Results
The characteristics of the subjects are presented in
Table 1
. There were no statistically significant differences in age, gender, BMI, lipid profile (TC, LDL, HDL, TG, Apo-A, and Apo-B), creatinine, alcohol consumption, and smoking habit among the PA, EH, and NT groups (all P >0.05). In addition, the PA group well matched the EH group in terms of SBP, DBP, duration of hypertension, number of antihypertensive drugs, fasting blood glucose, and eGFR (all P >0.05).
Variables are shown as means±SD, medians (interquartile range) or absolute numbers and percentages. NA, not available; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; TG, triglyceride; Apo-A, apolipoprotein A-1; Apo-B, apolipoprotein B100; FBG, fasting blood glucose; eGFR, estimated glomerular filtration rate; CysC, cystatin C; B2M, beta-2-microglobulin; PAC, plasma aldosterone concentration; PRA, plasma renin activity and ARR, aldosterone–renin ratio. * P <0.05, ** P <0.01, *** P <0.001 vs. essential hypertension group; † P <0.05, †† P <0.01, ††† P <0.001 vs. normotensive controls.
Compared with the EH group, PAC, ARR, and serum sodium levels were higher in the PA group.But PRA and serum potassium levels were lower in the PA group than those in the EH group (all P <0.05). B2M and CysC both exhibited an increasing trend in the NT, EH, and PA groups (B2M: 1.60±0.34 mg/L vs. 1.80±0.41 mg/L vs. 1.98±0.64 mg/L, respectively, P <0.05; CysC: 0.76±0.12 mg/L vs. 0.88±0.17 mg/L vs. 0.94±0.23mg/L, respectively, P <0.05).
As presented in
Table 2
, cIMT in the PA and EH groups were higher than that in the NT group (both P <0.001). In the two hypertensive groups, cIMT in the PA group was higher than that in the EH group (0.90 (0.70, 1.10) mm vs. 0.80 (0.60, 1.00) mm, P <0.01).
Variables are shown as medians (interquartile range) or absolute numbers and percentages. cIMT, common carotid artery intima-media thickness.
* P <0.05, ** P <0.01, *** P <0.001 vs. essential hypertension group; † P <0.05, †† P <0.01, ††† P <0.001 vs. normotensive controls.
Similarly, the prevalence of increased cIMT and presence of carotid plaque exhibited an increasing trend in the NT, EH, and PA groups (prevalence of increased cIMT: 6.59% vs. 20.88% vs. 38.55%, respectively, P <0.05; prevalence of carotid plaque: 8.79% vs. 19.78% vs. 36.14%, respectively, P <0.05). The prevalence of carotid stenosis <50% in the PA group was higher than that in the NT group (16.87% vs. 5.49%, P <0.05), whereas no significant difference was observed among the other groups.
In the pooled data, cIMT was significantly positively correlated with age, SBP, DBP, TG, Apo-B, FBG, creatinine, CysC, and B2M and negatively correlated with eGFR (all P <0.05). In the PA group, cIMT was significantly positively correlated with age, duration of hypertension, TG, creatinine, CysC, B2M, PAC, and ARR and negatively correlated with eGFR (all P <0.05). In the EH group, cIMT was positively correlated with age, DBP, and LDL-C and negatively correlated with eGFR (all P <0.05) but not significantly correlated with CysC, B2M, creatinine, PAC, or ARR ( P >0.05). The above data are presented in
Supplemental Table 1
and
Supplemental Figs.1
,
2
, and
3
. The results of the logistic regression analysis conducted with increased cIMT(higher than 0.9 mm) as a dependent variable and relevant risk factors as independent variables in PA patients are as follows.
cIMT, common carotid artery intima-media thickness; PA, primary aldosteronism; EH, essential hypertension; NT, normotension; NA, not available; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; TG, triglyceride; Apo-A, apolipoprotein A-1; Apo-B, apolipoprotein B100; FBG, fasting blood glucose; eGFR, estimated glomerular filtration rate; CysC, cystatin C; B2M, beta-2-microglobulin; PAC, plasma aldosterone concentration; PRA, plasma renin activity and ARR, aldosterone–renin ratio. * P <0.05, ** P <0.01, *** P <0.001.
