Abstract
To investigate the risk factors for acute ischemic stroke (AIS) in patients with type 2 diabetes mellitus (T2DM) patients. a total of 120 T2DM patients who met the inclusion and exclusion criteria, from between January 2021 to June 2022, were randomly selected and divided into T2DM and T2DM + AIS groups based on the presence or absence of a history of AIS. Blood samples were collected by fasting, 24 hours after admission, and levels of serum uric acid (UA), serum homocysteine (Hcy), serum creatinine (SCR), blood urea nitrogen (BUN), fasting blood glucose (FBG), glycated hemoglobin A1c (HbA1c), serum total cholesterol (TC), high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, high-sensitivity C-reactive protein (hs-CRP), and lipoprotein-associated phospholipase A2 (Lp-PLA2) were measured. Multivariate logistic regression analysis was performed for the significantly associated indicators to analyze the risk factors for AIS, and finally ROC curve analysis was carried out to explore the predictive value of the above risk factors for AIS in T2DM patients. the levels of FBG, Hcy, Hs-CRP and Lp-PLA2 were significantly higher in the T2DM + AIS group than those in T2DM group (P < .05). Multivariate logistic regression analysis revealed that hs-CRP and Lp-PLA2 were independent risk factors for the development of AIS in patients with T2DM with an OR of 2.85 (95% CI: 1.26–6.43, P = .012) and 3.64 (95% CI: 1.63–8.12, P = .002), respectively. ROC curve analysis showed that plasma hs-CRP and Lp-PLA2 showed good performance to predict AIS occurrence in T2DM patients (AUC = 0.749, 95% CI: 0.663, 0.835; and 0.791, 95% CI: 0.712, 0.870), with a sensitivity of 58.1% and 83.9%, and a specificity of 84.5% and 60.3%, respectively. The optimal concentration cutoff points of hs-CRP and Lp-PLA2 were 3.38 mg/L and 204.2 ng/mL. our findings suggested that plasma hs-CRP and Lp-PLA2 were independent risk factors for developing AIS in T2DM patients. Hs-CRP and Lp-PLA2 are potential biomarker for risk for AIS in patients with T2DM.
Keywords: acute ischemic stroke, high-sensitivity C-reactive protein, lipoprotein-associated phospholipase A2, type 2 diabetes mellitus
1. Introduction
Ischemic stroke (IS), one of the major causes of mortality and adult disability worldwide, comprised more than 80% of stroke cases.[1] Patients with type 2 diabetes mellitus (T2DM) have a notably higher risk to occur an ischemic stroke than those without T2DM,[1] and T2DM is a recognized risk factor ischemic stroke beyond conventional risk factors,[2] such as blood pressure, smoking habits, hypertension, and hyperlipidemia.[3] Controlling diabetes is extremely critical to reduce the risk and severity of the first-time stroke, as diabetic patients with optimal glycemic control suffering from recurrent stroke at a much lower risk.[4] Inflammation plays an important role in the development of atherosclerosis and IS.[5] Elevated inflammation could increase stroke risk and is an important contributor to poor stroke outcome in patients with diabetes.[4] C-reactive protein (CRP), a homopentameric acute-phase inflammatory protein,[6] is considered as an indicator of inflammation and atherosclerosis. A high-level CRP determined by high-sensitivity CRP (hs-CRP), has been suggested as a risk factor for occurrence and poor functional outcome of IS.[7–9]
Lipoprotein-associated phospholipase A2 (Lp-PLA2), also known as platelet-activating factor acetylhydrolase, is a calcium-independent phospholipase A2 secreted by leukocytes.[10] Lp-PLA2 is a proinflammatory enzyme that act as a risk factor for atherosclerosis, which is the most common cause of stroke.[11] Moreover, some studies have indicated that both Lp-PLA2 level and activity were higher in T2DM patients than those in individuals without diabetes[12] and that an elevated Lp-PLA2 mass is associated with poor control of diabetic patients.[13] We aimed to evaluate the risk factors associated with inflammation for acute ischemic stroke (AIS) in patients with T2DM, in order to provide the basis for the prevention and treatment of stroke in patients with diabetes.
