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Innovative strategies for mitochondrial dysfunction in myeloproliferative neoplasms a step toward precision medicine.

作者信息

Bosco Shinto, Beniwal Shreya Singh, Munshi Samid Soeb, Calderón Daniela Castro, Jeong Yujin, Cacas Alyanna Cabe, Kumar Sandeep, Carvalho Dos Santos Pedro Henrique Serra, Syed Saif, Dwivedi Ayush, Einieh Mahmoud

机构信息

Dr. D. Y Patil Medical College, Hospital and Research Centre, Dr. D. Y Patil Vidyapeeth (Deemed to be University), Pimpri, Maharashtra, India.

Lady Hardinge Medical College, Connaught Place, New Delhi, India.

出版信息

Ann Med Surg (Lond). 2025 Aug 19;87(9):5557-5568. doi: 10.1097/MS9.0000000000003365. eCollection 2025 Sep.


DOI:10.1097/MS9.0000000000003365
PMID:40901187
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12401363/
Abstract

Myeloproliferative neoplasms (MPNs) are clonal disorders of hematopoietic stem cells characterized by aberrant proliferation of myeloid lineages, driven primarily by mutations in JAK2, CALR, and myeloproliferative leukemia, leading to constitutive activation of the JAK-STAT pathway. Emerging evidence highlights mitochondrial dysfunction as a key factor in MPN pathogenesis, contributing to increased reactive oxygen species production, mitochondrial DNA mutations, and dysregulated mitochondrial dynamics, which collectively promote clonal expansion and apoptosis resistance. Targeting mitochondrial pathways has gained attention as a therapeutic strategy, with approaches including mitochondria-targeted antioxidants, metabolic inhibitors, and modulation of mitophagy and mitochondrial fission/fusion dynamics. However, challenges such as drug delivery specificity, therapeutic resistance, and off-target effects remain significant. Recent advances in precision medicine, incorporating genomic, transcriptomic, and proteomic profiling, offer a more personalized approach to MPN treatment by tailoring interventions to individual mutation patterns. Additionally, novel therapeutic strategies, including gene editing technologies, RNA-based therapies, and nanoparticle-mediated drug delivery systems, hold promise for overcoming current treatment limitations. The integration of artificial intelligence in drug discovery and biomarker identification further enhances the potential for targeted therapies. Future research should focus on refining these strategies, developing reliable biomarkers for patient stratification, and exploring combination therapies that enhance treatment efficacy while minimizing adverse effects. By addressing mitochondrial dysfunction as an underlying driver of MPNs, these emerging approaches have the potential to improve disease management, extend patient survival, and enhance quality of life. Also, this new approach of precision medicine allows patient stratification and ensures that treatments are formed according to the individual disease biology of each patient, which results in overall better outcomes.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e85/12401363/67d6b5630bd2/ms9-87-5557-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e85/12401363/67d6b5630bd2/ms9-87-5557-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e85/12401363/67d6b5630bd2/ms9-87-5557-g001.jpg

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本文引用的文献

[1]
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[2]
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[3]
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ACS Appl Mater Interfaces. 2025-1-15

[4]
Beyond fission and fusion-Diving into the mysteries of mitochondrial shape.

PLoS Biol. 2024-7

[5]
Recent Therapeutic Gene Editing Applications to Genetic Disorders.

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[6]
Advances in Molecular Understanding of Polycythemia Vera, Essential Thrombocythemia, and Primary Myelofibrosis: Towards Precision Medicine.

Cancers (Basel). 2024-4-26

[7]
Machine-learning prediction of a novel diagnostic model using mitochondria-related genes for patients with bladder cancer.

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[8]
The Research Progress of Mitochondrial Transplantation in the Treatment of Mitochondrial Defective Diseases.

Int J Mol Sci. 2024-1-18

[9]
Clinical Approaches for Mitochondrial Diseases.

Cells. 2023-10-20

[10]
Integrated machine learning survival framework develops a prognostic model based on inter-crosstalk definition of mitochondrial function and cell death patterns in a large multicenter cohort for lower-grade glioma.

J Transl Med. 2023-9-2

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