Next Article in Journal
Guidelines for Feeding Very Low Birth Weight Infants
Next Article in Special Issue
Macro- and Micronutrients Consumption and the Risk for Colorectal Cancer among Jordanians
Previous Article in Journal
Inclusion of Fermented Foods in Food Guides around the World
Previous Article in Special Issue
The Role of Dietary Fat throughout the Prostate Cancer Trajectory
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 7
Issue 1
10.3390/nu7010405
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Investigation into the Association between DNA Damage and Dietary Fatty Acid in Men with Prostate Cancer

by
Karen S. Bishop
1,*,
Sharon Erdrich
2,
Nishi Karunasinghe
1,
Dug Yeo Han
3,
Shuotun Zhu
3,
Amalini Jesuthasan
3 and
Lynnette R. Ferguson
1,2,3
1
Auckland Cancer Society Research Centre, FM & HS, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
2
Discipline of Nutrition, FM & HS, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
3
Nutrigenomics New Zealand, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
*
Author to whom correspondence should be addressed.
Nutrients 2015, 7(1), 405-422; https://doi.org/10.3390/nu7010405
Submission received: 26 August 2014 / Accepted: 19 December 2014 / Published: 8 January 2015
(This article belongs to the Special Issue Nutrition and Cancer)
Browse Figures
Versions Notes

Abstract

:
Prostate cancer is a growing problem in New Zealand and worldwide, as populations adopt a Western style dietary pattern. In particular, dietary fat is believed to be associated with oxidative stress, which in turn may be associated with cancer risk and development. In addition, DNA damage is associated with the risk of various cancers, and is regarded as an ideal biomarker for the assessment of the influence of foods on cancer. In the study presented here, 20 men with prostate cancer adhered to a modified Mediterranean style diet for three months. Dietary records, blood fatty acid levels, prostate specific antigen, C-reactive protein and DNA damage were assessed pre- and post-intervention. DNA damage was inversely correlated with dietary adherence (p = 0.013) and whole blood monounsaturated fatty acids (p = 0.009) and oleic acid (p = 0.020). DNA damage was positively correlated with the intake of dairy products (p = 0.043), red meat (p = 0.007) and whole blood omega-6 polyunsaturated fatty acids (p = 0.015). Both the source and type of dietary fat changed significantly over the course of the dietary intervention. Levels of DNA damage were correlated with various dietary fat sources and types of dietary fat.

1. Introduction

Prostate cancer in New Zealand and worldwide is an increasing problem with respect to prevalence and receipt of appropriate, and in some countries, timely treatment. Prostate cancer is the most common cancer amongst men in New Zealand, accounting for 27% of all new male cancer cases [1]. In addition to older age, ethnicity and family history being risk factors for prostate cancer, lifestyle is also believed to play a role [2]. This belief is supported by evidence obtained from migrants who adopted the lifestyle of their new country to varying degrees [3]. Such migrants also adopted the risk levels associated with that country, rather than their country of origin, depending on the extent to which they changed their lifestyle [3]. It is widely accepted that diet plays an important role in the development of cancers and that a Mediterranean style diet, as opposed to a Western style diet, may ameliorate the risk and progression of prostate cancer due to the effect of various Mediterranean style dietary components on inflammation and oxidative stress, amongst other factors [4]. The source and components of dietary fat vary enormously between Mediterranean and Western dietary patterns. The former is higher in monounsaturated fatty acid (MUFA) rich-plant foods including oleic acid-rich olive oils, as well as the long chain omega 3 polyunsaturated fatty acids (PUFA) that are largely sourced from oily fish (which are high in the omega 3 fatty acids (n3PUFA), eicosapentanoiec acid (EPA) and docosahexaneoic acid (DHA)) [5]. A Western style dietary pattern on the other hand is higher in omega 6 fatty acids (n6PUFA) sourced largely from seed oils and animal fats [5].
Exogenous and endogenous factors can influence oxidative stress [6], which is caused by an imbalance between antioxidants and reactive oxygen species. Lifestyle and diet can be a source of antioxidants and can also promote oxidative stress. Examples of foods that promote oxidative stress include meat cooked at high temperature, as well as some processed and smoked meats [7,8]. Meat cooked at high heat can generate heterocyclic amines (HCA) and polycyclic aromatic hydrocarbons and these can induce DNA instability [7,8,9,10]. The susceptibility to prostate cancer risk as a result of consumption of such compounds may be modified by genotype [11]. The consumption of processed meats may also promote the formation of cancers as they contain potentially harmful nitrates and nitrites [9]. Other dietary sources of fat, such as dairy, contain calcium and angiotensin-converting enzyme inhibitors that may decrease oxidative stress, at least in people who are obese [12]. Despite such evidence, dairy intake has received mixed reviews with respect to association with prostate cancer risk [13,14,15].
There is some controversy regarding dietary fat intake and prostate cancer prevalence and progression [16,17,18]. Total and saturated fat intake has been positively associated with prostate specific antigen (PSA) levels [19], increased risk of prostate cancer, and aggressive prostate cancer [16,18], whilst saturated fat intake has been associated with fatal prostate cancer [18].
The dietary fatty acids that are discussed herein are shown in relation to one another in Figure 1. Both animal and plants consist of different types of fats in varying proportions. Animal fats consist predominantly of saturated fats (single carbon bonds in the hydrocarbon chains), and plant fats consist predominantly of unsaturated fats (with a varying number of double bonds). There are some exceptions, for example coconut oil contains predominantly saturated fat, and fish consists primarily of PUFA. Unsaturated trans fats are only found in trace amounts in meat and dairy, but they are often produced during the hydrogenation of vegetable oils to produce saturated fats, and therefore are common in processed foods [20].
Nutrients 07 00405 g001 1024
Figure 1. The biosynthesis pathways of the omega 3, 6 and 9 family of poly- and mono-unsaturated fatty acids (adapted from [21,22,23]).The main dietary sources are shown in blue text, and the enzymes in red text.
Figure 1. The biosynthesis pathways of the omega 3, 6 and 9 family of poly- and mono-unsaturated fatty acids (adapted from [21,22,23]).The main dietary sources are shown in blue text, and the enzymes in red text.
Nutrients 07 00405 g001
Linoleic and α-linolenic acid are essential fatty acids, whilst other fatty acids, to some degree, can be synthesised from precursors [22] (Figure 1). In the n3 PUFA and n6PUFA pathways there is competition for the ∆6-desaturase and ∆5-desaturase enzymes, although both enzymes preferentially catalyse the n3PUFA pathway [21]. In a Review by Plourde and Cunnane [24] the authors discuss the acceptance of the view that there is an “extremely limited efficiency” of the desaturase conversion of ALA to DHA. The controversy of the conversion of LA and ALA to the long chain PUFAs arose in part due to the early use of rat models and also due to using animals that were deficient in essential fatty acids [25]. These two approaches were misleading as rats have a more efficient conversion of LA and ALA to longer chain PUFA, and fatty acid deficiency stimulates the conversion of LA and ALA to longer chain PUFA [25]. Although EPA and DHA biosynthesis is generally regarded as being inefficient [22], the extent of this inefficiency is controversial as measurements of longer chain PUFA may be quite different in plasma versus levels measured in other tissues, and it is plasma levels that are more commonly measured and reported [24,26]. However, it seems that the most predictable means of achieving adequate levels of EPA and DHA in plasma and tissues is through consuming long chain PUFA from dietary sources.
The intake of animal, saturated and trans-unsaturated fats is associated with all-cause mortality [27] and death due to prostate cancer [18,27]. The consumption of MUFA, PUFA, and vegetable fats on the other hand are associated with a decreased risk of developing prostate cancer or death from prostate cancer [18,27].
Unrepaired DNA damage can result in mutations and some mutations can lead to the development of cancerous tumours. Polymorphisms, such as the single nucleotide polymorphism rs2853826 found in the mitochondrial gene NADH dehydrogenase subunit, can influence oxidative stress in women carrying the G allele (G10398), and who also consume alcohol [28]. In such an instance, genotype and alcohol consumption may therefore have an impact on the risk of breast cancer development. Unsurprisingly, cancers such as prostate cancer have been found to be associated with raised levels of DNA damage [29], and raised antioxidant levels can help activate the expression of the glutathione S-transferase gene and thereby help protect against this damage [30]. The measurement of DNA damage is regarded as an ideal biomarker for the assessment of the influence of foods or food components on cancer, and the alkaline comet assay (single cell gel electrophoresis) is regarded as a suitable technique for such an assessment [31,32].
The aim of this study was to determine the association between fat and oil intake, as part of a modified Mediterranean style dietary intervention study, and whole blood fatty acid profiles and their association with markers of inflammation and DNA damage in men with prostate cancer. It was hypothesised that the proposed diet would be associated with improvements in PSA, CRP, DNA damage and whole blood fatty acid levels. Evidence obtained could be used to support the prescribed diet as the basis for dietary guidelines that may benefit men with prostate cancer in the future.

