Abstract
The effectiveness of curcumin in treating cerebral ischemia has been reported in recent studies. However, its mode of action is still not defined. The objective of the present study is to formulate collagen–curcumin nanocomposites which will work effectively against cerebral ischemia/reperfusion injury. Ischemic injury is followed by inflammatory damage and oxidative stress, which together contribute a lot in the pathogenesis of cerebral ischemia and may be considered a good target for treatment. The present study focused on examining the effectiveness of collagen–curcumin nanocomposites stabilized by increasing the degree of crosslinking in reducing oxidative stress associated with brain injury resulting from cerebral ischemia. The collagen nanoparticles were prepared by conjugating collagen on the surface of Tween©80 micelles, and further stabilizing them using crosslinkers. The effectiveness of the prepared nanocomposite was validated by performing infarct analysis followed by biochemical, behavioral, histopathological and immunohistochemical studies. The outcomes of this study are promising for the use of collagen–curcumin nanocomposites in showing neuroprotective potential in treating ischemic injury.
A synthetic collagen–curcumin nanocomposite enhanced drug efficacy by increasing its bioavailability and showing slow and sustained drug release in the treatment against focal cerebral ischemia.
1. Introduction
In the last few decades cerebral ischemia related brain injuries have become a central cause of human deaths and disabilities across the world.1 Ischemic stroke occurs when blood supply to the brain is reduced due to blockage in the arteries supplying blood and oxygen to the brain. This restricted oxygen supply, also known as cerebral hypoxia, results in the formation of a region of necrotic tissue, termed cerebral infarction. Recent studies have proved that cerebral ischemia/reperfusion injury-induced neuronal brain damage is a result of a series of pathological processes like oxidative stress, inflammatory reactions, disruption of the blood–brain barrier (BBB) and neuronal apoptosis.2 MCAO is a well-characterized and classical model that has proved to be invaluably useful for studying the pathophysiology of focal cerebral ischemia.3,4 Several mechanisms including N-methyl-d-aspartate (NMDA) receptor activation leading to excitotoxicity, excessive nitric oxide (NO) generation and free radical-mediated oxidative stress are involved in the cascade of neuronal deaths.5,6 In addition to that, the generation of excess free radicals and impairment of antioxidant defense mechanism causes more vulnerability and damage to the brain.7
The blood–brain barrier poses the biggest challenge in treating neurodegenerative diseases,8 due to its limited permeability and restrictions to the entry of the drug into the brain. This not only results in reduced drug efficacy but also makes it necessary to administer a high dose of the drug to achieve the desired effect. However, high doses inadvertently lead to harmful side effects. In the last few decades therapeutic potential of curcumin, a well-known traditional spice, has been explored for treating central nervous system (CNS) diseases and is found to be extremely effective, possibly due to its anti-inflammatory and anti-oxidant properties.9 Neuroprotective potential of curcumin is not only because of its antioxidant properties but also due to it being able to cross the blood–brain barrier though in trace amounts.10 Several studies have shown administering curcumin after ischemia shows protective effects like diminished lipid peroxidation, mitochondrial dysfunction, glial activation, improved neurological scores, and locomotor activities.11 Despite having so many traits the neuroprotective efficacy of curcumin has been limited by poor aqueous solubility, rapid metabolism and fast elimination from circulation. Here, polymeric micelle based nanoparticles having distinct advantages like higher drug loading capacity, increased solubility of hydrophobic drugs and sustained release of drugs, could prove to be boon in overcoming the hurdles involved in brain drug delivery. Thus, providing a viable option as a nanocarrier for transporting active molecules across BBB. The main objective of the present study is to design and prepare curcumin loaded collagen conjugated Tween©80 nanoparticles for brain drug delivery using a simple but highly efficient preparation methodology. The efficiency of the formulation was further proved by studying the effects of using collagen–curcumin nanocomposite in comparison with free curcumin on various in vivo investigations. Biopolymer collagen was chosen as it is cytocompatible, biodegradable and easily available,12 but it lacks the mechanical properties and aqueous stability required for medical applications so the cross-linking approach was followed to overcome these limitations. Collagen nanoparticles have been stabilized by using 1-ethyl-3-(3-dimethyl aminopropyl)carbodiimide-hydrochloride (EDC·HCl) and malondialdehyde (MDA) as crosslinkers for attaining a slow and sustained drug release. The collagen nanoparticles are brain targeted using Tween©80, that helps in the passage of drug across BBB by mimicking through low-density lipoproteins (LDL) present on the surface of the brain.13 Tween©80, a polysorbate, is an amphipathic non-ionic surfactant made of fatty acid esters of polyethylene sorbitan. Micelles are formed by spherical aggregation of polysorbate in which the hydrocarbon chain makes the hydrophobic part that points towards the center and the hydrophilic part consists of ethylene oxide subunits pointing towards outside, in contact with the surrounding solution. Curcumin being hydrophobic goes into the core of micelle forming van der Waals bond with hydrophobic polymer core thus stabilizing micelle, similarly, hydrogen bonding of hydrophilic corona with surroundings also stabilizes the micelle.
