NANOSYSTEM BASED ON MICRORNA FOR TREATING OBSESITY
20220170019 · 2022-06-02
Inventors
- Said LHAMYANI (Málaga, ES)
- Adriana MARIEL GENTILE (Málaga, ES)
- Francisco José TINAHONES MADUEÑO (Málaga, ES)
- Rajaa EL BEKAY RIZKY (Málaga, ES)
- Rosa María GIRÁLDEZ PÉREZ (Málaga, ES)
- Elia María GRUESO MOLINA (Sevilla, ES)
- Mª Pilar PÉREZ TEJEDA (Sevilla, ES)
Cpc classification
A61K47/00
HUMAN NECESSITIES
A61K45/06
HUMAN NECESSITIES
C12N15/113
CHEMISTRY; METALLURGY
C12N2320/32
CHEMISTRY; METALLURGY
B82Y5/00
PERFORMING OPERATIONS; TRANSPORTING
A61K31/7105
HUMAN NECESSITIES
A61K2300/00
HUMAN NECESSITIES
A61K2300/00
HUMAN NECESSITIES
A61K47/6929
HUMAN NECESSITIES
A61K47/6923
HUMAN NECESSITIES
A61K31/7105
HUMAN NECESSITIES
International classification
C12N15/113
CHEMISTRY; METALLURGY
A61K31/7105
HUMAN NECESSITIES
A61K47/00
HUMAN NECESSITIES
Abstract
The present invention relates to compositions, methods and uses, consisting of a functionalised miRNA-based nanosystem for treating obesity, weight loss and/or reduction of localised fat, which comprises miR-21 or other derived or equivalent compounds such as modified polynucleotides, synthetic mimetic and/or isomiR of miR-21; and a carrier which comprises an optimised nanoparticle for effectively binding oligonucleotides, forming an adequate nanosystem for in vivo transfection and, in particular, for the in vivo release of genes in fatty tissue.
Claims
1. A functionalised nanosystem for transporting biologically active molecules comprising: (a) a biologically active molecule which is selected from the miR-21 microRNA, mimetic, isomiR, oligonucleotide molecule with more than 75% sequence similarity, compounds aimed at increasing the transcription or activity of miR-21 or a source thereof, or any of the combinations thereof; and (b) a pharmaceutically acceptable carrier comprising a nanoparticle and a transporter molecule capable of linking oligonucleotides.
2. The nanosystem according to the preceding claim, wherein the biologically active molecule and the nanoparticle are bound to the transporter molecule independently. Both bonds can be either a covalent bond or a non-covalent bond. Generally, by means of electrostatic interactions, hydrophobic interactions, surface adsorption, encapsulation or intercalated inside same.
3. The nanosystem according to any of the preceding claims, wherein the biologically active molecule and the nanoparticle are bound to the transporter molecule independently by means of non-covalent bond which can be: electrostatic interactions, hydrophobic interactions, surface adsorption, encapsulation or intercalated inside same.
4. The nanosystem according to any of the preceding claims, wherein the nanoparticle comprises a cationic metal core.
5. The nanosystem according to any of the preceding claims, wherein the cationic metal core is a cationic gold core.
6. The nanosystem according to any of the preceding claims, wherein the mean size of the nanoparticles is comprised between 1 and 20 nanometres.
7. The nanosystem according to claim 6, wherein the mean size of the nanoparticles is comprised between 3 and 7 nanometres and/or the mean size of the nanosystem is comprised between 30 and 80 nanometres.
8. The nanosystem according to any of the preceding claims, wherein the transporter molecule of the nanosystem is a cationic surfactant.
9. The nanosystem according to any of the preceding claims, wherein the transporter molecule is a Gemini cationic surfactant.
10. The nanosystem according to claim 9, wherein the Gemini surfactant is 16-3-16.
11. The nanosystem according to claim 10, wherein the mean size of the nanoparticle is comprised between 3 and 4 nanometres and/or the mean size of the nanosystem is comprised between 30 and 80 nanometres.
12. The nanosystem according to claim 9, wherein the Gemini surfactant is 16-Ph-16.
13. The nanosystem according to any of claim 12, wherein the mean size of the nanoparticle is comprised between 5 and 6 nanometres and/or the mean size of the nanosystem is comprised between 40 and 60 nanometres.
14. A composition comprising at least one nanosystem according to claims 1-13.
15. The composition according to the preceding claim, which is a pharmaceutical composition.
16. The nanosystem according to any of claims 1-13 or a composition according to claims 14-15, for use as a medicinal product.