2. Experimental Section

Ethical approval was obtained from the Northern B Health and Disability Ethics Committee, Auckland, New Zealand (Ethics number NTY/11/11/109) to perform this study. Study volunteers were selected from an existing cohort of men with prostate cancer based on their Gleason scores, such that those with a Gleason score of 6 (3 + 3) and 7 (3 + 4) were invited to participate in this dietary intervention. Neither a control group free from prostate cancer, nor a control group with prostate cancer and following a standard diet were included. The dietary intervention was explained in detail and a hardcopy of the guidelines and a lengthy compilation of recipes were provided [33]. From the point of view of fat intake, volunteers were asked to adhere to the following guidelines: to include 30–50 g of mixed, unsalted seeds and nuts daily; to include 15 mL or more of extra virgin olive oil and to avoid exposure of the oil to medium and high heat; to reduce dairy intake to one portion daily (information on alternative sources of dietary calcium was provided); to substitute butter and/or margarine with an olive oil based spread; to limit intake of red meat to less than 400 g a week and to substitute with oily fish and white meat; to avoid high temperature cooking of protein; to avoid processed meats; and to include oily fish in the diet at least once a week. The intention was not to change calorie intake, although there was a concern that this may increase due to nut and olive oil intake. Exercise was monitored at baseline and study end through the use of activity diaries. Light to moderate exercise was encouraged during the enrollment interview to encourage general well-being, but no support or resources were provided in this regard. Volunteers were provided with food samples due to the expense and novelty of some of the items, and blood samples were collected at baseline and at three months from volunteers in a non-fasting state. The blood samples were collected into vaccutainers and either kept on ice or at room temperature (plain, EDTA, Heparin and SST II Advance tubes were used). All blood tubes were processed within two hours of blood draw. The food samples supplied included 200 g of frozen vacuum packed salmon per week (Aoraki Smokehouse Salmon, Twizel, New Zealand) and 1 L of extra virgin olive oil (oleic acid content of 78.3%) per month (Seed Oil Extraction Ltd., Ashburton, New Zealand). Adherence to various aspects of the dietary intervention was assessed using a modified, validated questionnaire [34].
The fatty acid profiles were determined using the Holman Bloodspot fatty acid profile test (Lipid Technologies LLC (Austin, MN, USA) via Functional and Integrative Medicine Ltd. (Napier, New Zealand)). Frozen whole blood was thawed and approximately 75 μL was spotted onto the supplied filter cards. The composition of the fatty acids in the samples was derivatised to form fatty acid methyl esters and thereafter assessed using gas chromatography (Lipid Technologies LLC).
The comet assay can be used to detect lesions in DNA strands [35], and was used herein to assess change in DNA damage over time. Results were also obtained by additionally challenging DNA with hydrogen peroxide (H2O2) as described by Olive & Banáth [36]. This involved treating 20 μL of whole blood with 1 mL of a 200 μM solution of H2O2 in phosphate buffered saline solution, placing on ice for 30 min and discarding the supernatant after centrifugation. Thereafter the comet assay was performed on heparinised blood as outlined in Karunasinghe et al. [37,38]. DNA damage was quantitated using the Komet® version 6.0 digital imaging system (Andor Technology, Belfast, UK). The first 50 leucocytes suitable for capturing were scored. Leucocytes were visualised using an Axioskop 2 fluorescent microscope (Zeiss, Goettingen, Germany) and a CCD camera (Evolution VF, QI Imaging, Media Cybernetics, Warrendale, PA, USA). In this way DNA damage was induced wherever significant weakness was present in the DNA strands and hence H2O2-induced DNA damage was considered as an indicator of “DNA fragility”. Data for percentage tail DNA were log-transformed as they were not normally distributed. The back-transformed mean of the log-transformed values was used for the statistical analysis.
Statistical analysis was carried out using SAS (V9.2 SAS Institute, Cary, NC, USA) as follows: the Students paired t-test was used for the comparison of variables at the baseline and three month time points and Spearman bivariate correlations were used to measure relationships between variables.

