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Erschienen in: BMC Cardiovascular Disorders 1/2020

Open Access 01.12.2020 | Research article

Features of serum fatty acids in acute ischaemic stroke patients aged 50 years or older

verfasst von: Takahisa Mori, Kazuhiro Yoshioka

Erschienen in: BMC Cardiovascular Disorders | Ausgabe 1/2020

Abstract

Background

Serum fatty acid (s-FA) compositions and their correlation with serum lipids (s-LPs) such as total cholesterol (T-CHO) and triglycerides (TG) have been reported in healthy young subjects. However, little is known about such features in acute ischaemic stroke (AIS). The aim of our study was to investigate s-FA characteristics and their correlation with AIS in elderly patients.

Methods

We conducted a cross-sectional study of patients aged 50 years or older who were admitted between September 2015 and March 2017 within 24 h of the first AIS onset. We evaluated concentrations and compositions of s-FAs and their association with s-LPs, age, and ischaemic stroke subtypes, including large-artery atherosclerosis (LAA), small-vessel occlusion (SVO), and cardioembolism (CE) or others.

Results

One hundred ninety-one patients met our inclusion criteria. Their average age was 74.4 years, mean T-CHO and median TG were 203.4 and 94.5 mg/dl, respectively, and median or mean concentrations of palmitic acid (PA), oleic acid (OlA), linoleic acid (LiA), and docosahexaenoic acid (DHA) were 680.7, 602.5, 795.2, and 136.9 μg/ml, respectively, with mean compositions of 23.7, 21.3, 27.1, and 4.4%, respectively. PA, OlA, and LiA concentrations were weakly negatively associated with age and positively correlated with TG. In LAA or SVO (LAA_SVO) and CE or others (CE_O), mean age was 71.9 and 77.4 years (p < 0.001), mean T-CHO was 213.9 and 191.2 mg/dl (p < 0.0001), median TG was 106.5 and 88.5 mg/dl (p < 0.01), median PA was 717.2 and 648.4 μg/ml (p < 0.01), median OlA was 638.2 and 567.5 μg/ml (p < 0.01), and median LiA was 844.7 and 728.5 μg/ml (p < 0.01), respectively. DHA composition was weakly positively correlated with age. There were no differences in PA, OlA, LiA, and DHA compositions between LAA_SVO and CE_O.

Conclusions

In AIS elderly patients, concentrations, rather than compositions of PA, OlA, and LiA, correlated with age, TG, and ischaemic stroke subtypes. Patients with LAA_SVO were younger and had higher concentrations of PA, OlA, and LiA than those with CE_O. There were no differences in such compositions between LAA_SVO and CE_O.
Hinweise

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Abkürzungen
AA
Arachidonic acid
AIA
Alpha-linolenic acid
BMI
Body mass index
CAD
Coronary artery disease
CE
Cardioembolic stroke
DBP
Diastolic blood pressure
DGLA
Di-homo-gamma-linolenic acid
DHA
Docosahexaenoic acid
EPA
Eicosapentaenoic acid
FA
Fatty acid
HDL-C
High-density lipoprotein cholesterol
LAA
Large-artery atherosclerosis
LaA
Lauric acid
LDL-C
Low-density lipoprotein cholesterol
LiA
Linoleic acid
MBP
Mean blood pressure
mRS
Modified Rankin scale
MyA
Myristic acid
n-3 PUFA
N-3 polyunsaturated fatty acid
n-6 PUFA
N-6 polyunsaturated fatty acid
n-9 MUFA
N-9 monounsaturated fatty acid
OlA
Oleic acid
PA
Palmitic acid
SBP
Systolic blood pressure
SFA
Saturated fatty acid
s-FA
Serum fatty acid
s-LP
Serum lipids
StA
Stearic acids
SVO
Small-vessel occlusion (lacunar stroke)
T-CHO
Total cholesterol
TG
Triglycerides
TIA
Transient ischaemic attack
VLDL
Very-low-density-lipoprotein

Background

Previous studies have reported compositions of serum fatty acids (s-FAs) such as saturated fatty acids (SFAs), n-6 polyunsaturated fatty acids (n-6 PUFAs), n-9 monounsaturated fatty acid (n-9 MUFA), and n-3 polyunsaturated fatty acids (n-3 PUFAs), and their correlation with serum lipids (s-LPs) in healthy young or middle-aged human subjects [15]. The proportion of n-6 PUFAs, as a fraction of total fatty acids, decreases with increasing age. Compositions of eicosapentaenoic acid (EPA) or docosahexaenoic acid (DHA) were found to be positively correlated with serum total cholesterol (T-CHO), compositions of stearic acid (StA) or oleic acid (OlA) were positively correlated with serum triglycerides (TGs), and compositions of linoleic acid (LiA) or arachidonic acid (AA) were negatively correlated with TGs [1].
Further, a comparison of lipid fatty acids based on concentration basis vs composition (weight %) was reported for patients with and without coronary artery disease (CAD), concluding that serum concentrations of lipid fatty acids are more accurate reflections of changes in lipid fatty acids rather than compositions [6]. Concentrations of palmitic acid (PA), StA, OlA, LiA, and AA were found to be higher, and concentrations of EPA were lower in subjects with CAD than in subjects without CAD, whereas compositions of PA and StA were higher and those of EPA and DHA were lower in subjects with CAD [6]. A previous study also reported that people with higher serum levels of saturated fatty acids, n-9 MUFA, and n-6 PUFAs more frequently experienced lacunar or atherosclerotic stroke during middle age (50 to 74 years old) [7]. Serum FA concentrations and compositions might thus be associated with acute ischaemic stroke (AIS). However, limited information is available regarding such parameters and their association with AIS in elderly patients. The aim of our retrospective study was to investigate s-FA concentrations, s-FA compositions, and their correlation with age, serum lipids, and ischaemic stroke subtypes in AIS elderly patients.

Methods

We conducted a cross-sectional study of acute ischaemic stroke patients aged 50 years or older who 1) were admitted to our institution between September 2015 and March 2017 within 24 h of first stroke onset and then 2) underwent blood evaluations of s-LPs and s-FAs at arrival. We excluded patients who used statins, supplemental n-3 PUFA, fibrates, or ezetimibe at the onset. Additionally, we excluded those with a pre-hospital modified Rankin scale (mRS) score of 3 or more or a body mass index (BMI) less than 18.5, which was defined as severe disability or underweight according to the World Health Organisation (WHO) guidelines, as we determined that possible malnutrition was not appropriate for our investigation.

