Plasminogen Activator Inhibitor-1 Complex Research Articles

Diagnostic value of tissue plasminogen activator-inhibitor complex in sepsis-induced liver injury: A single-center retrospective case-control study

BACKGROUND Sepsis often causes severe liver injury and leads to poor patient outcomes. Early detection of sepsis-induced liver injury (SILI) and early treatment are key to improving outcomes. AIM To investigate the clinical characteristics of SILI patients and analyze the associated risk factors, to identify potential sensitive biomarkers. METHODS Retrospective analysis of clinical data from 546 patients with sepsis treated in the intensive care unit of the 908th Hospital of Chinese People’s Liberation Army Joint Logistic Support Force between May 2018 and December 2022. The patients were divided into the sepsis group (n = 373) and SILI group (n = 173) based on the presence of acute liver injury within 2 hours of admission. We used the random forest algorithm to analyze risk factors and assessed potential diagnostic markers of SILI using the area under the receiver operating characteristic curve, Kaplan-Meier survival curves, subgroup analysis and correlation analysis. RESULTS Compared with the sepsis group, tissue plasminogen activator-inhibitor complex (t-PAIC) levels in serum were significantly higher in the SILI group (P < 0.05). Random forest results showed that t-PAIC was an independent risk factor for SILI, with an area under the receiver operating characteristic curve of 0.862 (95% confidence interval: 0.832-0.892). Based on the optimal cut-off value of 11.9 ng/mL, patients at or above this threshold had significantly higher levels of lactate and Acute Physiology and Chronic Health Evaluation II score. The survival rate of these patients was also significantly worse (hazard ratio = 2.2, 95% confidence interval: 1.584-3.119, P < 0.001). Spearman’s correlation coefficients were 0.42 between t-PAIC and lactate, and 0.41 between t-PAIC and aspartate transaminase. Subgroup analysis showed significant differences in t-PAIC levels between patients with different severity of liver dysfunction. CONCLUSION T-PAIC can serve as a diagnostic indicator for SILI, with its elevation correlated with the severity of SILI.

A single-center study of reference intervals for TAT, PIC, TM and t-PAIC in healthy older Chinese adults

ObjectiveTo explore the distribution of thrombin–antithrombin complex (TAT), plasmin-α2-antiplasmin inhibitor complex (PIC), thrombomodulin (TM), and tissue plasminogen activator-inhibitor complex (t-PAIC) in healthy older Chinese adults, and establish the reference intervals (RIs).MethodsThe Biotech Shine i2900 chemiluminescence immune assay was used to measure the plasma concentrations of TAT, PIC, TM, and t-PAIC in 1628 adults ≥ 60 years. The RIs were established using the 2.5th and 97.5th percentiles of the distribution.ResultsTAT levels were lower in males than females across all ages. Differences between the ages of 60–79 and ≥ 80 in both sex groups were statistically significant, with an upward trend with age. PIC levels showed no difference between the sexes but increased with age in both groups. TM levels did not differ between the sex groups, with slight fluctuation with age. The level in females aged 60–69 was slightly higher than that in the other groups; the difference was statistically significant. T-PAIC levels were not significantly different between the sex groups, with less fluctuation with sex and age. The level in males ≥ 80 years old was slightly lower than that in the other groups; the difference was statistically significant. The RIs for all markers in healthy older Chinese adults were determined and statistically reported by age and sex. For TAT, the RIs for males aged 60–79 and ≥ 80 are 0.51–2.30 ng/mL and 0.88–3.72 ng/mL, respectively, whereas for females aged 60–79 and ≥ 80, the RIs are 0.68–2.82 ng/mL and 1.02–3.67 ng/mL, respectively. For PIC, the RIs for the age groups 60–69, 70–79, and ≥ 80 are 0.10–0.89 µg/mL, 0.12–1.00 µg/mL, and 0.21–1.04 µg/mL, respectively. The RI of TM for females aged 60–69 is 3.32–13.22 TU/mL, whereas it is 2.96–13.26 TU/mL for the other groups. The RI of t-PAIC for males aged ≥ 80 is 1.63–10.68 ng/mL, whereas it is 2.33–11.34 ng/mL for the other groups.ConclusionsDiscrepancies exist in thrombus markers among different sex and age groups. The RIs of TAT, PIC, TM and t-PAIC for healthy older Chinese adults were successfully established.

Risk Factors for Mortality in Critically Ill Patients with Coagulation Abnormalities: A Retrospective Cohort Study.

