Skip to main content
Medical Science Monitor: International Medical Journal of Experimental and Clinical Research logoLink to Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
. 2021 Nov 22;27:e932813-1–e932813-7. doi: 10.12659/MSM.932813

Serum Beta-2 Microglobulin: A Possible Biomarker for Atrial Fibrillation

Bangying Zhang 1,A,B,C,D,E,F,*, Xinpei Chen 1,B,C,D,E,*, Xiaofeng Mu 1,B,D,E,*, Enzhao Liu 1,A,B, Tong Liu 1,B,E, Gang Xu 1,B,C, Qiankun Bao 1,C,D,E, Guangping Li 1,A,F,G,
PMCID: PMC8619805  PMID: 34803158

Abstract

Background

Atrial fibrillation (AF) is the most common persistent arrhythmia that can cause complications (including stroke). Therefore, its diagnosis and treatment require increased attention. Although beta-2 microglobulin (β2-MG) is a novel marker of cardiovascular disease, its role in AF has not been evaluated.

Material/Methods

We conducted a case-control study with 61 patients who had normal heart rhythm (control group) and 60 patients with AF (research group). We analyzed the serum β2-MG levels in both groups and performed multivariate analysis to assess the correlation between β2-MG and left atrial remodeling. In addition, β2-MG levels were compared between the left atrial blood and peripheral venous blood of another set of 57 patients with AF, who underwent cryoballoon ablation.

Results

There were no statistically significant differences in the baseline characteristics (age, sex, history of hypertension, diabetes mellitus, previous stroke, coronary heart disease, and estimated glomerular filtration rate) of the control and research groups. The left atrial anteroposterior diameters (LAD) and left ventricular end-systolic diameters in the AF group were significantly larger compared to the control group (P<0.01). Serum β2-MG levels in patients with AF were significantly higher (P<0.01) and positively correlated with the LAD (B-coefficient 25.482, 95% CI 14.410~36.554, P<0.01), serum β2-MG levels in the left atrial blood were significantly higher than those in peripheral venous blood (P<0.01), and serum β2-MG levels were an independent predictor of AF.

Conclusions

With the development of atrial fibrillation, the serum β2-MG levels increase and are closely related to the left atrial remodeling due to AF. Therefore, β2-MG can be an effective biomarker for predicting AF.

Keywords: Arrhythmias, Cardiac; Atrial Fibrillation; Cardiology

Background

Atrial fibrillation (AF) is one of the most common arrhythmias. It refers to the loss of normal and ordered atrial electrical activity, which is replaced by disorderly fibrillation waves [1]. The incidence and prevalence of AF are increasing globally. The Framingham Heart Study demonstrated that the prevalence of AF has tripled in the last 50 years [2,3]. In addition, future projections indicate that the absolute burden of AF could increase by >60% by 2050 [4]. AF can cause serious complications (including heart failure and arterial embolism) and the most common complication is cardiogenic stroke [57]. However, patients with AF lack its typical clinical symptoms and about 15% to 30% of AF patients are asymptomatic [8]. Many patients fail to receive effective treatment and have complications as an AF diagnosis can be easily missed or misdiagnosed [9]. Therefore, the early and timely diagnosis of AF is particularly important for an improved prognosis.

Previous studies have shown that the pathogenesis of AF is related to myocardial strain, myocardial fibrosis, and inflammation [10,11]. Over the past decade, there is growing evidence of the use of the natriuretic peptide system in AF, which includes brain natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP). A cohort study showed that patients with elevated BNP levels are at greater risk of progression to persistent or permanent forms of AF. In addition, BNP and NT-proBNP are associated with AF incidence, post-operative AF incidence, and prognosis in AF [12,13]. Biomarkers that suggest myocardial fibrosis (including soluble suppressor of tumorigenicity 2 and galectin-3 [gal-3]) and inflammation indicators (C-reactive protein and interleukin 6) increased in patients with AF [1418]. However, there is a lack of serum markers for the early diagnosis of AF [19].