17. The nanosystem or composition according to the preceding claim for preventing, delaying, mitigating, reversing, curing and/or treating a metabolic disease; wherein the metabolic disease is selected from the list consisting of: amyloidosis, cardiometabolic disease, dehydration, diabetes (type 1, type 2, diabetic foot ulcers, diabetic macular oedema, diabetic neuropathy, diabetic retinopathy, diabetic nephropathy, gestational diabetes, dyslipidaemia, hyperlipidaemia), glucose intolerance, hypercholesterolaemia, hyperglycaemia, hyperinsulinaemia, or insulin resistance, hyperkalaemia, hypoglycaemia, hypopotassaemia, lipodystrophy (lipoatrophy), metabolic syndrome, obesity, osteopenia, osteoporosis (including postmenopausal osteoporosis), phenylketonuria (PKU), hypersecretion of pituitary ACTH (Cushing's syndrome) and Pompe disease.
18. The nanosystem or composition according to the preceding claim, wherein the metabolic disease is selected from obesity, overweight and hyperinsulinaemia, or insulin resistance.
19. The nanosystem according to any of claims 1-13 or the composition according to claims 14-15 for preventing, delaying, mitigating, reversing, curing and/or treating a disease associated with body weight gain. More preferably, the disease associated with body weight gain is selected from the list consisting of hypothyroidism, Cushing's syndrome, hypogonadism, hypothalamic lesions, growth hormone deficiency, Prader-Willi syndrome, Bardet-Biedl syndrome, Cohen syndrome, MOMO syndrome, anxiety and depression; or any of the combinations thereof.
20. A kit-of-parts comprising: (a) a nanosystem according to claims 1-13 or a composition according to claims 14-15; and (b) a medicinal product which is selected from: (b1) a medicinal product associated with weight gain which is selected from the list consisting of: atenolol, carbamazepine, citalopram, clozapine, doxazosin mesylate, doxepin, escitalopram, fluvoxamine, gabapentin, gamma-hydroxybutyric acid, leuprolide, lithium, metoprolol, mirtazapine, nateglinide, nortriptyline, olanzapine, paroxetine, pioglitazone, propranolol, quetiapine, repaglinide, risperidone, terazosin, valproate and phenytoin; or (b2) a medicinal product for obesity approved in a national agency which is selected from the list consisting of: megestrol acetate, benzphetamine, caffeine, cathinone, cetilistat, clobenzorex, chlorphentermine hydrochloride, dexfenfluramine hydrochloride, diethylpropion hydrochloride, fenfluramine hydrochloride, phenmetrazine hydrochloride, phentermine hydrochloride, lorcaserin hydrochloride, mefenorex hydrochloride, sibutramine hydrochloride, dronabinol, phendimetrazine, fenfluramine, phenylpropanolamine, fenproporex, phentermine, fluoxetine, levocarnitine, levothyroxine sodium, mazindol, methamphetamine, methylcellulose, orlistat, phendimetrazine, rimonabant, Saxenda, sibutramine, amphetamine sulfate, phendimetrazine tartrate, “bupropion hydrochloride+naltrexone”, “phentermine hydrochloride+topiramate”, “levocarnitine+sibutramine” and “metformin+sibutramine”; or (b3) a medicinal product for obesity in the clinical development phase which is selected from the list consisting of: Adipotide, AKR-001, AM-833, AMG-598, beloranib, B1-456906, biotin, betahistine hydrochloride, lorcaserin hydrochloride, lorcaserin hydrochloride, efpeglenatide, G-3215, GMA-102, GT-001, GTS-21, HM-12525A, HM-15211, HSG-4112, LLF-580, MEDI-0382, MET-2, Miricorilant, NGM-313, NGM-386, NN-9277, NN-9423, NN-9536, NNC-01651562, NNC-01651875, Novdb-2, NovOB, pegapamodutide, REGN-4461, RZL-12, S-237648, S-237648, SAR-425899, SCO-792, setmelanotide, setmelanotide, tesofensine, TP-0101, VP-01, ZGN-1061, ZP-4982, (acarbose+orlistat), (leucine+sildenafil citrate), (leucine+metformin hydrochloride+sildenafil citrate) and (metoprolol+tesofensine).
