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. 2015 Feb 3;8(Suppl 3):35–42. doi: 10.4137/CMC.S17066

C-Reactive Protein and Cardiovascular Disease in East Asians: A Systematic Review

Isao Saito 1,, Koutatsu Maruyama 2, Eri Eguchi 3,4
PMCID: PMC4319655  PMID: 25698882

Abstract

Elevated C-reactive protein (CRP) levels are associated with an increased risk of cardiovascular disease (CVD) in Caucasians; however, evidence is lacking for East Asians, who have low CRP levels. PubMed and Google Scholar searches were conducted (1966 through September 2014), and eight prospective studies in East Asian countries (China, Hong Kong, Japan, Korea, Macao, Mongolia, and Taiwan) that documented risk ratios of elevated CRP for CVD were included for meta-analysis with random-effects models. The overall association between CRP levels and stroke was significant in six studies (risk ratio = 1.40 [95% confidence interval {CI}, 1.10–1.77], P = 0.008). The association with ischemic stroke was more evident in subgroup analyses. For coronary heart disease (CHD) and CVD, the risk ratio was 1.75 (95% CI, 0.96–3.19, P = 0.07) and 1.76 (95% CI, 1.29–2.40, P < 0.001), respectively. Although East Asians have low CRP levels, this meta-analysis shows that elevated CRP levels were significantly associated with an increased risk of stroke, primarily ischemic stroke.

Keywords: C-reactive protein, cardiovascular disease, East Asia, systematic review

Introduction

The inflammatory hypothesis states that endothelial cell damage promotes atherogenesis, linking the complex inflammatory process with cardiovascular events.1,2 Among several parameters of inflammation, C-reactive protein (CRP) measurements have great benefits from the viewpoints of cost and quality. Considerable evidences, including data from clinical intervention trials, also confirm that CRP measurements are useful for identifying individuals at high risk for cardiovascular disease (CVD).3,4

To date, a meta-analysis has documented strong evidence for adding CRP measurements to the measurement of traditional risk factors for predicting coronary heart disease (CHD). The prediction model that included CRP levels indicated a better fit in comparison with a common model using the Framingham risk score. A US clinical guideline concluded that CRP assessment was beneficial in a clinical setting for detecting high-risk individuals.3

Regardless of such a favorable recommendation, aggregated evidence is lacking for Asian individuals. In particular, East Asian populations have low levels of CRP and lower rates of CHD5,6 compared with Western populations.7 The meta-analysis included some Asian cohorts, but the overall analysis concealed the Asian characteristics when the data were pooled. The difference in CRP levels among varied ethnic groups was substantial; therefore, it may not be acceptable to apply the findings from most Western countries to Asian individuals.

Methods

Data sources and searches

We searched the PubMed database for prospective cohort studies of CRP and CVD between 1966 and September 2014 with the following MeSH terms: C-reactive protein, cohort studies, cardiovascular diseases, and Far East. Publications were limited to those written in English. We also examined recent articles published in 2014 from a search of Google Scholar (n = 270).

Study selection

Inclusion criteria for this analysis were as follows: (1) cohort study, including nested case–control study, (2) community-based study in East Asian countries (China, Hong Kong, Japan, Korea, Macao, Mongolia, and Taiwan), and (3) study to estimate the association between CRP and CVD outcomes in adults, defined as incidence or mortality with long-term follow-up. All studies were required to measure standardized CRP by immunoassay. We excluded studies carried out in clinical settings to evaluate the prognosis of diseases or the effect of medications and studies that were conducted with Asian immigrants in the US or other Western countries.

Data extraction and quality assessment

Three researchers evaluated articles in accordance with the inclusion criteria mentioned above. First, after skimming the title and abstract of articles retrieved from the database search, the researchers initially selected the primary articles. Second, potential articles for meta-analysis were retrieved on the basis of evaluation of the full text of the paper. Quality assessment was carried out based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.8 All the selected articles adequately defined outcomes and mentioned the study design, and each had a sufficient follow-up period.

