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. 2019 Nov 12;9:16645. doi: 10.1038/s41598-019-53019-2

miR-22-3p is involved in gluconeogenic pathway modulated by 3,5-diiodo-L-thyronine (T2)

Rosalba Senese 1,#, Federica Cioffi 2,#, Giuseppe Petito 1, Pieter de Lange 1, Aniello Russo 1, Fernando Goglia 2, Antonia Lanni 1,✉, Nicoletta Potenza 1
PMCID: PMC6851083  PMID: 31719576

Abstract

The 3,5-diiodo-L-thyronine (T2) has emerged as an active iodothyronine and its beneficial effects on glucose metabolism including glucose tolerance and insulin resistance is well established. However, little is known about its molecular mechanisms. Given the emerging importance of microRNAs in various metabolic diseases, in this study a possible link between the effects of T2 on glucose metabolism and miRNA expression was investigated by using an in vivo model in which T2 was administered in rats receiving a high fat diet, a condition known to impair glucose homeostasis. The results showed that T2-treated rats had a better tolerance to glucose load and a better performance at the insulin tolerance test in comparison to high fat diet animals. Interestingly, in the serum of the animals treated with T2 there was a general decrease of miRNAs with miR-22a-3p, miR-34c-5p and miR-33a-3p significantly downregulated. Furthermore, miR-22a-3p had the largest variation pointing toward its preeminent role in T2 metabolic effect. In fact, in liver there was an up-regulation of its target (Transcription Factor 7) Tcf7, which had an important impact on gluconeogenesis. This study provide, for the first time, evidences that miRNAs are involved in the effects exerted by T2 on glucose homeostasis.

Subject terms: Extracellular signalling molecules, Pre-diabetes

Introduction

Thyroid hormones (THs; 3,5,3′,5′-tetraiodo-L-thyronine,T4 and 3,5,3′-triiodothyronine, T3) are essential for many physiological processes such as growth, differentiation and metabolism1,2. In the last years, several data have shown that some THs derivatives (natural metabolites and analogues) play a relevant biological role on the metabolism (for reviews see3–8). Among these, many studies are focused on 3,5-diiodo-L-thyronine (T2), a biologically active iodothyronine9–11 (for review see7,12–15). In rats fed on a high-fat diet (HFD), the simultaneous administration of T2 (25 μg/100 g body weight for 4 weeks) prevented hyperlipidemia, liver adiposity, body weight gain and insulin resistance16–18 and, at that dose, no signs of thyrotoxicosis were detected16,17. Interestingly, it has been also shown that T2 administration to HFD-fed rats improved glucose tolerance, insulin sensitivity18 and gluconeogenesis in hepatocytes17. Furthermore, a possible physiological link between glucose metabolism19,20 and circulating T2 has been highlighted by findings from a healthy euthyroid population. To date, however, the mechanism by which T2 affects glucose homeostasis remains to be clarified.

Many reports have demonstrated the involvement of miRNAs in various diseases21–23, mainly in the etiology of cancer but also in metabolic disorders such as obesity and type 2 diabetes (T2D)24,25 which, in turn, are characterized by an impaired glucose homeostasis26,27. Indeed, these small non-coding RNA molecules modulate the levels of kinases and enzymes in the glucose metabolism28 by affecting posttranscriptional regulation of gene expression. Particularly, an altered hepatic miRNA signature for obese diabetic db/db mice was identified by comprehensive miRNome and in silico analyses29. This report showed an altered Wnt signaling pathways in diabetic liver29, and various lines of evidence suggest that Wnt/β-catenin signaling regulates hepatic glucose production28,30–32.

Based on those considerations, the aim of this study was to examine the potential involvement of miRNAs in the mechanisms of action by which T2 affects glucose homeostasis in rats fed on a high-fat-diet. This animal model was chosen since HFD treated rats showed an altered glucose homeostasis and some metabolic disorders, such as altered glucose tolerance and insulin-resistance, thus revealing the beneficial effect of a T2 treatment. In particular: a) a screening of circulating miRNA changes in the serum from HFD-T2 treated vs HFD rats was performed to identify miRNAs potentially involved in the effects of T2; b) the top-ranked microRNA from the screening, rno-miR-22-3p (miR-22), was further investigated in relation to its possible transcript targets involved in glucose metabolism.

