Abstract
Growth hormone-releasing hormone (GHRH) antagonist MIA-690 and GHRH agonist MR-409, previously synthesized and developed by us have demonstrated potent antitumor effects. However, little is known about the effects of these analogs on brain functions. We investigated the potential antinflammatory and antioxidant effects of GHRH antagonist MIA-690 and GHRH agonist MR-409, on isolated mouse prefrontal cortex specimens treated with lipopolysaccharide (LPS). Additionally, we studied their effects on emotional behavior after chronic in vivo treatment. Ex vivo, MIA-690 and MR-409 inhibited LPS-induced inflammatory and pro-oxidative markers. In vivo, both MIA-690 and MR-409 induced anxiolytic and antidepressant-like effects, increased norepinephrine and serotonin levels and decreased nuclear factor-kB, tumor necrosis factor-α and interleukin-6 gene expression in prefrontal cortex. Increased nuclear factor erythroid 2–related factor 2 expression was also found in mice treated with MIA-690 and MR-409. MIA-690 showed higher efficacy in inhibiting all tested inflammatory and oxidative markers. In addition, MR-409 induced a down regulation of the gene and protein expression of pituitary-type GHRH-receptor in prefrontal cortex of mice after 4 weeks of treatment at 5 µg/day. In conclusion, our results demonstrate anxiolytic and antidepressant-like effects of GHRH analogs that could involve modulatory effects on monoaminergic signaling, inflammatory and oxidative status.
Subject terms: Prefrontal cortex, Neural circuits
Introduction
Growth hormone (GH)-releasing hormone (GHRH) is a neurosecretory peptide produced by hypothalamic neurons which stimulates synthesis and release of GH in the anterior pituitary gland1,2. In addition to its recognized metabolic and endocrine effects, GHRH exerts also various effects on central and peripheral tissues such as brain, gastrointestinal tract, heart, kidney and retina3–5. In the pituitary, as well as in peripheral tissues, GHRH binds to pituitary-type GHRH-receptor (P GHRH-R), a G protein-coupled receptor which stimulates the adenylyl cyclase, cAMP and protein kinase A (PKA) cascade6, and to its splice variant (SV1)1,7–9.
Various GHRH receptor agonist and antagonist peptides have been synthesized by us and other groups and studied for their biological activity1,10–16. In particular, the novel GHRH antagonists of the Miami (MIA) series, MIA-690 and MIA-602, were found to inhibit growth of different human cancer lines and xenografted into nude mice in microgram doses after subcutaneous administration15,17,18. The most potent antitumor analogs, MIA-690 and MIA-602 also showed antinflammatory activities15. However the MIA-series of GHRH analogs with increased GHRH-R binding affinity have a weak GH inhibitory activity on pituitary somatotrophs15. GHRH agonists of MR series, such as MR-409, exhibit higher potency upon subcutaneous administration and binding activity than the parent hormone14,17. Recently, MR-409, a GHRH agonist, was found to inhibit in vivo growth of lung cancer xenografted into nude mice14,16. The antinflammatory and antioxidant properties of MR-409 could be implicated in these effects. In addition, a GHRH agonist, JI-34, was found to induce anxiety and depression whereas MZ-4-71, a GHRH antagonist, elicited anxiolytic and anti-depressant effects19,20. In addition, we previously found that mice with GH deficiency due to removal of GHRH gene (GHRHKO) had decreased anxiety- and depression-related behaviour21. The aim of our work was to investigate the potential anti-inflammatory and antioxidant effects of GHRH antagonist MIA-690 and agonist MR-409 in the brain, and the role of both classes of analogs on emotional behavior in adult mice.
Results
Inhibitory effects of MIA-690 and MR-409 on LPS-induced prostaglandin (PG)E2 and 8-iso-PGF2α levels in prefrontal cortex specimens
Tissue supernatants PGE2 and 8-iso-PGF2α levels were determined by radioimmunoassay (RIA), after treatment of prefrontal cortex specimens with LPS + MIA-690 (1–5 μM), LPS + MR-409 (1–5 μM), LPS or vehicle. Treatment with LPS induced a significant increase of PGE2 and 8-iso-PGF2α levels in prefrontal cortex specimens, as compared to vehicle treated controls. The GHRH antagonist MIA-690 (1–5 μM) and GHRH agonist MR-409 (1–5 μM) were found to inhibit LPS-induced PGE2 and 8-iso-PGF2α levels in a dose-dependent manner [Fig. 1 panel A and B; F2/12 = 3.11, p < 0.05 and F2/12 = 6.93, p < 0.01 (for MIA-690); F2/12 = 5.10, p < 0.005 and F2/12 = 12.97, p < 0.001 (for MR-409)]. In this context, MR-409 (1–5 μM) was more effective than MIA-690 in decreasing LPS-induced PGE2 and 8-iso-PGF2α levels [Fig. 1 panel A and B; F2/12 = 3.11, p < 0.05].
Inhibitory effects of MIA-690 and MR-409 on LPS-induced lactate dehydrogenase (LDH) and nitrite production in prefrontal cortex specimens
In order to evaluate potential effects of MIA-690 (1–5 μM) and MR-409 (1–5 μM) on oxidative stress biomarkers, we measured LPS-induced LDH and nitrite production in prefrontal cortex specimens treated with the peptides. LPS treatment induced a significant increase of LDH and nitrite production in prefrontal cortex specimens, as compared to vehicle treated controls. MIA-690 (1–5 μM) decreased LDH activity and nitrite levels in a dose-dependent manner [Fig. 2 panel A and B; F4/14 = 5.04, p < 0.01 and F4/14 = 3.89, p < 0.005]. Similarly, MR-409 (1–5 μM) inhibited LPS-induced LDH activity and nitrite levels, without showing a dose-dependent effect [Fig. 2 panel A and B; F4/12 = 4.47, p < 0.05 and F4/12 = 5.41, p < 0.01]. MIA-690 (1–5 μM) was more effective in decreasing LPS-induced LDH and nitrite production compared to MR-409 [Fig. 2 panel A and B; F4/14 = 3.11, p < 0.05 and F4/14 = 3.89, p < 0.005].