2. Materials and methods
2.1. Study populations
A total of 120 patients with T2DM, who attended in Beijing Hepingli Hospital between January 2021 to June 2022, were enrolled in this study, and were divided into AIS + T2DM group (n = 62) and T2DM group (n = 58) based on the presence or absence of a history of acute ischemic stroke (AIS). The diagnosis of T2DM was according to the criteria in the 2010 American Diabetes Association Classification: FPG ≥ 7.0 mmol/l or 2 hours post glucose load ≥ 11.1 mmol/L, or HbA1c level of ≥ 6.5%; under diabetes medication.[14] Exclusion criteria included brain surgery, AIS caused by surgery or trauma, hemorrhagic stroke, cancerous diseases, autoimmune diseases and serious infection. Diagnostic criteria for AIS included[15,16]: Presenting with acute onset; Clinical signs or symptoms persisted for more than a few hours; Symptoms of complete or focal neurological impairment existed; Confirmed by computed tomography scan or magnetic resonance imaging after admitted to hospital within 48 hours from onset.
Treatments included: All T2DM patients received basic hypoglycemic treatment, according to Guidelines for the Prevention and Control of Type 2 Diabetes in China (2017 Edition). Treatments of patients with AIS were based on the Chinese Guidelines for Diagnosis and Treatment of Acute Ischemic Stroke 2018.
This study was approved by Ethics Committee of Beijing Hepingli Hospital (No. 2020-2-2241). Written informed consents were obtained from all participates before the study began. All the procedures in this study were performed in accordance with Declaration of Helsinki Ethical Principles.
2.2. Biochemical measurements
Patients’ venous blood samples were obtained from the antecubital vein after fasting for at least 10 hours within the first 24 hours of admission, and were centrifuged at 1,000 g for 10 minutes to obtain serum and plasma. Serum total cholesterol (TC), triglyceride, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol, UA and Hcy levels were measured by using the AU5800 automated biochemical analyzer (Beckman Coulter, CA, USA) combined with corresponding kits. FBG level was determined by glucose oxidase method. The high-performance liquid chromatography was used to measure HbA1C level. SCr and BUN levels were measured on a VITROS 5600 Integrated System (Ortho-Clinical Diagnostics) using corresponding kits following the manufacturer instructions. The quantitative measurement of Lp-PLA2 in plasma was detected using an enzyme-linked immunosorbent assay (ELISA) kit (Abcam, USA), which has a detection range between 0.16 ng/mL and 10 ng/mL. The OD value at 450 nm was recorded by an enzyme analyzer. Plasma hs-CRP was measured by a latex turbidimetric immunoassay kit (Medical System Biotechnology Co., Ltd., Ningbo, China).
2.3. Statistical analysis
Statistical analysis was performed using SPSS20.0 (IBM, Chicago, IL, USA) and GraphPad Prism 9 (GraphPad Software, San Diego, CA, USA). Categorical variables were presented as the frequencies with percentages. Continuous variables with a gaussian distribution were expressed as the mean ± standard deviation (SD); skewed distributed continuous variables were presented as the median with interquartile range. Continuous variables were analyzed using the Student t test or Mann-Whitney U-test, as appropriate. Categorical data were analyzed by the Chi-square test or Fisher exact test to assess intergroup differences. Multivariate logistic regression analysis was conducted to investigate risk factors for AIS in T2DM patients, and the odds ratios (ORs) with 95% confidence intervals (CIs) were presented. The receiving-operating characteristic (ROC) curve analysis and the area under curve (AUC) were used to evaluate the diagnostic accuracy of hs-CRP and Lp-PLA2 on AIS in T2DM patients. The cutoff values for each risk factor in AIS diagnosis was determined using the Youden method, selecting the cut point at which Youden index (sensitivity + specificity - 1) is maximized. P value < .05 was considered to be statistically significant.