Beta-2 microglobulin (β2-MG) is an endogenous low-molecular-weight serum globulin produced by the lymphocytes, platelets, and leukocytes [20]. It is widely distributed in the human body, exists in free form in serum, and its concentration remains relatively stable in the serum of healthy individuals [21]. The serum level of β2-MG is commonly used to assess early renal impairment and as a marker for multiple myeloma [2224]. In recent years, increasing evidence has shown that β2-MG is associated with the occurrence of coronary heart disease, heart failure, and hypertension and β2-MG levels are positively related to the incidence and mortality of cardiovascular diseases [2527]. The pathogenesis of AF has not been fully elucidated. Most pathophysiological mechanisms of AF are mainly ectopic excitation and reentry mechanisms, and these changes include ion-channel dysfunction, Ca2+-handling abnormalities, structural remodeling, and autonomic neural dysregulation [1]. Atrial fibrosis can promote atrial arrhythmogenesis, leading to AF with local conduction slowdown and a unidirectional blockade [2830]. The expression of β2-MG is associated with fibrosis of the kidneys, liver, lungs, and heart. Previous studies have shown that β2-MG is an indicator of the severity of pulmonary fibrosis [31]. In addition, exogenous β2-MG has a profibrotic effect on cardiac fibroblasts [32]. Therefore, we proposed the hypothesis that serum β2-MG is associated with AF. In this study, we determined serum β2-MG levels in patients with AF and analyzed the relationship between serum β2-MG levels and AF.

Material and Methods

Study Population

We conducted a case-control study on patients with or without AF who were hospitalized in the Second Hospital of Tianjin Medical University between December 2018 and December 2019. The study was conducted while the patients were in hospital and patient information was obtained from the hospital’s electronic medical record system (including sex, age, comorbidities, and laboratory test results). Transthoracic echocardiography was performed on the enrolled patients for related parameters, including left atrial anteroposterior diameter, left ventricular end-diastolic diameter, left ventricular end-systolic diameter, interventricular septum thickness, left ventricular posterior wall thickness, right ventricular anterior wall thickness, right ventricular end-diastolic diameter, and left ventricular ejection fraction. These parameters were measured in the parasternal long-axis view using 2-dimensional methods. The inclusion criteria were patients with AF or non-AF who were hospitalized in the Department of Cardiology of the Second Hospital of Tianjin Medical University and patients diagnosed with AF who met the diagnostic criteria of the 2016 Atrial Fibrillation Management Guidelines developed by the European Society of Cardiology and the European Heart Rhythm Association [33]. The exclusion criteria were patients with severe cardiac insufficiency (ejection fraction <40% or New York Heart Failure Classification IV), severe hypertension (3 measurements of systolic blood pressure ≥180 mmHg and/or diastolic blood pressure ≥110 mmHg on different days), acute or chronic autoimmunity or infectious diseases, liver, kidney, gallbladder diseases or abnormal liver and kidney function, other heart diseases (dilated cardiomyopathy, hypertrophic cardiomyopathy, rheumatic heart disease, congenital heart disease, malignant arrhythmia), and systemic blood diseases.

Subsequently, to explore the possible source of serum β2-MG in AF patients, another set of 57 patients with AF who underwent cryoballoon ablation were chosen as the research subjects to determine the β2-MG levels in left atrial blood and peripheral venous blood. The selection criteria for these patients were the same as described above for patients in the control and research groups. In addition, these patients underwent cryoballoon ablation (a treatment for atrial fibrillation). We collected atrial blood samples before the cryoballoon ablation (between September 2019 and January 2021).

All the procedures performed in studies involving human participants were in accordance with the Ethical Standards of the Institutional Research Committee (Medical Ethics Committee of the Second Hospital of Tianjin Medical University, approval number: KY2019K145) and the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from each patient.

Blood Samples and Laboratory Assays

A fasting venous blood sample (5 mL) was taken from the patients within 24 h after hospital admission. Blood samples from the left atrial (5 mL) were collected from patients undergoing cryoballoon ablation. The supernatant serum from the blood samples was centrifuged at 3000 g for 5 min to 10 min and frozen at −80°C. The serum β2-MG level was determined by an enzyme-linked immunosorbent assay (ELISA) (R&D Systems, Minneapolis, MN, USA).

