Literature DB >> 19651920

Significant synergistic effect of peroxisome proliferator-activated receptor gamma C-2821T and diabetes on the risk of ischemic stroke.

Fang-I Hsieh1, Wei-Cheng Lo, Huey-Juan Lin, Yi-Chen Hsieh, Li-Ming Lien, Chyi-Huey Bai, Hung-Pin Tseng, Hung-Yi Chiou.   

Abstract

OBJECTIVE: To explore the relationship between the genetic polymorphisms of PPARgamma (Pro12Ala, C1431T, and C-2821T) and the risk of ischemic stroke and to investigate whether these genetic polymorphisms of PPARgamma would modify the risk of ischemic stroke among patients with hypertension or diabetes. RESEARCH DESIGN AND METHODS: The case-control study was conducted with 537 ischemic stroke patients and 537 control subjects. A structured questionnaire was used to collect information on conventional cardiovascular risk factors and laboratory results. The genetic polymorphisms of PPARgamma were determined by PCR-restriction fragment-length polymorphism.
RESULTS: A significant interaction was seen between the -2821C allele and diabetes but not between this allele and hypertension. A markedly elevated risk of ischemic stroke (odds ratio 9.7) was found in the subjects with diabetes and the -2821C allele compared with that in those without these two risk factors.
CONCLUSIONS: The -2821C allele of PPARgamma was a strong predictor of ischemic stroke for diabetic patients.

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Year:  2009        PMID: 19651920      PMCID: PMC2768222          DOI: 10.2337/dc09-0717

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Peroxisome proliferator–activated receptor γ (PPARγ) is a ligand-dependent transcription factor involved in the regulation of lipid metabolism and inflammation (1–2). It is expressed in endothelium, vascular smooth muscle cells, macrophages, T-lymphocytes, and human atherosclerotic lesions (3–7). Indeed, PPARγ has been reported to play an important role in the progression of atherosclerosis, which is a well-known risk factor of stroke (8). PPARγ was proved to prevent postischemic inflammation and neuronal damage in animal studies (9). It may serve as potential targets for treating ischemic stroke. Thus, we aimed to explore the relationship between genetic polymorphisms of PPARγ and the risk of ischemic stroke.

RESEARCH DESIGN AND METHODS

A total of 537 ischemic stroke patients aged 30–95 years and confirmed with computed tomography or magnetic resonance imaging were recruited from the Department of Neurology at Chi-Mei Hospital, Lotung Poh-Ai Hospital, Wan-Fang Hospital, and Taipei Medical University Hospital between 2005 and 2007. A total of 1,636 subjects aged 30–95 years from the health examinations at Shin-Kong WHS Memorial Hospital and Wan-Fang Hospital between 2004 and 2007 were recruited as candidates for the control group. Among these candidates, 34 with a stroke history were excluded. A total of 537 control subjects were then randomly selected from 1,602 candidates and frequency matched by age (±2.5 years) and sex with case subjects. This case-control study was approved by the institutional review board for human subjects, and each subject provided written informed consent prior to the study. A structured questionnaire was used to collect information on conventional cardiovascular risk factors and laboratory results. The genetic polymorphisms of PPARγ (C-2821T, Pro12Ala, and C1431T) were determined by PCR–restriction fragment–length polymorphism. Details are described in the online appendix, available at http://care.diabetesjournals.org/cgi/content/full/dc09-0717/DC1. Student t tests, Mann-Whitney U tests, χ2 tests, and logistic regression models were used as appropriate and performed with the SAS statistical software (version 9.1). Synergy index scores were used to evaluate interaction between two risk factors (10). Pairwise linkage disequilibrium between single nucleotide polymorphism markers was evaluated by Haploview (11).