Supplemental Fig.1. Correlations between cIMT and B2M (A), CysC (B), PAC (C), or ARR (D) in PA patients B2M, beta-2-microglobulin; CysC, cystatin C; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; cIMT, carotid intima-media thickness; and PA, primary aldosteronism.
B2M, beta-2-microglobulin; CysC, cystatin C; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; cIMT, carotid intima-media thickness; and PA, primary aldosteronism.
Supplemental Fig.2. Correlations between B2M and PAC (A) or ARR (B) in PA patients B2M, beta-2-microglobulin; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; and PA, primary aldosteronism.
B2M, beta-2-microglobulin; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; and PA, primary aldosteronism.
CysC, cystatin C; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; and PA, primary aldosteronism.
B2M, CysC, PAC, and ARR were analyzed after the patients with PA were divided into different subgroups as follows: patients with or without increased cIMT and carotid plaque and carotid stenosis <50%. As presented in
Table 3
, in the PA group, B2M, CysC, PAC, and ARR were all higher in patients with increased cIMT or with carotid plaque than those without (all P <0.01), and B2M and PAC were both higher in patients with carotid stenosis <50% than those without (all P <0.001). Moreover, logistic regression analysis revealed that B2M, CysC, and PAC were all significantly associated with increased cIMT (all P <0.05); B2M, CysC, PAC, and ARR were all significantly associated with the presence of carotid plaque (all P <0.05); B2M and PAC were both significantly associated with the presence of carotid stenosis <50% (both P <0.01)
(
Table 4
)
. Furthermore, multivariate logistic regression analysis was conducted, with increased cIMT or presence of carotid plaque or carotid stenosis <50% as dependent variable and B2M, CysC, eGFR, PAC divided by 10 (PAC/10), ARR divided by 10 (ARR/10), age, sex, duration of hypertension, SBP, and LDL-C as independent variables. It is noteworthy that PAC and ARR were divided by 10 to make the effect estimates of PAC or ARR in the logistic regression more obvious. In this model, only B2M and PAC/10 were independent risk factors for asymptomatic carotid atherosclerosis
(
Fig.1A, 1B, 1C
)
. With regard to B2M, the ORs for increased cIMT and presence of carotid plaque and carotid stenosis <50% were 3.18 (1.13 to 8.93), 2.99 (1.07 to 8.33), and 4.67 (1.25 to 17.51), respectively ( P <0.05). For PAC/10, the ORs for increased cIMT and presence of carotid plaque and carotid stenosis <50% were 2.15 (1.37 to 3.38), 2.35 (1.47 to 3.75), and 2.96 (1.33 to 6.55), respectively ( P <0.01).
Variables are shown as means±SD or medians (interquartile range). B2M, beta-2-microglobulin; CysC, cystatin C; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; cIMT, common carotid artery intima-media thickness and PA, primary aldosteronism. # P <0.05, ## P <0.01, ### P <0.001 vs. PA group without increased cIMT; § P <0.05, §§ P <0.01, §§§ P <0.001 vs. PA group without carotid plaque; ∞ P <0.05, ∞∞ P <0.01, ∞∞∞ P <0.001 vs. PA group without carotid stenosis <50%.
B2M, beta-2-microglobulin; CysC, cystatin C; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; cIMT, common carotid artery intima-media thickness and PA, primary aldosteronism. * P <0.05, ** P <0.01, *** P <0.001.
Fig.1. Multivariate logistic regression analysis for B2M and PAC/10 as independent indicators of increased cIMT (A) and presence of carotid plaque (B) and carotid stenosis <50% (C) in the PA group, with data expressed as odds ratio (95%CI) B2M, beta-2-microglobulin; PAC, plasma aldosterone concentration; cIMT, carotid intima-media thickness; and PA, primary aldosteronism.
B2M, beta-2-microglobulin; PAC, plasma aldosterone concentration; cIMT, carotid intima-media thickness; and PA, primary aldosteronism.
As the indicators of renal function, B2M, CysC, and eGFR except for creatinine were significantly correlated with PAC (r=0.42, r=0.32, and r=−0.32, P <0.01) in PA
(
Table 5
)
. Only B2M was significantly correlated with ARR (r=0.26, P =0.02), and none of the indicators of renal function was significantly correlated with PRA in PA. No correlation was observed between B2M and PAC or ARR in the EH group. Among them, B2M and CysC are the key observed indicators, therefore it’s also provided the correlations between B2M or CysC and other variables, shown in
Supplemental Table 2
and
3
.