3. Results

The characteristics of the study participants are presented in Table 1 and summarised as follows: participants were aged between 52 and 74 years; 80% had a body mass index (BMI) of ≥25 kg/m2 and over the course of the study mean body weight reduced by 2.3 kg (p = 0.0007); 60% had undergone prostatectomy, whilst 30% of participants were on watchful wait or active surveillance. All participants had a Gleason score of 6 (3 + 3) or 7 (3 + 4) at the time of prostatectomy or most recent biopsy.
Table
Table 1. Baseline characteristics of the study participants.
Table 1. Baseline characteristics of the study participants.
Baseline Characteristicsn
Age (years) (range 52–74 years)50–593
60–6912
≥705
BMI (kg/m2) (range 23–33 kg/m2)
≤19.90
20–24.94
25–29.912
≥304
Gleason score *3 + 314
3 + 46
Smoking statusNever7
Past13
Present0
SupplementsOmega 3 (from fish oil)3
Vitamins4
Treatment typeNone6
Prostatectomy10
Prostatectomy + ADT + DxR1
Prostatectomy + DxR1
ADT + DxR1
Brachytherapy1
BMI: Body mass index; ADT: Androgen deprivation therapy; DxR: Radiotherapy (other than Brachytherapy); * The Gleason score is based on tissue obtained from the prostatectomy. Where a prostatectomy was not performed, the Gleason score was based on a biopsy sample.
A modified Mediterranean adherence score was used to assess adherence to the study diet at baseline and at three months. The intake of olive oil, nuts, dairy, fish and red meat changed significantly over the course of the study (Table 2). Saturated fat intake, as a percentage of total fat intake at baseline and three months, decreased significantly (p < 0.0001). As expected, the source of dietary fat changed in response to the recommended dietary intervention. Figure 2 shows intake of MUFA increased and SFA and total fatty acid decreased significantly over the study period. However, the intake of total fat and PUFA, when measured in grams per day, did not change (Figure 2).
The source, type and amount of fatty acid intake influenced various physiological characteristics, as well as blood levels and ratios. At study end BMI was inversely and significantly correlated to blood n3PUFA (r = −0.451; p = 0.046). Decreases in BMI were associated with increased measurements of PUFA (r = −0.484; p = 0.031) and LA (r = −0.463; p = 0.040). In addition, increased whole blood arachidonic acid (AA) (r = −0.455; p = 0.044) levels were associated with weight loss but not a significant decrease in BMI.
Table
Table 2. Changes in the sources of dietary fat from baseline to three months.
Table 2. Changes in the sources of dietary fat from baseline to three months.
Dietary Component (Unit of Measure)Mean (SE)Mean Difference (95% CI)p
BaselineThree Months
Olive oil (mL/day)14.5 (3.8)28.8 (4.7)14.2 (6.8–16.0)0.0008
Nuts (Servings/week)2.3 (0.5)5.1 (0.6)2.9 (1.5–4.2)0.0003
Butter/cream/margarine (Servings/day)2.1 (0.3)1.0 (0.3)−1.1 (−0.6–−1.6)0.0002
Dairy products (Servings/week)7.4 (0.9)4.4 (0.7)−2.9 (−1.2–−4.7)0.0025
Fish (Servings/week)1.7 (0.2)3.5 (0.5)1.8 (0.9–2.7)0.0005
Red and processed meat (Servings/week)3.9 (0.5)1.9 (0.4)−2.0 (−2.6–−1.3)0.0005
SE: standard error; CI: confidence interval.
Nutrients 07 00405 g002 1024
Figure 2. Changes in types of dietary fat intake from baseline to three months.* Statistically significant p values; PUFA: polyunsaturated fatty acids; MUFA: monounsaturated fatty acids; SFA: saturated fatty acids; TFA: trans fatty acids.
Figure 2. Changes in types of dietary fat intake from baseline to three months.* Statistically significant p values; PUFA: polyunsaturated fatty acids; MUFA: monounsaturated fatty acids; SFA: saturated fatty acids; TFA: trans fatty acids.
Nutrients 07 00405 g002
Total SFA significantly decreased at study end, partly due to a significant decrease in stearic acid intake (Table 3). Total MUFA, PUFA or any individual fatty acid within those synthesis pathways, showed no change, with the exception of DHA and DHA + EPA which showed a statistically significant increase in blood levels (Table 3). In addition, the ratios of n6PUFA:n3PUFA and AA:EPA had both decreased by study end (Table 3).
No significant correlations were noted between fatty acid measurements obtained from the blood fatty acid profile and food intake assessed via FoodWorks®7 (Xyris software Pty Ltd. 2012, Kenmore Hills, Australia). However, some statistically significant correlations were evident between various fatty acids reported from the blood fatty acid profile and food items as assessed in an adherence questionnaire (Table 4). Dairy intake in particular was inversely correlated with total n3PUFA, EPA and EPA + DHA, and positively correlated with the ratio of AA to EPA (Table 4).
C-reactive protein, PSA and DNA damage were measured at baseline and at three months. Neither C-reactive protein nor PSA changed significantly over the course of the study period. However, a significant, inverse relationship between adherence to the modified Mediterranean diet and basal DNA damage emerged. Spearman correlation was used to identify relationships between intake of individual food items that were recommended as part of the dietary intervention and DNA damage at three months. Foods high in animal fat were significantly positively associated with basal DNA damage (Table 5). In addition, association of DNA fragility with various fat related dietary components was assessed and the DNA fragility was inversely correlated with fish intake (r = −0.452; p = 0.045) whilst dairy intake was found to be positively associated with DNA fragility (r = 0.571; p = 0.008).
Significant correlations were observed between basal DNA damage and dietary fat sources, as measured by an adherence questionnaire, as well as various fatty acids reported from the blood fatty acids profile at three months (Table 5). No associations were evident when analysing fatty acid intake, as measured by the diet diaries and analysed via FoodWorks®7 (Xyris software Pty Ltd. 2012), and basal DNA damage. A representative example of various levels of DNA damage is evident in Figure 3.
Results show that total MUFA and n9MUFA (particularly oleic acid), were inversely associated with DNA damage while total n6PUFA, and a higher ratio of n6PUFA to n3PUFA, were associated with increased DNA damage.
Table
Table 3. Whole blood fatty acid profile expressed as mean percent, at baseline and three months.
Table 3. Whole blood fatty acid profile expressed as mean percent, at baseline and three months.
Blood Fatty AcidsMean (SE)Mean Difference (95% CI)p
BaselineThree Months
Total SFA34.7 (0.3)33.7 (0.4)−1.0 (0.4–1.5)0.002
16:0 Palmitic acid22.6 (0.3)22.3 (0.4)−0.3 (−0.1–0.7)0.161
18:0 Stearic acid10.5 (0.2)10.0 (0.2)−0.5 (0.2–0.9)0.002
Total MUFA23.4 (0.4)23.7 (0.4)0.3 (0.4–1.0)0.366
Total n9MUFA23.1 (0.4)23.4 (0.4)0.3 (−0.4–1.0)0.380
18:1ω9 Oleic acid22.7 (0.4)23.2 (0.4)0.5 (−0.2–1.1)0.162
Total PUFA39.5 (0.5)40.3 (0.5)0.9 (−0.1–1.8)0.079
Total n6PUFA32.8 (0.4)33.0 (0.5)0.2 (−0.7–1.2)0.636
18:2ω6 LA19.6 (0.7)19.4 (0.9)−0.2 (−1.7–1.4)0.832
20:4ω6 AA9.1 (0.3)8.9 (0.3)−0.2 (−0.7–0.3)0.379
Total n3PUFA6.6 (0.4)7.3 (0.3)0.6 (−0.0–1.3)0.057
18:3ω3 LNA0.5 (0.0)0.6 (0.1)0.0 (−0.1–0.2)0.689
20:5ω3 EPA1.4 (0.9)1.5 (0.7)0.1 (−0.2–0.5)0.463
22:6ω3 DHA3.0 (0.9)3.5 (0.1)0.5 (0.2–0.8)0.001
EPA + DHA4.4 (0.4)5.0 (0.2)0.6 (0.3–1.2)0.042
Modified WBS n3 Index6.1 (0.5)7.0 (0.3)0.9 (0.0–1.7)0.043
n6PUFA:n3PUFA5.2 (0.3)4.7 (0.2)−0.6 (−1.0–−0.1)0.019
AA:EPA8.58 (0.9)6.9 (0.6)−1.6 (−3.1–−0.2)0.030
Abbreviations: AA: Arachidonic acid; CI: confidence interval; DHA: docosahexaneoic acid; DPA: docosapentaenoic acid; EPA: eicosapentaenoic acid; LA: linoleic acid; LNA: linolenic acid; MUFA: monounsaturated fatty acids; n9MUFA: omega 9 monounsaturated fatty acids; n3PUFA: omega 3 polyunsaturated fatty acids; n6PUFA: omega 6 polyunsaturated fatty acids; p: probability value; PUFA: polyunsaturated fatty acids; SE: standard error; SFA: saturated fatty acids; WBS: whole blood spot.
Table
Table 4. Correlation between various whole blood fatty acid levels and intake of selected food items at three months.
Table 4. Correlation between various whole blood fatty acid levels and intake of selected food items at three months.
Blood Fatty AcidsDietary Fat SourceCorrelationp
Total n3PUFAFish intake0.2100.374
Nut intake0.3410.141
Dairy intake−0.4330.057
Red meat intake0.0820.732
EPAFish intake0.1720.468
Nut intake0.1470.535
Dairy intake−0.5800.007
Red meat intake−0.4750.034
EPA + DHAFish intake0.1230.605
Nut intake0.2220.347
Dairy intake−0.6090.004
Red meat intake0.0550.817
n6PUFA:n3PUFAFish intake0.1920.418
Nut intake−0.3490.132
Dairy intake−0.1470.537
Red meat intake0.4860.029
AA:EPAFish intake0.2330.323
Nut intake0.0840.725
Dairy intake0.4090.073
Red meat intake−0.0290.904
Abbreviations: EPA: eicosapentanoiec acid; DHA: docosahexaneoic; n3PUFA: omega 3 polyunsaturated fatty acid, n6PUFA: omega 6 polyunsaturated fatty acid; AA: arachidonic acid.
Table
Table 5. Correlation between DNA damage and dietary fatty acid intake and blood fatty acids.
Table 5. Correlation between DNA damage and dietary fatty acid intake and blood fatty acids.
Outcome of InterestDietary Fat SourcesBaselineThree Months
CorrelationpCorrelationp
DNA damageOlive oil0.0020.995−0.3700.109
Servings of butter, cream, margarine0.2780.2350.4560.043
Servings of fish0.2020.3930.5100.829
Servings of red meat0.0660.7830.5760.007
Blood Fatty AcidTotal MUFA0.2000.3988−0.5650.009
Total n9MUFA0.2110.371−0.5610.010
Oleic acid0.2200.352−0.5140.020
Total n6PUFA−0.1160.6270.5360.015
Total n3PUFA−0.3140.178−0.2240.342
n6PUFA:n3PUFA ratio0.3300.1550.5070.023
Abbreviations: MUFA: mono-unsaturated fatty acids; n9MUFA: omega 9 polyunsaturated fatty acids; n6PUFA: omega 6 polyunsaturated fatty acids; n3PUFA: omega 3 polyunsaturated fatty acids.
Nutrients 07 00405 g003 1024
Figure 3. Representative images of different levels of DNA damage as measured by the Comet assay. A: extensive damage; B: moderate damage; C: minor damage.
Figure 3. Representative images of different levels of DNA damage as measured by the Comet assay. A: extensive damage; B: moderate damage; C: minor damage.
Nutrients 07 00405 g003

