Skip to main content
Erschienen in: Cardiovascular Diabetology 1/2013

Open Access 01.12.2013 | Original investigation

Association between dietary phylloquinone intake and peripheral metabolic risk markers related to insulin resistance and diabetes in elderly subjects at high cardiovascular risk

verfasst von: Martí Juanola-Falgarona, Jordi Salas-Salvadó, Ramon Estruch, Maria P Portillo, Rosa Casas, Jonatan Miranda, Miguel A Martínez-González, Mònica Bulló

Erschienen in: Cardiovascular Diabetology | Ausgabe 1/2013

Abstract

Background

Vitamin K has been related to glucose metabolism, insulin sensitivity and diabetes. Because inflammation underlies all these metabolic conditions, it is plausible that the potential role of vitamin K in glucose metabolism occurs through the modulation of cytokines and related molecules. The purpose of the study was to assess the associations between dietary intake of vitamin K and peripheral adipokines and other metabolic risk markers related to insulin resistance and type 2 diabetes mellitus.

Methods

Cross-sectional and longitudinal assessments of these associations in 510 elderly participants recruited in the PREDIMED centers of Reus and Barcelona (Spain). We determined 1-year changes in dietary phylloquinone intake estimated by food frequency questionnaires, serum inflammatory cytokines and other metabolic risk markers.

Results

In the cross-sectional analysis at baseline no significant associations were found between dietary phylloquinone intake and the rest of metabolic risk markers evaluated, with exception of a negative association with plasminogen activator inhibitor-1. After 1-year of follow-up, subjects in the upper tertile of changes in dietary phylloquinone intake showed a greater reduction in ghrelin (−15.0%), glucose-dependent insulinotropic peptide (−12.9%), glucagon-like peptide-1 (−17.6%), IL-6 (−27.9%), leptin (−10.3%), TNF (−26.9%) and visfatin (−24.9%) plasma concentrations than those in the lowest tertile (all p<0.05).

Conclusion

These results show that dietary phylloquinone intake is associated with an improvement of cytokines and other markers related to insulin resistance and diabetes, thus extending the potential protection by dietary phylloquinone on chronic inflammatory diseases.

Trial registration

Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JS, RE, MAM and MB contributed to the study design, study performance, data analysis and writing of the manuscript; MJ-F and RC performed biochemical measurements and contributed to the data analysis and the writing of the manuscript. MP and JM revised the manuscript critically for important intellectual content. All authors had a substantial input in critically appraising the manuscript and approved the final version to be published. All authors read and approved the final manuscript.
Abkürzungen
FFQ
Food Frequency Questionnaire
GLP-1
Glucagon-like peptide 1
IL
Interleukin
MedDiet
Mediterranean Diet
PAI-1
Plasminogen activator inhibitor-1
T2DM
Type 2 diabetes mellitus
TNF
Tumor necrosis factor alpha.

Introduction

Vitamin K (K1 or phylloquinone and K2 or menaquinones) is recognized as an essential element in the synthesis of carboxylate clotting factors involved in prothrombotic disorders and cardiovascular disease. More recently, it has been reported that vitamin K also participates in the gamma-carboxylation reactions of other proteins such as osteocalcin, and may also exert a protective role against age-related bone loss [1, 2]. However, additional roles of vitamin K, independent of these effects have been described [3]. Thus, there is evidence that both osteocalcin and vitamin K may have a potential beneficial role in glucose metabolism, insulin sensitivity and type 2 diabetes (T2DMs) [47]. Since inflammation underlies all these chronic metabolic conditions, it is plausible that the potential role of vitamin K in glucose metabolism partly occurs through the modulation of cytokines and other metabolic risk markers related to insulin resistance and diabetes.
In-vitro studies have shown an anti-inflammatory effect of vitamin K. Human macrophage THP-1 cells incubated with vitamin K reduced the interleukin-6 (IL-6) expression compared to non-incubated cells. Likewise, rats fed with a vitamin K-deficient diet showed an enhanced expression of genes involved in the acute inflammatory response [8]. In a subsample of 1,321 subjects from the Framingham Offspring Study, both plasma phylloquinone and dietary phylloquinone intake were inversely associated with peripheral concentrations of some inflammatory markers [9]. However, in a 3-year randomized clinical trial designed to assess the effect of vitamin K supplementation on bone loss, no differences were found in the plasma IL-6, C-reactive protein or osteoprotegerin concentrations of participants receiving or not a phylloquinone supplement [10].
The purposes of the present study were to assess the cross-sectional associations between dietary intake of vitamin K1 and selected adipokines or other metabolic risk markers related to inflammation, insulin resistance and diabetes; and to longitudinally analyse the associations between changes in dietary phylloquinone intake and changes in these risk markers after one-year of follow-up in a cohort of elderly subjects at high cardiovascular risk.

Methods

Study population

In the present study we conducted a cross-sectional and a longitudinal assessment of 568 consecutively recruited participants for the PREDIMED trial centers of Reus and Barcelona (Spain). The PREDIMED study is a large, parallel group, multicenter, controlled, randomized, clinical trial designed to evaluate the effect of the Mediterranean diet on the primary prevention of cardiovascular disease in elderly. Participants were community-dwelling men and women aged 55–80 and 60–80 years, respectively. At baseline they were free of cardiovascular disease and were either diabetic or met at least three or more coro-nary heart disease risk factors including smoking, hypertension (blood pressure ≥ 140/90 mmHg or treatment with antihypertensive drugs), dyslipidemia [low-density lipoprotein cholesterol level ≥ 160 mg/dL or treatment with hypolipidemic drugs], high-density lipoprotein cholesterol level of 40 mg/dL or lower, overweight [Body mass index ≥ 25 kg/m2 or family history of premature cardiovascular disease. Exclusion criteria included any severe chronic illness, drug or alcohol addiction, history of allergy or intolerance to olive oil or nuts, or a low predicted likelihood of changing dietary habits according to Prochaska and DiClemente’s stages-of-change model. The participants included in the PREDIMED study were randomly assigned to 3 intervention groups: a Mediterranean Diet with virgin olive oil, a Mediterranean Diet with mixed nuts and a control group where a low-fat diet is recommended according to the American Heart Association guidelines. Full details of the PREDIMED study protocol have been published elsewhere [11, 12]. The study protocol was approved by the institutional review boards of Hospital Clínic and Hospital Universitari Sant Joan de Reus, and all subjects agreed to participate in the study and gave their written informed consent. The trail was registered in http://​www.​controlled-trials.​com as ISRCTN35739639.

Dietary assessment

Two individual motivational interviews every 3 months to negotiate nutrition goals, and group educational sessions on a quarterly basis, focused to adapt the customary diet to a traditional Mediterranean diet, were compared with a control group, which received verbal instructions and a leaflet recommending the National Cholesterol Education Program Adult Treatment Panel III dietary guidelines (http://​www.​predimed.​org). At baseline and after one-year of follow-up participants were assessed by trained dieticians who administered a previously validated 137-item food frequency questionnaire (FFQ) [13]. Additionally, a validated brief 14-item Mediterranean Diet Adherence Screener was used to assess adherence to the traditional Mediterranean Diet (MedDiet) where subjects were asked for their consumption of the most common Mediterranean foods [14]. Subjects with a higher consumption of healthier foods such as olive oil, vegetables, legumes, fruit, nuts, fish and seafood, white meat instead of red meat, sofrito and red wine scored higher in this questionnaire. Energy and nutrient intakes were calculated from Spanish food composition tables [15, 16]. Dietary phylloquinone intake was calculated using the database of the US Department of Agriculture, Human Nutrition Research Center on Aging at Tufts University (http://​www.​nal.​usda.​gov/​fnic/​foodcomp/​search) and the reproducibility and relative validity of a self-administered FFQ used in the study was validated for dietary phylloquinone intake. Reproducibility for dietary phylloquinone intake explored by the Pearson correlation coefficient (r) ranged was 0.755, and the intraclass correlation coefficient (ICC) was 0.860, p<0.001.