3. Results
3.1. Comparison of demographic data, clinical characteristics and biochemical features between T2DM group and T2DM + AIS group
The demographic data, clinical characteristics and biochemical features were summarized in Tables 1 and 2. Overall, There were no statistic differences in sex, age, body mass index, T2DM duration, SBP, DBP, the rate of smoking, drinking, hypertension, and coronary artery disease between T2DM group and T2DM + AIS group. Similarly, no statistical difference in the levels of HbA1c, triglyceride, TC, LDL-L, HDL-L, UA, SCr and BUN was found between 2 groups. However, the levels of FBG, Hcy, Hs-CRP and Lp-PLA2 were significantly higher in the T2DM + AIS group than those in T2DM group (P < .05).
Table 1.
Demographic and clinical characteristics between T2DM group and T2DM + AIS group.
T2DM, n = 58 | AIS + T2DM, n = 62 | P | |
---|---|---|---|
Male, n (%) | 31, 53.45% | 32, 51.61% | .841 |
Age, yr | 62.83 ± 7.52 | 62.87 ± 8.02 | .976 |
BMI, kg/m2 | 24.59 ± 2.07 | 24.50 ± 1.79 | .797 |
T2DM duration, yr | 13.94 ± 3.04 | 14.39 ± 3.09 | .426 |
Hypertension, n (%) | 34, 58.62% | 41, 66.13% | .396 |
SBP, mm Hg | 139.3 ± 8.32 | 142.4 ± 13.04 | .129 |
DBP, mm Hg | 82.12 ± 7.77 | 84.69 ± 9.45 | .107 |
Smoking, n (%) | 30, 51.72% | 31, 50.00% | .850 |
Drinking, n (%) | 25, 43.10% | 32, 51.61% | .351 |
Coronary artery disease, n (%) | 34, 58.62% | 34, 54.84% | .676 |
AIS = acute ischemic stroke, BMI = body mass index, T2DM = type 2 diabetes mellitus.
Table 2.
Biochemical criterion between T2DM group and T2DM + AIS group.
T2DM, n = 58 | T2DM + AIS, n = 52 | P | |
---|---|---|---|
HbA1c, % | 9.10 ± 0.95 | 9.25 ± 1.29 | .456 |
FBG, mmol/L | 5.77 ± 0.88 | 6.55 ± 1.38 | .0003 |
TG, mmol/L | 1.6 ± 0.28 | 1.66 ± 0.25 | .244 |
TC, mmol/L | 4.53 ± 0.53 | 4.62 ± 0.46 | .312 |
LDL-C, mmol/L | 2.6 ± 0.38 | 2.48 ± 0.37 | .080 |
HDL-C, mmol/L | 0.91 ± 0.09 | 0.93 ± 0.08 | .265 |
UA, μmol/L | 323.8 ± 40.0 | 327.9 ± 40.3 | .489 |
SCr, μmol/L | 79.00 (64.53, 95.48) | 82.20 (68.80, 101.7) | .505 |
Hcy, μmol/L | 12.69 ± 3.37 | 15.15 ± 4.87 | .002 |
BUN, mmol/L | 6.26 ± 0.85 | 6.48 ± 0.73 | .121 |
hs-CRP, mg/L | 2.37 ± 1.01 | 3.57 ± 1.40 | <.0001 |
Lp-PLA2, ng/mL | 194.9 ± 47.1 | 252.6 ± 50.1 | <.0001 |
AIS = acute ischemic stroke, HDL-C = high-density lipoprotein cholesterol, hs-CRP = high-sensitivity CRP, LDL-C = low-density lipoprotein cholesterol, Lp-PLA2 = lipoprotein-associated phospholipase A2, T2DM = type 2 diabetes mellitus, TC = serum total cholesterol, TG = triglyceride.
3.2. Risk factor for acute ischemic stroke in T2DM patients
Based on the results of univariate analysis, we carried out multivariate logistic regression analysis to identify independent risk factors for AIS occurrence in T2DM. As shown in Table 3, hs-CRP and Lp-PLA2 were independent risk factors for the development of AIS in patients with T2DM with an OR of 2.85 (95% CI: 1.26–6.43, P = .012) and 3.64 (95% CI: 1.63–8.12, P = .002), respectively.
