Academic Journal
Towards Structural Restoration: Epigenetic Reprogramming and Direct Astrocyte-to-Neuron Lineage Conversion as Next-Generation Regenerative Neurotherapeutics.
| Τίτλος: | Towards Structural Restoration: Epigenetic Reprogramming and Direct Astrocyte-to-Neuron Lineage Conversion as Next-Generation Regenerative Neurotherapeutics. |
|---|---|
| Συγγραφείς: | Nguyen HM; Center for Pharmaceutical Biotechnology, College of Medicine and Pharmacy, Duy Tan University, Da Nang City, Vietnam. nguyenminhhung@dtu.edu.vn.; Faculty of Medicine, College of Medicine and Pharmacy, Duy Tan University, Da Nang City, Vietnam. nguyenminhhung@dtu.edu.vn., Nguyen LDT; Center for Pharmaceutical Biotechnology, College of Medicine and Pharmacy, Duy Tan University, Da Nang City, Vietnam. |
| Πηγή: | Molecular neurobiology [Mol Neurobiol] 2026 Aug 10; Vol. 63 (1). Date of Electronic Publication: 2026 Aug 10. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Humana Press Country of Publication: United States NLM ID: 8900963 Publication Model: Electronic Cited Medium: Internet ISSN: 1559-1182 (Electronic) Linking ISSN: 08937648 NLM ISO Abbreviation: Mol Neurobiol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Clifton, NJ : Humana Press, c1987- |
| Ιατρικοί όροι (MeSH): | Astrocytes*/metabolism , Astrocytes*/cytology , Neurons*/metabolism , Neurons*/cytology , Cellular Reprogramming*/genetics , Epigenesis, Genetic* , Cell Lineage* , Nerve Regeneration*, Humans ; Animals |
| Περίληψη: | While the recent clinical approval of amyloid-targeting monoclonal antibodies represents a landmark in Alzheimer's disease (AD) management, these immunotherapies fundamentally function as agents of mitigation rather than restoration, failing to reconstitute decimated neural circuitry. Direct in situ astrocyte-to-neuron reprogramming offers a compelling regenerative alternative by leveraging the abundant endogenous glial reservoir. However, translating this cellular plasticity in vivo is severely bottlenecked by the hostile pathological microenvironment and the deeply entrenched epigenetic memory of reactive astrocytes. In this review, we delineate a tripartite neuroregenerative framework. First, we evaluate the prerequisite use of senotherapeutics to engineer a permissive parenchymal niche for nascent neuronal survival. Second, we explore epigenomic editing strategies-including CRISPR-dCas9 platforms and targeted pharmacological modulators-required to dismantle repressive heterochromatin and unlock sequestered neurogenic loci. Third, we dissect the molecular execution of reprogramming via pioneer transcription factors (TFs), emphasizing the obligatory metabolic rewiring from astrocytic glycolysis to neuronal oxidative phosphorylation (OXPHOS). Finally, to overcome formidable translational hurdles, we highlight the convergence of AI-optimized lipid nanoparticles (LNPs) for non-viral blood-brain barrier (BBB) transcytosis alongside Neurological Digital Twins (NDTs) to computationally predict the optimal presymptomatic intervention window. By harmonizing microenvironmental conditioning, epigenetic rejuvenation, and precision delivery, this systems-level blueprint provides a promising rationale for transitioning AD therapeutics from passive deceleration to active structural restoration. (© 2026. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.) |