Other measurements

Additional information was collected on subjects’ medical record, including the use of medication. Trained personnel measured baseline weight, height and waist circumference as previously reported [11, 12], as well as blood pressure in triplicate with a validated semiautomatic oscillometer (Omron HEM-705CP, Hoofddorp, the Netherlands). Leisure-time physical activity was evaluated using the validated Spanish version of the Minnesota leisure-time physical activity questionnaire. Centralized laboratory biochemical analyses were performed on blood samples obtained in fasting conditions. Plasma glucose, serum cholesterol, high-density lipoprotein cholesterol and triglyceride concentrations were determined using standard enzymatic automated methods. In patients whose triglyceride levels were less than 400 mg/dL, low-density lipoprotein cholesterol concentrations were estimated using the Friedewald formula. Inflammatory and metabolic markers (adiponectin, adipsin, C-peptide, ghrelin, glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide, IL-6, leptin, plasminogen activator inhibitor-1 (PAI-1), resistin, tumor necrosis factor (TNF) and visfatin were determined in plasma using the Bio-Plex cytokine assay (Bio-Rad Laboratories Inc., Hercules, CA, USA) according to manufacturer’s instructions.

Statistical analysis

Mean (SD) or percentages (%) were used to describe the participant’s baseline characteristics. Inflammatory and metabolic risk markers of insulin resistance and diabetes were logarithmically transformed to achieve a normal distribution, and the geometric mean and 95% confidence interval were used to describe these variables. For cross-sectional associations, we used multivariable linear regression models to assess the associations between metabolic risk markers (dependent variables in each model) and dietary vitamin K intake (independent variable in all models) adjusted for potential confounding variables [age, sex, body mass index, smoking (never, current, past), physical activity (kcal/d), type 2 diabetes mellitus (T2DM), total energy (kcal/d) and fibre intake (g/d), dietary polyunsaturated fatty acids (PUFA) intake (g/d) and adherence to MedDiet (14-item score, quantitative)]. The selection of potential confounders was done using clinical plausible and bibliographical criteria.
Interaction tests for sex and T2DM (sex*vitamin K intake, T2DM* vitamin K intake) were not statistically significant. No interaction was observed for intervention group and changes in dietary phylloquinone intake in any outcome (inclusion of intervention group*one-year changes in dietary phylloquinone intake in the regression models). In the longitudinal analyses, subjects were categorized according to tertiles of changes in dietary vitamin k intake from baseline to 1-year follow-up. A multivariable linear regression model was fitted to evaluate the relationship between metabolic risk markers at 1-year of follow-up (dependent variables in each model) and tertiles of change in vitamin k intake (independent variable in all models) adjusting by age, sex, smoking (never, current, past), physical activity (kcal/d), T2DM, intervention group, baseline values of each metabolic marker and changes in BMI, total energy intake (kcal/d), fiber intake (g/d), dietary PUFA intake (g/d) and adherence to MedDiet (the relative change in the 14-item score was expressed as a percentage). All statistical tests were two-tailed, and the significance level was p<0.05. Statistical analysis was performed using SPSS 17.0 for Windows (SPSS Inc, Chicago, IL).

Results

Of the 568 subjects consecutively recruited, 57 were excluded because they were using anti-inflammatory medication at baseline and 1 because he hd not completed the FFQ at follow-up. Table 1 summarizes the baseline characteristics of the study participants. Study subjects were 67.2±6.0 years old and 44.4% of them were male. Most of them were overweight or obese (92.2%), had hypertension (91.8%), were hypercholesterolemic (62.9%), and 55% had T2DM. Table 2 presents the baseline and 1-year dietary changes by tertiles of change in dietary phylloquinone intake. Subjects in the highest tertile of change consumed less amounts of vitamin K1 at baseline. This change after intervention was due to a higher consumption of total vegetables and, especially, leafy green vegetables, the primary dietary source of vitamin K1. In cross-sectional analyses at baseline, a negative significant association was found between dietary phylloquinone intake and PAI-1 plasma concentrations, even after adjusting for potential confounders (Table 3), but not for the rest of the metabolic risk markers. However, after 1-year of follow-up, those subjects in the upper tertile of changes in dietary phylloquinone intake showed a significant greater reduction in ghrelin (15.0%), GIP (12.9%), GLP-1 (17.6%), IL-6 (27.9%), leptin (10.3%), TNF (26.9%) and visfatin (24.9%) than those subjects in the lowest tertile (Table 4). No significant associations were found between changes in dietary phylloquinone intake and other metabolic markers of inflammation, insulin resistance and diabetes.
Table 1
Baseline characteristics of study subjects by tertiles of change in dietary phylloquinone intake (μg/day)
Characteristics
All subjects (n=510)
P
Tertile 1
Tertile 2
Tertile 3
(−718.2 to −69.9)
(−26.8 to 69.4)
(70.5 to 767.5)
Clinical characteristics
    
Men/women, n
80/92
68/107
78/85
0.194
Age, years
66.8 ± 6.1
68.1 ± 6.2
66.6 ± 5.7
0.030
BMI, kg/m 2
29.39 ± 3.17
29.21 ± 3.18
29.17 ± 3.05
0.608
Waist circumference, cm
100.6 ± 8.6
100.5 ± 9.2
100.9 ± 8.9
0.940
Current smoker, n (%)
26 (15.1)
29 (16.6)
16 (9.8)
0.561
Type 2 diabetes, n (%),
95 (55.2)
100 (57.1)
85 (52.1)
0.650
Overweight/Obesity, n (%)
159 (92.4)
162 (92.6)
149 (91.4)
0.911
Hypertension, n (%)
156 (90.7)
164 (93.7)
148 (90.8)
0.121
Dyslipydemia, n (%)
103 (61.7)
116 (68.6)
92 (57.9)
0.511
Intervention group MD+VOO/MD+nuts/CD, n
44/54/74
64/57/54
76/45/42
0.001
Leisure-time physical activity, METS-min/day
277.8 ± 261.9
263.0 ± 247.8
294.2 ± 279.4
0.313
Metabolic risk markers
    