4. Discussion

Dietary fat intake was measured by assessing whole blood fatty acid levels, as well as by using four-day food diaries and assessing intake via FoodWorks®7 software (Xyris software Pty Ltd. 2012). A modified Mediterranean diet adherence questionnaire was used to evaluate conformity to a Mediterranean style dietary pattern, which is generally high in both n3 and n6PUFA, and to measure intake and change in intake of specific high fat foods in response to the dietary intervention.
The Holman Bloodspot fatty acid profile test (Lipid Technologies LLC), requiring whole blood samples, was used to assess fatty acid profiles at baseline and study end. Although other fatty acid profile tests can be used to measure fatty acid levels from other components of blood samples, whole blood was regarded as preferable as it can be used to assess fatty acid intake over the previous two months. Both Rise et al. [39] and Sun et al. [40] state that erythrocyte fatty acid profiles provide a better reflection of long term PUFA intake than plasma fatty acid profiles, and this view is supported by work carried out by Katan et al. [41]. In their study, Katan et al. concluded that erythrocyte fatty acid profiles reflected intake over the past one to two months [41]. It is clear that plasma and serum fatty acid profiles reflect more recent fatty acid intake than erythrocyte, whole blood or adipose tissue fatty acid profiles [39,40,42]. Based on this evidence it is likely that the Holman Bloodspot test captures fatty acid intake over the two months prior to blood collection.
A number of statistically significant changes in fatty acid profiles (Table 3) were noted such as the increase in DHA whole blood levels from 3.0% to 3.5% (p = 0.001). However, although the changes in EPA levels were not statistically significant, they did increase from 1.36% to 1.5% over the three month study period. Together, these changes contributed to a statistically significant increase in the modified WBS n3 index (p = 0.043) (Table 3).
Fatty acid profiles were measured from whole blood spots (WBS) and this presents challenges with regards to calculating a red blood cell (RBC) n3 index. A RBC n3 index is typically calculated from the sum of EPA and DHA (from RBC membranes) as a percentage of total RBC fatty acids [43]. Bailey-Hall et al. compared DHA and EPA levels from whole blood obtained from a finger prick with values obtained from RBCs (venipuncture) [44]. Although the mean percentage for DHA was approximately 150% lower from capillary whole blood than in RBCs, the DHA and EPA values from the two sample types were highly correlated [44]. As mentioned in the “Experimental” section, the fatty acid profiles were determined by Lipid Technologies LLC (Austin Minnesota) using Holman Bloodspot fatty acid profile tests. Results were presented as a percentage of total lipid content from WBS. An RBC n3 index was reported and as this percentage was calculated from WBS, it was therefore necessary to apply a conversion factor wherein the relationship between DHA from whole blood versus DHA from red blood cells, was taken into account [44]. The actual algorithm used is proprietary information [45]. Rather than refer to this value as the RBC n3 index, which could be viewed as misleading, the authors have used the term “modified WBS n3 index” (Table 3). Due to the relationship between blood fatty acids in whole blood vs. RBC from venipuncture established by Bailey-Hall [44] upon which the algorithm developed by Lipid Technologies is based [45], the authors have considered the modified WBS n3 index as equivalent to the widely used RBC n3 index. The RBC n3 index is negatively associated with death, particularly sudden death, from coronary heart disease [43]. Although the most desirable levels might be influenced by cultural background, maximal cardioprotection and slowest rate of telomere loss takes place at an RBC n3 index ≥8% and 8.7% respectively [43]. The increase in the modified WBS n3 index found in this study (from 6.10% to 6.98%) was significant, yet it remained below the target value for the reduction of coronary heart disease risk. However, it is believed that any increase in the modified WBS n3 index would be beneficial as n3 fatty acids can alter membrane biophysical properties and in addition to lipid metabolism, this may impact on inflammatory responses [46]. In addition, the dietary intervention continued for only three months and it is possible that the modified WBS n3 index may have continued to increase until target levels were reached.
Fatty acid profiles have predominantly been analysed from either plasma [47,48,49] or serum [50] and therefore results from these studies are not comparable with our own due to the different substrates used. However, in a recent Australian study data were collected on fasting whole blood fatty acids, but only intake in grams of SFA, MUFA and PUFA were shown, as well as a limited number of blood fatty acid ratios [51]. Total fat, as well as SFA, MUFA and PUFA intake (all measured in grams per day) were all comparatively higher in our study, relative to the study carried out by Alhazmi et al. [51].
An association between a change in dietary pattern over a three month time period, and whole blood fatty acids was investigated. Importantly, overall fat intake did not change despite a Mediterranean dietary pattern being traditionally high in fat. This lack of change is due to a substitution in source of fats, such that meats high in saturated fat were replaced by oily fish, and although dairy intake decreased significantly, olive oil and nut intake also increased significantly (Table 2). These changes are consistent with the adoption of a Mediterranean style dietary pattern. The change in fat source is supported by the statistically significant decrease in total SFA (Figure 2), particularly stearic acid (Table 3). Changes in blood fatty acid profiles, although physiologically small, were statistically significant (Table 3). This is largely due to the fact that the percentage values are small and therefore a large physiological change is unlikely.
In this dietary intervention study the intake of olive oil, oily fish, seeds and nuts was promoted, and therefore the dietary intake of MUFA and PUFA increased (Table 2). This increase is partly reflected in the change in blood fatty acid levels (Table 3). The intake of dietary sources of MUFA increased significantly (p = 0.0243) (Figure 2), as did the whole blood levels of n3PUFAs DHA (p = 0.001) and EPA + DHA (p = 0.042) (Table 3).
The increase in the modified WBS n3 index was consistent with the reported intake of dietary items containing n3PUFAs. Increased intake of n3PUFA is often associated with a reduction in n6PUFA blood levels partially due to competitive inhibition of rate limiting desaturase enzymes [23] (Figure 1), although there is some debate regarding this perhaps overly simplistic view [24,26]. However, there were no correlating significant changes in percentage n6PUFA in our study. While we expected that intake of some sources of n6PUFA, such as the cheaper vegetable oils that are often found in processed foods (e.g., soybean, sunflower, rice-bran, cottonseed and corn oils) would decrease due to substitution with olive oil, which is much lower in n6PUFA, there is no evidence that this occurred. Although we assessed for olive oil intake, we did not question the intake of other oils. An alternative explanation could lie in the fatty acid composition of nuts. We recommended and observed an increased consumption of nuts. Nut consumption increased from a mean of 2.2 to 5.2 servings per week. Many nuts are high in n6PUFA, thus off-setting the decrease of n6PUFA from other sources. In spite of this, the increase in n3PUFA contributed to a statistically significant decrease in the n6:n3 ratio, indicating a shift towards a less inflammatory profile. Correlations between intake of dietary fatty acids and blood fatty acids were not evident (values not reported). The levels of blood fatty acids are not only affected by intake [48,49], but also by the rate at which fatty acids are transformed (Figure 1). This transformation is often inefficient and influenced by rate limiting enzymes such as the delta-6-desaturase enzymes [52].
It is also important to consider whether n3PUFAs from plant sources decreased as this might counter-balance the increase in fish intake. However, one would expect this to be evident from the blood fatty acid profiles, as sources of EPA and DHA would largely be from oily fish and the limited conversion of alpha linolenic acid via elongation and desaturation reactions to stearidonic acid, EPA and finally DHA [23]. EPA and DHA can also be obtained from certain algal species [23], but only one of the study participants took algae-based supplements. The output from FoodWorks®7 software (Xyris software Pty Ltd. 2012) is in the form of food components and therefore we are comparing measurements of whole foods, such as fish, from the adherence tool, with measurement of food components such as n3PUFA, which can be sourced from a number of different foods including fish, refined vegetable oils and nuts for example.
What is of particular interest and relevance is that EPA intake was inversely associated with intake of dairy products (p = 0.007) and red meat (p = 0.034); and blood percentage EPA + DHA was significantly inversely associated with dairy intake. Due to the study design, the effect of dietary intake on prostate cancer risk could not be assessed. However, it is interesting to note that the above mentioned association between increased EPA and DHA intake with decreased dairy was also reported in a study where the influence of various dietary components on prostate cancer risk was assessed [53]. These results support evidence obtained from the adherence questionnaires that fish, as the primary dietary source of EPA, partially replaced the intake of meat, and some dairy products.
The Comet assay is a standard method for measuring DNA damage in eukaryotic cells, regardless of how that damage has been caused [54]. Leucocytes, as in this study, are usually used for the analysis of comets, but one of the drawbacks is that these cells are not usually a target tissue for cancer [54]. However, DNA damage in leucocytes, as measured in a Comet assay, may still present as a reliable marker for increased cancer risk as genomic instability is a common and widely accepted characteristic amongst cancers. A number of studies have been reported wherein DNA damage has been used to assess response to genotoxic stress in terms of cancer risk or effect on cancer related pathways [55,56,57]. Machowetz et al. and Colomer et al. both reported a reduction in DNA damage in response to olive oil consumption [58,59]. For this reason it was anticipated that a similar reduction in DNA damage would be observed in our own study participants as their consumption of extra virgin olive oil had increased significantly from 14.83 mL/day to 28.75 mL/day (Table 2). While an inverse association was seen between olive oil consumption and DNA damage, this was not significant (p = 0.109) (Table 5). However, the percentage of oleic acid in the blood (along with total MUFA and total omega 9), was inversely associated with basal DNA damage at the end of the study, which is consistent with published results [60]. As this association occurred in spite of only a minor increase in the blood oleic acid ratio, the relationship may serve as a marker for an unmeasured, associated factor, such as olive oil polyphenols.
When investigating food sources of fatty acids, it was clear that DNA damage was associated with a higher intake of dairy products and red meat (Table 5). Increased MUFA intake (Figure 2), supported by statistically significant MUFA blood levels (Table 3) were inversely correlated with basal DNA damage at three months (Table 5). Total n6PUFA and n6PUFA:n3PUFA on the other hand were positively correlated with DNA damage (Table 5) and this was not unexpected as n6PUFA is believed to be pro-inflammatory and low n6PUFA:n3PUFA ratios are believed to be anti-inflammatory.
While we did not question participants to obtain detailed information about culinary fats at baseline, we predicted that most participants would have been consuming olive oil with a lower level of polyphenols than that provided by the extra virgin olive oil supplied for this study (Oil Seed Extractions Ltd., Ashburton, New Zealand). Furthermore, our requirement of just one or more tablespoons of olive oil daily was perhaps too low to boost oleic acid levels sufficiently. In a study by Mitjavila et al. [61] olive oil was supplemented at a rate of a litre per week (equivalent to just over 140 mL/day), the usual Mediterranean diet includes 60 mL/day of extra virgin olive oil [34]. However, this was thought to be too high an expectation for a New Zealand population that does not have a tradition of olive oil consumption.
The inclusion of oily fish was an important component of the modified Mediterranean diet. The diet was modified to promote the inclusion of oily fish due to the n3PUFA content in fish being a good source of the anti-inflammatory fatty acids, EPA and DHA. From the adherence questionnaire the reported intake of fish doubled (Table 2), and this increase was statistically significant (p = 0.0005). No significant correlation was seen between any of the blood fatty acids and fish intake (correlations ranged from r = 0.017 to 0.21 (Table 4)). These results are not entirely inconsistent with those reported by Norrish et al., in which fish intake was “moderately correlated” to EPA and DHA when measured from red blood cells obtained from New Zealand men (r = 0.26 and 0.32 respectively, the p values were not reported) [62]. The whole blood fatty acid profile is a reflection of oily fish intake over the preceding two months, whilst the diet diaries are a measure of intake the week prior to the blood draw. Some of the volunteers indicated that they had consumed all their salmon donations by this stage and may have been unwilling to purchase additional oily fish. This highlights the advantage of blood biomarkers that reflect both short and longer-term intake over diet diaries or food frequency questionnaires to assess dietary intake.
In addition to changes in the consumption of fish, it can be seen that intake from other sources of dietary fat also changed. Statistically significant changes were seen in the consumption of olive oil and nuts, where consumption increased, and dairy products, where consumption decreased (Table 2). This could result in the increased intake of n3PUFA and the decreased intake of n6PUFA, depending on the type and quantity of nuts consumed. The type of nuts consumed was not recorded.
Although the authors cannot speculate as to whether the modified Mediterranean diet detailed herein would increase longevity, it is clear that indicators of general health were enhanced. This view is supported by the fact that many of the men who were carrying excess weight, decreased their body weight during the study period; that whole blood fatty acid profiles improved, specifically DHA levels and the modified WBS n3 index (a marker of heart health); and that DNA damage levels decreased. In addition, anecdotal reports show that one of the study volunteers reported improved sleep patterns, thought to be due to decreased nocturia (nocturia being a common side-effect of prostate cancer treatment and prostatic disease); one volunteer experienced reduced arthritic pain; another experienced a reduced need for anti-inflammatory medication, whilst a number of volunteers commented on an improved feeling of well-being.