Data synthesis and analysis

Most studies provided hazard ratios or odds ratios for stroke, CHD, and CVD outcomes grouped in accordance with tertiles, quartiles, or quintiles of CRP distribution after adjustment for established CVD risk factors. Although cut-off points differed among studies, we used the risk ratios published in the articles because they appeared to be similar among homogeneous Asian populations. When studies provided only sex-specific associations, we calculated summarized risk ratios that combined both sexes using the fixed-effect model in each study.

We calculated the I2 statistics to evaluate the statistical heterogeneity among the studies. We used random-effect meta-regression to evaluate the overall association between CRP and CVD and presented risk ratios and 95% confidence intervals (CIs) stratified by outcomes. The publication bias of selected articles was tested by using funnel plots and the Egger test. All analyses were conducted with Review Manager (RevMan) 5.0 software.

Results

Search results and study inclusion

Our searches retrieved 208 PubMed citations and 2 Google Scholar citations. In all, 22 of them met our inclusion criteria without duplicates (Fig. 1). We excluded 14 articles after a more detailed evaluation, and finally, 8 articles were acceptable for the meta-analysis.916

Figure 1.

Figure 1

Flow of study selection.

The remaining articles were excluded primarily because they described studies that were performed in a clinical setting (n = 91). The aim of studies was not different from this review purpose (n = 85). The study outcomes were not CVD onset or mortality, or the study design was cross-sectional (n = 12). Though two studies met the inclusion criteria, it was difficult to include them in the meta-analysis, because one was conducted only in men17 and another large population study used a different cut-off point for CRP compared with the other studies, and the distribution of CRP and the incidence of stroke were heterogeneous.18

Of the selected articles, 5 were about the Japanese, 1 about the Chinese, 1 about the Taiwanese, and 1 about the Korean population (Table 1). Of these studies, three provided sex-specific risk ratios for CVD, which were combined into a risk ratio for both sexes with a fixed-effects model.

Table 1.

A summary of studies in East Asian cohorts included in the analysis.