21. The kit-of-parts according to the preceding claim for preventing, delaying, mitigating, reversing, curing and/or treating a metabolic disease, wherein the metabolic disease is selected from the list consisting of: amyloidosis, cardiometabolic disease, dehydration, diabetes (type 1, type 2, diabetic foot ulcers, diabetic macular oedema, diabetic neuropathy, diabetic retinopathy, diabetic nephropathy, gestational diabetes, dyslipidaemia, hyperlipidaemia), glucose intolerance, hypercholesterolaemia, hyperglycaemia, hyperinsulinaemia, or insulin resistance, hyperkalaemia, hypoglycaemia, hypopotassaemia, lipodystrophy (lipoatrophy), metabolic syndrome, obesity, osteopenia, osteoporosis (including postmenopausal osteoporosis), phenylketonuria (PKU), hypersecretion of pituitary ACTH (Cushing's syndrome) and Pompe disease.
22. The kit-of-parts according to claim 21, wherein the metabolic disease is selected from obesity, overweight and hyperinsulinaemia, or insulin resistance.
23. A method for synthesising a nanosystem according to claims 1-13 which comprises: (a) adding a Gemini surfactant as a stabilising agent in a hydrogen tetrachloroaurate tetrahydrate solution (HAuCl.sub.4.4H.sub.2O), (b) reducing hydrogen tetrachloroaurate tetrahydrate (HAuCl.sub.4.4H.sub.2O) by means of the controlled addition of a reducing agent, and (c) complexing with the biologically active molecule by means of the controlled addition of the miR-21 microRNA, mimetic, isomiR, oligonucleotide molecule with more than 75% sequence similarity, compounds aimed at increasing the transcription or activity of miR-21 or a source thereof or any of the combinations thereof; with excess polymer and stirring conditions being maintained.
24. The method according to the preceding claim, wherein the reducing agent is sodium borohydride (NaBH.sub.4).
25. The method according to any of claims 23-24, wherein the reducing agent is metered by means of fractionated dropwise addition.
26. The method according to any of claims 23-25, wherein vigorous stirring is performed between step (a) and step (b) in the absence of light for at least 3 minutes.
27. The method according to the preceding claim, wherein the vigorous stirring in the absence of light is performed for at least 4 minutes.
28. The method according to any of claims 23-27, wherein stirring is performed between step (b) and step (c) in the absence of light for at least 10 minutes.
29. The method according to the preceding claim, wherein the stirring in the absence of light is performed for at least 12 minutes.
30. The method according to any of claims 23-28, wherein gentle stirring is performed after step (c) for at least 20 minutes.
31. The method according to the preceding claim, wherein the gentle stirring is performed for at least 25 minutes.
Description
BRIEF DESCRIPTION OF THE FIGURES
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DETAILED DESCRIPTION OF EMBODIMENTS/EXAMPLES
Example 1. Characterisation and Verification of the Stability of the Nanosystem
[0137] The process for synthesising the nanosystems begins with the prior synthesis of Gemini surfactants and uses HAuCl.sub.4 to provide the gold content of the nanoparticle. First, 390 μl of an aqueous HAuCl.sub.4 solution with a concentration of 23 mM prepared in an aqueous solution were taken, to which there were added 30 ml of the Gemini surfactant 16-Ph-16 or 16-3-16 at the concentration of 4.Math.10.sup.−5 M and 4.Math.10.sup.−4 M, respectively. Said preparation was subjected to vigorous continuous stirring for 5 minutes in the absence of light, a clear bright yellow solution being obtained as a result. Next, 100 μl of an aqueous sodium borohydride solution 0.4 M are added dropwise, keeping the mixture under moderate stirring for 15 minutes in the dark. During this time interval, the mixture turns from yellow to a clear reddish colour. As a result, precursor gold nanoparticles called Au@16-Ph-16 and Au@16-3-16 were obtained, in this example at concentrations of 5.6.Math.10.sup.−8 M and 1.7.Math.10.sup.−7 M, respectively.
[0138] Starting from the synthesis of the precursor nanosystems, nanosystems functionalised with miRNA biomolecule in different proportions were prepared. Complexing with miR-21 was performed by working in polymer excess conditions at all times. Therefore, starting from a fixed amount of precursor nanosystem, C.sub.AU@m-sm=5.6.Math.10.sup.−9 M and 1.7.Math.10.sup.−8 M for Au@16-Ph-16 and Au@16-3-16, respectively, variable amounts of the biopolymer, C.sub.miR-21=4.5.Math.10.sup.−8, 6.0.Math.10.sup.−8 and 9.0.Math.10.sup.−8 were added. As a result, the following preparations corresponding to the following proportions in analytical concentration ratio, R=C.sub.AU@m-s-m/C.sub.miR-21 for each system, were obtained: R=0.124, 0.093 and 0.063 for Au@16-Ph-16/miR-21; and R=0.378, 0.283 and 0.189 for Au@16-3-16/miR-21. Stable Au@m-s-m/miR-21 type complexes were thereby obtained by continuous stirring, where a total of 30 minutes of gentle stirring at room temperature was required for obtaining a preparation volume of 30 ml. Next, 24 hours lapse before injection into test individuals, with the prior conditioning of the nanosystem at a temperature of 4° C. being fundamental. A moderate change to a slightly purplish tone is indicative of the stabilisation and formation of the resulting nanosystem functionalised with miR-21.