Measurements

Serum T-CHO, TG, and HDL-cholesterol (HDL-C) were measured through enzymatic analysis using reagents manufactured by Denka Seiken. A BioMajesty 6050 (JEOL Ltd., Tokyo, Japan) was used for measurements. For this purpose, 1.0 ml of serum was used to analyse fatty acids. Serum fatty acids were analysed at the Safety studies section at BML, Inc. (Tokyo, Japan). Fatty acids were extracted according to the general technique of Bligh and Dyer using tricosanoic acid (Nu-Chek Prep, Inc., MN, USA) as an internal standard. The lipid extracts were hydrolysed and extracted with chloroform and evaporated to dryness under nitrogen. After a 30% potassium methoxide methanol solution (FUJIFILM Wako Pure Chemical Corporation, Osaka, Japan) was added to the residual sample, it was incubated at 100 °C for 5 min and cooled. Boron trifluoride methanol reagent was added and incubated at 100 °C for 10 min for methyl esters. The samples were extracted with hexane before analysis. These samples were analysed with a capillary GC: column (BPX70, 30 m × 0.22 mm ID, 0.25 μm film thickness; SHIMADZU GLC Ltd., Tokyo, Japan). The gas chromatograph was a GC-2010Plus (SHIMADSU Corporation, Kyoto, Japan) equipped with a flame ionisation detector. Operating conditions were as follows: the oven temperature was 50 °C for 0.5 min, and then was raised to 260 °C over 25 min and held for 5 min. Injector temperature was 240 °C, the detector temperature was 280 °C, and helium as the carrier gas was delivered at 1.09 ml/min. The identification of components was based on a comparison of retention times with those of standards (Sigma-Aldrich Japan, Inc., Tokyo, Japan; Nu-Chek Prep, Inc., MN, USA). The concentration of each sample was calculated from the internal standard ratio of the standard.

Variables

The following fatty acids were examined: SFAs [lauric acid (LaA; C12:0), myristic acid (MyA; C14:0), palmitic acid (PA; C16:0), stearic acid (StA; C18:0)], an n-9 MUFA [oleic acid (OlA; C18:1)], n-6 PUFAs [linoleic acid (LiA; C18:2), di-homo-gamma-linolenic acid (DGLA; C20:3), and arachidonic acid (AA; C20:4)] and n-3 PUFAs [alpha-linolenic acid (AlA; C18:3), eicosapentaenoic acid (EPA; C20:5), and docosahexaenoic acid (DHA; C22:6)]. Low-density lipoprotein (LDL)-cholesterol (LDL-C) was calculated using the Friedewald formula as follows: LDL-C = T-CHO − HDL-C − TG/5. Mean blood pressure (MBP) was calculated using the following formula: DBP + (SBP − DBP) / 3.

Evaluation

We evaluated concentrations of s-LPs, concentrations of s-FAs and compositions created against total fatty acids of s-FAs (in weight percent; %), and correlation coefficients of s-FA concentrations and compositions with age and s-LPs. We divided age into three groups, specifically 50–64 years as working-age after menopause in females, 65–79 years as probable life expectancy after retirement, and 80 years or older as the oldest age. We also compared concentrations and compositions (%) of s-FAs between age groups and between AIS subtypes of large-artery atherosclerosis (LAA), small-vessel occlusion (SVO; lacunar stroke), cardioembolic (CE) stroke, TIA, and patients for whom AIS subtype was not determined [8].

Statistical analysis

Normally distributed continuous variables are expressed as means ± standard deviations (SDs) and an unpaired Student’s t-test or analysis of variance (ANOVA) was used to compare unpaired groups. Non-normally distributed continuous variables were expressed as medians and interquartile ranges (IQRs), and a Wilcoxon rank-sum test was used to compare unpaired groups. A multiple comparison test was used to compare all possible pairs among three groups. The Pearson correlation coefficient (r) was used to measure the strength of the linear relationship between normally distributed variables, and the Spearman rank correlation coefficient (rs) was used to measure the strength of the relationship between non-normally distributed variables. We defined 0 ≤ |r| < 0.3 or 0 ≤ |rs| < 0.3 as no correlation, 0.3 ≤ |r| < 0.5 or 0.3 ≤ |rs| < 0.5 as a weak correlation, 0.5 ≤ |r| < 0.7 or 0.5 ≤ |rs| < 0.7 as a moderate correlation, and 0.7 ≤ |r| < 0.9 or 0.7 ≤ |rs| < 0.9 as a strong correlation. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CIs) for ischaemic stroke in LAA or SVO groups. A probability (p) value less than 0.05 was considered statistically significant. We used the JMP software program (version 15.0; SAS Institute, Cary, NC, USA) to perform statistical analyses.

Results

A total of 463 patients with ischaemic stroke were admitted to our stroke centre during the study period. Among them, 129 patients were excluded from our analysis because of a pre-hospital mRS scores of 3 or more, 37 were excluded with a BMI less than 18.5, 57 were excluded because they did not undergo s-FA analysis at admission, and 49 were excluded for using medication for dyslipidaemia. Finally, 191 patients met our inclusion criteria (Table 1). All patients were of East Asian ethnicity and were most likely of Japanese ancestry. Regarding stroke subtype, 52 (27.2%) patients experienced LAA, 50 patients experienced SVO (lacunar stroke), 50 patients (26.2%) experienced CE stroke, five patients (2.6%) experienced TIA, and for 34 (17.8%) patients, the subtype was not determined. BMI was lower in females, concentrations of T-CHO, LDL-C, and HDL-C were higher in females, and levels of DGLA, AA, and DHA were also higher in females (Table 2).
Table 1
All patients’ characteristics
 
n = 191
Age (m ± SD) years
74.4 ± 10.4 (min: 50, max: 104)
Male gender
121 (63.3%)
Height (m ± SD) cm
160.8 ± 9.4
Body Weight (MD, IQR) kg
60.0, 52.5–69.0
BMI (MD, IQR) kg/m2
23.1, 20.7–25.1
MBP (MD, IQR) mmHg
115, 101–128
Ischemic Stroke
Large-artery Atherosclelosis and Small-vessel Occlusion
n = 102
  Large-artery Atherosclelosis (LAA)
n = 52
  Small-vessel Occlusion (SVO)
n = 50
Cardioembolism and Others
n = 89
  Cardioembolism
n = 50
  TIA
n = 5
  not determined
n = 34
Glucose and Lipids
 BS (MD, IQR) mg/dl
120, 106–149
 HbA1c (MD, IQR) %
5.8, 5.6–6.3
 T-CHO (m ± SD) mg/dl
203.4 ± 40.2
 LDL-C (m ± SD) mg/dl
121.2 ± 33.5
 HDL-C (MD, IQR) mg/dl
56.1, 45.2–69.6
 TG (MD, IQR) mg/dl
94.5, 68.8–134.5
Saturated Fatty Acids
 lauric acid (LaA) (C12:0) (MD, IQR) μg/ml
1.2, 0.7–2.3
 myristic acid (MyA) (C14:0) (MD, IQR) μg/ml
18.7, 13.7–27.2
 palmitic acid (PA) (C16:0) (MD, IQR) μg/ml
680.7, 593.6–783.1
 stearic acid StA (C18:0) (MD, IQR) μg/ml
203.3, 175.4–233.3
 LaA (C12:0) (MD, IQR) %
0.04, 0.03–0.07
 MyA (C14:0) (MD, IQR) %
0.64, 0.51–0.88
 PA (C16:0) (m ± SD) %
23.7 ± 1.5
 StA (C18:0) (m ± SD) %
7.0 ± 0.8
n-9 Monounsaturated Fatty Acid
 oleic acid (OlA) (C18:1) (MD, IQR) μg/ml
602.5, 515.8–717.4
 OlA (C18:1) (m ± SD) %
21.3 ± 2.5
n-6 Polyunsaturated Fatty Acids
 linoleic acid (LiA) (C18:2) (MD, IQR) μg/ml
795.2, 658.2–928.3
 dihomogammalinolenic acid (DGLA) (C20:3) (MD, IQR) μg/ml
28.1, 21.6–36.4
 arachidonic acid (AA) (C20:4) (MD, IQR) μg/ml
146.1, 122.1–169.9
 LiA (C18:2) (m ± SD) %
27.1 ± 3.4
 DGLA (C20:3) (m ± SD) %
0.99 ± 0.27
 AA (C20:4) (m ± SD) %
5.1 ± 1.1
n-3 Polyunsaturated Fatty Acids
 Alpha-linolenic acid (AlA) (C18:3) (MD, IQR) μg/ml
21.3, 15.9–29.3
 eicosapentaenoic acid (EPA) (C20:5) (MD, IQR) μg/ml
62.2, 45.7–92.5
 docosahexaenoic acid (DHA) (C22:6) (m ± SD) μg/ml
136.9 ± 43.2
 AlA (C18:3) (MD, IQR) %
0.72, 0.6–0.96
 EPA (C20:5) (MD, IQR) %
2.2, 1.5–3.23
 DHA (C22:6) (m ± SD) %
4.7 ± 1.4
 EPA / AA ratio (MD, IQR)
0.45, 0.32–0.6
 n-6 / n-3 ratio (MD, IQR)
4.25, 3.38–5.2
BMI Body mass index, BS Blood sugar, T-CHO Total cholesterol, TG Triglyceride
LDL-C Low density lipoprotein cholesterol, HDL-C High density lipoprotein cholesterol
m Mean, SD Standard deviation, MD Median, IQR Interquartile range
min Minimum, max Maximum, MBP Mean blood pressure
%: weight percent of fatty acids
n-6: n-6 polyunsaturated fatty acids
n-3: n-3 polyunsaturated fatty acids
Table 2
Comparison between gender and ischemic stroke subtypes
 