Statistical Analysis

Continuous variables are expressed as means±standard deviations, and independent sample t tests and paired sample t tests were used for statistical analysis. Categorical variables are expressed as percentages and were compared by the chi-square test. Multiple linear regression analysis was used to evaluate the correlation between β2-MG levels and left atrial anteroposterior diameters (LAD), and the estimated glomerular filtration rate (eGFR). The receiver operating characteristic (ROC) curve was used to assess the prediction accuracy of AF by β2-MG. P<0.05 was considered statistically significant. All analyses were performed using SPSS version 23.0 (IBM Corporation, Armonk, NY, USA).

Results

A total of 121 patients met the eligibility criteria – 60 patients with AF were the research group (50.8% men and 49.2% women), and 61 patients with normal heart rhythm were the control group (45.0% men and 55% women). The mean age of the control group was 68.51±6.55 years, and the mean age of the research group was 70.93±8.53 years. There were no exclusions due to complications or dropouts after enrolment.

Relationship Between Serum β-2 Microglobulin and Prevalence of Atrial Fibrillation

The baseline characteristics of the control and research groups are shown in Table 1. There were no statistically significant differences in the baseline clinical characteristics (age, sex, history of hypertension, diabetes, previous stroke, coronary heart disease, and eGFR) between the 2 groups. The anteroposterior of the left atrial diameters (LAD) (36.75±4.78 mm and 44.03±5.15 mm) and left ventricular end-systolic diameters (26.03±3.30 mm and 29.35±4.71 mm) in patients with AF were significantly larger compared to the control group (P<0.01) (Table 2). However, there were no significant differences between the 2 groups for the left ventricular end-diastolic diameter, left ventricular ejection fraction, and other parameters from the transthoracic echocardiography (Table 2).

Table 1.

Baseline characteristics of the study participants.

Control group n=61 Atrial fibrillation n=60 P value
 Age, year 68.51±6.55 70.93±8.53 0.082
 Male gender, n (%) 31 (50.8%) 27 (45.0%) 0.522
Complications
 Hypertension, n (%) 46 (75.4%) 43 (71.7%) 0.641
 Diabetes mellitus, n (%) 17 (27.9%) 17 (28.3%) 0.955
 Previous stroke, n (%) 9 (14.8%) 10 (16.7%) 0.772
 Coronary heart disease, n (%) 34 (55.7%) 35 (58.3%) 0.773
Laboratory indicators
 eGFR, mL/min 86.49±15.08 91.12±20.23 0.156

eGFR – estimated glomerular filtration rate. Data are means±standard deviation (SD).

Table 2.

Echocardiographic parameters of the study participants.

Control group n=61 Atrial fibrillation n=60 p-value
LAD (mm) 36.75±4.78 44.03±5.15** <0.01
LVEDD (mm) 46.06±5.43 47.63±4.26 0.080
LVESD (mm) 26.03±3.30 29.35±4.71** <0.01
IVST (mm) 9.14±1.35 9.46±1.61 0.238
LVPWT (mm) 9.13±1.28 9.41±1.45 0.257
RVAWT (mm) 3.45±0.53 3.62±0.51 0.071
RVDD (mm) 20.68±2.28 21.43±3.64 0.176
LVEF (mm) 64.21±4.92 62.57±5.35 0.081

LAD – left atrial anteroposterior diameter; LVEDD – left ventricular end-diastolic diameter; LVESD – left ventricular end-systolic diameter; IVST – interventricular septum thickness; LVPWT – left ventricular posterior wall thickness; RVAWT – right ventricular anterior wall thickness; RVEDD – right ventricular end-diastolic diameter; LVEF – left ventricular ejection fraction. Data are means±standard deviation (SD).

**

P<0.01.

We analyzed the serum β2-MG levels between the 2 groups. These levels in the AF group (1999.68±498.26 ng/mL) were significantly higher than seen in the control group (1567.20±288.21 ng/mL) (P<0.01) (Figure 1). Multivariate analysis was performed to evaluate the correlation between β2-MG levels and left atrial remodeling. The results showed that the increase in the β2-MG levels was significantly correlated with the size of the LAD (P<0.01) and negatively correlated to the eGFR (Table 3). β2-MG showed a moderate predictive ability to diagnose AF according to the area under the ROC curve (AUC=0.80, 95% CI 0.720–0.876, P<0.01) (Figure 2).

Figure 1.

Figure 1

Serum levels of beta-2 microglobulin in the control group and research group. Data are mean±standard deviation and an unpaired 2-tailed t test. ** P<0.01 (GraphPad Prism 8.0.1, GraphPad Software, Inc., San Diego, CA, USA).

Table 3.

Multivariate linear regression analysis for the association between serum beta-2 microglobulin levels and the left atrial diameter in the study participants.

B-coefficients 95% CI for B p-value
LAD, mm 25.482 14.410~36.554** <0.01
eGFR, mL/min −13.968 −17.758~−10.177** <0.01

LAD – left atrial anteroposterior diameter.

**

P<0.01.

Figure 2.

Figure 2

Receiver operating characteristic curve analysis for predictive values of beta-2 microglobulin in diagnosing atrial fibrillation. (GraphPad Prism 8.0.1, GraphPad Software, Inc., San Diego, CA, USA).

Distribution of β2-Microglobulin in Patients with Atrial Fibrillation

In the light of the above results, we promote the hypothesis that the increase of serum β2-MG contributes to the structural remodeling of the left atrial. Therefore, another set of 57 AF patients who underwent cryoballoon ablation were selected as the research subjects and we determined the concentration of β2-MG in their left atrial blood and peripheral venous blood. The clinical characteristics of these patients are shown in Table 4. The mean age of these patients was 64.12±8.97 years, 57.9% were men and 42.1% were women. The CHA2DS2VASc score [34] was 2.21±1.29 points and the LAD was 41.16±4.77 mm. We determined the concentration of β2-MG in the left atrial blood and peripheral venous blood of patients with AF using ELISA. The level of β2-MG in the left atrial blood (2395.96±604.47 ng/mL) was significantly higher than that in the peripheral venous blood (2036.33±614.317 ng/mL) of patients with AF (P<0.01) (Figure 3).

Table 4.

Clinical and laboratory characteristics of patients in the research.

Atrial fibrillation n=57
 Age, year 64.12±8.97
 Male gender, n (%) 33 (57.9%)
 Heart rate, bpm/min 72.16±17.68
 Systolic blood pressure, mmHg 131.16±16.31
 Diastolic blood pressure, mmHg 79.21±9.79
 CHA2DS2VASc 2.21±1.29
Complications
 Hypertension, n (%) 33 (57.9%)
 Diabetes mellitus, n (%) 12 (21.1%)
 Previous stroke, n (%) 8 (14.0%)
History of drug use
 Use of statins 23 (40.4%)
 Use of ACEI/ARB 21 (36.8%)
Laboratory indicators
 eGFR, mL/min 109.78±26.69
Measurements on transthoracic echocardiography
 LAD (mm) 41.16±4.77
 LVEDD (mm) 47.65±4.11
 LVESD (mm) 28.27±4.88
 LVPWT (mm) 9.11±1.37
 RVAWT (mm) 3.45±0.57
 RVEDD (mm) 21.06±2.12
 PAD (mm) 22.02±2.46
 LVEF (mm) 62.07±5.33

eGFR – estimated glomerular filtration rate; LAD – left atrial anteroposterior diameter; LVEDD – left ventricular end-diastolic diameter; LVESD – left ventricular end-systolic diameter; LVPWT – left ventricular posterior wall thickness; RVAWT – right ventricular anterior wall thickness; RVEDD – right ventricular end-diastolic diameter; PAD – pulmonary artery diameter; LVEF – left ventricular ejection fraction. Data are means±standard deviation (SD).

Figure 3.

