Skip to main content
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease logoLink to Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
. 2022 Apr 4;11(7):e024417. doi: 10.1161/JAHA.121.024417

Soluble ST2 Is a Sensitive and Specific Biomarker for Fulminant Myocarditis

Jin Wang 1, Mengying He 1, Huihui Li 1, Yanghui Chen 1, Xiang Nie 1, Yuanyuan Cai 1, Rong Xie 1, Lijuan Li 1, Peng Chen 1, Yang Sun 1, Chenze Li 1, Ting Yu 1, Houjuan Zuo 1, Guanglin Cui 1, Kun Miao 1, Chunxia Zhao 1, Jiangang Jiang 1, Bettina Heidecker 2, Olga Barnett 3, Alan Maisel 4, Chen Chen 1,, Dao Wen Wang 1,
PMCID: PMC9075487  PMID: 35377184

Abstract

Background

The aim of the study was to identify biomarkers that can facilitate early diagnosis and treatment of fulminant myocarditis (FM) in order to reduce mortality.

Methods and Results

First, the expression profiles of circulating cytokines were determined in the plasma samples from 4 patients with FM and 4 controls using human cytokine arrays. The results showed that 39 cytokines from patients with FM were changed at admission. Among them, 8 cytokines returned to normal levels at discharge, including soluble ST2 (sST2), which showed the most marked dynamic changes from disease onset to resolution. Then, in a cohort of 76 patients with FM, 57 patients with acute hemodynamic dysfunction attributable to other causes, and 56 patients with non‐FM, receiver operating characteristic curve analyses suggested that plasma sST2 level was able to differentiate FM from non‐FM or other FM‐unrelated acute heart failure more robustly N‐terminal pro‐B‐type natriuretic peptide or cardiac troponin I. Moreover, longitudinal analysis of plasma sST2 was performed in 10 patients with FM during hospitalization and 16 patients with FM during follow‐up. Finally, the diagnostic value was validated in an additional 26 patients with acute onset of unstable hemodynamics. The cutoff value of plasma sST2 for optimal diagnosis of FM was established at 58.39 ng/mL, where a sensitivity of 85.7% and specificity of 94.7% were achieved.

Conclusions

Elevated sST2 level was associated with mechanical stress or inflammation. Especially, sST2 might be used as a potential biomarker for the rapid diagnosis of FM, which was characterized by strong mechanical stretch stimulation and severe inflammatory response.

Registration

URL: https://www.clinicaltrials.gov; Unique identifier: NCT03268642.

Keywords: adult, biomarker, fulminant myocarditis, inflammatory, soluble ST2 (sST2)

Subject Categories: Clinical Studies


Nonstandard Abbreviations and Acronyms

cTnI

cardiac troponin I

FM

fulminant myocarditis

NFM

nonfulminant myocarditis

sST2

soluble ST2

Clinical Perspective

What Is New?

  • In the current study, we found a significant induction of a broad spectrum of inflammatory cytokines in patients’ plasma at the onset of fulminant myocarditis, supporting the presence of so‐called inflammatory storm as a part of the pathogenic features of the disease.

What Are the Clinical Implications?

  • The induction and normalization of plasma soluble ST2 were significantly and specifically correlated with the onset and clinical improvement of fulminant myocarditis, implicating its potential diagnosis role in the disease.

Myocarditis is a rare disease, with a prevalence of ≈22 per 100 000 people. 1 Acute myocarditis is generally considered a mild and self‐limited condition caused by infection, autoimmune disorders, poisoning, or toxic drug effects, although some cases can progress to chronic heart failure (HF). 2 , 3 , 4 While multiple pharmacological drugs have been associated with myocarditis, temporal trends and overall mortality have not been reported. Systematic analysis of drug‐associated myocarditis reported in the World Health Organization pharmacovigilance database promoted trials on the use of steroids and interleukin (IL) 1β inhibitors, which might change therapeutic perspectives (ClinicalTrials.gov Identifier: NCT05150704 and NCT03018834). 5 Fulminant myocarditis (FM), however, is the most severe type of myocarditis characterized by its sudden occurrence and rapid deterioration. 6 Patients with FM quickly develop hemodynamic dysfunction and require immediate mechanical circulatory support. Moreover, respiratory, liver, or kidney failure may occur simultaneously. 7 , 8 In a study based on an international multicenter registry, Ammirati et al 9 found that patients with FM had significantly higher rates of cardiac death and heart transplantation than those with non‐FM (NFM) at both 60‐day (28.0% versus 1.8%) and 7‐year (47.7% versus 10.4%) follow‐up. Therefore, developing an effective diagnostic and treatment regimen for FM remains to be a significant clinic challenge with major unmet needs.

It is emphasized by both the American Heart Association (AHA) and the Chinese Society of Cardiology that early diagnosis and appropriate treatment will benefit patients with FM. 6 , 10 However, one of the main challenges in realizing a definitive diagnosis for FM is to distinguish it from other cardiac conditions with similar clinical features of sudden‐onset of hemodynamic dysfunctions, especially from acute HF caused by unknown preexisting cardiomyopathies. Patients with FM and unrelated acute HF often present with similar patterns of clinical symptoms and laboratory results but require different therapies. Endomyocardial biopsy could help distinguish the different pathological types of acute HF attributable to different causes. However, this invasive examination was not routinely performed 11 and the sensitivity was limited. 12 Although contrast enhancement cardiac magnetic resonance imaging is a more sensitive technique to detect areas of myocardial damage, it may be limited in access and not readily available under emergent circumstances. 13 Both endomyocardial biopsy and cardiac magnetic resonance imaging have their limitations, and most of cannot obtain results in the first moments after patients with FM are admitted to the hospital. Considering that the condition of patients with FM changes and progresses rapidly, a robust and specific marker for quick results to differentiate these conditions would be critical. Unfortunately, specific diagnostic biomarkers for suspected myocarditis are limited. The current diagnosis for myocarditis relies partially on circulating troponin level and echocardiography features (class of recommendation 1, level of evidence C), which lack sensitivity. 4 , 11 NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) and cardiac troponin I (cTnI) are frequently used as biomarkers for FM. However, they are also generic biomarkers for diverse forms of HF or myocardial injury attributed to different causes. Therefore, new reliable, sensitive, and specific biomarkers for FM are urgently needed. Recently, COVID‐19 and the messenger RNA vaccine gained further attention on myocarditis. 14 , 15

Recently, a circular RNA, hsa‐circ‐0071542, was reported as a promising biomarker for pediatric FM. 16 However, the detection method is technically complex and time‐consuming. Considering the fact that FM is a severe inflammatory disease of the heart, we deduce that inflammation‐associated cytokines may serve as potential biomarkers for FM.

Motivated by the need to identify a robust biomarker for the differential diagnosis of FM and a significant association of this disease with inflammation, we performed a comprehensive profiling of 122 inflammatory cytokines in plasma from a cohort of 4 patients with FM at their admission and discharge. Compared with age‐ and sex‐matched controls, we observed significant changes for 39 cytokines in the FM samples at admission, supporting a state of so‐called inflammatory storm. A subset of these cytokines was found to be normalized at discharge, with soluble ST2 (sST2) displaying the most significant changes during the onset and resolution of FM. In a separate cohort of patients with FM and patients with FM‐unrelated acute hemodynamic dysfunction, plasma sST2 was found to be able to differentiate FM with higher specificity and sensitivity than the currently established biomarkers. Furthermore, longitudinal pattern of plasma sST2 was characterized in patients with FM during hospitalization and postdischarge follow‐up. Finally, in a prospective cohort study from an independent cohort, a threshold value of 58.39 ng/mL for plasma sST2 led to FM diagnosis with an accuracy of 92.3% and a positive likelihood ratio of 16.2. These results support that sST2 is a highly specific and sensitive biomarker for FM during the acute onset of the disease.