Male
Female
p
LAA_SVO
CE_O
p
n = 121
n = 70
n = 102
n = 89
Age (m ± SD) years
74.4 ± 10.4
74.4 ± 10.7
ns
71.86 ± 10.46
77.37 ± 9.68
0.0002
BMI (MD, IQR) kg/m2
23.7, 21.6–25.2
22.3, 20.1–24.8
< 0.05
22.9, 20.7–24.8
23.5, 20.9–25.2
ns
Gender
 Male
   
62
59
ns
 Female
   
40
30
 
Lipids
 T-CHO (m ± SD) mg/dl
194.6 ± 39.4
218.4 ± 37.3
< 0.0001
213.9 ± 41.7
191.2 ± 34.8
< 0.0001
 LDL-C (m ± SD) mg/dl
113.5 ± 32.3
135.6 ± 31.1
< 0.0001
128.4 ± 34.8
113.9 ± 30.4
0.0028
 HDL-C (MD, IQR) mg/dl
53.5, 42.9–63.6
61.8, 50.9–73.9
0.0023
58.5, 46.4–70.6
55.2, 43.7–67.9
ns
 TG (MD, IQR) mg/dl
101, 68–163
87, 70.5–116.3
ns
106.5, 73–166.8
85.5, 64–115.8
0.0054
Saturated Fatty Acids
 LaA (C12:0) (MD, IQR) μg/ml
1,2, 0.7–2.7
1,2, 0.8–2.0
ns
1.3, 0.7–2.6
1.1, 0.7–1.95
ns
 MyA (C14:0) (MD, IQR) μg/ml
17.6, 13.3–29.7
19.2, 14.7–25.3
ns
19.75, 14.48–31.9
17.5, 13.1–23.6
ns
 PA (C16:0) (MD, IQR) μg/ml
678.6, 592.8–829.4
702.1, 595.4–756.9
ns
717.15, 605.0–833.1
648.4, 577.2–724.3
0.0023
 StA (C18:0) (MD, IQR) μg/ml
195.9, 167.4–229.6
211.1, 187.9–236.9
ns
210.4, 183.4–240.4
193.5, 164.7–221.4
0.003
 LaA (C12:0) (MD, IQR) %
0.04, 0.03–0.08
0.04, 0.03–0.07
ns
0.04, 0.03–0.08
0.04, 0.025–0.07
ns
 MyA (C14:0) (MD, IQR) %
0.64, 0.495–0.935
0.64, 0.568–0.768
ns
0.65, 0.51–0.933
0.64, 0.51–0.84
ns
 PA (C16:0) (m ± SD) %
24.05 ± 1.44
23.13 ± 1.39
< 0.0001
23.7 ± 1.6
23.7 ± 1.3
ns
 StA (C18:0) (m ± SD) %
6.89 ± 0.77
7.11 ± 0.75
ns
6.95 ± 0.79
6.99 ± 0.08
ns
n-9 Monounsaturated Fatty Acid
 OlA(C18:1) (MD, IQR) μg/ml
615.4, 513.6–734.6
583.0, 514.8–712.9
ns
638.2, 527.8–754.5
567.5, 499.4–649.3
0.0086
 OlA (C18:1) (m ± SD) %
21.63 ± 2.52
20.59 ± 2.30
0.005
21.29 ± 2.46
21.21 ± 2.54
ns
n-6 Polyunsaturated Fatty Acids
 LiA (C18:2) (MD, IQR) μg/ml
782.3, 643.7–919
822.4, 681.0–940.4
ns
844.65, 698.7–977.48
728.5, 636.45–883.7
0.003
 DGLA (C20:3) (MD, IQR) μg/ml
26.9, 21.0–34.8
31.5, 23.6–38.2
0.018
32, 24.3–38.33
24.4, 18.9–31.15
< 0.0001
 AA (C20:4) (MD, IQR) μg/ml
142.2, 114.9–162.3
156.3, 136.1–175.1
0.0034
155.7, 132.53–182.18
136.3, 114.05–158.15
< 0.0001
 LiA (C18:2) (m ± SD) %
27.036 ± 3.4
27.31 ± 3.35
ns
27.06 ± 3.46
27.22 ± 3.30
ns
 DGLA (C20:3) (m ± SD) %
0.95 ± 0.25
1.05 ± 0.29
0.0125
1.04 ± 0.28
0.93 ± 0.24
0.0028
 AA (C20:4) (m ± SD) %
4.94 ± 1.17
5.27 ± 1.00
0.0452
5.18 ± 1,15
4.92 ± 1.07
ns
n-3 Polyunsaturated Fatty Acids
 AlA (C18:3) (MD, IQR) μg/ml
21.5, 15.3–30.9
20.9, 16.4–27.5
ns
21.7, 16.13–31.13
20.8, 14.75–27.55
ns
 EPA(C20:5) (MD, IQR) μg/ml
59.3, 44.7–90.1
73.2, 48.6–94.1
ns
63, 45.68–92.88
62.5, 45.25–92.85
ns
 DHA (C22:6) (m ± SD) μg/ml
130.1 ± 43.5
148.6 ± 40.4
0.0012
139.3 + 4.3
134.15 + 4.58
ns
 AlA (C18:3) (MD, IQR) %
0.7, 0.6–0.99
0.72, 0.59–0.89
ns
0.71, 0.59–0.99
0.72, 0.61–0.95
ns
 EPA (C20:5) (MD, IQR) %
2.1, 1.43–3.15
2.29, 1.67–3.44
ns
2.05, 1.41–3.15
2.4, 1.69–3.29
ns
 DHA (C22:6) (m ± SD) %
4.47 ± 1.32
5.00 ± 1.38
0.0094
4.53 ± 1.41
4.81 ± 1.30
ns
 EPA / AA ratio (MD, IQR)
0.45, 0.315–0.6
0.455, 0.343–0.6
ns
0.43, 0.28–0.59
0.48, 0.365–0.68
ns
 n-6 / n-3 ratio (MD, IQR)
4.31, 3.445–5.295
4.1, 3.14–5.228
ns
4.355, 3.428–5.653
4.16, 3.21–4.99
ns
m Mean, SD Standard deviation, MD Median, IQR Interquartile range, % Weight percent of fatty acids, p Probability, BMI Body Mass Index, T-CHO Total cholesterol, TG Triglyceride, LDL-C Low density lipoprotein cholesterol, HDL-C High density lipoprotein cholesterol, LAA_SVO Large-artery atherosclerosis and small-vessel occlusion, CE_O Cardioembolism and others, LaA Lauric acid, MyA Myristic acid, PA Palmitic acid, StA Stearic acid, OlA Oleic acid, LiA Linoleic acid, DGLA Dihomogammalinolenic acid, AA Arachidonic acid, ALA Alpha-linolenic acid, EPA Eicosapentaenoic acid, DHA Docosahexaenoic acid, n-6 n-6 polyunsaturated fatty acids, n-3 n-3 polyunsaturated fatty acids
Patients with LAA or SVO (LAA_SVO) ischaemic stroke subtypes due to arteriosclerosis were younger and had higher concentrations of T-CHO, LDL-C, TG, PA, StA, OlA, LiA, DGLA, and AA than patients with an ischaemic stroke subtype of CE or others (CE_O). However, there were no differences in BMI, sex, AlA, EPA, and DHA concentrations and no differences in s-FAs compositions, except for that of DGLA, between LAA_SVO and CE_O groups (Table 2).
Serum T-CHO and TG were weakly negatively correlated with age (Table 3). Serum concentrations of PA, StA, OlA, LiA, DGLA, AA, and AlA were weakly negatively correlated with age and compositions of SFAs, LiA, AA, and AlA were not correlated with age. Compositions of OlA and DGLA and the EPA/AA ratio were weakly negatively correlated with age. Compositions of EPA and DHA and the n-6/n-3 ratio were weakly positively correlated with age. Most s-FA concentrations were weakly negatively correlated with age, and most s-FA compositions had no correlations with age in our patients (Table 3). Serum concentrations of StA, LiA, and AA showed positive correlations with T-CHO, concentrations of SFAs, LiA, and AlA were positively correlated with TG, and the concentration of OlA was strongly correlated with TG (rs = 0.7661). In contrast, no serum FA concentrations exhibited correlations with LDL-C or HDL-C (Table 3). Further, compositions of MyA and OlA showed positive correlations with TG, whereas no serum FA compositions were correlated with LDL-C or HDL-C (Table 3).
Table 3
Correlation coefficient between serum fatty acids, serum lipids concentration and age
 