2. Experimental section
2.1. Chemicals & reagents
Chemicals procured from SRL limited [glutathione reductase (GR), oxidized glutathione (GSSG), 1,2-dithio-bis-nitrobenzoic acid (DTNB), reduced nicotinamide adenine dinucleotide phosphate (NADPH), 1-chloro-2,4-dinitrobenzene (CDNB), sodium hydroxide (NaOH), trichloroacetic acid (TCA), copper sulfate (CuSO4), ethylenediaminetetraacetic acid (EDTA), disodium orthophosphate (Na2HPO4), sodium dihydrogen phosphate (NaH2PO4), sodium potassium tartrate, sodium carbonate (Na2CO3), Folin Ciocalteau reagent (FCR)]. Chemicals procured from Thomas Baker [sodium azide (NaN3), hydrogen peroxide (H2O2)]. Chemicals procured from Spectrochem [1-(3-dimethylaminopropyl)-3-ethyl carbodiimide-hydrochloride (EDC·HCl), thiobarbituric acid (TBA)]. Chemicals procured from SD Fine [Epinephrine (−), Tween©80]. Chemicals procured from Hi-media [5-sulphosalicylic dihydrate acid, bovine serum albumin (BSA)]. Chemicals procured from Sigma-Aldrich [2,3,5-triphenyl tetrazolium chloride (TTC), malondialdehyde (MDA), curcumin] and Holista Colltech Limited Australia (Ovicoll Collagen).
2.2. Preparation of collagen nanoparticle
1 ml of Tween©80 was added to 40 ml of double-distilled water kept on stirring at a temperature of around 8 °C. Next, 6 mg of collagen was dissolved in 10 ml of double distilled water with continuous vortexing and sonication for proper dissolution. After 4 h, the collagen solution was added slowly to the above solution kept on stirring. Then, 3 mg EDC·HCl was added after 2 h followed by the addition of 3 mg MDA 2 h thereafter. The final reaction mixture was kept for stirring overnight. The nanoparticle aqueous solution was dialyzed for 48 h using spectropore membrane dialysis bag (celluSep®, 12 kD cut-off), changing the distilled water after every 4 h (Fig. 1).
2.3. Characterization of nanocomposite
2.3.1. Drug loading
A solution of curcumin in chloroform (5 mg ml−1) was prepared by gentle warming with continuous vortexing. The above solution was slowly added to the aqueous solution of nanoparticle with continuous vortexing and sonication until excess drug began to settle down. Curcumin being hydrophobic goes into the core of the collagen nanoparticle. Drug loaded nanoparticle solution was then kept on dialysis for 12 h with a change of water after every 3 h for removing leftover chloroform. The dialyzed drug-loaded nanoparticle solution was then lyophilized and kept for further use.
2.3.2. Physicochemical characterization
Fourier transform infrared spectroscopy (FT-IR) was done to analyze if crosslinking has taken place in collagen nanoparticle on the addition of EDC·HCl and MDA. It was done on a Bruker alpha instrument and the spectrum was recorded in the range 4000 cm−1 to 400 cm−1. Dynamic Light Scattering (DLS) analysis was done to determine nanoparticle size distribution and its average size determined using Zetasizer Nano ZS (Malvern Instruments Corp., Malvern, UK). Size measurement was done at 4 °C using a disposable folded capillary cell. Transmission Electron Microscopy (TEM) analysis gives nanoparticle shape and size, few drops of nanoparticles were dropped cast on a copper grid and negative staining done using 1% PTA. TEM was done at AIIMS, New Delhi on a TALOS instrument (Thermo Fischer Scientific, USA).
2.3.3. Encapsulation efficiency (EE%) calculation
It is defined as the percentage of drug that has gone inside the nanoparticles relative to the total drug added. It specifies the amount of drug that has been encapsulated into the nanoparticles and the amount of free drug still present in the dispersion medium. The encapsulation efficiency (EE%) of collagen–curcumin nanocomposite was determined by centrifuging the nanocomposite at 4 °C for 30 min at 14 000 rpm and then measuring the unentrapped (free) curcumin by taking the absorbance of the supernatant at 435 nm. EE% was calculated as follows:EE% = [(curcumintotal − curcuminfree)/curcumintotal] × 100where curcumintotal is the total amount of curcumin that has been loaded into the nanoparticle and curcuminfree is the amount of free curcumin present in the solution.