Results

Characterization of animal models

Three experimental rat groups were analyzed in this study: rats receiving a standard diet (N), rats receiving a high-fat diet (HFD) and rats receiving a high-fat diet (HFD) with simultaneous administration of T2 (HFD-T2). The metabolic parameters of the three experimental groups were fully determined (Table 1). After four weeks of treatment, HFD-T2 rats had accumulated less fat. In fact, they were 14% lighter compared to the HFD animals (Table 1) with a body weight not different from that of N animals, while the HFD rats were overweight, weighing ~14% more compared to N rats (Table 1). Furthermore, in HFD-T2 rats there were a significantly decrease in adipose mass (Table 1) responsible, primarily, for the lower body weight observed (Table 1). The percentage ratio visceral fat pad weight/body weight was 3.2 ± 0.32 in HFD rats against 2.75 ± 0.153 in HFD-T2 ones (P < 0.05; Table 1). These results are consistent with the action of T2 in counteracting gain in body weight and fat accumulation during an HFD diet33,34. Heart and skeletal muscle weight, important thyrotoxicosis markers, did not differ among the groups (Table 1). Moreover, in HFD-T2 animals serum levels of cholesterol and triglycerides were comparable to those of N rats while were significantly higher in the HFD group (Table 1).

Table 1.

T2 administration prevents HFD-induced changes in systemic metabolic parameters and fat accumulation.

N HFD HFD-T2
BW (g) 405 ± 10 470 ± 12.6* 410 ± 13.2#
LW/BW (%) 2.7 ± 0.23 3.18 ± 0.18 2.71 ± 0.22
HW/BW (%) 0.3 ± 0.01 0.25 ± 0.01 0.309 ± 0.02
GW/BW 0.6 ± 0.04 0.5 ± 0.02 0.55 ± 0.03
WW/BW 2.8 ± 0.2 3.2 ± 0.32* 2.75 ± 0.15#
Cholesterol mg/dl 55 ± 2.5 80 ± 3.7* 60 ± 2.36#
Triglycerides 125 ± 8.12 250 ± 10.2* 124 ± 10.5#
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Body Weight (BW), percentage ratio liver weight/body weight (LW/BW); percentage ratio heart weight/body weight (HW/BW); percentage ratio gastrocnemius weight/body weight (GW/BW); percentage ratio white adipose tissue weight/body weight (WW/BW); and serum cholesterol levels in rats fed on to standard diet (N), to high-fat diet (HFD) and to HFD with contemporary administration of T2 (HFD-T2).*p < 0.05vs N; #P < 0.05 vs HFD. Values are mean ± SEM of 5 independent treatments.

HFD-T2 rats showed a glycaemia comparable to that of N animals (Fig. 1). In fact, the oral glucose tolerance test revealed that, after a glucose load, the animals treated with T2 had a better tolerance to this sugar compared to HFD rats (Fig. 1A). Furthermore, the insulin tolerance test showed that the reduction in the glycaemia after insulin administration was almost the same in HFD-T2 and N animals, but was impaired in HFD animals (Fig. 2B). These data indicate that T2 could prevent the development of insulin resistance induced by a hyperlipidic diet. Overall, the data indicate that T2 administration prevents body weight gain and increased adiposity without inducing a thyrotoxic state, and improve glucose tolerance and insulin sensitivity.

Figure 1.

Figure 1

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Glycaemia in N, HFD and HFD-T2 rats. (A) Oral Glucose Tolerance Test (OGTT) and (B) Insulin Tolerance Test (ITT) in rats fed on to standard diet (N), to high-fat diet (HFD) and to HFD with contemporary administration of T2 (HFD-T2). *p < 0.05 vs N; #p < 0.05 vs HFD. Values are mean ± SEM of five independent treatments.

Figure 2.

Figure 2

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miRNA profiling. Fold regulation of miRNA levels detectable in the serum of 5 HFD-T2 treated rats versus 5 HFD rats (N = 5). P values at Student’s t-test were *p < 0.05, **p < 0.01.

Different circulating miRNAs were detected between HFD-T2 and HFD rats

In order to investigate whether the biological action of T2 was partly due to miRNA-based mechanisms, a screening of circulating miRNAs was performed on serum samples from HFD and from HFD-T2 animals, wherein the beneficial action of T2 was demonstrated. That screening revealed a decrease of several circulating miRNAs in the serum of HFD-T2 versus HFD animals, with miR-22-3p, miR-34c-5p, and miR-133a-3p significantly downregulated (3.1, 2.9 and 2.3, respectively) (Fig. 2). Then, the most responsive miRNA after T2 administration was further validated (Fig. 3). The data confirmed an approximately 50% decreased level of miR-22-3p (miR-22) in the serum of HFD-T2 rats in comparison to HFD rats, and similar level in the serum from HFD and N rats.