Table 3.
Multivariate analysis of biochemical criterion affecting recurrence of acute ischemic stroke in AIS + T2DM patients.
B | S.E. | Wals | P | Exp (B) | 95%CI | |
---|---|---|---|---|---|---|
hs-CRP | 1.047 | 0.416 | 6.344 | .012 | 2.848 | 1.261, 6.430 |
Lp-PLA2 | 1.291 | 0.410 | 9.906 | .002 | 3.635 | 1.627, 8.121 |
AIS = acute ischemic stroke, CIs = confidence intervals, hs-CRP = high-sensitivity CRP, Lp-PLA2 = lipoprotein-associated phospholipase A2, T2DM = type 2 diabetes mellitus.
3.3. Predictive value of risk factors for AIS onset in T2DM patients
ROC curve analysis was performed to assess the predictive value of hs-CRP and Lp-PLA2 in differentiating AIS onset from T2DM patients (Fig. 1). Plasma hs-CRP and Lp-PLA2 showed good performance to predict AIS occurrence in T2DM patients (AUC = 0.749, 95% CI: 0.663, 0.835; and 0.791, 95% CI: 0.712, 0.870), with a sensitivity of 58.1% and 83.9%, and a specificity of 84.5% and 60.3%, respectively. The optimal concentration cutoff points of hs-CRP and Lp-PLA2 were 3.38 mg/L and 204.2 ng/mL (Table 4).
Figure 1.
ROC (receiver operating characteristics) curve analysis for plasma hs-CRP and Lp-PLA2 to assess their diagnostic values for AIS in patients with T2DM. AIS = acute ischemic stroke, hs-CRP = high-sensitivity CRP, Lp-PLA2 = lipoprotein-associated phospholipase A2, ROC = receiving-operating characteristic, T2DM = type 2 diabetes mellitus.
Table 4.
ROC curve analysis of the diagnostic value of each risk factor.
Cutoff value | AUC (95% CI) | Sensitivity | Specificity | Youden index | |
---|---|---|---|---|---|
hs-CRP | 3.38 | 0.749 (0.663, 0.835) | 0.581 | 0.845 | 0.425 |
Lp-PLA2 | 204.2 | 0.791 (0.712, 0.870) | 0.839 | 0.603 | 0.442 |
AUC = area under curve, CIs = confidence intervals, hs-CRP = high-sensitivity CRP, Lp-PLA2 = lipoprotein-associated phospholipase A2, ROC = receiving-operating characteristic,
4. Discussion
Some studies demonstrated that T2DM could elevate the risk of developing AIS compared with patients without T2DM.[17,18] Thus, it is important to investigate the potential risk factors for AIS among T2DM patients. In the present study, we observed that FBG, Hcy, hs-CRP and Lp-PLA2 were significantly higher in the T2DM + AIS group than those in T2DM group. We also found that plasma hs-CRP and Lp-PLA2 were independent risk factors for developing AIS in T2DM patients. The ROC curve suggested that plasma hs-CRP and Lp-PLA2 levels had good diagnostic performance for AIS in T2DM patients.