Figure 3

Left atrial and peripheral venous serum levels of beta-2 microglobulin in patients with atrial fibrillation. Data are mean±standard deviation and an unpaired 2-tailed t test. ** P<0.01 (GraphPad Prism 8.0.1, GraphPad Software, Inc., San Diego, CA, USA).

Discussion

Atrial fibrillation is one of the most common tachyarrhythmias associated with many clinical outcomes, including stroke, extracranial systemic thromboembolism, dementia, heart failure, myocardial infarction, venous thromboembolism, and mortality [3]. Besides the risk of death and disability, it greatly increases the burden on society. Therefore, early diagnosis and treatment of AF are critical. Our study revealed the correlation between serum β2-MG levels and AF. Our findings are that the serum β2-MG levels of AF patients were significantly increased (P<0.01), β2-MG levels were positively correlated with LAD and were an independent predictor of AF, and serum β2-MG levels in left atrial blood were significantly higher than the levels in peripheral venous blood for patients with AF (P<0.01).

In recent years, scientists and researchers have tried to identify biomarkers that can predict AF and its complications. Previous studies have found that elevated plasma levels of interferon-γ were an independent risk factor for stroke and all-cause mortality in patients with AF [35], the serum levels of B-type natriuretic peptide are related to the AF load (chronic hemodynamic changes and anatomical changes) in patients with single AF and are strong predictors of arrhythmia recurrence after the ablation of AF [36], gal-3 is closely related to AF-induced left atrial remodeling, and gal-3 can be an effective biomarker in the AF population for risk stratification and prognosis prediction [37].

β2-MG is a non-lysogenic polypeptide of about 11.8 kDa, which is present in all nucleated cells. It is released into blood circulation at a constant rate. Part of the serum β2-MG is reabsorbed and decomposed in the renal tubules after being freely filtered by the glomeruli. Previous studies have shown that β2-MG is a risk factor for cardiovascular disease, which is associated with coronary heart disease, chronic heart failure, and hypertension. In our study, we found that β2-MG is associated with AF and has a certain predictive value for AF, which could be related to the structural remodeling of the left atrium.

The risk factors of AF induce atrial structural and histopathological changes characterized by fibrosis, inflammation, and cellular and molecular changes. These changes increase the incidence of AF. Persistent AF leads to electrical and structural remodeling of the left atrium and further contributes to the persistence of AF. Previous studies have shown that the expression of β2-MG is related to fibrosis of the kidneys, liver, and heart. β2-MG plays a role in cardiac fibrosis, and it is released by cardiomyocytes during pressure overload as a novel secreted soluble factor. In addition, β2-MG promotes profibrotic gene expression in cardiac fibroblasts in vitro and in vivo. Stretched cardiomyocytes release soluble β2-MG, which, through paracrine communication with cardiac fibroblasts, activates the epidermal growth factor receptors to initiate acute signal transduction and upregulate the fibrosis genes, thus promoting cardiac fibrosis [32,38]. Research has shown that cardiomyocytes can activate the epidermal growth factor receptor by releasing β2-MG, leading to the accelerated proliferation and differentiation of cardiac fibroblasts, and increased secretion and accumulation of the extracellular matrix, resulting in the development of myocardial fibrosis. The knockdown of the β2-MG gene using adenovirus 9 (AAV9) significantly reduced β2-MG levels in the myocardium and inhibited the process of myocardial fibrosis and cardiac dysfunction [32].

In this study, we found that β2-MG levels in venous serum were elevated in AF patients compared with those in the control group and that β2-MG levels in left atrial blood were higher than those in peripheral venous blood. This suggests that cardiomyocytes can secrete β2-MG or regulate the cellular metabolism and electrophysiological activity of the heart through this process, which leads to the development of AF. β2-MG appears to be strongly associated with atrial structural remodeling.

Limitations

There were several limitations in our research. Firstly, as this is a single-center study, the sample size is small compared to a multicenter study. Secondly, the level of serum β2-MG is affected by many factors, and our research lacks further information on the specific mechanism of β2-MG on AF. Therefore, the use of plasma β2-MG levels to predict the occurrence of AF in the population could be biased. We hope to study a larger population in the future to verify the predictive value of β2-MG in AF.