Coagulation abnormalities are common and prognostically significant in intensive care units (ICUs) and are associated with increased mortality. This study aimed to explore the association between the levels of coagulation markers and the risk of mortality among ICU patients with coagulation abnormalities. This retrospective study investigated patients with coagulation abnormalities in the ICU between January 2021 and December 2022. The initial point for detecting hemostatic biomarkers due to clinical assessment of coagulation abnormalities was designated day 0. Patients were followed up for 28 days, and multivariate logistic regression analysis was utilized to identify risk factors for mortality. Of the 451 patients analyzed, 115 died, and 336 were alive at the end of the 28-day period. Multivariate analysis revealed that elevated thrombin-antithrombin complex (TAT), tissue plasminogen activator inhibitor complex (tPAIC), prolonged prothrombin time, and thrombocytopenia were independent risk factors for mortality. For nonovert disseminated intravascular coagulation (DIC) patients, older age and thrombocytopenia were associated with increased risks of mortality, whereas elevated levels of plasmin α2-plasmin inhibitor complex (PIC) were found to be independent predictors of survival. In patients with overt DIC, elevated levels of tPAIC were independently associated with increased risks of mortality. Nevertheless, thrombocytopenia was independently associated with increased risks of mortality in patients with pre-DIC. Coagulation markers such as the TAT, tPAIC, PIC, and platelet count were significantly associated with mortality, underscoring the importance of maintaining a balance between coagulation and fibrinolysis. These findings highlight the potential for targeted therapeutic interventions based on specific coagulation markers to improve patient outcomes.

Predictive value of thrombin-antithrombin III complex and tissue plasminogen activator-inhibitor complex biomarkers in assessing the severity of early-stage acute pancreatitis.

The development of acute pancreatitis (AP) is strongly linked to blood clotting and fibrinolysis issues. Modern clinical practices now utilize advanced blood markers like thrombin-antithrombin III complex (TAT), plasmin-α2-plasmin inhibitor complex, thrombomodulin (TM), and tissue plasminogen activator-inhibitor complex (t-PAIC) to assess thrombosis risk. Our study used a highly sensitive chemiluminescence technique to measure these markers in AP patients, aiming to determine their early predictive value for AP severity. There were 173 patients with AP, all of whom developed symptoms within 72h; 102 individuals had onset symptoms within 48h. The biomarkers were measured upon admission before determining the severity of AP. The levels of TAT, plasmin-α2-plasmin inhibitor complex, TM, and t-PAIC were significantly higher in the severe acute pancreatitis (SAP) group compared with the mild acute pancreatitis and moderate severe acute pancreatitis groups. For the patients within 72h of onset, TAT, TM, and t-PAIC predicted the occurrence of SAP. For the patients within 48h of onset, TAT and t-PAIC predicted the occurrence of SAP. The area under the curve (AUC) of prediction models is similar to Bedside Index for Severity in Acute Pancreatitis (BISAP) but significantly higher than C-reactive protein (P<0.05). Notably, t-PAIC had a larger AUC than TAT, BISAP, and C-reactive protein. In the initial 48h, plasma TAT and t-PAIC levels may predict the development of SAP. Within 72h, plasma levels of TAT, TM, and t-PAIC may predict the development of SAP, and the TAT+TM+t-PAIC prediction model achieved a maximum AUC of 0.915, comparable to BISAP.

The clinical significance of TAT, PIC, TM, and t-PAIC in vascular events of BCR/ABL-negative myeloproliferative neoplasms

Predicting the likelihood vascular events in patients with BCR/ABL1-negative myeloproliferative neoplasms (MPN) is essential for the treatment of the disease. However, effective assessment methods are lacking. Thrombin-antithrombin complex (TAT), plasmin-α2- plasmininhibitor complex (PIC), thrombomodulin (TM), and tissue plasminogen activator-inhibitor complex (t-PAIC) are the new direct indicators for coagulation and fibrinolysis. The aim of this study was to investigate the changes of these four new indicators in thrombotic and hemorrhagic events in BCR/ABL1-negative MPN. The study cohort of 74 patients with BCR/ABL negative myeloproliferative disorders included essential thrombocythemia, polycythemia vera, and primary myelofibrosis (PMF). A panel of 4 biomarkers, including TAT, PIC, TM, and t-PAIC were determined using Sysmex HISCL5000 automated analyzers, whereas fibrin/fibrinogen degradation products (FDP), D-dimer and Antithrombin III (ATIII) were analyzed using Sysmex CS5100 coagulation analyzer. A total of 24 (32.4%) patients experienced thrombotic events and hemorrhagic events occurred in 8 patients (10.8%). Compared to patients without hemorrhagic-thrombotic events, patients with thrombotic events had higher fibrinogen (FIB) level, FDP level and lower ATIII activity, while patients with hemorrhagic events had lower white blood cell count and hemoglobin level, higher FDP level (P < 0.05). Patients with a JAK2V617F mutation were more likely to experience thrombotic events (P < 0.05). In addtion, patients with thrombotic events had higher TAT, PIC, TM, and t-PAIC levels than patients without hemorrhagic-thrombotic events (P < 0.05), whereas patients with hemorrhagic events had a lower median value in TAT and TM (no statistical difference, P > 0.05). Patients with higher TAT, TM and t-PAIC were more likely to experience thrombotic events (P < 0.05), and only TAT was positively correlated with thrombotic events (Spearman r =0.287, P = 0.019). TAT, PIC, TM, and t-PAIC combined with ATIII and FDP have a certain value for predicting thrombosis in patients with BCR/ABL1-negative MPN. These 6 parameters are worth further exploration as predictive factors and prognostic markers for early thrombotic events.

