Association Between Growth Differentiation Factor-15 and Coagulation Parameters in Male Chinese Patients With Coronary Artery Disease

Huan Liu , Yongnan Lyu , Wen Dai , Yan Li

Reviews in Cardiovascular Medicine ›› 2026, Vol. 27 ›› Issue (1) : 43150

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Reviews in Cardiovascular Medicine ›› 2026, Vol. 27 ›› Issue (1) :43150 DOI: 10.31083/RCM43150
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Association Between Growth Differentiation Factor-15 and Coagulation Parameters in Male Chinese Patients With Coronary Artery Disease
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Abstract

Background:

Growth differentiation factor-15 (GDF-15) has emerged as a novel biomarker for coronary artery disease (CAD). Although the hypercoagulable state is recognized as a biological mechanism that triggers cardiac events in CAD, the relationship between GDF-15 and coagulation parameters in patients with CAD remains unclear. Thus, this study aimed to investigate the potential relationship between GDF-15 and coagulation parameters in male Chinese patients with CAD.

Methods:

In total, 892 subjects were enrolled between January 2020 and December 2020, including 592 with CAD and 300 controls. The serum levels of GDF-15, blood cell count, glucose, serum lipids, and coagulation parameters were measured. Kruskal–Wallis or one-way ANOVA with post hoc tests (Holm–Sidak and Dunn's tests), as well as univariate/multivariate linear regression analyses, were used to determine the correlation between GDF-15 and coagulation parameters in male patients with CAD.

Results:

Compared to controls, patients with acute myocardial infarction (AMI) and stable angina (SA) showed significantly higher levels of GDF-15 (p < 0.05). Multivariate linear regression revealed that GDF-15 levels were positively associated with activated partial thromboplastin time (APTT) in patients with CAD (β = 0.109, p = 0.024), and inversely associated with antithrombin III (AT3) (β = –0.113, p = 0.028) in an adjusted multivariate regression model. Meanwhile, in a multivariate regression model adjusted for other variables, the GDF-15 levels in patients with SA were inversely associated with AT3 (β = –0.191, p = 0.036). After adjusting for confounders, the GDF-15 levels were positively associated with APTT (β = 0.174, p = 0.002) and inversely associated with monocyte count (β = –0.159, p = 0.025) in patients with AMI.

Conclusions:

Elevated levels of GDF-15 in male CAD patients are associated with altered coagulation parameters, suggesting that GDF-15 may serve as a compensatory marker for coagulation parameter instability. These results underscore the potential clinical value of GDF-15 as a novel biomarker for assessing the coagulation status in patients with CAD, especially in the acute coronary syndrome (ACS) subgroup.

Graphical abstract

Keywords

growth differentiation factor-15 / coronary artery disease / coagulation / acute coronary syndrome

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Huan Liu, Yongnan Lyu, Wen Dai, Yan Li. Association Between Growth Differentiation Factor-15 and Coagulation Parameters in Male Chinese Patients With Coronary Artery Disease. Reviews in Cardiovascular Medicine, 2026, 27(1): 43150 DOI:10.31083/RCM43150

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1. Introduction

Coronary artery disease (CAD), the leading cause of death worldwide, is characterized by reversible myocardial ischemia due to demand/supply mismatch [1]. Acute coronary syndromes (ACS), the primary clinical manifestation of coronary atherosclerosis, are typically caused by plaque rupture and subsequent thrombus formation in epicardial arteries, leading to acute occlusion [2]. Thrombosis plays a central role in the pathophysiology of ACS, which is driven by interrelated mechanisms, such as endothelial dysfunction, inflammation, and coagulation. Systemic inflammation promotes a proatherogenic state by upregulating prothrombotic factors and cell adhesion molecules, thereby activating platelets and facilitating clot formation [3]. Thus, coagulation status critically affects the development and progression of CAD.

Growth differentiation factor-15 (GDF-15), a member of the transforming growth factor-β superfamily [4, 5], is markedly upregulated in pathological conditions, like inflammation, cardiac injury, and oxidative stress [6, 7, 8]. Emerging evidence highlights the role of GDF-15 as a biomarker in cardiovascular diseases, including CAD [9, 10, 11] and links it to thrombosis. In early atherosclerosis, GDF-15 recruits macrophages to plaques [12]. Consistently, GDF-15 deficiency enhances plaque stability by reducing macrophage migration and increasing collagen deposition [13]. Notably, GDF-15 independently predicts bleeding risk in atrial fibrillation [14, 15, 16] and correlates with the risk of venous thromboembolism risk and thrombus burden in deep venous thrombosis [17, 18]. However, direct evidence linking GDF-15 to coagulation parameters in CAD remains scarce.

The prognostic value of GDF-15 in CAD, which predicts mortality and disease progression [9], makes it clinically relevant [19, 20]. Concurrently, assessing the coagulation status is vital for managing the risk of thrombosis/bleeding. Elevated levels of GDF-15 after ACS are associated with bleeding risk [15], and thrombogenesis in acute myocardial infarction (AMI) alters peripheral vascular responses compared to stable CAD [21]. GDF-15 combined with conventional coagulation markers, such as activated partial thromboplastin time (APTT), which correlates with the clinical presentation of patients undergoing angiography [22], may help guide the management of CAD. Although no studies have directly investigated the association between GDF-15 and coagulation in CAD.

This study is the first to investigate the associations between GDF-15 and coagulation parameters (prothrombin time, (PT), APTT, fibrinogen, thrombin time (TT), D-dimer, and antithrombin III (AT3)) in male patients with CAD, including those with ACS and SA subgroups.

2. Materials and Methods

2.1 Study Population and Eligibility Criteria

This retrospective cross-sectional study enrolled male patients who underwent elective coronary angiography for suspected CAD (including SA and ACS) at the Renmin Hospital of Wuhan University between January 2020 and December 2020. Individuals with other severe comorbidities, such as active infection, pulmonary edema, chronic/acute kidney injury, or those undergoing recent thrombolysis, were excluded. In total, 892 patients were finally enrolled. Participants with 50% stenosis in one major coronary artery or 30%–50% stenosis in coronary angiography with evidence of ischemia (resting or stress-induced) were included in the CAD group. Patients with completely normal coronary arteries and those with all coronary artery occlusions less than 50% without significant stenosis were included in the control group (Fig. 1).

The study protocol was approved by the Medical Ethics Review Committee of Renmin Hospital, Wuhan University, and complied with the Declaration of Helsinki. Written informed consent was obtained from all participants.

2.2 Angiography

Two blinded radiologists evaluated the severity of stenosis based on the Gensini score [23]. Vascular disease was classified as 0–3 based on the affected arteries (left anterior descending, left circumflex, right coronary). Left main trunk involvement was scored as 2-vessel disease.

2.3 Definitions

In this study, SA was defined as a myocardial ischemia/hypoxia due to 50% coronary occlusion [24]. ACS was defined as ST-segment elevation myocardial infarction, non-ST-segment elevation myocardial infarction, and unstable angina following the current guidelines [25].

2.4 Laboratory Measurements

Blood samples from patients with AMI were collected immediately upon hospitalization due to the urgency of their medical condition. For other patients, venipuncture was conducted in the morning after an overnight fast. Venous blood sample was drawn into plain tubes, centrifuged at 3500 rpm/min at 25 °C for 15 minutes, and the separated plasma/serum was stored at –80 °C until analysis.

