Y-box binding protein 1 in small extracellular vesicles reduces mesenchymal stem cell differentiation to osteoblasts-implications for acute myeloid leukaemia.
Venkatesh Kumar ChettyJamal GhanamKristína LicháAlexandra BrenzelDirk ReinhardtBasant Kumar ThakurPublished in: Journal of extracellular vesicles (2024)
Small extracellular vesicles (sEVs) released by acute myeloid leukaemia (AML) cells have been reported to influence the trilineage differentiation of bone marrow-derived mesenchymal stem cells (BM-MSCs). However, it remains elusive which biological cargo from AML-sEVs is responsible for this effect. In this study, sEVs were isolated from cell-conditioned media and blood plasma using size-exclusion chromatography and ultrafiltration and characterized according to MISEV2018 guidelines. Our results demonstrated that AML-sEVs increased the proliferation of BM-MSCs. Conversely, key proteins that are important for normal haematopoiesis were downregulated in BM-MSCs. Additionally, we revealed that AML-sEVs significantly reduced the differentiation of BM-MSCs to osteoblasts without affecting adipogenic or chondrogenic differentiation. Next, LC-MS/MS proteomics elucidated that various proteins, including Y-box-binding protein 1 (YBX1), were upregulated in both AML-sEVs and BM-MSCs treated with AML-sEVs. Clinically relevant, we found that YBX1 is considerably upregulated in most paediatric AML patient-derived sEVs compared to healthy controls. Interestingly, sEVs isolated after the downregulation of YBX1 in AML cells remarkably rescued the osteoblastic differentiation of BM-MSCs. Altogether, our data demonstrate for the first time that YBX1 containing AML-sEVs is one of the key players that disrupt the normal function of bone marrow microenvironment by reducing the osteogenic differentiation of BM-MSCs.
Keyphrases
- mesenchymal stem cells
- acute myeloid leukemia
- bone marrow
- umbilical cord
- binding protein
- allogeneic hematopoietic stem cell transplantation
- cell therapy
- induced apoptosis
- stem cells
- mass spectrometry
- signaling pathway
- liver failure
- emergency department
- immune response
- respiratory failure
- single cell
- transcription factor
- high resolution
- cell death
- vascular smooth muscle cells
- artificial intelligence
- machine learning
- endoplasmic reticulum stress
- hepatitis b virus
- deep learning
- pi k akt