T-CHO
 
TG
p
LDL-C
 
HDL-C
 
Age
 
BMI
p
CC
p
CC
CC
p
CC
p
CC
p
CC
Age
−0.1998P
0.0057
− 0.1921
0.0079
− 0.0322P
ns
−0.1229
ns
    
BMI
−0.0914
ns
0.1917
< 0.01
−0.0668
ns
−0.2742
< 0.001
−0.2139
< 0.01
  
Saturated Fatty Acids
Concentration (μg/ml)
  LaA (C12:0)
0.2622
0.0003
0.5601
< 0.0001
0.1327
ns
−0.0102
ns
− 0.1301
ns
0.0677
ns
  MyA (C14:0)
0.2896
< 0.0001
0.6532
< 0.0001
0.1107
ns
−0.002
ns
− 0.1290
ns
0.0828
ns
  PA (C16:0) (MD, IQR)
0.4785
< 0.0001
0.6864
< 0.0001
0.1973
0.0064
0.1404
ns
− 0.2543
4E-04
0.1255
ns
  StA (C18:0)
0.5655
< 0.0001
0.4816
< 0.0001
0.2884
< 0.0001
0.3454
< 0.0001
−0.2854
< 0.0001
0.0545
ns
    (C12:0) + (C14:0) + (C16:0) + (C18:0)
0.5081
< 0.0001
0.6705
< 0.0001
0.218
0.0025
0.1927
0.0077
−0.2646
2E-04
0.1136
ns
Composition (%)
  LaA (C12:0)
0.1222
ns
0.4638
< 0.0001
0.0369
ns
−0.0648
ns
− 0.0757
ns
0.0689
ns
  MyA (C14:0)
0.0872
ns
0.5203
< 0.0001
−0..0141
ns
−0.1013
ns
−0.187
ns
0.0593
ns
  PA (C16:0)
−0.0922P
ns
0.3202
< 0.0001
−0.1631P
0.0245
−0.1917
0.008
−0.0127P
ns
0.1436
< 0.05
  StA (C18:0)
0.1228P
ns
−0.2581
0.0003
−0.153P
0.0351
0.3434
< 0.0001
−0.0012P
ns
−0.0569
ns
n-9 Monounsaturated Fatty Acid
Concentration (μg/ml)
  OlA (C18:1)
0.3245
< 0.0001
0.7661
< 0.0001
0.092
ns
−0.0331
ns
− 0.3161
< 0.0001
0.1873
< 0.01
Composition (%)
  OlA (C18:1)
−0.1742P
0.0162
0.5635
< 0.0001
−0.2482P
0.0006
−0.4201
< 0.0001
−0.2296P
0.001
0.2003
< 0.01
n-6 Polyunsaturated Fatty Acids
Concentration (μg/ml)
  LiA (C18:2)
0.5459
< 0.0001
0.5088
< 0.0001
0.3348
< 0.0001
0.2103
0.0036
−0.3247
< 0.0001
0.0708
ns
  DGLA (C20:3)
0.4914
< 0.0001
0.3716
< 0.0001
0.3294
< 0.0001
0.1892
0.0089
−0.3069
< 0.0001
0.0579
ns
  AA (C20:4)
0.6393
< 0.0001
0.1561
0.0315
0.4343
< 0.0001
0.4003
< 0.0001
− 0.2295
0.001
− 0.0400
ns
    (C18:2) + (C20:3) + (C20:4)
0.6259
< 0.0001
0.4824
< 0.0001
0.3859
< 0.0001
0.2789
< 0.0001
−0.3422
< 0.0001
0.0540
ns
Composition (%)
  LiA (C18:2)
0.1421P
ns
−0.1488
0.0405
0.1592p
0.0282
0.1023
ns
0.0933p
ns
−0.0329
ns
  DGLA (C20:3)
0.1874P
0.0096
−0.0154
ns
0.1779P
0.014
0.1323
ns
−0.1514P
0.037
0.0066
ns
  AA (C20:4)
0.1300P
ns
−0.4858
< 0.0001
0.1475P
0.0423
0.2975
< 0.0001
0.0589P
ns
−0.1795
< 0.05
n-3 Polyunsaturated Fatty Acids
Concentration (μg/ml)
  AlA (C18:3)
0.2221
0.0021
0.6345
< 0.0001
0.0813
ns
−0.039
ns
−0.2146
0.003
0.0750
ns
  EPA (C20:5)
0.155
0.0327
−0.0043
ns
0.1439
0.0476
0.1443
0.0471
0.1094
ns
−0.0071
ns
  DHA (C22:6)
0.2727P
0.0001
0.1844
0.0109
0.1973P
0.0064
0.1329
ns
0.1089P
ns
−0.0822
ns
    (C18:3) + (C20:5) + (C22:6)
0.2516
0.0005
0.1919
0.008
0.1735
0.0167
0.1331
ns
0.0571
ns
−0.0296
ns
Composition (%)
  AlA (C18:3)
0.0016
ns
0.4610
< 0.0001
−0.0506
ns
−0.1434
0.0484
−0.1117
ns
0.0157
ns
  EPA (C20:5)
−0.0639
ns
−0.2598
0.0003
0.0219
ns
0.0629
ns
0.2350
0.001
−0.0248
ns
  DHA (C22:6)
−0.1204P
ns
−0.2505
0.0005
0.0234P
ns
0.0084
ns
0.3400P
< 0.0001
−0.1455
< 0.05
EPA / AA ratio
−0.1367
ns
−0.0847
ns
−0.0554
ns
−0.0419
ns
0.2094
0.004
0.0082
ns
n-6 / n-3 ratio
0.1498
0.0392
0.1226
ns
0.0773
ns
0.0251
ns
−0.2497
5E-04
0.0456
ns
m Mean, SD Standard deviation, MD Median, IQR Interquartile range, % Weight percent of fatty acids, p Probability, BMI Body Mass Index, T-CHO Total cholesterol, TG Triglyceride, LDL-C Low density lipoprotein cholesterol, HDL-C High density lipoprotein cholesterol, CC Spearman’s rank correlation coefficient except superscript “P”, Superscript “P” meaning Pearson’s correlation coefficient, LaA Lauric acid, MyA Myristic acid, PA Palmitic acid, StA Stearic acid, OlA Oleic acid, LiA Linoleic acid, DGLA Dihomogammalinolenic acid, AA Arachidonic acid, ALA Alpha-linolenic acid, EPA Eicosapentaenoic acid, DHA Docosahexaenoic acid, n-6 n-6 polyunsaturated fatty acids, n-3 n-3 polyunsaturated fatty acids
Patients aged 50–64 years had the highest concentrations of TG, PA, StA, OlA, LiA, DGLA, and AA among the three age groups, and patients aged 80 years or older had the highest compositions of EPA (2.47%) and DHA (5.14%) (Table 4). Twenty-five (78.1%) of 32 patients aged 50–64 years suffered from LAA_SVO and these 25 patients had higher concentrations of TG (MD, IQR: 173, 104–223 mg/dl), PA (777.8, 704.5–960.5 μg/ml), StA (229.4, 208.6–280.05 μg/ml), OlA (742.5, 637.45–865.85 μg/ml), LiA (896.8, 806.4–1007.75 μg/ml), DGLA (36.8, 28.9–48.35 μg/ml), and AA (172.4, 146.4–204.5 μg/ml) than the seven patients with CE_O; however, there were no differences in the compositions of EPA and DHA or the EPA/AA and n-6/n-3 ratios between LAA_SVO and CE_O groups among the 68 patients aged 80 or older (Table 5). These oldest 68 patients had the highest compositions of EPA and DHA; however, there were no differences in such compositions between LAA_SVO and CE_O groups (Table 5). With adjustments for age, TCHO, and TG by logistic regression analysis, AA (OR = 1.011, 95% CI, 0.999–1.012), DGLA (OR = 1.042, 95% CI, 0.998–1.089), and T-CHO (OR = 1.011, 95% CI, 0.999–1.024) were weakly associated with LAA_SVO, rather than CEO_O, although TG (OR = 1.013, 95% CI, 1.003–1.024) and age (OR = 0.961, 95% CI, 0.927–0.993) were associated with LAA_SVO, rather than CEO_O.
Table 4
Comparison of lipids and fatty acids with significant correlation with age among age groups
 
