Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-18T08:52:30.793Z Has data issue: false hasContentIssue false

Positive outcomes of oil palm phenolics on degenerative diseases in animal models

Published online by Cambridge University Press:  07 June 2011

Ravigadevi Sambanthamurthi*
Affiliation:
Malaysian Palm Oil Board, 6, Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia
YewAi Tan
Affiliation:
Malaysian Palm Oil Board, 6, Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia
Kalyana Sundram
Affiliation:
Malaysian Palm Oil Council, 2nd Floor, Wisma Sawit, Lot 6, SS6, Jalan Perbandaran, 47301 Kelana Jaya, Selangor, Malaysia
Kenneth C. Hayes
Affiliation:
Brandeis University, 415 South Street, Waltham, MA 02454, USA
Mahinda Abeywardena
Affiliation:
Commonwealth Scientific and Industrial Research Organisation, Gate 13, Kintore Avenue, Adelaide, SA 5000, Australia
Soon-Sen Leow
Affiliation:
Malaysian Palm Oil Board, 6, Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia
Shamala Devi Sekaran
Affiliation:
University of Malaya, 50603Kuala Lumpur, Malaysia
T. G. Sambandan
Affiliation:
Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
ChoKyun Rha
Affiliation:
Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
Anthony J. Sinskey
Affiliation:
Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
Krishnan Subramaniam
Affiliation:
MAHSA University College, Jalan University Campus, 50603 KualaLumpur, Malaysia
Syed Fairus
Affiliation:
Malaysian Palm Oil Board, 6, Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia
Mohd Basri Wahid
Affiliation:
Malaysian Palm Oil Board, 6, Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia
*
*Corresponding author: R. Sambanthamurthi, fax +60 3 8926 1995, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

It is well established that plant phenolics elicit various biological activities, with positive effects on health. Palm oil production results in large volumes of aqueous by-products containing phenolics. In the present study, we describe the effects of oil palm phenolics (OPP) on several degenerative conditions using various animal models. OPP reduced blood pressure in a NO-deficient rat model, protected against ischaemia-induced cardiac arrhythmia in rats and reduced plaque formation in rabbits fed an atherogenic diet. In Nile rats, a spontaneous model of the metabolic syndrome and type 2 diabetes, OPP protected against multiple aspects of the syndrome and diabetes progression. In tumour-inoculated mice, OPP protected against cancer progression. Microarray studies on the tumours showed differential transcriptome profiles that suggest anti-tumour molecular mechanisms involved in OPP action. Thus, initial studies suggest that OPP may have potential against several chronic disease outcomes in mammals.

Type
Full Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Authors 2011

Phenolic phytochemicals are secondary metabolites of plant origin. These metabolites protect the plants against biological and environmental stresses. Because of their important protective biological functions, they are ubiquitous in plants and therefore are found in almost all food groups. Despite their wide distribution, the health effects of dietary phenolics have only recently attracted the interest of nutritionists, more attention having been paid before to antioxidant vitamins such as ascorbic acid, tocopherols and carotenoids. The diversity and structural complexity of phenolics is one of the main factors that have delayed their research.

Emerging epidemiological evidence is increasingly attesting to the positive effects of fruits and vegetables in managing chronic and infectious diseases( Reference Duttaroy and Jorgensen 1 , Reference Gorinstein, Caspi and Libman 2 ). These beneficial effects are attributed to the antioxidant activity of the constituent phenolic metabolites. The phenolic ring and hydroxyl substituents of these compounds can function as effective antioxidants due to their ability to capture free radicals by donating hydrogen atoms or electrons. Their bioactivity may also be related to the ability to chelate metals and inhibit lipo-oxygenases( Reference Decker 3 ). However, the biological effects of phenolics may extend well beyond the modulation of oxidative stress. For example, soya isoflavones modulate endocrine function by interacting with oestrogen receptors( Reference Kuiper, Lemmen and Carlsson 4 ). NO bioavailability influences insulin-stimulated glucose uptake and vascular tone( Reference Grassi, Lippi and Necozione 5 ). There is scientific evidence that phenolics exert significant vascular protection because of their antioxidant properties and increased NO bioavailability. A detailed understanding of the molecular events underlying these various biological effects is essential for evaluation of the overall impact on disease risk and progression.

The importance and demand for natural antioxidants have grown in recent years. Fruit processing residues are attractive and inexpensive sources of phenolic antioxidants. For example, apple pomace has been reported to be a source of polyphenolic compounds( Reference Bhushan, Kalia and Sharma 6 , Reference Cao, Wang and Pei 7 ). In the previous study, we showed that the vegetation liquor from the palm oil milling process is a rich source of phenolics and presented evidence based on in vitro and ex vivo studies that oil palm phenolics (OPP) have free radical-scavenging activity and protective bioactivities against CVD( Reference Sambanthamurthi, Tan and Sundram 8 ). In the present study, we describe in vivo whole animal studies designed to identify specific bioactivities in relation to chronic diseases. The studies provide an indication that OPP may provide protection against major degenerative disorders including CVD, diabetes and cancer.

Materials and methods

Oil palm phenolic samples

For all the animal studies carried out in the present study, OPP was prepared according to the methods described by Sambanthamurthi et al. ( Reference Sambanthamurthi, Tan and Sundram 9 ). OPP contains numerous phenolic acids. There are three isomers of caffeoylshikimic acid that are found to be major components of the extract( Reference Sambandan, Rha and Sinskey 10 ). Other phenolic acids include caffeic acid, protocatechuic acid and p-hydroxybenzoic acid. The detailed composition of OPP is as described earlier( Reference Sambanthamurthi, Tan and Sundram 8 ).

Blood pressure studies

The use of animals in the cardiovascular studies (whole animal blood pressure (BP) and cardiac arrhythmia experiments) was approved by the Commonwealth Scientific and Industrial Research Organisation-Health Sciences and Nutrition Animal Experimentation Ethics Committee. All experimental procedures including the care, handling and maintenance of the experimental animals were performed according to the National Health and Medical Research Council guidelines for the use and care of animals for experimental purposes.

An NO-deficient rat model of hypertension was used. This animal model involves the inhibition of endogenous NO production with N G-nitro-l-arginine methyl ester (l-NAME) that leads to an elevation in BP( Reference Bernatova, Pechanova and Babal 11 ). In this experiment, 12-week-old male Sprague–Dawley rats (Animal Resources Centre, Canning Vale, WA, Australia) were fed a standard laboratory rat diet (Glen Forrest Stock Feeders, Glen Forrest, WA, Australia). OPP was provided as a drink (30 ml/rat per d) from the start of the experiment at two different concentrations: 1500 mg/l gallic acid equivalent (GAE) and 3000 mg/l GAE. After 4 weeks on OPP, rats were challenged with l-NAME (final dosage of 15 mg/kg), and the treatments were continued for a further 8 weeks. The four experimental groups included (1) control, (2) l-NAME, (3) l-NAME+OPP (1500 mg/l GAE) and (4) l-NAME+OPP (3000 mg/l GAE).