5. Conclusions

Dietary change to promote the intake of oily fish and olive oil as part of a Mediterranean style diet can be achieved in men with prostate cancer. Both the source and type of dietary fat intake changed significantly over the course of the dietary intervention. The intake of olive oil, nuts and fish increased significantly, whilst the intake of dairy and red meat decreased significantly from baseline to three months. The whole blood levels of the SFA, stearic acid decreased significantly, whilst the levels of DHA increased significantly. Although the whole blood levels of total n6PUFAs did not change significantly over the course of the intervention, care should be taken to provide advice regarding the increased intake of nuts to ensure that the type and quantity of nuts consumed maintains n6PUFA within levels associated with reduced health risks. Whilst dietary fat intake significantly changed over the course of the study, this change was not statistically associated with the significant changes in blood fatty acid profiles. However, total MUFA and oleic acid levels in the volunteers adhering to this dietary intervention were associated with a significant reduction in DNA damage. DNA damage was positively correlated with the ratio of n6PUFA to n3PUFA, as well as to the intake of red and processed meats, and dairy products.

Acknowledgments

Fatty acid tests were sponsored by Lipid Technologies LLC via Functional and Integrative Medicine Ltd.; Salmon was donated by Aoraki Smokehouse Salmon, Twizel, New Zealand; Olive oil was donated by Oil Seed Extraction Ltd., Ashburton, New Zealand.
The Volunteers and their partners are acknowledged for their commitment to this study.

Author Contributions

K.S.B. planned and initiated the study; planned and wrote the manuscript; S.E. and K.S.B. carried out the study; N.K. and S.E. carried out the Comet assays and interpreted the results; planned and edited drafts of the manuscript; D.Y.H. carried out the statistical analysis and edited drafts of the manuscript; A.J. processed and stored the samples; S.Z. performed the phlebotomy; L.R.F. helped plan the study and edited drafts of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest. Companies who donated food items and provided free testing were not involved in the design of the study or writing, approving or paying for the publication of the manuscript.