[0139] The stability of gold nanoparticles coated with a surfactant (16-Ph-16@AuNPs and 16-3-16@AuNPs), as well as nanoparticles coated with a Gemini surfactant and miR-21 (miR-21/16-Ph-16@AuNPs and miR-21/16-3-16@AuNPs) was evaluated by means of UV-visible spectroscopy, following the shape and wavelength of the maximum of the surface plasmon band over time.
[0140] The absorbance spectra were prepared using a CARY 500 SCAN UV-vis-NIR spectrophotometer (Varian). Data was collected every 2 nm with a standard 10 mm thick glass cell and the spectra were recorded in the wavelength range of 800 to 400 nm. The surface plasmon resonance exhibited by the nanosystems was shown as a strong absorption band in the visible region. Wavelength precision and spectral bandwidth were ±0.3 nm and 0.5 nm, respectively.
[0141] The absorption spectra of each sample were measured for 30 minutes, in the worst cases, and the position of the maximum surface plasmon was verified for at least one month in sterility conditions, with no noticeable changes being observed in the original position of the surface plasmon band or in the wavelength of the maximum absorption. Therefore, no evidence of aggregation was observed in any of the studied nanosystems.
[0142] The experiments were carried out in an aqueous solution at a fixed colloidal gold concentration of 5.6.Math.10.sup.−9 M and 5.6.Math.10.sup.−8 M for systems 16-Ph-16 and 1.7.Math.10.sup.−8 M and 1.7.Math.10.sup.−7 M for the corresponding gold nanoparticle systems 16-3-16, respectively. Furthermore, the spectra of the miR-21/16-Ph-16-AuNP and miR-21/16-3-16-AuNP complexes were prepared with different molar ratios (defined as R=C.sub.Au-Gemini/C.sub.miR-21): R=0.124, 0.093 and 0.063 for miR-21-16-Ph-16-AuNPs and R=0.378, 0.283 and 0.189 for miR-21-16-3-16-AuNPs.
[0143] The UV-visible graphs shown in
[0144] Moreover, the different nanosystems were characterised to determine both the morphology and the size and charge of the resulting complex using different structural techniques and in solution. Specifically, TEM and AFM microscopy techniques were used for determining the size and shape of the complexes. It was therefore determined that nanoparticles Au@16-3-16 and Au@16-Ph-16 have an average size of 3.8±0.5 nm and 5.5±0.5 nm, respectively (
[0145] For TEM examination, a droplet (10 μl) of the aqueous gold nanoparticle solution was placed on a copper grid coated with a carbon film, which was then left to air dry for a few hours at room temperature. TEM analysis was carried out in a Philips CM electron microscope working at 200 kV, and the resulting images were analysed using the free ImageJ software.
[0146] AFM images were obtained with Molecular Imaging Picoscan 2500 (Agilent Technologies). Silicon cantilevers (model Pointprobe, Nanoworld) with a resonance frequency of about 240 kHz and a nominal force constant of 42 N/m were used. All AFM images were taken in the air and in the tapping mode, with a scan speed of about 0.5 Hz and data collection speed at 256×256 pixels.
[0147] Lastly, the dynamic light scattering (DLS) technique and Zeta potential measurements were used to evaluate the size distribution and charge of the precursor nanosystems and nanosystems functionalised with miR-21. For DLS measurements, Zetasizer Model ZS-90 (Malvern Instrument, Ltd., United Kingdom) equipment was used. The sample was illuminated with a laser with a fixed detection arrangement of 90° towards the centre of the area of the cell to analyse fluctuation in scattered light intensity. At least 5 size measurements were taken for each sample, and the relative error for the hydrodynamic diameter was calculated to be <5%. The results were obtained in terms of average hydrodynamic diameters, with the percentage of the different complexes obtained in solution being obtained. DTS1060 capillary polycarbonate cell was used, and the samples were introduced in molar ratios identical to the UV-visible tests.