BP was monitored fortnightly by a standard photoelectric tail-cuff procedure (IITC Life Sciences, Woodlands Hills, CA, USA) as described previously( Reference Mano, Bexis and Abeywardena 12 , Reference Chen, Gruber and Swist 13 ). Briefly, pre-trained rats were placed in restraining tubes (IITC models 805 and 815), and the tails were occluded with an appropriate-sized cuff coupled to a pneumatic pulse transducer and electrophysiograph (IITC model 65-12). The pulse was detected as the cuff pressure was reduced, and the pressure at which the first pulse was detected was taken as the systolic BP and computed automatically (IITC software package). The ambient temperature was carefully controlled (30°C), and the average of three to four readings was taken as the final reading.

Cardiac arrhythmia studies

In this experiment, 4-week-old male Wistar Kyoto rats (n 25), sourced from the Animal Resources Centre, were fed a pro-arrhythmic diet (consisted of a standard laboratory diet further supplemented with 5 % (w/w) lard; Glen Forrest Stock Feeders) for 4 months in the presence or absence of OPP. OPP was provided as the drinking fluid (35 ml/rat per d) at a concentration of 1500 mg/l GAE. The control group received water. At the end of the feeding period, animals were subjected to acute myocardial ischaemia for 30 min by a temporary occlusion of the left anterior descending coronary artery, and the vulnerability to ventricular tachycardia, ventricular fibrillation (VF) and sudden cardiac death was quantified( Reference McLennan, Abeywardena and Charnock 14 , Reference Abeywardena and Charnock 15 ).

Atherosclerosis studies

A total of twenty-seven male New Zealand White rabbits, aged 4–5 months, were obtained from the Institute of Medical Research, Kuala Lumpur, Malaysia, after ethical clearance on all animal experimental procedures involving animals was obtained from the Animal Care and Use Committee of the National University of Malaysia, Bangi, Selangor, Malaysia. These animals were divided into three groups of nine and fed an atherogenic diet for 100 d. The diet contained 35 % energy from fat, 40 % energy from carbohydrate and 25 % energy from protein, with added cholesterol (0·15 %, w/w). The fat comprised 67·1 % SFA, primarily as lauric acid (12 : 0) and myristic acid (14 : 0). The control group was fed the atherogenic diet and provided distilled water as the sole drinking-water. OPP were tested at two concentrations in two groups of nine animals each, and these animals were fed the atherogenic diet and supplemented with OPP at a concentration of either 500 or 1000 mg/l GAE in the drinking fluid. At the end of the animal feeding, the rabbits were killed by exsanguination following anaesthetisation with a mixture of ketamine and zoletil (0·1 ml/kg body weight), and entire aortas were traced, dissected and fixed in 10 % (v/v) formalin. The aortas were then stained with Oil Red-O, which resulted in lipid deposits in the aortas being stained red. Delineation of atheromatous deposits in the intima and lesions were quantified using a digital image analysis system, as described by Paigen et al. ( Reference Paigen, Morrow and Holmes 16 ). Fibrous and fatty plaques, fatty streaks and lesion-free areas of the aorta were quantified as percentage of total aorta area examined.

Anti-diabetic studies and clinical biochemistry analysis

To examine OPP for possible protective effects against diabetes, Nile rats (Arvicanthis niloticus), also known as African grass rats, from the Brandeis University breeding colony, were studied as the model of choice. In captivity, Nile rats fed a standard rat chow develop type 2 diabetes and exhibit all aspects of the metabolic syndrome examined to date( Reference Chaabo, Pronczuk and Maslova 17 , Reference Noda, Melhorn and Zandi 18 ). All animal experiments were conducted in accordance with protocols approved by the Animal Care Committee of Brandeis University.

A total of fourteen 12-week-old male Nile rats fed a standard rat chow (Lab Diet no. 5020; Purina Mills, St Louis, MO, USA) were divided into two equal groups and studied for a 17-week period. The treatment group drank OPP at 1800 mg/l GAE as their water supply, whereas the untreated group received distilled water. A shorter pilot study indicated that treatment effects could be expected between 900 and 1800 mg/l GAE. The animals were weighed initially and before killing by exsanguination under anaesthesia at the end of the 17-week period.

Fasting blood glucose was measured in tail blood following light anaesthesia (CO2+O2, 1:1 mixture) at study origin after the rats were deprived of food for 15 h overnight. Glucose was measured with an Elite XL glucometer (Bayer Company, Elkhart, IN, USA) standardised against a conventional spectrophotometric assay.

For terminal measurement of plasma TAG, total cholesterol (TC) and insulin, fasting blood samples were collected by cardiac puncture under O2/CO2 anaesthesia and placed in plastic vials moistened with EDTA. Plasma TAG and TC were determined spectrophotometrically using Infinity™ kits (TAG ref no. TR22421, TC ref no. TR13421; ThermoScientific, Waltham, MA, USA). Insulin was determined using an ELISA kit for rat insulin (Linco Research, St Charles, MO, USA).

Liver lipids (TAG and TC) were extracted from 0·1 g of tissue ground with 4 g of sodium sulphate using a 2:1 chloroform–methanol solution. Total extract was combined and dried under N2 and redissolved in 1 ml of chloroform. An aliquot (10–20 μl) of each sample was dried under N2 and dissolved in 50 μl of Triton X-100 and chloroform (1:1 by volume). The solution was dried extensively to remove chloroform. TAG and TC were then determined using the appropriate Infinity™ kits.

Anti-tumour studies and microarray gene expression analysis

In this experiment, 6-week-old male inbred BALB/c mice were purchased from the Institute of Medical Research, after ethical clearance on all experimental procedures involving animals was obtained from the Animal Care and Use Committee of the University of Malaya, Kuala Lumpur, Malaysia. The mice were injected subcutaneously at the dorsum of the neck with IgA-secreting J558 mouse myeloma cells (ATCC TIB-6) after acclimatisation for 1 week. The mice were then divided into two groups, one group was given distilled water (n 15) and the other was given OPP (1500 mg/l GAE) (n 15). The mice were killed by exsanguination under anaesthesia after 4 weeks, when the presence of tumours was observed through palpation at the neck. Tumours were excised, weighed, their dimensions (length, width and height) measured, snap-frozen in liquid N2 and stored at − 80°C. Tumour volume was calculated with the formula π/6 × length × width × height, which has the highest correlation with tumour mass as this is the formula of an ellipsoid( Reference Tomayko and Reynolds 19 , Reference Zielinski, Muenchow and Wallig 20 ), which was the shape of the subcutaneous J558 tumours in the present study.

All precautions in handling RNA were taken in the present study. Total RNA isolation from mouse tumours was carried out using the RNeasy Mini Kit (Qiagen, Inc., Valencia, CA, USA) and QIAshredder homogeniser (Qiagen, Inc.). The total RNA samples obtained were subjected to a NanoDrop 1000A Spectrophotometer for yield and purity assessment. Integrity of the total RNA samples was then assessed using the Agilent 2100 Bioanalyser (Agilent Technologies, Santa Clara, CA, USA) and Agilent RNA 6000 Nano Chip Assay Kit (Agilent Technologies). A total of four total RNA samples with the highest RNA integrity numbers and 28S/18S rRNA ratios within each condition were then selected for microarray studies.