C-Peptide (ng/mL)
1.41 (1.34 to 1.49)
1.33 (1.24 to 1.44)
1.34 (1.25 to 1.42)
0.374
Ghrelin (pg/mL)
12.88 (11.95 to 3.89)
13.38 (12.31 to 14.54)
12.77 (11.75 to 13.87)
0.685
GIP (pg/mL)
92.55 (84.76 to 101.05)
98.40 (89.70 to 107.95)
85.72 (78.25 to 93.91)
0.107
GLP-1 (ng/mL)
1.22 (1.09 to 1.36)
1.31 (1.17 to 1.48)
1.16 (1.03 to 1.30)
0.312
IL-6 (pg/ml)
9.96 (8.80 to 11.27)
10.88 (9.63 to 12.29)
8.99 (7.93 to 10.19)
0.102
Leptin (ng/mL)
2.87 (2.60 to 3.17)
3.20 (2.88 to 3.57)
2.91 (2.63 to 3.22)
0.262
PAI-1 (ng/mL)
3.20 (3.05 to 3.37)
3.28 (3.11 to 3.46)
3.37 (3.21 to 3.54)
0.378
Resistin (ng/mL)
0.98 (0.92 to 1.05)
1.05 (0.98 to 1.12)
1.01 (0.94 to 1.08)
0.413
TNF (pg/mL)
13.36 (11.57 to 15.44)
13.76 (11.89 to 15.93)
11.35 (9.80 to 13.14)
0.145
Visfatin (ng/mL)
4.13 (3.53 to 4.84)
4.54 (3.85 to 5.37)
3.70 (3.13 to 4.37)
0.225
Adiponectin (μg/mL)
48.87 (42.67 to 55.98)
49.51 (42.68 to 57.43)
42.37 (35.45 to 50.64)
0.302
Adipsin (μg/mL)
1.12 (1.01 to 1.24)
1.14 (1.03 to 1.28)
0.91 (0.77 to 1.08)
0.029
Data are given as mean (SD) or number (%) unless otherwise indicated. Metabolic risk markers are expressed as geometric means (IC95%). P values of the difference between tertils of change in dietary phylloquinone intake (ANOVA for the continuous variables and a χ 2 test for categorical variables). MD+VOO Mediterranean diet + Virgin Olive Oil, MD+nuts Mediterranean diet + Nuts, CD Control diet, BMI body mass index, GLP-1 glucagon-like peptide 1, GIP glucose-dependent insulinotropic polypeptide; IL-6 interleukin-6, PAI-1 plasminogen activator inhibitor-1, TNF-α tumor necrosis factor-α.
Table 2
Baseline and 1-year change of dietary characteristics by tertiles of change in dietary phylloquinone intake (μg/day)
 
Tertile 1
Tertile 2
Tertile 3
P
(n=172)
(n=175)
(n=163)
Total energy intake, (kcal/d)
    
 Baseline
2526 ± 557
2359 ± 547
2270 ± 514
<0.001
 Change
−85 ± 561
86 ± 30
198 ± 521
<0.001
Energy from total protein, (% kcal)
    
 Baseline
17 ± 3
17 ± 3
17 ± 3
0.386
 Change
0 ± 3
−1 ± 3
0 ± 3
0.134
Energy from total carbohidrates, (% kcal)
    
 Baseline
42 ± 6
42 ± 7
42 ± 7
0.982
 Change
−2 ± 6
−2 ± 7
−2 ± 8
0.958
Fiber intake, g/1,000 kcal
    
 Baseline
12 ± 4
12 ± 3
11 ± 3
0.023
 Change
−1 ± 3
0 ± 2
2 ± 3
<0.001
Energy from total fat, (% kcal)
    
 Baseline
39 ± 6
39 ± 6
39 ± 6
0.393
 Change
2 ± 6
3 ± 7
2 ± 8
0.240
  Saturated fatty acids, (%)
    
   Baseline
27 ± 4
26 ± 5
26 ± 4
0.829
   Change
−2 ± 5
−3 ± 5
−2 ± 5
0.271
  MUFA, (%)
    
   Baseline
49 ± 5
48 ± 5
49 ± 5
0.242
   Change
1 ± 6
2 ± 5
1 ± 6
0.140
  PUFA, (%)
    
   Baseline
17 ± 4
17 ± 4
16 ± 4
0.456
   Change
0 ± 5
1 ± 5
1 ± 5
0.221
Phylloquinone intake, (μg/d)
    
 Baseline
490 ± 229
401 ± 209
297 ± 163
<0.001
 Change
−176 ± 150
16 ± 25
266 ± 164
<0.001
Vegetable consumption, (g/d)
    
 Baseline
413 ± 167
380 ± 182
335 ± 186
<0.001
 Change
−42 ± 180
17 ± 131
141 ± 175
<0.001
Leafy green vegetables, (g/d)
    
 Baseline
112 ± 47
95 ± 47
75 ± 44
<0.001
 Change
−30 ± 38
1 ± 20
55 ± 44
<0.001
Other vegetables, (g/d)
    
 Baseline
276 ± 138
265 ± 142
239 ± 147
0.053
 Change
−13 ± 149
7 ± 120
79 ± 153
<0.001
Fruit consumption, (g/d)
    
 Baseline
479 ± 258
451 ± 240
432 ± 251
0.221
 Change
−12 ± 223
36 ± 211
67 ± 238
0.005
Legume consumption, (g/d)
    
 Baseline
20 ± 11
19 ± 12
17 ± 9
0.046
 Change
1 ± 12
4 ± 12
7 ± 13
<0.001
Cereal consumption, (g/d)
    
 Baseline
270 ± 103
256 ± 102
249 ± 103
0.150
 Change
−27 ± 100
−10 ± 119
−1 ± 113
0.091
Dairy product consumption, (g/d)
    
 Baseline
357 ± 227
371 ± 252
349 ± 195
0.656
 Change
−8 ± 212
−8 ± 190
2 ± 181
0.854
Meat consumption, (g/d)
    
 Baseline
154 ± 61
148 ± 61
143 ± 56
0.243
 Change
−14 ± 58
−12 ± 62
−2 ± 61
0.137
Fish consumption, (g/d)
    
 Baseline
115 ± 46
106 ± 46
106 ± 42
0.099
 Change
−1 ± 52
9 ± 46
15 ± 43
0.008
Alcohol intake, (g/d)
    
 Baseline
13 ± 19
10 ± 19
7 ± 12
0.013
 Change
0 ± 13
−1 ± 17
1 ± 9
0.173
Olive oil consumption, (g/d)
    
 Baseline
39 ± 15
36 ± 14
38 ± 15
0.248
 Change
5 ± 19
11 ± 19
9 ± 20
0.021
Nut consumption, (g/d)
    
 Baseline
16 ± 17
14 ± 15
11 ± 13
0.029
 Change
7 ± 25
10 ± 25
11 ± 24
0.185
14-item PREDIMED MedDiet Score
    
 Baseline
9 ± 2
9 ± 2
8 ± 2
0.443
 Change
1 ± 2
1 ± 2
2 ± 2
0.031
Data expressed as mean ± standard deviation. ANOVA was used for analysis of the difference between tertils of change in vitamin K intake. Abbreviations: MUFA monounsaturated fatty acids, PUFA polyunsaturated fatty acids, MedDiet Mediterranean diet.
Table 3
Cross-sectional associations between intake of 100 μg of dietary phylloquinone and inflammatory or metabolic markers at baseline
 
Change in inflammatory marker for 100 additional μg of dietary phylloquinone intake (95% confidence intervals)
P
C-Peptide (ng/mL)
−0.73 (−2.68 to 1.27)
0.472
Ghrelin (pg/mL)
−1.25 (−3.76 to 1.33)
0.339
GIP (pg/mL)
−0.13 (−2.98 to 2.80)
0.928
GLP-1 (ng/mL)
−1.81 (−5.40 to 1.91)
0.335
IL-6 (pg/ml)
−1.68 (−5.46 to 2.25)
0.396
Leptin (ng/mL)
−1.48 (−3.80 to 0.90)
0.221
PAI-1 (ng/mL)
−1.64 (−3.23 to −0.0)2
0.047
Resistin (ng/mL)
−1.42 (−3.61 to 0.81)
0.210
TNF (pg/mL)
−1.24 (−5.73 to 3.46)
0.598
Visfatin (ng/mL)
−1.42 (−6.54 to 3.98)
0.599
Adiponectin (μg/mL)
2.45 (−2.23 to 7.35)
0.310
Adipsin (μg/mL)
1.21 (−2.84 to 5.43)
0.563
Multivariable linear regression models were used for analysis. Data are given in % of change (95% IC). Models are adjusted for sex, age, body-mass-index, smoking (never, current, past), total energy intake (kcal/d), dietary fibre intake (g/d), dietary polyunsaturated fatty acids intake (g/d), physical activity (kcal/d), Mediterranean Diet Score (14-item PREDIMED score, quantitative), and T2DM. GIP Gastric inhibitory polypeptide, GLP-1 Glucagon-like peptide-1, IL-6 Interleukin-6, PAI-1 Plasminogen activator inhibitor-1, TNF Tumor Necrosis Factor α.
Table 4
Longitudinal associations between one-year changes in inflammatory or metabolic markers and tertiles of change in dietary phylloquinone intake (μg/day)
 