Figure 3.

Figure 3

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Circulating miR-22-3p. Serum samples were collected at 1 months from normally-fed rats (N), HFD-fed rats (HFD) and HFD-fed T2-treated rats. Relative miR-22 level was determined by RT-QPCR as described and reported as mean ± SEM of five independent experiments (N = 5) **p < 0.01.

In vivo T2-induced down-regulation of miR-22a-3p results in an up-regulation of Wnt-Responsive Transcription Factor Tcf7 with an impact on gluconeogenesis

miR-22 is abundantly expressed in the liver35,36 and its expression was increased in animals models of insulin resistance and type 2 diabetes37. Moreover, miR-22 has been reported to have as direct target the Wnt-responsive transcription Factor Tcf7 in mouse and human cells, thus impairing gluconeogenesis and, as consequence, an increase in circulatory glucose level37. These data prompted us to investigate this pathway in our experimental rat model. First, miR-22 expression was measured in the liver, revealing that T2 administration to HFD-fed rats significantly reduced miR-22 expression when compared to HFD-fed rats; in HFD rats, the miR-22a expression was increased, although not significantly when compared to N animals (Fig. 4A). Then, based on the prediction of a conserved miR-22 binding site on rat Tcf7 3′UTR (Fig. 4B)37, the Tcf7 hepatic expression was measured, showing a reversed pattern with respect to that of miR-22, as expected for a target of the miRNA (Fig. 4C).

Figure 4.

Figure 4

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Hepatic expression of miR-22 and of its Tcf7 target. (A) RT-qPCR analysis of miR-22a in liver of N, HFD, HFD-T2 rats. (B) Predicted base-pairing between miR-22 and 3′UTR of Tcf7 mRNA. (C) Hepatic Tcf7 expression measured by RT-qPCR. Values are means ± SEM of five independent experiments (N = 5), *p < 0.05 vs N; ***P < 0.05 vs HFD; **P < 0.05 both vs N and HFD.

Finally, in the same samples, we also analyzed the expression levels of genes of gluconeogenesis, i.e., glucose-6-phosphatase (G6Pase), fructose 1-6 bisphosphate (FBPase1) and phosphoenol pyruvate carboxykinase (PEPCK), whose expression increased after Tcf7 targeting siRNA transfection of cell culture37. Consistently, in our in vivo model a strong decrease in the expression of G6Pase and FBPase was observed in response to T2 administration (Fig. 5), wherein Tcf7 resulted increased (Fig. 4C). Furthermore, T2 treatment prevented the increase in glycolytic enzyme (liver pyruvate kinase (LPK)) induced by hyperlipidic diet (Fig. 5).

Figure 5.

Figure 5

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Hepatic expression of rate-limiting genes of gluconeogenesis. RT-qPCR analyses of glucose-6-phosphatase (G6Pase), fructose 1-6 bisphosphate (FBPase1) and phosphoenol pyruvate carboxykinase (PEPCK) were performed on RNA purified from the liver of N, HFD, HFD-T2 rats Values are means ± SEM of five independent experiments (N = 5),). **P < 0.05 vs N and HFD, *P < 0.05 vs N, ***P < 0.05 vs HFD.

Discussion

It is well established that T2 exerts considerable effects on the metabolic activities. Indeed, several laboratories have demonstrated that it is able to influence both the energy metabolism and some biochemical pathways involved in lipid and glucose metabolism9,10,13,15. However, the mechanisms by which it carries out these actions must still be clarified. About glucose metabolism it is known that T2 showed beneficial effect on glucose tolerance and insulin-resistance17,18, as well as overweight/obesity and diabetes16,17. Recently, many reports have shown the involvement of aberrant miRNA expression in metabolic disorders. Because of this, in an attempt to reveal a possible link between miRNA regulation and the beneficial effects of T2 in an HFD-context, a screening of circulating miRNAs was performed on serum samples from HFD and HFD-T2 animals. In the present study for the first time, we provide evidences that miRNAs are involved in the actions exerted by T2 on glucose homeostasis.

