Evidence map›Paper›PMID 40369677›Full record

ArticleExperimental hematology & oncology2025

A correlation of ineffective erythropoiesis and dysregulated signaling pathways in myelodysplastic syndromes/neoplasms.

Junying Wu, Jinqin Liu, Jia Chen, Lin Yang, Fuhui Li, Tiejun Qin, Zefeng Xu, Jing Liu, Jiaxi Zhou, Lihong Shi and 2 more

Abstract read
In one paragraph

Article in Experimental hematology & oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Junying Wu *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Jinqin Liu *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Jia ChenState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Lin YangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Fuhui LiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Tiejun QinMDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 288 Nanjing Road, Tianjin, 300020, China.
Zefeng XuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Jing LiuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Jiaxi ZhouState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Lihong ShiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Bing LiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Zhijian XiaoState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. zjxiao@ihcams.ac.cn.

Funding

CAMS Initiative Fund for Medical Sciences 2022-I2M-1-022, 2023-I2M-2-007National Natural Science Foundation of China 82170139
6 · The paper itself

Abstract

Over 90% of patients with myelodysplastic syndromes/neoplasms (MDS) exhibit anemia at diagnosis, primarily due to ineffective erythropoiesis. This is characterized by abnormal proliferation and differentiation of erythroid cells influenced by signaling pathways including heme synthesis, ferroptosis, senescence and apoptosis. Despite widespread anemia, the specific mechanisms and pathway alterations at different disease stages are not well understood. This study employed the NUP98-HOXD13 (NHD13) transgenic mouse model, which mimicked the erythroid changes observed in MDS patients, to explore these dynamic pathway changes during disease progression. Based on the severity of anemia and changes in mean corpuscular volume (MCV), four time points were selected: 6 weeks (non-anemic), 12 weeks (mild anemia), 16 weeks (obvious anemia) and 20 weeks (severe macrocytic anemia). The findings indicated that a reduction in erythroid-committed progenitors and impaired erythroid maturation were linked to ineffective erythropoiesis. As the disease progressed, signaling pathways dynamically changed. Heme metabolism and ferroptosis pathways were significantly upregulated in the pre-disease and early disease stages, while senescence and cell cycle pathways were activated in the early stage. The prominent roles of apoptosis, pyroptosis and inflammasome signaling pathways were observed in the late stage. Notably, changes in Gpx4 and Ncoa4 expression, along with transmission electron microscopy analysis, suggested that ferroptosis played a critical role in the early stage of the disease. To our knowledge, this is the first report of the signaling pathway dynamics associated with ineffective erythropoiesis during the pathogenesis and progression of MDS, highlighting potential targets for therapeutic intervention at various stages of the disease.

Indexed as

FerroptosisIneffective erythropoiesisMyelodysplastic syndrome/neoplasmsSignaling pathway changes

Identifiers

PMID40369677
PMCPMC12079896

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.