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Introduction

Venous thromboembolism (VTE), including deep venous thrombosis (DVT) and pulmonary embolism (PE), is the third most common cardiovascular disease following myocardial infarction and stroke, with ~10 million new cases diagnosed worldwide each year (1). VTE is associated with a relatively high mortality rate and in a 25-year (1966-1990) inception cohort (n=2218) of Olmsted County, Minnesota, 6% of patients with DVT and 10% of patients with PE died within 30 days after disease onset (2). The long-term morbidity and mortality related to VTE mainly results from complications such as post-thrombotic syndrome, recurrent venous thromboembolism and chronic thromboembolic pulmonary hypertension (3). Due to its nonspecific clinical manifestations, the misdiagnosis and omission rate of VTE is relatively high (1). It is important to examine the dynamic changes of thrombus and the underlying molecular mechanisms of VTE in order to provide patients with a diagnosis and treatment strategies.

Previous studies have revealed that risk factors such as hypercoagulability, stasis, vascular wall damage or dysfunction may increase the risk of VTE (1). Thrombomodulin (TM), which is a specific molecular marker for vascular endothelial cell damage, is a transmembrane glycoprotein that exists on the surface of vascular endothelial cells and serves as a cofactor for thrombin-mediated activation of protein C (PC), which is a major anticoagulant that downregulates thrombin formation and decreases thrombus formation (4,5). Elevated TM levels can be detected in different types of body fluid in a variety of diseases associated with endothelial cell injuries (4). In a previous study, plasma TM levels were reported to be increased in patients with VTE and were positively correlated with Caprini score (6). Furthermore, familial TM deficiency has been linked to the most common inherited thrombotic disorders (7). TM has also been reported to be associated with the formation of DVT; however, few reports have examined the dynamic changes of TM during the evolution of DVT.

The increased expression of TM commonly occurs during inflammation and tumor development, both of which are closely associated with the NF-κB signaling pathway (8,9). Increased TM expression has been observed in bladder cancer, pancreatic cancer, prostate cancer and sepsis, and has been demonstrated to be closely associated with the activation of NF-κB (10-14). Previous studies have suggested that the occurrence of DVT is closely associated with inflammation (15), and is regulated via the Sirtuin-1/NF-κB signaling pathway (16). However, to the best of our knowledge, whether TM is also regulated by NF-κB during the evolution of DVT has yet to be determined.

The current study aimed to examine the expression of TM during the evolution of DVT and to explore its potential association with the NF-κB pathway using pyrrolidine dithiocarbamate (PDTC), which is an inhibitor of NF-κB (17,18). The current study also aimed to identify novel diagnosis and treatment strategies that could be used in patients with DVT.

Materials and methods

Patients

A total of 48 consecutive patients diagnosed with DVT at the Affiliated Hospital of Nantong University (Nantong, Jiangsu, China) from April 2019 to December 2019 were enrolled in the present study. The levels of TM of DVT patients were analyzed in the 3 age groups, which were defined as the Y group (<64 years; n=26), M group (65-74 years; n=11) and the O group (>75 years; n=10). Patients with any acute or chronic infection or cancer-related diseases were excluded. Additionally, a total of 23 age and sex matched healthy individuals were enrolled at Affiliated Hospital of Nantong University (Nantong, Jiangsu, China) from May 2019 to September 2019 as controls in the current study. Venous blood (2 ml) was drawn from the patients with DVT and healthy controls, and collected in sterile tubes. The present study was approved by the Ethics Committee of Affiliated Hospital of Nantong University, and all participants were required to provide their written informed consent before enrollment. Clinical characteristics of patients in these two groups are summarized in Table I.

Table I Baseline characteristics of patients in the DVT and control group.

Table I

Baseline characteristics of patients in the DVT and control group.

Characteristic	Control (N=23)	DVT (N=48)	P-value
Age, years	52.77±13.93	59.68±18.16	0.119
Sex, male	11	21	0.802
Body mass index, kg/m2	24.33±3.48	24.50±3.29	0.849
Diabetes	0	10	0.02
Hypertension	0	15	0.002
Smoking	0	0	-
Malignant disease	0	0	-
Recent surgery or immobilization	0	0	-
VTE history	0	0	-

[i] DVT, deep venous thrombosis, VTE, venous thromboembolism.

