et al. Sibutramine effects on the reproductive performance of pregnant overweight and non-overweight rats. Journal of Toxicology and Environmental Health, Part A. 2010;73(13-14):985–90.
Fischer AH, Jacobson KA, Rose J, Zeller R. Hematoxylin and eosin staining of tissue and cell sections. Cold Spring Harbor Protocols. 2008;2008(5):pdb. prot4986.
Dweep H, Sticht C, Pandey P, Gretz N. miRWalk–database: prediction of possible miRNA binding sites by “walking” the genes of three genomes. Journal of biomedical informatics. 2011;44(5):839–47.
Dennis G, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC, et al. DAVID: database for annotation, visualization, and integrated discovery. Genome biology. 2003;4(9):R60.
Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature protocols. 2008;4(1):44.
Ogata H, Goto S, Sato K, Fujibuchi W, Bono H, Kanehisa M. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic acids research. 1999;27(1):29–34.
McManus J, Mowry R. Staining methods histologic and histochemical. Paul B. Hoeber. Inc. New York. 1960;423.
Bartel DP. MicroRNAs: target recognition and regulatory functions. cell. 2009;136(2):215-33.
Lu J, Clark AG. Impact of microRNA regulation on variation in human gene expression. Genome research. 2012:gr. 132514.111.
Gennarino VA, D'Angelo G, Dharmalingam G, Fernandez S, Russolillo G, Sanges R, et al. Identification of microRNA-regulated gene networks by expression analysis of target genes. Genome research. 2012.
Arner P, Kulyte A. MicroRNA regulatory networks in human adipose tissue and obesity. Nature Reviews Endocrinology. 2015;11(5):276.
Leon-Cabrera S, Solís-Lozano L, Suárez-Álvarez K, González-Chávez A, Béjar YL, Robles-Díaz G, et al. Hyperleptinemia is associated with parameters of low-grade systemic inflammation and metabolic dysfunction in obese human beings. Frontiers in integrative neuroscience. 2013;7:62.
Wajchenberg BL. Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocrine reviews. 2000;21(6):697–738.
Drolet R, Richard C, Sniderman A, Mailloux J, Fortier M, Huot C, et al. Hypertrophy and hyperplasia of abdominal adipose tissues in women. International journal of obesity. 2008;32(2):283.
Spalding KL, Arner E, Westermark PO, Bernard S, Buchholz BA, Bergmann O, et al. Dynamics of fat cell turnover in humans. Nature. 2008;453(7196):783.
Faust IM, Johnson PR, Stern JS, Hirsch J. Diet-induced adipocyte number increase in adult rats: a new model of obesity. American Journal of Physiology-Endocrinology And Metabolism. 1978;235(3):E279.
Halberg N, Khan T, Trujillo ME, Wernstedt-Asterholm I, Attie AD, Sherwani S, et al. Hypoxia-inducible factor 1α induces fibrosis and insulin resistance in white adipose tissue. Molecular and cellular biology. 2009;29(16):4467–83.
Ge Q, Brichard S, Yi X, Li Q. microRNAs as a new mechanism regulating adipose tissue inflammation in obesity and as a novel therapeutic strategy in the metabolic syndrome. Journal of immunology research. 2014;2014.
Kajimoto K, Naraba H, Iwai N. MicroRNA and 3T3-L1 pre-adipocyte differentiation. Rna. 2006;12(9):1626–32.
Chen C-Z, Li L, Lodish HF. Bartel DP. MicroRNAs modulate hematopoietic lineage differentiation. science. 2004;303(5654):83–6.
Karp X, Ambros V. Encountering microRNAs in cell fate signaling. Science. 2005;310(5752):1288–9.
Yi R, Poy MN, Stoffel M, Fuchs E. A skin microRNA promotes differentiation by repressing ‘stemness’. Nature. 2008;452(7184):225.
Xu P, Guo M, Hay BA. MicroRNAs and the regulation of cell death. TRENDS in Genetics. 2004;20(12):617–24.
Cheng AM, Byrom MW, Shelton J, Ford LP. Antisense inhibition of human miRNAs and indications for an involvement of miRNA in cell growth and apoptosis. Nucleic acids research. 2005;33(4):1290–7.
Schickel R, Boyerinas B, Park S, Peter M. MicroRNAs: key players in the immune system, differentiation, tumorigenesis and cell death. Oncogene. 2008;27(45):5959.
Guilherme A, Virbasius JV, Puri V, Czech MP. Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes. Nature reviews Molecular cell biology. 2008;9(5):367.
Kim C, Lee H, Cho YM, Kwon O-J, Kim W, Lee EK. TNFα‐induced miR‐130 resulted in adipocyte dysfunction during obesity‐related inflammation. FEBS letters. 2013;587(23):3853–8.
Ortega FJ, Moreno-Navarrete JM, Pardo G, Sabater M, Hummel M, Ferrer A, et al. MiRNA expression profile of human subcutaneous adipose and during adipocyte differentiation. PloS one. 2010;5(2):e9022.