Amplification of total RNA samples, which were of high yield, purity and integrity, was carried out using the Illumina TotalPrep RNA Amplification Kit (Ambion, Inc., Austin, TX, USA). The biotinylated-complementary RNA produced was then hybridised to the Illumina MouseRef-8 Expression BeadChip version 1 (Illumina, Inc., San Diego, CA, USA) using the Direct Hybridisation Kit (Illumina, Inc.). Illumina MouseRef-8 Expression BeadChips contained 50-mer gene-specific probes for over 24 000 genes, which were designed based on the Mouse Exonic-Evidence-Based Oligonucleotide set, the RIKEN FANTOM 2 database and the National Center for Biotechnology Information RefSeq (Release 5) transcript database. Microarray hybridisation, washing and scanning were carried out according to the manufacturer's instructions.

In brief, complementary RNA was added to a hybridisation buffer, and the hybridisation mixture was then briefly heated and hybridised to an Illumina BeadChip. The hybridised microarray then underwent a series of washes using the wash buffers provided and 100 % (v/v) ethanol (Merck, Darmstadt, Germany). Non-specific hybridisation was blocked before incubating the microarray with the Amersham Fluorolink Streptavidin Cy-3 dye (GE Healthcare Bio-Sciences, Little Chalfont, UK) for detection, followed by a final wash with the wash buffer. The microarray was then dried and scanned with the Illumina BeadArray Reader confocal scanner and Illumina BeadScan software (Illumina, Inc.), available at the Malaysia Genome Institute, National University of Malaysia. The raw gene expression data obtained are available at Gene Expression Omnibus( Reference Edgar, Domrachev and Lash 21 ) (accession no. GSE17614).

Quality control of the hybridisation, microarray data extraction and initial analysis were carried out using the Illumina BeadStudio software (Illumina, Inc.). Outlier samples were removed via hierarchical clustering analysis provided by the Illumina BeadStudio software and also using the TIGR MeV software (Institute for Genomic Research, Rockville, MD, USA)( Reference Saeed, Sharov and White 22 ), via different distance metrics. A minimum of three replicates per condition (with outliers removed) was then considered for further analysis. Gene expression values were normalised using the rank invariant method, and genes that had a detection level of more than 0·99 in either the control or treatment samples were considered significantly detected. To filter the data for genes that changed significantly in terms of statistics, the Illumina custom error model was used and genes were considered significantly changed at a ‘Differential Score’ of more than 13, which was equivalent to a P value of < 0·05.

The genes and their corresponding data were then exported into the Microsoft Excel software (Microsoft Corporation, Richmond, WA, USA) for further analysis. To calculate fold changes, an arbitrary value of 10 was given to expression values, which were less than 10. Fold changes were then calculated by dividing means of Signal Y (treatment) with means of Signal X (control) if the genes were up-regulated and vice versa if the genes were down-regulated. A two-way (gene and sample) hierarchical clustering of the significant genes was then performed using the TIGR MeV software( Reference Saeed, Sharov and White 22 ) to ensure that the replicates of each condition were clustered to each other. The Euclidean distance metric and average linkage method were used to carry out the hierarchical clustering analysis.

Changes in biological pathways and gene ontologies were assessed via functional analysis, using GenMAPP( Reference Dahlquist, Salomonis and Vranizan 23 ) and MAPPFinder( Reference Doniger, Salomonis and Dahlquist 24 ) software (both University of California at San Francisco, San Francisco, CA, USA). The MAPPFinder software ranks GenMAPP (pathways) and gene ontologies based on the hypergeometric distribution. Readers are referred to Doniger et al. ( Reference Doniger, Salomonis and Dahlquist 24 ) for further explanations of the terms used in the MAPPFinder software. GenMAPP and gene ontologies that had permuted P values of less than 0·05, number of genes changed of more than or equal to 2 and Z scores of more than 2 were considered significant. Boxes coloured yellow indicate genes that were up-regulated, while those coloured blue indicate genes that were down-regulated. Individual boxes that have different shadings within them indicate the presence of multiple probes (splice transcripts) within a single gene.

Changes in regulatory networks were also analysed through the use of the Ingenuity Pathways Analysis software (Ingenuity Systems, Redwood City, CA, USA). For each organ, a dataset containing differentially expressed genes and their corresponding fold changes was uploaded into the application. Analysis of up-regulated and down-regulated genes was carried out separately. Each gene identifier was mapped to its corresponding gene object in the Ingenuity Pathways Knowledge Base. These genes were then overlaid onto a global molecular network developed from information contained in the Ingenuity Pathways Knowledge Base. Networks of these focus genes were then algorithmically generated based on their connectivity. A network is a graphical representation of the molecular relationships between genes or gene products. Genes or gene products were represented as nodes (shapes), and the biological relationship between two nodes was represented as an edge (line). The intensity of the node colour indicates the degree of up-regulation (red) or down-regulation (green). Nodes were displayed using various shapes that represented the functional class of the gene product. Edges were displayed with various labels that described the nature of the relationship between the nodes.

We carried out two-step real-time quantitative RT-PCR (qRT-PCR) studies on target genes selected to represent the tumours used in the microarray experiments, using TaqMan Gene Expression Assays (Applied Biosystems, Foster City, CA, USA). Primer and probe sets for the selected genes were obtained from the ABI Inventoried Assays-On-Demand (Applied Biosystems). Reactions were carried out according to the manufacturer's instructions. Quality control of the replicates used, real-time qRT-PCR data extraction and initial analysis were carried out using the 7000 Sequence Detection System software (Applied Biosystems). Relative quantification of the target genes of interest was carried out using the qBase 1.3.5 software (Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium)( Reference Hellemans, Mortier and De Paepe 25 ), which takes into account the calculations of amplification efficiencies and multiple reference genes. Expression levels of target genes were normalised to the geometric mean of the three most stable reference genes, chosen from the four tested, namely RAS p21 protein activator 1 (Rasa1), sema domain Ig domain (Ig) transmembrane domain and short cytoplasmic domain (semaphorin) 4A (Sema4a), protein-tyrosine sulfotransferase 2 (Tpst2), and eukaryotic 18S rRNA endogenous control (18S rRNA). The first three reference genes were selected based on the microarray data, while the fourth is a common reference gene used in real-time qRT-PCR experiments. Stability of these reference genes was assessed using the geNorm 3.5 software (Center for Medical Genetics)( Reference Vandesompele, De Preter and Pattyn 26 ).

Statistical analysis

Data were analysed using the Statistical Analysis System program. The experimental results are expressed as means and standard deviations, unless otherwise stated. A two-tailed unpaired Student's t test (comparison of two groups) or ANOVA (comparison of more than two groups) was performed, and significant differences between means were determined. Where appropriate, the required post hoc statistical analyses were applied for a more robust outcome. These are indicated and explained in the appropriate tables and figures. For all outcomes, P< 0·05 was considered statistically significant.