References

  1. Cancer: New Registrations and Deaths 2010. Available online: http://www.health.govt.nz/publication/cancer-new-registrations-and-deaths-2010 (accessed on 22 August 2014).
  2. Bishop, K.S.; Chi, H.-J.K.; Han, D.Y.; Ferguson, L.R. Prostate cancer prevention in the developing world—What are we waiting for? Curr. Pharmacogenomics Pers. Med. 2012, 10, 70–86. [Google Scholar] [CrossRef]
  3. Itsiopoulos, C.; Hodge, A.; Kaimakamis, M. Can the Mediterranean diet prevent prostate cancer? Mol. Nutr. Food Res. 2009, 53, 227–239. [Google Scholar] [CrossRef] [PubMed]
  4. Melnik, B.C.; John, S.M.; Schmitz, G. Over-stimulation of insulin/IGF-1 signaling by western diet may promote diseases of civilization: Lessons learnt from Laron syndrome. Nutr. Metab. 2011, 8, 41. [Google Scholar] [CrossRef]
  5. Serra-Majem, L.; de la Cruz, J.N.; Ribas, L.; Salleras, L. Mediterranean diet and health: Is all the secret in olive oil? Pathophysiol. Haemost. Thromb. 2003, 33, 461–465. [Google Scholar] [CrossRef] [PubMed]
  6. Breen, A.P.; Murphy, J.A. Reactions of oxyl radicals with DNA. Free Radic. Biol. Med. 1995, 18, 1033–1077. [Google Scholar] [CrossRef] [PubMed]
  7. Sugimura, T.; Wakabayashi, K.; Nakagama, H.; Nagao, M. Heterocyclic amines: Mutagens/carcinogens produced during cooking of meat and fish. Cancer Sci. 2004, 95, 290–299. [Google Scholar] [CrossRef] [PubMed]
  8. Norrish, A.E.; Ferguson, L.R.; Knize, M.G.; Felton, J.S.; Sharpe, S.J.; Jackson, R.T. Heterocyclic amine content of cooked meat and risk of prostate cancer. J. Natl. Cancer Inst. 1999, 91, 2038–2044. [Google Scholar] [CrossRef] [PubMed]
  9. John, E.M.; Stern, M.C.; Sinha, R.; Koo, J. Meat consumption, cooking practices, meat mutagens, and risk of prostate cancer. Nutr. Cancer 2011, 63, 525–537. [Google Scholar] [CrossRef] [PubMed]
  10. Joshi, A.D.; Corral, R.; Catsburg, C.; Lewinger, J.-P.; Koo, J.; John, E.M.; Ingles, S.; Stern, M.C. Red meat and poultry, cooking practices, genetic susceptibility and risk of prostate cancer: Results from the California Collaborative Prostate Cancer Study. Carcinogenesis 2012, 33, 2108–2118. [Google Scholar] [CrossRef]
  11. Van Hemelrijck, M.; Rohrmann, S.; Steinbrecher, A.; Kaaks, R.; Teucher, B.; Linseisen, J. Heterocyclic aromatic amine (HCA) intake and prostate cancer risk: Effect modification by genetic variants. Nutr. Cancer 2012, 64, 704–713. [Google Scholar]
  12. Zemel, M.B.; Sun, X. Dietary calcium and dairy products modulate oxidative and inflammatory stress in mice and humans. J. Nutr. 2008, 138, 1047–1052. [Google Scholar] [PubMed]
  13. Ganmaa, D.; Li, X.M.; Wang, J.; Qin, L.Q.; Wang, P.Y.; Sato, A. Incidence and mortality of testicular and prostatic cancers in relation to world dietary practices. Int. J. Cancer 2002, 98, 262–267. [Google Scholar] [CrossRef] [PubMed]
  14. Torfadottir, J.E.; Steingrimsdottir, L.; Mucci, L.; Aspelund, T.; Kasperzyk, J.L.; Olafsson, O.; Fall, K.; Tryggvadottir, L.; Harris, T.B.; Launer, L.; et al. Milk intake in early life and risk of advanced prostate cancer. Am. J. Epidemiol. 2012, 175, 144–153. [Google Scholar] [CrossRef] [PubMed]
  15. Pettersson, A.; Kasperzyk, J.L.; Kenfield, S.A.; Richman, E.L.; Chan, J.M.; Willett, W.C.; Stampfer, M.J.; Mucci, L.A.; Giovannucci, E.L. Milk and dairy consumption among men with prostate cancer and risk of metastases and prostate cancer death. Cancer Epidemiol. Biomark. Prev. 2012, 21, 428–436. [Google Scholar] [CrossRef]
  16. Giovannucci, E.; Rimm, E.B.; Colditz, G.A.; Stampfer, M.J.; Ascherio, A.; Chute, C.G.; Willett, W.C. A prospective study of dietary fat and risk of prostate cancer. J. Natl. Cancer Inst. 1993, 85, 1571–1579. [Google Scholar] [CrossRef] [PubMed]
  17. Salem, S.; Salahi, M.; Mohseni, M.; Ahmadi, H.; Mehrsai, A.; Jahani, Y.; Pourmand, G. Major dietary factors and prostate cancer risk: A prospective multicenter case-control study. Nutr. Cancer 2011, 63, 21–27. [Google Scholar] [PubMed]
  18. Pelser, C.; Mondul, A.M.; Hollenbeck, A.R.; Park, Y. Dietary fat, fatty acids, and risk of prostate cancer in the NIH-AARP diet and health study. Cancer Epidemiol. Biomark. Prev. 2013, 22, 697–707. [Google Scholar] [CrossRef]
  19. Ohwaki, K.; Endo, F.; Kachi, Y.; Hattori, K.; Muraishi, O.; Nishikitani, M.; Yano, E. Relationship between dietary factors and prostate-specific antigen in healthy men. Urol. Int. 2012, 89, 270–274. [Google Scholar] [CrossRef] [PubMed]
  20. Erkkilä, A.; de Mello, V.D.F.; Risérus, U.; Laaksonen, D.E. Dietary fatty acids and cardiovascular disease: An epidemiological approach. Prog. Lipid Res. 2008, 47, 172–187. [Google Scholar] [CrossRef] [PubMed]
  21. White, H.M.; Richert, B.T.; Latour, M.A. Impacts of Nutrition and Environmental Stressors on Lipid Metabolism. In Lipid Metabolism; Baeze, R.V., Ed.; InTech: Rijeka, Croatia, 2013; Chapter 10. [Google Scholar] [CrossRef]
  22. Fatty Acids: Methylene-Interrupted Double Bonds. Available online: http://lipidlibrary.aocs.org/Lipids/fa_poly/index.htm (accessed on 22 August 2014).
  23. Lenihan-Geels, G.; Bishop, K.S.; Ferguson, L.R. Alternative sources of omega-3 fats: Can we find a sustainable substitute for fish? Nutrients 2013, 5, 1301–1315. [Google Scholar] [CrossRef] [PubMed]
  24. Plourde, M.; Cunnane, S.C. Extremely limited synthesis of long chain polyunsaturates in adults: Implications for their dietary essentiality and use as supplements. Appl. Physiol. Nutr. Metab. 2007, 32, 619–634. [Google Scholar] [CrossRef] [PubMed]
  25. Plourde, M.; Fortier, M.; Vandal, M.; Tremblay-Mercier, J.; Freemantle, E.; Begin, M.; Pifferi, F.; Cunnane, S.C. Unresolved issues in the link between docosahexaenoic acid and Alzheimer’s disease. Prostaglandins Leukot. Essent. Fat. Acids 2007, 77, 301–308. [Google Scholar] [CrossRef]
  26. Barcelo-Coblijn, G.; Murphy, E.J. Alpha-linolenic acid and its conversion to longer chain n-3 fatty acids: Benefits for human health and a role in maintaining tissue n-3 fatty acid levels. Prog. Lipid Res. 2009, 48, 355–374. [Google Scholar] [CrossRef] [PubMed]
  27. Richman, E.; Kenfield, S.A.; Chavarro, J.E.; Stampfer, M.J.; Giovannucci, E.L.; Willett, W.C.; Chan, J.M. Fat intake after diagnosis and risk of lethal prostate cancer and all-cause mortality. JAMA 2013, 173, 1–8. [Google Scholar]
  28. Blein, S.; Berndt, S.; Joshi, A.D.; Campa, D.; Ziegler, R.G.; Riboli, E.; Cox, D.G.; Gaudet, M.M.; Stevens, V.L.; Diver, W.R.; et al. Factors associated with oxidative stress and cancer risk in the breast and prostate cancer cohort consortium. Free Radic. Res. 2014, 48, 380–386. [Google Scholar] [CrossRef]
  29. Lockett, K.L.; Hall, M.C.; Clark, P.E.; Chuang, S.C.; Robinson, B.; Lin, H.Y.; Su, L.J.; Hu, J.J. DNA damage levels in prostate cancer cases and controls. Carcinogenesis 2006, 27, 1187–1193. [Google Scholar] [CrossRef] [PubMed]
  30. Kanwal, R.; Pandey, M.; Bhaskaran, N.; Maclennan, G.T.; Fu, P.; Ponsky, L.E.; Gupta, S. Protection against oxidative DNA damage and stress in human prostate by glutathione S-transferase P1. Mol. Carcinog. 2014, 53, 8–18. [Google Scholar] [CrossRef] [PubMed]
  31. Wasson, G.R.; McKelvey-Martin, V.J.; Downes, C.S. The use of the comet assay in the study of human nutrition and cancer. Mutagenesis 2008, 23, 153–162. [Google Scholar] [CrossRef] [PubMed]
  32. Liao, W.; McNutt, M.A.; Zhu, W.G. The comet assay: A sensitive method for detecting DNA damage in individual cells. Methods 2009, 48, 46–53. [Google Scholar] [CrossRef] [PubMed]