Complete blood count (white blood count (WBC), neutrophils (Neu), monocytes (Mono), and lymphocytes (Lym)) was analyzed using a Sysmex XN-20 hematology analyzer (Kobe, Japan). Serum biochemical parameters (total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), and glucose) were quantified using an ADVIA 2400 biochemistry analyzer (Siemens, Munich, Germany). GDF-15 levels were measured via Elecsys® electrochemiluminescent immunoassay (Roche Diagnostics, Basel, Switzerland; research-use-only in China; detection range: 400–20,000 ng/L). Coagulation tests (APTT, PT, TT, and fibrinogen) were conducted on a CS-5100 analyzer (Sysmex, Kobe, Japan) using the clotting method, while D-dimer (immunoturbidimetry) and AT3 (chromogenic substrate method) were assayed on the same platform.

All procedures were conducted strictly following the specifications by the manufacturer and package insert guidelines.

2.5 Statistical Analysis

Continuous variables are presented as median (interquartile range [IQR]) or mean ± SD, and categorical variables are summarized as frequencies (percentages) for baseline characteristics and laboratory parameters. Patients with CAD were divided into high, medium, and low GDF-15 groups based on their tertiles [26]. Continuous variables were compared among the three groups using one-way ANOVA or the nonparametric Kruskal-Wallis test. For significant omnibus tests (p < 0.05), post hoc analyses were conducted using the following approaches: (a) Holm-Sidak method for normally distributed data, or (b) Dunn’s test with Holm adjustment for data with non-normal distributions. All comparisons were conducted at a 5% overall significance level. Categorical variables were analyzed using the Pearson chi-square test or Fisher’s exact test, as appropriate. Univariate/multivariate linear regression was employed to assess the relationship between serum levels of GDF-15 and coagulation parameters. Independent variables were selected through stepwise regression to avoid collinearity and to fit the optimal model.

A two-sided p-value < 0.05 was considered statistically significant. Analyses were conducted using IBM SPSS 23.0 (IBM Corp., Armonk, NY, USA) and GraphPad Prism 7.0 (GraphPad Software, La Jolla, CA, USA).

3. Results

3.1 Baseline Characteristics

There were no significant differences in terms of the distribution of age, hypertension, diabetes and smoking among patients with SA, those with ACS, and controls (p > 0.05) (Table 1). However, the levels of inflammatory markers (WBC, Neu, and Mono), glucose, and TG in the SA, and ACS groups were higher than those in the control group (p < 0.05). Additionally, the SA and ACS groups had significantly lower Lym and PLT count (p < 0.05). Notably, GDF-15 levels were significantly higher in the ACS group compared to the control and SA groups (p < 0.05).

3.2 Characteristics of Patients With CAD Based on GDF-15 Tertiles

We also analyzed the characteristics of patients with CAD stratified by GDF-15 tertiles (Table 2). Patients with the higher tertile of GDF-15 were more likely to have diabetes and hypertension, higher levels of inflammatory markers (WBC, Neu, and Mono) and lipids (high TC, TG, and low HDL-c), and a high Gensini score. No significant differences were observed among the three subgroups in terms of glucose, LDL-c, and PLT (p > 0.05). Regarding coagulation parameters, we observed significant differences among the three subgroups of GDF-15. Generally, PT and APTT were prolonged, and fibrinogen and D-dimer levels increased with increasing GDF-15 tertiles, while the activity of AT3 was significantly decreased.

3.3 Univariate Linear Regression Analyses

Univariate linear regression analyses were conducted to determine the correlations among GDF-15 levels, inflammatory markers, and blood lipids in all participants and subgroups. GDF-15 was positively correlated with age, leukocyte, neutrophil, monocyte count, PT, APTT, and D-dimer, and negatively correlated with lymphocyte count, TC, and AT3 in all patients with CAD and in the AMI subgroup (Tables 3,4). In contrast, in patients with SA, only age was positively correlated with GDF-15 levels (Table 5).