The loading efficiency (LE%) reflects the amount of drug associated with a unit weight of nanoparticle. LE% can be calculated as follows:LE% = [(curcumintotal − curcuminfree)/(wt of nanoparticles)] × 100
2.3.4. In vitro release kinetics of drug from nanocomposite
The in vitro release kinetics study of the drug from a nanocarrier plays an important part in the development of a good nanocarrier. In this study in vitro release kinetics of curcumin from nanocomposite was investigated using the dialysis bag method. In this method about 100 mg of lyophilized nanocomposite powder was dissolved in 1 ml of distilled water and kept for dialysis in a beaker containing 50 ml of phosphate buffer solution (pH = 7.4, containing 1% Tween©80) for 48 h, it provides proper sink conditions as curcumin has very low aqueous solubility. In order to mimic biological conditions, the whole process was done in an incubator maintained at 37 °C. After specific time intervals about 2 ml of solution from the sink medium containing released curcumin was withdrawn, simultaneously replacing it with an equal volume of fresh phosphate buffer saline (PBS) solution. Alongside a similar setup was prepared for determining release kinetics of free curcumin dissolved in DMSO. The amount of released curcumin in the above-withdrawn sink medium was determined spectrophotometrically by taking absorbance at 435 nm and using a standard absorbance curve of curcumin in DMSO.
The percentage of curcumin released was determined as follows: Release (%) = {[curcumin]released/[curcumin]total} × 100where [curcumin]released is the concentration of curcumin released at time t, and [curcumin]total is the concentration of total curcumin entrapped inside the nanocomposite.
2.3.5. Storage stability of collagen nanoparticles
The size and polydispersity index (PDI) of collagen nanoparticles kept at 8 °C was monitored over a time duration of eight weeks to study their physical storage stability. The particle size and PDI were studied by taking DLS every week for eight weeks and it was found that collagen nanoparticles were physically stable during the said duration showing consistent size and peaks in DLS analysis, moreover, PDI was found to be around 0.2 with no signs of agglomeration.
2.4. In vivo studies
2.4.1. Animal ethics
All in vivo animal experiments were performed following the guidelines approved by the Committee for Control and Supervision of Experiments on Animals (CPCSEA) under the Government of India. The animals were used after taking permission and following the strict guidelines of the Institute Animal Ethics Committee (registration no. 173/GO/Re/2000/CPCSEA) of Jamia Hamdard (New Delhi, India).
2.4.2. Experimental protocol
Animal experiments were performed on female albino Wistar rats weighing between 250 g and 300 g. Rats were kept at Central Animal House Facility (CAHF), Jamia Hamdard, in polypropylene cages in air-conditioned rooms with the temperature around 25 °C and were given pellet diet and water ad libitum under constant dark and light cycles. For studying the neuroprotective effects of collagen–curcumin nanocomposites, the MCAO model was used. Animals were mainly divided into 6 groups each group having 6 animals (n = 6). The 1st group was marked as control (N) and this group animal were given void collagen nanoparticles intraperitoneally (i.p.); 2nd group was marked as ischemic (I), in this group MCAO was performed for 1 h duration followed by reperfusion for a period of 24 h; in the 3rd group, MCAO was performed for 1 h followed by treatment with nanocomposite dose ND1 – 1 μg per kg b. wt; in the 4th group, MCAO was performed for 1 h followed by treatment with nanocomposite dose ND2–10 μg per kg b. wt; in 5th group MCAO was performed for 1 h followed by treatment with nanocomposite dose ND3–100 μg per kg b. wt and 6th group MCAO was performed for 1 h followed by treatment with free curcumin 100 μg per kg b. wt. In all the treatment groups nanocomposite was administered just after removal of occluding monofilament. After 24 h reperfusion period, a neurobehavioral assessment was done and later animals were sacrificed and brains were excised for biochemical estimations, infarct analysis, histopathology and immunohistochemistry studies.
2.4.3. Induction of transient focal cerebral ischemia by MCAO
The MCAO was performed by an intraluminal filament model.14 Chloral hydrate (400 mg per kg b. wt) was given intraperitoneally as an anesthetic, then a polylysine coated monofilament (Doccol corporation, USA) having a smooth and flexible tip was inserted into the external carotid artery (ECA) and slowly pushed into the middle cerebral artery (MCA) via the internal carotid artery (ICA) for a length of 17 to 20 mm until a slight resistance was felt, the resistance indicates that the filament has crossed the proximal portion of the anterior cerebral artery (ACA). At this point, the intraluminal suture blocks the origin of MCA and obstructs every source of blood flow from the posterior cerebral artery (PCA), ACA and ICA. The intraluminal filament was slowly withdrawn 1 h after the induction of ischemia and then the animals were returned back to their cages. In the control group, ECA was exposed but no suture was inserted. The animals were later returned back to their cages and kept for 24 h reperfusion.
2.4.4. Behavioral studies
Behavioral studies included Spontaneous Motor Activity (SMA),15 flexion test (FT)16 and grip strength17 test analysis using reported methods. A detailed experimental protocol for behavior studies has been provided in the ESI.†
2.4.5. Infarct analysis
In this investigation, albino Wistar rats were sacrificed and their brains were excised and kept in brain matrix (zivic instruments) after removing the hind region, 3 mm coronal sections of the brain were sliced and stained in a solution of 0.1% TTC in PBS. Succinate dehydrogenase reduces TTC into a red-colored formazan in the viable region and it remains unstained or pale in the non-viable infarct region. The quantification of infarct volume was done by measuring ischemic and non-ischemic areas using image J (Image J, Bethesda, MD) software.
2.4.6. Biochemical studies
The animals were sacrificed, and brains were dissected to take out the cortex region. The homogenization of tissue at 5% (w/v) was done in 10 mmol L−1 PBS (pH 7.4) and then centrifuged at 800 × g for 5 min at a temperature of 4 °C to get initial supernatant. A portion of the initial supernatant was taken for doing the assay of thiobarbituric acid reactive substances (TBARS), whereas the remaining portion was centrifuged at 10 500 × g for 15 min at 4 °C. The supernatant obtained after second-time centrifugation was used for the estimation of various antioxidant enzymes like reduced glutathione (GSH), glutathione-S-transferase (GST), reduced glutathione (GR), glutathione peroxidase (GPX), superoxide dismutase (SOD), catalase (CAT) and measurement of lipid peroxidation (LPO).
Biochemical parameter estimations including measurement of LPO,18 GSH,19 GR,20 GPX,21 SOD,22 CAT,23 GST24 and protein estimation25 were performed using reported methods. The detailed experimental protocol has been provided in the ESI.†
2.4.7. Histopathology
The rats were sacrificed and the cortex sections of the brain were embedded in paraffin. The coronal sections of thickness about 5 μm having cortex region were processed for Hematoxylin and eosin staining. The slide analysis and imaging were done using a Motic AE30 microscope.
2.4.8. Immunohistochemical study
The immunostaining was performed according to the procedure mentioned in ThermoScientific Ultra Vision ONE Large Volume Detection System HRP Polymer (Ready-To-Use) kit.26,27 Paraffin sections were dewaxed with dimethyl benzene and graded ethanol series. After heat-induced antigen retrieval, to reduce nonspecific background staining due to endogenous peroxidase, incubated sections were processed through 4% H2O2 for 15 min, and then applied ultra V block and incubated for 5 min at room temperature to block nonspecific background staining. Sections were incubated with primary NF-κB (Sigma Aldrich, USA), primary COX-2 and primary caspase-3 at room temperature for 1 h. The HRP polymer (Abcam, USA) was applied to the sample and incubated for 30 min at room temperature followed by washing with TBS buffer and further incubation with DAB for 5 min. Finally, counterstaining was done using hematoxylin. The slides were then washed, dried and mounted with DPX and studied under an Olympus BX51 microscope.
2.5. Statistical analysis
The data from individual groups were presented as the mean ± standard error of the mean (S.E.M.). Differences between groups were analyzed using ordinary one-way analysis of variance (ANOVA) followed by a post hoc Tukey's multiple comparisons test using Graph Pad Prism 8 (Graph Pad Software, San Diego, CA, USA) and minimum criterion for statistical significance was set at p < 0.05 for all comparisons.
3. Results and discussion
3.1. Physicochemical characterization
3.1.1. FT-IR analysis
FT-IR results (Fig. 2) show that pure collagen shows a characteristic FT-IR spectrum, with the appearance of amide I peak at ∼1650 cm−1 and amide II peak at ∼1560 cm−1. The amide I peak results from the stretching vibration of the peptide carbonyl group (–CO) and amide II results from –NH bending vibrations. In FT-IR of collagen nanoparticles –NH bending peak has disappeared showing the formation of additional amide (–CONH) bonds after the addition of carboxyl-amine coupling reagent EDC·HCl and peak of carbonyl group (–CO) stretching is retained. Moreover, the intensity of peaks between 1000 cm−1 and 1500 cm−1 has decreased considerably showing extensive amide bond formation after adding EDC·HCl and cross-linker malondialdehyde (MDA) resulting in stabilization of collagen nanoparticles.
3.1.2. DLS and HR-TEM analysis
The size analysis of the nanoparticles was done using DLS and TEM techniques. DLS showed collagen–curcumin nanocomposite has an average hydrodynamic diameter of around 120 nm (Fig. 3A) and a polydispersity (PDI) of 0.266. The nanocomposite showed a size of around 65 nm and a spherical morphology in TEM (Fig. 3B).
3.1.3. Entrapment efficiency and in vitro release kinetics study
The collagen–curcumin nanocomposite encapsulation efficiency EE% was found to be about 80% with a loading efficiency of 2%. There lease kinetics showed as low and sustained release of curcumin from nanocomposite in phosphate buffer at the physiological pH = 7.4 as compared to the release of free curcumin under similar conditions (Fig. 4).