Both hs-CRP and Lp-PLA2 are well-verified risk factors for stroke in general population. Hs-CRP was associated with increased risk of recurrent stroke and poor functional outcome.[19,20] Most previous studies had indicated that an increased hs-CRP level was related to an increased risk of ischemic strokes in general population.[8,21,22] A meta-analysis provided evidence that elevated levels of hs-CRP were associated with ischemic but not hemorrhagic stroke.[8] These findings suggested an essential relationship between hs-CRP level and ischemic stroke. However, there are very few studies focus on the risk of plasma hs-CRP levels and stroke in type 2 diabetic patients. For example, Anne Gedebjerg et al has reported that high (>3 mg/L) hs-CRP was associated with increased cardiovascular events risk (aHR 1.45, 95% CI: 1.07–1.96) and with even greater risk of all-cause mortality (2.47, 1.88–3.25) when compared with patients with low (<1 mg/L) hs-CRP.[23] Katarzyna Krzyzanowska et al also reported that T2DM patients with baseline CRP in the highest tertile (>6.0 mg/L) had a significantly increased hazard ratio for incident cardiovascular events compared with those with CRP in tertile 1 (≤2.0 mg/L; HR, 3.63, 95% CI: 1.59–8.28, P = .002).[24] These findings were partially in accordance with our findings that elevated plasma hs-CRP level was an independent risk factor for AIS in T2DM patients. The mechanism underlying the positive relationship between increased hs-CRP level and higher ischemic stroke risk is not yet established. It might be that atherosclerosis is the most common underlying cause of ischemic stroke, whereas a chronic inflammatory response is directly involved in the development of atherosclerosis.[25,26] Hs-CRP is a systemic inflammation marker, whose level is associated with the progression of atherosclerosis.
Plasma Lp-PLA2 concentration was independently associated with the development of AIS in patients with atrial fibrillation. Lp-PLA2 is a potential biomarker for stratifying AIS in patients with atrial fibrillation.[27] A meta-analysis reported that higher Lp-PLA2 level may be independently associated with an increased risk of coronary heart disease and IS in the general population.[28] High serum Lp-PLA2 level was the independent risk factor for AIS with the adjusted OR of 1.057 (95% CI:1.040–1.075, P = .001).[29] In addition, they found that the AUC was 0.892 (P < .05, 95% CI: 0.856–0.929), with the sensitivity and specificity of 74.5 and 86.7%, respectively, for the diagnosis of AIS using Lp-PLA2, and the cutoff value was 123.365 ng/mL. These findings suggested a potential relationship between Lp-PLA2 level and AIS. However, little attention was paid to the relationship between plasma Lp-PLA2 levels and AIS risk in type 2 diabetic patients. Only a few studies showed that Lp-PLA2 was significantly associated with risk and outcome of cardiovascular diseases in diabetic patients.[30,31] The present study for the first time to demonstrate that plasma Lp-PLA2 level was an independent risk factor for developing AIS in T2DM patients, and plasma Lp-PLA2 showed good performance to predict AIS occurrence in T2DM patients with AUC of 0.791 (95% CI: 0.712, 0.870), and a sensitivity and specificity of 83.9% and 60.3%, respectively. Mechanistically, the association between inflammation and T2DM has previously been well elucidated. Inflammatory biomarkers such as CRP, tumor necrosis factor α, IL-6 and inflammasome were found to be significantly higher in patients with T2DM than in healthy subjects. Lys-phosphatidylcholine generated by Lp-PLA2 hydrolysis of oxidized phospholipids and the accumulation of platelet-activating factor in adipose tissue could aggravate insulin resistance.[32,33] Insulin resistance is an independent risk factor for ischemic stroke and negatively influences the prognosis of patients with ischemic stroke,[34] thus high Lp-PLA2 level may be a promoter of ischemic stroke.
Some limitations of this study should be realized. Firstly, the present study was a single center trial, the sample size was relatively small, and the participants may not be representative of patients in other places of China. Thus, multicenter, large-sample studies will be needed to verify the findings of the present study. Secondly, the hs-CRP and Lp-PLA2 levels in AIS + T2DM patients were measured only after the onset of stroke, thus may be influenced by the disease itself. A prospective study will be needed to obtain pre-stroke hs-CRP Lp-PLA2 levels in all participants.
In conclusion, our findings suggested that plasma hs-CRP and Lp-PLA2 were independent risk factors for developing AIS in T2DM patients. Hs-CRP and Lp-PLA2 are potential biomarker for risk for AIS in patients with T2DM.
Author contributions
Conceptualization: Jingfeng Liu.
Data curation: Jingfeng Liu.
Formal analysis: Jingfeng Liu.
Investigation: Xing Li.
Methodology: Xing Li.
Resources: Xing Li, Ji Qu.
Software: Ji Qu.
Writing – original draft: Jingfeng Liu.
Writing – review & editing: Jingfeng Liu.