Experimental animals and grouping

Sexually mature male Sprague-Dawley rats (weight, 300±20 g; n=76) that were 10-12 weeks of age, were purchased from the Laboratory Animal Center of Nantong University. The rats were kept under a 12 h light/dark cycle, a temperature of 23±3˚C and a humidity of 55-60%, and had free access to chow and water. All protocols were approved by the institutional review board for animal experiments at Nantong University. A total of 9 different time points of the DVT model group (1, 4, 6, 12 and 24 h, and at 3, 7, 14 and 21 days) and a control group were used to investigate the expression of TM and NF-κB during the evolution of DVT (n=6x10). In order to further investigate the underlying NF-κB pathway, another 16 rats were divided randomly into 4 groups: i) DVT model group (0 mg/kg PDTC); ii) DVT rats treated with 50 mg/kg PDTC; iii) DVT rats treated with 100 mg/kg PDTC; iv) DVT rats treated with 150 mg/kg PDTC, n=4x4).

DVT animal model

Inferior vena cava (IVC) stenosis procedures were performed as described previously under aseptic conditions to establish the DVT model (16,19). Specifically, 90% ligation of IVC and complete ligation of side branches were performed in order to recapitulate human DVT (20) (Fig. S1). The control animals only received dissection of IVC and side branches without vein ligation. Anesthesia was induced in an isoflurane chamber (3-4%) and maintained with a face mask using 1-2% isoflurane. The rats were allowed to recover post-surgery and housed under a 12 h light/dark cycle, a temperature of 23±3˚C and a humidity of 55-60%, and had free access to chow and water during recovery. Finally, the rats were sacrificed at h 1, 4, 6 and 12 and day 1, 3, 7, 14 and 21 post operation, and the control animals were sacrificed at a median time point of day 1 post surgery. A total of 2 ml venous blood was collected via the apex cordis into EDTA-coated capillary tubes prior to the rats being sacrificed. All rats were sacrificed by cervical dislocation under deep anesthesia with 2% isoflurane. Post-sacrifice, the thrombosed IVC was carefully dissected on ice, while the weight (G) and length (cm) of thrombi harvested from the IVC were measured with an electronic balance (Shanghai Mettler Toledo Co., Ltd.) and vernier caliper (Deli Co., Ltd.). Thrombi and endothelial tissues were soaked in paraformaldehyde and used for hematoxylin and eosin (H&E) staining and immunofluorescence staining. The remaining tissues were stored at -80˚C and subsequently used for western blot analysis.

Digital subtraction angiography (DSA)

Venography was performed on day 1 after receiving IVC-ligations or sham operations. A fluoroscopy unit (Shimadzu type C-VISION PLUS; Philips Medical Systems, Inc.) was used to estimate the thrombus mass within the IVC after ligation. Inhalant isoflurane induced in an isoflurane chamber (3-4%) and maintained with a face mask using 1-2% isoflurane was used for the induction and maintenance of anesthesia on day 1 post operation. Rats were placed on supine position under the X-ray source, and 2 ml of contrast medium (Iohexol; OMNIPAQUE 350; GE Healthcare) was injected through the tail vein at a rate of 0.3 ml/sec to visualize the adequate filling of the IVC (21). The venographic images were acquired at 6 frames/sec. The length and width of clots were measured using interventional workspot (Allura 3D-RA Release 5; Philips Medical Healthcare, Inc.).

ELISA

Venous blood collected from humans and rats was centrifugated at 1,789 x g at 4˚C for 10 min and the plasma was collected and stored at -80˚C until subsequent use. Plasma levels of TM (Human TM ELISA kit, cat. no. AE90697Hu; Rat TM ELISA kit; cat. no. AE90697Ra) and NF-κB (Rat nuclear factor Kappa B ELISA kit; cat. no. AE91992Ra) was quantified using an ELISA kit (Shanghai United Biotech Co., Ltd.) according to manufacturer's protocol. All samples were repeated in triplicate.