[0148] The zeta potentials of the different samples reveal the formation of highly positively charged structures (Table 1), which allows these nanosystems to be potential vectors for transporting medicinal products to the cell.
TABLE-US-00001 TABLE 1 DLS size distribution and Zeta potential per number of free Au@Gemini nanoparticles and nanoparticles functionalised with miR-21 in different molar ratios in water (defined as R = C.sub.Au@Gemini/C.sub.miR-21). Au@Germini/miR-21 nanosystem C.sub.miR-21 = 4.5 .Math. 10.sup.−8 M C.sub.miR-21 = 6.0 .Math. 10.sup.−8 M C.sub.miR-21 = 9.0 .Math. 10.sup.−8 M Au@16-3-16 type R = 0.378 R = 0.283 R = 0.189 nanosystems (46 ± 5) mV (35.6 ± 1.1) mV (50.5 ± 1.7) mV (18 ± 3) nm; 8% (5.0 ± 0.7) nm (11 ± 4) nm (4.6 ± 1.4) nm 92% Au@16-Ph-16 type R = 0.124 R = 0.093 R = 0.063 nanosystems (43 ± 6) mV (35 ± 4) mV (31.4 ± 1.2) mV (22 ± 2) nm; 47% (10.9 ± 1.6) nm (13.3 ± 1.4) nm (6.5 ± 1.4) nm 53%
Example 2. Efficiency of the Nanosystem for Complexing miRNA
[0149] To verify the effective formation of different functionalised nanosystems UV-vis spectra were prepared as a function of time with respect to the nanosystems described in Example 1, and pertinent modifications in the surface plasmon band of the nanoparticle, as well as the stability thereof over time, were studied.
[0150] Similarly, the formation of functionalised nanosystems having as a precursor nanoparticle Au@16-3-16 in different proportions of R (0.378, 0.283 and 0.189) is also obvious 24 hours after the mixing process. In this case, the comparison of the spectra from in situ mixing up until t=24 hours shows an increase in surface plasmon band intensity, without any shift in the position of the band being shown (see
Example 3. Toxic Effect of Treatment Using miRNA
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TABLE-US-00002 TABLE 2a Short-term effect of miR-21-Nano on the weight of mice. Mice were treated daily for 7 days by means of subcutaneous injections of 200 μl of miR-21-Nano and were weighed after 48 h. Weight before Weight after Type of Amount of treatment treatment Code nanoparticles MiR-21 (μg) (t = 0) (t = 48 h) A1 H.sub.2O DEPC 0 28.9 27.5 A2 Au@16-pH-16 0 26.1 25.5 A3 Au@16-pH-16 0.495 25.1 25.4 A4 Au@16-pH-16 0.22 25.5 25.8 AS Au@16-pH-16 0.11 24.3 24.4 A6 Au@16-3-16 0 29.9 29.2 A7 Au@16-3-16 0.495 26.6 26.3 A8 Au@16-3-16 0.22 30.4 28.8 A9 Au@16-3-16 0.11 27.3 26.6 S1 Physiological 0 26.7 25.6 saline solution DEPC: Diethyl pyrocarbonate
[0152] Tests were performed to rule out the possible toxic effect of the nanosystem (Au@Gemini/miR-21 nanoparticles). C57BL/6J mice were injected daily for 7 days with nanosystem miR-21 having different miR-21 concentrations. The injections were subcutaneous injections in the interscapular part of the mouse. One group of mice was then sacrificed after 48 hours to evaluate the acute effect of said complex (Table 2a), and another group was sacrificed after one month to evaluate the chronic effect (Table 2b). In addition to control groups with serum and water, another group of mice treated with miR-21 conjugated with in vivo-JetPEI® delivery reagent with an miR-21 concentration of 0.5 μg was included in the study.