PAC, plasma aldosterone concentration; PRA, plasma renin activity; ARR, aldosterone–renin ratio; PA, primary aldosteronism; eGFR, estimated glomerular filtration rate; CysC, cystatin C and B2M, beta-2-microglobulin. * P <0.05, ** P <0.01, *** P <0.001.
B2M, beta-2-microglobulin; PA, primary aldosteronism; EH, essential hypertension; NT, normotension; NA, not available; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; TG, triglyceride; Apo-A, apolipoprotein A-1; Apo-B, apolipoprotein B100; FBG, fasting blood glucose; eGFR, estimated glomerular filtration rate; CysC, cystatin C; PAC, plasma aldosterone concentration; PRA, plasma renin activity and ARR, aldosterone–renin ratio.
* P <0.05, ** P <0.01, *** P <0.001.
CysC, cystatin C; PA, primary aldosteronism; EH, essential hypertension; NT, normotension; NA, not available; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; TG, triglyceride; Apo-A, apolipoprotein A-1; Apo-B, apolipoprotein B100; FBG, fasting blood glucose; eGFR, estimated glomerular filtration rate; B2M, beta-2-microglobulin; PAC, plasma aldosterone concentration; PRA, plasma renin activity and ARR, aldosterone–renin ratio. * P <0.05, ** P <0.01, *** P <0.001.
The area under the ROC curve for PAC, B2M, CysC, and ARR in detecting increased cIMT was 0.80 (95% CI: 0.70–0.90, P <0.001), 0.75 (95% CI: 0.63–0.86, P <0.001), 0.67 (95% CI: 0.54–0.79, P =0.011), and 0.57 (95% CI: 0.44–0.70, P =0.268), respectively
(
Fig.2A
)
. The area under the ROC curve for PAC, B2M, CysC, and ARR in detecting the presence of carotid plaque was 0.81 (95% CI: 0.70–0.91, P <0.001), 0.75 (95% CI: 0.63–0.86, P <0.001), 0.65 (95% CI: 0.52–0.78, P =0.021), and 0.63 (95% CI: 0.50–0.76, P =0.049), respectively
(
Fig.2B
)
. The area under the ROC curve for PAC, B2M, CysC, and ARR in detecting the presence of carotid stenosis <50% was 0.77 (95% CI: 0.63–0.92, P =0.001), 0.76 (95% CI: 0.63–0.89, P =0.003), 0.59 (95% CI: 0.42–0.75, P =0.319), and 0.52 (95% CI: 0.35–0.70, P =0.794), respectively
(
Fig.2C
)
. Accordingly, only PAC and B2M had good diagnostic performance for the three surrogate markers of asymptomatic carotid atherosclerosis. However, the differences in the AUC between PAC and B2M were not significant when pairwise comparisons of ROC curves were performed ( P =0.45 for increased cIMT, P =0.39 for the presence of carotid plaque, and P =0.84 for the presence of carotid stenosis <50%). Based on the ROC curve, the optimal cutoff for PAC in detecting increased cIMT and presence of carotid plaque and carotid stenosis <50% was 28.24, 28.24, and 42.77 ng/dL, respectively. With regard to B2M, the optimal cutoff in detecting increased cIMT and presence of carotid plaque and carotid stenosis <50% was 2.02, 2.02, and 1.89 mg/L, respectively.
Fig.2. Receiver operating characteristic (ROC) curve analysis for the predictive values of B2M, CysC, PAC, and ARR in detecting increased cIMT (A) and presence of carotid plaque (B) and carotid stenosis <50% (C) in PA patients B2M, beta-2-microglobulin; CysC, cystatin C; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; cIMT, carotid intima-media thickness; and PA, primary aldosteronism.
B2M, beta-2-microglobulin; CysC, cystatin C; PAC, plasma aldosterone concentration; ARR, aldosterone–renin ratio; cIMT, carotid intima-media thickness; and PA, primary aldosteronism.