Histopathological analysis

The thrombotic and endothelial tissues of control rats and rats sacrificed at each of the nine time-points were fixed in 4% paraformaldehyde overnight at room temperature and processed as 4-6 µm thick paraffin sections, then stained with H&E (20 min in hematoxylin solution and 60 sec in eosin solution at room temperature) following standard procedures. Light microscopy (magnification, x4) was used to observe typical pathological changes in rat inferior vena cava thrombus at different time points.

Immunofluorescence

The thrombotic and endothelial tissues on day 1 post surgery were fixed in 4% paraformaldehyde overnight at room temperature and sliced as 4-6 µm thick paraffin sections. Immunofluorescence staining was performed on paraffin embedded tissue sections to detect the distribution of TM and NF-κB (p65). The slices were blocked with 5% bovine Serum Albumin (Sigma-Aldrich; Merck KGaA) for 2 h at room temperature and incubated independently with different primary antibodies at 4˚C overnight. Anti-TM antibodies (rabbit polyclonal; 1:600; Mybiosource, Inc; cat. no. MBS9606019) and anti-p65 (rabbit polyclonal; 1:1,000; ProteinTech Group, Inc; cat. no. 10745-1-AP) were used as primary antibodies. CD34 was used as a marker to define the distribution of vascular endothelial cell (CD34 mouse monoclonal; 1:400; NOVUS Biologicals, LLC; cat. no. SA00003-1).

Western blot analysis

Protein was extracted from thrombus and venous endothelium tissues of control rats and DVT rats at nine time-points by dissolving in a lysis buffer using a Tissue or Cell Total Protein Extraction kit (Nanjing KeyGen Biotech Co., Ltd.) following manufacturer's instructions. The concentration of protein was quantified using a Drop One spectrophotometer (Thermo Fisher Scientific, Inc.). 50 µg total protein per gel lane was then electrophoretically separated on 10% polyacrylamide gels and transferred onto nitrocellulose membranes. After blocking with 5% non-fat milk for 1.5 h at room temprature, blots were incubated with anti-TM (1:1,000; rabbit anti-rat TM; Abcam; cat. no. ab187075.), anti-p65 (1:1,000; rabbit anti-rat p65, Cell Signaling Technology, Inc; cat. no. 8242S.) overnight at 4˚C. Membranes were then were rinsed six times with 1x tris buffered saline with 0.1% Tween (TBST), before incubation with a secondary antibody (1:10,000; goat anti-rabbit IgG; Absin Bioscience, Inc; cat. no. abs20040ss.) for 2 h at room temperature. After rinsing six times for 10 min each time, images were acquired using a Tanon 2500 Gel Imaging System (Yph-Bio Co., Ltd.) and processed using ImageJ software (v.1.8.0; National Institutes of Health). β-actin was used as the loading control.

Administration of PDTC

PDTC (Selleck Chemicals) was dissolved in sterilized water and injected at a concentration of 25 mg/ml, similar to a previously reported protocol (17). We defined the four groups as follows: C, DVT model group (0 mg/kg PDTC); LI, DVT rats treated with 50 mg/kg PDTC; MI, DVT rats treated with 100 ml/kg PDTC; HI, DVT rats treated with 150 mg/kg PDTC. A total of 4 different concentrations 100 ml/kg of PDTC were injected into 100 ml/kg the PDTC groups and DVT model group respectively at 6 h, day 1, 2 and 3 post operation via the tail vein at a rate of 0.05-0.1 ml/sec. Blood samples were taken 6 h following each administration via retro-orbital sinus as previously reported to detect the expression of TM and NF-κB in plasma (22,23).

Statistical analysis

Statistical analysis was performed using the statistical software package SPSS (Version 16.0; SPSS, Inc.), and the graphs were generated using GraphPad Prism 6.0 (GraphPad Software, Inc.). One-way ANOVA followed by the Bonferroni post-hoc test was used to compare differences of age and body mass index between the DVT group and the control group. Differences in categorical variables between groups were tested using the χ2 or Fisher’s exact test. One-way ANOVA followed by the Bonferroni post hoc test was also used to compare differences between multiple groups. Two-way ANOVA followed by the Bonferroni post hoc test was only used to compare differences between different time points in the PDTC groups and DVT model group. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used to compare the sensitivity and specificity of the plasma levels of TM for the diagnosis of DVT. All data were expressed as mean ± SEM, and P<0.05 was considered to indicate a statistically significant difference.