TABLE-US-00003 TABLE 2b Long-term effect of miR-21-Nano on the weight of mice. Mice were treated daily for 7 days by means of subcutaneous injections of 200 μL of miR-21-Nano and weighed after 15 days and 30 days. Weight before Weight after Weight after Type of Amount of treatment treatment treatment Code nanoparticles miR-21 (μg) (t = 0) (t = 15 days) (t = 30 days) B1 H.sub.2O DEPC 0 25.7 26.7 27.2 B2 Au@16-pH-16 0 24.9 25.4 26 B3 Au@16-pH-16 0.495 26.4 27.2 27.3 B4 Au@16-pH-16 0.22 28 28.8 28.6 B5 Au@16-pH-16 0.11 26.7 27.5 27.1 B6 Au@16-3-16 0 27 28.7 28.6 B7 Au@16-3-16 0.495 29.2 29.7 30.5 B8 Au@16-3-16 0.22 27 28.3 28.6 B9 Au@16-3-16 0.11 24 26.9 27.3 S2 Physiological 0 26.8 28.3 27.9 saline solution 1 jetPei 0.5 24.1 27 27.5 2 jetPei 0.5 25.9 28.2 27.4 3 jetPei 0.5 26.2 27.7 27.9 4 jetPei 0.5 26 27.2 27.9 5 jetPei 0.5 25 25 27.2
[0153] With these tests, no alterations were observed in the normal coat, behaviour, activity, weight level of the mice, no sign of depression and no palpable node was detected. Furthermore, no mouse died before the end of the study.
[0154] Blood samples were analysed before the mice were sacrificed in order to perform the corresponding blood counts, and the values were compared with those of the reference group (Table 3), without any changes being observed.
TABLE-US-00004 TABLE 3a Short-term effect of miR-21-Nano on the blood composition of mice. Blood count corresponding to mice treated daily for 7 days by means of subcutaneous injections of 200 μl of miR-21-Nano and after 48 h. Au@ Au@ Au@ Au@ Au@ Au@ 16- 16- 16- 16- 16- 16- ph- ph- ph- 3- 3- 3- Physio- Au@ Au@ 16- 16- 16- 16- 16- 16- REF. Type of logical 16- 16- miR- miR- miR- miR- miR- miR- VAL- nano- H.sub.2O saline ph- 3- 21- 21- 21- 21- 21- 21- UES particles d.p.c. solution 16 16 0.5 0.2 0.1 0.5 0.2 0.1 (n = 4) Code A1 S1 A2 A6 A3 A4 A5 A7 A8 A9 RBC 9.21 9.33 10.06 9.08 10.03 8.98 10.01 8.69 8.14 10.05 9.84 ± (×10.sup.6/μl) 0.35 HEMAT- 42.7 42.7 45.2 41.3 45.5 40.2 45.2 38.9 36.4 45.4 45.95 ± OCRIT 1.34 (%) HEMO- 14.2 14.1 15.5 13.5 15.3 13 15 12.7 11.2 15.4 14.37 ± GLOBIN 0.67 (g/dl) MCV 46.4 45.5 44.9 45.5 45.4 44.8 45.2 44.8 44.7 45.2 46.75 ± (fl) 0.40 MCHC 33.2 33.2 34.3 32.6 33.6 32.3 32.6 32.6 30.8 33.9 31.2 ± (d/dl) 0.59 MCH 15.4 15.1 15.4 14.8 15.3 14.4 15 14.6 13.8 15.3 14.57 ± (pg) 0.23 RDW 14.4 12.7 12.9 13.7 11.8 13.9 12.8 13.9 14 13.8 13.82 ± (%) 0.36 WBC 1.62 2 1.98 1.75 1.13 2.64 1.48 4.4 1.88 3.54 3.54 ± (×10.sup.3/μl) 0.24 NEUTRO- 9.56 37.12 9.79 10.1 19.68 6.98 11.86 10.1 7.08 5.03 17.46 ± PHILS 2.98 (%) EOSIN- 0 0 0.49 0.17 1.71 0.72 1.6 0.31 0.93 0.89 0.71 ± OPHILS 0.16 (%) BASO- 0 0 0 0.46 0 0 0 0.52 0 0 0.29 ± PHLS 0.10 (%) LYMPHO- 89.31 62.44 88.12 88.88 76.38 90.04 85 84.44 90.42 89.7 78.58 ± CYTES 3.38 (%) MONO- 1.13 0.44 1.6 1.64 2.61 1.9 1.5 1.45 1.57 4.38 2.96 ± CYTES 0.89 (%) PLATE- 198 147 468 84 105 160 144 131 152 298 187.75 ± LETS 32.49 (×10.sup.3/μl) PLATE- 0.15 0.11 0.39 0.06 0.06 0.11 0.11 0.08 0.12 0.21 0.15 ± LET- 0.03 CRIT (%) MPV 7.6 7.5 8.4 7.2 5.9 7 7.7 6.6 7.6 7.1 8.32 ± (fl) 0.12