Materials
In the present cross-sectional study, 83 patients with PA, 91 patients with EH, and 91 NT controls were enrolled from our hospital from August 2011 to June 2016. According to the American Endocrine Society clinical practice guideline about PA
1
,
2)
, all of the PA patients were diagnosed by plasma aldosterone concentration (PAC) to plasma renin activity (PRA) (aldosterone-to-renin ratio (ARR), ng/dL per ng/mL per hour) higher than 30 ng/dL per ng/mL per hour in the upright position, further confirmed by the failure of aldosterone suppression after the sodium infusion test and captopril challenge test
1
,
2)
. All EH patients were confirmed under the following conditions: systolic blood pressure (SBP) ≥ 140 mmHg and/or diastolic blood pressure (DBP) ≥ 90 mmHg at different days at least three times of measurement or intake of anti-hypertension drugs prior to enrollment, with ARR <20 ng/dL per ng/mL per hour consistent with the guideline
1
,
2)
. Normotensive (NT) controls were defined as subjects with SBP <140 mmHg and DBP <90 mmHg, without hypokalemia. All subjects did not experience transient ischemic attack, stroke, or other associated neurological symptoms in the past.
The exclusion criteria for this study were (1) other secondary hypertension (Cushing’s syndrome, hyperthyroidism, pheochromocytoma, renal artery stenosis, etc.); (2) diabetes mellitus; (3) recent stress states, such as infection, surgery, and severe trauma; (4) serious cardiac insufficiency, liver insufficiency (serum transaminase or bilirubin increased), and kidney insufficiency (eGFR lower than 60 mL/min·per 1.73 m 2 ); (5) hematologic disease, malignancy, and rheumatologic diseases.
Clinical data, including gender, age, height, and weight, were obtained from all patients by a well-trained researcher. Body mass index (BMI) was calculated as body weight (kg) divided by the square of the height (m). The blood pressure levels were calculated by the mean of two consecutive blood pressure values taken 10 min apart in a sitting position. Health history and lifestyle behavior were determined through unified questionnaire, including hypertension and corresponding course, medications (hypotensive agents and lipid-lowering agents), smoking status, and alcohol consumption.
In the morning after a 10-h overnight fast, the serum concentrations of total cholesterol (TC), triglycerides (TG), LDL-cholesterol (LDL-c), HDL-cholesterol (HDL-c), uric acid, plasma glucose, and creatinine (Cr) were measured using the automated enzymatic method. The serum concentrations of sodium and potassium were measured using the ion electrode selection method; the serum concentration of CysC via particle-enhanced turbidimetric immunoassay; and the serum concentrations of B2M, apolipoprotein A-1 (Apo-A), and apolipoprotein B100 (Apo-B) via transmission turbidimetric immunoassay. All of above indexes were detected using an autonomic analyzer (Hitachi, Japan, 7600-020).
Before sample collection, all patients stopped the intake of agents that interfered with the measurement of aldosterone and renin for 2–4 weeks, except for non-dihydropyridine calcium channel blocker antagonist and α-adrenergic blocker according to the guideline
1
,
2)
. After a whole night of sleep in the supine position, the patients were instructed to sit, stand, or walk for at least 2 h and then sit for 5 to 15 min. Subsequently, their blood samples were drawn in the midmorning. Plasmas were isolated via centrifugation at room temperature. PAC and PRA were detected using radioimmunoassay kits according to the manufacturer’s protocol (North Institute of Biotechnology Co., Ltd., Beijing, China). The intra-assay coefficients of variation for PAC and PRA were both lower than 10%, respectively. The inter-assay coefficients of variation for PAC and PRA were both lower than 15%, respectively. The reference range of PAC was 6.5 to 29.6 ng/dL, whereas the reference range of PRA was 0.93 to 6.56 ng/mL per hour. ARR was calculated as the ratio of PAC to PRA.
The study was conducted by the same specialist in the ultrasound department using a high-resolution color Doppler ultrasound (Vivid E9, GE, Norway) equipped with a 2.4–8.0 MHz linear-array probe. The subjects were in supine position. Using the anterior or posterior margin of the sternocleidomastoid muscle as the transverse section, the position of the common carotid artery (CCA) was determined. The probe scanned the CCA laterally from the medial end of the clavicle, followed by the carotid bifurcation, internal carotid, and external carotid arteries successively as high up as possible. Then, the probe was rotated 90° to show their longitudinal section. The cIMT was measured as vertical distance from the front edge of the lumen–intima interface to the front edge of the media–adventitia interface of the CCA, and the thickest values were used for this study. Asymptomatic carotid atherosclerosis included the following parameters: increased cIMT, considered as higher than 0.9 mm
10
,
22)
; carotid plaque, defined as a focal region with a carotid IMT >1.5 mm that protrudes into the lumen
10
,
22)
; and carotid artery stenosis less than 50%, judged as a local blood filling defect with peak systolic velocity less than 125 cm/s in the presence of plaque or increased cIMT
23)
.