3.4 Multivariate Linear Regression Analyses

Multivariate linear regression analyses were conducted to determine the associations between GDF-15 levels, inflammatory markers, and blood lipids among all participants with CAD and subgroups of CAD. In patients with CAD, GDF-15 levels were positively associated with neutrophil count (β = 0.330, p < 0.001) and APTT (β = 0.109, p = 0.024) and inversely associated with AT3 (β = –0.113, p = 0.028) after adjusting for confounders (Table 6). After adjusting for confounders, GDF-15 levels were positively associated with monocyte count (β = 0.400, p < 0.001) and inversely associated with AT3 (β = –0.191, p = 0.036) in patients with SA (Table 7). In patients with AMI, GDF-15 levels were positively associated with APTT (β = 0.174, p = 0.002) and neutrophil count (β = 0.439, p < 0.001) and inversely associated with monocyte count (β = –0.159, p = 0.025) in adjusted multivariate regression model (Table 8).

4. Discussion

This retrospective study analyzed data from 592 patients with CAD to investigate the relationship between circulating GDF-15 levels and coagulation parameters. The results showed a positive association between GDF-15 and APTT and and inverse association between GDF-15 and AT3 after controlling for potential confounders. To our best knowledge, this was the first study to investigate the relationship between GDF-15 and coagulation parameters among male patients with CAD.

GDF-15 is typically expressed at low levels in various organs, including the liver, lungs, and kidneys, but is upregulated in chronic diseases [27]. A substantial body of research indicates that elevated GDF-15 level is a strong and independent predictor of mortality and disease progression in patients with atherosclerosis and CAD, such as SA and ACS [28, 29, 30]. Importantly, CAD is an age-related condition associated with chronic inflammation. Inflammation was shown to affect the development of atherosclerosis, including its initiation, progression, rupture and thrombosis [31]. Angiogenesis plays a significant role in the progression of atherosclerotic plaques and complications [32, 33]. The local inflammatory response of atherosclerotic plaques promotes angiogenesis by activating endothelial cells, releasing chemokines, cytokines, growth factors, lipid mediators, and proteases and increasing endothelial metabolism. Angiogenesis allows the extravasation of plasma components, leading to thromboembolic events [34]. Plaque angiogenesis and intraplaque hemorrhage are the key factors leading to unstable lesions [35]. De Jager et al. [12] and Bonaterra et al. [13] suggested that GDF-15 may modulate monocyte and macrophage activation, contributing to a prothrombotic state via cytokine-driven endothelial dysfunction and tissue factor expression. Moreover, Dong et al. [36] revealed that GDF-15 can phosphorylate Src and its downstream pathways to induce the pro-angiogenic effects. These findings imply the regulatory role of GDF-15 in angiogenesis and cell proliferation in atherosclerosis [36]. Based on these findings, GDF-15 may affect coagulation pathways by regulating inflammation and angiogenesis in CAD, especially in ACS.