The results revealed that the T2-treated animals are protected against fat accumulation and the resulting insulin resistance. In fact, the diiodothyronine prevented body weight gain and the increase in white adipose tissue mass induced by high fat diet; in addition, the diiodothyronine was able to avoid a serum lipid increase (see Table 1). By this way, T2 contributed to improve glucose tolerance and insulin sensitivity (see Fig. 1). As already shown by Lanni et al. using the same experimental design, these effects were not ascribed to central actions of T2 and its actions were not associated with thyrotoxicosis16. Regarding miRNAs, our data revealed a general decrease of miRNAs in the serum of HFD-T2 versus HFD animals, with miR-22-3p, miR-34c-5p, and miR-133a-3p significantly downregulated, suggesting, for the first time, that some biological actions of T2 could be at least in part due to miRNA-based mechanisms. Consistent with our data obtained with an in vivo model, some papers already linked the three miRNAs with glucose metabolism. In particular, miR-34c-5p was found abundantly expressed in the circulating monocytes of type 2 diabetes patients38. From the same miRNA family, miR-34a was down-regulated in type 2 diabetes patients after therapeutic resveratrol treatment39; again its expression was altered in obese db/db mice and its overexpression was associated with increased lipid accumulation in HepG2 cells29. With regard to miR-133a-3p, it was shown that diabetes leads to its downregulation, with an impact on the regulation of target key genes involved in cardiomyocyte hypertrophy, heart failure, cardiac arrhythmia and muscular dystrophy40,41. Finally, regarding to the most reduced miRNA in response to T2 treatment, miR-22 (-3.1-fold, HFD-T2 vs HFD), its increased hepatic expression has been reported in mouse models of insulin resistance and type 2 diabetes25,42, with Tcf7, a key transcription factor involved in the regulation of gluconeogenesis, being demonstrated as its target in mouse and human cells31,43–45. This pathway was further investigated in liver of our rat model, in the light of the effects of T2 in alleviating hyperglycemia, improving glucose tolerance and insulin sensitivity during HFD diet, a condition that impairs glucose homeostasis. We focalized our study principally on the liver because it is known that gluconeogenesis takes place mainly in the liver46,47, even if it cannot be ruled out that other insulin-resistant tissues could contribute to the level of circulating miR-22. The results showed that T2 administration to HFD-fed rats significantly reduced hepatic miR-22 expression when compared to HFD-fed rats alone. Then, based on the prediction of a conserved miR-22 binding site on rat Tcf7 3′UTR, the Tcf7 hepatic expression was measured, and accordingly with that reported for mouse and human cells37, revealed a reversed pattern with respect to that of miR-22, with a consequent reduced expression of Tcf7 targets (G6Pase and FBPase) that would result in a decrease of glucose release and improvement of glucose tolerance observed after T2 administration (Fig. 1). The reduction in miR-22 expression well correlates with the beneficial effects of T2 administration, since it has been found modulated in different metabolic disorders. Diniz GP et al. in 2017 showed that miR-22 is an important regulator of dyslipidemia as the loss of this miRNA attenuated the gain of fat mass and prevented dyslipidemia induced by hyperlipidic diet48. In addition, it has been shown the miR-22 involvement in cardiomyocyte hypertrophy and cardiac remodeling, probably by targeting SIRT1, a Nicotinamide Adenine Dinucleotide + -dependent histone deacetylase involved in a variety of biological processes, including energy metabolism, cell proliferation and chromatin dynamics49,50. Furthermore, we have already demonstrated that T2 prevented the increase in protein levels of LPK HFD-induced contributing to improve glucose tolerance17. Here we showed that T2 prevents that increase downregulating LPK mRNA levels suggesting that, in this way, the iodothyronine could maintain unaltered protein levels of LPK. Again, the effect on improvement of glucose metabolism could be, at least in part, due to an increase in resting metabolic rate as already reported by Lanni et al.16.

In conclusion, our results suggest a miRNA-based action of T2, since different miRNAs changed their level in response to T2 administration; furthermore, our data indicate that one way through which T2 regulates glucose homeostasis could be the down-regulation of miR-22, resulting in an up-regulation of its Tcf7 target which, in turn, impairs gluconeogenesis by inhibiting the expression of gluconeogenesis enzymes (Fig. 6).

Figure 6.

Figure 6

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A model depicting the miR-22-mediated beneficial effect of T2 in HFD rats. The effect of T2 is represented by bold lines: the down-regulation of miR-22 in response to T2 treatment results in a reduced inhibitory effect on the expression of Tcf7 whose hepatic level increases, with the consequence of a reduced expression of gluconeogenesis enzymes and gluconeogenesis impairing.