Abbreviations:
- AIS
- acute ischemic stroke
- AUC
- area under curve
- CIs
- confidence intervals
- CRP
- C-reactive protein
- hs-CRP
- high-sensitivity CRP
- IS
- ischemic stroke
- Lp-PLA2
- lipoprotein-associated phospholipase A2
- ROC
- receiving-operating characteristic
- T2DM
- type 2 diabetes mellitus
- TC
- serum total cholesterol
- TG
- triglyceride
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
The authors have no conflicts of interest to disclose.
How to cite this article: Liu J, Li X, Qu J. Risk factors for acute ischemic stroke in patients with type 2 diabetes mellitus. Medicine 2023;102:47(e36114).
Contributor Information
Xing Li, Email: lixhplh@sina.com.
Ji Qu, Email: qji1984@163.com.
References
- [1].Sarwar N, Gao P, Kondapally Seshasai SR, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375:2215–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Meschia JF, Bushnell C, Boden-Albala B, et al. Guidelines for the primary prevention of stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45:3754–832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Barthels D, Das H. Current advances in ischemic stroke research and therapies. Biochim Biophys Acta Mol Basis Dis. 2020;1866:165260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Krinock MJ, Singhal NS. Diabetes, stroke, and neuroresilience: looking beyond hyperglycemia. Ann N Y Acad Sci. 2021;1495:78–98. [DOI] [PubMed] [Google Scholar]
- [5].Libby P. Inflammation in atherosclerosis. Nature. 2002;420:868–74. [DOI] [PubMed] [Google Scholar]
- [6].Sproston NR, Ashworth JJ. Role of C-reactive protein at sites of inflammation and infection. Front Immunol. 2018;9:754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Yang Y, Zhu L, Zhang B, et al. Higher levels of C-reactive protein in the acute phase of stroke indicate an increased risk for post-stroke depression: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2022;134:104309. [DOI] [PubMed] [Google Scholar]
- [8].Zhou Y, Han W, Gong D, et al. Hs-CRP in stroke: a meta-analysis. Clin Chim Acta. 2016;453:21–7. [DOI] [PubMed] [Google Scholar]
- [9].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] [PMC free article] [PubMed] [Google Scholar]
- [10].Wilensky RL, Shi Y, Mohler ER, et al. Inhibition of lipoprotein-associated phospholipase A2 reduces complex coronary atherosclerotic plaque development. Nat Med. 2008;14:1059–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Jenny NS, Solomon C, Cushman M, et al. Lipoprotein-associated phospholipase A(2) (Lp-PLA(2)) and risk of cardiovascular disease in older adults: results from the Cardiovascular Health Study. Atherosclerosis. 2010;209:528–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [12].Basu A, Jensen MD, McCann F, et al. Lack of an effect of pioglitazone or glipizide on lipoprotein-associated phospholipase A2 in type 2 diabetes. Endocr Pract. 2007;13:147–52. [DOI] [PubMed] [Google Scholar]
- [13].Cheraghi A, Mahmoudi M, Jafarian K, et al. Comparison of serum LP-PLA2 level and some nutritional factors between well-controlled and poorly-controlled diabetic patients. Acta Med Iran. 2015;53:690–6. [PubMed] [Google Scholar]
- [14].American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33(Suppl 1):S62–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Mendelson SJ, Prabhakaran S. Diagnosis and management of transient ischemic attack and acute ischemic stroke: a review. JAMA. 2021;325:1088–98. [DOI] [PubMed] [Google Scholar]
- [16].Feske SK. Ischemic stroke. Am J Med. 2021;134:1457–64. [DOI] [PubMed] [Google Scholar]
- [17].Jeerakathil T, Johnson JA, Simpson SH, et al. Short-term risk for stroke is doubled in persons with newly treated type 2 diabetes compared with persons without diabetes: a population-based cohort study. Stroke. 2007;38:1739–43. [DOI] [PubMed] [Google Scholar]