Results

The level of TM is upregulated in patients with DVT

The levels of TM in plasma collected from 48 patients with DVT and 23 healthy controls was measured using ELISA. Clinical characteristics of patients in these two groups are summarized in Table I. Compared with the control group (8.43±0.29 µg/l), plasma TM levels were significantly increased in patients with DVT (10.46±0.17 µg/l; P<0.01; Fig. 1A). The results also indicated that the levels of TM in the O group (11.20±0.94 µg/l) were significantly higher compared with the Y (10.36±1.05 µg/l; P<0.05) and M group (10.23±1.27) µg/l; P<0.05; Fig. 1B). ROC curve analysis for TM was performed and the AUC value ranged from 0.795 to 0.953 for TM in identifying patients with DVT from healthy controls (Fig. 1C). The results suggested that TM level could differentiate patients with DVT from non-thrombotic controls with an AUC of 0.874, and the best cut off value for predicting DVT was 10.12 µg/l.

Figure 1 TM is upregulated in patients with DVT. (A) Upregulation of TM in patients with DVT compared with healthy controls. (B) The plasma TM levels of patients with DVT in the 3 age groups. Y group, <64 years; M group, 65-74 years; O group, >75 years. (C) ROC curves showing the area under the ROC curve. Data are presented as means ± SD. *P<0.05, **P<0.01. ROC, Receiver operating characteristic; TM, Thrombomodulin; DVT, deep vein thrombosis.

Visualizing venous thrombosis by DSA

DSA was performed to ensure the successful establishment of thrombosis in the IVC. Anesthetized rats were monitored by continuous camera recording. Fig. 2 presents the images at different time points after the injection of contrast agent. In the control group who did not receive ligation, the IVC was unobstructed and no filling defect and occlusion was observed. In the ligation groups, a partial intraluminal filling defect of the IVC was visualized under the ligation point, with the formation of side branches. The images indicate that only a small amount of contrast agent successfully passed through the occlusion site and reached vessels above the renal vein through side branches. The results demonstrated that the DVT model was successfully established via stenosis of IVC.

Figure 2 Monitoring inferior vena cava thrombosis using digital subtraction angiography. The abscissa represents different time points after the injection of contrast agent. DVT, deep vein thrombosis.

Thrombi size progression over time

Using a vernier caliper and electronic balance, the length and weight of thrombi formed at h 1, 4, 6 and 12 and day 1, 3, 7, 14 and 21 were measured after the model was established. A visible thrombus was observed as early as 1 h after ligation. Thrombus was found only in 4 out of 6 rats at 1 h and 21 days after modeling. Thrombus weight and length were relatively low in the early stages of modeling (1, 4, 6, 12 h) and no significant difference was observed among the four subgroups. The thrombi size was stabilized at a higher level at 24 h, day 3 and 7 after modeling and began to decrease afterwards. However, there was no significant difference between the results of 14 and 21 day (P>0.05). In general, the results suggested that the thrombi size and weight exhibited three distinct periods (1-12, 24 h-day 7 and 14-21), as presented in Fig. 3.

Figure 3 Measurement of thrombus size at different time points. (A) Thrombus length at h 1, 4, 6 and 12 and day 1, 3, 7, 14 and 21 post ligation after modeling. (B) Thrombus weight at h 1, 4, 6 and 12 and day 1, 3, 7, 14 and 21 post ligation. Data are presented as mean ± SEM. n=6, thrombus was found only in 4 out of 6 rats at 1 h and 21 days after modeling. NS, no statistical significance between groups.

Histopathological results

The examination of the H&E-stained thrombi and endothelium sections revealed that no thrombosis and disruption of endothelial cell layer was observed in the control group. Meanwhile, visible thrombus composed of fibrin red blood cells which infiltrated with an abundance of inflammatory cells was identified in the experiment group. The mechanization process (obvious fibrosis hyperplasia was observed around the thrombus) started as early as the first day after modeling, and the completely mechanization was observed at about 2 weeks. Organized thrombus was firmly adhered to the blood vessel walls and massive fissures were presented due to the dried thrombus (recanalization). A period of 21 days after modeling, only a small amount of red blood cells and fibrin remained in the inferior vena cava. The representable pathological changes of the thrombus as well as vein wall at various time points were presented in Fig. S2.