Materials and Methods

Animals and animal care

All animals received humane care according to the criteria outlined in the Guide for the Care and Use of Laboratory Animals prepared by the National Academy of Sciences and published by the National Institutes of Health. All animal protocols were approved by the Organism in charge of animal welfare (OBPA) of the University of Campania “Luigi Vanvitelli” (Caserta-Italy) and the Italian Minister of Health (Permit Number:704/2016-PR). Every effort was made to minimize animal pain and suffering. Male Wistar Rats (250–300 g, aged 8 weeks) were individually caged in a temperature-controlled room at 28 °C (thermoneutrality temperature for rats) under a 12-h light/12-h dark cycle. Before commencement of the study, a commercial mash (Charles River Laboratories, Calco, Italy) was available ad libitum and the animals had free access to water17,51. At the start of the study (day 0), after 7 days of acclimatizationto thermoneutrality, the rats were divided into three groups of 5 and treated for four weeks as follows:

  • The first group (N) received a standard diet (total metabolizable percentage of energy: 60.4 carbohydrates, 29 proteins, 10.6 fat J J−1; 15.88 kJ gross energy g−1; Muscedola, Milan, Italy) with a daily injection intraperitoneally of vehicle17,51.

  • The second group (HFD) received a high-fat diet (280 g diet supplemented with 395 g of lyophilized lamb meat [Liomellin, Milan, Italy], 120 g cellulose [Sigma-Aldrich, St. Louis, MO], 20 g mineral mix [ICN Biomedical, Solon, OH], 7 g vitamin mix [ICN], and 200 g low-salt butter [Lurpak, Denmark]; total metabolizable percentage of energy: 21 carbohydrates, 29 proteins, 50 fat J J−1; 19.85 kJ gross energy g−1) with a daily injection intraperitoneally of vehicle17,51.

  • The third group (HFD-T2) received the same HFD with a daily injection of T2 (25 μg 100 g−1 body weight intraperitoneally) (Sigma-Aldrich)17,51.

All animals continued to have free access to water. At the end of the treatment, the rats were anesthetized by intraperitoneal injection of chloral hydrate (40 mg 100 g−1 body weight) and then decapitated. Liver, heart, gastrocnemius muscle, and abdominal white adipose tissue were excised, weighed, and immediately frozen in liquid nitrogen and stored at −80 °C for later processing17,51.

Measurements of metabolic parameters

The serum levels of cholesterol and triglycerides were determined by standard procedures. For the oral glucose tolerance test (OGTT), rats were fasted overnight and then orally dosed with glucose (3 g/kg body wt) dissolved in water17. For the insulin tolerance test (ITT), rats were fasted for 5 h and then injected intraperitoneally with insulin (homolog rapid-acting, 10 units/kg body wt in sterile saline; Novartis, Basel, Switzerland)17. Samples of blood were collected before the oral glucose tolerance test and insulin tolerance test and at various times thereafter (as indicated in the Fig. 1), and glucose and insulin values were determined by means of a glucose monitor (BRIO, Ascensia, NY), calibrated for use with rats.

RNA purification

200 μl of serum were used to extract total RNA, including small RNAs, by using miRNeasy Mini kit (Qiagen) according to the supplementary protocol provided for miRNA isolation from serum. A 5-μl aliquot of 5 nmol/l Syn-cel-miRNA-39 miScript miRNA Mimic was spiked into each sample before nucleic acid preparation to monitor the efficiency of miRNA recovery and to normalize miRNA expression in the subsequent real-time PCR analyses52.

Total RNA, including small RNAs, was also extracted by miRNeasy Mini kit (Qiagen) from liver tissues homogenized by polytron. The RNA was spectrophotometrically quantifed by NanoDrop 2000c, ThermoScientific.

miRNA profiling

Reverse- transcription of RNA was performed by miScript II RT kit (SABiosciences); then, aliquots of cDNA preparation were used for real-time PCR profiling of mature miRNAs using Rat Serum&Plasma miRNA PCR Arrays (SABiosciences) in combination with miScript SYBR Green PCR kit (SABiosciences) and the MyiQ2 (Bio-Rad,Hercules, CA) instrument. Data analysis was performed with the web-based software package for the miRNA PCR array system (http://pcrdataanalysis.sabiosciences.com/mirna/arrayanalysis.php). In brief, ΔCt value for each miRNA profiled in a plate is calculated using the formula ΔCt = CtmiRNA− Ctcel-miR-39. ΔΔCt for each miRNA across the two groups of samples (HFD and HFD T2 treated animals) is calculated using the formula: ΔΔCt = ΔCt of HFD-T2 treated group − ΔCt of HFD group. Expression fold-change was then obtained as 2−ΔΔCt (the normalized gene expression (2−ΔCt) in the T2 treatment group divided the normalized gene expression (2−ΔCt) in the HFD group. Data are reported as fold-regulation, where fold-regulation is equal to the fold-change for fold-change values greater than one (up-regulation) or is the negative inverse of the fold-change for fold-change values lower than one (down-regulation)52. The replicate 2−ΔCt values for each miRNA in the HFD and HFD-T2 treatment groups were statistically analyzed by Student’s t-test and the criteria of differential expression were p < 0.05.