Results and discussion

Oil palm phenolic samples

OPP in oil palm vegetation liquor ranged from 1·38 to 2·43 % on a dry weight basis( Reference Sambandan, Rha and Sinskey 10 ). The remaining 98 % on a dry weight basis consists of fruit sugars, soluble fibres, organic acids and water-soluble vitamins, etc. It is known that phenolics are minor components in all plants, similar to other phytonutrients such as carotenoids and tocols (vitamin E). However, they are only needed in small quantities to affect a biological response. Since the present study is the first to test the effects of OPP on animals, we arbitrarily chose 500 mg/l GAE as the lowest concentration to investigate whether there were any biological effects on animals. Having determined the positive effects, we moved on to test a whole range of concentrations, with 500 mg/l GAE as the lowest dose and 3000 mg/l GAE as the highest dose. For the anti-diabetic study with Nile rats, a shorter pilot study has indicated that treatment effects could be expected between 900 and 1800 mg/l GAE (data not shown). As such, in the present study, we report the results for the highest dose tested (1800 mg/l GAE). In rat studies, the volume of OPP given was 30–35 ml/d for all concentrations tested. Based on an average rat weight of 300 g, this would be equivalent to the consumption of about 1000 ml of OPP by a 60 kg human subject, which is calculated based on the body surface area normalisation method( Reference Reagan-Shaw, Nihal and Ahmad 27 ).

Cardiovascular protection

In vivo animal studies assessed the possible cardioprotective effects of OPP. These include studies on BP regulation in rats treated with l-NAME, an inhibitor of NO synthase, cardiac arrhythmia studies using rat models of coronary artery ligation and atherosclerosis studies using rabbits.

In BP regulation studies, 12-week-old Sprague–Dawley rats were supplemented at two different doses of OPP (1500 and 3000 mg/l GAE) for 4 weeks before being treated with l-NAME. At 10 mg/kg, l-NAME resulted in a sharp rise in BP (18 mmHg) in the l-NAME control group (Fig. 1). However, no such initial rise was observed in rats that were treated with OPP. An increase in l-NAME dosage to 15 mg/kg resulted in a gradual increase in BP in OPP-treated rats over time. This was in contrast to the untreated control group, where l-NAME-treated (15 mg/kg) rats developed significantly higher BP values. This protection against hypertension by OPP was greater in rats at the higher dose (Fig. 1).

Fig. 1 Reduction in blood pressure (BP) by oil palm phenolics (OPP). Values were significantly different as assessed by two-tailed unpaired Student's t test compared with the N G-nitro-l-arginine methyl ester (l-NAME) group (n 12): * P< 0·05, ** P< 0·01, *** P< 0·001. , Control; , l-NAME; , l-NAME+OPP (1500 gallic acid equivalents (GAE)); , l-NAME+OPP (3000 GAE).

Oral administration of OPP thus lowered BP in a NO-deficient rat model of hypertension and is consistent with the observations made with isolated vascular preparations described in the previous study( Reference Sambanthamurthi, Tan and Sundram 8 ). In addition to the possible direct effect on the endothelial NO synthase system, OPP being an antioxidant may have scavenged the increased reactive oxygen species associated with l-NAME, thus reducing or inhibiting oxidative stress central to the development of hypertension and atherosclerosis. Therefore, OPP may have broad applications in modulating NO in chronic syndromes such as CVD.

The potential cardioprotective effect of OPP was also evaluated using an in vivo rat model of cardiac arrhythmia and sudden cardiac death, following a long-term dietary regimen. At the end of the 4-month feeding period, rats were subjected to myocardial ischaemia by ligating and hence occluding the coronary artery. The vulnerability to ventricular tachycardia, VF and sudden cardiac death was measured. The incidence of ventricular tachycardia was not influenced by OPP, but there was a trend (not significant) towards a lower mean duration of ventricular tachycardia (Table 1). In contrast, OPP at 1500 mg/l in drinking-water resulted in a significantly lower incidence (P< 0·05, χ2) of VF. Of the twenty-five rats, thirteen (52 %) went into VF compared with twenty-one out of twenty-three rats (91 %) in the unsupplemented controls. Rats receiving OPP also had a significantly shortened (P< 0·05 or better) duration of VF. The overall mortality in the OPP group was five out of twenty-five (20 %) compared with nine out of twenty-three (40 %) in the control group. No significant difference was evident in the area of the myocardium that was rendered ischaemic by ligation of the coronary artery, suggesting that these observations were independent of the surgical procedure.

Table 1 Reduction of vulnerability to ventricular tachycardia (VT), ventricular fibrillation (VF) and mortality in rat models of cardiac arrhythmia (Mean values, standard deviations and percentages)

OPP, oil palm phenolics; GAE, gallic acid equivalent.

* Values were significantly different (P< 0·05).

As atherosclerosis represents an important component of CVD, the development of atherosclerosis was assessed in rabbits fed a high-fat, cholesterol-rich atherogenic diet. As expected, control rabbits fed this atherogenic diet developed extensive fibrous and fatty plaques as well as fatty streaks in their aortas (Table 2). On the other hand, animals given the same atherogenic diet but supplemented with OPP as drinking fluid resulted in significantly reduced fatty plaques and fatty streaks. In addition, lesion-free areas in OPP-supplemented animals were more prevalent, indicating a net protection against the development and progression of atherosclerosis. The morphology and progression of atheromatous lesions in rabbits were similar to that described in human atheromatous lesions( Reference Yanni 28 ). While the results obtained may not be directly translated to human subjects, it is nonetheless strong evidence of bioactivity and hence bioavailability.

Table 2 Inhibition of the development of aortic lesions in rabbits fed an atherogenic diet* (Mean values and standard deviations, n 9)

OPP, oil palm phenolics; GAE, gallic acid equivalent.

a,b,cMean values with like superscript letters were significantly different from each other (P< 0·05).

* Values are percentage of total aorta area (mm2).

Raised nodular lesions, continuous, intense red, white hard and visible to naked eyes.

Raised distinct lesions, intensely stained red.

§ Lipid accumulation, stained light red.

Healthy intima.

Protection against diabetes

Providing OPP ad libitum at 1800 mg/l GAE as the sole drinking fluid for 17 weeks blocked diabetes progression (hyperglycaemia and hyperlipaemia) in 12-week-old male Nile rats as evidenced by normalisation of initially elevated blood glucose and plasma lipids (Table 3). Rats that were not supplemented with OPP eventually progressed to severe polyuria and polydipsia with enlarged kidneys and livers. Fasting blood glucose levels at the start of the experiment indicated early diabetes in the OPP-treated group (1250 mg/l on average), which subsequently improved after 17 weeks of OPP treatment (480 mg/l), while glucose in the untreated rats rose from pre-diabetic (870 mg/l) to diabetic (1370 mg/l) levels. Normal glucose in Nile rats ranges from about 400 mg/l at weaning to about 900 mg/l as non-diabetic young adults. Values exceeding 4000 mg/l are common in non-fasting diabetic adult rats. Slightly higher plasma insulin in the treatment group suggests that OPP may have enhanced insulin production, even as β-cells failed in the controls( Reference Hayes, Sundram and Sambanthamurthi 29 ). Plasma lipids including TAG and TC in untreated rats were severely elevated by the end of the study compared with rats receiving OPP, which had plasma lipid values that were essentially normal.

Table 3 Anti-diabetic effects of oil palm phenolics (OPP)* (Mean values and standard deviations, n 7)

GAE, gallic acid equivalent; TC, total cholesterol.

* Male Nile rats, 12 weeks old, were fed standard chow 5020 and drinking-water or OPP for 17 weeks.

Mean values were significantly different (P< 0·05).