MIA-690 and MR-409 decrease LPS- induced cyclooxygenase-2 (COX-2), nuclear factor-kB (NF-kB) and inducible nitric oxide synthase (iNOS) gene expression in prefrontal cortex specimens
Real-time polymerase chain-reaction (PCR) revealed a significantly increase in COX-2, NF-kB and iNOS gene expression in prefrontal cortex specimens after LPS treatment, as compared to vehicle treated controls. The GHRH antagonist MIA-690 (1–5 μM) inhibited LPS-induced inflammatory markers in a dose-dependent manner in prefrontal cortex specimens [Fig. 3 panel A, B and C; F6/18 = 2.66, p < 0.05 and F6/18 = 6.01, p < 0.01]. Our findings also showed that the GHRH agonist MR-409 (1–5 μM) inhibited LPS-induced COX-2, NF-kB and iNOS gene expression in prefrontal cortex specimens, without a dose-dependent effect [Fig. 3 panel A, B and C; F5/15 = 2.90, p < 0.05]. MIA-690 (5 μM) was more effective than MR-409 in decreasing all the markers tested [Fig. 3 panel A, B and C; F6/18 = 2.66, p < 0.05].
Exploration behavioral analysis
Horizontal and vertical activity was recorded in the home cage over 10 min. MIA-690 (5 μg) or MR-409 (5 μg) was s.c. injected daily for 4 weeks in mice. Control animals received s.c. injection of vehicle [0.1% DMSO (Sigma) and 10% propylene glycol]. As shown in Fig. 4, s.c. administration of MIA-690 (5 μg) and MR-409 (5 μg) did not modify locomotor activity respect to vehicle injected animals. Two-way ANOVA did not show significant differences in horizontal (Fig. 4 panel A; 2 wk F2/27 = 3.27, p = 0.57; 4 wk F2/27 = 0.11, p = 0.89) and vertical activity (Fig. 4 panel B; 2 wk F2/27 = 3.15, p = 0.058; 4 wk F2/27 = 0.57, p = 0.56) at 2 and 4 weeks of treatment, with respect to controls.
Anxiety-like behavior
To evaluate the possible effects of MIA-690 (5 μg) and MR-409 (5 μg) on anxiety-like behavior, light-dark box and elevated plus maze test were used. The evaluations were performed at 2 and 4 weeks of treatment. We found that s.c. injection of MIA-690 (5 μg) or MR-409 (5 μg) decreased anxiety related behavior (Figs. 5 and 6) at 2 and 4 weeks of treatment, for MIA-690, and at 4 weeks of treatment for MR-409. Compared to vehicle, treatment with MIA-690 and MR-409 increased time spent in the light area [Fig. 5 panel A; 2 wk F9/9 = 2.73, p < 0.005; 4 wk F9/9 = 3.33, p < 0.005 (for MIA-690); 4 wk F9/9 = 1.64 p < 0.01 (for MR-409)] and open arms [Fig. 6 panel A; 2 wk F9/9 = 3.30, p < 0.005; 4 wk F9/9 = 2.56, p < 0.005 (for MIA-690); 4 wk F9/9 = 1.47, p < 0.05 (for MR-409)] in light-dark and elevated plus maze, respectively. Both peptides decreased latencies to emerge from enclosed dark compartment in the light-dark box [Fig. 5 panel B; 2 wk F9/9 = 2.21, p < 0.005; 4 wk F9/9 = 1.76 p < 0.005(for MIA-690); 4 wk F9/9 = 1.11, p < 0.01 (for MR-409)] and from the central zone in the elevated plus maze [Fig. 6 panel B; 2 wk F9/9 = 3.46, p < 0.005; 4 wk F9/9 = 23.61, p < 0.005 (for MIA-690); 4 wk F9/9 = 6.35, p < 0.01 (for MR-409)]. General activity, measured as the number of the total transitions, was not changed in both tests [Fig. 5 panel C; 2 wk F9/9 = 2.53, p = 0.18; 4 wk F9/9 = 3.61, p = 0.6 (for MIA-690); 2 wk F9/9 = 2.33, p = 0.22; 4 wk F9/9 = 1.45, p = 0.58 (for MR-409); Fig. 6 panel C; 2 wk F9/9 = 1.45, p = 0.58; 4 wk F9/9 = 3.61, p = 0.6 (for MIA-690); 2 wk F9/9 = 1.34, p = 0.6; 4 wk F9/9 = 1.58, p = 0.51 (for MR-409)].
In both tests, MIA-690 was more effective than MR-409 in decreasing anxiety related behavior [Fig. 5; 2 wk F2/27 = 26.87, p < 0.005; 4 wk F2/27 = 23.31, p < 0.05 (light area) and 2 wk F2/27 = 76.75, p < 0.005; 4 wk F2/27 = 23.31, p < 0.05 (latency to first exit) for light-dark exploration test] [Fig. 6; 2 wk F2/27 = 28.88, p = 0.001; 4 wk F2/27 = 30.59, p = 0.05 (open arms) and 2 wk F2/27 = 40.17, p < 0.005; 4 wk F2/27 = 76.64, p < 0.05 (latency to first exit) for elevated plus maze test].
Behavioral despair
To evaluate the possible effects of MIA-690 (5 μg) and MR-409 (5 μg) on behavioral despair, the tail suspension test was used. The evaluations were performed at 2 and 4 weeks of treatment. Figure 7 shows total immobility time in tail suspension test. MIA-690 (5 μg) and MR-409 (5 μg) s.c. injection induced a significant decrease of total immobility (Fig. 7) at 2 and 4 weeks of treatment, for MIA-690, and at 4 weeks of treatment for MR-409 [Fig. 7; 2 wk F9/7 = 11.10, p < 0.005; 4 wk F9/7 = 2.01, p < 0.005 (for MIA-690); 4 wk F9/7 = 16.14, p = 0.01 (for MR-409)]. In the tail suspension test, MIA-690 was more effective than MR-409 on inducing immobility (Fig. 7; 2 wk F2/23 = 52.48, p < 0.005; 4 wk F0/0 = 51.59, p = 0.05).
Monoamine levels in prefrontal cortex
To further evaluate the possible mechanisms involved in emotional behavior, we measured monoamine levels in prefrontal cortex by HPLC. Table 1 shows an increase in norepinephrine (NE) and serotonin (5-hydroxytryptamine, 5-HT) levels in prefrontal cortex of mice treated with MIA-690 (5 μg) and MR-409 (5 μg), [F3/9 = 6.99, p < 0.005 and F3/9 = 13.90, p < 0.001] without any affect on dopamine (DA) levels, as compared to controls [F2/27 = 3.27, p = 0.57]. In addition, the increase in NE and 5-HT levels was greater with MIA-690 respect to MR-409 [F3/9 = 3.86, p < 0.005].
Table 1.
NE | DA | 5-HT | |
---|---|---|---|
Vehicle | 0.09 ± 0.02 | 0.70 ± 0.18 | 0.34 ± 0.02 |
MIA-690 | 0.85 ± 0.05***,## | 0.72 ± 0.00 | 6.38 ± 1.32***,## |
MR-409 | 0.32 ± 0.50** | 0.77 ± 0.11 | 4.19 ± 0.23** |
Data are expressed as means ± S.E.M. and subjected to analysis of variance (ANOVA) followed by Bonferroni post-hoc test **p < 0.005,***p < 0.001 vs. vehicle; ##p < 0.005 vs. MR-409 treated mice.