50 = < Age < 65
65 = < Age < 80
80 = < Age
 
n = 32
n = 91
n = 68
p
Age (m ± SD) years
57.8 ± 4.1
72.3 ± 4.3
85.2 ± 4.5
 
Lipids
 T-CHO (m ± SD) mg/dl
213.9 ± 42.9
203.7 ± 41.2
197.9 ± 36.9
ns
 TG (MD, IQR) mg/dl
145.5, 65.5–217.8 ab
92, 69–134 a
92, 69–116 b
0.0118
Saturated Fatty Acids
 LaA (C12:0) (MD, IQR) μg/ml
1.65, 0.8–3.65
1,2, 0.7–2.4
1.1, 0.7–1.78
ns
 MyA (C14:0) (MD, IQR) μg/ml
21.9, 14.7–38.1
17.6, 13.8–27.2
17.5, 12.9–23.9
ns
 PA (C16:0) (MD, IQR) μg/ml
763.9, 666.9–960.5 ac
678.8, 580.7–828.7 a
647.7, 577.1–735.6 c
0.001
 StA (C18:0) (MD, IQR) μg/ml
222.1, 196.6–258.8 bc
207.4, 175.1–241.1 b
185, 165.9–215.3 c
0.001
n-9 Monounsaturated Fatty Acid
 OlA (C18:1) (MD, IQR) μg/ml
718.2, 614.9–863.3 bd
604.8, 515.8–723.6 ab
550.3, 494.0–644.6 ad
< 0.0001
 OlA (C18:1) (m ± SD) %
22.3 ± 2.4 b
21.3 ± 2.4 a
20.7 ± 2.5 ab
0.0046
n-6 Polyunsaturated Fatty Acids
 LiA (C18:2) (MD, IQR) μg/ml
882.4, 783.3–1003.8 d
826.2, 692.9–957.4 c
697.4, 636.2–845.5 cd
< 0.0001
 DGLA (C20:3) (MD, IQR) μg/ml
35.6, 26.9–46.7 ac
28.7, 21.6–36.5 a,a2
25.3, 19.7–31.2 a2,c
0.0006
 AA (C20:4) (MD, IQR) μg/ml
156.6, 144.1–198.2 ab
144.7, 122.1–169.9 a
140.6, 120–162.8 b
0.0168
 DGLA (C20:3) (m ± SD) %
1.1 ± 0.5
0.99 ± 0.29
0.96 ± 0.26
ns
n-3 Polyunsaturated Fatty Acids
 AlA (C18:3) (MD, IQR) μg/ml
23.1, 18.0–31.2 b
23, 16.3–32.6 b2
18.4, 13.9–23.5 b,b2
0.0026
 EPA (C20:5) (MD, IQR) %
1.535, 0.843–2.71 ab
2.11, 1.54–3.15 a
2.47, 1.77–3.54 b
0.0048
 DHA (C22:6) (m ± SD) %
3.88 ± 1.34 bd
4.58 ± 1.36 b,b2
5.14 ± 1.18 b2,d
< 0.0001
 EPA / AA ratio (MD, IQR)
0.325, 0.185–0.525 ab
0.46, 0.34–0.6 a
0.48, 0.353–0.718 b
0.0115
 n-6 / n-3 ratio (MD, IQR)
4.84, 3.693–7.598 b
4.36, 3.42–5.46 a
3.765, 3.00–4.595 ab
0.0036
m Mean, SD Standard deviation, MD Median, IQR Interquartile range, % Weight percent of fatty acids, T-CHO Total cholesterol, TG Triglyceride, p Probability, a,a2: < 0.05, b,b2: < 0.01, c: < 0.001, d:< 0.0001, LaA Lauric acid, MyA Myristic acid, PA Palmitic acid, StA Stearic acid, OlA Oleic acid, LiA Linoleic acid, DGLA Dihomogammalinolenic acid, AA Arachidonic acid, ALA Alpha-linolenic acid, EPA Eicosapentaenoic acid, DHA Docosahexaenoic acid, EPA Eicosapentaenoic acid, AA Arachidonic acid, n-6 n-6 polyunsaturated fatty acids, n-3 n-3 polyunsaturated fatty acids,
Table 5
Comparison of lipids and fatty acids with significant correlation between age groups and ischaemic stroke subtypes
 
