Background: Broad-range PCR provides valuable information for detecting bacterial infections. This study assesses the combined use of broad-range real-time PCR and high-resolution melting analysis for rapid detection and identification of clinically important bacteria. Methods: We subjected 46 bacterial culture colonies representing 25 clinically important bacterial species to LightCycler real-time PCR amplification of the 16S rRNA gene in the presence of LCGreen I fluorescent dye. We performed high-resolution melting analysis of the PCR products with the HR-1 instrument and used melting profiles as molecular fingerprints for bacterial species identification. We validated this method via assessment of 54 consecutive bacteria culture colonies obtained from a clinical microbiology laboratory. Results: The 16S rRNA gene of all 25 bacterial species was amplifiable by this method, with PCR product lengths of 216 or 217 bp. Of the 25 bacterial species, we identified 11 via a 1-step post-PCR high-resolution melting analysis. The remaining bacterial species were identified via the high-resolution melting plots obtained by heteroduplex formation between the PCR products of the tested and reference bacterial species or by a 2nd real-time PCR targeting a different region of the 16S rRNA gene. A high-resolution melting database and a working protocol were established for identifying these 25 bacterial species. In the validation assay, a 94% accuracy rate was achieved when the bacterial species were in the high-resolution melting database. Conclusions: This assay requires no multiplexing or hybridization probes and provides a new approach for bacterial species identification in a molecular diagnostic laboratory.

Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the development of computational programs that can mimic human intelligence. In particular, machine learning and deep learning models have enabled the identification and grouping of patterns within data, leading to the development of AI systems that have been applied in various areas of hematology, including digital pathology, alpha thalassemia patient screening, cytogenetics, immunophenotyping, and sequencing. These AI-assisted methods have shown promise in improving diagnostic accuracy and efficiency, identifying novel biomarkers, and predicting treatment outcomes. However, limitations such as limited databases, lack of validation and standardization, systematic errors, and bias prevent AI from completely replacing manual diagnosis in hematology. In addition, the processing of large amounts of patient data and personal information by AI poses potential data privacy issues, necessitating the development of regulations to evaluate AI systems and address ethical concerns in clinical AI systems. Nonetheless, with continued research and development, AI has the potential to revolutionize the field of hematology and improve patient outcomes. To fully realize this potential, however, the challenges facing AI in hematology must be addressed and overcome.

Disabled-2 (DAB2) is an adapter protein that is up-reg-ulated during megakaryocytic differentiation of hematopoietic cells and is abundantly expressed in platelets. In this study, the role of DAB2 in integrin α_IIbβ₃-mediated matrix protein fibrinogen adhesion and cell signaling was investigated. In K562 cells differentiating to the megakaryocytic lineage, down-regulation of DAB2 by DAB2 small interfering RNA augmented integrin α_IIbβ₃ activation and resulted in an increase in cell adhesion to fibrinogen. Ectopic expression of DAB2 reversed the DAB2 small interfering RNA effect or, by itself, decreased fibrinogen adhesion of K562 cells. Mutational analysis revealed that a DAB2 Ser²⁴ phosphorylation mutant (S24A) abrogated the inhibitory function of DAB2. The spatial and temporal association/interaction of DAB2 and platelet integrin α_IIbβ₃ (CD61) in both megakaryocytic cells and platelets led us to examine the effect of Ser²⁴ phosphorylation on the interaction between DAB2 and integrin β₃. Through cellular localization and co-immunoprecipitation analysis, we demonstrate for the first time that Ser²⁴ phosphorylation promotes membrane translocation of DAB2 and its subsequent interaction with integrin β₃, thereby defining a mechanism for DAB2 in regulating integrin α_IIbβ₃ activation and inside-out signaling. Consistent with the effect on fibrinogen adhesion, Ser²⁴ phosphorylation of DAB2 was also involved in the negative regulation of α_IIbβ₃-induced T cell factor transcriptional activity. In contrast, the S24A mutant acted like wild-type DAB2 and inhibited both β-catenin- and plakoglobin-mediated T cell factor transactivation. Hence, DAB2 elicits distinct regulatory mechanisms in α_IIbβ₃ and β-catenin/plakoglobin signaling in a Ser²⁴ phosphorylation-dependent and -independent manner, respectively. These findings indicate Ser²⁴ phosphorylation as a molecular basis for DAB2 acting as a negative regulator in α_IIbβ₃ inside-out signaling and contribute to our understanding of DAB2 in megakaryocytic differentiation and platelet function.

Sepsis remains a critical global health challenge characterized by life-threatening organ dysfunction arising from a dysregulated host response to infection. Immunothrombosis refers to the intersection of immune activation and coagulation pathways, particularly relevant in the context of sepsis. A growing body of evidence identifies immunothrombosis, a tightly interwoven process between innate immunity and coagulation. While immunothrombosis serves as a host defense mechanism under physiological conditions, its aberrant activation in sepsis precipitates microvascular thrombosis, organ ischemia, and progression toward disseminated intravascular coagulation (DIC). This review provides a comprehensive overview of the cellular contributors to immunothrombosis, including neutrophils, monocytes, platelets, and endothelial cells, and elucidates the signaling cascades, such as nuclear factor kappa B (NF-κB), mitogen-activated protein kinase (MAPK), and inflammasome activation, that govern their interplay. We further highlight emerging molecular mediators, including extracellular traps, tissue factor expression, and cytokine amplification loops, that collectively promote pathological thromboinflammation. A deeper understanding of these interconnected pathways offers critical insights into the pathogenesis of sepsis and unveils potential targets for timely intervention. Ultimately, this review aims to bridge immunological and hematological perspectives to inform the development of novel therapeutic strategies against sepsis-induced coagulopathy.