| Competing Interests: | Declarations. Literature Search and Reference Organization: A structured literature search was performed in PubMed, Web of Science, and Scopus, covering publications from 2016 to 2026. Search strategies combined controlled vocabulary (e.g., MeSH terms: Cellular Reprogramming, Epigenomics, Alzheimer's Disease, Regenerative Medicine) with relevant free-text keywords, including “astrocyte-to-neuron conversion,” “epigenetic reprogramming,” “in situ neuroregeneration,” “neurological digital twins,” and “senotherapeutics.” Additional terms such as “neuro-immune microenvironment,” “senescence-associated secretory phenotype (SASP),” and “clinical trial” were included to capture studies with broader relevance to neurotherapeutics. Eligible records were limited to peer-reviewed articles, authoritative reviews, and clinical trial reports in English. Titles and abstracts were screened for relevance, followed by a full-text review of selected articles. Reference lists of key papers were examined to identify additional pertinent studies. All references were organized using reference management software and formatted in accordance with the target journal’s style requirements. Competing interests: The authors declare no competing interests. |
| References: | Zhang B, Yu X, Zhang X (2026) The evolving landscape of amyloid-targeting therapies in Alzheimer’s disease: progress and challenges. Neurol Sci 47:304. https://doi.org/10.1007/s10072-026-08893-w. (PMID: 10.1007/s10072-026-08893-w41760995) Alkhalifa AE et al (2025) Anti-amyloid monoclonal antibodies for Alzheimer’s disease: evidence, ARIA risk, and precision patient selection. J Pers Med 15(437):15. https://doi.org/10.3390/jpm15090437. (PMID: 10.3390/jpm15090437) Perna A et al (2023) Paradigm shift: multiple potential pathways to Neurodegenerative dementia. Neurotherapeutics. 20:1641–1652. https://doi.org/10.1007/s13311-023-01441-w. (PMID: 10.1007/s13311-023-01441-w3773320910684852) He G et al (2015) Stem cell therapy offers new hope for the treatment of Alzheimer’s disease. Front Cell Dev Biol. 13:1650885. https://doi.org/10.3389/fcell.2025.1650885. (PMID: 10.3389/fcell.2025.1650885) Rust R et al (2025) The blood-brain barrier: a help and a hindrance. Brain 148:2262–2282. https://doi.org/10.1093/brain/awaf068. (PMID: 10.1093/brain/awaf0683996954912233556) Liu Y et al (2024) In situ chemical reprogramming of astrocytes into neurons: a new hope for the treatment of central neurodegenerative diseases? Eur J Pharmacol 982:176930. https://doi.org/10.1016/j.ejphar.2024.176930. (PMID: 10.1016/j.ejphar.2024.17693039179093) Azevedo FA et al (2009) Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol 513:532–41. https://doi.org/10.1002/cne.21974. (PMID: 10.1002/cne.2197419226510) Wang LL et al (2021) Revisiting astrocyte to neuron conversion with lineage tracing in vivo. Cell 184:5465-5481.e16. https://doi.org/10.1016/j.cell.2021.09.005. (PMID: 10.1016/j.cell.2021.09.005345827878526404) McDowall S et al (2024) Controversies and insights into PTBP1-related astrocyte-neuron transdifferentiation: neuronal regeneration strategies for Parkinson’s and Alzheimer’s disease. Transl Neurodegener. 13:59. https://doi.org/10.1186/s40035-024-00450-9. Qin R et al (2026) The mechanisms and application prospects of astrocyte reprogramming into neurons in central nervous system diseases. Curr Neuropharmacol 24:58–73. https://doi.org/10.2174/011570159x379061250415094751. (PMID: 10.2174/011570159x3790612504150947514035341513054742) Cheng R et al (2024) DNA methylation in aging and Alzheimer’s disease. Hum Brain 3. https://doi.org/10.37819/hb.3.2027. Shen Z et al (2024) The neuro-inflammatory microenvironment: an important regulator of stem cell survival in Alzheimer’s disease. J Alzheimers Dis 98:741–754. https://doi.org/10.3233/jad-231159. (PMID: 10.3233/jad-23115938489182) Sun