Continuous data are expressed as either mean±SD for normally distributed variables or median (interquartile range) for non-normally distributed variables. The normality test was confirmed by the Shapiro–Wilk test. Categorical data are expressed as numbers and percentages. Quantitative data, consistent with the normal distribution and homogeneity of variance, were analyzed via one-way ANOVA. Subsequently, pairwise comparison was performed using the least significant difference test (LSD-t); quantitative data inconsistent with the normal distribution were analyzed using the Kruskal–Wallis test, and then pairwise comparisons were analyzed using the Bonferroni method. The relationships between different continuous data were evaluated using Spearman’s rank correlation analysis. Univariate and multivariate analyses were conducted to determine the independent risk factors of presence of increased cIMT, carotid plaque and carotid stenosis <50%, expressed as odds ratios (OR) with 95% confidence intervals (CI). A receiver operating characteristic (ROC) curve analysis was designed to identify the cutoff values (thresholds) of the risk factors that best predicted asymptomatic carotid atherosclerosis. The optimal cutoff value for the ROC curve was decided by the Youden index. The differences of the area under the curve (AUC) among the variables were compared via pairwise comparisons of the ROC curves using MedCalc 20.0. All other statistical analyses were conducted using SPSS 24.0 (IBM, Armonk, New York, United States). Significance was defined as P <0.05.
Discussion
Previous studies found that PA patients manifested less-severe abnormalities of glucose and lipid metabolism
24)
but much earlier emergence of albuminuria
25)
and more severe endothelial dysfunction contrary to EH patients
26)
. This indicated that PA was more predisposed to prominent renal and vascular damages, especially to much earlier and more severe atherosclerosis
27
,
28)
. Most of the past researches usually adopted cIMT as the surrogate marker of subclinical carotid atherosclerosis
29)
and found that PA patients had significantly higher cIMT compared with the EH or NT subjects
28)
. As another creditable surrogate and more serious stage for carotid atherosclerosis, carotid plaque and carotid stenosis are even more powerful in predicting cardiovascular outcomes than cIMT
30
,
31)
. However, whether the prevalence of carotid plaque and carotid stenosis is higher in PA patients is still unknown. To the best of our knowledge, this was the first study to compare the prevalence of carotid plaque and carotid stenosis <50% among the PA, EH, and NT groups. Significantly increasing trends of cIMT and prevalence of increased cIMT and carotid plaque were observed in the NT, EH, and PA groups. However, though the prevalence of carotid stenosis <50% in the PA group was slightly higher than that in the EH group, no significant difference was observed. As carotid stenosis was the advanced and later stage of carotid atherosclerosis compared with increased cIMT and presence of carotid plaque and the mean durations of EH and PA in the present study were both no more than 5 years, we assumed that there was no sufficient time of exposure to increased aldosterone levels in the PA group to ultimately differentiate carotid stenosis between the EH and PA groups.
A large number of studies have proved that hypertension plays a vital role in carotid atherosclerosis
32)
and can partially explain why these surrogate markers for carotid atherosclerosis are higher in PA patients than in NT subjects. The German Conn’s Registry reported that cardiovascular disease (CVD) was the main cause of death in the PA group, accounting for 50% of the mortality rate
33)
. Aside from hypertension, CVD in PA is attributed to another important and indispensable contributor, namely, excessive aldosterone, which could induce endothelial dysfunction, fibrosis, and thickening of the arterial wall and subsequent vascular remodeling
34
,
35)
, manifesting as increases in cIMT
36)
. Consistently, we found that PAC was independently associated with the surrogate markers of asymptomatic carotid atherosclerosis, including increased cIMT and presence of carotid plaque and carotid stenosis <50%. These findings contribute to the identification of the critical role of aldosterone excess in the occurrence and development of carotid atherosclerosis. As cIMT in PA patients could be significantly reduced after adrenalectomy and treatment with aldosterone blocker, eplerenone, or spironolactone
37
-
39)
, the findings in the present study also suggested that we should pay more attention to the early screening of PA in hypertensive patients and correct it in a timely manner.