Age Groups
50 = < Age < 65 (n = 32)
p
65 = < Age < 80 (n = 91)
p
80 = < Age (n = 68)
p
LAA_SVO (n = 25) 78.1%
CE_O (n = 7) 21.9%
LAA_SVO (n = 48) 52.7%
CE_O (n = 43) 47.3%
LAA_SVO (n = 29) 42.6%
CE_O (n = 39) 57.4%
Age (m ± SD) years
58.0 ± 3.9
57.0 ± 5.2
ns
71.5 ± 4.3
73.1 ± 4.2
ns
84.4 ± 4.0
85.7 ± 4.9
ns
Lipids
 T-CHO (m ± SD) mg/dl
224.2 ± 39.9
177.3 ± 33.7
0.0083
211.3 ± 45.5
195.3 ± 34.3
ns
209.2 ± 36.2
189.2 ± 35.5
0.0269
 TG (MD, IQR) mg/dl
173, 104–223
57, 48–180
0.034
93.5, 72.3–134
90, 67–134
ns
100, 66.5–138.5
86, 70.5–107
ns
Saturated Fatty Acids
 LaA (C12:0) (MD, IQR) μg/ml
1.8, 0.95–4.35
1.1, 0.3–1.7
0.068
1,2, 0.73–2.38
1,2, 0.7–2.6
ns
1.0, 0.65–2.2
1.1, 0.8–1.6
ns
 MyA (C14:0) (MD, IQR) μg/ml
23.9, 16.35–39.55
13, 11.7–22.5
0.0425
18.3, 13.73–27.73
17.6, 14–27.2
ns
18.2, 13.0–30.95
17.5, 12.4–22.1
ns
 PA (C16:0) (MD, IQR) μg/ml
777.8, 704.5–960.5
661.6, 535.1–718.4
0.024
679.95, 573.48–814.28
674.4, 597–833.1
ns
728, 586.95–776.7
621.4, 577–700.3
0.0153
 StA (C18:0) (MD, IQR) μg/ml
229.4, 208.6–280.05
168.6, 137.3–195.9
0.0051
209.25, 186.7–240.88
201.1, 174.2–243.4
ns
185.6, 176.25–224.9
184.3, 160.9–212.1
ns
n-9 Monounsaturated Fatty Acid
 OlA (C18:1) (MD, IQR) μg/ml
742.5, 637.45–865.85
601.8, 496.5–640.1
0.0381
602.65, 516.78–716.73
604.8, 506–793.4
ns
593.9, 499.35–692.75
541.1, 491.5–618.6
ns
 OlA (C18:1) (m ± SD) %
22.1 ± 2.37
23.2 ± 2.5
ns
21.36 ± 2.58
21.26 ± 2.28
ns
20.51 ± 2.19
20.79 ± 2.68
ns
n-6 Polyunsaturated Fatty Acids
 LiA (C18:2) (MD, IQR) μg/ml
896.8, 806.4–1007.75
697.5, 586.2–882.2
0.0213
804.35, 687.48–999.63
833.7, 698.4–932.7
ns
777.3, 666.85–866.1
664, 619.9–728.5
0.0182
 DGLA (C20:3) (MD, IQR) μg/ml
36.8, 28.9–48.35
22, 14.9–36.9
0.0448
31.7, 24.23–37.3
28.3, 18.6–36.1
ns
27.4, 21.45–36
23.1, 19.6–28
0.0252
 AA (C20:4) (MD, IQR) μg/ml
172.4, 146.4–204.5
116.4, 106.2–161
0.0189
147.0, 130.8–175.4
144.4, 113.1–158.9
ns
153, 123.85–172.25
133.1, 116.2–157.5
0.0401
 DGLA (C20:3) (m ± SD) %
1.08 ± 0.23
0.99 ± 0.33
ns
1.04 ± 0.29
0.93 ± 0.27
ns
1.03 ± 0.31
0.91 ± 0.20
ns
n-3 Polyunsaturated Fatty Acids
 AlA (C18:3) (MD, IQR) μg/ml
23.3, 19.05–31.4
21.8, 13.7–26.3
ns
21.7, 15.3–32.93
24, 16.4–32.5
ns
19.0, 14.15–25.45
17.3, 13.3–22.4
ns
 EPA (C20:5) (MD, IQR) %
1.43, 0.965–2.845
1.93, 0.61–2.74
ns
2.055, 1.50–2.835
2.22, 1.65–3.26
ns
2.23, 1.595–3.845
2.54, 1.92–3.37
ns
 DHA (C22:6) (m ± SD) %
3.956 ± 1.35 b
3.60 ± 1.36 ab
ns
4.515 ± 1.458
4.64 ± 1.26
ns
5.05 ± 1.19
5.21 ± 1.18
ns
 EPA / AA ratio (MD, IQR)
0.32, 0.19–0.53
0.35, 0.15–0.54
ns
0.455, 0.325–0.578
0.46, 0.37–0.67
ns
0.43, 0.305–0.725
0.48, 0.38–0.7
ns
 n-6 / n-3 ratio (MD, IQR)
4.72, 3.625–7.255
5.11, 3.97–7.81
ns
4.49, 3.448–5.625
4.3, 3.38–5.18
ns
4.03, 3.045–4.98
3.73, 2.91–4.55
ns
m Mean, SD Standard deviation, MD Median, IQR Interquartile range, % Weight percent of fatty acids, p Probability, T-CHO Total cholesterol, TG Triglyceride, LAA_SVO Large-artery atherosclerosis and small-vessel occlusion, CE_O Cardioembolism and others, LaA Lauric acid, MyA Myristic acid, PA Palmitic acid, StA Stearic acid, OlA Oleic acid, LiA Linoleic acid, DGLA Dihomogammalinolenic acid, AA Arachidonic acid, ALA Alpha-linolenic acid, EPA Eicosapentaenoic acid, DHA Docosahexaenoic acid, n-6 n-6 polyunsaturated fatty acids, n-3 n-3 polyunsaturated fatty acids