L, Chen C (2025) Senescence in aging and Alzheimer’s disease. Aging Dis. https://doi.org/10.14336/ad.2025.1201. Alkhammash A, Alotaibi G (2025) Epigenetic reprogramming as a therapeutic strategy for neurodegenerative diseases: a complex and novel approach. Eur J Pharmacol 1002:177853. https://doi.org/10.1016/j.ejphar.2025.177853. (PMID: 10.1016/j.ejphar.2025.17785340541595) Pereira M et al (2024) Restoring the epigenome in Alzheimer’s disease: advancing HDAC inhibitors as therapeutic agents. Drug Discov Today 29:104052. https://doi.org/10.1016/j.drudis.2024.104052. (PMID: 10.1016/j.drudis.2024.10405238830501) Pinheiro PSM et al (2015) Histone deacetylases in neurodegenerative diseases and their potential role as therapeutic targets: shedding light on astrocytes. Pharmaceuticals (Basel). 18. https://doi.org/10.3390/ph18101471. Șerban M, Toader C, Covache-Busuioc RA (2025) CRISPR and artificial intelligence in neuroregeneration: closed-loop strategies for precision medicine, spinal cord repair, and adaptive neuro-oncology. Int J Mol Sci. https://doi.org/10.3390/ijms26199409. (PMID: 10.3390/ijms261994094137365812692332) Bhati V, Prasad S, Kabra A (2025) RNA-based therapies for neurodegenerative disease: targeting molecular mechanisms for disease modification. Mol Cell Neurosci. 133:104010. https://doi.org/10.1016/j.mcn.2025.104010. (PMID: 10.1016/j.mcn.2025.10401040340000) Rust R et al (2025) The blood-brain barrier as a treatment target for neurodegenerative disorders. Expert Opin Drug Deliv 22:673–692. https://doi.org/10.1080/17425247.2025.2480654. (PMID: 10.1080/17425247.2025.248065440096820) Garbarino VR et al (2025) Evaluation of exploratory fluid biomarkers from a phase 1 senolytic trial in mild Alzheimer’s disease. Neurotherapeutics 22:e00591. https://doi.org/10.1016/j.neurot.2025.e00591. (PMID: 10.1016/j.neurot.2025.e005914027447112418413) Ng PY et al (2024) Senescence targeting methods impact Alzheimer’s disease features in 3xTg mice. J Alzheimers Dis 97:1751–1763. https://doi.org/10.3233/jad-230465. (PMID: 10.3233/jad-2304653830603010939718) Jiang H et al (2025) Start the engine of neuroregeneration: a mechanistic and strategic overview of direct astrocyte-to-neuron reprogramming. Ageing Res Rev 110:102808. https://doi.org/10.1016/j.arr.2025.102808. (PMID: 10.1016/j.arr.2025.10280840553977) Chen Y et al (2026) SGK1 inhibition supports neuroprotection in spinal cord injury by suppressing oxidative stress and AIM2 activation via FoxO1 mediated mitophagy. J Neuroinflammation. https://doi.org/10.1186/s12974-026-03844-w. (PMID: 10.1186/s12974-026-03844-w4246985513445803) Zhang J et al (2026) 3D-MSCs apoptotic bodies-integrated conductive hydrogel mitigates spinal cord injury via immunoregulation and alleviating neuronal pyroptosis. Bioact Mater 60:704–723. https://doi.org/10.1016/j.bioactmat.2026.01.043. (PMID: 10.1016/j.bioactmat.2026.01.0434170461812907102) Qiu M et al (2021) Lipid nanoparticle-mediated codelivery of Cas9 mRNA and single-guide RNA achieves liver-specific in vivo genome editing of Angptl3. Proc Natl Acad Sci U S A. https://doi.org/10.1073/pnas.2020401118. (PMID: 10.1073/pnas.2020401118349162898713768) Toader C et al (2024) Decoding neurodegeneration: a review of molecular mechanisms and therapeutic advances in Alzheimer’s, Parkinson’s, and ALS. Int J Mol Sci 25. https://doi.org/10.3390/ijms252312613. Linyi X et al (2026) CHBP-loaded mesoporous polydopamine nanoparticles attenuate neuroinflammation and reprogram microglia-neuron crosstalk for spinal cord injury repair. Chem Eng J 542:177692. https://doi.org/10.1016/j.cej.2026.177692. (PMID: 10.1016/j.cej.2026.177692) Constantino NJ, Ashley CC, Macauley SL (2025) The energetic collapse of the Alzheimer’s brain: metabolic inflexibility across cells and networks. J Neurochem 169:e70294. https://doi.org/10.1111/jnc.70294. (PMID: 10.1111/jnc.702944123143812614295) Pinky et al (2025) Aging and Alzheimer’s: the critical role of mitochondrial dysfunction and synaptic alterations. Front Synaptic Neurosci. 