TABLE-US-00005 TABLE 3b Long-term effect of miR-21-Nano on the blood composition of mice. Blood count corresponding to mice treated daily for 7 days by means of subcutaneous injections of 200 μl of h miR-21-Nano and after 30 days. Au@ Au@ Au@ Au@ Au@ Au@ 16- 16- 16- 16- 16- 16- ph- ph- ph- 3- 3- 3- Physio- Au@ Au@ 16- 16- 16- 16- 16- 16- REF. Type of logical 16- 16- mIR- mIR- mIR- miR- miR- miR- VAL- nano- H.sub.2O saline ph- 3- 21- 21- 21- 21- 21- 21- UES particles d.p.c. solution 16 16 0.5 0.2 0.1 0.5 0.2 0.1 (n = 4) Code B1 S2 B2 B6 B3 B4 B5 B7 B8 B9 RBC 9.27 8.87 9.28 10 9.77 9.97 8.8 10.52 10.14 8.76 9.84 ± (×10.sup.6/μl) 0.35 HEMAT- 45.8 39.6 44.3 46.2 45 46.9 41.6 48.2 46.8 44.6 45.95 ± OCRIT 1.34 (%) HEMO- 14.6 13.6 15.4 15.2 14.6 15.2 14.6 15.3 15.3 14.9 14.37 ± GLOBIN 0.67 (g/dl) MCV 49.5 44.7 47.8 46.2 46.1 47.1 47.3 45.9 46.2 51 46.75 ± (fl) 0.40 MCHC 31.8 34.3 34.7 32.9 32.4 32.4 35 31.7 32.6 33.4 31.2 ± (d/dl) 0.59 MCH 15.7 15.3 16.5 15.2 14.9 15.2 16.5 14.5 15 17 14.57 ± (pg) 0.23 RDW 12.6 14 14.9 12.5 13.5 12.3 13.2 12.6 12.6 13.1 13.82 ± (%) 0.36 WBC 2.63 3.12 3.07 2.61 1.83 4.78 3.13 3.76 3.29 2.61 3.54 ± (×10.sup.3/μl) 0.24 NEUTRO- 21.5 29.82 25.2 17.66 14.4 14.24 24.15 21.46 13.49 21.2 17.46 ± PHILS 2.98 (%) EOSIN- 0.91 0.64 2.05 0.69 14.65 1.23 0.97 2.99 4.24 4.18 0.71 ± OPHILS 0.16 (%) BASO- 0.27 0.64 0.38 0.26 0.23 0.41 0.41 0.12 0.12 0.11 0.29 ± PHILS 0.10 (%) LYMPHO- 63.66 58.19 77.81 72.57 66.47 74.29 71.68 63.09 70.26 67.46 78.58 CYTES 3.38 (%) MONO- 13.66 10.71 2.56 8.82 4.25 9.83 2.79 12.34 11.89 7.05 2.96 ± CYTES 0.89 (%) PLATE- 162 857 812 384 191 792 618 667 827 351 187.75 ± LETS 32.49 (×10.sup.3/μl) PLATE- 0.11 0.71 0.67 0.32 0.15 0.67 0.55 0.53 07 0.28 0.15 ± LET- 0.03 CRT (%) MPV 7.3 8.3 8.3 8.5 8 8.5 8.9 8 8.5 8 8.32 ± (fl) 0.12
[0155] Morphological studies consisting of performing the hematoxylin and eosin histochemical study (
[0156] To detect the possible accumulation of nanoparticles in tissues, Raman spectrometry in 10-micron tissue slices will be used. CARS (Coherent Antistokes Raman Spectroscopy) microscopy allowed obtaining high-resolution images in freshly extirpated tissues without the need for labelling or prior preparation with a chromophore, in turn allowing the spatial distribution of the specific component selected for mapping the sample in the selected image area to be detected (
[0157] Liver and lung tissues freshly extirpated from mice were dissected into thin tissue slices of about 10 pm thick and then submerged in PBS and placed on a glass slide for examination. To carry out the technique, there two parallel lines of independent laser excitation (Ti: Sapphire laser, model Tsunami, Spectra Physics) will be used, generating pulses of between 3 and 13 picoseconds that must be very carefully overlapped in time and space, i.e., they must precisely strike the same point of the sample and furthermore pulsate simultaneously, so that they generate the suitable CARS signal upon striking the sample. The beams are optically coupled to a vertical microscope (Olympus, model BX61WI) with ultrafast galvanometric mirror scanning. By setting the pump energy at 727 nm (with a pulse width of about 4.5 ps and a microscope inlet power of 60 mW) and the energy of the stokes has been selected at 858 nm (with a pulse width of about 8 ps and a microscope inlet power 80 mW) for observing vibration of 2100 cm.sup.−1 (CARS signal at 631 nm), for detecting gold nanoparticles in tissues. It could be confirmed through these tests that the nanoparticles did not accumulate in tissues.