  33. Erdrich, S.; Bishop, K. The Modified Mediterranean Diet for Men: Recipe Collection. Available online: https://cdn.auckland.ac.nz/assets/fmhs/sms/nutrition/pcd/docs/recipes.pdf (accessed on 16 June 2014).
  34. Martinez-Gonzalez, M.A.; Garcia-Arellano, A.; Toledo, E.; Salas-Salvado, J.; Buil-Cosiales, P.; Corella, D.; Covas, M.I.; Schroder, H.; Aros, F.; Gomez-Gracia, E.; et al. A 14-item Mediterranean diet assessment tool and obesity indexes among high-risk subjects: The PREDIMED trial. PLoS One 2012. [Google Scholar] [CrossRef] [Green Version]
  35. Dhillon, V.S.; Thomas, P.; Fenech, M. Comparison of DNA damage and repair following radiation challenge in buccal cells and lymphocytes using single-cell gel electrophoresis. Int. J. Radiat. Biol. 2004, 80, 517–528. [Google Scholar] [CrossRef] [PubMed]
  36. Olive, P.L.; Banath, J.P. The comet assay: A method to measure DNA damage in individual cells. Nat. Protoc. 2006, 1, 23–29. [Google Scholar] [CrossRef] [PubMed]
  37. Karunasinghe, N.; Ryan, J.; Tuckey, J.; Masters, J.; Jamieson, M.; Clarke, L.C.; Marshall, J.R.; Ferguson, L.R. DNA stability and serum selenium levels in a high-risk group for prostate cancer. Cancer Epidemiol. Biomark. Prev. 2004, 13, 391–397. [Google Scholar]
  38. Ferguson, L.R.; Han, D.Y.; Fraser, A.G.; Huebner, C.; Lam, W.J.; Morgan, A.R.; Duan, H.; Karunasinghe, N. Genetic factors in chronic inflammation: Single nucleotide polymorphisms in the STAT-JAK pathway, susceptibility to DNA damage and Crohn’s disease in a New Zealand population. Mutat. Res. 2010, 690, 108–115. [Google Scholar] [CrossRef]
  39. Rise, P.; Eligini, S.; Ghezzi, S.; Colli, S.; Galli, C. Fatty acid composition of plasma, blood cells and whole blood: Relevance for the assessment of the fatty acid status in humans. Prostaglandins Leukot. Essent. Fat. Acids 2007, 76, 363–369. [Google Scholar] [CrossRef]
  40. Sun, Q.; Ma, J.; Campos, H.; Hankinson, S.E.; Hu, F.B. Comparison between plasma and erythrocyte fatty acid content as biomarkers of fatty acid intake in US women. Am. J. Clin. Nutr. 2007, 86, 74–81. [Google Scholar] [PubMed]
  41. Katan, M.B.; Deslypere, J.P.; van Birgelen, A.P.; Penders, M.; Zegwaard, M. Kinetics of the incorporation of dietary fatty acids into serum cholesteryl esters, erythrocyte membranes, and adipose tissue: An 18-month controlled study. J. Lipid Res. 1997, 38, 2012–2022. [Google Scholar] [PubMed]
  42. Katan, M.B.; Grundy, S.M.; Willett, W.C. Should a low-fat, high-carbohydrate diet be recommended for everyone? Beyond low-fat diets. N. Engl. J. Med. 1997, 337, 563–566; discussion 566–567. [Google Scholar] [PubMed]
  43. Harris, W.S. The omega-3 index: Clinical utility for therapeutic intervention. Curr. Cardiol. Rep. 2010, 12, 503–508. [Google Scholar] [CrossRef] [PubMed]
  44. Bailey-Hall, E.; Nelson, E.B.; Ryan, A.S. Validation of a rapid measure of blood PUFA levels in humans. Lipids 2008, 43, 181–186. [Google Scholar] [CrossRef] [PubMed]
  45. Bibus, D.M.; Lipid Technologies, LLC, Austin, MN, USA. Personal communication, 2014.
  46. Harris, W.S. The omega-3 index as a risk factor for coronary heart disease. Am. J. Clin. Nutr. 2008, 87, 1997S–2002S. [Google Scholar] [PubMed]
  47. Gann, P.H.; Hennekens, C.H.; Sacks, F.M.; Grodstein, F.; Giovannucci, E.L.; Stampfer, M.J. Prospective study of plasma fatty acids and risk of prostate cancer. J. Natl. Cancer Inst. 1994, 86, 281–286. [Google Scholar] [CrossRef] [PubMed]
  48. Ma, J.; Folsom, A.R.; Shahar, E.; Eckfeldt, J.H. Plasma fatty acid composition as an indicator of habitual dietary fat intake in middle-aged adults. The Atherosclerosis Risk in Communities (ARIC) Study Investigators. Am. J. Clin. Nutr. 1995, 62, 564–571. [Google Scholar] [PubMed]
  49. Saadatian-Elahi, M.; Slimani, N.; Chajes, V.; Jenab, M.; Goudable, J.; Biessy, C.; Ferrari, P.; Byrnes, G.; Autier, P.; Peeters, P.H.; et al. Plasma phospholipid fatty acid profiles and their association with food intakes: Results from a cross-sectional study within the European Prospective Investigation into Cancer and Nutrition. Am. J. Clin. Nutr. 2009, 89, 331–346. [Google Scholar] [CrossRef] [PubMed]
  50. Holub, B.J.; Wlodek, M.; Rowe, W.; Piekarski, J. Correlation of omega-3 levels in serum phospholipid from 2053 human blood samples with key fatty acid ratios. Nutr. J. 2009, 8, 58. [Google Scholar] [CrossRef] [PubMed]
  51. Alhazmi, A.; Stojanovski, E.; Garg, M.L.; McEvoy, M. Fasting whole blood fatty acid profile and risk of type 2 diabetes in adults: A nested case control study. PLoS One 2014. [Google Scholar] [CrossRef]
  52. Surette, M.E. Dietary omega-3 PUFA and health: Stearidonic acid-containing seed oils as effective and sustainable alternatives to traditional marine oils. Mol. Nutr. Food Res. 2013, 57, 748–759. [Google Scholar] [CrossRef] [PubMed]
  53. Leitzmann, M.F.; Stampfer, M.J.; Michaud, D.S.; Augustsson, K.; Colditz, G.C.; Willett, W.C.; Giovannucci, E.L. Dietary intake of n-3 and n-6 fatty acids and the risk of prostate cancer. Am. J. Clin. Nutr. 2004, 80, 204–216. [Google Scholar] [PubMed]
  54. Collins, A. The comet assay for DNA damage and repair. Mol. Biotechnol. 2004, 26, 249–261. [Google Scholar] [CrossRef] [PubMed]
  55. Waters, D.J.; Shen, S.; Glickman, L.T.; Cooley, D.M.; Bostwick, D.G.; Qian, J.; Combs, G.F.; Morris, J.S. Prostate cancer risk and DNA damage: Translational significance of selenium supplementation in a canine model. Carcinogenesis 2005, 26, 1256–1262. [Google Scholar] [CrossRef] [PubMed]
  56. Mroz, R.M.; Schins, R.P.F.; Li, H.; Jimenez, L.A.; Drost, E.M.; Holownia, A.; MacNee, W.; Donaldson, K. Nanoparticle-driven DNA damage mimics irradiation-related carcinogenesis pathways. Eur. Respir. J. 2008, 31, 241–251. [Google Scholar] [CrossRef] [PubMed]
  57. Karanika, S.; Karantanos, T.; Li, L.; Corn, P.G.; Thompson, T.C. DNA damage response and prostate cancer: Defects, regulation and therapeutic implications. Oncogene 2014. [Google Scholar] [CrossRef]
  58. Machowetz, A.; Poulsen, H.E.; Gruendel, S.; Weimann, A.; Fito, M.; Marrugat, J.; de la Torre, R.; Salonen, J.T.; Nyyssonen, K.; Mursu, J.; et al. Effect of olive oils on biomarkers of oxidative DNA stress in Northern and Southern Europeans. FASEB J. 2007, 21, 45–52. [Google Scholar] [CrossRef] [PubMed]
  59. Colomer, R.; Menendez, J.A. Mediterranean diet, olive oil and cancer. Clin. Transl. Oncol. 2006, 8, 15–21. [Google Scholar] [CrossRef] [PubMed]
  60. Weinbrenner, T.; Fito, M.; de la Torre, R.; Saez, G.T.; Rijken, P.; Tormos, C.; Coolen, S.; Albaladejo, M.F.; Abanades, S.; Schroder, H.; et al. Olive oils high in phenolic compounds modulate oxidative/antioxidative status in men. J. Nutr. 2004, 134, 2314–2321. [Google Scholar] [PubMed]
  61. Mitjavila, M.T.; Fandos, M.; Salas-Salvado, J.; Covas, M.I.; Borrego, S.; Estruch, R.; Lamuela-Raventos, R.; Corella, D.; Martinez-Gonzalez, M.A.; Sanchez, J.M.; et al. The Mediterranean diet improves the systemic lipid and DNA oxidative damage in metabolic syndrome individuals. A randomized, controlled, trial. Clin. Nutr. 2013, 32, 172–178. [Google Scholar] [CrossRef] [PubMed]
  62. Norrish, A.E.; Skeaff, C.M.; Arribas, G.L.; Sharpe, S.J.; Jackson, R.T. Prostate cancer risk and consumption of fish oils: A dietary biomarker-based case-control study. Br. J. Cancer 1999, 81, 1238–1242. [Google Scholar] [CrossRef] [PubMed]

