Objective: To establish a fluorescent bead-based multiplex assay for the simultaneous detection of seven viral diseases endemic in Africa. Methods: The genomic sequences of the viral pathogens causing Rift valley fever, Yellow fever, Marburg virus disease, Ebola virus disease, Lassa fever, Crimean-Congo hemorrhagic fever and Chikungunya fever were compared, PCR detection target fragments were selected, and amplification primers and hybrid probes were designed. The reference samples of related pathogens were prepared by chemical synthesis of DNA and in vitro transcription RNA. The sensitivity and stability of the detection method were evaluated. The specificity was evaluated by testing 30 samples of suspected dengue fever, and hantavirus diseases, and 32 healthy human blood samples. Results: The fluorescent bead-based multiplex assay could specifically detect the corresponding pathogen, the detection limit was at a range of 10²-10⁵ copies/ μl, the specificity was 100%, and the intra-assay coefficient of variation was below 12%, and the inter-assay coefficient of variation was below 15%. Conclusions A fluorescent bead-based multiplex PCR assay for the simultaneous detection of seven viral diseases endemic in Africa was established, which may provide a new choice for the screening of suspected infectious diseases.

OBJECTIVE: To explore the clinical and laboratory characteristics of hematological tumors with different types of abnormalities in platelet derived growth factor β (PDGFRβ) gene. METHODS: A retrospective analysis was carried out on 141 patients with abnormal long arm of chromosome 5 (5q) and comprehensive medical history data from Changhai Hospital Affiliated to Naval Medical University from 2009 to 2020, and their clinical data were collected. R-banding technique was used for chromosomal karyotyping analysis for the patient's bone marrow, and fluorescence in situ hybridization (FISH) was used to detect the PDGFRβ gene. The results of detection were divided into the amplification group, deletion group, and translocation group based on FISH signals. The three sets of data column crosstabs were statistically analyzed, and if the sample size was n >= 40 and the expected frequency T for each cell was >= 5, a Pearson test was used to compare the three groups of data. If N < 40 and any of the expected frequency T for each cell was < 5, a Fisher's exact test is used. Should there be a difference in the comparison results between the three sets of data, a Bonferroni method was further used to compare the data. RESULTS: In total 98 patients were detected to have PDGFRβ gene abnormalities with the PDGFRβ probe, which yielded a detection rate of 69.50% (98/141). Among these, 38 cases (38.78%) had PDGFRβ gene amplifications, 57 cases (58.16%) had deletions, and 3 (3.06%) had translocations. Among the 98 cases, 93 were found to have complex karyotypes, including 37 cases from the amplification group (97.37%, 37/38), 55 cases from the deletion group (96.49%, 55/57), and 1 case from the translocation group (33.33%, 1/3). Analysis of three sets of clinical data showed no significant gender preponderance in the groups (P > 0.05). The PDGFRβ deletion group was mainly associated with myeloid tumors, such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) (P < 0.001). The PDGFRβ amplification group was more common in lymphoid tumors, such as multiple myeloma (MM) (P < 0.001). The PDGFRβ translocation group was also more common in myelodysplastic/myeloproliferative tumors (MDS/MPN). CONCLUSION Tumors with PDGFRβ gene rearrangement may exhibit excessive proliferation of myeloproliferative tumors (MPN) and pathological hematopoietic changes in the MDS, and have typical clinical and hematological characteristics. As a relatively rare type of hematological tumor, in addition to previously described myeloid tumors such as MPN or MDS/MPN, it may also cover lymphoid/plasma cell tumors such as multiple myeloma and non-Hodgkin's lymphoma.
Humans ; Clinical Relevance ; Hematologic Neoplasms/genetics* ; In Situ Hybridization, Fluorescence ; Multiple Myeloma ; Myelodysplastic Syndromes ; Retrospective Studies ; Translocation, Genetic

Utilizing data presented in the article by Miyashita et al., we illustrate the importance of testing data when assessing surveillance data. Accounting for the number of tests (denominator) and positivity (proportion of tests positive for a specific pathogen(s)) improves data interpretation in ways not possible from numerator case data alone.

Glioblastoma multiforme (GBM), a highly malignant and heterogeneous brain tumor, contains various types of tumor and non-tumor cells. Whether GBM cells can trans-differentiate into non-neural cell types, including mural cells or endothelial cells (ECs), to support tumor growth and invasion remains controversial. Here we generated two genetic GBM models de novo in immunocompetent mouse brains, mimicking essential pathological and molecular features of human GBMs. Lineage-tracing and transplantation studies demonstrated that, although blood vessels in GBM brains underwent drastic remodeling, evidence of trans-differentiation of GBM cells into vascular cells was barely detected. Intriguingly, GBM cells could promiscuously express markers for mural cells during gliomagenesis. Furthermore, single-cell RNA sequencing showed that patterns of copy number variations (CNVs) of mural cells and ECs were distinct from those of GBM cells, indicating discrete origins of GBM cells and vascular components. Importantly, single-cell CNV analysis of human GBM specimens also suggested that GBM cells and vascular cells are likely separate lineages. Rather than expansion owing to trans-differentiation, vascular cell expanded by proliferation during tumorigenesis. Therefore, cross-lineage trans-differentiation of GBM cells is very unlikely to occur during gliomagenesis. Our findings advance understanding of cell lineage dynamics during gliomagenesis, and have implications for targeted treatment of GBMs.
Mice ; Animals ; Humans ; Glioblastoma/pathology* ; Endothelial Cells/pathology* ; DNA Copy Number Variations ; Brain/metabolism* ; Brain Neoplasms/pathology*