Tertile 1
Tertile 2
p
Tertile 3
p
p for trend
C-Peptide (ng/mL)
Ref.
−2.19 (−8.35 to 4.40)
0.505
−6.10 (−12.61 to 0.91)
0.086
0.083
Ghrelin (pg/mL)
Ref.
1.69 (−8.58 to 13.11)
0.758
−15.00 (−24.49 to −4.32)
0.007
0.003
GIP (pg/mL)
Ref.
0.08 (−10.17 to 11.49)
0.989
−12.94 (−22.75 to −1.89)
0.023
0.014
GLP-1 (ng/mL)
Ref.
0.21 (−12.99 to 15.42)
0.977
−17.64 (−29.67 to −3.56)
0.016
0.009
IL-6 (pg/ml)
Ref.
−4.50 (−18.17 to 11.46)
0.559
−27.89 (−39.20 to −14.48)
<0.001
<0.001
Leptin (ng/mL)
Ref.
−7.79 (−15.61 to 0.76)
0.073
−10.26 (−18.62 to −1.03)
0.030
0.044
PAI-1 (ng/mL)
Ref.
−3.06 (−10.65 to 5.17)
0.454
−3.24 (−11.61 to 5.93)
0.476
0.529
Resistin (ng/mL)
Ref.
−2.43 (−11.03 to 7.01)
0.601
−6.66 (−15.71 to 3.35)
0.184
0.180
TNF (pg/mL)
Ref.
−3.96 (−20.47 to 15.98)
0.674
−26.89 (−40.65 to −9.94)
0.003
0.002
Visfatin (ng/mL)
Ref.
−8.08 (−24.73 to 12.24)
0.408
−24.90 (−39.86 to −6.22)
0.012
0.010
Adiponectin (μg/mL)
Ref.
−3.27 (−19.20 to 15.79)
0.716
−7.34 (−23.98 to 12.93)
0.449
0.452
Adipsin (μg/mL)
Ref.
−2.45 (−15.37 to 12.45)
0.732
−7.39 (−20.90 to 8.44)
0.340
0.332
Multivariable linear regression models were used for analysis. Data are given in % of change (95% IC). Models are adjusted for sex, age, change of body-mass-index, smoking (never, current, past), change of total energy intake (kcal/d), change of fibre intake (g/d), change of dietary polyunsaturated fatty acids intake (g/d), physical activity (kcal/d), intervention group, change of Mediterranean Diet Score (%), T2DM and baseline values of each metabolic marker. GIP Gastric inhibitory polypeptide, GLP-1 Glucagon-like peptide-1, IL-6 Interleukin-6, PAI-1 Plasminogen activator inhibitor-1, TNF, Tumor Necrosis Factor α.

Discussion

The results of this study show, for the first time, that an increased dietary intake of phylloquinone is associated with an improvement in inflammatory and other metabolic risk markers related to insulin resistance and diabetes, thus supporting a protective role of vitamin K on low-grade chronic inflammatory diseases.
In recent years, vitamin K has been attributed a putative role in glucose metabolism, insulin resistance and T2DM [17]. Recently, in a prospective study our group has shown that a higher dietary phylloquinone intake was associated to a lower risk of developing T2DM. However, the exact mechanisms underlying this relationship remain still unknown. One potential explanatory mechanism could be related to the role of vitamin K as a cofactor in the carboxylation of vitamin K-dependent proteins, such as osteocalcin [18], GAS6 or Protein S [19] and through their role on NF-kB [2022]. Additionally, some authors have suggested that inflammation may be modulated by a possible antioxidant effect of vitamin K [23].
A cross-sectional study conducted in a subsample from the Framingham Offspring Study, showed an inverse association between 2-fold changes in usual dietary phylloquinone intake or plasma phylloquinone concentrations and seven of the fourteen peripheral inflammatory markers measured [9]. However, the same authors, in a cross-sectional analysis conducted on 400 healthy elderly men and women, did not find any significant association between plasma phylloquinone concentrations and C-reactive protein or IL-6 after adjusting for potential confounders [10]. Similar to the results from Shea and co-workers, we also failed to find any significant association between dietary phylloquinone intake and most of the metabolic risk markers analysed. However, our longitudinal findings are generally consistent with in-vitro studies or those of a previous epidemiological study. In-vitro studies found that the production of the proinflammatory cytokines IL-6 or TNF by human gingival fibroblast or mouse macrophage cells, respectively, decreased when cells were incubated with different vitamin K family compounds [21, 24]. Other studies have found that vitamin K suppresses inflammation by lowering the expression of genes for some proinflammatory cytokines, such as IL-6, IL-1β and TNF [8, 22]. However, only a single 3-year, double-blind, randomized controlled trial has been conducted to evaluate the effect of vitamin K supplementation on peripheral inflammatory marker concentrations. In that study, conducted with 379 healthy men and women, no significant relationship between plasma phylloquinone levels and inflammation markers was shown [10]. In our study we observed a significant improvement in the inflammatory status (leptin, IL-6, TNF) and a decrease in other metabolic risk markers related to insulin resistance and diabetes such as visfatin, ghrelin, GIP and GLP-1 among subjects who increased their dietary intake of phylloquinone after 1-year follow-up, thus contributing to extend the knowledge on the role of vitamin K in humans and to support our previous results on dietary phylloquinone intake and T2DM incidence [7]. The discrepancies between our results and those previously published could be partly explained by the differences between the populations. Our participants were elderly subjects at high cardiovascular risk, whereas, subjects in the study of Shea [9] were healthy and generally free of chronic disease. This may contribute to explain why inflammatory cytokines remained unchanged in that study. Moreover, in our study we assessed the association of inflammation with dietary phylloquinone intake instead of plasma phylloquinone as was done in the previous study. Whether circulating levels of phylloquinone are correlated to dietary phylloquinone intake remains to be elucidated.
It must be noted that leptin, IL6 and TNF are pro-inflammatory cytokines with a recognised role in the development and progression of insulin resistance, T2DM and cardiovascular disease [25, 26]. Also visfatin and ghrelin appears as important mediators of inflammation in addition to glucose-lowering and insulin-mimicking/sensitizing effects or a suppressive role of ghrelin in the release of insulin from the pancreatic islets [2730]. A strong inverse correlation between plasma ghrelin concentrations and insulin resistance has been observed in several studies [3032] and lower concentrations of ghrelin have been observed in T2DM subjects [33]. The negative relationship between changes in dietary phylloquinone intake and plasma incretin concentrations observed in our study could be explained because a higher intake of phylloquinone may promote better glycemic control thus leading less necessary the glucose and insulin regulation mediated by incretins. However, the pleiotropic role recently attributed to incretins could also contribute to explain our results. Although there is growing evidence that incretin hormones (GIP and GLP-1) simulate glucose-dependent insulin secretion and stimulate pancreatic synthesis of insulin, a novel link between inflammation and incretin hormones has been proposed. First, IL-6 increase GLP-1 production in intestinal L cells and alpha pancreatic cells improving insulin secretion and glycemia [34]. Therefore, the reduction of IL-6 levels observed in the subjects allocated in the highest tertile of change in phylloquinone intake could partly explain the reduction in GLP-1 concentrations in this group. Nie et al., have also demonstrated the capacity of GIP to activate inflammatory response and promote secretion of pro-inflammatory cytokines and chemokines in cell culture adipocytes [35]. Additionally, a potential role of GIP on adipose tissue insulin resistance mediated by osteopontin regulation has also been suggested [36]. The results from our study could be related to the potential role of incretins on adipose tissue in a fasting situation rather than to their established role on pancreatic cells in a post-prandial state. Whether or not GIP and GLP-1 need to be considered as new adipokynes or related pro-inflammatory markers could not be elucitaded from the results of our study. Specific studies are needed to get a deeper understanding of the exact role of incretins on adipose tissue and their interaction with the rest of adipokynes.
Our study has several limitations. It should be kept in mind that the subjects in our study were randomly allocated to a healthy Mediterranean diet that could partially account for the reduction in peripheral metabolic risk markers in some of them although no significant interaction between intervention group and dietary phylloquinone intake was observed for any of the outcomes. In order to minimize the potential effect of a healthy dietary pattern on inflammatory response we have adjusted the regression models for the adherence to a MedDiet. Subjects in the PREDIMED study reported a higher dietary intake of phylloquinone than in other epidemiological studies, probably because this study was conducted in a Mediterranean country where the consumption of fruit and vegetables is high. In populations with a lower consumption of phylloquinone or poor nutrition an increase in dietary vitamin K1 would probably be much more beneficial. The cohort studied was elderly and at high risk of cardiovascular disease, so our findings cannot be generalized to younger or healthier individuals. Because there is no perfect correlation between dietary phylloquinone intake and its absorption it would be interesting in the future to evaluate the associations showed in our study not only with dietary phylloquinone intake but also with a circulating marker of vitamin K status. Finally, we cannot discount a slight overestimation of dietary phylloquinone intake due to the use of FFQ and the USDA Food Database Composition. Although the FFQ used in our study was not specifically validated for phylloquinone intake, the intraclass correlation coefficient of vegetables (the main source of dietary vitamin K1) was 0.81, one of the highest coefficients obtained during the validation of the FFQ in the PREDIMED cohort [13]. Balanced against these limitations, the main strength of our study is its longitudinal design, which enables us to suggest a cause-effect relationship between changes in dietary phylloquinone intake and changes in inflammatory and related metabolic risk markers. In addition, our study was conducted in a large sample of individuals, and measured a panel of adipokines and related molecules involved in inflammation, glucose metabolism and cardiovascular risk.
In summary, our results support that an increase in dietary phylloquinone intake can lead to an improvement in inflammation and inflammatory-related molecules and also support the contention that high vitamin K1 intake has a beneficial effect on cardiovascular disease and other inflammation-related disorders.