Methods

The raw data that support the findings of this study are available from the corresponding authors on request. The authors declare that all data supporting the findings of this study are available within the article and its supplementary information files or from the corresponding author on reasonable request.

Study Population

The overall study design is shown in Figure 1. All patients and controls were recruited at Tongji Hospital, Wuhan, China, between April 2017 and March 2021. The study was approved by the ethics review board of Tongji Hospital and Tongji Medical College (ID: TJ‐C20160202), and conformed to the principles of the Declaration of Helsinki. Informed consent was obtained from the patients directly or from their immediate family members in the case of incapacity.

Figure 1. Overall study design and the scheme of the validation cohort.

Figure 1

Detailed population information and the corresponding objectives are shown in the Supplemental Tables. AHF indicates acute heart failure; AMI, acute myocardial infarction; DCM, dilated cardiomyopathy; FM, fulminant myocarditis; NFM, nonfulminant myocarditis; and VHD, valvular heart diseases.

FM and NFM (patients with myocarditis without severe hemodynamic compromise) were diagnosed according to the 2013 European Society of Cardiology position statement, 2017 Chinese Society of Cardiology expert consensus statement, and 2009 International Consensus Group on Cardiovascular Magnetic Resonance in Myocarditis statement. 4 , 17 , 18 Specifically, the diagnostic criteria for FM included the following: (1) the onset of acute HF symptoms was shorter than 2 weeks; (2) inotropic support or mechanical circulatory support caused by hemodynamical instability was administered; and (3) the presence of myocarditis was confirmed by cardiac magnetic resonance imaging before discharge. Only patients with cardiac magnetic resonance imaging–confirmed FM were enrolled in this study (Figure S1). Coronary angiography was performed in patients aged >25 years to rule out acute myocardial infarction (AMI). The exclusion criteria were: (1) patients aged <11 years; (2) patients with possible acute coronary syndrome, but without coronary angiography to distinguish acute coronary syndrome versus FM; (3) patients with myocardial injury caused by sepsis; and (4) patients with unstable hemodynamics or shock caused by hypovolemia. 17 During hospitalization, 11 patients were diagnosed as having lymphocytic myocarditis by endocardium myocardial biopsy. All patients enrolled after December 2019 were negative for severe acute respiratory syndrome coronavirus 2.

Acute HF was diagnosed according to the 2013 American College of Cardiology Foundation/AHA guideline for the management of HF, 19 as well as the 2016 European Society of Cardiology guidelines for the diagnosis and treatment of acute and chronic HF. 20

For initial plasma cytokine profiling, 4 healthy controls and 4 sex‐ and age‐matched patients with FM were enrolled. Samples were collected at admission before any treatment and at discharge for the patients with FM (Table S1).

For retrospective analysis, the study cohort included 76 patients with FM, 56 patients with NFM, 57 patients with hemodynamic unstable acute HF with various causes (including 21 acute myocardial infarction, 15 dilated cardiomyopathy, 10 valvular heart diseases, and 11 arrhythmias or congenital heart diseases), and 8 control individuals. Blood samples from the study cohort were collected at admission before any treatment, and their clinical characteristics are presented in Table and Table S2.

Table 1.

Baseline Clinical Characteristics of Patients With NFM and Those With FM in the Validation Cohort

NFM (n=56) FM (n=76) P value
Age, y 29.5 (20.3–47.0) 33.0 (23.3–49.0) 0.3159
Men/women, n 41/15 37/39 <0.0001
Asian race, n (%) 55 (99.1) 76 (100) 0.424
Presenting symptoms, n (%)
Chest pain and/or tightness 49 (87.5) 57 (75.0) 0.082
Dyspnea 8 (14.3) 15 (19.7) 0.49
Syncope 2/56 (3.6) 9 (11.8) 0.116
Prodromal symptoms, n (%)
Fever 19 (34.0) 43 (56.6) 0.012
Gastrointestinal symptoms 12 (21.4) 24 (31.6) 0.442
Respiratory symptoms 9 (16.1) 14 (18.4) 0.818
Fatigue 3 (5.4) 19 (25.0) 0.004
Duration of presenting symptoms <2 wk 56 (100) 76 (100)
Echocardiography at admission
LVED, cm 4.9±0.6 4.7±0.6 0.3321
LVEF, % 57.0 (50.0–62.0) 30.0 (20.0–41.0) <0.0001
Admission laboratory tests
NT‐proBNP, pg/mL 821.0 (292.5–3365.3) 8528.0 (3484.8–19 116.0) <0.0001
cTnI, pg/mL 5474.7 (1755.0–17 341.0) 38 817.8 (19 256.3–50 000.0) <0.0001
Increased hs‐CRP, n (%) 42 (79.2) 66 (92.1) 0.045
Leukocyte ×109/L 8.8 (6.8–10.8) 11.5 (8.8–14.9) 0.0004
ALT, U/L 37.5 (23.0–66.8) 53.5 (39.3–212.8) 0.0009
AST, U/L 60.0 (34.0–97.5) 181.5 (103.0–359.0) <0.0001
Creatinine, µmol/L 68.0 (58.0–81.0) 85.5 (66.3–117.0) 0.0003
Urea, mmol/L 4.1 (3.0–5.5) 6.2 (4.0–11.3) <0.0001
Potassium, mmol/L 4.0 (3.6–4.2) 4.1 (3.7–4.6) 0.034
ECG findings at admission, no./total no. (%)
Normal 4/49 (8.2) 0/72 (0) 0.025
ST‐T segment abnormalities 31/49 (63.3) 47/72 (65.3) 0.848
Atrioventricular block 2/49 (4.1) 8/72 (11.1) 0.199
Arrhythmia 1/49 (2.0) 5/72 (6.9) 0.399
Supraventricular tachycardia 2/49 (4.1) 2/72 (2.8) 1
Ventricular tachycardia 0/49 (0) 6/72 (8.3) 0.08

Data are presented as mean±SD if normally distributed or median (quartile 1–quartile 3) if not normally distributed. P<0.05 vs nonfulminant myocarditis (NFM) (Student t and Mann‐Whitney tests were used to calculate the significance). Categorical variables were compared with the chi‐square or Fisher exact tests. ALT indicates alanine aminotransferase; AST, aspartate aminotransferase; cTnI, cardiac troponin I; FM, fulminant myocarditis; hs‐CRP, high‐sensitivity C‐reactive protein; LVED, left ventricular end‐diastolic volume; LVEF, left ventricular ejection fraction; and NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide.

For longitudinal measurement during hospitalization, blood samples were collected from 10 patients with FM every 1 or 2 days in the morning from admission to discharge (Table S3).

For follow‐up analysis, 16 patients with FM were recruited. By January 31, 2021, their plasma samples were collected at 6 months, 1 year, and 2 years postdischarge (Table S4).

In a prospective study, 26 patients with evidence initially suggestive of FM were enrolled between December 2020 and March 2021. Patients with confirmed AMI or angina and those whose symptoms were clearly not related to FM when presenting were excluded (Figure 1, Table S5).

For all participants, whole blood from different cohorts was drawn into sodium heparin tubes and processed immediately to obtain plasma, which was then stored at −80 °C before measurements. Baseline characteristics and therapeutic information of patients were collected from medical records and confirmed by the study physicians.