Conclusions

We demonstrated that serum β2-MG levels increased with the development of atrial fibrillation. The levels of β2-MG are closely related to the left atrial remodeling due to AF. β2-MG could be an effective biomarker for AF prediction. Therefore, in the future, we could diagnose early AF by measuring serum β2-MG levels.

Acknowledgements

We thank Yue Zhang for assistance with the experiments and Zuowang Ma for valuable discussions. We gratefully acknowledge our collaboration with the Second Hospital of Tianjin Medical University.

Footnotes

Conflict of interest: None declared

Department and Institution Where Work Was Done

Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China.

Declaration of Figures Authenticity

All figures submitted have been created by the authors who confirm that the images are original with no duplication and have not been previously published in whole or in part.

Financial support: This work was supported by grants from Clinical Medicine Research of the Second Hospital of Tianjin Medical University (2019LC01) and the Tianjin Municipal Health and Health Committee Technology Project (ZC20125)

References

  • 1.Andrade J, Khairy P, Dobrev D, et al. The clinical profile and pathophysiology of atrial fibrillation: Relationships among clinical features, epidemiology, and mechanisms. Circ Res. 2014;114(9):1453–68. doi: 10.1161/CIRCRESAHA.114.303211. [DOI] [PubMed] [Google Scholar]
  • 2.Kornej J, Borschel CS, Benjamin EJ, et al. Epidemiology of atrial fibrillation in the 21st century: Novel methods and new insights. Circ Res. 2020;127(1):4–20. doi: 10.1161/CIRCRESAHA.120.316340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Staerk L, Sherer JA, Ko D, et al. Atrial fibrillation: Epidemiology, pathophysiology, and clinical outcomes. Circ Res. 2017;120(9):1501–17. doi: 10.1161/CIRCRESAHA.117.309732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lippi G, Sanchis-Gomar F, Cervellin G. Global epidemiology of atrial fibrillation: An increasing epidemic and public health challenge. Int J Stroke. 2021;16(2):217–21. doi: 10.1177/1747493019897870. [DOI] [PubMed] [Google Scholar]
  • 5.Chen LY, Chung MK, Allen LA, et al. Atrial fibrillation burden: Moving beyond atrial fibrillation as a binary entity: A Scientific Statement from the American Heart Association. Circulation. 2018;137(20):e623–44. doi: 10.1161/CIR.0000000000000568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lin HJ, Wolf PA, Benjamin EJ, et al. Newly diagnosed atrial fibrillation and acute stroke. The Framingham Study. Stroke. 1995;26(9):1527–30. doi: 10.1161/01.str.26.9.1527. [DOI] [PubMed] [Google Scholar]
  • 7.Pistoia F, Sacco S, Tiseo C, et al. The epidemiology of atrial fibrillation and stroke. Cardiol Clin. 2016;34(2):255–68. doi: 10.1016/j.ccl.2015.12.002. [DOI] [PubMed] [Google Scholar]
  • 8.Rienstra M, Lubitz SA, Mahida S, et al. Symptoms and functional status of patients with atrial fibrillation: State of the art and future research opportunities. Circulation. 2012;125(23):2933–43. doi: 10.1161/CIRCULATIONAHA.111.069450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Rogers PA, Bernard ML, Madias C, et al. Current evidence-based understanding of the epidemiology, prevention, and treatment of atrial fibrillation. Curr Probl Cardiol. 2018;43(6):241–83. doi: 10.1016/j.cpcardiol.2017.06.001. [DOI] [PubMed] [Google Scholar]
  • 10.Wijesurendra RS, Casadei B. Mechanisms of atrial fibrillation. Heart. 2019;105(24):1860–67. doi: 10.1136/heartjnl-2018-314267. [DOI] [PubMed] [Google Scholar]