Discussion

Our results of elderly AIS patients demonstrated that concentrations, but not compositions, of PA, OlA, and LiA are significantly correlated with age, TG, and ischaemic stroke subtypes. Patients with LAA_SVO were younger and had higher concentrations of T-CHO, TG, PA, StA, OlA, LiA, DGLA, and AA among patients aged 50 years or older, whereas there were no differences in the compositions of s-FAs, except for that of DGLA, between LAA_SVO and CE_O groups. Although no fatty acid concentrations were significant independent predictors of LAA_SVO, as compared to the predictive power of CE_O, AA and DGLA concentrations had a weak association with LAA_SVO rather than CE_O. Compositions of EPA and DHA were not related to ischaemic stroke subtype but rather were associated with age at onset.
A previous study reported that TG concentration had a stronger relationship with n-6 PUFA than T-CHO concentration in healthy Japanese individuals with normal serum T-CHO and TG levels, and that correlation coefficient between TG and n-6 PUFA was negative, specifically, − 0.417 in men and − 0.330 in women [1]. In our elderly patients, the Spearman rank correlation coefficient comparing TG and LiA was positive, specifically 0.5088 at AIS onset. Correlations between TG and n-6 PUFA were quite different between young, healthy individuals. and elderly patients at AIS onset. A previous study reported that serum palmitic and oleic acid were associated with an increased incidence of incidental atherothrombotic, lacunar, and ischemic strokes of undetermined cause compared to that with matched controls, and that DHA and arachidonic acid were associated with a decreased incidence of ischaemic stroke [9]. However, that was a case-control study in which fasting blood samples were collected from all observational study participants, and their values of serum fatty acids were not reported at AIS onset [9]. Concentrations of PA, StA, and OlA were higher in the LAA_SVO group than in the CE_O group in our elderly AIS patient cohort, although patients with CE_O were not the matched controls but were ischaemic stroke patients.
A previous study reported that higher concentrations of serum n-6 PUFAs and lower levels of MUFAs are strongly associated with lower TG levels [4]. However, in our study, higher concentrations of n-6 PUFAs were associated with higher TG levels. A previous study also reported that mean compositions of PA, OlA, LiA, EPA, and DHA in healthy Japanese male subjects aged 50 to 59 years were 25, 21.3, 27.3, 2.4, and 4.0%, respectively [1], which were almost the same as those in our male patients (Table 2). A previous study reported that the mean concentration of LiA was 2233.8 μmol/L (626.5 μg/ml) in healthy young adults in their 20s [10], which was almost the same as the concentration detected in our patients. In contrast, a previous study reported that in US patients with CAD at an average age of 47 ± 5 years, the mean concentrations of PA, StA, OlA, LiA, DGLA, AA, EPA, and DHA were 823, 13, 1336, 4358, 33, 688, 67, and 40 μg/ml, respectively, and the mean compositions of PA, StA, OlA, LiA, DGLA, AA, EPA, and DHA were 11.3, 0.2, 18.4, 58.6, 0.4, 9.4, 0.9, and 0.5%, respectively [6]. Their concentrations of OlA, LiA, and AA and compositions of LiA and AA were much higher, but compositions of OlA, EPA, and DHA were much lower, than those in our patients (Table 1). Compared to those in our patients, concentrations of 4358 μg/ml of LiA and 688 μg/ml of AA were extremely high, and in that previous study, atherosclerotic CAD typically occurred in patients in their 40s. Our patients with LAA_SVO due to arteriosclerosis were younger among the cohort, and they also had higher concentrations of LiA and AA. Even though the concentration of a fatty acids might be high, its proportion could be low because the proportion is relative. If the concentration of one variable increases, the composition of the other variables has to decrease. Composition, therefore, is not appropriate to identify driving factors. Further, serum concentrations of fatty acids can be more easily interpreted in metabolic and therapeutic terms, as reported previously. Our study was retrospective and cross-sectional, and there was no control group. Therefore, it was not determined whether s-FA concentrations in patients with LAA_SVO were high or whether compositions of EPA and DHA were high or low, compared to those in hypothetical control subjects.
Previous studies have reported that n-3 PUFA might reduce the incidence of CAD or stroke or the mortality associated with cardiovascular disease [1115]. The administration of highly-purified EPA appeared to reduce the risk of recurrent stroke in a Japanese population of hypercholesterolemic patients receiving low-dose statin therapy [13]. In contrast, SFAs might increase the risk factors associated with these conditions [16]. A fish diet decreases very-low-density lipoprotein (VLDL) but increases both low-density lipoprotein (LDL) and high-density lipoprotein (HDL) in healthy human subjects [3]. Further, dietary SFAs were found to increase serum T-CHO, and it was shown that dietary n-6 PUFAs lower serum T-CHO [17, 18]. LiA-rich food can also lower T-CHO [5]. However, in our patients, the concentration of LiA was strongly positively correlated with T-CHO and TG levels. Dietary fatty acids with lower amounts of PA, StA, OlA, and n-6 PUFAs and higher compositions of EPA and DHA might also reduce the incidence of ischaemic stroke associated with LAA_SVO and in the oldest age group, although the appropriate dietary intake of fatty acids to prevent ischaemic stroke cannot be confirmed based on the results of our study. Serum fatty acids at AIS onset are significantly influenced by recent dietary intake, and it is important to assess what types and quantities of meats and fish were consumed and what kind and volume of vegetable oils were used a few days before AIS onset. The assessment of dietary intake might lead to a recommendation for the appropriate dietary intake of fatty acids to prevent ischaemic stroke. If the appropriate intake of fatty acids is identified, a prospective randomised control study is required to address this.

Conclusions

In AIS elderly patients, concentrations, rather than compositions, of PA, OlA, and LiA correlated with age, TG, and ischaemic stroke subtype. Further, patients with LAA_SVO were younger and had higher concentrations of PA, OlA, and LiA than those with CE_O, although serum fatty acids were not independent predictors of LAA_SVO, as compared to the predictive power of CE_O. There were no differences in s-FA compositions between LAA_SVO and CE_O groups. Higher compositions of EPA and DHA were associated with the oldest age. Further studies are warranted to determine the appropriate dietary intake of fatty acids for AIS prevention and long life.

Acknowledgements

The authors wish to thank Miss Nozomi Chiba, BA, for her secretarial support.
All procedures performed in the study were in accordance with the ethical standards of the institution (Shonan Kamakura General Hospital) and with the 1964 Helsinki Declaration. The institutional (Shonan Kamakura General Hospital) ethics committee approved access to medical records for our retrospective analysis. Informed consent was not required because of routine medical care, the retrospective design, and the anonymisation of patient identifiers.
Not applicable

