Myelodysplastic syndromes (MDS) are a group of hematopoietic disorders characterized by ineffective hematopoiesis, with manifestations of cytopenias in one, two, or three lineages. CD34+ micromegakaryocytes and giant platelets are very rarely seen in MDS patients but may lead to unnecessary treatments. Therefore, we report and follow up on an MDS case with such an unusual finding.

A 57-year-old male veteran with a history of MDS, alcoholic cirrhosis, and portal hypertension presented to the Emergency Department in 2020 for evaluation after a blackout, at which time peripheral blood samples and bone marrow biopsies were obtained. Flow cytometry analysis of his peripheral blood detected 8% CD34+ cells. This finding raised the possibility of acute leukemic transformation from MDS. Further studies revealed that these CD34+ cells represented dysplastic micromegakaryocytes and giant platelets rather than blasts. During his 4-year follow-up, the patient was alive and complained only of easy fatigability, lasting several weeks. His laboratory results showed pancytopenia and persistent iron-deficiency anemia.

The distinction between micromegakaryocytes and giant platelets versus megakaryoblasts is extremely important in patients with MDS. This distinction may prevent misdiagnosis of acute leukemia and unnecessary treatments such as chemotherapy.

Studies suggest that Yiguanjian (YGJ) may exert a therapeutic effect on liver fibrosis. However, the active components and molecular targets responsible for its action remain unclear. This study aimed to systematically evaluate the active ingredients and potential targets of YGJ in the treatment of liver fibrosis.

Active compounds and corresponding targets of YGJ were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and the Encyclopedia of Traditional Chinese Medicine (ETCM) databases. Liver fibrosis-related datasets were obtained from the Gene Expression Omnibus (GEO) database and divided into training and validation sets. Differentially expressed genes (DEGs) from the training set were subsequently analyzed using network pharmacology, molecular dynamics simulations, and immune infiltration analysis. Three machine learning models were employed to screen for core targets, followed by Gene Set Enrichment Analysis (GSEA) and Mendelian randomization (MR) analysis. The validation set was used to assess the expression levels and diagnostic potential of core targets.

A total of 2,887 liver fibrosis-related targets and 1,198 YGJ-related targets were identified. Three hundred and three putative targets for YGJ in the treatment of liver fibrosis were identified. Three machine learning methods further narrowed these down to five core targets. Immune infiltration analysis revealed an increase in effector B cells, resting CD4+ memory T cells, γδ T cells, and M1 macrophages during liver fibrosis progression. MR analysis showed that all five core targets (FABP4, MDM2, AKR1B1, PDGFRB, and NR1H4) had odds ratios greater than 1, indicating that they function as risk factors. Expression analyses in both the training and validation sets consistently validated the MR results, demonstrating strong diagnostic potential. GSEA revealed that the core targets were enriched in key signaling pathways, including Wnt, PPAR, and MAPK. Molecular docking and molecular dynamics simulations showed that the active compounds of YGJ exhibited strong binding affinity and stability with the core targets.

YGJ exerts its potential antifibrotic effects by downregulating or antagonizing the risk-associated targets (FABP4, MDM2, AKR1B1, PDGFRB, and NR1H4). These findings provide new insights into the potential of YGJ for treating liver fibrosis, while offering a scientific reference for the prevention and treatment of chronic liver diseases.