3.2. In vivo studies results
The animal studies were conducted on albino Wistar rats. After induction of focal cerebral ischemia using MCAO model, animals were treated with collagen–curcumin nanocomposite doses of ND1 (1 μg per kg b. wt), ND2 (10 μg per kg b. wt), ND3 (100 μg per kg b. wt) and free curcumin (FD) dose of (100 μg per kg b. wt). After a reperfusion period of 24 h animals were assessed for behavioral studies and later sacrificed for studying various in vivo parameters.
3.2.1. Behavioral parameters analysis
Cerebral ischemia/reperfusion injury caused significant impairment in motor performance, this could be because of neuronal damage. This results in the death of neurons in the territory of the brain being supplied blood by the MCA i.e. the caudate nucleus, the putamen and the striatum areas that regulate motor coordination. In this study rats were evaluated for various behavioral parameters like SMA, flexion test and grip strength and these parameters were found to show severe deficits in cerebral ischemia induction by MCAO model.14 Treatment with nanocomposite restored neurological deficit to a significant level as is evident in results (Fig. 5) with ND3 dose showing best results, even ND1 dose shows better results than free curcumin dose. The poor neurobehavioral score in ischemic rats could be due to generation of free radicals that result in loss of motor coordination and locomotion in the caudate–putamen and sensorimotor cortices as a result of necrosis induction in these regions.28
3.2.2. Analysis of infarct volume
The extent of injury to brain regions (cortex, striatum, and hippocampus) after induction of cerebral ischemia by MCAO depends on the time of occlusion of the MCA and reperfusion period.29,30 Infarct analysis by TTC staining clearly depicts the extent of infarction in the brain. TTC acts like a proton acceptor for many pyridine nucleotide linked dehydrogenases (especially succinate dehydrogenases) along with the cytochromes that form an integral part of inner mitochondrial membrane and make up the electron transport chain, tetrazolium salt which is white in color is reduced by enzymes into a red lipid-soluble formazan in the viable tissues and the infarct region remains unstained, this is due to loss of enzyme activity in affected regions when mitochondria are put to stress, as a result of reduction in blood supply to the brain. In the study using TTC infarct analysis, infarction is very well visible in the striatum, cortex and the hippocampus regions in the ischemic (I) group which has reduced considerably in the treatment groups ND1, ND2, ND3, and free curcumin, best results given by ND3 over other three treatments, in comparison to ischemic (I) group (Fig. 6A). Results have been quantified by plotting percentage viable region for all the animal groups (Fig. 6B).
3.2.3. Biochemical parameter analysis
Cerebral ischemia/reperfusion injury leads to the generation of free radicals in excess upon blood reflow and failure of tissue antioxidant activity results in oxidative stress-induced neuronal loss. During reperfusion there is an abrupt supply of molecular oxygen which acts as a substrate for xanthine oxidase for nucleotide metabolism, this leads to an increase in the generation of H2O2 and superoxide as by-products.31 This explosive production of free radicals combined with peroxides and superoxides increases damage to the tissue. TBARS content is indicative of LPO and is a measure of oxidative stress. A high content of LPO in form of TBARS in ischemic group found as has been reported earlier,32 the GSH content is lowered in ischemic group due to it being consumed in scavenging rapidly generated reactive oxygen species (ROS),33 leading to reduction in content of GSH dependent enzymes like (GPX, CAT, GR, GST) and SOD that too act as ROS scavengers.34 The results showed a decrease in GSH content in the ischemic group and enzymes dependent on it like SOD, CAT, GPX, GR and GST in comparison to the control group (Fig. 7). Treatment with nanocomposite increases the GSH content in comparison to the ischemic (I) group significantly and enzymes dependent on it showed similar results especially ND3 dose (Fig. 7). Curcumin has been known to increase reduced glutathione under oxidative stress.35 Curcumin interacts with oxidative cascade by neutralizing or scavenging of free radicals and inhibiting LPO.36 Curcumin possesses both phenolic and β-diketone functional groups and that makes it a potent antioxidant and free radical scavenger.37 In addition, curcumin is known to enhance the activities of antioxidant enzymes such as SOD, CAT and GPx.38 In mitochondria, the curcumin reduces ROS and prevents oxidative damage.39
3.2.4. Histopathological analysis
MCAO induction leading to ischemia/reperfusion injury triggers generation of ROS species leading to a state called oxidative stress that comprises of a cascade of events resulting in decrease in level of antioxidant enzymes like glutathione, increase in LPO levels and disturbances in redox state of the cells due to ionic imbalances.40 All these factors lead to neurodegenerative losses which are very well reflected in brain histopathological results. The sections of the control (N) group showed normal neuronal cells without any pathological changes, whereas sections of the ischemic (I) group showed brain damage accompanied by neuronal loss, lack of intact neurons and presence of many vacuolated spaces (Fig. 8). Treatment with collagen–curcumin nanocomposite doses ND1 and ND2 showed better results than free curcumin showing partial neuronal loss with the presence of intact neurons in between vacuolated spaces whereas treatment ND3 showed best results restoring histopathology almost near to the control (N) group (Fig. 8).
