Myelodysplastic syndrome in a case of new‐onset pancytopenia

Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2

Bulk RNA sequencing (RNA-seq) of blood is typically used for gene expression analysis in biomedical research but is still rarely used in clinical practice. In this study, we propose that RNA-seq should be considered a diagnostic tool, as it offers not only insights into aberrant gene expression and splicing but also delivers additional readouts on immune cell type composition as well as B-cell and T-cell receptor (BCR/TCR) repertoires. We demonstrate that RNA-seq offers insights into a patient's immune status via integrative analysis of RNA-seq data from patients infected with various SARS-CoV-2 variants (in total 196 samples with up to 200 million reads sequencing depth). We compare the results of computational cell-type deconvolution methods (e.g., MCP-counter, xCell, EPIC, quanTIseq) to complete blood count data, the current gold standard in clinical practice. We observe varying levels of lymphocyte depletion and significant differences in neutrophil levels between SARS-CoV-2 variants. Additionally, we identify B and T cell receptor (BCR/TCR) sequences using the tools MiXCR and TRUST4 to show that-combined with sequence alignments and BLASTp-they could be used to classify a patient's disease. Finally, we investigated the sequencing depth required for such analyses and concluded that 10 million reads per sample is sufficient. In conclusion, our study reveals that computational cell-type deconvolution and BCR/TCR methods using bulk RNA-seq analyses can supplement missing CBC data and offer insights into immune responses, disease severity, and pathogen-specific immunity, all achievable with a sequencing depth of 10 million reads per sample.

Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2

Bulk RNA sequencing (RNA-seq) of blood is typically used for gene expression analysis in biomedical research but is still rarely used in clinical practice. In this study, we argue that RNA-seq should be considered a routine diagnostic tool, as it offers not only insights into aberrant gene expression and splicing but also delivers additional readouts on immune cell type composition as well as B-cell and T-cell receptor (BCR/TCR) repertoires. We demonstrate that RNA-seq offers vital insights into a patient's immune status via integrative analysis of RNA-seq data from patients infected with various SARS-CoV-2 variants (in total 240 samples with up to 200 million reads sequencing depth). We compare the results of computational cell-type deconvolution methods (e.g., MCP-counter, xCell, EPIC, quanTIseq) to complete blood count data, the current gold standard in clinical practice. We observe varying levels of lymphocyte depletion and significant differences in neutrophil levels between SARS-CoV-2 variants. Additionally, we identify B and T cell receptor (BCR/TCR) sequences using the tools MiXCR and TRUST4 to show that - combined with sequence alignments and pBLAST - they could be used to classify a patient's disease. Finally, we investigated the sequencing depth required for such analyses and concluded that 10 million reads per sample is sufficient. In conclusion, our study reveals that computational cell-type deconvolution and BCR/TCR methods using bulk RNA-seq analyses can supplement missing CBC data and offer insights into immune responses, disease severity, and pathogen-specific immunity, all achievable with a sequencing depth of 10 million reads per sample.

Application of immunomodulatory therapy in a human brucellosis patient with pancytopenia: A case report

Brucellosis is a common zoonotic infectious disease with diverse and non-specific clinical manifestations caused by Brucella. Although Brucella can cause damage to multiple systems in the human body, hematological complications are relatively rare. We present a case of a 47-year-old male brucellosis patient with pancytopenia. In May 2018, the patient was diagnosed with brucellosis and recovered after receiving antibiotic treatment (rifampicin 600 mg/day and doxycycline 200 mg/day) for six weeks. However, after three years, the patient experienced a recurring high fever. Brucellosis relapse was confirmed based on the patient's clinical history, Rose Bengal plate agglutination test and standard tube agglutination test results. Routine blood examination revealed a decrease in the whole blood cell count, suggesting bone marrow suppression. Bone marrow aspiration and bacterial culture confirmed the diagnosis of brucellosis with pancytopenia. Antibiotic treatment failed to effectively improve the patient's condition. Therefore, a combination of immunomodulatory and antibiotic treatments was used. The antibiotic regimen included oral rifampicin 600 mg/day, intravenous doxycycline hydrochloride 200 mg/day, and subcutaneous injection of human granulocyte-stimulating factor (0.2 mg/day). Immunomodulatory therapy consisted of 20,000 mg/day intravenous human immunoglobulin (pH 4) for five days and 800 mg/day oral pidotimod liquid for 20 days. As the treatment progressed, the count gradually recovered to normal levels, and the symptoms of bone marrow suppression were alleviated. PCR testing revealed the absence of Brucella DNA in both monocyte and serum samples. Furthermore, negative standard tube agglutination test results were obtained. These findings indicate that the immunomodulatory therapy resulted in a complete clearance of Brucella. Therefore, immunomodulatory therapy could be an effective option in cases of brucellosis with pancytopenia that are unresponsive to conventional antibiotic treatment. Further research and clinical evidence are required to confirm and optimize the use of immunomodulatory therapies in patients with brucellosis.