Chartoumpekis DV, Zaravinos A, Ziros PG, Iskrenova RP, Psyrogiannis AI, Kyriazopoulou VE, et al. Differential expression of microRNAs in adipose tissue after long-term high-fat diet-induced obesity in mice. PloS one. 2012;7(4):e34872.
Bengestrate L, Virtue S, Campbell M, Vidal-Puig A, Hadaschik D, Hahn P, et al. Genome-wide profiling of microRNAs in adipose mesenchymal stem cell differentiation and mouse models of obesity. PloS one. 2011;6(6):e21305.
Hsieh C-H, Rau C-S, Wu S-C, Yang JC-S, Wu Y-C, Lu T-H, et al. Weight-reduction through a low-fat diet causes differential expression of circulating microRNAs in obese C57BL/6 mice. BMC genomics. 2015;16(1):699.
Miranda K, Yang X, Bam M, Murphy EA, Nagarkatti PS, Nagarkatti M. MicroRNA-30 modulates metabolic inflammation by regulating Notch signaling in adipose tissue macrophages. International Journal of Obesity. 2018;1.
McGregor A. R, S Choi M. microRNAs in the regulation of adipogenesis and obesity. Current molecular medicine. 2011;11(4):304–16.
Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. cell. 2005;120(1):15-20.
Liu W, Bi P, Shan T, Yang X, Yin H, Wang Y-X, et al. miR-133a regulates adipocyte browning in vivo. PLoS genetics. 2013;9(7):e1003626.
Walden TB, Timmons JA, Keller P, Nedergaard J, Cannon B. Distinct expression of muscle‐specific microRNAs (myomirs) in brown adipocytes. Journal of cellular physiology. 2009;218(2):444–9.
Frost RJ, Olson EN. Control of glucose homeostasis and insulin sensitivity by the Let-7 family of microRNAs. Proceedings of the National Academy of Sciences. 2011;108(52):21075–80.
Brandao BB, Guerra BA, Mori MA. Shortcuts to a functional adipose tissue: the role of small non-coding RNAs. Redox biology. 2017;12:82–102.
Santovito D, De Nardis V, Marcantonio P, Mandolini C, Paganelli C, Vitale E, et al. Plasma exosome microRNA profiling unravels a new potential modulator of adiponectin pathway in diabetes: effect of glycemic control. The Journal of Clinical Endocrinology & Metabolism. 2014;99(9):E1681–E5.
Reilly SM, Saltiel AR. Adapting to obesity with adipose tissue inflammation. Nature Reviews Endocrinology. 2017;13(11):633–43.
Wilfred BR, Wang W-X, Nelson PT. Energizing miRNA research: a review of the role of miRNAs in lipid metabolism, with a prediction that miR-103/107 regulates human metabolic pathways. Molecular genetics and metabolism. 2007;91(3):209–17.
Arner E, Mejhert N, Kulyté A, Balwierz PJ, Pachkov M, Cormont M, et al. Adipose tissue microRNAs as regulators of CCL2 production in human obesity. Diabetes. 2012;61(8):1986–93.
Ocłoń E, Latacz A, Zubel-Łojek J, Pierzchała-Koziec K. Hyperglycemia-induced changes in miRNA expression patterns in epicardial adipose tissue of piglets. The Journal of endocrinology. 2016;229(3):259–66.
Kuryłowicz A, Wicik Z, Owczarz M, Jonas M, Kotlarek M, Świerniak M, et al. NGS reveals molecular pathways affected by obesity and weight loss-related changes in miRNA levels in adipose tissue. International journal of molecular sciences. 2017;19(1):66.
Diawara MR, Hue C, Wilder SP, Venteclef N, Aron-Wisnewsky J, Scott J, et al. Adaptive expression of microRNA-125a in adipose tissue in response to obesity in mice and men. PLoS One. 2014;9(3):e91375.
Herrera BM, Lockstone HE, Taylor JM, Wills QF, Kaisaki PJ, Barrett A, et al. MicroRNA-125a is over-expressed in insulin target tissues in a spontaneous rat model of Type 2 Diabetes. BMC medical genomics. 2009;2(1):54.
The authors are immensely grateful for the National Research Centre for providing the required equipment and lab facilities to complete this research project
This research project was funded by Science & Technology Development Fund (6883), Ministry of Scientific Research.
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All experiment procedures were revised and approved by Research Ethical Approval Committee, National Research, Egypt.
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Youssef, E.M., Elfiky, A.M., BanglySoliman et al. Expression profiling and analysis of some miRNAs in subcutaneous white adipose tissue during development of obesity. Genes Nutr 15, 8 (2020). https://doi.org/10.1186/s12263-020-00666-0
- High-fat diet
- Normal diet
- Expression profiling
- Inguinal subcutaneous white adipose tissue