Competing interests

The authors declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat Takita T, Nakamura K, Kimira M, Yamada N, Kobayashi Y, Innami S. Serum fatty acid compositions and lipid concentrations and their correlations. J Clin Biochem Nutr. 1996;20:149–59.CrossRef Takita T, Nakamura K, Kimira M, Yamada N, Kobayashi Y, Innami S. Serum fatty acid compositions and lipid concentrations and their correlations. J Clin Biochem Nutr. 1996;20:149–59.CrossRef
2.
Zurück zum Zitat Lohnera S, Feketeb K, Marosvolgyi T, Decsia T. Gender differences in the long-chain polyunsaturated fatty acid status: systematic review of 51 publications. Ann Nutr Metab. 2013;62:98–112.CrossRef Lohnera S, Feketeb K, Marosvolgyi T, Decsia T. Gender differences in the long-chain polyunsaturated fatty acid status: systematic review of 51 publications. Ann Nutr Metab. 2013;62:98–112.CrossRef
3.
Zurück zum Zitat von Lossonczy TO, Ruiter A, Bronsgeest-Schoute HC, van Gent CM, Hermus RJ. The effect of a fish diet on serum lipids in healthy human subjects. Am J Clin Nutr. 1978;31:1340–6.CrossRef von Lossonczy TO, Ruiter A, Bronsgeest-Schoute HC, van Gent CM, Hermus RJ. The effect of a fish diet on serum lipids in healthy human subjects. Am J Clin Nutr. 1978;31:1340–6.CrossRef
4.
Zurück zum Zitat Jelenkovic A, Bogl LH, Rose RJ, Kangas AJ, Soininen P, Ala-Korpela M, et al. Association between serum fatty acids and lipoprotein subclass profile in healthy young adults: exploring common genetic and environmental factors. Atherosclerosis. 2014;233:394–402.CrossRef Jelenkovic A, Bogl LH, Rose RJ, Kangas AJ, Soininen P, Ala-Korpela M, et al. Association between serum fatty acids and lipoprotein subclass profile in healthy young adults: exploring common genetic and environmental factors. Atherosclerosis. 2014;233:394–402.CrossRef
5.
Zurück zum Zitat Rassias G, Kestin M, Nestel PJ. Linoleic acid lowers LDL cholesterol without a proportionate displacement of saturated fatty acid. Eur J Clin Nutr. 1991;45:315–20.PubMed Rassias G, Kestin M, Nestel PJ. Linoleic acid lowers LDL cholesterol without a proportionate displacement of saturated fatty acid. Eur J Clin Nutr. 1991;45:315–20.PubMed
6.
Zurück zum Zitat Schwertner HA, Mosser EL. Comparison of lipid fatty acids on a concentration basis vs weight percentage basis in patients with and without coronary artery disease or diabetes. Clin Chem. 1993;39:659–63.CrossRef Schwertner HA, Mosser EL. Comparison of lipid fatty acids on a concentration basis vs weight percentage basis in patients with and without coronary artery disease or diabetes. Clin Chem. 1993;39:659–63.CrossRef
7.
Zurück zum Zitat Mori T, Tanno Y, Kasakura S, Yoshioka K, Nakai N. Serum fatty acids and ischemic stroke subtypes in middle- and late-onset acute stroke patients. Clin Nutr Exp. 2018;22:19–29.CrossRef Mori T, Tanno Y, Kasakura S, Yoshioka K, Nakai N. Serum fatty acids and ischemic stroke subtypes in middle- and late-onset acute stroke patients. Clin Nutr Exp. 2018;22:19–29.CrossRef
8.
Zurück zum Zitat Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of org 10172 in acute stroke treatment. Stroke. 1993;24:35–41.CrossRef Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of org 10172 in acute stroke treatment. Stroke. 1993;24:35–41.CrossRef
9.
Zurück zum Zitat Yaemsiri S, Sen S, Tinker LF, Robinson WR, Evans RW, Rosamond W, et al. Serum fatty acids and incidence of ischemic stroke among postmenopausal women. Stroke. 2013;44:2710–7.CrossRef Yaemsiri S, Sen S, Tinker LF, Robinson WR, Evans RW, Rosamond W, et al. Serum fatty acids and incidence of ischemic stroke among postmenopausal women. Stroke. 2013;44:2710–7.CrossRef
10.
Zurück zum Zitat Abdelmagid SA, Clarke SE, Nielsen DE, Badawi A, El-Sohemy A, Mutch DM, et al. Comprehensive profiling of plasma fatty acid concentrations in young healthy Canadian adults. PLoS One. 2015;10:e0116195.CrossRef Abdelmagid SA, Clarke SE, Nielsen DE, Badawi A, El-Sohemy A, Mutch DM, et al. Comprehensive profiling of plasma fatty acid concentrations in young healthy Canadian adults. PLoS One. 2015;10:e0116195.CrossRef
11.
Zurück zum Zitat Dyerberg J, Bang HO. A hypothesis on the development of acute myocardial infarction in Greenlanders. Scand J Clin Lab Invest Suppl. 1982;161:7–13.CrossRef Dyerberg J, Bang HO. A hypothesis on the development of acute myocardial infarction in Greenlanders. Scand J Clin Lab Invest Suppl. 1982;161:7–13.CrossRef
12.
Zurück zum Zitat Kromhout D, Bosschieter EB, de Lezenne Coulander C. The inverse relation between fish consumption and 20-year mortality from coronary heart disease. N Engl J Med. 1985;312:1205–9.CrossRef Kromhout D, Bosschieter EB, de Lezenne Coulander C. The inverse relation between fish consumption and 20-year mortality from coronary heart disease. N Engl J Med. 1985;312:1205–9.CrossRef
13.
Zurück zum Zitat Tanaka K, Ishikawa Y, Yokoyama M, Origasa H, Matsuzaki M, Saito Y, et al. Reduction in the recurrence of stroke by eicosapentaenoic acid for hypercholesterolemic patients: subanalysis of the JELIS trial. Stroke. 2008;39:2052–8.CrossRef Tanaka K, Ishikawa Y, Yokoyama M, Origasa H, Matsuzaki M, Saito Y, et al. Reduction in the recurrence of stroke by eicosapentaenoic acid for hypercholesterolemic patients: subanalysis of the JELIS trial. Stroke. 2008;39:2052–8.CrossRef
14.
Zurück zum Zitat Miyagawa N, Miura K, Okuda N, Kadowaki T, Takashima N, Nagasawa SY, et al. Long-chain n-3 polyunsaturated fatty acids intake and cardiovascular disease mortality risk in Japanese: a 24-year follow-up of NIPPON DATA80. Atherosclerosis. 2014;232:384–9.CrossRef Miyagawa N, Miura K, Okuda N, Kadowaki T, Takashima N, Nagasawa SY, et al. Long-chain n-3 polyunsaturated fatty acids intake and cardiovascular disease mortality risk in Japanese: a 24-year follow-up of NIPPON DATA80. Atherosclerosis. 2014;232:384–9.CrossRef
15.
Zurück zum Zitat Morise A, Serougne C, Gripois D, Blouquit MF, Lutton C, Hermier D. Effects of dietary alpha linolenic acid on cholesterol metabolism in male and female hamsters of the LPN strain. J Nutr Biochem. 2004;15:51–61.CrossRef Morise A, Serougne C, Gripois D, Blouquit MF, Lutton C, Hermier D. Effects of dietary alpha linolenic acid on cholesterol metabolism in male and female hamsters of the LPN strain. J Nutr Biochem. 2004;15:51–61.CrossRef
16.
Zurück zum Zitat Sacks FM, Lichtenstein AH, Wu JHY, Appel LJ, Creager MA, Kris-Etherton PM, et al. Dietary fats and cardiovascular disease: a presidential advisory from the American Heart Association. Circulation. 2017;136:e1–23.CrossRef Sacks FM, Lichtenstein AH, Wu JHY, Appel LJ, Creager MA, Kris-Etherton PM, et al. Dietary fats and cardiovascular disease: a presidential advisory from the American Heart Association. Circulation. 2017;136:e1–23.CrossRef
17.
Zurück zum Zitat Hegsted DM, Ausman LM, Johnson JA, Dallal GE. Dietary fat and serum lipids: an evaluation of the experimental data. Am J Clin Nutr. 1993;57:875–83.CrossRef Hegsted DM, Ausman LM, Johnson JA, Dallal GE. Dietary fat and serum lipids: an evaluation of the experimental data. Am J Clin Nutr. 1993;57:875–83.CrossRef
18.
Zurück zum Zitat Fernandez M, West K. Mechanisms by which dietary fatty acids modulate plasma lipids. J Nutr. 2005;135:2075–8.CrossRef Fernandez M, West K. Mechanisms by which dietary fatty acids modulate plasma lipids. J Nutr. 2005;135:2075–8.CrossRef
Metadaten
Titel
Features of serum fatty acids in acute ischaemic stroke patients aged 50 years or older
verfasst von
Takahisa Mori
Kazuhiro Yoshioka
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Cardiovascular Disorders / Ausgabe 1/2020
Elektronische ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-020-01408-1

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