Single-cell transcriptome sequencing reveals the mechanism of Realgar improvement on erythropoiesis in mice with myelodysplastic syndrome

Myelodysplastic syndrome (MDS) is a malignant hematologic disorder with limited curative options, primarily reliant on hematopoietic stem cell transplantation. Anemia, a prevalent symptom of MDS, has few effective treatment strategies. Realgar, though known for its therapeutic effects on MDS, remains poorly understood in terms of its mechanism of action. In this study, both in vivo and in vitro experiments were conducted using Realgar and its primary active component, As<sub>2</sub>S<sub>2</sub>, to examine their impact on mouse erythroblasts at the single-cell level. Realgar treatment significantly altered the transcriptional profiles and cellular composition of bone marrow in mice, both in vivo and in vitro. Differentially expressed genes in erythroblasts regulated by Realgar were identified, unveiling potential regulatory functions and signaling pathways, such as heme biosynthesis, hemoglobin production, oxygen binding, IL-17 signaling, and MAPK pathways. These findings suggest that Realgar enhances the differentiation of erythroblasts in mouse bone marrow and improves overall blood cell counts. This work offers preliminary insights into Realgar's mechanisms, expands the understanding of this mineral medicine, and may inform strategies to optimize its therapeutic potential in hematologic diseases.

Authors

Institutions

Publication Details

Journal
Cancer Cell International
Published
2025-04-08
DOI
https://doi.org/10.1186/s12935-025-03768-0
Citations
2
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
3.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell transcriptome sequencing reveals the mechanism of Realgar improvement on erythropoiesis in mice with myelodysplastic syndrome

Yuchen Tao, Qi Hu, Jizhang Bao, Yanlu Wang et al.
2 citations
Cancer Cell International
Acute Myeloid Leukemia Research
3.54
article

Single-cell transcriptome sequencing reveals the mechanism of Realgar improvement on erythropoiesis in mice with myelodysplastic syndrome

Yuchen Tao, Qi Hu, Jizhang Bao, Yanlu Wang, Shuyang Cai, Hao Xu, Fan Wu, Jiahui Lü, Yu Guan, Kexin Hu
article en
2 citations

Abstract

Myelodysplastic syndrome (MDS) is a malignant hematologic disorder with limited curative options, primarily reliant on hematopoietic stem cell transplantation. Anemia, a prevalent symptom of MDS, has few effective treatment strategies. Realgar, though known for its therapeutic effects on MDS, remains poorly understood in terms of its mechanism of action. In this study, both in vivo and in vitro experiments were conducted using Realgar and its primary active component, As<sub>2</sub>S<sub>2</sub>, to examine their impact on mouse erythroblasts at the single-cell level. Realgar treatment significantly altered the transcriptional profiles and cellular composition of bone marrow in mice, both in vivo and in vitro. Differentially expressed genes in erythroblasts regulated by Realgar were identified, unveiling potential regulatory functions and signaling pathways, such as heme biosynthesis, hemoglobin production, oxygen binding, IL-17 signaling, and MAPK pathways. These findings suggest that Realgar enhances the differentiation of erythroblasts in mouse bone marrow and improves overall blood cell counts. This work offers preliminary insights into Realgar's mechanisms, expands the understanding of this mineral medicine, and may inform strategies to optimize its therapeutic potential in hematologic diseases.

Cancer Cell InternationalVol. 25(1)
Shanghai University of Traditional Chinese Medicine (CN), Shanghai Traditional Chinese Medicine Hospital (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 9%
Acute Myeloid Leukemia Research
3.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.