- [18].Lau LH, Lew J, Borschmann K, et al. Prevalence of diabetes and its effects on stroke outcomes: a meta-analysis and literature review. J Diabetes Investig. 2019;10:780–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Li J, Lin J, Pan Y, et al. Interleukin-6 and YKL-40 predicted recurrent stroke after ischemic stroke or TIA: analysis of 6 inflammation biomarkers in a prospective cohort study. J Neuroinflammation. 2022;19:131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Coveney S, Murphy S, Belton O, et al. Inflammatory cytokines, high-sensitivity C-reactive protein, and risk of one-year vascular events, death, and poor functional outcome after stroke and transient ischemic attack. Int J Stroke. 2022;17:163–71. [DOI] [PubMed] [Google Scholar]
- [21].Rost NS, Wolf PA, Kase CS, et al. Plasma concentration of C-reactive protein and risk of ischemic stroke and transient ischemic attack: the Framingham study. Stroke. 2001;32:2575–9. [DOI] [PubMed] [Google Scholar]
- [22].Kaptoge S, Di Angelantonio E, Lowe G, et al. C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. Lancet. 2010;375:132–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [23].Gedebjerg A, Bjerre M, Kjaergaard AD, et al. CRP, C-peptide, and risk of first-time cardiovascular events and mortality in early type 2 diabetes: a Danish cohort study. Diabetes Care. 2023;46:1037–45. [DOI] [PubMed] [Google Scholar]
- [24].Krzyzanowska K, Mittermayer F, Wolzt M, et al. Asymmetric dimethylarginine predicts cardiovascular events in patients with type 2 diabetes. Diabetes Care. 2007;30:1834–9. [DOI] [PubMed] [Google Scholar]
- [25].Rosenfeld ME. Inflammation and atherosclerosis: direct versus indirect mechanisms. Curr Opin Pharmacol. 2013;13:154–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Legein B, Temmerman L, Biessen EAL, et al. Inflammation and immune system interactions in atherosclerosis. Cell Mol Life Sci. 2013;70:3847–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Wang Q. Plasma lipoprotein-associated phospholipase A2 is associated with acute ischemic stroke in patients with atrial fibrillation. J Clin Neurosci. 2022;101:239–43. [DOI] [PubMed] [Google Scholar]
- [28].Li D, Wei W, Ran X, et al. Lipoprotein-associated phospholipase A2 and risks of coronary heart disease and ischemic stroke in the general population: a systematic review and meta-analysis. Clin Chim Acta. 2017;471:38–45. [DOI] [PubMed] [Google Scholar]
- [29].Cao J, Yan P, Zhou Y, et al. Clinical utility of the serum level of lipoprotein-related phospholipase A2 in acute ischemic stroke with cerebral artery stenosis. Front Neurol. 2021;12:642483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Lin XH, Xu M-T, Tang J-Y, et al. Effect of intensive insulin treatment on plasma levels of lipoprotein-associated phospholipase A(2) and secretory phospholipase A(2) in patients with newly diagnosed type 2 diabetes. Lipids Health Dis. 2016;15:203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Goliasch G, Silbernagel G, Kleber ME, et al. Refining long-term prediction of cardiovascular risk in diabetes - the VILDIA score. Sci Rep. 2017;7:4700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [32].Nelson TL, Biggs ML, Kizer JR, et al. Lipoprotein-associated phospholipase A2 (Lp-PLA2) and future risk of type 2 diabetes: results from the Cardiovascular Health Study. J Clin Endocrinol Metab. 2012;97:1695–701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Iwase M, Sonoki K, Sasaki N, et al. Lysophosphatidylcholine contents in plasma LDL in patients with type 2 diabetes mellitus: relation with lipoprotein-associated phospholipase A2 and effects of simvastatin treatment. Atherosclerosis. 2008;196:931–6. [DOI] [PubMed] [Google Scholar]
- [34].Ding PF, Zhang H-S, Wang J, et al. Insulin resistance in ischemic stroke: mechanisms and therapeutic approaches. Front Endocrinol (Lausanne). 2022;13:1092431. [DOI] [PMC free article] [PubMed] [Google Scholar]