Share and Cite

MDPI and ACS Style

Bishop, K.S.; Erdrich, S.; Karunasinghe, N.; Han, D.Y.; Zhu, S.; Jesuthasan, A.; Ferguson, L.R. An Investigation into the Association between DNA Damage and Dietary Fatty Acid in Men with Prostate Cancer. Nutrients 2015, 7, 405-422. https://doi.org/10.3390/nu7010405

AMA Style

Bishop KS, Erdrich S, Karunasinghe N, Han DY, Zhu S, Jesuthasan A, Ferguson LR. An Investigation into the Association between DNA Damage and Dietary Fatty Acid in Men with Prostate Cancer. Nutrients. 2015; 7(1):405-422. https://doi.org/10.3390/nu7010405

Chicago/Turabian Style

Bishop, Karen S., Sharon Erdrich, Nishi Karunasinghe, Dug Yeo Han, Shuotun Zhu, Amalini Jesuthasan, and Lynnette R. Ferguson. 2015. "An Investigation into the Association between DNA Damage and Dietary Fatty Acid in Men with Prostate Cancer" Nutrients 7, no. 1: 405-422. https://doi.org/10.3390/nu7010405

APA Style

Bishop, K. S., Erdrich, S., Karunasinghe, N., Han, D. Y., Zhu, S., Jesuthasan, A., & Ferguson, L. R. (2015). An Investigation into the Association between DNA Damage and Dietary Fatty Acid in Men with Prostate Cancer. Nutrients, 7(1), 405-422. https://doi.org/10.3390/nu7010405

Article Metrics

Back to TopTop