Development of a chemiluminescence assay for tissue plasminogen activator inhibitor complex and its applicability to gastric cancer

BackgroundVenous thromboembolism (VTE), is a noteworthy complication in individuals with gastric cancer, but the current diagnosis and treatment methods lack accuracy. In this study, we developed a t-PAIC chemiluminescence kit and employed chemiluminescence to detect the tissue plasminogen activator inhibitor complex (t-PAIC), thrombin-antithrombin III complex (TAT), plasmin-α2-plasmin inhibitor complex (PIC) and thrombomodulin (TM), combined with D-dimer and fibrin degradation products (FDP), to investigate their diagnostic potential for venous thrombosis in gastric cancer patients. The study assessed variations in six indicators among gastric cancer patients at different stages.ResultsThe t-PAIC reagent showed LOD is 1.2 ng/mL and a linear factor R greater than 0.99. The reagents demonstrated accurate results, with all accuracy deviations being within 5%. The intra-batch and inter-batch CVs for the t-PAIC reagent were both within 8%. The correlation coefficient R between this method and Sysmex was 0.979. Gastric cancer patients exhibited elevated levels of TAT, PIC, TM, D-D, FDP compared to the healthy population, while no significant difference was observed in t-PAIC. In the staging of gastric cancer, patients in III-IV stages exhibit higher levels of the six markers compared to those in I-II stages. The ROC curve indicates an enhancement in sensitivity and specificity of the combined diagnosis of four or six indicators.ConclusionOur chemiluminescence assay performs comparably to Sysmex’s method and at a reduced cost. The use of multiple markers, including t-PAIC, TM, TAT, PIC, D-D, and FDP, is superior to the use of single markers for diagnosing VTE in patients with malignant tumors. Gastric cancer patients should be screened for the six markers to facilitate proactive prophylaxis, determine the most appropriate treatment timing, ameliorate their prognosis, decrease the occurrence of venous thrombosis and mortality, and extend their survival.

Clinical value of TAT, PIC and t-PAIC as predictive markers for severe sepsis in pediatric patients.

Sepsis in pediatric patients can progress to severe sepsis, and identifying biomarkers of this progression may permit timely intervention to prevent it. This study aimed to investigate the ability of thrombin-antithrombin complex (TAT), α2-plasmininhibitor-plasmin complex (PIC) and tissue-type plasminogen activator-inhibitor complex (t-PAIC) to predict severe sepsis in pediatrics early. 148 eligible pediatric sepsis patients were enrolled in this study, and were then divided into those who progressed to severe sepsis (n = 50) or not (n = 98). Serum levels of TAT, PIC, and t-PAIC were analysed, and simplified pediatric critical illness score (PCIS) and DIC score were calculated on the day of pediatric sepsis diagnosis. Compared with sepsis patients, severe sepsis patients had higher levels of TAT, PIC and t-PAIC. Correlation analysis revealed that TAT, PIC and t-PAIC were significantly correlated with simplified PCIS and DIC score. ROC curve analysis suggested that TAT, PIC and t-PAIC could serve as biomarkers for predicting severe sepsis with the AUC up to 0.862, 0.759 and 0.851, respectively. Stratified analysis demonstrated that the patients with increased levels of TAT, PIC and t-PAIC had worse illness severity and clinical outcome. Univariate logistic regression analysis revealed that TAT, PIC and t-PAIC were all risk factors for severe sepsis, yet only TAT and t-PAIC were independent risk factors in multivariate model. TAT, PIC and t-PAIC could serve as biomarkers for predicting severe sepsis, and correlated with illness severity in pediatrics, what's more, serum levels of TAT and t-PAIC may be independent risk factors for pediatric severe sepsis.

Prognostic value of coagulation markers in patients with colorectal caner: A prospective study.

The occurrence, growth, and metastasis of colorectal cancer (CRC) are connected to the hypercoagulable state of blood (CRC). This study aimed to identify significant coagulation factors to predict metastasis and prognosis of CRC. Thrombomodulin (TM), thrombin-antithrombin complex (TAT), α2-plasmininhibitor-plasmin complex (PIC), and tissue plasminogen activator-inhibitor complex (t-PAIC) were detected by chemiluminescence immunoassay using Sysmex HISCL5000 automated analyzers. The Sysmex CS 5100 automatic blood coagulation analyzer was used to detect d-dimer (DD), fibrin degradation product (FDP), prothrombin time (PT), thrombin time (TT), international normalized ratio (INR), fibrinogen (Fbg), and activated partial thromboplastin time (APTT). Area under the curve (AUC) and the receiver operating characteristic curve (ROC) were used to assess the diagnostic efficacy of markers. Kaplan-Meier analysis was used to calculate survival probabilities. Independent prognostic factors and the nomogram were developed using single-factor and multifactor cox regression analysis model. The following indicators (TM, TAT, PIC, t-PAIC, DD, FDP, PT, INR, APTT, and Fbg) were markedly higher in CRC patients than in healthy controls, and they were higher in the metastasis (M) group than in the nonmetastasis (NM) group. The combination "TAT + PIC + DD + FDP + Fbg" can distinguish M from NM with exceptional sensitivity and specificity. Patients with CRC who had high levels of TAT, PIC, DD, FDP, Fbg, TM, tPAIC, PT, and INR had significantly shorter survival. The prognosis of CRC patients can be predicted by coagulation indicators. The independent predictive variables for overall survival were found to be TM and DD. To forecast CRC patient survival, a nomogram was created.