Acknowledgments

We thank all the participants of the PREDIMED study for their enthusiastic collaboration, the PREDIMED personnel for excellent assistance and the personnel of all affiliated primary care centers. CIBERobn and RTIC RD 06/0045 are initiatives of ISCIII, Spain. We also acknowledge the grants from Centro Nacional de Investigaciones Cardiovasculares CNIC 06/2007, Fondo de Investigación Sanitaria PI 07/0473, Ministerio de Ciencia e Innovación (AGL-2009-13906-C02, AGL2010-22319-C03), and Fundación Mapfre 2010, Government of the Basque Country (IT386-10),University of the Basque Country (UFI 11/32).
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JS, RE, MAM and MB contributed to the study design, study performance, data analysis and writing of the manuscript; MJ-F and RC performed biochemical measurements and contributed to the data analysis and the writing of the manuscript. MP and JM revised the manuscript critically for important intellectual content. All authors had a substantial input in critically appraising the manuscript and approved the final version to be published. All authors read and approved the final manuscript.
Literatur
1.
Zurück zum Zitat Iwamoto J, Sato Y, Takeda T, Matsumoto H: Bone quality and vitamin K2 in type 2 diabetes: review of preclinical and clinical studies. Nutr Rev. 2011, 69 (3): 162-167. 10.1111/j.1753-4887.2011.00380.x.CrossRefPubMed Iwamoto J, Sato Y, Takeda T, Matsumoto H: Bone quality and vitamin K2 in type 2 diabetes: review of preclinical and clinical studies. Nutr Rev. 2011, 69 (3): 162-167. 10.1111/j.1753-4887.2011.00380.x.CrossRefPubMed
2.
Zurück zum Zitat Shearer MJ: The roles of vitamins D and K in bone health and osteoporosis prevention. Proc Nutr Soc. 1997, 56 (3): 915-937. 10.1079/PNS19970099.CrossRefPubMed Shearer MJ: The roles of vitamins D and K in bone health and osteoporosis prevention. Proc Nutr Soc. 1997, 56 (3): 915-937. 10.1079/PNS19970099.CrossRefPubMed
3.
Zurück zum Zitat Booth SL: Roles for vitamin K beyond coagulation. Annu Rev Nutr. 2009, 29: 89-110. 10.1146/annurev-nutr-080508-141217.CrossRefPubMed Booth SL: Roles for vitamin K beyond coagulation. Annu Rev Nutr. 2009, 29: 89-110. 10.1146/annurev-nutr-080508-141217.CrossRefPubMed
4.
Zurück zum Zitat Yoshida M, Booth SL, Meigs JB, Saltzman E, Jacques PF: Phylloquinone intake, insulin sensitivity, and glycemic status in men and women. Am J Clin Nutr. 2008, 88 (1): 210-215.PubMedCentralPubMed Yoshida M, Booth SL, Meigs JB, Saltzman E, Jacques PF: Phylloquinone intake, insulin sensitivity, and glycemic status in men and women. Am J Clin Nutr. 2008, 88 (1): 210-215.PubMedCentralPubMed
5.
Zurück zum Zitat Kumar R, Binkley N, Vella A: Effect of phylloquinone supplementation on glucose homeostasis in humans. Am J Clin Nutr. 2010, 92 (6): 1528-1532. 10.3945/ajcn.2010.30108.PubMedCentralCrossRefPubMed Kumar R, Binkley N, Vella A: Effect of phylloquinone supplementation on glucose homeostasis in humans. Am J Clin Nutr. 2010, 92 (6): 1528-1532. 10.3945/ajcn.2010.30108.PubMedCentralCrossRefPubMed
6.
Zurück zum Zitat Beulens JW, van Der ADL, Grobbee DE, Sluijs I, Spijkerman AM, van der Schouw YT: Dietary phylloquinone and menaquinones intakes and risk of type 2 diabetes. Diabetes Care. 2010, 33 (8): 1699-1705. 10.2337/dc09-2302.PubMedCentralCrossRefPubMed Beulens JW, van Der ADL, Grobbee DE, Sluijs I, Spijkerman AM, van der Schouw YT: Dietary phylloquinone and menaquinones intakes and risk of type 2 diabetes. Diabetes Care. 2010, 33 (8): 1699-1705. 10.2337/dc09-2302.PubMedCentralCrossRefPubMed
7.
Zurück zum Zitat Ibarrola-Jurado N, Salas-Salvado J, Martinez-Gonzalez MA, Bullo M: Dietary phylloquinone intake and risk of type 2 diabetes in elderly subjects at high risk of cardiovascular disease. Am J Clin Nutr. 2012, 96 (5): 1113-1118. 10.3945/ajcn.111.033498.CrossRefPubMed Ibarrola-Jurado N, Salas-Salvado J, Martinez-Gonzalez MA, Bullo M: Dietary phylloquinone intake and risk of type 2 diabetes in elderly subjects at high risk of cardiovascular disease. Am J Clin Nutr. 2012, 96 (5): 1113-1118. 10.3945/ajcn.111.033498.CrossRefPubMed
8.
Zurück zum Zitat Ohsaki Y, Shirakawa H, Hiwatashi K, Furukawa Y, Mizutani T, Komai M: Vitamin K suppresses lipopolysaccharide-induced inflammation in the rat. Biosci Biotechnol Biochem. 2006, 70 (4): 926-932. 10.1271/bbb.70.926.CrossRefPubMed Ohsaki Y, Shirakawa H, Hiwatashi K, Furukawa Y, Mizutani T, Komai M: Vitamin K suppresses lipopolysaccharide-induced inflammation in the rat. Biosci Biotechnol Biochem. 2006, 70 (4): 926-932. 10.1271/bbb.70.926.CrossRefPubMed
9.
Zurück zum Zitat Shea MK, Booth SL, Massaro JM, Jacques PF, D’Agostino RBS, Dawson-Hughes B, Ordovas JM, O’Donnell CJ, Kathiresan S, Keaney JF, Vasan RS, Benjamin EJ: Vitamin K and vitamin D status: associations with inflammatory markers in the Framingham Offspring Study. Am J Epidemiol. 2008, 167 (3): 313-320.PubMedCentralCrossRefPubMed Shea MK, Booth SL, Massaro JM, Jacques PF, D’Agostino RBS, Dawson-Hughes B, Ordovas JM, O’Donnell CJ, Kathiresan S, Keaney JF, Vasan RS, Benjamin EJ: Vitamin K and vitamin D status: associations with inflammatory markers in the Framingham Offspring Study. Am J Epidemiol. 2008, 167 (3): 313-320.PubMedCentralCrossRefPubMed
10.
Zurück zum Zitat Shea MK, Dallal GE, Dawson-Hughes B, Ordovas JM, O’Donnell CJ, Gundberg CM, Peterson JW, Booth SL: Vitamin K, circulating cytokines, and bone mineral density in older men and women. Am J Clin Nutr. 2008, 88 (2): 356-363.PubMedCentralPubMed Shea MK, Dallal GE, Dawson-Hughes B, Ordovas JM, O’Donnell CJ, Gundberg CM, Peterson JW, Booth SL: Vitamin K, circulating cytokines, and bone mineral density in older men and women. Am J Clin Nutr. 2008, 88 (2): 356-363.PubMedCentralPubMed
11.
Zurück zum Zitat Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Ruiz-Gutierrez V, Covas MI, Fiol M, Gomez-Gracia E, Lopez-Sabater MC, Vinyoles E, Aros F, Conde M, Lahoz C, Lapetra J, Saez G, Ros E, PREDIMED Study Investigators: Effects of a Mediterranean-style diet on cardiovascular risk factors: a randomized trial. Ann Intern Med. 2006, 145 (1): 1-11.CrossRefPubMed Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Ruiz-Gutierrez V, Covas MI, Fiol M, Gomez-Gracia E, Lopez-Sabater MC, Vinyoles E, Aros F, Conde M, Lahoz C, Lapetra J, Saez G, Ros E, PREDIMED Study Investigators: Effects of a Mediterranean-style diet on cardiovascular risk factors: a randomized trial. Ann Intern Med. 2006, 145 (1): 1-11.CrossRefPubMed
12.
Zurück zum Zitat Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Ros E, Covas MI, Fiol M, Warnberg J, Aros F, Ruiz-Gutierrez V, Lamuela-Raventos RM, Lapetra J, Munoz MA, Martinez JA, Saez G, Serra-Majem L, Pinto X, Mitjavila MT, Tur JA, Portillo MD, Estruch R, for the PREDIMED Study Investigators: Cohort profile: design and methods of the PREDIMED study. Int J Epidemiol. 2012, 41 (2): 377-385. 10.1093/ije/dyq250.CrossRefPubMed Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Ros E, Covas MI, Fiol M, Warnberg J, Aros F, Ruiz-Gutierrez V, Lamuela-Raventos RM, Lapetra J, Munoz MA, Martinez JA, Saez G, Serra-Majem L, Pinto X, Mitjavila MT, Tur JA, Portillo MD, Estruch R, for the PREDIMED Study Investigators: Cohort profile: design and methods of the PREDIMED study. Int J Epidemiol. 2012, 41 (2): 377-385. 10.1093/ije/dyq250.CrossRefPubMed
13.
Zurück zum Zitat Fernandez-Ballart JD, Pinol JL, Zazpe I, Corella D, Carrasco P, Toledo E, Perez-Bauer M, Martinez-Gonzalez MA, Salas-Salvado J, Martin-Moreno JM: Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain. Br J Nutr. 2010, 103 (12): 1808-1816. 10.1017/S0007114509993837.CrossRefPubMed Fernandez-Ballart JD, Pinol JL, Zazpe I, Corella D, Carrasco P, Toledo E, Perez-Bauer M, Martinez-Gonzalez MA, Salas-Salvado J, Martin-Moreno JM: Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain. Br J Nutr. 2010, 103 (12): 1808-1816. 10.1017/S0007114509993837.CrossRefPubMed
14.
Zurück zum Zitat Schroder H, Fito M, Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Lamuela-Raventos R, Ros E, Salaverria I, Fiol M, Lapetra J, Vinyoles E, Gomez-Gracia E, Lahoz C, Serra-Majem L, Pinto X, Ruiz-Gutierrez V, Covas MI: A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr. 2011, 141 (6): 1140-1145. 10.3945/jn.110.135566.CrossRefPubMed Schroder H, Fito M, Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Lamuela-Raventos R, Ros E, Salaverria I, Fiol M, Lapetra J, Vinyoles E, Gomez-Gracia E, Lahoz C, Serra-Majem L, Pinto X, Ruiz-Gutierrez V, Covas MI: A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr. 2011, 141 (6): 1140-1145. 10.3945/jn.110.135566.CrossRefPubMed
15.
Zurück zum Zitat Moreiras O, Carbajal A, Cabrera L, Cuadrado C: Tablas de composición de los alimentos. (Food Composition Tables). 2005, Madrid: Pirámide, 9th Moreiras O, Carbajal A, Cabrera L, Cuadrado C: Tablas de composición de los alimentos. (Food Composition Tables). 2005, Madrid: Pirámide, 9th
16.
Zurück zum Zitat Mataix Verdú J: Tabla de composicion de alimentos [Food Composition Tables]. 2003, Granada (Spain): Universidad de Granada, 4th Mataix Verdú J: Tabla de composicion de alimentos [Food Composition Tables]. 2003, Granada (Spain): Universidad de Granada, 4th
17.
Zurück zum Zitat Pan Y, Jackson RT: Dietary phylloquinone intakes and metabolic syndrome in US young adults. J Am Coll Nutr. 2009, 28 (4): 369-379.CrossRefPubMed Pan Y, Jackson RT: Dietary phylloquinone intakes and metabolic syndrome in US young adults. J Am Coll Nutr. 2009, 28 (4): 369-379.CrossRefPubMed
18.
Zurück zum Zitat Bullo M, Moreno-Navarrete JM, Fernandez-Real JM, Salas-Salvado J: Total and undercarboxylated osteocalcin predict changes in insulin sensitivity and beta cell function in elderly men at high cardiovascular risk. Am J Clin Nutr. 2012, 95 (1): 249-255. 10.3945/ajcn.111.016642.CrossRefPubMed Bullo M, Moreno-Navarrete JM, Fernandez-Real JM, Salas-Salvado J: Total and undercarboxylated osteocalcin predict changes in insulin sensitivity and beta cell function in elderly men at high cardiovascular risk. Am J Clin Nutr. 2012, 95 (1): 249-255. 10.3945/ajcn.111.016642.CrossRefPubMed
19.
Zurück zum Zitat Fernandez-Fernandez L, Bellido-Martin L, Garcia de Frutos P: Growth arrest-specific gene 6 (GAS6). An outline of its role in haemostasis and inflammation. Thromb Haemost. 2008, 100 (4): 604-610.PubMed Fernandez-Fernandez L, Bellido-Martin L, Garcia de Frutos P: Growth arrest-specific gene 6 (GAS6). An outline of its role in haemostasis and inflammation. Thromb Haemost. 2008, 100 (4): 604-610.PubMed
20.
Zurück zum Zitat Ozaki I, Zhang H, Mizuta T, Ide Y, Eguchi Y, Yasutake T, Sakamaki T, Pestell RG, Yamamoto K: Menatetrenone, a vitamin K2 analogue, inhibits hepatocellular carcinoma cell growth by suppressing cyclin D1 expression through inhibition of nuclear factor kappaB activation. Clin Cancer Res. 2007, 13 (7): 2236-2245. 10.1158/1078-0432.CCR-06-2308.CrossRefPubMed Ozaki I, Zhang H, Mizuta T, Ide Y, Eguchi Y, Yasutake T, Sakamaki T, Pestell RG, Yamamoto K: Menatetrenone, a vitamin K2 analogue, inhibits hepatocellular carcinoma cell growth by suppressing cyclin D1 expression through inhibition of nuclear factor kappaB activation. Clin Cancer Res. 2007, 13 (7): 2236-2245. 10.1158/1078-0432.CCR-06-2308.CrossRefPubMed
21.
Zurück zum Zitat Tanaka S, Nishiumi S, Nishida M, Mizushina Y, Kobayashi K, Masuda A, Fujita T, Morita Y, Mizuno S, Kutsumi H, Azuma T, Yoshida M: Vitamin K3 attenuates lipopolysaccharide-induced acute lung injury through inhibition of nuclear factor-kappaB activation. Clin Exp Immunol. 2010, 160 (2): 283-292.PubMedCentralCrossRefPubMed Tanaka S, Nishiumi S, Nishida M, Mizushina Y, Kobayashi K, Masuda A, Fujita T, Morita Y, Mizuno S, Kutsumi H, Azuma T, Yoshida M: Vitamin K3 attenuates lipopolysaccharide-induced acute lung injury through inhibition of nuclear factor-kappaB activation. Clin Exp Immunol. 2010, 160 (2): 283-292.PubMedCentralCrossRefPubMed
22.
Zurück zum Zitat Ohsaki Y, Shirakawa H, Miura A, Giriwono PE, Sato S, Ohashi A, Iribe M, Goto T, Komai M: Vitamin K suppresses the lipopolysaccharide-induced expression of inflammatory cytokines in cultured macrophage-like cells via the inhibition of the activation of nuclear factor kappaB through the repression of IKKalpha/beta phosphorylation. J Nutr Biochem. 2010, 21 (11): 1120-1126. 10.1016/j.jnutbio.2009.09.011.CrossRefPubMed Ohsaki Y, Shirakawa H, Miura A, Giriwono PE, Sato S, Ohashi A, Iribe M, Goto T, Komai M: Vitamin K suppresses the lipopolysaccharide-induced expression of inflammatory cytokines in cultured macrophage-like cells via the inhibition of the activation of nuclear factor kappaB through the repression of IKKalpha/beta phosphorylation. J Nutr Biochem. 2010, 21 (11): 1120-1126. 10.1016/j.jnutbio.2009.09.011.CrossRefPubMed
23.
Zurück zum Zitat Li J, Lin JC, Wang H, Peterson JW, Furie BC, Furie B, Booth SL, Volpe JJ, Rosenberg PA: Novel role of vitamin k in preventing oxidative injury to developing oligodendrocytes and neurons. J Neurosci. 2003, 23 (13): 5816-5826.PubMed Li J, Lin JC, Wang H, Peterson JW, Furie BC, Furie B, Booth SL, Volpe JJ, Rosenberg PA: Novel role of vitamin k in preventing oxidative injury to developing oligodendrocytes and neurons. J Neurosci. 2003, 23 (13): 5816-5826.PubMed
24.
Zurück zum Zitat Reddi K, Henderson B, Meghji S, Wilson M, Poole S, Hopper C, Harris M, Hodges SJ: Interleukin 6 production by lipopolysaccharide-stimulated human fibroblasts is potently inhibited by naphthoquinone (vitamin K) compounds. Cytokine. 1995, 7 (3): 287-290. 10.1006/cyto.1995.0034.CrossRefPubMed Reddi K, Henderson B, Meghji S, Wilson M, Poole S, Hopper C, Harris M, Hodges SJ: Interleukin 6 production by lipopolysaccharide-stimulated human fibroblasts is potently inhibited by naphthoquinone (vitamin K) compounds. Cytokine. 1995, 7 (3): 287-290. 10.1006/cyto.1995.0034.CrossRefPubMed
26.
Zurück zum Zitat Goldberg RB: Cytokine and cytokine-like inflammation markers, endothelial dysfunction, and imbalanced coagulation in development of diabetes and its complications. J Clin Endocrinol Metab. 2009, 94 (9): 3171-3182. 10.1210/jc.2008-2534.CrossRefPubMed Goldberg RB: Cytokine and cytokine-like inflammation markers, endothelial dysfunction, and imbalanced coagulation in development of diabetes and its complications. J Clin Endocrinol Metab. 2009, 94 (9): 3171-3182. 10.1210/jc.2008-2534.CrossRefPubMed
27.
Zurück zum Zitat Kim SR, Bae YH, Bae SK, Choi KS, Yoon KH, Koo TH, Jang HO, Yun I, Kim KW, Kwon YG, Yoo MA, Bae MK: Visfatin enhances ICAM-1 and VCAM-1 expression through ROS-dependent NF-kappaB activation in endothelial cells. Biochim Biophys Acta. 2008, 1783 (5): 886-895. 10.1016/j.bbamcr.2008.01.004.CrossRefPubMed Kim SR, Bae YH, Bae SK, Choi KS, Yoon KH, Koo TH, Jang HO, Yun I, Kim KW, Kwon YG, Yoo MA, Bae MK: Visfatin enhances ICAM-1 and VCAM-1 expression through ROS-dependent NF-kappaB activation in endothelial cells. Biochim Biophys Acta. 2008, 1783 (5): 886-895. 10.1016/j.bbamcr.2008.01.004.CrossRefPubMed
28.
Zurück zum Zitat Lee WJ, Wu CS, Lin H, Lee IT, Wu CM, Tseng JJ, Chou MM, Sheu WH: Visfatin-induced expression of inflammatory mediators in human endothelial cells through the NF-kappaB pathway. Int J Obes (Lond). 2009, 33 (4): 465-472. 10.1038/ijo.2009.24.CrossRef Lee WJ, Wu CS, Lin H, Lee IT, Wu CM, Tseng JJ, Chou MM, Sheu WH: Visfatin-induced expression of inflammatory mediators in human endothelial cells through the NF-kappaB pathway. Int J Obes (Lond). 2009, 33 (4): 465-472. 10.1038/ijo.2009.24.CrossRef
29.
Zurück zum Zitat Tong J, Prigeon RL, Davis HW, Bidlingmaier M, Kahn SE, Cummings DE, Tschop MH, D’Alessio D: Ghrelin suppresses glucose-stimulated insulin secretion and deteriorates glucose tolerance in healthy humans. Diabetes. 2010, 59 (9): 2145-2151. 10.2337/db10-0504.PubMedCentralCrossRefPubMed Tong J, Prigeon RL, Davis HW, Bidlingmaier M, Kahn SE, Cummings DE, Tschop MH, D’Alessio D: Ghrelin suppresses glucose-stimulated insulin secretion and deteriorates glucose tolerance in healthy humans. Diabetes. 2010, 59 (9): 2145-2151. 10.2337/db10-0504.PubMedCentralCrossRefPubMed
30.
Zurück zum Zitat Schofl C, Horn R, Schill T, Schlosser HW, Muller MJ, Brabant G: Circulating ghrelin levels in patients with polycystic ovary syndrome. J Clin Endocrinol Metab. 2002, 87 (10): 4607-4610. 10.1210/jc.2002-020505.CrossRefPubMed Schofl C, Horn R, Schill T, Schlosser HW, Muller MJ, Brabant G: Circulating ghrelin levels in patients with polycystic ovary syndrome. J Clin Endocrinol Metab. 2002, 87 (10): 4607-4610. 10.1210/jc.2002-020505.CrossRefPubMed
31.
Zurück zum Zitat Poykko SM, Kellokoski E, Horkko S, Kauma H, Kesaniemi YA, Ukkola O: Low plasma ghrelin is associated with insulin resistance, hypertension, and the prevalence of type 2 diabetes. Diabetes. 2003, 52 (10): 2546-2553. 10.2337/diabetes.52.10.2546.CrossRefPubMed Poykko SM, Kellokoski E, Horkko S, Kauma H, Kesaniemi YA, Ukkola O: Low plasma ghrelin is associated with insulin resistance, hypertension, and the prevalence of type 2 diabetes. Diabetes. 2003, 52 (10): 2546-2553. 10.2337/diabetes.52.10.2546.CrossRefPubMed
32.
Zurück zum Zitat McLaughlin T, Abbasi F, Lamendola C, Frayo RS, Cummings DE: Plasma ghrelin concentrations are decreased in insulin-resistant obese adults relative to equally obese insulin-sensitive controls. J Clin Endocrinol Metab. 2004, 89 (4): 1630-1635. 10.1210/jc.2003-031572.CrossRefPubMed McLaughlin T, Abbasi F, Lamendola C, Frayo RS, Cummings DE: Plasma ghrelin concentrations are decreased in insulin-resistant obese adults relative to equally obese insulin-sensitive controls. J Clin Endocrinol Metab. 2004, 89 (4): 1630-1635. 10.1210/jc.2003-031572.CrossRefPubMed
33.
Zurück zum Zitat Ostergard T, Hansen TK, Nyholm B, Gravholt CH, Djurhuus CB, Hosoda H, Kangawa K, Schmitz O: Circulating ghrelin concentrations are reduced in healthy offspring of Type 2 diabetic subjects, and are increased in women independent of a family history of Type 2 diabetes. Diabetologia. 2003, 46 (1): 134-136.PubMed Ostergard T, Hansen TK, Nyholm B, Gravholt CH, Djurhuus CB, Hosoda H, Kangawa K, Schmitz O: Circulating ghrelin concentrations are reduced in healthy offspring of Type 2 diabetic subjects, and are increased in women independent of a family history of Type 2 diabetes. Diabetologia. 2003, 46 (1): 134-136.PubMed
34.
Zurück zum Zitat Ellingsgaard H, Hauselmann I, Schuler B, Habib AM, Baggio LL, Meier DT, Eppler E, Bouzakri K, Wueest S, Muller YD, Hansen AM, Reinecke M, Konrad D, Gassmann M, Reimann F, Halban PA, Gromada J, Drucker DJ, Gribble FM, Ehses JA, Donath MY: Interleukin-6 enhances insulin secretion by increasing glucagon-like peptide-1 secretion from L cells and alpha cells. Nat Med. 2011, 17 (11): 1481-1489. 10.1038/nm.2513.PubMedCentralCrossRefPubMed Ellingsgaard H, Hauselmann I, Schuler B, Habib AM, Baggio LL, Meier DT, Eppler E, Bouzakri K, Wueest S, Muller YD, Hansen AM, Reinecke M, Konrad D, Gassmann M, Reimann F, Halban PA, Gromada J, Drucker DJ, Gribble FM, Ehses JA, Donath MY: Interleukin-6 enhances insulin secretion by increasing glucagon-like peptide-1 secretion from L cells and alpha cells. Nat Med. 2011, 17 (11): 1481-1489. 10.1038/nm.2513.PubMedCentralCrossRefPubMed
35.
Zurück zum Zitat Nie Y, Ma RC, Chan JC, Xu H, Xu G: Glucose-dependent insulinotropic peptide impairs insulin signaling via inducing adipocyte inflammation in glucose-dependent insulinotropic peptide receptor-overexpressing adipocytes. FASEB J. 2012, 26 (6): 2383-2393. 10.1096/fj.11-196782.CrossRefPubMed Nie Y, Ma RC, Chan JC, Xu H, Xu G: Glucose-dependent insulinotropic peptide impairs insulin signaling via inducing adipocyte inflammation in glucose-dependent insulinotropic peptide receptor-overexpressing adipocytes. FASEB J. 2012, 26 (6): 2383-2393. 10.1096/fj.11-196782.CrossRefPubMed
36.
Zurück zum Zitat Omar B, Banke E, Guiguis E, Kesson L, Manganiello V, Lyssenko V, Groop L, Gomez MF, Degerman E: Regulation of the pro-inflammatory cytokine osteopontin by GIP in adipocytes - A role for the transcription factor NFAT and phosphodiesterase 3B. Biochem Biophys Res Commun. 2012, 425 (4): 812-819. 10.1016/j.bbrc.2012.07.157.PubMedCentralCrossRefPubMed Omar B, Banke E, Guiguis E, Kesson L, Manganiello V, Lyssenko V, Groop L, Gomez MF, Degerman E: Regulation of the pro-inflammatory cytokine osteopontin by GIP in adipocytes - A role for the transcription factor NFAT and phosphodiesterase 3B. Biochem Biophys Res Commun. 2012, 425 (4): 812-819. 10.1016/j.bbrc.2012.07.157.PubMedCentralCrossRefPubMed
Metadaten
Titel
Association between dietary phylloquinone intake and peripheral metabolic risk markers related to insulin resistance and diabetes in elderly subjects at high cardiovascular risk
verfasst von
Martí Juanola-Falgarona
Jordi Salas-Salvadó
Ramon Estruch
Maria P Portillo
Rosa Casas
Jonatan Miranda
Miguel A Martínez-González
Mònica Bulló
Publikationsdatum
01.12.2013
Verlag
BioMed Central
Erschienen in
Cardiovascular Diabetology / Ausgabe 1/2013
Elektronische ISSN: 1475-2840
DOI
https://doi.org/10.1186/1475-2840-12-7

Weitere Artikel der Ausgabe 1/2013

Cardiovascular Diabetology 1/2013 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.