OUTCOME STUDY SURVEY YEAR, SAMPLE SIZE, LOCATION STUDY DESIGN CONTROLLED VARIABLES ENDPOINT RISK RATIOS AND 95% CIS
Stroke
Wakugawa et al, 200613 1988
n = 2,692
Japan
Cohort Age, SBP, ECG abnormalities, diabetes, BMI, TC, HDL, smoking, alcohol drinking, and physical activity. Incidence 3.11 (1.04–9.32) in men and 1.34 (0.61–2.91) in women for ischemic stroke; and 0.68 (0.21–2.26) and 1.74 (0.51–5.85) for hemorrhagic stroke, respectively, grouped in the highest vs the lowest quintiles.
Iso et al, 200911 1988–1990
n = 39,242
Japan
Nested Age, BMI, hypertension, hyperlipidemia, smoking, and drinking status. Mortality 1.60 (0.90–2.85) in men and 1.07 (0.58–1.97) in women for total stroke; 2.04 (0.95–4.37) and 1.00 (0.39–2.61) for ischemic stroke; and 1.85 (0.40–8.72) and 1.78 (0.61–5.22) for hemorrhagic stroke, respectively, grouped in the highest vs the lowest quartiles.
Jiang et al, 200916 1998–2001
n = 2,919
China
Cohort Age, sex, SBP, DBP, diabetes, TC, HDL, BMI, and smoking. Incidence 1.58 (1.08–2.31) of CRP >2.0 mg/dl for total stroke in both sexes.
Chen et al, 200915 1994–1995
n = 3,602
Taiwan
Nested Age, sex, waist circumference, TC, history of hypertension, history of diabetes. Incidence 2.63 (1.06–6.53) for total stroke in both sexes grouped in the highest vs the lowest tertiles.
Chei et al, 201110 1984–2001
n = 13,521
Japan
Nested Age, sex, community, SBP, antihypertensive medication, BMI, smoking, alcohol intake, TC, TG, and GLU Incidence 1.49 (0.93–2.41) for total stroke; 1.57 (0.85–2.91) for ischemic stroke; and 1.39 (0.60–3.19) for hemorrhagic stroke in both sexes grouped in the highest vs the lowest quintiles.
Iso et al, 201212 1990–1993
n = 29,876
Japan
Nested Age, sex, community, SBP, antihypertensive medication, BMI, smoking, alcohol intake, TC, lipid-lowering medication and GLU. Incidence 0.93 (0.71–1.23) for total stroke; 1.19 (0.82–1.73) for ischemic stroke; and 0.70 (0.46–1.04) for hemorrhagic stroke in both sexes, grouped in the highest vs the lowest quartiles.
Coronary heart disease
Arima et al, 20089 1988
n = 2,589
Japan
Cohort Age, sex, SBP, ECG abnormalities, diabetes, BMI, TC, HDL, smoking, alcohol intake, and regular exercise. Incidence 2.98 (1.53–5.82) in both sexes grouped in the highest vs the lowest quartiles.
Jiang et al, 200916 1998–2001
n = 2,919
China
Cohort the same as the above Incidence 1.13 (0.70–1.83) of CRP >2.0 mg/dl for coronary heart disease in both sexes.
Iso et al, 200911 1988–1990
n = 39,242
Japan
Nested the same as the above Mortality 3.68 (1.02–13.3) in men and 3.74 (0.91–15.3) in women grouped in the highest vs the lowest quartiles.
Iso et al, 201212 1990–1993
n = 29,876
Japan
Nested the same as the above Incidence 1.02 (0.58–1.72) in both sexes grouped in the highest vs the lowest quartiles.
Cardiovascular disease
Jiang et al, 200916 1998–2001
n = 2,919
China
Cohort Same as above Incidence 1.39 (1.04–1.87) of CRP >2.0 mg/dl for coronary heart disease in both sexes.
Iso et al, 200911 1988–1990
n = 39,242
Japan
Nested Same as above Mortality 2.31 (1.49–3.59) in men and 1.69 (1.06–2.68) in women grouped in the highest vs the lowest quartiles.
Sung et al, 201414 2002–2009
n = 268,803
Korea
Cohort Age, sex, BMI, smoking, alcohol intake, regular exercise, history of hypertension, history of diabetes, history of coronary heart disease, glucose, LDL, HDL, and SBP. Mortality 3.48 (1.71–7.10) in men and 0.92 (0.28–3.00) in women grouped in the highest vs the lowest quartiles.

CRP levels among populations

Figure 2 shows the CRP levels (median/geometric mean) among the populations we included for meta-analysis. Most median levels of CRP were very low (less than 1 mg/L).

Figure 2.

Figure 2

CRP levels among selected Asian studies.

CRP and CVDs outcomes

The overall association between elevated CRP levels and stroke was significant using the random-effects model with the six stroke studies (risk ratio = 1.39 [95% CI, 1.09–1.77], P = 0.008) (Fig. 3). We did not find significant heterogeneity of effect among the studies (I2 = 32%, P = 0.19). Only one study measured mortality as an outcome, but the association was unchanged if the study was excluded from the analysis. Regarding CHD, the random-effects association was not significant, with wide CIs, when including four studies (risk ratio = 1.75 [95% CI, 0.96–3.19], P = 0.07). There was significant heterogeneity of effect (I2 = 72%, P = 0.01). The risk ratio for CVD was 1.76 (95% CI, 1.29–2.40, P < 0.001), and we found no heterogeneity of effect (I2 = 49%, P = 0.14) among studies.

Figure 3.

Figure 3

Risk ratios for stroke, CHD, and CVD with increased CRP levels.

Of the six stroke studies, four studies that were carried out in Japan provided risk ratios by subtype of stroke (Fig. 4). The subgroup analysis revealed that the overall risk ratio of elevated CRP was increased primarily for ischemic stroke (risk ratio = 1.40 [95% CI, 1.08–1.81], P = 0.01) and was not increased for hemorrhagic stroke (risk ratio = 1.04 [95% CI, 0.66–1.65], P = 0.85), although the heterogeneity of their risk ratios was not significant (I2 = 16.9%, P = 0.27).

