A novel mouse model to study the effects of new therapies for Diamond-Blackfan anemia

Diamond-Blackfan anemia (DBA) is an inherited bone marrow (BM) failure characterized by macrocytic anemia, congenital malformations, and an increased predisposition to cancer. 1,2More than 90% of patients with DBA are diagnosed within the first year of life (median age, 12 weeks). 3The pathogenesis of DBA is linked to loss-of-function mutations in genes that encode ribosomal proteins (RPs), although mutations in 3 non-RP genes (GATA1, TSR2, and HEATR3) have been reported. 1,[4][5]5][6] Mutations in RPS19, RPL5, RPS26, RPL11, RPL35a, RPS10, RPS24, and RPS17 are responsible for ~70% of the patients with DBA.Varying degrees of anemia are observed in 90% of patients with DBA at diagnosis and are the primary reason for treatment, which includes corticosteroids or red blood cell (RBC) transfusions.However, lifelong treatment results in morbidities, such as osteoporosis, diabetes, and iron overload. 1,2,7Currently, hematopoietic stem cell transplantation is the only curative therapy. 3,8The challenge in conducting preclinical studies for new therapies to treat DBA is the lack of mouse models that recapitulate its clinical features, including haploinsufficiency of ribosomal genes, severe anemia, and age of onset.Heterozygous mutations in RPL11 are found in 5% to 7% of patients with DBA. 1,2reviously published mouse models with Rpl11 haploinsufficiency have mild anemia and a normal life span, 9,10 which have limitations for therapeutics development.

Authors

Institutions

Publication Details

Journal
Blood Advances
Published
2025-02-06
DOI
https://doi.org/10.1182/bloodadvances.2024015119
Citations
2
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
1.61

Funders

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

A novel mouse model to study the effects of new therapies for Diamond-Blackfan anemia

Y. Lucy Liu, Kathleen M. Sakamoto, Nicholas Neoman
2 citations
Blood Advances
RNA modifications and cancer
1.61
article

A novel mouse model to study the effects of new therapies for Diamond-Blackfan anemia

Y. Lucy Liu, Kathleen M. Sakamoto, Nicholas Neoman
article en
2 citations

Abstract

Diamond-Blackfan anemia (DBA) is an inherited bone marrow (BM) failure characterized by macrocytic anemia, congenital malformations, and an increased predisposition to cancer. 1,2More than 90% of patients with DBA are diagnosed within the first year of life (median age, 12 weeks). 3The pathogenesis of DBA is linked to loss-of-function mutations in genes that encode ribosomal proteins (RPs), although mutations in 3 non-RP genes (GATA1, TSR2, and HEATR3) have been reported. 1,[4][5]5][6] Mutations in RPS19, RPL5, RPS26, RPL11, RPL35a, RPS10, RPS24, and RPS17 are responsible for ~70% of the patients with DBA.Varying degrees of anemia are observed in 90% of patients with DBA at diagnosis and are the primary reason for treatment, which includes corticosteroids or red blood cell (RBC) transfusions.However, lifelong treatment results in morbidities, such as osteoporosis, diabetes, and iron overload. 1,2,7Currently, hematopoietic stem cell transplantation is the only curative therapy. 3,8The challenge in conducting preclinical studies for new therapies to treat DBA is the lack of mouse models that recapitulate its clinical features, including haploinsufficiency of ribosomal genes, severe anemia, and age of onset.Heterozygous mutations in RPL11 are found in 5% to 7% of patients with DBA. 1,2reviously published mouse models with Rpl11 haploinsufficiency have mild anemia and a normal life span, 9,10 which have limitations for therapeutics development.

Blood AdvancesVol. 9(11)
Stanford Medicine (US), Stanford University (US)
U.S. Department of Defense, California Institute of Regenerative Medicine, National Institutes of Health
Zero hunger
Openalex Percentile: Top 19%
RNA modifications and cancer
1.61
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.