In the past two decades, B2M and CysC have been gaining increasing attention as risk factors of CVD
13
-
19)
, including asymptomatic carotid atherosclerosis
13
-
16)
. There have been no reports yet exploring the relationships between B2M or CysC and asymptomatic carotid atherosclerosis in PA. In the present study, a significantly increasing trend of B2M or CysC in the NT, EH, and PA groups was observed. Within the PA group, both B2M and CysC were higher in patients with increased cIMT or with carotid plaque than those without, whereas only B2M was higher in patients with carotid stenosis <50% than those without. All of these findings suggested that both B2M and CysC might be potential risk factors of asymptomatic carotid atherosclerosis in PA. However, after adjusting for confounding factors, only B2M was found to be independently associated with asymptomatic carotid atherosclerosis.
In addition, the risk of presence of increased cIMT, carotid plaque and carotid stenosis <50% was increased by 2.18, 1.99, 3.67 times respectively per 1 mmol/L increase in B2M levels, obviously higher than PAC. This indicated that B2M could be a valued risk factor of asymptomatic carotid atherosclerosis in PA. The potential mechanisms may be as follows. First, high B2M levels may exert an atherogenic effect through amyloid deposit, which could damage the vessel walls
40
,
41)
. Second, atherosclerosis is presumed to be a chronic inflammatory response
42)
, in which B2M could take part through inflammation
43
,
44)
and oxidative stress
45)
. B2M was found to be correlated with oxidative stress biomarkers estimated as total antioxidant capacity and superoxide dismutase in patients undergoing dialysis
46)
. Some of the deposited B2M might be converted to advanced glycation end products (AGE-modified B2M), which can lead to monocyte activation, cytokine production, and further reactive oxygen species formation
47)
. These collectively suggested that inflammation and oxidative stress might be the potential ways for the atherogenic role of B2M. Third, a positive correlation between PAC and B2M was observed in the PA group, as presented in
Table 5
. Excessive aldosterone can facilitate the occurrence and development of atherosclerosis, including renal artery sclerosis
48
,
49)
. Meanwhile, long-term exposure to increased aldosterone levels will increase the renal perfusion pressure and damage the intrarenal vessels, subsequently leading to early damage to renal function
50
,
51)
. Compared with creatinine, B2M is a more sensitive indicator of renal function, which can increase when renal function begins to decline before creatinine increases
11)
. As a result, B2M was even higher in the PA group than in the EH group when creatinine was still normal. In view of the mechanisms discussed above, higher B2M levels could exert more severe atherosclerogenic damage to the carotid artery in PA. This also helps explain the significant correlation between B2M and cIMT in the PA group; however, the same correlation was not observed in the EH group (result shown in
Table S1
). With the dual effects of declined renal function and excessive aldosterone, B2M may cause higher risks of asymptomatic carotid atherosclerosis than aldosterone in PA patients. Therefore, B2M could be a notable risk factor for atherosclerotic vascular complications in PA. In PA patients with elevated B2M levels, further measures to restore renal function and correct excessive aldosterone should be considered. In the ROC curve analysis, B2M demonstrated a significant predictive ability for increased cIMT and presence of carotid plaque and carotid stenosis <50%, as presented in
Fig.2A, 2B, and 2C
. These findings suggested that further measurement of asymptomatic carotid atherosclerosis via ultrasonography should be considered when the B2M levels are increased in PA patients. In addition, for the return visit of PA patients for checking and review of asymptomatic carotid atherosclerosis, detection of B2M levels as a much easier and cheaper method is of clinical importance.
Although many studies demonstrated that CysC is a good predictor of cardiovascular events and mortality
15
,
16
,
18
,
21)
, several studies failed to find an association between serum CysC and CVD
52
-
54)
. Eriksson et al. even reported that decreased CysC levels were associated with myocardial infarction
55)
. The present study also failed to find that CysC was independently associated with asymptomatic carotid atherosclerosis. This discrepancy may be partly attributed to the genetic variations in CysC production
55)
, and partly because CysC is the most potent endogenous inhibitor of cysteine proteinases. As a matter of fact, CysC may exhibit both pro- and antiatherogenic properties in general
15
,
16
,
18
,
55
,
56)
. A prospective research with a larger sample size to elucidate the role of CysC in atherosclerosis and ASCVD is required in the future.