Figure 4.

Figure 4

Subgroup analysis according to stroke subtypes.

Discussion

Main findings

The meta-analysis confirmed that elevated CRP levels were significantly associated with an increased risk of stroke among East Asian populations, primarily for ischemic stroke. The association with CHD was likely to be the same, though the studies were few, and it did not reach a statistically significant level (P = 0.07). Despite lower average levels of CRP in Asians compared with Caucasians, individuals in the highest quartiles or quintiles of CRP were at increased risk of CVD.

Previous meta-analyses among US or European studies reported a strong association of elevated CRP levels with CHD, ischemic stroke, cardiovascular mortality, and death from cancer.4 The results of our systematic review were almost consistent with those in Caucasian populations.

Stroke is the most common disease among CVD events in Japan. It is well known that Japan is one of the countries with the highest stroke incidence, mainly because of hypertension and high salt intake, regardless of obesity.6 The explanations associated with frequent incident stroke and traditional risk factors and trends among Japanese adults have been reviewed elsewhere. Moreover, of the six studies we included in the present analysis, four showed risk ratios by stroke subtype, ie, ischemic stroke and hemorrhagic stroke. The association of CRP was more evident for ischemic stroke and was not apparent for hemorrhagic stroke. The findings implied that increased CRP levels are linked with atherosclerosis and thrombosis that are closely related to obesity and the metabolic syndrome.1

Ethnic differences in CRP levels and cut-off points

When compared with previous findings from various studies, the level of CRP in Asian populations was approximately one-third of the median value in Caucasians.5 As shown in Figure 2, it seemed to be true that East Asian individuals had low levels of CRP, and that in most populations, the levels were less than 1 mg/L. CRP levels varied among East Asian populations and were relatively higher in Chinese individuals compared with Korean and Japanese individuals. Some polymorphisms were reported to determine the CRP concentrations in the Chinese population19,20; however, it was unclear why CRP concentrations were higher in Chinese individuals. Although CRP levels in Chinese individuals were still low when compared with those in Caucasians, the heterogeneity among Far East countries might be caused by factors related to genetics, lifestyle, or environmental conditions.

The majority of studies in Western countries reported CRP average levels more than 1 mg/L, and the levels varied greatly among ethnic groups. For example, the Women’s Health Study reported that median CRP values in black women (2.96 mg/L) were significantly higher than in Hispanics (2.06 mg/L), whites (2.02 mg/L), and Asians (1.12 mg/L) in the US.21 The Dallas Heart Study also pointed out significant race and gender differences in the population distribution of CRP levels, with the highest median values in black women (3.5 mg/L).22

The Asian studies in the present meta-analysis set up quartile or quintile levels of CRP as cut-off points to evaluate risk ratios for CVD, corresponding with approximately 1 mg/L of CRP. This implied that CRP levels >1.0 mg/L were associated with an increased risk of CVD in the Asian population.18

The Multiethnic Study of Atherosclerosis (MESA) study investigated CRP levels across four ethnic groups living in the US.23 In that study, the median CRP levels of Chinese men and women were 0.80 and 0.99 mg/L, respectively, which were roughly consistent with the baseline data we found in the present study. This fact indicated that CRP levels in Asians who live in the Far East might be essentially equal to those in Asians who live in the US. Therefore, CRP levels were greatly influenced by ethnic background, and the cut-off points to detect high-risk individuals should be considered based on ethnicity.

Potential mechanism

It was established that CRP levels were closely related to obesity in various populations.24,25 This may to a large extent explain the fact that CRP levels in Asians with higher BMI levels were very low in comparison with Caucasians with higher BMI levels. It is considered that adipose tissue in obesity overproduces proinflammatory cytokines, such as tissue necrosis factor (TNF)-α and interleukin (IL)-6, which stimulate hepatic CRP production. Furthermore, TNF-α in adipose tissue also inhibits insulin-stimulated autophosphorylation of the insulin receptor and causes insulin resistance.26 Ouchi et al suggested a mechanism by showing that CRP mRNA is expressed in adipose tissue and is inversely related to adiponectin mRNA expression.27 These mechanisms potentially connect obesity with increased CRP concentrations.