  • 11.Nattel S. Molecular and cellular mechanisms of atrial fibrosis in atrial fibrillation. JACC Clin Electrophysiol. 2017;3(5):425–35. doi: 10.1016/j.jacep.2017.03.002. [DOI] [PubMed] [Google Scholar]
  • 12.Chang KW, Hsu JC, Toomu A, et al. Clinical applications of biomarkers in atrial fibrillation. Am J Med. 2017;130(12):1351–57. doi: 10.1016/j.amjmed.2017.08.003. [DOI] [PubMed] [Google Scholar]
  • 13.Kumarathurai P, Mouridsen MR, Mattsson N, et al. Atrial ectopy and N-terminal pro-B-type natriuretic peptide as predictors of atrial fibrillation: A population-based cohort study. Europace. 2017;19(3):364–70. doi: 10.1093/europace/euw017. [DOI] [PubMed] [Google Scholar]
  • 14.Wang Z, Cheng L, Zhang J, et al. Serum-soluble ST2 is a novel biomarker for evaluating left atrial low-voltage zone in paroxysmal atrial fibrillation. Med Sci Monit. 2020;26:e926221. doi: 10.12659/MSM.926221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Xiao M, Zhang M, Bie M, et al. Galectin-3 induces atrial fibrosis by activating the TGF-beta1/Smad pathway in patients with atrial fibrillation. Cardiology. 2020;145(7):446–55. doi: 10.1159/000506072. [DOI] [PubMed] [Google Scholar]
  • 16.Clementy N, Piver E, Bisson A, et al. Galectin-3 in atrial fibrillation: Mechanisms and therapeutic implications. Int J Mol Sci. 2018;19(4):976. doi: 10.3390/ijms19040976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Lewicka E, Dudzinska-Gehrmann J, Dabrowska-Kugacka A, et al. Neopterin and interleukin-6 as predictors of recurrent atrial fibrillation. Anatol J Cardiol. 2016;16(8):563–71. doi: 10.5152/AnatolJCardiol.2015.6272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Aulin J, Hijazi Z, Siegbahn A, et al. Serial measurement of interleukin-6 and risk of mortality in anticoagulated patients with atrial fibrillation: Insights from ARISTOTLE and RE-LY trials. J Thromb Haemost. 2020;18(9):2287–95. doi: 10.1111/jth.14947. [DOI] [PubMed] [Google Scholar]
  • 19.Oikonomou E, Zografos T, Papamikroulis GA, et al. Biomarkers in atrial fibrillation and heart failure. Curr Med Chem. 2019;26(5):873–87. doi: 10.2174/0929867324666170830100424. [DOI] [PubMed] [Google Scholar]
  • 20.Vincent C, Revillard JP. Beta-2-microglobulin and HLA-related glycoproteins in human urine and serum. Contrib Nephrol. 1981;26:66–88. doi: 10.1159/000396105. [DOI] [PubMed] [Google Scholar]
  • 21.Drueke TB, Massy ZA. Beta2-microglobulin. Semin Dial. 2009;22(4):378–80. doi: 10.1111/j.1525-139X.2009.00584.x. [DOI] [PubMed] [Google Scholar]
  • 22.Maaroufi A, Khadem-Ansari MH, Khalkhali HR, et al. Serum levels of bone sialoprotein, osteopontin, and beta2-microglobulin in stage I of multiple myeloma. J Cancer Res Ther. 2020;16(1):98–101. doi: 10.4103/jcrt.JCRT_666_16. [DOI] [PubMed] [Google Scholar]
  • 23.Michels TC, Petersen KE. Multiple myeloma: Diagnosis and treatment. Am Fam Physician. 2017;95(6):373–83. [PubMed] [Google Scholar]
  • 24.Stakhova T, Shcherbak AV, Kozlovskaia LV, et al. Clinical value of the determination of markers for endothelial dysfunction (endothelin-1, microalbuminuria) and tubulointerstitial tissue lesion (beta2-microglobulin, monocyte chemotactic protein-1) in hypertensive patients with uric acid metabolic disorders. Ter Arkh. 2014;86(6):45–51. [PubMed] [Google Scholar]