17:1676317. https://doi.org/10.3389/fnsyn.2025.1676317. Wang Y et al (2024) The role of cellular senescence in neurodegenerative diseases. Arch Toxicol. 98:2393–2408. https://doi.org/10.1007/s00204-024-03768-5. (PMID: 10.1007/s00204-024-03768-53874470911272704) Smith AM et al (2022) Diverse human astrocyte and microglial transcriptional responses to Alzheimer’s pathology. Acta Neuropathol 143:75–91. https://doi.org/10.1007/s00401-021-02372-6. (PMID: 10.1007/s00401-021-02372-634767070) Saliev T, Singh PB (2025) Senotherapeutics for brain aging management. Neurol Int. https://doi.org/10.3390/neurolint17120204. (PMID: 10.3390/neurolint171202044144122312736323) Jung ES, Choi H, Mook-Jung I (2025) Decoding microglial immunometabolism: a new frontier in Alzheimer’s disease research. Mol Neurodegener 20:37. https://doi.org/10.1186/s13024-025-00825-0. (PMID: 10.1186/s13024-025-00825-04014900111948825) Miao J et al (2023) Microglial metabolic reprogramming: emerging insights and therapeutic strategies in neurodegenerative diseases. Cell Mol Neurobiol 43:3191–3210. https://doi.org/10.1007/s10571-023-01376-y. (PMID: 10.1007/s10571-023-01376-y3734183311410021) Singh I, Singh AK (2025) Senolytics as modulators of critical signaling pathways: a promising strategy to combat brain aging and neurodegenerative disorders. Mol Neurobiol 63:261. https://doi.org/10.1007/s12035-025-05504-1. (PMID: 10.1007/s12035-025-05504-14135165812681496) Gopalakrishna PK et al (2026) The immuno-glial connectome in Alzheimer’s disease: integrating central and peripheral inflammatory networks. Cell Mol Neurobiol 46:31. https://doi.org/10.1007/s10571-026-01671-4. (PMID: 10.1007/s10571-026-01671-44156943612891327) Soni U, Pujari R (2026) Elucidating the molecular targets in Alzheimer’s disease: advances and therapeutic implications. Prog Neuropsychopharmacol Biol Psychiatry 146:111660. https://doi.org/10.1016/j.pnpbp.2026.111660. (PMID: 10.1016/j.pnpbp.2026.11166041796723) Ma YN et al (2025) Decoding Alzheimer’s disease: single-cell sequencing uncovers brain cell heterogeneity and pathogenesis. Mol Neurobiol 62:14459–14473. https://doi.org/10.1007/s12035-025-04997-0. (PMID: 10.1007/s12035-025-04997-04030496712511186) Zhao J, Huai J (2023) Role of primary aging hallmarks in Alzheimer´s disease. Theranostics 13:197–230. https://doi.org/10.7150/thno.79535. (PMID: 10.7150/thno.79535365939699800733) Pawar Y et al (2026) Epigenetic dysregulation in neurodegeneration: the role of histone deacetylases and emerging inhibitor strategies. Biomolecules 16. https://doi.org/10.3390/biom16010103. Mondal P et al (2024) Structure-based discovery of a small molecule inhibitor of histone deacetylase 6 (HDAC6) that significantly reduces Alzheimer’s disease neuropathology. Adv Sci (Weinh) 11:e2304545. https://doi.org/10.1002/advs.202304545. (PMID: 10.1002/advs.20230454537990786) Lin Y et al (2025) Neuroprotective mechanism of LincRNA in neurodegenerative diseases. Gene 967:149722. https://doi.org/10.1016/j.gene.2025.149722. (PMID: 10.1016/j.gene.2025.14972240816719) Nóbrega-Martins R et al (2025) RNA granules at the crossroads of synaptic dysfunction and neurodegeneration. J Neurochem 