Recently, several genomic variants that reflected CRP concentrations were studied across ethnic groups.28,29 The contributions of these genetic variants were not large enough to explain the entire difference thus far, but low CRP concentrations in Asia may be in part a result of the genetic variants.30

Limitations

Although this systematic review demonstrated a significant association between CRP levels and CVD in Asians, several limitations should be noted. First, we cannot exclude a publication bias, because the funnel plot was asymmetrical and cohort studies in Asians were very limited. In particular, evidence was very scant to determine an association with CHD events. Second, the risk ratios in each study were calculated with different cut-off points, which might cause bias in estimating the true risk ratio of elevated CRP. Pooled analysis is potentially essential to determine the cut-off point of CRP for CVD prevention. Third, we did not find a sex-specific effect of CRP, because data were not available to find it in this analysis. Some studies documented a difference in the effect between men and women, and the accumulation of further evidence is desired to look at sex differences. Fourth, although risk ratios derived from various cohort studies were adjusted for established CVD risk factors, we will have to investigate whether adding the measurement of CRP levels is valuable in Asians compared with the established prediction models.31

Conclusion

Although East Asian adults had very low levels of CRP, a meta-analysis confirmed that elevated CRP levels were significantly associated with an increased risk of stroke, primarily ischemic stroke.

Although it is unclear whether adding CRP measurements to the measurements of traditional risk factors for predicting CHD is beneficial for Asian individuals, original evidence is urgently needed.

Footnotes

Author Contributions

Conceived and designed the experiments: IS. Analyzed the data: KM, EE. Wrote the first draft of the manuscript: IS. Contributed to the writing of the manuscript: IS, KM, EE. Agree with manuscript results and conclusions: IS, KM, EE. Jointly developed the structure and arguments for the paper: IS, KM, EE. Made critical revisions and approved final version: IS. All authors reviewed and approved of the final manuscript.

ACADEMIC EDITOR: Thomas E. Vanhecke, Editor in Chief

FUNDING: This study was supported by a grant-in-aid from the Ministry of Health, Labor and Welfare, Health and Labor Sciences Research Grants, Japan (H22-Junkankitou [Seishuu]-Ippan-005 Ippan-005). The authors confirm that the funder had no influence over the study design, content of the article, or selection of this journal.

COMPETING INTERESTS: Authors disclose no potential conflicts of interest.

Paper subject to independent expert blind peer review by minimum of two reviewers. All editorial decisions made by independent academic editor. Upon submission manuscript was subject to anti-plagiarism scanning. Prior to publication all authors have given signed confirmation of agreement to article publication and compliance with all applicable ethical and legal requirements, including the accuracy of author and contributor information, disclosure of competing interests and funding sources, compliance with ethical requirements relating to human and animal study participants, and compliance with any copyright requirements of third parties. This journal is a member of the Committee on Publication Ethics (COPE).