3.2.5. Immunohistopathological analysis
Ischemic stroke induction by the MCAO model resulted in inflammation due to the release of inflammatory molecules like NF-κB and COX-2 that are responsible for cell death.
Inflammatory marker NF-κB is known to be activated by a variety of stimuli that occur in focal cerebral ischemia, such as glutamate,41 hypoxia, and ROS.42 It is a transcriptional activator of a number of genes involved in the pathogenesis of cerebral ischemia for e.g. iNOS and COX-2, also NF-κB expression increases with increase in ROS generation.43 Curcumin is known to suppress activation of nuclear factor NF-κB,44 which is very well demonstrated in the results as ischemic (I) group shows increased expression of NF-κB in comparison to control (N) group, treatment with nanocomposite reduced the expression significantly in ND3 (Fig. 9).
Curcumin shows inhibitory activity over COX-2.45 Curcumin shows an inhibitory effect on neuroinflammatory response to cerebral ischemia of rat through activating the PPARγ pathway. There are numerous pieces of evidence clearly showing that activation of PPARγ confers to neuroprotective effect in the experimental models of ischemic injury,46 curcumin might be a likely agonist of PPARγ which is known to suppress COX-2 expression in cerebral ischemia of rats. Further verifying the data the results showed that the expression of COX-2 increased in cerebral ischemic rats. Treatment with nanocomposite significantly decreased COX-2 expression, best results are shown by nanocomposite dose of ND3 followed by ND2 and ND1 in comparison to free curcumin dose (Fig. 10), these results clearly present the beneficial effects of curcumin against cerebral ischemic injury due to suppression of inflammatory response by activating PPARγ.
Mitochondrial impairment and oxidative stress lead to damage to neurons and ends up inactivation of an apoptotic stage. It is already known that cerebral ischemia induces the activation of caspase-3, neuronal death is preceded by the up-regulation and activation of caspase-3. Curcumin could reduce the loss of the neurons in ischemic brain tissue, and it inhibits expression of the activated caspase-3, an important executor of apoptosis.47 There is a substantial neuronal death after transient focal cerebral ischemia, initiated by caspase-3 activity and it contributes to the delayed loss of neurons from the penumbral region of infarct area.48–50 In this study, neuronal loss was observed in the cortex region after transient focal cerebral ischemia. After the administration of nanocomposite, the expression of activated caspase-3 was apparently inhibited in treatment group ND3 more prominently as compared to the ischemic (I) group (Fig. 11), treatments ND1 and ND2 showed better results than free curcumin.
4. Conclusions
The findings of this study clearly suggest that the neuroprotective effect of curcumin on cerebral ischemic damage in MCAO reperfusion rats have been significantly enhanced by using collagen–curcumin nanocomposite. The major success achieved using nanocomposite could be very well defined by increased bioavailability and improved permeability across the BBB, which has helped in producing far more effective results in comparison to free curcumin and that too at very low concentrations. These findings by improving upon the already known neuroprotective potential of curcumin could pave the way for a future research avenue for exploring numerous benefits for other neurodegenerative diseases.
Conflicts of interest
There are no conflicts to declare.
Abbreviations
- MCAO
Middle cerebral artery occlusion
- COX-2
Cyclooxygenase-2
- BBB
Blood–brain barrier
- NF-κB
Nuclear factor kappa-light-chain-enhancer of activated B cells
- DMSO
Dimethyl sulfoxide
- HRP
Horseradish peroxidase
- PPARγ
Peroxisome proliferator-activated receptor gamma
Supplementary Material
Acknowledgments
The authors are extremely thankful to Jamia Hamdard for providing the prestigious Silver Jubilee Fellowship that was of great help in carrying out this research. Also, the authors would like to thank Dr Ambrish Kumar Tiwari, Incharge CAHF, Jamia Hamdard for his help in all histopathological and immunohistochemical interpretations.
