The advent of whole-slide imaging, faster image data generation, and cheaper forms of data storage have made it easier for pathologists to manipulate digital slide images and interpret more detailed biological processes in conjunction with clinical samples. In parallel, with continuous breakthroughs in object detection, image feature extraction, image classification and image segmentation, artificial intelligence (AI) is becoming the most beneficial technology for high-throughput analysis of image data in various biomedical imaging disciplines. Integrating digital images into biological workflows, advanced algorithms, and computer vision techniques expands the biologist's horizons beyond the microscope slide. Here, we introduce recent developments in AI applied to microscopy in hematopathology. We give an overview of its concepts and present its applications in normal or abnormal hematopoietic cells identification. We discuss how AI shows great potential to push the limits of microscopy and enhance the resolution, signal and information content of acquired data. Its shortcomings are discussed, as well as future directions for the field.
B-cell acute lymphoblastic leukemia (B-ALL) is a malignant tumor originating from B-lineage lymphoid precursor cells. The incidence of B-ALL is about 80% in childhood acute leukemia and 20% in adults. In recent years, with standardized treatment guided by risk stratification, the long-term disease-free survival rate of children is about 80%, while that of adults is less than 40%. However, the specific pathogenesis of the newly identified B-ALL and the targeted therapy strategies have not been vigorously investigated. In this review, we highlight the recent breakthroughs in mechanistic studies and novel therapeutic options in DUX4- and MEF2D-subtype B-ALLs.
Children with sickle cell disease (SCD) are particularly prone to pneumococcal infection and administration of Prevenar 13 pneumococcal vaccine in Nigerian children with SCD is yet to be wide spread. This call for the need to study humoral immune responses stimulated by Prevenar 13 pneumococcal vaccine in SCD children to confirm the benefit or otherwise for the use of Prevenar 13 pneumococcal vaccine.
Method: The levels of humoral (innate and adaptive) immune factors and associated nutritionally essential trace elements were determined following Prevenar 13 pneumococcal vaccination of 23 Nigerian children with SCD. Serum innate humoral immune factors [Complement factors (C1q and C4), transferrin, ferritin, and C-reactive protein (CRP)] and adaptive humoral immune factors [IgG, IgA, IgM, and IgE] were determined using ELISA. Nutritionally essential trace elements such as iron (Fe), copper (Cu), and zinc (Zn) were measured also using an atomic absorption spectrophotometer.
Results: The serum levels of certain innate humoral immune factors (ferritin, CRP, and C4), only one adaptive humoral immune factors (IgE), and essential trace elements (Fe, Zn, and Cu) were significantly elevated in children with SCD post Prevenar 13 pneumococcal vaccination when compared to prevaccination levels.
Conclusion: Vaccination of children with SCD with Prevenar 13 pneumococcal vaccine was associated with increased levels of more innate humoral immune factors than adaptive factors. This study thus supports the administration of Prevenar 13 pneumococcal vaccination to children with SCD.
RNA-binding proteins (RBPs) are widely involved in the transcriptional and posttranscriptional regulation of multiple biological processes. The transcriptional regulatory ability of RBPs was indicated by the identification of chromatin-enriched RBPs (Che-RBPs). One of these proteins, KH-type splicing regulatory protein (KHSRP), is a multifunctional RBP that has been implicated in mRNA decay, alternative splicing, and miRNA biogenesis and plays an essential role in myeloid differentiation by facilitating the maturation of miR-129. In this study, we revealed that KHSRP regulates monocytic differentiation by regulating gene transcription and RNA splicing. KHSRP-occupied specific genomic sites in promoter and enhancer regions to regulate the expression of several hematopoietic genes through transcriptional activation and bound to pre-mRNA intronic regions to modulate alternative splicing during monocytic differentiation. Of note, KHSRP had co-regulatory effects at both the transcriptional and posttranscriptional levels on MOGOH and ADARB1. Taken together, our analyses revealed the dual DNA- and RNA-binding activities of KHSRP and have provided a paradigm to guide the analysis of other functional Che-RBPs in different biological systems.
To investigate the risk factors for cytomegalovirus (CMV) infection within 100 days and the relationship between early CMV infection and 1-year relapse for patients with acute leukemia following allogeneic hematopoietic stem cell transplantation (allo-HSCT).
Methods: Three hundred fifty-nine patients with acute leukemia who received allo-HSCT at our center between January 2015 and January 2020 were retrospectively reviewed.
Results: Of 359 patients, 48.19% (173) patients experienced CMV infection within 100 days posttransplantation. In univariate and multivariate logistic analysis, haploidentical-related donor (HRD) (P < 0.001; odds ratio [OR], 5.542; 95% confidence interval [CI], 3.186-9.639), and ratio of CD3+CD8+ cells in lymphocytes <14.825% (P < 0.001; OR, 3.005; 95% CI, 1.712-5.275) were identified as 2 independent risk factors. One-year relapse rate (RR) between the CMV infection group and the non-CMV infection group was not statistically significant (18.5% vs 19.9%, P = 0.688). When we divided the total cohort into AML, ALL, and MAL subgroups, there were no significant differences as well (P = 0.138; P = 0.588; P = 0.117; respectively).
Conclusion: In conclusion, donor type (HRD) and the insufficient recovery of CD3+CD8+ cells were independent risk factors for CMV infection within 100 days posttransplantation in patients with acute leukemia. CMV infection within 100 days did not influence the incidence of relapse in 1 year for patients with acute leukemia.