REFERENCES

  • 1.Ross R. Atherosclerosis – an inflammatory disease. N Engl J Med. 1999;340:115–26. doi: 10.1056/NEJM199901143400207. [DOI] [PubMed] [Google Scholar]
  • 2.Ridker PM, Hennekens CH, Buring JE, Rifai N. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000;342:836–43. doi: 10.1056/NEJM200003233421202. [DOI] [PubMed] [Google Scholar]
  • 3.Buckley DI, Fu R, Freeman M, Rogers K, Helfand M. C-reactive protein as a risk factor for coronary heart disease: a systematic review and meta-analyses for the U.S. Preventive Services Task Force. Ann Intern Med. 2009;151:483–95. doi: 10.7326/0003-4819-151-7-200910060-00009. [DOI] [PubMed] [Google Scholar]
  • 4.Kaptoge S, Di Angelantonio E, Lowe G, et al. Emerging Risk Factors Collaboration. C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. Lancet. 2010;375:132–40. doi: 10.1016/S0140-6736(09)61717-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Saito I, Sato S, Nakamura M, et al. A low level of C-reactive protein in Japanese adults and its association with cardiovascular risk factors: the Japan NCVC- Collaborative Inflammation Cohort (JNIC) study. Atherosclerosis. 2007;194:238–44. doi: 10.1016/j.atherosclerosis.2006.07.032. [DOI] [PubMed] [Google Scholar]
  • 6.Saito I. Epidemiological evidence of type 2 diabetes mellitus, metabolic syndrome, and cardiovascular disease in Japan. Circ J. 2012;76:1066–73. doi: 10.1253/circj.cj-11-1519. [DOI] [PubMed] [Google Scholar]
  • 7.Kaptoge S, Di Angelantonio E, Pennells L, et al. Emerging Risk Factors Collaboration. C-reactive protein, fibrinogen, and cardiovascular disease prediction. N Engl J Med. 2012;367:1310–20. doi: 10.1056/NEJMoa1107477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.von Elm E, Altman DG, Egger M, et al. STROBE Initiative The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–7. doi: 10.1016/S0140-6736(07)61602-X. [DOI] [PubMed] [Google Scholar]
  • 9.Arima H, Kubo M, Yonemoto K, et al. High-sensitivity C-reactive protein and coronary heart disease in a general population of Japanese: the Hisayama study. Arterioscler Thromb Vasc Biol. 2008;28:1385–91. doi: 10.1161/ATVBAHA.107.157164. [DOI] [PubMed] [Google Scholar]
  • 10.Chei CL, Yamagishi K, Kitamura A, et al. C-reactive protein levels and risk of stroke and its subtype in Japanese: the circulatory risk in communities study (CIRCS) Atherosclerosis. 2011;217:187–93. doi: 10.1016/j.atherosclerosis.2011.03.001. [DOI] [PubMed] [Google Scholar]
  • 11.Iso H, Cui R, Date C, Kikuchi S, Tamakoshi A, Group JS. C-reactive protein levels and risk of mortality from cardiovascular disease in Japanese: the JACC Study. Atherosclerosis. 2009;207:291–7. doi: 10.1016/j.atherosclerosis.2009.04.020. [DOI] [PubMed] [Google Scholar]
  • 12.Iso H, Noda H, Ikeda A, et al. The impact of C-reactive protein on risk of stroke, stroke subtypes, and ischemic heart disease in middle-aged Japanese: the Japan public health center-based study. J Atheroscler Thromb. 2012;19:756–66. [PubMed] [Google Scholar]
  • 13.Wakugawa Y, Kiyohara Y, Tanizaki Y, et al. C-reactive protein and risk of first-ever ischemic and hemorrhagic stroke in a general Japanese population: the Hisayama Study. Stroke. 2006;37:27–32. doi: 10.1161/01.STR.0000194958.88216.87. [DOI] [PubMed] [Google Scholar]
  • 14.Sung KC, Ryu S, Chang Y, Byrne CD, Kim SH. C-reactive protein and risk of cardiovascular and all-cause mortality in 268 803 East Asians. Eur Heart J. 2014;35:1809–16. doi: 10.1093/eurheartj/ehu059. [DOI] [PubMed] [Google Scholar]
  • 15.Chen PC, Chien KL, Hsu HC, Su TC, Sung FC, Lee YT. Metabolic syndrome and C-reactive protein in stroke prediction: a prospective study in Taiwan. Metabolism. 2009;58:772–8. doi: 10.1016/j.metabol.2009.01.006. [DOI] [PubMed] [Google Scholar]
  • 16.Jiang S, Bao Y, Hou X, et al. Serum C-reactive protein and risk of cardiovascular events in middle-aged and older Chinese population. Am J Cardiol. 2009;103:1727–31. doi: 10.1016/j.amjcard.2009.02.028. [DOI] [PubMed] [Google Scholar]