Immunofluorescence results

In order to study the distribution of TM and NF-κB (p65), immunofluorescence examination was performed. It was indicated that TM and NF-κB (p65) co-localized within cells expressing CD34. Additional examination further confirmed the co-localization of TM and NF-κB (p65) in endothelial cells (Fig. 4).

Figure 4 Immunofluorescence staining presented the locations of TM and p65 in endothelial cells of the DVT group on day 1 post operation. Both TM and p65 were co-labeled with the endothelial cell marker CD34. TM, Thrombomodulin; CD, cluster of differentiation.

TM and NF-κB expression over time

In order to elucidate the role and regulatory mechanism of TM during the evolution of DVT, the levels of TM and NF-κB were monitored and compared with the control group in plasma and thrombi and endothelium tissues at the h 1, 4, 6 and 12 and day 1, 3, 7, 14 and 21 post ligation. The results revealed that DVT induced the expression of TM and NF-κB in plasma over time (Fig. 5A and B). The plasma TM levels from 1-12 h post operation (1 h, 18.70±0.08 µg/l; 4 h, 18.94±0.15 µg/l; 6 h, 19.00±0.09 µg/l; 12 h, 19.03±0.13 µg/l, P<0.01) were increased compared with the control group (16.26±0.08 µg/l). The plasma TM levels then plateaued during 1 to 7 days after modeling (24 h, 21.88±0.06 µg/l; day 3, 22.26±0.09 µg/l; day 7, 21.75±0.06 µg/l) with a significant difference compared with the control group (P<0.01). Plasma TM levels then subsequently increased on days 14 to 21 following ligation (day 14, 24.04±0.08 µg/l; day 21, 23.97±0.14 µg/l), which was significant when compared with the control group (P<0.01).

Figure 5 TM and NF-κB expression over time. (A) The concentration of TM in the plasma during the evolution of DVT. DVT group vs. the control group: *P<0.05, **P<0.01, ***P<0.001. (B) The plasma level of NF-κB at different time points after modeling. DVT group vs. the control group. (C) The protein expression changes of TM and (D) NF-κB in endothelium tissues over time. #P<0.05, ##P<0.01 and ###P<0.001 vs. the control group. (E) The concentration of TM and (F) NF-κB in the plasma after the administration of PDTC. C, DVT model group (0 mg/kg PDTC); LI, DVT rats treated with 50 mg/kg PDTC; MI, DVT rats treated with 100 mg/kg PDTC; HI, DVT rats treated with 150 mg/kg PDTC. LI, MI, HI vs. the control group; *P<0.05, **P<0.01 and ***P<0.001 as indicated. TM, Thrombomodulin; DVT, deep vein thrombosis; PDTC, pyrrolidine dithiocarbamate.

Plasma NF-κB levels exhibited similar trend to plasma TM levels (control, 962.96±4.31 ng/l; 1 h, 1075.22±5.23 ng/l; 4 h, 1039.99±10.25 ng/l; 6 h, 1056.73±6.66 ng/l; 12 h, 1058.89±7.64 ng/l; 24 h, 1127.41±7.90 ng/l; 3 day, 1132.12±14.42 ng/l; 7 day, 1144.41±6.73 ng/l; 14 day, 1228.10±6.52 ng/l; 21 day, 1230.68±6.69 ng/l). The results suggested that thrombi size, TM and NF-κB expression exhibited three distinct periods (1-12, 24 h-day 7 and 14-21) of markedly different results between periods. Compared with the control group, TM in the vascular endothelium of the DVT group was upregulated up until day 1 post surgery while NF-κB (p65) was downregulated except for day 7, where no significant difference was demonstrated (Fig. 5C and D). The concentrations of TM and NF-κB in the thrombus were undetectable (data not shown).