Electronic supplementary information (ESI) available. See DOI: 10.1039/c9ra08508d
References
- Liu X. Q. Sheng R. Qin Z. H. Acta Pharmacol. Sin. 2009;30:1071–1080. doi: 10.1038/aps.2009.105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dirnagl U. Iadecola C. Moskowitz M. A. Trends Neurosci. 1999;22:391–397. doi: 10.1016/S0166-2236(99)01401-0. [DOI] [PubMed] [Google Scholar]
- Longa E. Z. Weinstein P. R. Carlson S. Cummins R. Stroke. 1989;20:84–91. doi: 10.1161/01.STR.20.1.84. [DOI] [PubMed] [Google Scholar]
- Cheatwood J. L. Emerick A. J. Schwab M. E. Kartje G. L. Stroke. 2008;39:2091–2098. doi: 10.1161/STROKEAHA.107.507426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castillo J. Rama R. Davalos A. Stroke. 2000;31:852–857. doi: 10.1161/01.STR.31.4.852. [DOI] [PubMed] [Google Scholar]
- Chabrier P. Auguet M. Spinnewyn B. Auvin S. Cornet S. Demerle-Pallardy C. et al. . Proc. Natl. Acad. Sci. 1999;96:10824–10829. doi: 10.1073/pnas.96.19.10824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Y. Chang C. F. Chen H. L. Deng X. Harvey B. K. Cadet J. L. Exp. Neurol. 2005;193:75–84. doi: 10.1016/j.expneurol.2004.12.014. [DOI] [PubMed] [Google Scholar]
- Pardridge W. M. Drug Discovery Today. 2007;12:54–61. doi: 10.1016/j.drudis.2006.10.013. [DOI] [PubMed] [Google Scholar]
- Srimal R. C. Dhawan B. N. J. Pharm. Pharmacol. 1973;25:447–452. doi: 10.1111/j.2042-7158.1973.tb09131.x. [DOI] [PubMed] [Google Scholar]
- Yang F. Lim G. P. Begum A. N. Ubeda O. J. Simmons M. R. Ambegaokar S. S. et al. . J. Biol. Chem. 2005;280:5892–5901. doi: 10.1074/jbc.M404751200. [DOI] [PubMed] [Google Scholar]
- Yang C. Zhang X. Fan H. Liu Y. Brain Res. 2009;1282:133–141. doi: 10.1016/j.brainres.2009.05.009. [DOI] [PubMed] [Google Scholar]
- Miyata T. Taira T. Noishiki Y. Clin. Mater. 1992;9:139–148. doi: 10.1016/0267-6605(92)90093-9. [DOI] [PubMed] [Google Scholar]
- Sun W. Xie C. Wang H. Hu Y. Biomaterials. 2004;25:3065–3071. doi: 10.1016/j.biomaterials.2003.09.087. [DOI] [PubMed] [Google Scholar]
- Longa E. Z. Weinstein P. R. Carlson S. Stroke. 1989;20:84–91. doi: 10.1161/01.STR.20.1.84. [DOI] [PubMed] [Google Scholar]
- Raza S. S. Khan M. M. Ashafaq M. Ahmad A. Khuwaja G. Khan A. et al. . J. Neurol. Sci. 2011;309:45–54. doi: 10.1016/j.jns.2011.07.035. [DOI] [PubMed] [Google Scholar]
- Vaibhav Shrivastava P. Javed H. Khan A. Ahmed M. E. Tabassum R. et al. . Mol. Cell. Biochem. 2012;367:73–84. doi: 10.1007/s11010-012-1321-z. [DOI] [PubMed] [Google Scholar]
- Moran P. M. Higgins L. S. Cordell B. Moser P. C. Proc. Natl. Acad. Sci. U. S. A. 1995;92:5341–5345. doi: 10.1073/pnas.92.12.5341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Utley H. C. Bernheim F. Hochslein P. Arch. Biochem. Biophys. 1967;260:521–531. [Google Scholar]
- Jollow D. J. Mitchell J. R. Zampaglione N. Gillette J. R. Pharmacology. 1974;11:151–169. doi: 10.1159/000136485. [DOI] [PubMed] [Google Scholar]
- Carlberg I. Mannervik B. J. Biol. Chem. 1975;250:5475–5480. [PubMed] [Google Scholar]
- Mohandas J. Marshal J. J. Duggin G. G. Horvath J. S. Tiller D. J. Biochem. Pharmacol. 1984;33:1801–1807. doi: 10.1016/0006-2952(84)90353-8. [DOI] [PubMed] [Google Scholar]
- Stevens M. J. Obrosova I. Cao X. Van H. C. Greene D. A. Diabetes. 2000;49:1006–1015. doi: 10.2337/diabetes.49.6.1006. [DOI] [PubMed] [Google Scholar]
- Claiborne A., Catalase Activity, in Handbook of Methods for Oxygen Radical Research, ed. R. A. Greenwald, CRC Press, Boca Raton, FL1985, 1985, pp. 283–284 [Google Scholar]
- Habig W. H. Pabst M. J. Jakoby W. B. J. Biol. Chem. 1974;249:7130–7139. [PubMed] [Google Scholar]