GDF-15 increases the risk of atherosclerosis through multiple mechanisms. For instance, it promotes CCR2-mediated macrophage chemotaxis toward atherosclerotic plaques and interleukin-6-dependent inflammatory responses [12, 13]. In this study, the ACS and SA groups exhibited significantly higher levels of inflammatory markers (WBC, Neu, and Mono), glucose, and lipids (TG) and lower Lym count compared to controls (p < 0.01). These differences in inflammatory markers levels may reflect GDF-15 upregulation in response to inflammatory or stress stimuli [37]. Additionally, elevated serum levels of GDF-15 were found to be correlated with abnormal lipid profiles, aligning with the findings of previous studies linking GDF-15 to dyslipidemia [29, 38]. In this study, the concentration of TC in the control group was higher than that in SA and AMI. An explanation for this may be the appropriate levels and criteria for judging elevated LDL-c for different groups of people with varying atherosclerotic cardiovascular disease risks, as well as the LDL-c levels at which to initiate lipid-lowering drug treatment and the treatment targets for LDL-c, are all different [39, 40]. Consistently, our study confirmed higher levels of GDF-15 in patients with CAD than in controls. Activated platelets exacerbated the development of atherosclerosis by releasing chemokines, which dominate the inflammatory response in ACS [36]. There was no difference in terms platelet count among SA, AMI, and normal coronary groups, or between thrombotic and non-thrombotic myocardial infarction [41, 42]. In this study, platelet count was lower in patients with SA and AMI compared to controls. This might be due to the fact that the antiplatelet therapy was more stringent for patients with SA and AMI. In addition, we only analyzed the use of aspirin but omitted other antiplatelet such as ticagrelor and clopidogrel or anticoagulant agents due to the lack of data. In a previous study, circulating GDF-15 was positively and non-linearly associated with the prevalence of hypertension [43]. GDF-15 was reported to be regulated in diabetes and control insulin sensitivity in mice via the glial-cell-line-derived neurotrophic factor (GDNF) family receptor α-like receptor [44]. To analyze the relationship between GDF-15 and coagulation parameters, patients with CAD were stratified by GDF-15 tertile. Consistent with previous reports, higher tertiles of GDF-15 were associated with older age, diabetes, and hypertension, which are established risk factors for complications and mortality in those with CAD [45]. This study is the first to report the associations between GDF-15 and coagulation parameters. Matusik et al. [46] reported that GDF-15 is positively correlated with endogenous thrombin potential and clot lysis time. Fibrinogen is a key component of atherogenesis [47], contributing to thrombosis, inflammation, and blood viscosity. Lippi et al. [48] reported that GDF-15 is independently correlated with platelet function and fibrinogen levels in healthy adults. These findings explain the positive correlation between GDF-15 and fibrinogen in univariate linear regression analysis. After adjusting for confounders, multivariate linear regression analyses indicated that GDF-15 levels were positively associated with APTT and inversely associated with AT3. Antithrombin is a critical serine protease inhibitor whose heparin-bound form mediates anticoagulation [49]. ACS involves acute coronary occlusion, impairing the balance between coagulation and anticoagulation, suggesting that GDF-15 may offer additional insights into the coagulation status in ACS.

In addition to its associations with inflammation and stress, elevated levels of GDF-15 have been independently linked to an increased risk of stroke, systemic embolic events, and major bleeding [50, 51, 52]. Notably, Siegbahn et al. [53] found that high concentrations of GDF-15 significantly predict major bleeding in patients with atrial fibrillation receiving anticoagulants. Furthermore, Matusik et al. [46] reported that elevated levels of GDF-15 independently predict impaired fibrin clot lysis in patients with atrial fibrillation, possibly due to its association with prothrombotic alterations. Together, these studies highlight the importance of GDF-15 in coagulation.

Several limitations of this study should be acknowledged. Firstly, there was a lack of data regarding the relationship between GDF-15 levels and clinical outcomes, including survival and major adverse cardiovascular events (MACE). Secondly, the study exclusively enrolled male patients with CAD. Although this approach was adopted to control for gender-specific confounding factors, significant gender differences exist regarding the prevalence of CAD. Thirdly, as a case-control study with a relatively small sample size, the present study can only demonstrate an association between GDF-15 and coagulation parameters, but could not establish a causal relationship. Future studies with larger sample sizes or longitudinal designs are warranted to elucidate this relationship. Finally, this study only assessed the use of aspirin and ignored other antiplatelet (e.g., ticagrelor, clopidogrel) or anticoagulant agents (e.g., NOACs, warfarin), and future study is required for further investigation of this relationship.

5. Conclusions

In summary, this study showed significant associations between elevated serum levels of GDF-15 and multiple coagulation parameters, particularly APTT and AT3. These findings suggest that GDF-15 can serve as a compensatory marker for coagulation instability. These results underscore the potential clinical application of GDF-15 as a novel biomarker for assessing the coagulation status in male patients with CAD, especially in the ACS subgroup.

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Funding

Fundamental Research Funds for Central Universities(2042021kf0109)

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