[0158] In vitro analyses and accumulation at the tissue level in animal models are fundamental in understanding the toxicity level of the nanosystems. As is known, gold nanoparticles improve the Raman anti-Stoke signal of neighbouring amino acids, so the application of a suitable control CARS technique can detect the presence of AuNPs which measure this effect. To verify the possible accumulation of functionalised gold nanoparticles in different organs of mice, ex vivo CARS microscopy experiments were performed in different freshly dissected tissues after 48 hours of treatment (see
[0159] As expected, the CARS images of the PBS did not show a significant contrast in non-resonant condition (see
[0160] All in all, the CARS images of the “control” did not show a significant contrast in non-resonant condition, whereas the CARS signals of AuNPs increased considerably, appearing as bright spots scattered across the images taken of samples treated with AuNPs. The improvement probably resulted from the substantial scattering of AuNPs and the high third-order polarisability of AuNPs. In conclusion, the data demonstrated that these nanosystems did not show any short-term and long-term toxic effect on treated mice, and that the gold nanoparticles do not accumulate in tissues.
Example 4. Study of the Effect of In Vivo Treatment with Nanosystems Au@16-Ph-16-miR-21 and Au@16-3-16-miR-21 on Weight and Fat Gain in a Mouse Model of Obesity Subjected to a High Fat Diet
[0161] Male C57BL/6J mice obtained from Jackson Laboratory were used in the study. C57BL/6J is an animal model that is widely used in obesity and diabetes type 2 study. The animals were housed individually and kept in photoperiods of 12 hours of light and 12 hours of darkness at 24° C. and 45%±5% humidity. During the 7 days of adaptation, the animals followed the normal diet used in the animal facility. The animals were then subjected to a high fat diet (HFD, 45% Kcal) for 53-55 days to generate the obese phenotype. The mice were weighed and treated 2 times a week for 6 weeks with 0.2 μg or 0.3 μg of miR-21 mimetic conjugated with nanosystems Au@16-Ph-16 or Au@16-3-16 in a final volume of 200 μl by means of subcutaneous injections (interscapular or inguinal). Adipose tissues (inguinal subcutaneous and interscapular, visceral and brown) and blood were extracted while sacrificing the mice.
[0162] Weight gain in mice subjected to treatment with nanosystems Au@16-Ph-16-miR-21 and Au@16-3-16-miR-21 was halted in comparison with controls; particularly, treatment with nanosystem 16-ph-16-miR-21, both with 0.2 μg and with 0.3 μg of miR-21, significantly reduced weight gain in mice subjected to the fat rich diet in comparison with the control (
[0163] The study was complemented with a histological analysis and a gene and protein expression analysis in inguinal subcutaneous, interscapular and visceral white adipose tissue and interscapular brown fat originating from mice subjected to in vivo treatment with nanosystems Au@16-Ph-16-miR-21 and Au@16-3-16-miR-21.
[0164] On one hand, the histological images of the tissues, which were prepared with hematoxylin and eosin staining (
[0165] On the other hand, a gene expression analysis was performed with messenger RNA obtained from inguinal subcutaneous and interscapular adipose tissues, thermogenesis marker genes (UCP1 and PGC-1α), beige cell markers (Tmem26), and browning process regulating genes Vegf-A and Prdm16 by means of real-time PCR (
[0166] A protein expression analysis was then performed by means of immunohistochemistry on inguinal subcutaneous white adipose tissue and visceral white adipose tissue with anti-UCP-1 protein antibodies (as a brown adipose tissue marker) and anti-TMEM26 antibodies (as a beige adipocyte marker) alone and in combination (merge) (
[0167] The number of mitochondria in inguinal adipose tissue was also evaluated by means of electron microscope imaging (
[0168] The data confirms that the effect of nanosystems Au@16-pH-16-miR-21 and Au@16-3-16-miR-21 (at a low concentration of miR-21 of 0.2 and 0.3 μg) on the reduction in weight gain would be mediated by the induction of browning in subcutaneous white adipose tissue and the activation of thermogenesis in both brown fat and subcutaneous white fat by means of the conversion of white adipocytes into beige adipocytes.