Wild-type Nile rats exhibit extensive variation in their rate of developing diabetes( Reference Chaabo, Pronczuk and Maslova 17 ), so the plasma TC and TAG elevation varies based on their degree of diabetes. But when the extent of individual hyperglycaemia is correlated with TC, and especially with TAG, the relationship is extremely powerful, with R correlation values obtained typically >0·70–0·75. This is also true for relationships between liver weight and blood glucose, and between kidney weight and blood glucose. Thus, the parameters evaluated in the present study (glucose, TC, TAG, liver and kidney weights) are good markers of diabetic status and the metabolic syndrome, and all are highly interrelated, as one would predict for diabetes and the metabolic syndrome in human subjects. Elevated TAG, hyperglycaemia, depressed HDL and fatty liver are common to this animal model and the human disease( Reference Chaabo, Pronczuk and Maslova 17 ). It is important to note that while some of the seven control rats were diabetic by the end of the present study (blood glucose >1100 mg/l), none of the OPP group was diabetic (blood glucose < 1000 mg/l). The probability that this was not due to chance was significant at P< 0·05, with the means being especially supported by the observation that blood glucose levels in most of the rats receiving OPP declined, whereas those in most of the controls increased. Expressing the data as percentage of change would have been more striking, but that would deprive the reader of appreciating the true biological variation that was observed in the present study. Furthermore, the effect of OPP on diabetes was confirmed statistically (despite the inherent variation) by all the other criteria (TAG, TC, liver and kidney weights).

The present results thus imply that OPP protects against (and may even reverse) early type 2 diabetes characterised by hyperglycaemia and hyperlipaemia in a model that develops spontaneous diabetes when fed typical rat chow. This is in line with the knowledge that phenolics confer anti-diabetic effects via various mechanisms, including reducing oxidative stress( Reference Fukuda, Ito and Yoshida 30 ) and lipid peroxidation( Reference Fenercioglu, Saler and Genc 31 ), defending pancreatic cells from oxidative damage( Reference Lapidot, Walker and Kanner 32 ), protecting lymphocytes from DNA damage( Reference Lean, Noroozi and Kelly 33 ), as well as preserving vascular functions in diabetic complications( Reference Balzer, Rassaf and Heiss 34 ). Mulvihill et al. ( Reference Mulvihill, Allister and Sutherland 35 ) reported that naringenin attenuated dyslipaemia and hyperinsulinaemia in LDL receptor null mice with diet-induced insulin resistance. Anderson( Reference Anderson 36 ) reported that cinnamon polyphenols improved insulin sensitivity in vitro and in individuals with type 2 diabetes. Subjects with the metabolic syndrome who consumed an aqueous extract of cinnamon have been shown to have improved fasting blood glucose, systolic BP, percentage body fat and lean body mass compared with the placebo group. Huang et al. ( Reference Huang, Shen and Wu 37 ) investigated the effects of caffeic and cinnamic acids on glucose uptake by insulin-resistant mouse liver FL83B cells. Their results suggested that these phenolic acids promoted insulin receptor tyrosyl phosphorylation, up-regulated the expression of insulin signal-associated proteins (insulin receptor, phosphatidylinositol-3 kinase, glycogen synthase and GLUT-2), increased the uptake of glucose, and therefore alleviated insulin resistance in the cells.

Insulin resistance is the main trigger for the metabolic syndrome and is a consequence of the inability of insulin to efficiently signal its receptor kinase and/or downstream targets. Assuming OPP can be found to attenuate metabolic disorders linked to insulin resistance in other systems, it holds promise for this aspect of the metabolic syndrome.

Anti-tumour effects

The possible anti-tumour properties of OPP were studied using 7-week-old BALB/c mice subcutaneously inoculated with syngeneic J558 mouse myeloma cells. All animals were given standard rodent chow in this experiment. The test animals were given OPP (1500 mg/l GAE) ad libitum as the sole fluid source, while the control animals received distilled water. No significant differences were observed in tumour incidence (Fig. 2(a)), as the entire tumour mass typically grows at the site of injection. However, this experiment revealed a significant reduction in tumour volume (Fig. 2(b)) and weight (Fig. 2(c)) in the OPP-treated group.

Fig. 2 In vivo anti-tumour effects of oil palm phenolics. (a) Tumour incidence, (b) tumour volume reduction and (c) tumour weight reduction. * Values were significantly different as assessed by the two-tailed unpaired Student's t test, n 12–13 (P< 0·05).

As an extension to this anti-tumour observation, we explored the possible molecular mechanisms involved by using microarray analysis. Functional analysis carried out using microarray data obtained from tumours of mice indicated that genes involved in the cell cycle were differentially expressed (Fig. 3(a)) in the OPP-treated group. The genes and functions significantly affected by OPP are listed in supplementary materials (available online at http://www.journals.cambridge.org/bjn). On the one hand, genes such as cyclin D2 (Ccnd2), cyclin E2 (Ccne2), cyclin-dependent kinase 4 (Cdk4) and cyclin-dependent kinase 2 (Cdk2) were up-regulated by OPP. On the other hand, genes such as cyclin A2 (Ccna2), cyclin B1 (Ccnb1), polo-like kinase 1 (Plk1), mitotic arrest deficient 2, homologue-like 1 (Mad2l1), cell division cycle 20 homologue (Cdc20), histone deacetylase 6 (Hdac6) and minichromosome maintenance deficient 6 (Mcm6) were down-regulated by OPP. The directions and fold changes for two of these genes, Ccne2 and Ccna2, obtained from real-time qRT-PCR, were comparable with those obtained using the microarray technique (Fig. 3(b)), thus validating the microarray results obtained.

Fig. 3 Microarray analysis results obtained from the anti-tumour studies of oil palm phenolics (OPP). (a) Genes differentially expressed in the tumour cell cycle pathway as indicated by the GenMAPP analysis indicate cytostatic effects of OPP (Illumina custom error model P< 0·05, n 3–4). The figure is adapted from KEGG and maintained by GenMAPP.org. (b) Gene expression fold changes of two cell-cycle genes as determined by microarray and real-time quantitative RT-PCR experiments were comparable, thus validating the microarray results obtained. (c) Genes down-regulated in the Stat3 and Cxcl12 network generated by the Ingenuity Pathways Analysis software indicate possible anti-invasiveness and anti-metastatic potential of OPP. , Microarray; , real-time quantitative RT-PCR. ORC, origin recognition complex; MCM, mini-chromosome maintenance; MAPK, mitogen-activated protein kinase; SCF, Skp1/Cul1/F-box complex; ARF, alternative reading frame; APC/C, anaphase-promoting complex/cyclosome; MEN, mitotic exit network; CT, cancer-tumours.