  • 17.Makita S, Nakamura M, Satoh K, et al. Serum C-reactive protein levels can be used to predict future ischemic stroke and mortality in Japanese men from the general population. Atherosclerosis. 2009;204:234–8. doi: 10.1016/j.atherosclerosis.2008.07.040. [DOI] [PubMed] [Google Scholar]
  • 18.Liu Y, Wang J, Zhang L, et al. Relationship between C – reactive protein and stroke: a large prospective community based study. PLoS One. 2014;9:e107017. doi: 10.1371/journal.pone.0107017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Hsu LA, Ko YL, Teng MS, et al. Effect of obesity on the association between common variations in the HNF1 A gene region and C-reactive protein level in Taiwanese. Clin Chim Acta. 2011;412:725–9. doi: 10.1016/j.cca.2010.12.027. [DOI] [PubMed] [Google Scholar]
  • 20.Gu SJ, Chen DH, Guo ZR, Zhou ZY, Hu XS, Wu M. Effect of obesity on the association between common variations in the PPAR gene and C-reactive protein level in Chinese Han population. Endocrine. 2014 doi: 10.1007/s12020-014-0218-x. [DOI] [PubMed] [Google Scholar]
  • 21.Albert MA, Glynn RJ, Buring J, Ridker PM. C-reactive protein levels among women of various ethnic groups living in the United States (from the Women’s Health Study) Am J Cardiol. 2004;93:1238–42. doi: 10.1016/j.amjcard.2004.01.067. [DOI] [PubMed] [Google Scholar]
  • 22.Khera A, McGuire DK, Murphy SA, et al. Race and gender differences in C-reactive protein levels. J Am Coll Cardiol. 2005;46:464–9. doi: 10.1016/j.jacc.2005.04.051. [DOI] [PubMed] [Google Scholar]
  • 23.Lakoski SG, Cushman M, Criqui M, et al. Gender and C-reactive protein: data from the Multiethnic Study of Atherosclerosis (MESA) cohort. Am Heart J. 2006;152:593–8. doi: 10.1016/j.ahj.2006.02.015. [DOI] [PubMed] [Google Scholar]
  • 24.Choi J, Joseph L, Pilote L. Obesity and C-reactive protein in various populations: a systematic review and meta-analysis. Obes Rev. 2013;14:232–44. doi: 10.1111/obr.12003. [DOI] [PubMed] [Google Scholar]
  • 25.Gupta NK, de Lemos JA, Ayers CR, Abdullah SM, McGuire DK, Khera A. The relationship between C-reactive protein and atherosclerosis differs on the basis of body mass index: the Dallas Heart Study. J Am Coll Cardiol. 2012;60:1148–55. doi: 10.1016/j.jacc.2012.04.050. [DOI] [PubMed] [Google Scholar]
  • 26.Hotamisligil GS, Arner P, Caro JF, Atkinson RL, Spiegelman BM. Increased adipose tissue expression of tumor necrosis factor-alpha in human obesity and insulin resistance. J Clin Invest. 1995;95:2409–15. doi: 10.1172/JCI117936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ouchi N, Kihara S, Funahashi T, et al. Reciprocal association of C-reactive protein with adiponectin in blood stream and adipose tissue. Circulation. 2003;107:671–4. doi: 10.1161/01.cir.0000055188.83694.b3. [DOI] [PubMed] [Google Scholar]
  • 28.Dehghan A, Dupuis J, Barbalic M, et al. Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels. Circulation. 2011;123:731–8. doi: 10.1161/CIRCULATIONAHA.110.948570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ellis J, Lange EM, Li J, et al. Large multiethnic candidate gene study for C-reactive protein levels: identification of a novel association at CD36 in African Americans. Hum Genet. 2014;133:985–95. doi: 10.1007/s00439-014-1439-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Dorajoo R, Li R, Ikram MK, et al. Are C-reactive protein associated genetic variants associated with serum levels and retinal markers of microvascular pathology in Asian populations from Singapore? PLoS One. 2013;8:e67650. doi: 10.1371/journal.pone.0067650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Yatsuya H, Iso H, Yamagishi K, et al. Development of a point-based prediction model for the incidence of total stroke: Japan public health center study. Stroke. 2013;44:1295–302. doi: 10.1161/STROKEAHA.111.677534. [DOI] [PubMed] [Google Scholar]

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