Human Cytokine Arrays

Plasma samples from 4 controls and 4 patients with FM both at admission before any treatment and at discharge underwent human cytokine arrays analyses (Cat#: QAH‐CYT‐8‐1, QAH‐IMR‐1‐1, QAH‐CYT‐4‐1, and QAH‐TH17‐1‐1), including 122 inflammation‐associated cytokines (RayBiotech). Data were analyzed as previously described. 21 In brief, after normalizing the value of cytokines, volcano plots and expression heatmaps were generated using Prism 8 software (GraphPad Software). A different color code (right) represented a normalized level of cytokines log2 (fold change). When the control group was compared with patients with FM, the horizontal and vertical dotted lines in the volcano plots represented the threshold value for the significance used to define upregulation or downregulation of cytokines was a fold change >2 (or <0.5), as well as with an adjusted P value of <0.05, respectively. Statistical differentially expressed cytokines between 2 groups were identified through fold change and adjusted P value.

Measurement of Circulating sST2 Levels

Circulating levels of human sST2 were measured using a Human ST2/interleukin‐33 receptor Quantikine ELISA kit (Cat#: DST200) from R&D System according to the manufacturer’s instruction.

Statistical Analysis

Data are shown as scatter plots. A Kolmogorov‐Smirnov test was performed to determine the normal distribution of continuous data. Continuous values are shown as mean±SD if normally distributed, or medians and first to third quartile (quartile 1–quartile 3) if not normally distributed. Student t test was used to compare the differences in normally distributed continuous values, and Mann‐Whitney and Kruskal‐Wallis tests were used to evaluate the differences in non‐normally distributed continuous values. Paired Student t and Wilcoxon signed rank tests were used to calculate the significance between paired samples. Categorical variables were compared with the chi‐square test or Fisher exact test. Associations were analyzed using Spearman correlation and adjusted for multiple sites using linear regression analysis for clinical data. Receiver operating characteristic (ROC) curves were constructed and the area under the curve (AUC) was calculated to evaluate the diagnostic performance of sST2. A Delong test was used to calculate the statistical significance among AUCs. 22 The optimal cutoff values for sST2 and cTnI from the retrospective analysis were established based on the highest Youden index as a summation of maximum sensitivity and specificity. Patients with cTnl or NT‐proBNP concentrations below the lower limit of detection were assigned a value of half the lower limit of detection. Patients with cTnl concentrations above the upper detection limit were assigned a value of the upper detection limit. The sensitivity, specificity, accuracy, positive and negative predictive values, and positive and negative likelihood ratios were calculated following Choi 23 for positive and negative test results. All diagrams were drawn using Prism 8 software, SPSS 22 (IBM), or R software (The R Foundation). The differences with P<0.05 were considered significant.

Results

Plasma Profile of Inflammation‐Associated Cytokines in Patients With FM

To identify inflammation‐associated biomarkers for FM, plasma samples from 4 patients with FM and 4 age‐/sex‐matched controls were collected for analysis of cytokine profiles using a human cytokine array (Table S1).

Differentially expressed human cytokines between the controls and patients with FM at admission were identified and illustrated as a volcano plot (Figure 2A) and a heatmap (Figure 2B). Among the 122 detected cytokines, 39 showed significant changes (28 increase and 11 decrease) in the patients with FM at admission, indicative of an inflammatory cytokine storm at the onset of FM. Somewhat unexpected, comparing the FM samples on admission versus discharge, only 11 cytokines were found to be significantly altered (Figure 2C and 2D). Among them, 8 cytokines were also significantly altered (7 increase and 1 decrease) at admission compared with those of the controls (Table S6). Among these 8 cytokines, plasma sST2 showed the most robust induction in the FM samples at admission according to fold changes and demonstrated a significant reduction at discharge.

Figure 2. Levels of 122 human cytokines in the patients with fulminant myocarditis (FM) and controls.

Figure 2

A, Volcano plot of the expression of human cytokines in 4 controls and 4 patients with FM at admission. LIMMA test was used to calculate the significance. The red plots represent differentially expressed proteins with an adjusted P value <0.05, whereas the black plots represent insignificant changes. The horizontal and vertical dotted lines in volcano plots represented the threshold value for the significance used to define upregulation or downregulation of cytokines was a fold change >2 (or <0.5), as well as with an adjusted P value of <0.05. B, Expression heatmap of cytokines that significantly changed in 4 patients with FM at admission compared with 4 controls, which correspond to the red plots in Figure 2A. The normalized levels of cytokines log2 (fold change) were indicated by a different color code (right). C, Volcano plot of the expression of human cytokines in 4 patients with FM at admission and 4 patients with FM at discharge. The red plots represent differentially expressed proteins with a P<0.05, whereas the black plots represent insignificant changes. The horizontal and vertical dotted lines in volcano plots represent the threshold value for the significance used to define upregulation or downregulation of cytokines was a fold change >1, as well as with a P value of <0.05. D, Expression heatmap of cytokines that significantly changed in 4 patients with FM at discharge vs 4 patients with FM at admission. Those cytokines corresponded to the red plots in Figure 2C. A different color code (right) represented normalized level of cytokines log2 (fold change). CRP indicates C‐reactive protein; DKK, Dickkopf protein; DPPIV, dipeptidyl peptidase IV; IFN‐γ, interferon γ; IL, interleukin; MIF, macrophage migration inhibitory factor; OPN, osteopontin; PAI‐1, plasminogen activator inhibitor 1; PDGF, platelet‐derived growth factor; TGFb, transforming growth factor β; TNFb, tumor necrosis factor β; uPAR, urokinase plasminogen activator receptor; and VEFG‐C, vascular endothelial growth factor C.

Diagnostic Performance of Plasma sST2 Level for the Differential Diagnosis of FM

To validate the data obtained from the array analysis, we performed a retrospective analysis on a cohort of patients with FM with control individuals and patients with NFM by targeted measurement of plasma sST2 levels (Table, Table S2, and Table S7). All of the patients with FM received a life support–based comprehensive treatment regimen, including intra‐aortic balloon pump, extracorporeal membrane oxygenation, continuous renal replacement therapy, immunomodulation therapy (intravenous immunoglobulin and corticosteroids), and antivirus treatment (oseltamivir or penciclovir), as soon as FM was diagnosed. Most of the patients with FM (74 of 76) recovered at discharge based on cardiac performance (Table S8). 17 Obviously, the patients with FM showed much higher plasma sST2 levels than the controls (Figure 3A), and further ROC curve analysis showed that sST2 demonstrated a perfect performance (Figure S2). Compared with the patients with hemodynamic unstable acute HF attributable to other causes, such as AMI, dilated cardiomyopathy, and valvular heart diseases, the patients with FM showed much higher plasma sST2 levels at admission (Figure 3B). More relevantly, ROC curve analyses showed that sST2 demonstrated a statistically better performance than cTnI and NT‐proBNP in distinguishing FM from hemodynamic unstable acute HF attributable to other causes (Figure 3C). As shown in Figure 3D, compared with the NFM group, the plasma sST2 concentrations in the FM group were significantly elevated. Most important, the ROC curve analyses revealed that sST2 values distinguished FM from NFM with an AUC of >0.90 (AUCsST2=0.94). Compared with cTnI (AUCcTnI=0.80) and NT‐proBNP (AUCNT‐proBNP=0.83), sST2 yielded the highest AUC for FM detection (Figure 3E). The optimal cutoff value of sST2 to distinguish FM from other conditions was determined to be 58.39 ng/mL, where the highest Youden index was achieved with the maximal summation of sensitivity and specificity (Table S9). At this threshold, an 87.5% specificity and 88.2% sensitivity were accomplished to distinguish FM from NFM in this cohort, leading to an overall accuracy of 87.9% in FM diagnosis from the discovery cohort (Table S9). The positive predictive value was 90.5% and the negative predictive value was 84.5%. These results indicate that sST2 has superior sensitivity and specificity over current standard biomarkers for the diagnosis of FM, and plasma sST2 at admission is a robust inflammation‐associated biomarker for differential diagnosis of FM.