The regulation of cell-cycle genes found in the present study suggests that OPP may inhibit tumour growth in vivo by inducing a G1/S phase arrest in the cell cycle( Reference Schwartz and Shah 38 ). This is consistent with observations made in several cancer cell lines, in which cell-cycle arrest was brought about by other phenolic antioxidants such as phenolic acids( Reference Kampa, Alexaki and Notas 39 ), hydroxytyrosol( Reference Fabiani, De Bartolomeo and Rosignoli 40 , Reference Fabiani, De Bartolomeo and Rosignoli 41 ), resveratrol( Reference Joe, Liu and Suzui 42 ), piceatannol( Reference Wolter, Clausnitzer and Akoglu 43 ), genistein( Reference Raffoul, Wang and Kucuk 44 ) and luteolin( Reference Lim do, Jeong and Tyner 45 ). Interestingly, the same genes that we found to be significantly changed by OPP were also found to be regulated, but in the opposite direction, in colorectal tumour cells resistant to a combined chemotherapy of folinic acid, 5-fluorouracil and irinotecan( Reference Graudens, Boulanger and Mollard 46 ). The opposite direction of regulation of these genes by OPP thus indicates that OPP may help sensitise tumour cells towards chemotherapy, and suggests that it might be used together with selected chemotherapeutic agents for enhanced cytotoxicity in cancer cells.

Furthermore, genes that are normally associated with cancer proliferation and invasion such as signal transducer and activator of transcription 3 (Stat3) and chemokine (C–X–C motif) ligand 12 (Cxcl12) were also down-regulated by OPP (Fig. 3(c)). Stat3 signalling is oncogenic and is required for the transformation of various primary cancer and tumour-derived cell lines. Thus, many cancer-derived cell lines that contain constitutively activated Stat3 are dependent on this protein, and they undergo growth arrest or apoptosis when treated with antisense or dominant negative constructs directed at Stat3 ( Reference Bromberg 47 ). Niu et al. ( Reference Niu, Wright and Ma 48 ) showed that blocking Stat3 in cancer cells up-regulates the expression of p53, leading to p53-mediated tumour cell apoptosis. In addition, inhibition of constitutive Stat3 activity in haematopoietic malignancies such as non-Hodgkin's lymphoma and multiple myeloma sensitises these resistant cancers to chemotherapeutic drug-mediated apoptosis( Reference Alas and Bonavida 49 ), as well as suppresses the growth of prostate( Reference Ni, Lou and Leman 50 ) and astrocytoma( Reference Konnikova, Kotecki and Kruger 51 ) cancer cells. In agreement with this, resveratrol, which has been reported to have anti-tumour properties, was also found to inhibit Stat3 signalling in transformed mouse fibroblasts as well as human breast, pancreatic and prostate carcinoma cell lines( Reference Kotha, Sekharam and Cilenti 52 ).

The most invasive cancers normally produce the broadest spectrum and the highest levels of chemokines( Reference Opdenakker and Van Damme 53 ). An important example of a cytokine receptor pair involved in cancer invasion and metastasis is Cxcl12/Cxcr4. In vitro, the CXCL12 ligand stimulated breast cancer cells to carry out the basics of invasion, including pseudopodial protrusion, directed migration and penetration of extracellular matrix barriers( Reference Liotta and Kohn 54 ). In vivo, metastasis to CXCL12-rich lung tissue was blocked in animal models by treatment with a neutralising anti-human CXCR4 monoclonal antibody( Reference Liotta and Kohn 54 ). Cxcl12 is also an important mediator of advanced cancer and contributes significantly to the lethal phenotype( Reference Loberg, Bradley and Tomlins 55 ). Tannic acid, a water-soluble polyphenol, which is abundant in Chinese herbal medicines and tea, is a Cxcl12/Cxcr4 inhibitor, and this activity may contribute to its anti-inflammatory, anti-angiogenic and anti-tumour properties( Reference Chen, Beutler and McCloud 56 ). In the present study, the down-regulation of Cxcl12 in tumours of OPP-treated mice thus suggests a reduction in invasiveness and, possibly, metastatic potential of these tumours.

Conclusions

The array of bioactivities displayed by OPP suggests its potential application for a range of chronic diseases. While the biological effects observed in the present study are mainly attributed to phenolic compounds, the possible effects of other components cannot be discounted. What is important is that the extract in its entirety confers the positive outcomes reported in the present study. However, the effects of OPP in human subjects have yet to be shown, and we are currently designing human intervention trials to address this issue. Although we do not have information on the actual bioactive metabolites that reach the target organs, the breadth of biological activities observed in the present study indicates that OPP is bioavailable in animals and triggers a central regulatory response, which modulates key metabolic functions. In addition to the anti-tumour mechanisms observed in the present study, the use of genome-scale techniques to identify the molecular modes of action involved in conferring the biological effects of OPP in other chronic diseases is thus very much called for.

Acknowledgements

The present study was fully supported by the Malaysian Palm Oil Board. There are no conflicts of interest. R. S. conceived the study, participated in its design and coordination, drafted the preliminary manuscript and prepared the OPP extract. Y. A. T. participated in the conception and design of the study, preparation of OPP and drafting of the manuscript. K. Sun. was involved in the conception and design of the study and participated in the atherosclerosis studies. K. C. H. carried out the diabetic studies in Nile rats. M. A. performed the BP and cardiac arrhythmia studies. S.-S. L. carried out the microarray and real-time qRT-PCR experiments. S. D. S. provided the J558 mouse myeloma cells and helped in the cancer studies. T. G. S., C. K. R., A. J. S. and K. Sub. were involved in the conception and design of the study. S. F. participated in the preparation of the extract. M. B. W. participated in the design of the study. All authors participated in helpful discussions and read as well as approved the final manuscript. The authors also gratefully acknowledge the technical assistance of the staff of Metabolics and Analytical Research Laboratories of the Malaysian Palm Oil Board.