RESULTS

The occurrences of hypertension (75.6%), diabetes (45.9%), and PPARγ C-2821C genotype (12.3%) were more common in case than in control subjects, but the distribution of Pro12Ala and C1431T was similar between the two groups. The percentage of antihypertension drugs in ischemic stroke case subjects (66.7%) was similar to that in control subjects (66.6%). Of the ischemic stroke case subjects with diabetes, 54.1% had pharmacological treatment. The percentage of pharmacological treatment for diabetes in control subjects (41.5%) was less than that in case subjects. All genetic polymorphisms were in Hardy-Weinberg equilibrium. There was a high degree of linkage disequilibrium between Pro12Ala and C-2821T. After adjusting for BMI, waist circumference, a history of ever smoking, dyslipidemia, hypertension, diabetes, and pharmacological treatment for diabetes, the odds ratio (OR) of PPARγ C-2821C genotype was not significant. Compared with nondiabetic subjects with T-2821T genotype, an increased risk of ischemic stroke was observed in TT genotype carriers with diabetes (OR 4.2; P = 0.07), and the OR drastically increased to 9.7 (P = 0.008) in C allele carriers but not in C allele carriers without diabetes. Thus, there was a significant joint effect of the PPARγ C-2821T polymorphism and diabetes (synergy − index = 2.7) on the risk of ischemic stroke. On the other hand, no interaction between hypertension and the PPARγ C-2821T polymorphism on the risk of ischemic stroke was found (synergy − index = 0.9). The risk of ischemic stroke was estimated for each combination of hypertension, diabetes, and the PPARγ −2821C allele, using nonhypertension, non-diabetes, and non-2821C allele carriers as the reference group (Table 1). The ORs of ischemic stroke in hypertension alone or diabetes alone were 2.7 and 3.5, respectively. Furthermore, the OR increased to 5.3 in the subjects with diabetes and the PPARγ −2821C allele, which was higher than the risk in association with hypertension or diabetes alone. The greatest OR (11.6) was seen in the subjects with hypertension, diabetes, and the PPARγ −2821C allele. A trend test indicated that the risk of ischemic stroke increased along with the accumulating number of these three risk factors (P < 0.0001).
Table 1

Adjusted ORs of ischemic stroke risk by hypertension, diabetes, and PPARγ −2821C allele

Group of risk factorsHypertensionDiabetesPPARγ −2821CCase/control subjectsOR (95% CI)*Grouped OR (95% CI)*
Ref.34/931.01.0
I+43/891.5 (0.7–3.4)
I+31/153.5 (1.2–10.0)
I+101/1292.7 (1.3–5.3)2.3 (1.2–4.3)
II++23/85.3 (1.5–18.3)
II++112/1262.3 (1.1–4.5)
II++77/434.4 (1.8–10.4)2.6 (1.3–5.1)
III+++115/2811.6 (5.0–26.9)§9.6 (4.2–21.7)§

Data are n unless otherwise indicated. The reference group was the study subjects without hypertension, diabetes, and the PPARγ −2821C allele. Ptrend < 0.0001 among groups I– III.

*Adjustment for BMI, waist circumference, history of ever smoking, dyslipidemia, and pharmacological treatment for diabetes.

†P < 0.05.

‡P < 0.001.

§P ≤ 0.0001. +, appearance of risk factor; −, absence of risk factor.

Adjusted ORs of ischemic stroke risk by hypertension, diabetes, and PPARγ −2821C allele Data are n unless otherwise indicated. The reference group was the study subjects without hypertension, diabetes, and the PPARγ −2821C allele. Ptrend < 0.0001 among groups I– III. *Adjustment for BMI, waist circumference, history of ever smoking, dyslipidemia, and pharmacological treatment for diabetes. †P < 0.05. ‡P < 0.001. §P ≤ 0.0001. +, appearance of risk factor; −, absence of risk factor.

