Usage Information

Leukemia-expanded splenic CD81+ erythroblasts potentiate disease progression in mice by reshaping leukemic cell metabolism
Yue Li, Jiaxuan Cao, Jingyuan Tong, Peixia Tang, Haoran Chen, Guohuan Sun, Zining Yang, Xiaoru Zhang, Fang Dong, Shangda Yang, Jie Gao, Xiangnan Zhao, Jinfa Ma, Di Wang, Lei Zhang, Lin Wang, Tao Cheng, Hui Cheng, Lihong Shi
Yue Li, Jiaxuan Cao, Jingyuan Tong, Peixia Tang, Haoran Chen, Guohuan Sun, Zining Yang, Xiaoru Zhang, Fang Dong, Shangda Yang, Jie Gao, Xiangnan Zhao, Jinfa Ma, Di Wang, Lei Zhang, Lin Wang, Tao Cheng, Hui Cheng, Lihong Shi
View: Text | PDF
Research Article Cell biology Hematology Metabolism

Leukemia-expanded splenic CD81+ erythroblasts potentiate disease progression in mice by reshaping leukemic cell metabolism

Abstract

During the progression of acute myeloid leukemia (AML), extramedullary hematopoiesis (EMH) compensates for impaired bone marrow hematopoiesis. However, the specific cellular dynamics of EMH and its influence on AML progression remain poorly understood. In this study, we identified a substantial expansion of the CD81+ erythroblast subpopulation (CD81+ Erys) in the spleens of AML mice, which promoted AML cell proliferation and reduced survival. Mechanistically, CD81+ Erys secrete elevated levels of macrophage migration-inhibitory factor (MIF), which interacted with the CD74 receptor on AML cells, activating the mTORC1 signaling pathway and upregulating Egln3. Consequently, AML cells cocultured with CD81+ Erys exhibited reprogrammed phospholipid metabolism, characterized by an increased phospholipid-to-lysophospholipid ratio. Modulating this metabolic shift, either by supplementing exogenous lysophospholipids or depleting Egln3 in AML cells, restored the phospholipid balance and mitigated the protumorigenic effects induced by CD81+ Erys. Overall, our findings elucidate the molecular crosstalk between erythroblasts and AML cells, extend our insights into the mechanisms driving AML progression, and suggest potential therapeutic strategies.

Authors

Yue Li, Jiaxuan Cao, Jingyuan Tong, Peixia Tang, Haoran Chen, Guohuan Sun, Zining Yang, Xiaoru Zhang, Fang Dong, Shangda Yang, Jie Gao, Xiangnan Zhao, Jinfa Ma, Di Wang, Lei Zhang, Lin Wang, Tao Cheng, Hui Cheng, Lihong Shi

×

Usage data is cumulative from December 2025 through July 2026.

Usage JCI PMC
Text version 3,034 447
PDF 797 210
Figure 825 0
Supplemental data 2,851 23
Citation downloads 175 0
Totals 7,682 680
Total Views 8,362

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement