Discrimination between the physiological cleavage fragments of fibrinogen and fibrin offers an approach to differentiation between fibrinogenolytic processes and fibrinolysis after coagulation. By use of the cleavage-associated neoantigen of fibrinogen (fg-D(neo)) as a molecular marker, characteristic differences between the D regions of fibrinogen derivatives and fibrin derivatives can be demonstrated. The expression of fg-D(neo) by X, Y, D:E complex, and D-fragments of fibrinogen or fibrin is shown to be quantitative and unitary. Characteristic differences between fg-D(neo) sites present on fibrinogen cleavage fragments, as contrasted to fibrin cleavage fragments, are indicated by different competitive inhibition slopes, and appear to reflect differential binding affinity of selected anti-fg-D(neo) antibodies for the specific molecular site. There is a linear relationship between the slope of quantitative competitive inhibition and the relative molar ratio of fibrinogen and fibrin derivatives. Identical immunochemical expressions are observed in vitro and in vivo, and support the thesis that cleavage in vivo is produced by plasmin. The differential immunochemical features of fg-D(neo) expression may be the result of stable conformational and/or subtle structural differences between the D region of fibrinogen and fibrin cleavage fragments and suggest that precise changes in the D region are associated with the fibrin transition. These molecular features not only provide additional insight into the molecular immunology and structure of fibrinogen, but also appear to offer a new molecular approach to discrimination between fibrinogenolytic mechanisms as contrasted to fibrinolysis secondary to coagulation.
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http://dx.doi.org/10.1073/pnas.70.4.1169 | DOI Listing |
Int J Mol Sci
January 2025
Expert Medical Analysis Group, Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain.
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Thrombosis and Hemostasis Unit, Rambam Health Care Campus, Haifa 3109601, Israel.
Circadian misalignment, due to shiftwork and/or individual chronotype and/or social jetlag (SJL), quantified as the difference between internal and social timing, may contribute to cardiovascular disease. Markers of endothelial dysfunction and activation of the coagulation system may predict cardiovascular pathology. The present study aim was to investigate the effects of shift work, SJL, and chronotype on endothelial function and coagulation parameters.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Cardiology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430016, China.
To determine the risk factors for poor prognosis of influenza-associated encephalopathy (IAE), 56 eligible children with IAE who were treated in the pediatric intensive care unit of Wuhan Children's Hospital from January 2022 to December 2023 were selected for retrospective analysis and grouped according to poor prognosis or not, and independent risk factors for poor prognosis were found by regression analysis. Results showed 26 children (26/30, 46.4%) had a poor prognosis.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Hematology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
It has been documented that D-dimer levels have potential utility as a measure of tumor activity in diffuse large B-cell lymphoma (DLBCL), however whether it can be used as a predictive marker of treatment outcome has not been established. This study means to retrospectively evaluate the role of D-dimer in prediction of treatment efficacy in patients with DLBCL. 151 patients with newly diagnosed DLBCL were enrolled.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Department of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan.
Purpose: D-dimer, a fibrinolysis indicator, may predict functional and life outcomes in traumatic brain injury (TBI) patients. We aimed to identify optimal D-dimer cutoff values for poor functional outcomes in severe TBI.
Methods: We used data from a multi-centre prospective observational cohort study that included patients with TBI with a Glasgow Coma Scale (GCS) score ≤ 8 within 48 h after injury or required neurosurgical procedures.
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