169:e70269. https://doi.org/10.1111/jnc.70269. (PMID: 10.1111/jnc.702694117071012576883) Hashemi M et al (2026) MicroRNAs and long non-coding RNAs affect the mechanisms involved in age-related neurodegeneration in a manner depending on RNA-binding proteins. Mol Neurobiol 63:343. https://doi.org/10.1007/s12035-025-05510-3. (PMID: 10.1007/s12035-025-05510-341493706) Singh R et al (2024) HAT and HDAC: enzyme with contradictory action in neurodegenerative diseases. Mol Neurobiol 61:9110–9124. https://doi.org/10.1007/s12035-024-04115-6. (PMID: 10.1007/s12035-024-04115-638587698) Mao S et al (2020) (2025) Activity and heterogeneity of astrocytes in neurological diseases: molecular mechanisms and therapeutic targets. MedComm 6:e70329. https://doi.org/10.1002/mco2.70329. (PMID: 10.1002/mco2.70329) Habib N et al (2020) Disease-associated astrocytes in Alzheimer’s disease and aging. Nat Neurosci 23:701–706. https://doi.org/10.1038/s41593-020-0624-8. (PMID: 10.1038/s41593-020-0624-8323415429262034) Sabaie H et al (2021) Molecular insight into the therapeutic potential of long non-coding RNA-associated competing endogenous RNA Axes in Alzheimer’s disease: a systematic scoping review. Front Aging Neurosci 13:742242. https://doi.org/10.3389/fnagi.2021.742242. (PMID: 10.3389/fnagi.2021.742242348992688656158) Jastrzębski MK et al (2024) Effects of small molecules on neurogenesis: neuronal proliferation and differentiation. Acta Pharm Sin B. 14:20–37. https://doi.org/10.1016/j.apsb.2023.10.007. (PMID: 10.1016/j.apsb.2023.10.00738239239) Preeti K, Sood A, Fernandes V (2022) Metabolic regulation of glia and their neuroinflammatory role in Alzheimer’s disease. Cell Mol Neurobiol 42:2527–2551. https://doi.org/10.1007/s10571-021-01147-7. (PMID: 10.1007/s10571-021-01147-734515874) Ceyzériat K et al (2024) Inhibition of the mitochondrial pyruvate carrier in astrocytes reduces amyloid and tau accumulation in the 3xTgAD mouse model of Alzheimer’s disease. Neurobiol Dis 200:106623. https://doi.org/10.1016/j.nbd.2024.106623. (PMID: 10.1016/j.nbd.2024.10662339103022) Ordureau A et al (2021) Temporal proteomics during neurogenesis reveals large-scale proteome and organelle remodeling via selective autophagy. Mol Cell 81:5082-5098.e11. https://doi.org/10.1016/j.molcel.2021.10.001. (PMID: 10.1016/j.molcel.2021.10.001346997468688335) McGill Percy KC, Liu Z, Qi X (2025) Mitochondrial dysfunction in Alzheimer’s disease: guiding the path to targeted therapies. Neurotherapeutics 22:e00525. https://doi.org/10.1016/j.neurot.2025.e00525. (PMID: 10.1016/j.neurot.2025.e005253982705212047401) Ren J et al (2024) Molecular mechanisms of mitochondrial homeostasis regulation in neurons and possible therapeutic approaches for Alzheimer’s disease. Heliyon 10:e36470. https://doi.org/10.1016/j.heliyon.2024.e36470. (PMID: 10.1016/j.heliyon.2024.e364703928151711401100) Jain S et al (2025) Harnessing metabolism to combat neurodegeneration: strategies for reversing age-related cognitive decline. ACS Pharmacol Transl Sci 8:2868–2886. https://doi.org/10.1021/acsptsci.5c00077. (PMID: 10.1021/acsptsci.5c000774096989112441866) Xiong X et al (2024) NAD(+)-boosting agent nicotinamide mononucleotide potently improves mitochondria stress response in Alzheimer’s disease via ATF4-dependent mitochondrial UPR. Cell Death Dis 15:744. https://doi.org/10.1038/s41419-024-07062-1. (PMID: 10.1038/s41419-024-07062-13939414811470026) Burns AP et al (2026) Excitation-inhibition homeostasis in Alzheimer’s disease: a selective multiscale review of mechanisms, sex differences, and therapeutic opportunities. Neuropsychopharmacology. https://doi.org/10.1038/s41386-026-02334-0. (PMID: 