Subsequently, PDTC was used as an inhibitor of NF-κB and injected into the DVT model rats via the vein tail. The effect of inhibiting NF-κB activation was confirmed by ELISA and the result revealed that compared with DVT rats that received saline, the plasma levels of TM and NF-κB were downregulated in rats received PDTC treatment in a dose-dependent manner (C vs. LI; C vs. MI; C vs. HI; LI vs. MI; P<0.01; LI vs. HI; MI vs. HI; all, P<0.01), as presented in Fig. 5E and F.

Discussion

In the present study, the level of TM as a marker of vascular endothelial dysfunction during DVT evolution and its possible association with the NF-κB signaling pathway. A DVT animal model was established using the ‘stenosis’ method and the levels of TM at 9 different time points were measured during the evolution of DVT. The data demonstrated that plasma TM levels and thrombus size were increased along with the activation of NF-κB signaling pathway.

DVT formation has been previously thought to be associated with blood stagnancy, hypercoagulability and venous endothelial dysfunction (24). However, there is increasing evidence suggesting that inflammation also serves an important role in the pathogenesis of DVT (15,25,26).

TM is a glycoprotein and serves as a cofactor for thrombin-mediated activation of protein C (PC), which is a major anticoagulant that downregulates thrombin formation and decreases thrombus formation (4,10). In addition to its anticoagulant activity, studies have revealed that TM exhibits potent anti-inflammatory capabilities via a variety of molecular mechanisms (4,10).

TM exists not only as a cellular membrane bound form but also as a soluble form within plasma (5). It has been previously indicated that increased levels of soluble TM are associated with vascular damage, infection and sepsis (5). In the current study, it was revealed that the levels of soluble TM were increased significantly in patients with DVT compared with healthy controls with an AUC of 0.874, providing a promising diagnostic method for DVT, as previously reported (6). Consistent with a previous study, the results of the current study also indicated that circulating TM was associated with age (27). Due to the limited sample size in the current study, further investigations should enroll additional patients to assess the levels of TM among different age groups. A previous report revealed that levels of soluble TM were higher in controls compared with patients with DVT (28); however, another studies results were consistent to the current study in which the VTE group exhibited significantly higher levels of soluble TM, and positively correlated with Caprini risk stratification (6,29). The discrepancy among the studies may be due to the different study population and sample size. The population enrolled in the study by Bombeli et al (28) were Swiss (n=229), whereas patients were Chinese in the current study (n=71). Moreover, there were differences in the inclusion and exclusion criteria. The present study included patients with first-onset acute DVT, while Bombeli et al included patients with a history of one or more venous thromboembolic events. Different populations and sample sizes may have affected the results. It has also been previously suggested that TM exerts anti-inflammatory and anti-fiber deposition effects (4,10). As DVT is an inflammatory disease, the anti-inflammatory effects may also significantly increase by upregulating the expression of TM to exert its anti-inflammatory and anti-fiber deposition effects (15). Based on the effects of TM, the levels of TM may increase in patients with DVT.

Many patients with DVT may be asymptomatic, so their optimal diagnosis period may be missed (30). Despite of its low specificity, the level of plasma TM may be used as a potent dynamic monitoring biomarker, reflecting the evolution of DVT. The current study aimed to investigate the dynamic changes of TM during the evolution of DVT. In further studies, the expression of TM in other inflammatory diseases, such as sepsis, inflammatory bowel disease, ulcerative colitis and pneumonia will be further explored to investigate the specificity of TM. In the current study, plasma levels and endothelial expression of TM at different time points were measured during DVT evolution. At the thrombus formation period (1-12 h after modeling), plasma levels and endothelial expression of TM were increased. It was speculated that the increase of TM level resulted from the initiation of the inflammatory response and endothelial cell damage. Although the expression of TM in the endothelium decreased after 24 h, the expression of TM in the plasma remain increased, indicating that soluble TM in the plasma may be derived from other sources at this period. In line with the results gained in the present study, Sane et al (29) reported that the plasma TM levels of patients with PE were lower in the acute phase compared with the stable phase (seven months later). However, the exact mechanism behind this phenomenon needed to be further evaluated in future studies.