Figure 3. Diagnostic performance of plasma soluble ST2 (sST2) for the detection of fulminant myocarditis (FM).

Figure 3

A, Circulating concentrations of sST2 in 76 patients with 8 control individuals (data are presented as medians and quartile 1 to quartile 3 [Q1–Q3], and Mann‐Whitney test was used to elevate the differences, **P<0.05). B, Circulating concentrations of sST2 in 76 patients with FM and 57 patients with acute heart failure (AHF; data are presented as medians and Q1 to Q3, and Kruskal‐Wallis test was used to elevate the differences, **P<0.05). C, Receiver operating characteristic (ROC) curves of plasma sST2, NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide), and cardiac troponin I (cTnI) in 76 patients with FM and 57 patients with AHF (the Delong test was used to calculate significance). D, Circulating concentrations of sST2 in 56 patients with nonfulminant myocarditis (NFM) and 76 patients with FM (data are presented as medians and Q1 to Q3, and Mann‐Whitney test was used to elevate the differences, **P<0.05). E, ROC curves of plasma sST2, NT‐proBNP, and cTnI in 56 patients with NFM and 76 patients with FM (the Delong test was used to calculate significance). AMI indicates acute myocardial infarction; AUROC, area under the receiver operating characteristic; DCM, dilated cardiomyopathy; and VHD, valvular heart disease.

Correlations Between Plasma sST2 Level and Heart Damage

There was no significant difference in plasma sST2 concentrations between the sexes in patients with FM (Figure S3A). Plasma sST2 concentrations were slightly increased with age (Figure S3B). There was no significant difference in sST2 level in patients with FM and NFM aged younger or older than 50 years (Figure S3C and S3D). Similarly, plasma level of sST2 did not correlate with the concentrations of high‐sensitivity C‐reactive protein (CRP) (Figure 4A). In contrast, the plasma concentration of sST2 was positively correlated with plasma NT‐proBNP and cTnI levels but negatively correlated with cardiac systolic function, indicated by the ejection fraction values (Figure 4B through 4D). These results suggest that sST2 might be induced not only as part of the systemic inflammatory response but also in association with specific cardiac stress.

Figure 4. Correlations between plasma soluble ST2 (sST2) level and heart damage.

Figure 4

Correlation analysis of plasma sST2 with high‐sensitivity C‐reactive protein (hs‐CRP) (A), ejection fraction (EF) (B), NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) (C), and cardiac troponin I (cTnI) (D) value in 76 patients with fulminant myocarditis (FM; Spearman correlation and linear regression analysis were used to calculate significance). b indicates regression coefficient.

Expression Pattern of Plasma sST2 in Patients With FM During Hospitalization and Follow‐Up

The time‐dependent expression pattern of plasma sST2 in the acute phase of FM was characterized in 10 hospitalized patients with FM from admission to discharge (Table S3). All of these patients received a life support–based comprehensive treatment regimen as soon as FM was diagnosed, and all recovered at discharge. 17 The average hospitalization time was 13 days. As shown in Figure 5A, circulating sST2 levels were gradually decreased in these patients with FM during the course of recovery. Consistent with the results at admission, the plasma concentration of sST2 was positively correlated with plasma NT‐proBNP and cTnI levels, but negatively correlated with cardiac systolic function throughout the period of hospitalization (Figure 5B through 5D). These data suggest that plasma sST2 is a dynamic indicator for the severity of FM during the acute phase of the disease.

Figure 5. Plasma levels of soluble ST2 (sST2) in patients with fulminant myocarditis (FM) during hospitalization.

Figure 5

A, Circulating concentrations of sST2 in 10 patients with FM during hospitalization. Correlation analysis of plasma sST2 with NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) (B), cardiac troponin I (cTnI) (C), and ejection fraction (EF) (D) values during hospitalization (Spearman correlation and linear regression analysis were used to calculate significance). b indicates regression coefficient.

Considering that FM might cause adverse sequelae after the acute phase, we followed up with 16 patients with FM for 2 years (Table S4). Although plasma sST2 concentrations were highly elevated at admission for all of these patients, they became rapidly normalized following discharge (Figure S4A). Furthermore, the plasma concentrations of sST2 were no longer associated with cardiac systolic function in the recovered patient with FM during the follow‐up period (Figure S4B) nor with ventricular chamber diameters (Figure S4C).

These data indicate that plasma sST2 was mainly a marker for the acute phase rather than the chronic post‐recovery phase of FM.

Differential Diagnosis of Patients With FM Using Plasma Levels of sST2

To validate the diagnostic performance for FM using plasma sST2, we conducted a prospective study where the plasma sST2 was measured at admission from a total of 26 patients with acute onset of unstable hemodynamics but undiagnosed causes. Following the final diagnosis, we found that, when sST2 was used, the AUC from the ROC curve to distinguish the 7 patients with FM from all other controls was 0.96 (0.9–1.0) (Figure 6A). In contrast, when cTnI was used, the AUC for FM versus all other patients was 0.81 (0.65–0.97), and, when NT‐proBNP was used, the AUC was 0.56 (0.27–0.85). Furthermore, the AUC for sST2 to distinguish patients with FM (n=7) from patients with AMI (n=9) was 0.95 (0.85–1.0) (Figure 6B). Moreover, at the cutoff level of 58.39 ng/mL set from the retrospective cohort (Figure 6 and Table S10), the diagnosis of FM was achieved with 85.7% sensitivity and 94.7% specificity, leading to an overall accuracy of 92.3% in FM diagnosis from the prospective cohort. In contrast, a 1194.75 pg/mL cutoff value of cTnI was able to achieve 100% sensitivity but only 63.2% specificity, resulting in a 73.1% accuracy in FM diagnosis. Positive and negative likelihood ratios for sST2 were 16.2 and 0.15, respectively. Positive likelihood ratio was >10 and positive predictive value was 85.7%, indicating that sST2 at 58.39 ng/mL was a robust diagnostic tool for FM.

Figure 6. Receiver operating characteristic (ROC) curves of circulating soluble ST2 (sST2) in the validation cohort.

Figure 6

A, Patients with fulminant myocarditis (FM) vs all other patients compared with NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide), cardiac troponin I (cTnI), and sST2. B, Patients with FM vs all other patients or those with acute myocardial infarction (AMI) using sST2. AUROC indicates area under the receiver operating characteristic.

Thus, the diagnostic performance of sST2 at 58.39 ng/mL was significantly superior to cTnI. In addition, to explore whether the level of sST2 had potential value for follow‐up prognosis assessment of patients with FM, we found that the patients with high levels of sST2 at admission showed a trend toward a higher risk of cardiovascular rehospitalization (Table S11). Moreover, there were statistical differences in left ventricular ejection fraction value and NT‐proBNP levels between the 2 subgroups (Table S12), which was consistent with the previous data that the level of sST2 correlated with the 2 indicators. The results suggested that the higher hazard ratios in the sST2high group might be attributable to the lower left ventricular ejection fraction and higher B‐type natriuretic peptide levels at admission. The data imply that the sST2 level was of potential value for the prognosis assessment in patients with FM.

Discussion

Accurate and early diagnosis of FM can effectively reduce its associated morbidity and mortality. However, the current cardiac injury–based biomarkers for FM have low specificity for accurate diagnosis. In this report, we focused on cytokines involved in inflammatory response, a well‐established pathophysiological mechanism underlying myocarditis. 4

In general, myocarditis is recognized as an inflammatory disease of cardiomyocytes. 24 The autoimmune/inflammatory response rather than the ongoing trigger, such as viral infection, is the key pathophysiology of myocarditis. 25 However, the landscape of systemic inflammatory response in patients with FM is largely unknown. To our knowledge, the current study is the first to provide comprehensive profiles of circulating inflammation‐associated cytokines in adult patients with FM. Our finding revealed that the expression of nearly one third of the detected cytokines (39 of 122 [32.0%]) were significantly changed in patients with FM, compared with that in controls. This overwhelming scale of cytokine alterations from different inflammatory players at the onset of the disease is consistent with the status of so‐called inflammatory storm caused by myocarditis‐related pathogens at the onset of FM. Unexpectedly, among these cytokines provoked by the disease, only a small subset of 8 cytokines were also normalized or further changed when FM was resolved. Among them, the plasma sST2 concentration showed the highest increase in fold at the onset of FM.

Interestingly, sST2 concentration was not associated with plasma CRP level, a commonly used biomarker of systemic inflammation, supporting a specific association of its release with FM. In fact, mechanical stress and inflammation were 2 main contributors to the increased sST2 level. 26 ST2 expression could be induced by biomechanical strain in cardiomyocytes. 27 Recently, alveolar epithelium was found to be an important noncardiac origin of elevated sST2. 28 It is well‐known that CRP is an acute‐phase protein, which is synthesized by liver cells and released into the blood when the body experiences an acute bacterial infection, malignant tumor, ischemia, or tissue injury. Apart from inflammation, a slightly elevated CRP level might also reflect distressed or injured cells homeostasis maintenance in daily life. 29 Until now, the correlation between CRP and mechanical stress was unclear. The different origins and inducers might account for the weak correlation between sST2 and CRP in the current study. In addition, unlike other biomarkers for systemic inflammation, such as IL‐2, IL‐10, and IL‐17, the plasma sST2 level rapidly decreased along with the clinical improvement in patients with FM. Therefore, sST2 is a unique and dynamic player in the inflammatory storm associated with FM. Recently, Blanco‐Domínguez et al 30 identified mmu‐miR‐721, and its human homologue hsa‐miR‐Chr8:96, which was synthesized by type 17 helper T cells, could be used to distinguish patients with myocarditis from those with myocardial infarction. We also identified that circulating miR‐4763‐3p was a novel potential biomarker candidate for human adult FM. 31 These data urgently suggest that the underlying inflammatory‐related mechanisms during myocarditis need further investigation.

From an extensive clinical cohort of patients with FM and NFM, we found that the level of circulating sST2 in patients with FM was much higher than that in patients with NFM. This is consistent with earlier histological findings that adult patients with FM generally have a higher degree of inflammatory infiltration in the heart section than patients with NFM. 32 Previously, it was found that sST2 levels were elevated in patients with myocarditis and New York Heart Association class III to IV HF, predominantly in men <50 years. 33 However, our results showed that the circulating sST2 levels were not correlated with patients’ sex and age. Compared with the study conducted by Coronado et al, 33 the patients with myocarditis they included were those with symptoms lasting <6 months, among which 65% were patients with New York Heart Association class I or II HF, similar to our patients with NFM, while we enrolled patients with acute myocarditis, whose symptoms lasted <2 weeks. All of the patients with FM in our study were administered inotropic support or mechanical circulatory support for acute hemodynamical instability (with hypotension and cardiogenic shock, similar to New York Heart Association class III or IV). Variations in the baseline characteristics of the cohorts may contribute to the different observations. In addition, another study found no significant difference in circulating sST2 levels among 5301 patients with chronic HF of different ages <80 years. 34 Since the majority of patients and average age in the current study was <50 years, more cohorts of patients with myocarditis should be conducted to reveal the impact of age and sex on circulating sST2 levels in the future.

Most relevant to the potential utility of sST2 as a biomarker for FM diagnosis, plasma sST2 at admission showed remarkable sensitivity (88.2%) and specificity (87.5%) for the differential diagnosis of FM from NFM. It significantly outperformed 2 current biomarkers for cardiac injury, cTnI, and NT‐proBNP. This is consistent with previous studies showing that cTnI was induced in patients with FM and those with AMI‐induced acute HF, compared with patients with other causes induced by hemodynamically unstable acute HF. 35 , 36 Therefore, the plasma sST2 induction observed in patients with FM may not only be caused by a generic systemic inflammatory response but also by local cardiac stress. From longitudinal examination, we further demonstrated that the induction of plasma sST2 was observed at the onset of FM, then dynamically normalized along with the resolution of the disease during hospitalization and remained stable during post‐FM period.

ST2 is located at a conserved locus on human chromosome 2 and mouse chromosome 1. 37 The sST2 protein is generated from a truncated messenger RNA transcript lacking the 3’ three exons, thus the transmembrane and cytoplasmic domains. 38 Generally, sST2 is believed to act as a decoy receptor to sequester free IL‐33, thus preventing ST2/IL‐33 signaling. 39 ST2/IL‐33 possesses beneficial effects against hypertension and HF via specific targets. 40 sST2 is upregulated after mechanical or IL‐1β stimulation in cardiomyocytes. 27 Previous studies show that circulating sST2 level was positively correlated with IL‐1β in acutely decompensated HF. 41 An earlier study found that increased ST2 was induced by IL‐1β in cardiomyocytes. 27 Consistently, IL‐1β administration in mice with viral myocarditis increased the plasma sST2 level. 33 In particular, inflammation and adverse cardiac remodeling were alleviated in chronic coxsackievirus B3–induced mice with myocarditis treated with an IL‐1β inhibitor, canakinumab. 42 In addition, a case report revealed that an IL‐1 blocker successfully treated a 17‐year‐old patient with myocarditis caused by adult‐onset Still disease. 43 Moreover, in a human endotoxin model, increased plasma sST2 was observed in healthy donors injected with lipopolysaccharide (2 ng/kg) within 24 hours. 44 Together, elevated sST2 might indicate some immunomodulating pharmacological treatments, eg, IL‐1 modulators. Meanwhile, early in 1997, it was suggested that continuous renal replacement therapy lowered the plasma levels of some mediators, especially cytokines and complement by a combination of membrane convection and adsorption. 45 Recently, Zhai et al 46 found that oXiris‐endotoxin adsorption technology‐based continuous renal replacement therapy effectively reduced the level of inflammation such as IL‐6 and IL‐10 in patients with sepsis. This suggested that continuous renal replacement therapy could also be used to modulate the inflammatory pattern.

sST2 has been found to be associated with HF attributed to different causes other than myocarditis. Studies found that combination of sST2 and NT‐proBNP offered improvement in assessing the risk of death or transplantation in 1141 outpatients with chronic HF, and implied that sST2 has an independent prognostic value in patients with chronic HF, 47 patients with ischemic HF, 48 and in the elderly population with HF. 49 A meta‐analysis including 7 follow‐up studies found that the risk of all‐cause death in patients with chronic HF with reduced ejection fraction was positively correlated with logST2 level (hazard ratio, 1.75; 95% CI, 1.37–2.22). 50 Similarly, sST2 levels were significantly increased in symptomatic patients with HF with preserved ejection fraction compared with asymptomatic patients (30.2±14.1 versus 42.8±29.0 ng/mL, P=0.04). 51 Recently, circulating sST2 was recognized as a valuable biomarker for prognostication and monitoring patients with acute HF. 52 Importantly, sST2 was listed as a category IIb recommendation for the diagnosis of HF in the 2017 American College of Cardiology/AHA focused update of guidelines for the management of HF. 53

In addition, sST2 levels were also significantly increased in patients with acute aortic dissection characterized by smooth muscle cell extension and extensive vascular injury, and the results of a prospective validation cohort suggested that it might be a potential novel biomarker and contributed to the early diagnosis of acute aortic dissection. 54 As reported by Pascual‐Figal et al, 55 ST2 concentrations significantly increased after heart transplantations when acute rejection occurred (odds ratio, 4.9; 95% CI, 1.7–14.5 [P=0.004]). Moreover, a study that enrolled 41 children who underwent heart transplantation described that sST2 levels significantly increased during incidences of heart transplantation rejection. 56 In addition, a recent study showed that ST2 deficiency markedly alleviated the thickened artery intima, complicated vascular stenosis and infiltration of inflammatory cells in allograft after heart transplantation in mice. 57 These findings indicate that serum sST2 levels could predict rejection in heart transplantation.

To our knowledge, this study provided the first evidence indicating sST2 as a robust biomarker for FM with high specificity and sensitivity. While the initial detection of sST2 was first discovered from cytokine profiling in a small cohort of patients with FM, its diagnostic performance was demonstrated in both retrospective and prospective analysis from 2 independent cohorts of FM, NFM, and FM‐unrelated patients with acute HF. However, there were some limitations in this study. Although this investigation included a relatively large number of patients with FM, it was a single‐center study. Considering the short follow‐up time, cardiovascular events may not have occurred yet since hazard ratios for primary and secondary outcomes did not reach statistical significance. In addition, compared with another study, 9 there was no active cancers or serious autoimmune diseases in our study cohort. Therefore, we need to continue follow‐up studies in the FM cohort. Moreover, we might have underestimated other cytokines that were not included in the arrays. Endomyocardial biopsy–based detections may provide more information about the specific histological‐ or viral‐associated cytokines.

Taken together, sST2 showed superior diagnostic performance to that of cTnI or NT‐proBNP in patients with FM. sST2 may be a promising inflammation‐associated biomarker for FM in the acute phase as a more reliable indicator for the dynamic onset and resolution of the inflammatory storm triggered by FM.

Sources of Funding

This work was supported by grants from the National Natural Science Foundation of China (91839302, 81630010, and 81790624 to D.W.W., and 81800335 to K.M.); the Natural Science Foundation of Hubei Province (2020CFA016 to C.C.); and the Tongji Hospital Clinical Research Flagship Program (2019CR207 to D.W.W.). No funding bodies had any role in the study design, data collection and analysis, decision to publish, or preparation of the article.

Disclosures

None.

Supporting information

Tables S1–S12

Figures S1–S4

Acknowledgments

We thank our colleagues from the Division of Cardiology, Tongji Hospital, for technical assistance and stimulating discussions during this investigation.

Author contributions: J.W. and C.C. designed the study, conducted the experiments, analyzed and interpreted the data, and drafted the article. M.H., H.L., Y.C., X.N., Y.C., R.X., L.L., P.C., Y.S., C.L., T.Y., H.Z., G.C., K.M., C.Z., and J.J. contributed to data acquisition. B.H., O.B., and A.M. revised the article. D.W.W. designed the study and drafted the article.

Supplemental Material for this article is available at https://www.ahajournals.org/doi/suppl/10.1161/JAHA.121.024417

For Sources of Funding and Disclosures, see page 13.

Contributor Information

Chen Chen, Email: chenchen@tjh.tjmu.edu.cn.

Dao Wen Wang, Email: dwwang@tjh.tjmu.edu.cn.