10.1038/s41386-026-02334-04155495713255118) Wernig M et al (2004) Functional integration of embryonic stem cell-derived neurons in vivo. J Neurosci 24:5258–68. https://doi.org/10.1523/jneurosci.0428-04.200. (PMID: 10.1523/jneurosci.0428-04.200151753966729190) Abbasian V et al (2025) Astroglial Kir4.1 and AQP4 channels: key regulators of potassium homeostasis and their implications in autism spectrum disorders. Cell Mol Neurobiol 45:56. https://doi.org/10.1007/s10571-025-01574-w. Altuna M et al (2022) Mechanisms involved in epileptogenesis in Alzheimer’s disease and their therapeutic implications. Int J Mol Sci. https://doi.org/10.3390/ijms23084307. (PMID: 10.3390/ijms23084307354571269030029) Ren Y, Pieper AA, Cheng F (2025) Utilization of precision medicine digital twins for drug discovery in Alzheimer’s disease. Neurotherapeutics 22:e00553. https://doi.org/10.1016/j.neurot.2025.e00553. (PMID: 10.1016/j.neurot.2025.e005533996599412047495) Wang Y et al (2024) TWIN-GPT : digital twins for clinical trials via large language model. ACM Trans Multimedia Comput Commun Appl. https://doi.org/10.1145/3674838. (PMID: 10.1145/3674838) Lee E et al (2022) A distinct astrocyte subtype in the aging mouse brain characterized by impaired protein homeostasis. Nat Aging 2:726–741. https://doi.org/10.1038/s43587-022-00257-1. (PMID: 10.1038/s43587-022-00257-137118130) Ben-Jaafar A et al (2026) Artificial intelligence-based biomarkers for the diagnosis and treatment of neurological conditions: a narrative review. Mol Brain. https://doi.org/10.1186/s13041-026-01287-1. (PMID: 10.1186/s13041-026-01287-14179484813081627) Vilalta A, Brown GC (2018) Neurophagy, the phagocytosis of live neurons and synapses by glia, contributes to brain development and disease. FEBS J 285:3566–3575. https://doi.org/10.1111/febs.14323. (PMID: 10.1111/febs.1432329125686) Herculano-Houzel S (2014) The glia/neuron ratio: how it varies uniformly across brain structures and species and what that means for brain physiology and evolution. Glia 62:1377–1391. https://doi.org/10.1002/glia.22683. (PMID: 10.1002/glia.2268324807023) Tsering W et al (2023) Transformation of non-neuritic into neuritic plaques during AD progression drives cortical spread of tau pathology via regenerative failure. Acta Neuropathol Commun 11:190. https://doi.org/10.1186/s40478-023-01688-6. (PMID: 10.1186/s40478-023-01688-63803714410691154) Kumamoto T, Tsurugizawa T (2021) Potential of multiscale astrocyte imaging for revealing mechanisms underlying neurodevelopmental disorders. Int J Mol Sci 22. https://doi.org/10.3390/ijms221910312. Guillaud L et al (2025) Loss of intracellular ATP affects axoplasmic viscosity and pathological protein aggregation in mammalian neurons. Sci Adv 11:eadq6077. https://doi.org/10.1126/sciadv.adq6077. Leist M et al (1997) Intracellular adenosine triphosphate (ATP) concentration: a switch in the decision between apoptosis and necrosis. J Exp Med 185:1481–6. https://doi.org/10.1084/jem.185.8.1481. (PMID: 10.1084/jem.185.8.148191269282196283) Tataru CP et al (2026) Designing neural dynamics: from Digital Twin modeling to regeneration. Int J Mol Sci 27:122. https://doi.org/10.3390/ijms27010122. (PMID: 10.3390/ijms27010122) Wang HE et al (2024) Virtual brain twins: from basic neuroscience to clinical use. Natl Sci Rev 11:nwae079. https://doi.org/10.1093/nsr/nwae079. Jia J et al (2024) Biomarker changes during 20 years preceding Alzheimer’s disease. N Engl J Med 390:712–722. https://doi.org/10.1056/NEJMoa2310168. (PMID: 10.1056/NEJMoa231016838381674) Jonson C et al (2024) Assessing the lack of diversity