- Lowry O. H. Rosebrough N. J. Farr A. L. J. Biol. Chem. 1951;193:265–275. [PubMed] [Google Scholar]
- Shan R. S. James G. Richard J. C. Lillian Y. Debra H. Yan S. et al. . Appl. Immunohistochem. Mol. Morphol. 1999;7:201–208. [Google Scholar]
- Karen P. Rosalba T. Daisy J. J. Histotechnol. 2002;25:247–250. doi: 10.1179/014788802794791951. [DOI] [Google Scholar]
- Hunter A. J. Mackay K. B. Rogers D. C. Trends Pharmacol. Sci. 1998;19:59–66. doi: 10.1016/S0165-6147(97)01157-7. [DOI] [PubMed] [Google Scholar]
- Longa E. Z. Weinstein P. R. Carlson S. Cummins R. Stroke. 1989;20:84–91. doi: 10.1161/01.STR.20.1.84. [DOI] [PubMed] [Google Scholar]
- Heurteaux C. Laigle C. Blondeau N. Jarretou G. Lazdunski M. Neuroscience. 2005;137:241–251. doi: 10.1016/j.neuroscience.2005.08.083. [DOI] [PubMed] [Google Scholar]
- Kong L. D. Zhang Y. Pan X. Tan R. X. Cheng C. H. Cell. Mol. Life Sci. 2000;57:500–505. doi: 10.1007/PL00000710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zafar K. S. Siddiqui A. Sayeed I. Ahmad M. Salim S. Islam F. Neurochem. 2003;84:438–446. doi: 10.1046/j.1471-4159.2003.01531.x. [DOI] [PubMed] [Google Scholar]
- Liu Z. Li P. Zhao D. Tang H. Guo J. Behav. Brain Funct. 2010;6:61–66. doi: 10.1186/1744-9081-6-61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lin Z. Zhu D. Yan Y. Yu B. Wang Q. Shen P. Ruan K. Altern. Med. 2011:1–7. doi: 10.1093/ecam/nen053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jat D. Parihar P. Kothari S. C. Parihar M. S. Cell. Mol. Biol. 2013;59:1899–1905. [PubMed] [Google Scholar]
- Balasubramanyam M. Koteswari A. A. Kumar R. S. Monickaraj S. F. Maheswari J. U. Mohan V. J. Biosci. 2003;28:715–721. doi: 10.1007/BF02708432. [DOI] [PubMed] [Google Scholar]
- Reddy A. C. Lokesh B. R. Mol. Cell. Biochem. 1994;137:1–8. doi: 10.1007/BF00926033. [DOI] [PubMed] [Google Scholar]
- Reddy A. C. Lokesh B. R. Food Chem. Toxicol. 1994;32:279–283. doi: 10.1016/0278-6915(94)90201-1. [DOI] [PubMed] [Google Scholar]
- Zhu Y. G. Chen X. C. Chen Z. Z. Zeng Y. Q. Shi G. B. Su Y. H. et al. . Acta Pharmacol. Sin. 2004;25:1606–1612. [PubMed] [Google Scholar]
- Granger D. N. Kvietys P. R. Redox Biol. 2015:524–551. doi: 10.1016/j.redox.2015.08.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaltschmidt C. Kaltschmidt B. Baeuerle P. A. Proc. Natl. Acad. Sci. U. S. A. 1995;92:9618–9622. doi: 10.1073/pnas.92.21.9618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baeuerle P. Henkel T. Annu. Rev. Immunol. 1994;12:141–179. doi: 10.1146/annurev.iy.12.040194.001041. [DOI] [PubMed] [Google Scholar]
- Martin-Villalba A. Herr I. Jeremias I. Hahne M. Brandt R. Vogel J. et al. . J. Neurosci. 1999;19:3809–3817. doi: 10.1523/JNEUROSCI.19-10-03809.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Singh S. Aggarwal B. B. J. Biol. Chem. 1995;270:24995–25000. doi: 10.1074/jbc.270.42.24995. [DOI] [PubMed] [Google Scholar]
- Rao C. V. Kawamori T. Hamid R. Reddy B. S. Carcinogenesis. 1999;20:641–644. doi: 10.1093/carcin/20.4.641. [DOI] [PubMed] [Google Scholar]
- Gillespie W. Tyagi N. Tyagi S. C. Indian J. Biochem. Biophys. 2011;48:73–81. [PubMed] [Google Scholar]
- Ashe P. C. Berry M. D. Biol. Psychiatry. 2003;27:199–214. doi: 10.1016/S0278-5846(03)00016-2. [DOI] [PubMed] [Google Scholar]
- Graham S. H. Chen J. J. Cereb. Blood Flow Metab. 2001;21:99–109. doi: 10.1097/00004647-200102000-00001. [DOI] [PubMed] [Google Scholar]
- Love S. Biol. Psychiatry. 2003;27:267–282. doi: 10.1016/S0278-5846(03)00022-8. [DOI] [PubMed] [Google Scholar]
- Wei L. Suwanwela N. C. Suthiluk P. Mol. Med. Rep. 2017;16:4710–4720. doi: 10.3892/mmr.2017.7205. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.