MIA-690 and MR-409 decreased NF-kB, tumor necrosis factor-α (TNF-α) and interleukin (IL)-6 gene expression in mice prefrontal cortex
Real-time polymerase chain-reaction (PCR) revealed a significant decrease in NF-kB, TNF-α and IL-6 gene expression after MIA-690 (5 μg) and MR-409 (5 μg) treatment in prefrontal cortex, in mice [F2/16 = 2.85, p < 0.05 and F2/16 = 10.97, p < 0.001]. MIA-690 was more effective than MR-409 in decreasing NF-kB, TNF-α and IL-6 [Fig. 8 panel A, B and C; F5/16 = 2.85, p < 0.05].
Haematoxylin-eosin staining and immunohistochemical analysis of nuclear factor erythroid 2–related factor 2 (Nrf2) in mouse prefrontal cortex
Morphological features and detection of Nrf2 in prefrontal cortex have been analyzed by hematoxylin-eosin (H&E) staining and immunohistochemistry, respectively. H&E stained sections of the (a) control (ctrl), (b) MIA-690 and (c) MR-409 mice showed the normal histological structure of prefrontal cortex. The frontal cortex appeared laminated with six different layers of variable thickness that are blended with each other (Fig. 9, panel A: a, b and c).
Immunohistochemical examination revealed positive immunostaining for Nrf2 expression in mice exposed for 4 weeks to subcutaneous chronic treatment (a) positive vehicle (ctrl); (b) mice treated with MIA-690; (c) mice treated with MR-409 (Fig. 9, panel B: a, b, c and d). As compared to the control, increased Nrf2 immunostaining was detected in mice treated with MIA-690 or MR-409 [Fig. 9 panel C; F2/15 = 2.79, p < 0.05 and F2/15 = 11.34, p < 0.01]. Our findings also showed that MIA-690 increased immunoreactivity for Nrf2 respect to MR-409 [Fig. 9 panel C; F2/15 = 6.36, p < 0.01].
MR-409 induced down regulation of P GHRH-R gene and protein expression in prefrontal cortex
We finally evaluated the effects of MIA-690 (5 μg) and MR-409 (5 μg) treatment on P GHRH-R gene and protein expression in prefrontal cortex. Compared to vehicle treated mice, subcutaneous injection of MR-409 induced a significant reduction in P GHRH-R gene and protein expression in prefrontal cortex after 4 weeks of treatment [Fig. 10; F2/15 = 2.79, p < 0.005; Fig. 11; F2/6 = 0.79, p < 0.05] (Supplementary Figs. S1 and S2).
Discussion
GHRH and mRNAs for GHRH-R have been found in rat cortex and brain stem22,23, and various reports suggested that GHRH might play a key role in cognitive and mood disorders20,24–28. GHRH-antagonists compounds can exert powerful antitumor effects, possibly related in part to their antinflammatory and antioxidant properties17,29–33. In the present study we show that MIA-690, a GHRH antagonist, and MR-409, a GHRH analog, exhibit antinflammatory and antioxidant effects on prefrontal cortex specimens, ex vivo (Figs. 1, 2 and 3). Accordingly, various studies showed that GHRH and GHRH antagonists can influence the inflammatory and reduction/oxidation (redox) status in cancer and other tissues29,33.
In particular, MIA 690 decreased inflammation by reducing the infiltration of macrophages and leucocytes, the production of TNF-α, IL-1β, and monocyte chemotactic protein-1 (MCP-1) in tissue after insult with lipopolisaccaride (LPS) and the production of the pro-inflammatory markers in carrageenan-induced chronic prostatis31,32. In addition, MIA-690 showed antioxidant and neuroprotective properties28. In a model of Alzheimer’s disease as well as in cancer and other tissues, MR-409 has been described to exert antinflammatory and antioxidant effects, as well as in early experimental diabetic retinopathy31. In this context, the authors suggested that the protective effects of the MR-409 could be mediated by its direct and/or GH-mediated action.
In the present study, MIA-690 and MR-409 have been also able to modulate emotional behaviors, in mice. We observed that both peptides induced anxiolytic and antidepressant-like effects following chronic treatment, without affecting locomotor activity (Figs. 4–7). The role of GH in regulation of mood is somewhat contradictory and little is known about the action of GHRH on brain functions. Human studies indicate that in adults with childhood onset GH deficiency, long term treatment with GH improves mood and memory34. On the other hand, somatostatin, which inhibits the release of several hormones, including GH, reduces anxiety-like behavior35,36. Mood disorders might be related to GH deficiency37,38, however the anxiolytic-antidepressant effects of a GHRH antagonist, MZ-4-71, suggests that GHRH itself may be involved in control of behavior20,25–27. Similarly, our research group described anxiolytic and antidepressant-like behavior in both young and old mice with generalized ablation of the GHRH gene21,39,40. Thus, we can hypothesize that the beneficial behavioral effects of MIA-690 and MR-409 could be at least in part related to their antinflammatory and antioxidant effects (Figs. 8, 9), also described in different reports14,30–33. On the other hand, inflammation and oxidative stress are linked to a number of chronic diseases, including cancer, cardiovascular diseases, aging, neurodegenerative, and psychiatric disorders, such as anxiety and depression40–43. The activation of the inflammatory and oxidative stress response leads to the release of inflammatory cytokines and mobilization of immune cells that can get access to brain42,43. In particular, some studies have demonstrated an increase in pro-inflammatory markers, such as NF-kB, IL-1 and IL-6, in anxiety- and depression-related conditions44–46. In addition, major depression and posttraumatic stress disorder are characterized by an increased activity of pro-oxidants over antioxidants47,48. Cytokines and their signaling pathways have significant effect on the metabolism of multiple neurotransmitters such as 5-HT and DA through impact on their synthesis, release and reuptake. Through their effects on neurotransmitter systems, cytokines lead to significant changes in motor activity and motivation as well as anxiety, arousal and alarm49. In this context, we also evaluated monoamine levels and NF-kB, TNF-α and IL-6 gene expression in prefrontal cortex of mice, after chronic administration with MIA-690 and MR-409. We observed an increase of NE and 5-HT levels, paralleled by a decrease of inflammatory markers in both MIA-690 and MR-409 treated mice (Table 1; Fig. 8, panel A, B and C). In agreement, the anxiolytic-antidepressant activity of MZ-4-71 was previously suggested to be mediated by α1/α2-adrenergic and 5-HT1/5-HT2 serotonergic receptors25,26. Because several studies established a link between oxidative stress, anxiety and depression, we investigated the expression of Nrf2 in prefrontal cortex by immunohistochemistry. Nrf2 is a key transcription factor controlling various homoeostatic processes, at cellular level, in response to oxidative stress and toxic stimuli50 and regulating oxidative/xenobiotic stress response, also repressing inflammation51. Activation of Nrf2 results in up-regulation of cytoprotective and antioxidant enzymes-proteins in brain, by protecting against oxidative stress, in the brain50,51. Less Nfr2 signaling could reflect a “normalization” of oxidative parameters also evidenced from the molecular markers.