Real-time PCR analyses

miR-22 was detected and quantified by RT-QPCR with TaqMan® miRNA assays from Applied Biosystems according to the manufacturer’s protocol. Serum miR-22 level was normalized to that of spiked-in cel-miR-39 as described above; the expression level of hepatic miR-22 was normalized to that of RNU6B used as reference gene in the 2-ΔCt method53.

The hepatic expression levels of the other transcripts were determined by RT-QPCR. In particular, 1 μg of total RNA was used to generate cDNA strands in a 20-μl-reaction volume using the Super Script First Strand Synthesis System for RT-PCR (Invitrogen)17. An equivalent of 25 ng total cDNA was subsequently used in the amplification. Real-Time quantitative RT-PCR (QRT-PCR) was carried out with 50 nM gene-specific primers and IQ SYBR Green supermix (Biorad) using standard cycle parameters on a MyiQ2 (BioRad). A melting curve analysis was completed following amplification from 55–95 °C to assure product identification and homogeneity. Each sample was repeated in triplicate and was normalized to the housekeeping gene β-actin to compensate for any differences in starting quantity of total RNA.

PCR primers were designed by using the Primer 3 program (Untergasser et al., 2012), and synthesized and verified by sequencing at Eurofins Genomics (Ebersberg, Germany)51. Primers used were the following:

rβ-ACT sense 5′-GGA GAT TAC TGC CCT GGC TCC TA-3′

rβ-ACT Antisense 5′-GAC TCA TCG TAC TCC TGC TTG CTG-3′

rG6Pase sense 5′-CAG TGG TTG GAG ACT GGT TC3′

rG6Pase antosense 5′ TTT CCA CGA AAG ATA GCG AGA 3′

rLPK sense 5′-GCA TTG AAA GTG GAA AGC TC-3′

rLPK antisense 5′-GGG GCT AGA TGG CAG ATG TA-3′

rPEPCK sense 5′-CTG GCG TTG AAT GCT TTC TC-3′

rPEPCK antisense 5′-CAA CTG TTG GCT GGC TCT CA-3′

rTCF7 sense5′-AGG TCA GAT GGG TTG GAC TG-3′

rTCF7 antisense5′-AGG GTG CAC ACT GGG TTT AG-3′

rFBPase sense 5′-ATGGTGGAC-CATGCACCCTTCGAA-3′

rFBPase antisense 5′-TTTCTAATT-CCCCGTCGTGGCAAGTCC-3′

Statistical analysis

Results are expressed as mean ± SEM. The statistical significance of differences between N, HFD and HFD-T2 groups (n = 5) was determined using one-way ANOVA followed by a Student-Newman-Keuls test51. Differences were considered significant at p < 0.05. The statistical significance of differences between HFD and HFD-T2 groups (n = 5) was determined using Student’s t-test. Differences were considered significant at p < 0.05.

Statement of ethics

Animal experiments conform to internationally accepted standards. All animals received humane care according to the criteria outlined in the Guide for the Care and Use of Laboratory Animals prepared by the National Academy of Sciences and published by the National Institutes of Health. All animal protocols were approved by the Organism in Charge of Animal Welfare (OBPA) of the University of Campania “Luigi Vanvitelli” (Caserta-Italy) and the Italian Minister of Health (Permit Number:704/2016-PR).

Acknowledgements

This research was financially supported by a “FAR” grant from the University of Sannio and was supported by University of Campania “Luigi Vanvitelli” Programma VALERE: Vanvitelli per la Ricerca.

Author contributions

A.L., A.R. and F.G. conceived and designed the experiments, P.d.L. supervised the animal studies; R.S., F.C. and N.P. carried out all the animal studies; R.S., F.C., N.P. and G.P. performed the experiments; R.S., F.C., N.P. and G.P. analyzed the data; R.S., F.C. and N.P. wrote the manuscript; all the authors revised the manuscript.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Rosalba Senese and Federica Cioffi.

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