References

  • 1. Heymans S, Eriksson U, Lehtonen J, Cooper LT Jr. The quest for new approaches in myocarditis and inflammatory cardiomyopathy. J Am Coll Cardiol. 2016;68:2348–2364. doi: 10.1016/j.jacc.2016.09.937 [DOI] [PubMed] [Google Scholar]
  • 2. Tschope C, Cooper LT, Torre‐Amione G, Van Linthout S. Management of myocarditis‐related cardiomyopathy in adults. Circ Res. 2019;124:1568–1583. doi: 10.1161/CIRCRESAHA.118.313578 [DOI] [PubMed] [Google Scholar]
  • 3. Cooper LT Jr. Myocarditis. N Engl J Med. 2009;360:1526–1538. doi: 10.1056/NEJMra0800028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Caforio AL, Pankuweit S, Arbustini E, Basso C, Gimeno‐Blanes J, Felix SB, Fu M, Helio T, Heymans S, Jahns R, et al. Current state of knowledge on aetiology, diagnosis, management, and therapy of myocarditis: a position statement of the European Society of Cardiology working group on myocardial and pericardial diseases. Eur Heart J. 2013;34:2636–2648, 2648a–2648d. doi: 10.1093/eurheartj/eht210 [DOI] [PubMed] [Google Scholar]
  • 5. Nguyen LS, Cooper LT, Kerneis M, Funck‐Brentano C, Silvain J, Brechot N, Hekimian G, Ammirati E, Ben M’Barek B, Redheuil A, et al. Systematic analysis of drug‐associated myocarditis reported in the world health organization pharmacovigilance database. Nat Commun. 2022;13:25. doi: 10.1038/s41467-021-27631-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Wang D, Li S, Jiang J, Yan J, Zhao C, Wang Y, Ma Y, Zeng H, Guo X, Wang H, et al. Chinese society of cardiology expert consensus statement on the diagnosis and treatment of adult fulminant myocarditis. Sci China Life Sci. 2019;62:187–202. doi: 10.1007/s11427-018-9385-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Ginsberg F, Parrillo JE. Fulminant myocarditis. Crit Care Clin. 2013;29:465–483. doi: 10.1016/j.ccc.2013.03.004 [DOI] [PubMed] [Google Scholar]
  • 8. Gupta S, Markham DW, Drazner MH, Mammen PP. Fulminant myocarditis. Nat Clin Pract Cardiovasc Med. 2008;5:693–706. doi: 10.1038/ncpcardio1331 [DOI] [PubMed] [Google Scholar]
  • 9. Ammirati E, Veronese G, Brambatti M, Merlo M, Cipriani M, Potena L, Sormani P, Aoki T, Sugimura K, Sawamura A, et al. Fulminant versus acute nonfulminant myocarditis in patients with left ventricular systolic dysfunction. J Am Coll Cardiol. 2019;74:299–311. [DOI] [PubMed] [Google Scholar]
  • 10. Kociol RD, Cooper LT, Fang JC, Moslehi JJ, Pang PS, Sabe MA, Shah RV, Sims DB, Thiene G, Vardeny O, et al. Recognition and initial management of fulminant myocarditis: a scientific statement from the American Heart Association. Circulation. 2020;141:e69–e92. doi: 10.1161/CIR.0000000000000745 [DOI] [PubMed] [Google Scholar]
  • 11. Bozkurt B, Colvin M, Cook J, Cooper LT, Deswal A, Fonarow GC, Francis GS, Lenihan D, Lewis EF, McNamara DM, et al. Current diagnostic and treatment strategies for specific dilated cardiomyopathies: a scientific statement from the American Heart Association. Circulation. 2016;134:e579–e646. doi: 10.1161/CIR.0000000000000455 [DOI] [PubMed] [Google Scholar]
  • 12. Trachtenberg BH, Hare JM. Inflammatory cardiomyopathic syndromes. Circ Res. 2017;121:803–818. doi: 10.1161/CIRCRESAHA.117.310221 [DOI] [PubMed] [Google Scholar]
  • 13. Fung G, Luo H, Qiu Y, Yang D, McManus B. Myocarditis. Circ Res. 2016;118:496–514. doi: 10.1161/CIRCRESAHA.115.306573 [DOI] [PubMed] [Google Scholar]
  • 14. Topol EJ. Covid‐19 can affect the heart. Science. 2020;370:408–409. doi: 10.1126/science.abe2813 [DOI] [PubMed] [Google Scholar]
  • 15. Caforio AL. Receipt of mRNA vaccine against Covid‐19 and myocarditis. N Engl J Med. 2021;385:2189–2190. doi: 10.1056/NEJMe2116493 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Zhang L, Han B, Wang J, Liu Q, Kong Y, Jiang D, Jia H. Differential expression profiles and functional analysis of circular RNAs in children with fulminant myocarditis. Epigenomics. 2019;11:1129–1141. doi: 10.2217/epi-2019-0101 [DOI] [PubMed] [Google Scholar]
  • 17. Li S, Xu S, Li C, Ran X, Cui G, He M, Miao K, Zhao C, Yan J, Hui R, et al. A life support‐based comprehensive treatment regimen dramatically lowers the in‐hospital mortality of patients with fulminant myocarditis: a multiple center study. Sci China Life Sci. 2019;62:369–380. doi: 10.1007/s11427-018-9501-9 [DOI] [PubMed] [Google Scholar]
  • 18. Friedrich MG, Sechtem U, Schulz‐Menger J, Holmvang G, Alakija P, Cooper LT, White JA, Abdel‐Aty H, Gutberlet M, Prasad S, et al. Cardiovascular magnetic resonance in myocarditis: a JACC white paper. J Am Coll Cardiol. 2009;53:1475–1487. doi: 10.1016/j.jacc.2009.02.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, et al. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation. 2013;128:e240–e327. doi: 10.1161/CIR.0b013e31829e8776 [DOI] [PubMed] [Google Scholar]
  • 20. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JG, Coats AJ, Falk V, González‐Juanatey JR, Harjola VP, Jankowska EA, et al. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2016;37:2129–2200. doi: 10.1093/eurheartj/ehw128 [DOI] [PubMed] [Google Scholar]
  • 21. Li H, Chen C, Fan J, Yin Z, Ni L, Cianflone K, Wang Y, Wang DW. Identification of cardiac long non‐coding RNA profile in human dilated cardiomyopathy. Cardiovasc Res. 2018;114:747–758. doi: 10.1093/cvr/cvy012 [DOI] [PubMed] [Google Scholar]
  • 22. DeLong ER, DeLong DM, Clarke‐Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–845. doi: 10.2307/2531595 [DOI] [PubMed] [Google Scholar]
  • 23. Choi BC. Slopes of a receiver operating characteristic curve and likelihood ratios for a diagnostic test. Am J Epidemiol. 1998;148:1127–1132. doi: 10.1093/oxfordjournals.aje.a009592 [DOI] [PubMed] [Google Scholar]
  • 24. Richardson P, McKenna W, Bristow M, Maisch B, Mautner B, O'Connell J, Olsen E, Thiene G, Goodwin J, Gyarfas I, et al. Report of the 1995 World Health Organization/International Society and Federation Of Cardiology Task Force on the definition and classification of cardiomyopathies. Circulation. 1996;93:841–842. [DOI] [PubMed] [Google Scholar]
  • 25. Heidecker B, Williams SH, Jain K, Oleynik A, Patriki D, Kottwitz J, Berg J, Garcia JA, Baltensperger N, Lovrinovic M, et al. Virome sequencing in patients with myocarditis. Circ Heart Fail. 2020;13:e007103. doi: 10.1161/CIRCHEARTFAILURE.120.007103 [DOI] [PubMed] [Google Scholar]
  • 26. Kakkar R, Lee RT. The IL‐33/ST2 pathway: therapeutic target and novel biomarker. Nat Rev Drug Discov. 2008;7:827–840. doi: 10.1038/nrd2660 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Weinberg EO, Shimpo M, De Keulenaer GW, MacGillivray C, Tominaga S, Solomon SD, Rouleau JL, Lee RT. Expression and regulation of ST2, an interleukin‐1 receptor family member, in cardiomyocytes and myocardial infarction. Circulation. 2002;106:2961–2966. doi: 10.1161/01.CIR.0000038705.69871.D9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Perez‐Martinez MT, Lacunza‐Ruiz J, Garcia de Lara J, Noguera‐Velasco JA, Lax A, Hernandez‐Vicente A, Asensio‐Lopez MC, Januzzi JL Jr, Ibanez B, Pascual‐Figal DA. Noncardiac production of soluble ST2 in ST‐segment elevation myocardial infarction. J Am Coll Cardiol. 2018;72:1429–1430. doi: 10.1016/j.jacc.2018.06.062 [DOI] [PubMed] [Google Scholar]
  • 29. Eklund CM. Proinflammatory cytokines in CRP baseline regulation. Adv Clin Chem. 2009;48:111–136. [DOI] [PubMed] [Google Scholar]
  • 30. Blanco‐Domínguez R, Sánchez‐Díaz R, de la Fuente H, Jiménez‐Borreguero LJ, Matesanz‐Marín A, Relaño M, Jiménez‐Alejandre R, Linillos‐Pradillo B, Tsilingiri K, Martín‐Mariscal ML, et al. A novel circulating microRNA for the detection of acute myocarditis. N Engl J Med. 2021;384:2014–2027. doi: 10.1056/NEJMoa2003608 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Nie X, He M, Wang J, Chen P, Wang F, Lai J, Li C, Yu T, Zuo H, Cui G, et al. Circulating miR‐4763‐3p is a novel potential biomarker candidate for human adult fulminant myocarditis. Mol Ther Methods Clin Dev. 2020;17:1079–1087. doi: 10.1016/j.omtm.2020.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Ammirati E, Cipriani M, Lilliu M, Sormani P, Varrenti M, Raineri C, Petrella D, Garascia A, Pedrotti P, Roghi A, et al. Survival and left ventricular function changes in fulminant versus nonfulminant acute myocarditis. Circulation. 2017;136:529–545. doi: 10.1161/CIRCULATIONAHA.117.026386 [DOI] [PubMed] [Google Scholar]