We found a significant increase of positive area percentage for Nrf2 in MIA-690 or MR-409 treated mice, suggesting an evident Nrf2 activation (Fig. 9). Surprisingly, both the agonist and the antagonist peptides induced similar effects in all experimental paradigms. However, we observed a higher efficacy of MIA-690 compared to MR-409. An accurate behavior analysis showed that MIA-690 was able to modulate emotional behavior beginning from week 2 of treatment, while MR-409 induced significant behavioral change only at week 4 of treatment. At the end of treatment, we found a reduction of P GHRH-R gene and protein expression in MR-409 treated mice (Figs. 10, 11) (Supplementary Figs. S1 and S2). As previously observed by Schally et al.16, our results confirmed that chronic administration of MR-409 results in a down-regulation of P GHRH-R, which could justify the effects of MR-409 on emotional behavior. On the other hand, we can not rule out the possible involvement of other mechanisms in emotional behavior induced by the peptide.
In conclusion, both MIA-690 and MR-409 exhibit antinflammatory and antioxidant effects in ex vivo and in vivo experimental models. Surprisingly, both agonist and antagonist peptides induce anxiolytic and antidepressant-like behavior, which could be related to increased cortical NE and 5-HT levels, along with modulatory effects on the inflammatory and oxidative status. Further investigations are needed to confirm a role for GHRH analogs in mood disorders.
Methods
Peptides and chemicals
The GHRH antagonist MIA-690 and agonist MR-409 were synthesized by R.C. and W.S. in the laboratory of one of us (A.V.S.). For ex vivo studies, the peptides were dissolved in DMSO to form a 5 mM solution, and then further diluted to the concentration indicated. For in vivo studies, the peptides were dissolved in an aqueous solution of 0.1% DMSO (Sigma) and 10% propylene glycol (Sigma-Aldrich, St. Louis, MO)16,28.
Animals
Adult C57/BL6 male mice (3 month- old, weight 20–25 g, n = 48) were housed in plexiglas cages (2–4 animals per cage; 55 × 33 × 19 cm) and maintained under standard laboratory (21 ± 2 °C; 55 ± 5% humidity) on a 14/10 h light/dark cycle, with ad libitum access to water and food. Only male mice were used to avoid any possible involvement of hormonal changes in adult female mice. Mice were fed with a standard rodent chow (Prolab RMH2500, PMI Nutrition International, Brentwood, MO). Housing conditions and experimentation procedures were strictly in agreement with the European Community ethical regulations (EU Directive n. 26/2014) on the care of animals for scientific research. In agreement with the recognized principles of “Replacement, Refinement and Reduction of Animals in Research”, prefrontal cortex specimens were obtained as residual material from vehicle-treated mice randomized in our previous experiments approved by Local Ethical Committee (‘G. d’Annunzio’ University, Chieti-Pescara) and Italian Health Ministry (Project n. 885/2018-PR).
Ex vivo studies
Mice were sacrificed by CO2 inhalation (100%CO2 at a flow rate of 20% of the chamber volume per min), then brains were rapidly removed. The brains were cut into blocks containing the entire prefrontal cortex, frozen on dry ice, and stored at −80 °C before serial cryosectioning at a section thickness of 100 μm. A stereotaxic atlas of the mouse brain (Paxinos and Watson) was used during the cryosectioning procedure52. Tissue slices were maintained in a humidified incubator with 5% CO2 at 37 °C for 4 h (incubation period), in RPMI buffer with added bacterial LPS (10 μg/mL), as previously described53. During the incubation period, the tissues were treated with MR-409 or MIA-690 (1–5 μM). Tissue supernatants were collected and PGE2 and 8-iso-PGF2α levels (pg/mg wet tissue) were measured by RIA, as previously reported54. Briefly, specific anti-PGE2 and anti-8-iso-PGF2α were developed in the rabbit; the cross-reactivity against other prostanoids was <0.3%. One hundred microliters of prostaglandin standard or sample was incubated overnight at 4 °C with the 3H-prostaglandin (3000 cpm/tube; NEN) and antibody (final dilution: 1:120 000; kindly provided by the late prof. G. Ciabattoni), in a volume of 1.5 mL of 0.025 M phosphate buffer. Free and antibody-bound prostaglandins were separated by the addition of 100 μL 5% bovine serum albumin and 100 μL 3% charcoal suspension, followed by centrifugation for 10 min at 4000 g at 5 °C and decanting off the supernatants into scintillation fluid (UltimaGold™, Perkin Elmer) for β emission counting. The detection limit of the assay method was 0.6 pg/mL.
Tissue supernatants were also assayed for nitrite determination by Griess assay, as previously described55. Briefly, nitrite production was determined by mixing 50 μL of the assay buffer with 50 μL of Griess reagent (1.5% sulfanilamide in 1 M HCl plus 0.15% N-(1-naphthyl) ethylenediamine dihydrochloride in distilled water, v/v). After incubation for 10 min, at room temperature, the absorbance at 540 nm was determined and nitrite concentrations were calculated from a standard curve for sodium nitrite.