References

1 Duttaroy, AK & Jorgensen, A (2004) Effects of kiwi fruit consumption on platelet aggregation and plasma lipids in healthy human volunteers. Platelets 15, 287292.CrossRefGoogle ScholarPubMed
2 Gorinstein, S, Caspi, A, Libman, I, et al. (2004) Preventive effects of diets supplemented with sweetie fruits in hypercholesterolemic patients suffering from coronary artery disease. Prev Med 38, 841847.CrossRefGoogle ScholarPubMed
3 Decker, EA (1995) The role of phenolics, conjugated linoleic acid, carnosine, and pyrroloquinoline quinone as nonessential dietary antioxidants. Nutr Rev 53, 4958.CrossRefGoogle ScholarPubMed
4 Kuiper, GG, Lemmen, JG, Carlsson, B, et al. (1998) Interaction of estrogenic chemicals and phytoestrogens with estrogen receptor beta. Endocrinology 139, 42524263.CrossRefGoogle ScholarPubMed
5 Grassi, D, Lippi, C, Necozione, S, et al. (2005) Short-term administration of dark chocolate is followed by a significant increase in insulin sensitivity and a decrease in blood pressure in healthy persons. Am J Clin Nutr 81, 611614.CrossRefGoogle Scholar
6 Bhushan, S, Kalia, K, Sharma, M, et al. (2008) Processing of apple pomace for bioactive molecules. Crit Rev Biotechnol 28, 285296.CrossRefGoogle ScholarPubMed
7 Cao, X, Wang, C, Pei, H, et al. (2009) Separation and identification of polyphenols in apple pomace by high-speed counter-current chromatography and high-performance liquid chromatography coupled with mass spectrometry. J Chromatogr A 1216, 42684274.CrossRefGoogle ScholarPubMed
8 Sambanthamurthi, R, Tan, YA, Sundram, K, et al. (2011) Oil palm vegetation liquor: a new source of phenolic bioactives. Br J Nutr 106, 16551663.CrossRefGoogle ScholarPubMed
9 Sambanthamurthi, R, Tan, YA, Sundram, K (2008) Treatment of vegetation liquors derived from oil-bearing fruit. United States Patent US 7,387,802 B2. Malaysian Palm Oil Board.Google Scholar
10 Sambandan, TG, Rha, CK, Sinskey, AJ, et al. (2010) Composition comprising caffeoylshikimic acids, protocatechuic acid, hydroxytyrosol, hydroxybenzoic acid and their derivatives and method of preparation thereof. World Patent WO 2010/137943. Malaysian Palm Oil Board.Google Scholar
11 Bernatova, I, Pechanova, O, Babal, P, et al. (2002) Wine polyphenols improve cardiovascular remodeling and vascular function in NO-deficient hypertension. Am J Physiol Heart Circ Physiol 282, H942H948.CrossRefGoogle ScholarPubMed
12 Mano, MT, Bexis, S, Abeywardena, MY, et al. (1995) Fish oils modulate blood pressure and vascular contractility in the rat and vascular contractility in the primate. Blood Press 4, 177186.CrossRefGoogle ScholarPubMed
13 Chen, Q, Gruber, H, Swist, E, et al. (2009) Influence of dietary phytosterols and phytostanols on diastolic blood pressure and the expression of blood pressure regulatory genes in SHRSP and WKY inbred rats. Br J Nutr 102, 93101.CrossRefGoogle ScholarPubMed
14 McLennan, PL, Abeywardena, MY & Charnock, JS (1988) Dietary fish oil prevents ventricular fibrillation following coronary artery occlusion and reperfusion. Am Heart J 116, 709717.CrossRefGoogle ScholarPubMed
15 Abeywardena, MY & Charnock, JS (1995) Dietary lipid modification of myocardial eicosanoids following ischemia and reperfusion in the rat. Lipids 30, 11511156.CrossRefGoogle ScholarPubMed
16 Paigen, B, Morrow, A, Holmes, PA, et al. (1987) Quantitative assessment of atherosclerotic lesions in mice. Atherosclerosis 68, 231240.CrossRefGoogle ScholarPubMed
17 Chaabo, F, Pronczuk, A, Maslova, E, et al. (2010) Nutritional correlates and dynamics of diabetes in the Nile rat (Arvicanthis niloticus): a novel model for diet-induced type 2 diabetes and the metabolic syndrome. Nutr Metab (Lond) 7, 29.CrossRefGoogle ScholarPubMed
18 Noda, K, Melhorn, MI, Zandi, S, et al. (2010) An animal model of spontaneous metabolic syndrome: Nile grass rat. FASEB J 24, 24432453.CrossRefGoogle ScholarPubMed
19 Tomayko, MM & Reynolds, CP (1989) Determination of subcutaneous tumor size in athymic (nude) mice. Cancer Chemother Pharmacol 24, 148154.CrossRefGoogle ScholarPubMed
20 Zielinski, MR, Muenchow, M, Wallig, MA, et al. (2004) Exercise delays allogeneic tumor growth and reduces intratumoral inflammation and vascularization. J Appl Physiol 96, 22492256.CrossRefGoogle ScholarPubMed
21 Edgar, R, Domrachev, M & Lash, AE (2002) Gene expression omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 30, 207210.CrossRefGoogle ScholarPubMed
22 Saeed, AI, Sharov, V, White, J, et al. (2003) TM4: a free, open-source system for microarray data management and analysis. Biotechniques 34, 374378.CrossRefGoogle ScholarPubMed
23 Dahlquist, KD, Salomonis, N, Vranizan, K, et al. (2002) GenmAPP, a new tool for viewing and analyzing microarray data on biological pathways. Nat Genet 31, 1920.CrossRefGoogle ScholarPubMed
24 Doniger, SW, Salomonis, N, Dahlquist, KD, et al. (2003) MAPPFinder: using gene ontology and GenmAPP to create a global gene-expression profile from microarray data. Genome Biol 4, R7.CrossRefGoogle ScholarPubMed
25 Hellemans, J, Mortier, G, De Paepe, A, et al. (2007) qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol 8, R19.CrossRefGoogle ScholarPubMed
26 Vandesompele, J, De Preter, K, Pattyn, F, et al. (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3, RESEARCH0034.CrossRefGoogle ScholarPubMed
27 Reagan-Shaw, S, Nihal, M & Ahmad, N (2008) Dose translation from animal to human studies revisited. FASEB J 22, 659661.CrossRefGoogle ScholarPubMed
28 Yanni, AE (2004) The laboratory rabbit: an animal model of atherosclerosis research. Lab Anim 38, 246256.CrossRefGoogle ScholarPubMed
29 Hayes, KC, Sundram, K & Sambanthamurthi, R, et al. (2009) Methods for the treatment or prevention of diabetes mellitus and other metabolic imbalances. World Patent WO 2009/146102 A1. Brandeis University, Malaysian Palm Oil Board.Google Scholar
30 Fukuda, T, Ito, H & Yoshida, T (2004) Effect of the walnut polyphenol fraction on oxidative stress in type 2 diabetes mice. Biofactors 21, 251253.CrossRefGoogle ScholarPubMed
31 Fenercioglu, AK, Saler, T, Genc, E, et al. (2009) The effects of polyphenol-containing antioxidants on oxidative stress and lipid peroxidation in type 2 diabetes mellitus without complications. J Endocrinol Invest 33, 118124.CrossRefGoogle ScholarPubMed
32 Lapidot, T, Walker, MD & Kanner, J (2002) Antioxidant and prooxidant effects of phenolics on pancreatic beta-cells in vitro . J Agric Food Chem 50, 72207225.CrossRefGoogle ScholarPubMed
33 Lean, ME, Noroozi, M, Kelly, I, et al. (1999) Dietary flavonols protect diabetic human lymphocytes against oxidative damage to DNA. Diabetes 48, 176181.CrossRefGoogle ScholarPubMed
34 Balzer, J, Rassaf, T, Heiss, C, et al. (2008) Sustained benefits in vascular function through flavanol-containing cocoa in medicated diabetic patients a double-masked, randomized, controlled trial. J Am Coll Cardiol 51, 21412149.CrossRefGoogle ScholarPubMed
35 Mulvihill, EE, Allister, EM, Sutherland, BG, et al. (2009) Naringenin prevents dyslipidemia, apolipoprotein B overproduction, and hyperinsulinemia in LDL receptor-null mice with diet-induced insulin resistance. Diabetes 58, 21982210.CrossRefGoogle ScholarPubMed
36 Anderson, RA (2008) Chromium and polyphenols from cinnamon improve insulin sensitivity. Proc Nutr Soc 67, 4853.CrossRefGoogle ScholarPubMed
37 Huang, DW, Shen, SC & Wu, JS (2009) Effects of caffeic acid and cinnamic acid on glucose uptake in insulin-resistant mouse hepatocytes. J Agric Food Chem 57, 76877692.CrossRefGoogle ScholarPubMed
38 Schwartz, GK & Shah, MA (2005) Targeting the cell cycle: a new approach to cancer therapy. J Clin Oncol 23, 94089421.CrossRefGoogle ScholarPubMed
39 Kampa, M, Alexaki, VI, Notas, G, et al. (2004) Antiproliferative and apoptotic effects of selective phenolic acids on T47D human breast cancer cells: potential mechanisms of action. Breast Cancer Res 6, R63R74.CrossRefGoogle ScholarPubMed
40 Fabiani, R, De Bartolomeo, A, Rosignoli, P, et al. (2002) Cancer chemoprevention by hydroxytyrosol isolated from virgin olive oil through G1 cell cycle arrest and apoptosis. Eur J Cancer Prev 11, 351358.CrossRefGoogle ScholarPubMed
41 Fabiani, R, De Bartolomeo, A, Rosignoli, P, et al. (2006) Virgin olive oil phenols inhibit proliferation of human promyelocytic leukemia cells (HL60) by inducing apoptosis and differentiation. J Nutr 136, 614619.CrossRefGoogle ScholarPubMed
42 Joe, AK, Liu, H, Suzui, M, et al. (2002) Resveratrol induces growth inhibition, S-phase arrest, apoptosis, and changes in biomarker expression in several human cancer cell lines. Clin Cancer Res 8, 893903.Google ScholarPubMed
43 Wolter, F, Clausnitzer, A, Akoglu, B, et al. (2002) Piceatannol, a natural analog of resveratrol, inhibits progression through the S phase of the cell cycle in colorectal cancer cell lines. J Nutr 132, 298302.CrossRefGoogle Scholar
44 Raffoul, JJ, Wang, Y, Kucuk, O, et al. (2006) Genistein inhibits radiation-induced activation of NF-kappaB in prostate cancer cells promoting apoptosis and G2/M cell cycle arrest. BMC Cancer 6, 107.CrossRefGoogle ScholarPubMed
45 Lim do, Y, Jeong, Y, Tyner, AL, et al. (2007) Induction of cell cycle arrest and apoptosis in HT-29 human colon cancer cells by the dietary compound luteolin. Am J Physiol Gastrointest Liver Physiol 292, G66G75.CrossRefGoogle ScholarPubMed
46 Graudens, E, Boulanger, V, Mollard, C, et al. (2006) Deciphering cellular states of innate tumor drug responses. Genome Biol 7, R19.CrossRefGoogle ScholarPubMed
47 Bromberg, J (2002) Stat proteins and oncogenesis. J Clin Invest 109, 11391142.CrossRefGoogle ScholarPubMed
48 Niu, G, Wright, KL, Ma, Y, et al. (2005) Role of Stat3 in regulating p53 expression and function. Mol Cell Biol 25, 74327440.CrossRefGoogle ScholarPubMed
49 Alas, S & Bonavida, B (2003) Inhibition of constitutive STAT3 activity sensitizes resistant non-Hodgkin's lymphoma and multiple myeloma to chemotherapeutic drug-mediated apoptosis. Clin Cancer Res 9, 316326.Google ScholarPubMed
50 Ni, Z, Lou, W, Leman, ES, et al. (2000) Inhibition of constitutively activated Stat3 signaling pathway suppresses growth of prostate cancer cells. Cancer Res 60, 12251228.Google ScholarPubMed
51 Konnikova, L, Kotecki, M, Kruger, MM, et al. (2003) Knockdown of STAT3 expression by RNAi induces apoptosis in astrocytoma cells. BMC Cancer 3, 23.CrossRefGoogle ScholarPubMed
52 Kotha, A, Sekharam, M, Cilenti, L, et al. (2006) Resveratrol inhibits Src and Stat3 signaling and induces the apoptosis of malignant cells containing activated Stat3 protein. Mol Cancer Ther 5, 621629.CrossRefGoogle ScholarPubMed
53 Opdenakker, G & Van Damme, J (2004) The countercurrent principle in invasion and metastasis of cancer cells. Recent insights on the roles of chemokines. Int J Dev Biol 48, 519527.CrossRefGoogle ScholarPubMed
54 Liotta, LA & Kohn, EC (2001) The microenvironment of the tumour–host interface. Nature 411, 375379.CrossRefGoogle ScholarPubMed
55 Loberg, RD, Bradley, DA, Tomlins, SA, et al. (2007) The lethal phenotype of cancer: the molecular basis of death due to malignancy. CA Cancer J Clin 57, 225241.CrossRefGoogle ScholarPubMed
56 Chen, X, Beutler, JA, McCloud, TG, et al. (2003) Tannic acid is an inhibitor of CXCL12 (SDF-1alpha)/CXCR4 with antiangiogenic activity. Clin Cancer Res 9, 31153123.Google ScholarPubMed
Figure 0