  • 33. Coronado MJ, Bruno KA, Blauwet LA, Tschope C, Cunningham MW, Pankuweit S, van Linthout S, Jeon ES, McNamara DM, Krejci J, et al. Elevated sera sST2 is associated with heart failure in men </=50 years old with myocarditis. J Am Heart Assoc. 2019;8:e008968. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Aimo A, Januzzi JL, Vergaro G, Richards AM, Lam CS, Latini R, Anand IS, Cohn JN, Ueland T, Gullestad L, et al. Circulating levels and prognostic value of soluble ST2 in heart failure are less influenced by age than N‐terminal pro‐B‐type natriuretic peptide and high‐sensitivity troponin T. Eur J Heart Fail. 2020;22:2078–2088. doi: 10.1002/ejhf.1701 [DOI] [PubMed] [Google Scholar]
  • 35. Felker GM, Hasselblad V, Tang WH, Hernandez AF, Armstrong PW, Fonarow GC, Voors AA, Metra M, McMurray JJ, Butler J, et al. Troponin I in acute decompensated heart failure: insights from the ASCEND‐HF study. Eur J Heart Fail. 2012;14:1257–1264. doi: 10.1093/eurjhf/hfs110 [DOI] [PubMed] [Google Scholar]
  • 36. Grodin JL, Butler J, Metra M, Felker GM, Voors AA, Mcmurray JJ, Armstrong PW, Hernandez AF, O'connor C, Starling RC, et al. Circulating cardiac troponin I levels measured by a novel highly sensitive assay in acute decompensated heart failure: insights from the ASCEND‐HF trial. J Card Fail. 2018;24:512–519. doi: 10.1016/j.cardfail.2018.06.008 [DOI] [PubMed] [Google Scholar]
  • 37. Garlanda C, Dinarello CA, Mantovani A. The interleukin‐1 family: back to the future. Immunity. 2013;39:1003–1018. doi: 10.1016/j.immuni.2013.11.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Gachter T, Werenskiold AK, Klemenz R. Transcription of the interleukin‐1 receptor‐related T1 gene is initiated at different promoters in mast cells and fibroblasts. J Biol Chem. 1996;271:124–129. doi: 10.1074/jbc.271.1.124 [DOI] [PubMed] [Google Scholar]
  • 39. Griesenauer B, Paczesny S. The ST2/Il‐33 axis in immune cells during inflammatory diseases. Front Immunol. 2017;8:475. doi: 10.3389/fimmu.2017.00475 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Ghali R, Altara R, Louch WE, Cataliotti A, Mallat Z, Kaplan A, Zouein FA, Booz GW. IL‐33 (interleukin 33)/sST2 axis in hypertension and heart failure. Hypertension. 2018;72:818–828. doi: 10.1161/HYPERTENSIONAHA.118.11157 [DOI] [PubMed] [Google Scholar]
  • 41. Pascual‐Figal DA, Bayes‐Genis A, Asensio‐Lopez MC, Hernandez‐Vicente A, Garrido‐Bravo I, Pastor‐Perez F, Diez J, Ibanez B, Lax A. The interleukin‐1 axis and risk of death in patients with acutely decompensated heart failure. J Am Coll Cardiol. 2019;73:1016–1025. doi: 10.1016/j.jacc.2018.11.054 [DOI] [PubMed] [Google Scholar]
  • 42. Kraft L, Erdenesukh T, Sauter M, Tschope C, Klingel K. Blocking the IL‐1beta signalling pathway prevents chronic viral myocarditis and cardiac remodeling. Basic Res Cardiol. 2019;114:11. [DOI] [PubMed] [Google Scholar]
  • 43. Luconi N, Risse J, Busato T, Galland J, Mandry D, Voilliot D, Mohamed S, Zuily S, Wahl D. Myocarditis in a young man with adult onset Still's disease successfully treated with Il‐1 blocker. Int J Cardiol. 2015;189:220–222. doi: 10.1016/j.ijcard.2015.04.071 [DOI] [PubMed] [Google Scholar]
  • 44. Mildner M, Storka A, Lichtenauer M, Mlitz V, Ghannadan M, Hoetzenecker K, Nickl S, Dome B, Tschachler E, Ankersmit HJ. Primary sources and immunological prerequisites for sST2 secretion in humans. Cardiovasc Res. 2010;87:769–777. doi: 10.1093/cvr/cvq104 [DOI] [PubMed] [Google Scholar]
  • 45. Silvester W. Mediator removal with CRRT: complement and cytokines. Am J Kidney Dis. 1997;30:S38–S43. doi: 10.1016/S0272-6386(97)90541-2 [DOI] [PubMed] [Google Scholar]
  • 46. Zhai Y, Pan J, Zhang C. The application value of oXiris‐endotoxin adsorption in sepsis. Am J Transl Res. 2021;13:3839–3844. [PMC free article] [PubMed] [Google Scholar]
  • 47. Ky B, French B, McCloskey K, Rame JE, McIntosh E, Shahi P, Dries DL, Tang WH, Wu AH, Fang JC, et al. High‐sensitivity ST2 for prediction of adverse outcomes in chronic heart failure. Circ Heart Fail. 2011;4:180–187. doi: 10.1161/CIRCHEARTFAILURE.110.958223 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Broch K, Ueland T, Nymo SH, Kjekshus J, Hulthe J, Muntendam P, McMurray JJ, Wikstrand J, Cleland JG, Aukrust P, et al. Soluble ST2 is associated with adverse outcome in patients with heart failure of ischaemic aetiology. Eur J Heart Fail. 2012;14:268–277. doi: 10.1093/eurjhf/hfs006 [DOI] [PubMed] [Google Scholar]
  • 49. Parikh RH, Seliger SL, Christenson R, Gottdiener JS, Psaty BM, deFilippi CR. Soluble ST2 for prediction of heart failure and cardiovascular death in an elderly, community‐dwelling population. J Am Heart Assoc. 2016;5. doi: 10.1161/JAHA.115.003188 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Aimo A, Vergaro G, Passino C, Ripoli A, Ky B, Miller WL, Bayes‐Genis A, Anand I, Januzzi JL, Emdin M. Prognostic value of soluble suppression of tumorigenicity‐2 in chronic heart failure: a meta‐analysis. JACC Heart Fail. 2017;5:280–286. doi: 10.1016/j.jchf.2016.09.010 [DOI] [PubMed] [Google Scholar]
  • 51. Nagy AI, Hage C, Merkely B, Donal E, Daubert JC, Linde C, Lund LH, Manouras A. Left atrial rather than left ventricular impaired mechanics are associated with the pro‐fibrotic ST2 marker and outcomes in heart failure with preserved ejection fraction. J Intern Med. 2018;283:380–391. doi: 10.1111/joim.12723 [DOI] [PubMed] [Google Scholar]
  • 52. van Vark LC, Lesman‐Leegte I, Baart SJ, Postmus D, Pinto YM, Orsel JG, Westenbrink BD, Brunner‐la Rocca HP, van Miltenburg AJM, Boersma E, et al. Prognostic value of serial ST2 measurements in patients with acute heart failure. J Am Coll Cardiol. 2017;70:2378–2388. doi: 10.1016/j.jacc.2017.09.026 [DOI] [PubMed] [Google Scholar]
  • 53. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Colvin MM, Drazner MH, Filippatos GS, Fonarow GC, Givertz MM, et al. 2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. Circulation. 2017;136:e137–e161. doi: 10.1161/CIR.0000000000000509 [DOI] [PubMed] [Google Scholar]
  • 54. Wang Y, Tan X, Gao H, Yuan H, Hu R, Jia L, Zhu J, Sun L, Zhang H, Huang L, et al. Magnitude of soluble ST2 as a novel biomarker for acute aortic dissection. Circulation. 2018;137:259–269. doi: 10.1161/CIRCULATIONAHA.117.030469 [DOI] [PubMed] [Google Scholar]
  • 55. Pascual‐Figal DA, Garrido IP, Blanco R, Minguela A, Lax A, Ordonez‐Llanos J, Bayes‐Genis A, Valdes M, Moore SA, Januzzi JL. Soluble ST2 is a marker for acute cardiac allograft rejection. Ann Thorac Surg. 2011;92:2118–2124. doi: 10.1016/j.athoracsur.2011.07.048 [DOI] [PubMed] [Google Scholar]
  • 56. Mathews LR, Lott JM, Isse K, Lesniak A, Landsittel D, Demetris AJ, Sun Y, Mercer DF, Webber SA, Zeevi A, et al. Elevated ST2 distinguishes incidences of pediatric heart and small bowel transplant rejection. Am J Transplant. 2016;16:938–950. doi: 10.1111/ajt.13542 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Zhang Z, Zhang NA, Shi J, Dai C, Wu S, Jiao M, Tang X, Liu Y, Li X, Xu Y, et al. Allograft or recipient ST2 deficiency oppositely affected cardiac allograft vasculopathy via differentially altering immune cells infiltration. Front Immunol. 2021;12:657803. doi: 10.3389/fimmu.2021.657803 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Tables S1–S12

Figures S1–S4


Articles from Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease are provided here courtesy of Wiley

RESOURCES