Tissue supernatants were also assayed for lactate dehydrogenase (LDH) activity55. LDH activity was measured by evaluating the consumption of NADH in 20 mM HEPES-K + (pH 7.2), 0.05% bovine serum albumin, 20 μM NADH and 2 mM pyruvate using a microplate reader (excitation 340 nm, emission 460 nm) according to manufacturer’s protocol (Sigma-Aldrich, St. Louis, MO). LDH activity was measured by evaluating the consumption of NADH in 20 mM HEPES-K + (pH 7.2), 0.05% bovine serum albumin, 20 μM NADH and 2 mM pyruvate using a microplate reader (excitation 340 nm, emission 460 nm) according to manufacturer’s protocol. Nitrite and LDH production data were expressed as relative variations compared to vehicle-treated specimens. Immediately after sacrifice, prefrontal cortex was rapidly removed, dissected and stored in RNAlater solution (Ambion, Austin, TX) at −20 °C until further processed. Total RNA was extracted from the prefrontal cortex using TRI Reagent (Sigma-Aldrich), according to the manufacturer’s protocol. One microgram of total RNA extracted from each sample in a 20 μl reaction volume was reverse transcribed using High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). The samples were incubated in a 2720 Thermal Cycler (Applied Biosystems) initially at 25 °C for 10 min, then at 37 °C for 120 min, and finally at 85 °C for 5 s. Gene expression of COX-2, NF-kB and iNOS was determined by quantitative real-time PCR using TaqMan probe-based chemistry (Applied Biosystems), as previously described56,57. PCR primers and TaqMan probes were obtained from Applied Biosystems (Assays-on-Demand Gene Expression Products, Mm00478374_m1 for COX-2 gene, Mm00476361_m1 for NF-kB gene, Mm00440502_m1 for iNOS gene, Mm00607939_s1 for β-actin gene. β-actin was used as the housekeeping gene. Gene expression data were calculated as previously reported58.
In vivo studies
After 2-week acclimation, mice were randomized into three groups and treated daily for 4 weeks by subcutaneous administration of GHRH antagonist MIA 690 (5 μg), GHRH agonist MR 409 (5 μg) or vehicle solution18. All solutions were prepared freshly before use.The doses were selected based on previous studies including oncology. Injection volume was 0.1 ml for s.c. injection16,18. The animals were brought into the experimental room 30 min prior to the test in order to acclimate to the environment, and were kept in the testing chamber for 5 min prior to each test.
All treatments were administered at 09:00 am, and the experiments performed between 10:00 and 12:00 am. Each test session was recorded by a video camera connected to a computer; a single video frame was acquired with a highly accurate, programmable, monochrome frame grabber board (Data TranslationTM, type DT3153). The intelligent software Smart version 2.5 (Panlab, sl Bioresearch and Technology, Barcelona, Spain) was used for data processing. The apparatuses were purchased from 2 Biological Instruments (Besozzo VA, Italy)21,39. At the end of each test, the animals were returned to their home cages, and the apparatus was cleaned with 75% ethanol and dried before the next procedure. The behavioral parameters were recorded at 2 and then 4 weeks after the first treatment. Each test was conducted on the same group of animals (n = 18 animals for each group of treatment), after a 2 weeks rest period to avoid any interference on behavioral test performance, as previously reported21.
Locomotor activity
Locomotor activity was recorded in the home cage over 10 min. The activity monitor consisted of a black and white video camera, mounted in the top-centre of a cage (35 × 20 × 13 cm), positioned in the enclosure. Measurements used to assess locomotor activity were horizontal activity and vertical activity59.
Light–dark exploration test
The light–dark box test assesses bright-space related anxiety59,60 and consists of two compartments (10 × 15 × 20 cm, each), dark and light ones, separated by a wall pierced with an open door. The dark compartment has opaque black walls, while the light compartment is transparent to light. Mice were placed in the black compartment, and time spent by the animal in the light compartment, latency of first exit from dark compartment, and number of transitions between compartments were recorded during a 10 min interval.
Elevated plus maze test
The apparatus consisted of two open arms and two closed arms that extended from a common central platform, elevated to a height of 45 cm above floor level and mice were individually placed in the centre of the maze facing an open arm40,61. The time spent on open arms, the latency to first exit and the number of transitions between the arms were recorded during a 10 min test period.
Tail suspension test
This test is well characterized for assessing antidepressant-like activity. Mice were individually suspended by the tail to a horizontal bar (at the height of 30 cm from floor) using adhesive tape. Immobility time was recorded during a 6 min period. Mice were considered immobile only when they hung passively and completely motionless21,39.
Prefrontal cortex monoamine extraction and high performance liquid chromatography (HPLC) determination
Immediately after sacrifice, brains were rapidly removed and prefrontal cortex were dissected and subjected to biogenic amine extractive procedures. Thereafter, samples were analyzed by HPLC coupled to electrochemical detection consisting of ESA Coulochem III detector equipped with ESA 5014 B analytical cell (selected potentials: electrode 1:−150 mV; electrode 2: +300 mV), as previously reported40,59. Monoamine levels were expressed as ng/mg wet tissue.
RNA extraction, reverse transcription and real-time reverse transcription polymerase chain reaction (PCR-RT)
Prefrontal cortex was rapidly removed, dissected and stored in RNAlater solution (Ambion, Austin, TX) at −20 °C until further processed as previously described. Gene expression of NF-kB, TNF-α, IL-6 and P GHRH-R was determined by quantitative real-time PCR using TaqMan probe-based chemistry (Applied Biosystems, Foster City, CA, USA). PCR primers and TaqMan probes were obtained from Applied Biosystems (Assays-on-Demand Gene Expression Products, Mm00476361_m1 for NF-kB gene, Mm00443258_m1 for TNF-α gene, Mm00446190_m1 for IL-6 gene, Mm01326479_m1 for P GHRH-R gene, Mm00607939_s1 for β-actin gene. β-actin was used as the housekeeping gene. Gene expression data were calculated as previously reported58.
Light microscopy analysis and immunohistochemistry
Prefrontal cortex was fixed in 10% phosphate-buffered formalin for 2.5 hours. Each tissue block was dehydrated in a series of alcohol solutions of 50%, 70%, 96% and 99% and then in Bioclear. Samples were then paraffin-embedded and cut into 7 μm-thick sections. Sections were de-waxed (Bioclear and alcohol in progressively lower concentrations), rehydrated and processed for haematoxylin-eosin and for anti-Nrf2 immunohistochemical analysis according to manufacturer protocol. Primary antibody anti-Nfr2 (rabbit polyclonal, sc-722, Santa Cruz Biotechnology, CA, USA) was applied for 2 hours at room temperature and diluted 1:200 in PBS. The immunohistochemical reactions was revealed with Rabbit specific HRP/DAB detection IHC kit (ab236469). Peroxidase reaction was developed using diaminobenzidine (DAB) chromogen and nuclei were counterstained with haematoxylin. Lastly, sections were dehydrated, cleared with xylene and mounted in Bio Mount (Bio Optica, Milano, Italy). Negative control was performed by omitting the primary antibody. Samples were then observe by means of LEICA DM 4000 light microscopy (Leica Cambridge Ltd., Cambridge, UK) equipped with a Leica DFC 320 camera (Leica Cambridge Ltd.) for computerized images62,63.