Recombinant human soluble TM (ART-123) has been reported to be a highly effective antithrombotic agent in the prevention of VTE post total hip replacement surgeries (31). Previous studies have reported that increased TM levels indicated worse prognosis of pregnancy-induced hypertension and pre-eclampsia (32). Meanwhile, recombinant-TM improved not only the fetal-placental blood flow but also oxygenation in the placenta and fetal brain, making it a possible candidate treatment strategy for pre-eclampsia complications (4). Therefore, it was speculated that the vascular endothelial cell injury and inflammation promoted prothrombotic changes and induced the observed increase in TM secretion. Therefore, TM may not only be a marker for DVT but also be a potential treatment target.

It has been previously indicated that NF-κB transcription factor p50 is essential for the pathogenesis of DVT, and suggested that specific inhibitors of p50, such as Andro, may be therapeutically valuable for preventing and treating venous thrombosis (33). In order to identify the mechanism of how TM contributes to the pathogenesis of DVT, NF-κB in plasma and endothelium was investigated In the current study, although the expression of NF-κB in the endothelium was decreased in the DVT groups, plasma NF-κB levels were increased. The increase of NF-κB levels in plasma was consistent with the results of a previous study (34). Further studies are required to evaluate the mechanism behind the downregulation of NF-κB in the endothelium. The current results revealed that the increased secretion of TM during the evolution of DVT was associated with the NF-κB pathway, confirming its significant role in DVT.

Furthermore, the current study attempted to verify the regulatory effect of NF-κB on TM via the induction of PDTC, which is a specific NF-κB inhibitor that inhibits the activation and nuclear translocation of NF-κB through inhibiting the phosphorylation of I κB (17,18). The results of present study revealed that inhibition of NF-κB expression by PDTC reduced plasma TM concentration in a dose-dependent manner. Similarly, Deng et al (35) demonstrated in a lipopolysaccharide (LPS)-induced vascular endothelial injury model in human umbilical vein endothelial cells that Puerarin could prevent vascular endothelial injury by suppressing the activation of NF-κB, and identified that this mechanism was associated with the downregulation of inflammatory factors and coagulation-related factors including TM.

There were some limitations of the current study. Firstly, it should be noted that rat models were used and these may not perfectly recapitulate all human features of DVT. Especially when considering the fact that the animal model was built on healthy animals with no underlying inflammatory or pro-coagulant conditions. Secondly, the changes of TM and NF-κB were not measured in the in endothelium following the administration of PDTC. Thirdly, this was a single-center study with a cohort of a limited number of patients that may not be necessarily be representable to the general population.

In conclusion, the results of the current study suggested that plasma TM levels were increased significantly in patients with DVT. Furthermore, the results of the animal experiment revealed that the increased secretion of TM during the evolution of DVT was associated with the NF-κB pathway and changed along with thrombus size, indicating that the level of plasma TM may be a potent biomarker for the evolution of DVT.

Supplementary Material

Rat DVT model modeling process diagram (stenosis). Skin preparation and disinfection of the abdominal surgery area. (B) Making a 2 cm incision in the middle of the abdomen. (C) Full exposure and separating the inferior vena cava branches below the left renal vein to the level of the iliac vein. (D) Ligation of the visible branches one by one using a 5.0 silk suture. (E) Placing a 5.0 silk suture tightly around the IVC together with a 4.0 silk suture. (F) Ligation of the IVC. (G) Removing the 4.0 silk suture. (H) Suturing the abdominal muscle, skin and skin disinfection. DVT, deep vein thrombosis; IVC, Inferior vena cava.

Typical pathological changes in rat inferior vena cava thrombus at different time points. Magnification, x100.

Acknowledgements

Not applicable.

Funding

The current study was supported by the Medical Innovation Team of Jiangsu Province (grant no. Suweikejiao 2017).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

XC, BS and XY, YZ contributed to the conception and design of the project. SL and DL collected the clinical samples. XC and BS performed all the experiments. XC drafted the manuscript with critical review by BS, XY and YZ. YZ supervised the findings of this work. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The protocol of the present study was approved by the Ethics Committee of Affiliated Hospital of Nantong University and informed consent was obtained from all participants.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References