CONCLUSIONS

Our study concluded that there was no relationship between PPARγ Pro12Ala genotype and the risk of ischemic stroke. The same result was found by Zafarmand et al. (12), but the opposite conclusion was made by Lee et al. (13). The data of genetic polymorphism of PPARγ C-2821T in diseases were scarce. This novel genetic variant was first identified in the Pima Indian population from Arizona and was reported to associate with metabolic predictors of type 2 diabetes and obesity (14). In the present study, we found a joint effect of the PPARγ −2821C allele and diabetes on the risk of ischemic stroke. Adjusting for traditional cardiovascular risk factors and pharmacological treatment for diabetes, the risk of ischemic stroke in the −2821C allele carriers with diabetes was 9.7 times greater than that of the homozygous T allele carriers without diabetes. Higher transcriptional activity was found in the −2821T allele than in the −2821C allele by using the Dual Luciferase Reporter Assay in 3T3-L1 cells (14). This implied that PPARγ could present a protective effect on ischemic stroke. Wu et al. (9) used a rat model to prove PPARγ to be a critical factor for protection against neuronal apoptosis and cerebral infarction by the mediated 14-3–3ε protein. In addition, PPARγ was reported to be an important regulator of endothelial function in the cerebral circulation, especially under conditions of high fat–induced stress (15). In the present study, we found that the risk of ischemic stroke in subjects with hypertension, diabetes, and the −2821C allele was 2.6 times higher than that in the subjects with hypertension and diabetes. Therefore, the combination of hypertension, diabetes, and the PPARγ −2821C allele was a strong predictor of ischemic stroke. Further studies in other populations will be very useful in establishing the contribution of this C-2821T polymorphism to ischemic stroke. In conclusion, there was a strong interaction between the PPARγ −2821C allele and diabetes with regard to risk of ischemic stroke. Thus, the PPARγ −2821C allele was a strong predictor of ischemic stroke for diabetic patients, and PPARγ may serve as a potential target for treating ischemic stroke.
  14 in total

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Authors:  J C Barrett; B Fry; J Maller; M J Daly
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Authors:  X Y Yang; L H Wang; T Chen; D R Hodge; J H Resau; L DaSilva; W L Farrar
Journal:  J Biol Chem       Date:  2000-02-18       Impact factor: 5.157

3.  Expression and function of PPARgamma in rat and human vascular smooth muscle cells.

Authors:  R E Law; S Goetze; X P Xi; S Jackson; Y Kawano; L Demer; M C Fishbein; W P Meehan; W A Hsueh
Journal:  Circulation       Date:  2000-03-21       Impact factor: 29.690

4.  A PPAR gamma-LXR-ABCA1 pathway in macrophages is involved in cholesterol efflux and atherogenesis.

Authors:  A Chawla; W A Boisvert; C H Lee; B A Laffitte; Y Barak; S B Joseph; D Liao; L Nagy; P A Edwards; L K Curtiss; R M Evans; P Tontonoz
Journal:  Mol Cell       Date:  2001-01       Impact factor: 17.970

5.  mPPAR gamma 2: tissue-specific regulator of an adipocyte enhancer.

Authors:  P Tontonoz; E Hu; R A Graves; A I Budavari; B M Spiegelman
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Authors:  Jui-Sheng Wu; Wai-Mui Cheung; Yau-Sheng Tsai; Yi-Tong Chen; Wen-Hsuan Fong; Hsin-Da Tsai; Yu-Chang Chen; Jun-Yang Liou; Song-Kun Shyue; Jin-Jer Chen; Y Eugene Chen; Nobuyo Maeda; Kenneth K Wu; Teng-Nan Lin
Journal:  Circulation       Date:  2009-02-16       Impact factor: 29.690

7.  Thiazolidinediones suppress endothelin-1 secretion from bovine vascular endothelial cells: a new possible role of PPARgamma on vascular endothelial function.

Authors:  H Satoh; K Tsukamoto; Y Hashimoto; N Hashimoto; M Togo; M Hara; H Maekawa; N Isoo; S Kimura; T Watanabe
Journal:  Biochem Biophys Res Commun       Date:  1999-01-27       Impact factor: 3.575

8.  A functional variant in the peroxisome proliferator-activated receptor gamma2 promoter is associated with predictors of obesity and type 2 diabetes in Pima Indians.

Authors:  Yunhua Li Muller; Clifton Bogardus; Brock A Beamer; Alan R Shuldiner; Leslie J Baier
Journal:  Diabetes       Date:  2003-07       Impact factor: 9.461

9.  Macrophages in human atheroma contain PPARgamma: differentiation-dependent peroxisomal proliferator-activated receptor gamma(PPARgamma) expression and reduction of MMP-9 activity through PPARgamma activation in mononuclear phagocytes in vitro.

Authors:  N Marx; G Sukhova; C Murphy; P Libby; J Plutzky
Journal:  Am J Pathol       Date:  1998-07       Impact factor: 4.307

10.  Stimulation of adipogenesis in fibroblasts by PPAR gamma 2, a lipid-activated transcription factor.

Authors:  P Tontonoz; E Hu; B M Spiegelman
Journal:  Cell       Date:  1994-12-30       Impact factor: 41.582

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