Western blot analysis
Cortex samples obtained from mice treated or not with MIA-690 or MR-409 were homogenized in RIPA buffer (Sigma-Aldrich), sonicated and centrifuged at 14,000 rpm (4 °C for 15 min). Total protein lysates were quantified with Bicinchoninic Acid kit (BCA) from Sigma-Aldrich. Proteins (35 μg) were separated by 10% SDS-PAGE, transferred to a nitrocellulose membrane and incubated overnight at 4 °C with the specific P GHRH-R antibody (dilution 1:500, rabbit polyclonal P GHRH-R antibody, Abcam, ab76263). Blots were reprobed with actin (dilution 1:500, mouse monoclonal actin antibody, Santa Cruz Biotechnology, sc-376421) for protein normalization. Immunoreactive proteins were visualized using horseradish peroxidase-conjugated goat anti-mouse, goat anti-rabbit or mouse anti-goat (1:4000) secondary antibodies by enhanced chemiluminescence substrate (ECL) using ChemiDoc XRS (Bio-Rad), densitometric analysis was performed with Quantity One software (Bio-Rad)18.
Statistical analysis
Statistical analysis was performed using GraphPad Prism version 5.01 for Windows (GraphPad Software, San Diego, CA, USA). All data were collected from each of the animals used in the experimental procedure and means ± SEM were determined for each experimental group and analyzed by two way analysis of variance (ANOVA) followed by Bonferroni post-hoc test. F values are referring to repeated measure 2-way ANOVA. As for gene expression analysis, 1.00 (calibrator sample) was considered the theoretical mean for the comparison. Statistical significance was accepted at p < 0.05. As regards gene expression analysis, the comparative 2−ΔΔCt method was used to quantify the relative abundance of mRNA and then to determine the relative changes in individual gene expression (relative quantification)58. Finally, as regards the animals randomized for each experimental group, the number was calculated on the basis of the ‘Resource Equation’ N = (E + T)/T (10 ≤ E ≤ 20)64 according to the guidelines suggested by the ‘National Centre for the Replacement, Refinement and Reduction of Animals in Research’ (NC3RS) and reported on the following web site: https://www.nc3rs.org.uk/experimental-designstatistics.
Supplementary information
Acknowledgements
This work was supported by the University G. d’Annunzio of Chieti FAR 2019 (to Sheila Leone). Work in Miami was supported by the Medical Research Service of the Department of Veterans Affairs and by the University of Miami Miller School of Medicine.
Author contributions
L.R., A.C., L.B., A.V.S. and S.L. conceived and coordinated the study and wrote the paper. R.C., W.S., and A.V.S. contributed new reagents. L.R., A.C., G.O., C.F., G.D.M., I.G., R.G. and S.L. performed the experiments and analyzed the data. All authors reviewed the results and approved the final version of the manuscript.
Competing interests
A.V.S. and R.C. work has been funded by Medical Research Service of the Department of Veterans Affairs and by the University of Miami Miller School of Medicine. A.V.S. and R.C. are listed as co-inventors on patents for GHRH agonists and GHRH antagonists, assigned to the University of Miami, Miami, FL, and the Veterans Affairs Medical Center, Miami, FL. L.R., A.C., G.O., C.F., G.D.M., I.G., R.G., W.S., L.B. and S.L. declare no potential conflict of interest.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Luigi Brunetti, Email: luigi.brunetti@unich.it.
Sheila Leone, Email: sheila.leone@unich.it.
Supplementary information
is available for this paper at 10.1038/s41598-019-57292-z.
References
- 1.Barabutis N, Schally AV. Growth hormone-releasing hormone: extrapituitary effects in physiology and pathology. Cell. Cycle. 2010;9:4110–4116. doi: 10.4161/cc.9.20.13787. [DOI] [PubMed] [Google Scholar]
- 2.Murray PG, Higham CE, Clayton PE. 60 years of neuroendocrinology: The hypothalamo-GH axis: the past 60 years. J. Endocrinol. 2015;226:T123–T140. doi: 10.1530/JOE-15-0120. [DOI] [PubMed] [Google Scholar]
- 3.Van Dam PS, et al. Growth hormone, insulin-like growth factor I and cognitive function in adults. Growth Horm. IGF Res. 2000;10(Suppl. B):S69–S73. doi: 10.1016/s1096-6374(00)80013-1. [DOI] [PubMed] [Google Scholar]
- 4.Le Bouc, Y., Gicquel, C. & Holzenberger, M. Physiology of somatotropic axis: interest of gene inactivation experiments Bull. Acad. Natl. Med. 187, 1225-1243; discussion 1244–1247 (2003). [PubMed]
- 5.Granata R. Peripheral activities of growth hormone-releasing hormone. J. Endocrinol. Invest. 2016;39:721–727. doi: 10.1007/s40618-016-0440-x. [DOI] [PubMed] [Google Scholar]
- 6.Frohaman LA, Kineman RD. Growth hormone-releasing hormone and pituitary development, hyperplasia and tumorigenesis. Trends Endocrinol Metab. 2002;13:299–303. doi: 10.1016/S1043-2760(02)00613-6. [DOI] [PubMed] [Google Scholar]
- 7.Kiaris H, et al. Ligand-dependent and -independent effects of splice variant 1 of growth hormone-releasing hormone receptor. Proc. Natl. Acad. Sci. USA. 2003;100:9512–9517. doi: 10.1073/pnas.1533185100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lin-Su K, Wajnrajch MP. Growth hormone releasing hormone (GHRH) and the GHRH receptor. Rev. Endocr. Metab. Disord. 2002;3:313–323. doi: 10.1023/A:1020949507265. [DOI] [PubMed] [Google Scholar]
- 9.Christodoulou C, et al. Expression of growth hormone-releasing hormone (GHRH) and splice variant of GHRH receptors in normal mouse tissues. Regul. Pept. 2006;136:105–108. doi: 10.1016/j.regpep.2006.05.001. [DOI] [PubMed] [Google Scholar]
- 10.Zarandi M, et al. Synthesis and biological activities of highly potent antagonists of growth hormone-releasing hormone. Proc. Natl. Acad. Sci. USA. 1994;91:12298–12302. doi: 10.1073/pnas.91.25.12298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Izdebski J, et al. Synthesis and biological evaluation of superactive agonists of growth hormone-releasing hormone. Proc. Natl. Acad. Sci. USA. 1995;92:4872–4876. doi: 10.1073/pnas.92.11.4872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Varga JL, et al. Increased activity of antagonists of growth hormone-releasing hormone substituted at positions 8, 9, and 10. Proc. Natl. Acad. Sci. USA. 2004;101:1708–1713. doi: 10.1073/pnas.0307288101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Schally AV, Varga JL, Engel JB. Antagonists of growth-hormone-releasing hormone: an emerging new therapy for cancer. Nat. Clin. Pract. Endocrinol. Metab. 2008;4:33–43. doi: 10.1038/ncpendmet0677. [DOI] [PubMed] [Google Scholar]