  • 25.You L, Xie R, Hu H, et al. High levels of serum beta2-microglobulin predict severity of coronary artery disease. BMC Cardiovasc Disord. 2017;17(1):71. doi: 10.1186/s12872-017-0502-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Brioschi M, Gianazza E, Agostoni P, et al. Multiplexed MRM-based proteomics identified multiple biomarkers of disease severity in human heart failure. Int J Mol Sci. 2021;22(2):838. doi: 10.3390/ijms22020838. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Shi F, Sun L, Kaptoge S. Association of beta-2-microglobulin and cardiovascular events and mortality: A systematic review and meta-analysis. Atherosclerosis. 2021;320:70–78. doi: 10.1016/j.atherosclerosis.2021.01.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Li D, Fareh S, Leung TK, et al. Promotion of atrial fibrillation by heart failure in dogs: Atrial remodeling of a different sort. Circulation. 1999;100(1):87–95. doi: 10.1161/01.cir.100.1.87. [DOI] [PubMed] [Google Scholar]
  • 29.Nattel S, Dobrev D. The multidimensional role of calcium in atrial fibrillation pathophysiology: Mechanistic insights and therapeutic opportunities. Eur Heart J. 2012;33(15):1870–77. doi: 10.1093/eurheartj/ehs079. [DOI] [PubMed] [Google Scholar]
  • 30.Yue L, Xie J, Nattel S. Molecular determinants of cardiac fibroblast electrical function and therapeutic implications for atrial fibrillation. Cardiovasc Res. 2011;89(4):744–53. doi: 10.1093/cvr/cvq329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Wu Z, Yan M, Zhang M, et al. Beta2-microglobulin as a biomarker of pulmonary fibrosis development in COPD patients. Aging (Albany NY) 2020;13(1):1251–63. doi: 10.18632/aging.202266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Li Y, Zhang X, Li L, et al. Mechanical stresses induce paracrine beta-2 microglobulin from cardiomyocytes to activate cardiac fibroblasts through epidermal growth factor receptor. Clin Sci (Lond) 2018;132(16):1855–74. doi: 10.1042/CS20180486. [DOI] [PubMed] [Google Scholar]
  • 33.Kirchhof P, Benussi S, Kotecha D, et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J. 2016;37(38):2893–962. doi: 10.1093/eurheartj/ehw210. [DOI] [PubMed] [Google Scholar]
  • 34.Camm AJ, Kirchhof P, Lip GY, et al. Guidelines for the management of atrial fibrillation: The Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC) Europace. 2010;12(10):1360–420. doi: 10.1093/europace/euq350. [DOI] [PubMed] [Google Scholar]
  • 35.Huang J, Xiang Y, Zhang H, et al. Plasma level of interferon-gamma predicts the prognosis in patients with new-onset atrial fibrillation. Heart Lung Circ. 2020;29(7):e168–76. doi: 10.1016/j.hlc.2019.11.004. [DOI] [PubMed] [Google Scholar]
  • 36.Hussein AA, Saliba WI, Martin DO, et al. Plasma B-type natriuretic peptide levels and recurrent arrhythmia after successful ablation of lone atrial fibrillation. Circulation. 2011;123(19):2077–82. doi: 10.1161/CIRCULATIONAHA.110.007252. [DOI] [PubMed] [Google Scholar]
  • 37.Tang Z, Zeng L, Lin Y, et al. Circulating Galectin-3 is associated with left atrial appendage remodelling and thrombus formation in patients with atrial fibrillation. Heart Lung Circ. 2019;28(6):923–31. doi: 10.1016/j.hlc.2018.05.094. [DOI] [PubMed] [Google Scholar]
  • 38.Boyer MJ, Eguchi S. Novel role for cardiac myocyte-derived beta-2 microglobulin in mediating cardiac fibrosis. Clin Sci (Lond) 2018;132(19):2117–20. doi: 10.1042/CS20180681. [DOI] [PubMed] [Google Scholar]

Articles from Medical Science Monitor : International Medical Journal of Experimental and Clinical Research are provided here courtesy of International Scientific Information, Inc.

RESOURCES