in genetics research across neurodegenerative diseases: a systematic review of the GWAS Catalog and literature. Alzheimers Dement 20:5740–5756. https://doi.org/10.1002/alz.13873. (PMID: 10.1002/alz.138733903074011350004) Gibbs D et al (2026) Exploring feature importance in machine learning for neuroimaging traits in Alzheimer’s disease across a multiethnic cohort. J Alzheimers Dis 110(4):1723–1740. https://doi.org/10.1177/13872877261426563. (PMID: 10.1177/1387287726142656341789863) Rezai AR et al (2024) Ultrasound blood-brain barrier opening and aducanumab in Alzheimer’s disease. N Engl J Med 390:55–62. https://doi.org/10.1056/NEJMoa2308719. (PMID: 10.1056/NEJMoa230871938169490) Muñoz-Castro C et al (2022) Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease. J Neuroinflammation 19:30. https://doi.org/10.1186/s12974-022-02383-4. (PMID: 10.1186/s12974-022-02383-4351098728808995) Miyoshi E et al (2024) Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer’s disease. Nat Genet 56:2704–2717. https://doi.org/10.1038/s41588-024-01961-x. (PMID: 10.1038/s41588-024-01961-x3957864511631771) Mottaqi M, Zhang P, Xie L (2025) Integrating explainable artificial intelligence with multiomics systems biology and electronic health record data mining for personalized drug repurposing in Alzheimer’s disease. Brief Bioinform. https://doi.org/10.1093/bib/bbaf623. (PMID: 10.1093/bib/bbaf6234131360312661941) Zhou H et al (2026) MuloAD: a multiomics integration model utilizing graph convolutional networks for Alzheimer’s disease diagnosis and biomarker identification. Eur J Neurosci 63:e70452. https://doi.org/10.1111/ejn.70452. (PMID: 10.1111/ejn.7045241782334) Zhang H et al (2025) M3NetFlow: a multi-scale multi-hop graph AI model for integrative multi-omic data analysis. iScience 28:111920. https://doi.org/10.1016/j.isci.2025.111920. (PMID: 10.1016/j.isci.2025.1119204003485511872513) Zhang S et al (2025) Single-cell multiomics reveals disrupted glial gene regulatory programs in Alzheimer’s disease via interpretable machine learning. bioRxiv. https://doi.org/10.1101/2025.03.14.643349. Gupta C et al (2022) Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease. PLoS Comput Biol 18:e1010287. https://doi.org/10.1371/journal.pcbi.1010287. (PMID: 10.1371/journal.pcbi.1010287358496189333448) Cheng Y et al (2026) Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning. Genome Med 18:10. https://doi.org/10.1186/s13073-025-01586-7. (PMID: 10.1186/s13073-025-01586-74158847712833949) Xie J, Tandon R, Mitchell CS (2025) Network diffusion-constrained variational generative models for investigating the molecular dynamics of brain connectomes under neurodegeneration. Int J Mol Sci 26. https://doi.org/10.3390/ijms26031062. Hussain MS et al (2025) Autophagy and cellular senescence in Alzheimer’s disease: key drivers of neurodegeneration. CNS Neurosci Ther 31:e70503. https://doi.org/10.1111/cns.70503. (PMID: 10.1111/cns.705034070275012287388) Kaur B et al (2026) Targeting CHI3L1 in Alzheimer’s disease: optimization of G721-0282 and functional evaluation in astrocyte models. bioRxiv. https://doi.org/10.64898/2026.01.13.699206. |
| Contributed Indexing: | Keywords: Alzheimer’s disease; Astrocyte-to-neuron conversion; Epigenomic editing; MRNA-lipid nanoparticles; Neurological Digital Twins; Senotherapeutics |
| Entry Date(s): | Date Created: 20260810 Date Completed: 20260810 Latest Revision: 20260810 |
| Update Code: | 20260810 |
| DOI: | 10.1007/s12035-026-06113-2 |
| PMID: | 42573852 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1559-1182 |
|---|---|
| DOI: | 10.1007/s12035-026-06113-2 |