Urokinase-type plasminogen activator and plasminogen activator inhibitor-1 complex as a serum biomarker for COVID-19.

Patients with coronavirus disease-2019 (COVID-19) have an increased risk of thrombosis and acute respiratory distress syndrome (ARDS). Thrombosis is often attributed to increases in plasminogen activator inhibitor-1 (PAI-1) and a shut-down of fibrinolysis (blood clot dissolution). Decreased urokinase-type plasminogen activator (uPA), a protease necessary for cell-associated plasmin generation, and increased tissue-type plasminogen activator (tPA) and PAI-1 levels have been reported in COVID-19 patients. Because these factors can occur in free and complexed forms with differences in their biological functions, we examined the predictive impact of uPA, tPA, and PAI-1 in their free forms and complexes as a biomarker for COVID-19 severity and the development of ARDS. In this retrospective study of 69 Japanese adults hospitalized with COVID-19 and 20 healthy donors, we found elevated free, non-complexed PAI-1 antigen, low circulating uPA, and uPA/PAI-1 but not tPA/PAI-1 complex levels to be associated with COVID-19 severity and ARDS development. This biomarker profile was typical for patients in the complicated phase. Lack of PAI-1 activity in circulation despite free, non-complexed PAI-1 protein and plasmin/α2anti-plasmin complex correlated with suPAR and sVCAM levels, markers indicating endothelial dysfunction. Furthermore, uPA/PAI-1 complex levels positively correlated with TNFα, a cytokine reported to trigger inflammatory cell death and tissue damage. Those levels also positively correlated with lymphopenia and the pro-inflammatory factors interleukin1β (IL1β), IL6, and C-reactive protein, markers associated with the anti-viral inflammatory response. These findings argue for using uPA and uPA/PAI-1 as novel biomarkers to detect patients at risk of developing severe COVID-19, including ARDS.

Value of novel thrombotic markers for predicting occurrence of the malignant cerebral artery infarction: a prospective clinical study

ObjectiveThis study investigated the diagnostic performance of thrombin–antithrombin complex (TAT), plasmin–α2 plasmin inhibitor complex (PIC), tissue plasminogen activator–plasminogen activator inhibitor complex (t-PAIC), and thrombomodulin (TM) in predicting the progression of massive cerebral infarction to the malignant cerebral artery infarction.MethodA total of 71 patients with massive cerebral infarction confirmed by imaging examination were divided into malignant cerebral artery infarction group (MCAI) and non-malignant cerebral artery infarction group (NMCAI) based on whether they progressed to MCAI after admission. TAT, PIC, t-PAIC, and TM were measured immediately after admission. The predictive performance was analyzed by the receiver characteristic operating curve (ROC).ResultThe median plasma concentrations of TM, PIC, TAT, and t-PAIC in the MCAI patients at admission were 10.65 IU/mL, 1.17 μg/mL, 12.25 ng/mL, and 13.85 ng/mL, respectively, which were higher than those in the NMCAI patients (9.00 IU/mL, 1.07 μg/mL, 4.60 ng/mL, and 8.70 ng/mL), and the difference was statistically significant (p = 0.045, p = 0.035, p = 0.004, and p = 0.003). Elevated plasma t-PAIC concentration was shown to be an independent risk factor for progression of massive cerebral infarction to MCAI (OR = 1.131) by multivariate logistic regression analysis. ROC curve analysis showed that t-PAIC was the best predictor of MCAI (AUC = 74.7%), with a sensitivity of 75.0% and specificity of 75.9% when t-PAIC concentration was ≥12.4 ng/mL; TAT had the highest specificity in predicting MCAI, with a specificity of 90.7% when the TAT concentration was ≥13.5 ng/mL.ConclusionThe detection of PIC, TAT, t-PAIC, and TM is a comprehensive assessment of vascular endothelial damage and activation of the coagulation and fibrinolytic systems and has predictive value for poor prognosis in patients with MCAI. The widespread use of these tests will likely greatly improve the early diagnosis rate of MCAI.