- 14.Cai R, et al. Synthesis of new potent agonistic analogs of growth hormone-releasing hormone (GHRH) and evaluation of their endocrine and cardiac activities. Peptides. 2014;52:104–112. doi: 10.1016/j.peptides.2013.12.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zarandi M, et al. Synthesis and structure-activity studies on novel analogs of human growth hormone releasing hormone (GHRH) with enhanced inhibitory activities on tumor growth. Peptides. 2017;89:60–70. doi: 10.1016/j.peptides.2017.01.009. [DOI] [PubMed] [Google Scholar]
- 16.Schally AV, et al. Agonists of growth hormone-releasing hormone (GHRH) inhibit human experimental cancers in vivo by down-regulating receptors for GHRH. Proc. Natl. Acad. Sci. USA. 2018;115:12028–12033. doi: 10.1073/pnas.1813375115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Schally AV, et al. Actions and potential therapeutic applications of growth hormone-releasing hormone agonists. Endocrinology. 2019;160:1600–1612. doi: 10.1210/en.2019-00111. [DOI] [PubMed] [Google Scholar]
- 18.Villanova T, et al. Antagonists of growth hormone-releasing hormone (GHRH) inhibit the growth of human malignant pleural mesothelioma. Proc. Natl. Acad. Sci. USA. 2019;116:2226–2231. doi: 10.1073/pnas.1818865116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Nair D, et al. Growth hormone releasing hormone (GHRH) signaling modulates intermittent hypoxia-induced oxidative stress and cognitive deficits in mouse. J. Neurochem. 2013;127:531–540. doi: 10.1111/jnc.12360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Tanaka M, Schally AV, Telegdy G. Neurotransmission of the antidepressant-like effects of the growth hormone-releasing hormone antagonist MZ-4-71. Behav. Brain Res. 2012;228:388–391. doi: 10.1016/j.bbr.2011.12.022. [DOI] [PubMed] [Google Scholar]
- 21.Leone S, et al. Behavioural phenotyping of male growth hormone-releasing hormone (GHRH) knockout mice. Growth Horm. Res. 2014;24:192–197. doi: 10.1016/j.ghir.2014.06.004. [DOI] [PubMed] [Google Scholar]
- 22.Müller EE, Locatelli V, Cocchi D. Neuroendocrine control of growth hormone secretion. Physiol Rev. 1999;79:511–607. doi: 10.1152/physrev.1999.79.2.511. [DOI] [PubMed] [Google Scholar]
- 23.Matsubara S, Sato M, Mizobuchi M, Niimi M, Takahara J. Differential gene expression of growth hormone (GH)-releasing hormone (GRH) and GRH receptor in various rat tissues. Endocrinology. 1995;136:4147–4150. doi: 10.1210/endo.136.9.7649123. [DOI] [PubMed] [Google Scholar]
- 24.Hallschmid M, Wilhelm I, Michel C, Perras B, Born J. A role for central nervous growth hormone-releasing hormone signaling in the consolidation of declarative memories. PLoS One. 2011;6:e23435. doi: 10.1371/journal.pone.0023435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Telegdy G, Tanaka M, Schally AV. Effects of the growth hormone-releasing hormone (GH-RH) antagonist on brain functions in mice. Behav. Brain Res. 2011;24:155–158. doi: 10.1016/j.bbr.2011.05.036. [DOI] [PubMed] [Google Scholar]
- 26.Telegdy G, Schally AV. Involvement of neurotransmitters in the action of growth hormone-releasing hormone antagonist on passive avoidance learning. Behav. Brain Res. 2012;233:326–330. doi: 10.1016/j.bbr.2012.05.030. [DOI] [PubMed] [Google Scholar]
- 27.Telegdy G, Schally AV. Neurotransmitter-mediated action of an antagonist of growth hormone-releasing hormone on anxiolysis in mice. Behav. Brain Res. 2012;233:232–236. doi: 10.1016/j.bbr.2012.04.011. [DOI] [PubMed] [Google Scholar]
- 28.Jaszberenyi M, et al. Beneficial effects of novel antagonists of GHRH in different models of Alzheimer’s disease. Aging (Albany NY) 2012;4:755–767. doi: 10.18632/aging.100504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Barabutis N, Schally AV. Antioxidant activity of growth hormone-releasing hormone antagonists in LNCaP human prostate cancer line. Proc. Natl. Acad. Sci. USA. 2008;105:20470–20475. doi: 10.1073/pnas.0811209106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Banks WA, et al. Effects of a growth hormone-releasing hormone antagonist on telomerase activity, oxidative stress, longevity, and aging in mice. Proc. Natl. Acad. Sci. USA. 2010;107:22272–22277. doi: 10.1073/pnas.1016369107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Thounaojam MC, et al. Protective effects of agonists of growth hormone-releasing hormone (GHRH) in early experimental diabetic retinopathy. Proc. Natl. Acad. Sci. USA. 2017;114:13248–13253. doi: 10.1073/pnas.1718592114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Popovics P, Cai R, Sha W, Rick FG, Schally AV. Growth hormone-releasing hormone antagonists reduce prostatic enlargement and inflammation in carrageenan-induced chronic prostatitis. Prostate. 2018;78:970–980. doi: 10.1002/pros.23655. [DOI] [PubMed] [Google Scholar]
- 33.Barabutis N, Schally AV, Siejka A. P53, GHRH, inflammation and cancer. EBioMedicine. 2018;37:557–562. doi: 10.1016/j.ebiom.2018.10.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Arwert LI, Deijen JB, Müller M, Drent ML. Long-term growth hormone treatment preserves GH-induced memory and mood improvements: a 10-year follow-up study in GH-deficient adult men. Horm. Behav. 2005;47:343–349. doi: 10.1016/j.yhbeh.2004.11.015. [DOI] [PubMed] [Google Scholar]
- 35.Engin E, Stellbrink J, Treit D, Dickson CT. Anxiolytic and antidepressant effects of intracerebroventricularly administered somatostatin: behavioral and neurophysiological evidence. Neuroscience. 2008;157:666–676. doi: 10.1016/j.neuroscience.2008.09.037. [DOI] [PubMed] [Google Scholar]