Fig. 1 Reduction in blood pressure (BP) by oil palm phenolics (OPP). Values were significantly different as assessed by two-tailed unpaired Student's t test compared with the NG-nitro-l-arginine methyl ester (l-NAME) group (n 12): * P< 0·05, ** P< 0·01, *** P< 0·001. , Control; , l-NAME; , l-NAME+OPP (1500 gallic acid equivalents (GAE)); , l-NAME+OPP (3000 GAE).

Figure 1

Table 1 Reduction of vulnerability to ventricular tachycardia (VT), ventricular fibrillation (VF) and mortality in rat models of cardiac arrhythmia (Mean values, standard deviations and percentages)

Figure 2

Table 2 Inhibition of the development of aortic lesions in rabbits fed an atherogenic diet* (Mean values and standard deviations, n 9)

Figure 3

Table 3 Anti-diabetic effects of oil palm phenolics (OPP)* (Mean values and standard deviations, n 7)

Figure 4

Fig. 2 In vivo anti-tumour effects of oil palm phenolics. (a) Tumour incidence, (b) tumour volume reduction and (c) tumour weight reduction. * Values were significantly different as assessed by the two-tailed unpaired Student's t test, n 12–13 (P< 0·05).

Figure 5

Fig. 3 Microarray analysis results obtained from the anti-tumour studies of oil palm phenolics (OPP). (a) Genes differentially expressed in the tumour cell cycle pathway as indicated by the GenMAPP analysis indicate cytostatic effects of OPP (Illumina custom error model P< 0·05, n 3–4). The figure is adapted from KEGG and maintained by GenMAPP.org. (b) Gene expression fold changes of two cell-cycle genes as determined by microarray and real-time quantitative RT-PCR experiments were comparable, thus validating the microarray results obtained. (c) Genes down-regulated in the Stat3 and Cxcl12 network generated by the Ingenuity Pathways Analysis software indicate possible anti-invasiveness and anti-metastatic potential of OPP. , Microarray; , real-time quantitative RT-PCR. ORC, origin recognition complex; MCM, mini-chromosome maintenance; MAPK, mitogen-activated protein kinase; SCF, Skp1/Cul1/F-box complex; ARF, alternative reading frame; APC/C, anaphase-promoting complex/cyclosome; MEN, mitotic exit network; CT, cancer-tumours.

Supplementary material: PDF

Sambanthamurti Supplementary Material

Sambanthamurti Supplementary Material 1

Download Sambanthamurti Supplementary Material(PDF)
PDF 491.5 KB
Supplementary material: PDF

Sambanthamurti Supplementary Material

Sambanthamurti Supplementary Material 2

Download Sambanthamurti Supplementary Material(PDF)
PDF 177.7 KB