The Proactive Diagnostic Value of Thrombin-Antithrombin Complex and Antithrombin III in Disseminated Intravascular Coagulation

Introduction Disseminated intravascular coagulation (DIC) is a life-threatening condition with high mortality, necessitating timely and accurate diagnosis for effective management. However, current diagnostic systems can not recognize DIC at its reversible phase, causing suboptimal treatment outcomes. One reason is that most venous thrombosis cases are asymptomatic. Moreover, the focus on abnormalities in coagulation consumption often fails to identify DIC until in a later and irreversible phase. Consequently, the current diagnostic criteria for DIC lacks earlier laboratory indicators. Therefore, our objective was to evaluate the diagnostic potential of selected hemostatic biomarkers (thrombin-antithrombin complex (TAT), soluble thrombomodulin (sTM), tissue plasminogen activator inhibitor complex (tPAI-C), α 2-plasmin inhibitor plasmin complex (PIC) and anti-thrombin III (ATIII)) in assessing DIC before reaching its irreversible phase. Methods We included 451 patients from intensive care unit who met the following criteria:≥18 years old, non-perinatal period, and a hospitalization length of≥3 days, excluding those with primary hematologic diseases, decompensated liver cirrhosis or chemotherapy history. In total, 101, 57, and 293 patients were diagnosed with overt-DIC (decompensated DIC), pre-DIC (compensated DIC), and non-DIC, respectively. The DIC scores were calculated in accordance with the diagnostic criteria outlined by the International Society on Thrombosis and Haemostasis (ISTH). Day 0 was defined as the day on which hemostatic biomarkers were detected. Global parameters including prothrombin time (PT), fibrinogen (FIB), fibrinogen degradation product (FDP), d-dimer, and platelet count were collected on day 0, 1, 3, 5, and 7. The spearman correlation analysis was used to analyze the linear relation. Binary logistic regression analysis and receiver operating characteristic curves were used to calculate the area under the receiver operating characteristic curve (AUC). The cutoff value maximizes the sum of the sensitivity and specificity. P&amp;lt;0.05 was considered statistically significant. Results Correlation analysis revealed significant linear correlations between TAT, ATIII, and the global parameters relevant to DIC (pre-DIC and overt-DIC). Specifically, TAT exhibited positive correlation with d-dimer and FDP, while ATIII was correlated with PT, FIB, and platelet count. Of note, TAT/ATIII ratio on day 0 exhibited strong associations not only with fibrinolytic markers but also with coagulation parameters within a week, indicating its potential to be a valuable diagnostic and predictive tool for DIC assessment. Comparative analysis demonstrated elevated TAT and decreased ATIII levels in DIC group. Remarkably, the TAT/ATIII ratio demonstrated superior diagnostic performance compared to individual biomarkers. Among individual biomarkers, TAT/ATIII ratio had the highest AUC of 0.818 with a cutoff value of 22.1, followed by ATIII (AUC=0.752) and TAT (AUC=0.749). Moreover, when a combination of TAT and ATIII was applied, the AUC increased to 0.847 higher than TAT/ATIII ratio's, improving the diagnostic accuracy for DIC. TAT and ATIII in pre-DIC group were consistent with those observed in DIC group above: elevated TAT levels, decreased ATIII activity, TAT/ATIII ratio with superior diagnostic performance. Among individual biomarkers, TAT/ATIII ratio had the highest AUC 0.771 with a cutoff value of 22.1 that maximized the sum of sensitivity (55%) and specificity (89%), followed by TAT (AUC=0.73) and ATIII (AUC=0.707). The AUC of TAT combination with ATIII was 0.796, higher than AUC 0.771 of TAT/ATIII ratio, suggesting that TAT and ATIII may also identify the pre-DIC status and predict overt-DIC. Conclusion This study underscores the remarkable potential of TAT, ATIII, and the TAT/ATIII ratio in predicting DIC with accuracies of 73%, 71%, and 77%, respectively. Moreover, for patients with an ISTH-DIC score of &amp;lt; 5, the presence of following conditions-TAT level ≥10.8 ng/mL, ATIII activity ≤0.58, or TAT/ATIII ratio ≥22.1-indicates a likelihood of developing into irreversible DIC within 7 days. Integrating TAT, ATIII, and the TAT/ATIII ratio into the diagnostic process holds the potential to expedite clinical interventions during the pre-DIC state and enhance outcomes for DIC patients, further covering the shortage of current ISTH criteria.

Recent advances in the application of TAT, TM, t-PAIC and PIC in thromboembolism

Thromboembolism is a crucial part of the global disease burden. It has high incidence, high mortality and disability rates, and the mechanism of occurrence and development is extremely complex. It is difficult to detect the disease in the early stage so that we have trouble with clinical prevention and treatment in general. At present, four items of blood coagulation and D-dimer have been widely used in the evaluation and auxiliary diagnosis of thromboembolism, the monitoring of effect for antithrombotic drugs and other fields. The thrombus biomarkers including thrombin-antithrombin complex (TAT), thrombomodulin (TM), tissue plasminogen activator-inhibitor complex (t-PAIC) and α2-plasmin inhibitor-plasmin complex (PIC) fill the gap of laboratory diagnosis before clinical symptoms appear in some degree. This article aims to explain the current application status of TAT, TM, t-PAIC and PIC in thromboembolism and explore their potential application value, so as to provide a reference for selecting appropriate early monitoring indicators for high-risk population of thromboembolism.

Plasma microRNAs as potential biomarkers in diagnosis of acute venous thromboembolism.

To assess the potential use of plasma microRNAs (miRNAs) in diagnosis of acute venous thromboembolism (VTE). Using BGISEQ-500 sequencing technology, we analyzed the miRNA profile of paired plasma samples from the acute and chronic phases of four patients with unprovoked VTE. Using real-time quantitative polymerase chain reaction (RT-qPCR), we verified nine upregulated named miRNAs in the acute phase in the plasma samples of 54 patients with acute VTE and 39 controls. We then compared the relative expression of the 9 candidate miRNAs between the acute VTE and control group, and plotted the receiver operating characteristic (ROC) curves of the differentially expressed miRNAs. We chose the miRNA with the greatest area under curve (AUC) to evaluate the effect of miRNA on coagulation and platelet function in the plasma samples of 5 healthy volunteers. The plasma levels of miR-374b-3p, miR-660-5p, miR-378a-3p, miR-425-5p, miR-3613-5p, miR-130b-3p, miR-183-5p, and miR-103b were higher in patients with acute VTE than in the controls, with AUCs of 0.6776, 0.6614, 0.6648, 0.6885, 0.8048, 0.6871, 0.7298, and 0.7498, respectively, and P values of 0.0036, 0.0081, 0.0069, 0.0020,<0.0001, 0.0022, 0.0002, and < 0.0001, respectively. There were no significant differences in miR-193b-5p level between the acute VTE group and the control group. Fibrinogen (Fib), thrombin- antithrombin complex (TAT), tissue plasminogen activator-inhibitor complex (t-PAIC), and TAT/plasmin-α2-plasmin inhibitor complex (PIC) were decreased in the miR-3613-5p group when compared with the control group (P < 0.05). miRNAs can be potential biomarkers for diagnosing acute VTE, and miR-3613-5p may be involved in the formation, coagulation, and platelet functions in acute VTE.

Application Value of Novel Coagulation Markers in Predicting Postoperarative Complications in the Early Stage After Liver Transplantation

To investigate the relationship between thrombin-antithrombin complex (TAT), plasmin-α 2-plasmininhibitor complex (PIC), soluble thrombomodulin (sTM), and tissue plasminogen activator-inhibitor complex (tPAIC) and postoperative complications in the early stage after liver transplantation (LT). We analyzed the perioperative clinical data, including plasma TAT, PIC, sTM, and tPAIC, of 130 post-LT patients admitted to the intensive care unit (ICU), West China Hospital, Sichuan University between December 2021 and November 2022. Patients were divided into two groups, a complication group and a non-complication group, according to whether they experienced complications of Clavien-Dindo (CD) grade Ⅲb and above within 30 days after the surgery. Univariate analysis and binary multivariate logistic regression models were used to determine the risk factors for complications within 30 days post-LT. The incidence of complications of CD grade Ⅲb and above within 30 days post-LT was 33.1% (43/130). Patients in the complication group had significantly higher scores for the Model for End-Stage Liver Disease (MELD), operative time, intraoperative red blood cell transfusion volume, intraoperative plasma transfusion volume, and plasma TAT, PIC, sTM and tPAIC measured at the time of admission to ICU after the operation than those in the non-complication group did (all P<0.05). Logistic regression showed that for every single U of red blood cells transfused during the transplant surgery, the probabilities of complications within 30 days post-LT increased by 15.1% (95% confidence interval [ C I]: 1.070-1.239, P<0.001) and for the increase of every single TU/mL of plasma sTM measured upon post-LT admission to ICU, the probabilities of complications increased by 13.7% (95% CI: 1.060-1.220, P<0.001). Plasma sTM measured upon admission to ICU after LT is an independent risk factor for complications within 30 days post-LT, and additional assessment of sTM may help predict complications in the early stage post-LT.

Trimester-specific reference intervals of hemostasis biomarkers for healthy pregnancy

Physiological changes in hemostasis during pregnancy have been reported by several authors. This study aimed at establishing reference intervals for the hemostasis biomarkers thrombin-antithrombin complex (TAT), α2-plasmininhibitor-plasmin complex (PIC), thrombomodulin (TM) and tissue plasminogen activator-inhibitor complex (tPAI-C), in healthy pregnancies. After excluding outliers, a total of 496 healthy pregnant women (128 first-trimester, 142 second-trimester, 107 third-trimester and 119 pre-labor) and 103 healthy nonpregnant women were enrolled from Shenzhen Bao’an Women’s and Children’s Hospital. Hemostasis biomarkers, TAT, PIC, TM and tPAI-C, were measured by using a quantitative chemiluminescence enzyme immunoassay performed on HISCL automated analysers. The median and reference intervals (the 2.5th and 97.5th percentiles) were calculated to establish trimester-specific reference intervals for healthy pregnant women. The reference intervals for TAT, PIC, TM and tPAI-C in the first trimester were 0.7–7.6 1 µg/L, 0.2–0.9 mg/L, 2.8–11.0 TU/ml, and 1.2–6.5 1 µg/L, respectively. The reference intervals in the second trimester were 1.7–12.0 1 µg/L, 0.2–1.0 mg/L, 3.7–11.6 TU/ml, and 2.8–8.8 1 µg/L, respectively. The reference intervals in the third trimester were 2.7–16.1 1 µg/L, 0.1–1.4 mg/L, 2.9–12.9 TU/ml, and 1.9–8.0 1 µg/L, respectively. At pre–labor, the reference intervals were 4.8–32.9 1 µg/L, 0.2–1.9 mg/L, 4.2–12.6 TU/ml, and 2.8–15.4 1 µg/L, respectively. Gestational reference intervals for TAT, PIC, TM and tPAI-C in healthy pregnancies are provided, but only for TAT with increasing concentrations throughout pregnancy, the reference intervals for non-pregnant were not applicable.

Plasma levels of fibrinolytic and coagulation biomarkers in HIV-infected individuals on highly active antiretroviral therapy: A case-control study in a Northern Ghanaian population.

Impaired coagulation and fibrinolysis have been implicated in thromboembolism in human immunodeficiency virus (HIV)-infected individuals. This study evaluated the plasma levels of plasminogen activator inhibitor-1 (PAI-1) and coagulation biomarkers in HIV-infected individuals on highly active antiretroviral therapy (HAART). This matched case-control study from March to December, 2020 comprised 76 participants: 38 HIV-positive individuals on HAART and 38 apparently healthy HIV-negative individuals as controls. Blood samples were collected for prothrombin time (PT), activated partial thromboplastin time (aPTT), D-dimers, PAI-1, and soluble fibrin monomer complex (SFMC) estimations. The data were analysed using SPSS version 22.0 and statistical significance was set at p < 0.05. Activated partial thromboplastin time was significantly lower in HIV seropositive individuals on HAART compared with HIV seronegative controls (25.90 s vs. 29.0 s, p = 0.030); however, PT, SFMC, D-dimers, and PAI-1 were significantly higher among the HIV-seropositive individuals compared with the controls: PT: (16.29 s ± 2.16 vs. 15.15 s ± 2.60, p = 0.010), SFMC: [8.53 ng/mL (8.03-9.12) vs. 7.84 ng/mL (7.32-8.58), p = 0.005]), D-Dimer: [463.37 ng/mL (402.70-526.33) vs. 421.11 ng/mL (341.11-462.52), p = 0.015], and PAI-1: [12.77 ng/mL (10.63-14.65) vs. 11.27 ng/mL (10.08-12.95), p = 0.039]. PAI-1 showed a moderate positive correlation with D-Dimer (r = 0.659, p < 0.001) and SFMC (r = 0.463, p = 0.003) among HIV-positive individuals on HAART. There was a strong positive correlation between the plasma PAI-1 concentration and the HIV viral load (r = 0.955, p < 0.001). HIV-seropositive individuals on HAART have deranged coagulation and fibrinolytic markers. Higher HIV viral load correlates strongly with elevated plasma levels of PAI-1 antigens. Periodic assessment of markers of coagulation and fibrinolysis be included in the management of HIV/AIDS in Ghana.

Spontaneous intramuscular hemorrhage in cancer-associated dermatomyositis: a case and literature review

BackgroundSpontaneous intramuscular hemorrhage (SIH) is a rare but life-threatening complication of dermatomyositis (DM). The pathogenetic mechanism and management of intramuscular hematoma in these patients remains unclear. Here we discuss a case of recurrent hemorrhage in a patient with cancer-associated DM, and review the relevant literature for timely diagnosis and treatment.Case presentationA 53-year-old male patient presented with rashes, muscle weakness, and dysphagia and was diagnosed with DM. During treatment, he developed SIH of the arm and right psoas major muscle successively. MRI showed extensive edema of the right shoulder girdle muscle and muscle groups of the upper arm. During the second SIH, a CT scan showed new-onset hematoma formation in the right psoas major muscle. The detection of D-dimer, thrombin-antithrombin III complex (TAT), plasmin-α2-plasmininhibitor complex (PIC) and tissue plasminogen activator-inhibitor complex (t-PAIC) indicated predominant hyperfibrinolysis over thrombosis. Blood transfusion and supportive treatment were immediately performed, and the hematoma did not expand. However, his abdominal distension was not relieved after active treatment. Further electronic gastroscopy discovered gastric sinus ulcers, and histopathology of the biopsy confirmed signet-ring cell carcinoma.ConclusionsAlthough patients with cancer-associated DM have an increased risk of thrombosis, prophylactic anticoagulation therapy needs deliberate consideration. It is important to monitor the coagulation parameters dynamically during anticoagulation therapy. Especially when the level of D-dimer is high, and it is uncertain whether the patient is in a state of thrombosis or hyperfibrinolysis, the detection of TAT, PIC, t-PAIC can help to determine whether to initiate anticoagulation therapy.

Potential Biomarkers for Early Diagnosis, Evaluation, and Prognosis of Sepsis-Induced Coagulopathy.