- 36.Engin E, Treit D. Anxiolytic and antidepressant actions of somatostatin: the role of sst2 and sst3 receptors. Psychopharmacology (Berl) 2009;206:281–289. doi: 10.1007/s00213-009-1605-5. [DOI] [PubMed] [Google Scholar]
- 37.Prodam F, et al. Quality of life, mood disturbances and psychological parameters in adult patients with GH deficiency. Panminerva Medica. 2012;54:323–331. [PubMed] [Google Scholar]
- 38.Kokhoorn NE, et al. GH replacement therapy in elderly GH deficient patients: a systematic review. Eur. J. Endocrinol. 2011;164:657–665. doi: 10.1530/EJE-10-1170. [DOI] [PubMed] [Google Scholar]
- 39.Leone S, et al. Increased locomotor and thermogenic activity in mice with targeted ablation of the GHRH gene. Growth Horm. Res. 2015;25:80–84. doi: 10.1016/j.ghir.2014.12.007. [DOI] [PubMed] [Google Scholar]
- 40.Leone S, et al. Behavioural phenotyping, learning and memory in young and aged growth hormone-releasing hormone-knockout mice. Endocr Connect. 2018;7:924–931. doi: 10.1530/EC-18-0165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Biswas SK. Does the interdependence between stress and inflammation explain the antioxidant paradox? Oxid. Med. Cell. Longev. 2016;2016:5698931. doi: 10.1155/2016/5698931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Raison CL, Capuron L, Miller AH. Cytokines sing the blues: inflammation and the pathogenesis of depression. Trends Immunol. 2006;27:24–31. doi: 10.1016/j.it.2005.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol. Psychiatry. 2009;65:732–741. doi: 10.1016/j.biopsych.2008.11.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Pace TW, et al. Increased peripheral NF-kappaB pathway activity in women with childhood abuse-related posttraumatic stress disorder. Brain Behav. Immun. 2012;26:13–17. doi: 10.1016/j.bbi.2011.07.232. [DOI] [PubMed] [Google Scholar]
- 45.Dowlati Y, et al. A meta-analysis of cytokines in major depression. Biol. Psychiatry. 2010;67:446–57. doi: 10.1016/j.biopsych.2009.09.033. [DOI] [PubMed] [Google Scholar]
- 46.Howren MB, Lamkin DM, Suls J. Associations of depression with C-reactive protein, IL-1, and IL-6: a meta-analysis. Psychosom. Med. 2009;71:171–186. doi: 10.1097/PSY.0b013e3181907c1b. [DOI] [PubMed] [Google Scholar]
- 47.Ogłodek EA, Just MJ. The association between inflammatory markers (iNOS, HO-1, IL-33, MIP-1β) and depression with and without posttraumatic stress disorder. Pharmacol. Rep. 2018;70:1065–1072. doi: 10.1016/j.pharep.2018.06.001. [DOI] [PubMed] [Google Scholar]
- 48.Salim S. Oxidative stress and psychological disorders. Curr. Neuropharmacol. 2014;12:140–147. doi: 10.2174/1570159X11666131120230309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Miller AH, Haroon E, Raison CL, Felger JC. Cytokine targets in the brain: impact on neurotransmitters and neurocircuits. Depress. Anxiety. 2013;30:297–306. doi: 10.1002/da.22084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Ma Q. Role of nrf2 in oxidative stress and toxicity. Annu. Rev. Pharmacol. Toxicol. 2013;53:401–426. doi: 10.1146/annurev-pharmtox-011112-140320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Kobayashi EH, et al. Nrf2 suppresses macrophage inflammatory response by blocking proinflammatory cytokine transcription. Nat. Commun. 2016;7:11624. doi: 10.1038/ncomms11624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Paxinos and Watson, 2007, The Rat Brain in Stereotaxic Coordinates, G. Paxinos and C. Watson, (Sixth Edition), 170, pp. 547–612, Elsevier Acad. Press (2007).
- 53.Recinella L, et al. Protective Effects Induced by Two Polyphenolic Liquid Complexes from Olive (Olea europaea, mainly Cultivar Coratina) Pressing Juice in Rat Isolated Tissues Challenged with LPS. Molecules. 2019;24:E3002. doi: 10.3390/molecules24163002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Chiavaroli A, et al. Crocus sativus, Serenoa repens and Pinus massoniana extracts modulate inflammatory response in isolated rat prostate challenged with LPS. J. Biol. Regul. Homeost. Agents. 2017;31:531–541. [PubMed] [Google Scholar]
- 55.Ferrante C, et al. Multiple pharmacognostic characterization on hemp commercial cultivars: Focus on inflorescence water extract activity. Food Chem. Toxicol. 2019;125:452–461. doi: 10.1016/j.fct.2019.01.035. [DOI] [PubMed] [Google Scholar]
- 56.Ferrante C, et al. Central apelin-13 administration modulates hypothalamic control of feeding. J. Biol. Regul. Homeost. Agents. 2016;30:883–888. [PubMed] [Google Scholar]
- 57.Recinella L, et al. Effects of isolated GH deficiency on adipose tissue, feeding and adipokines in mice. Growth Horm. IGF Res. 2013;23:237–242. doi: 10.1016/j.ghir.2013.08.004. [DOI] [PubMed] [Google Scholar]
- 58.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real- time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
- 59.Leone S, et al. Emotional disorders induced by Hemopressin and RVD-hemopressin(α) administration in rats. Pharmacol. Rep. 2017;69:1247–1253. doi: 10.1016/j.pharep.2017.06.010. [DOI] [PubMed] [Google Scholar]
- 60.Chiavaroli A, et al. Effects of central fibroblast growth factor 21 and irisin in anxiety-like behavior. J. Biol. Regul. Homeost. Agents. 2017;31:797–802. [PubMed] [Google Scholar]
- 61.Recinella L, et al. Effects of central RVD-hemopressin(α) administration on anxiety, feeding behavior and hypothalamic neuromodulators in the rat. Pharmacol. Rep. 2018;70:650–657. doi: 10.1016/j.pharep.2018.01.010. [DOI] [PubMed] [Google Scholar]
- 62.Mazzatenta A, et al. Coexpression of Galanin and Nestin in the Chemoreceptor Cells of theHuman Carotid Body. Adv. Exp. Med. Biol. 2016;885:77–82. doi: 10.1007/5584_2015_189. [DOI] [PubMed] [Google Scholar]
- 63.Di Giulio C, et al. Selective Expression of Galanin in Neuronal-Like Cells of theHuman Carotid Body. Adv. Exp. Med. Biol. 2015;860:315–323. doi: 10.1007/978-3-319-18440-1_36. [DOI] [PubMed] [Google Scholar]
- 64.Charan J, Kantharia ND. How to calculate sample size in animal studies? J. Pharmacol. Pharmacother. 2013;4:303–306. doi: 10.4103/0976-500X.119726. [DOI] [PMC free article] [PubMed] [Google Scholar]
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