Sepsis-induced coagulopathy (SIC) is a life-threatening complication characterized by the systemic activation of coagulation in sepsis. The diagnostic criteria of SIC consist of three items, including Sequential Organ Failure Assessment (SOFA) score, platelet count, and prothrombin time (PT)-international normalized ratio (INR). SIC has a high prevalence and it can lead to a higher mortality rate and longer length of hospital and ICU stay. Thus, the early detection of SIC is extremely important. It is unfortunate that there is still no precise biomarker for early diagnosis and assessment of the prognosis of SIC. We reviewed the current literature and discovered that some potential biomarkers, such as soluble thrombomodulin (sTM), thrombin-antithrombin complex (TAT), tissue plasminogen activator-inhibitor complex (t-PAIC), α2-plasmin inhibitor-plasmin complex (PIC), C-type lectin-like receptor 2 (CLEC-2), neutrophil extracellular traps (NETs), prothrombin fragment 1.2 (F1.2), Angiopoietin-2 (Ang-2), plasminogen activator inhibitor-1 (PAI-1), and tissue inhibitor of metalloproteinase-1 (TIMP-1) may be useful for early diagnosis, evaluation, and prognosis of SIC. Early initiation of treatment without missing any therapeutic opportunities may improve SIC patients' prognosis. Further large-scale clinical studies are still needed to confirm the role of these biomarkers in the diagnosis and prognosis assessment of SIC.

Thrombomodulin (TM), thrombin-antithrombin complex (TAT), plasmin-α2-plasmininhibitor complex (PIC), and tissue plasminogen activator-inhibitor complex (t-PAIC) assessment of fibrinolytic activity in postpartum hemorrhage: a retrospective comparative cohort study

Detecting the changes of coagulation function in the early stage of postpartum hemorrhage (PPH), which is the leading cause of maternal death, is the key to treatment this serious disease, however, there is less effective assessment methods. Thrombomodulin (TM), thrombin-antithrombin complex (TAT), plasmin-α2-plasmininhibitor complex (PIC), and tissue plasminogen activator-inhibitor complex (t-PAIC) are the new direct indicators for coagulation and fibrinolysis, and considered sensitive molecular markers of the fibrinolytic system changing. The aim of this study was to investigate the changes of these 4 new indicators in the early stage of PPH. We retrospectively reviewed the new coagulate indicators, TM, TAT, PIC, and t-PAIC, obtained from PPH patients at Guangzhou Women and Children's Medical Center from January 2021 to July 2021. According to the amount of blood loss, the patients were divided into 3 groups: Mild group (blood loss <1,500 mL, n=17), Severe group (blood loss ≥1,500 mL, n=24); another 12 women who did not experience PPH were selected as the Normal group (n=12). The four indicators were measured at the time of PPH happened, or immediately when baby was born in the Normal group, and evaluated for the prediction of PPH. The t-PAIC level of the Severe group was significantly lower than the other 2 groups (Normal group vs. Mild group vs. Severe group: 13.9±2.0 vs. 9.4±1.8 vs. 7.5±0.9, P=0.020), and the PIC level was the highest (Normal group vs. Mild group vs. Severe group: 1.1±0.2 vs. 2.7±0.8 vs. 2.9±0.6, P=0.012). There was no significant difference in TM and TAT among the 3 groups. The odds ratio (OR) value of t-PAIC was 0.822, 95% confidence interval (CI): 0.697-0.970, P=0.020. The area under the curve (AUC) of PIC was 0.5, and t-PAIC was 0.775, the cut-off point was 6.295, the specificity was 75%, and the sensitivity was 75%. With the increasing of blood loss, t-PAIC decreased gradually, and is associated with severe PPH. This indicator may be a new predictor of PPH, and should be used in the early period of PPH for treatment.

Tissue-Type Plasminogen Activator-Inhibitor Complex as an Early Predictor of Septic Shock: A Retrospective, Single-Center Study.

Background Sepsis can progress to septic shock and death, and identifying biomarkers of this progression may permit timely intervention to prevent it. This study explored whether levels of tissue-type plasminogen activator-inhibitor complex (t-PAIC) in serum can predict septic shock early. Methods We retrospectively analyzed 311 sepsis patients who had been admitted to the intensive care unit (ICU) at our tertiary care hospital between May 2018 and April 2021, and we divided them into those who progressed to septic shock (n = 203) or not (n = 108) based on sepsis-3 definition. After matching patients in the two groups based on propensity scoring, we screened for risk factors of septic shock using logistic regression. We assessed potential predictors of such shock based on the area under the receiver-operating characteristic curve (AUC), Kaplan-Meier survival curves, and correlation analysis. Results After propensity score matching to generate two equal groups of 108 patients, we found that serum t-PAIC was significantly higher in septic shock patients. Uni- and multivariate logistic regression identified t-PAIC as an independent risk factor for septic shock (OR 1.14, 95% CI 1.09–1.19, P < 0.001) and a biomarker that predicted it with an AUC up to 0.875 (95% CI, 0.829-0.920). Based on the optimal cut-off of t‐PAIC = 17.9 ng/mL, we found that patients at or above this threshold had significantly higher lactate levels and scores on the Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA). Such patients also had significantly worse survival (HR 2.4, 95% CI 1.38–4.34, P = 0.004). Spearman's correlation coefficients were 0.66 between t-PAIC and lactate, and 0.52 between t-PAIC and SOFA. Conclusions Serum levels of t-PAIC may be an independent risk factor for septic shock, and they may correlate with the severity of such shock.