Alzheimer’s Patient Microglia Exhibit Enhanced Aging and Unique Transcriptional Activation

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3. Microglial amyloid beta clearance is driven by PIEZO1 channels
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6. ApoE expression across the CNS: Who, What, Where, When, and How (much)?
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7. Microglial Regulation of Neural Networks in Neuropsychiatric Disorders
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8. A human pluripotent stem cell triculture platform to elucidate microglial regulation of retinal ganglion cells in neuroinflammation
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9. NETSseq reveals inflammatory and aging mechanisms in distinct cell types, driving cerebellar decline in ataxia telangiectasia
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11. Heterogeneity of Microglia in Ischemic Stroke from the Perspective of Single-Cell RNA Sequencing: Subset Characteristics, Mechanisms and Therapeutic Potential
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12. Targeting the microglial phosphatidylethanolamine synthesis pathway promotes GABARAP-associated phagocytosis and Aβ clearance in Alzheimer’s disease
    Seung Jae Hyeon, Seung Chan Kim, Jiyeon Chu, Yeonseo Kim, Chaebin Kim, Uiyeol Park, Zahid Tufail, Phuong Thi Nguyen, Ahreum Eom, Sojung Kim et al. · 2026 · Signal Transduction and Targeted Therapy
13. Glial cell transplant for brain diseases: the supportive saviours?
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14. A multi-ethnic proteomic profiling analysis in Alzheimer’s disease identifies the disparities in dysregulation of proteins and pathogenesis
    Mei Sze Tan, Phaik‐Leng Cheah, Ai‐Vyrn Chin, Lai‐Meng Looi, Siow‐Wee Chang · 2024 · PeerJ
15. Dendrobium nobile alkaloids modulate calcium dysregulation and neuroinflammation in Alzheimer's disease: A bioinformatic analysis
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16. Construction of a diagnostic model utilizing m7G regulatory factors for the characterization of diabetic nephropathy and the immune microenvironment
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17. Single-Cell Transcriptome Patterns of Transposable Elements in Alzheimer’s Disease
    Cali M. McEntee, Thomas J. LaRocca · 2025 · Molecular Neurobiology
18. Comparative Study of Synthetic Bulk RNA-Seq Generators
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19. Improved supervised prediction of aging-related genes via weighted dynamic network analysis
    Qi Li, Khalique Newaz, Tijana Milenković · 2020 · arXiv (Cornell University)
20. Gpnmb inhibits oligodendrocyte differentiation of adult neural stem cells by amplifying TGFβ1 signaling
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21. Whole-Cell Dissociated Suspension Analysis in Human Brain Neurodegenerative Disease: A Pilot Study
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22. 3D models of Alzheimer’s disease patient microglia recapitulate disease phenotype and show differential drug responses compared to 2D
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23. The human microglia responsome: a resource to better understand microglia states in health and disease
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24. AD-linked R47H- TREM2 mutation induces disease-enhancing proinflammatory microglial states in mice and humans
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25. Integration of genomic and transcriptomic layers in RNA‐Seq data leads to protein interaction modules with improved Alzheimer's disease associations
    Elif Düz, Atılay İlgün, Fatma Betül Bozkurt, Tunahan Çakır · 2024 · European Journal of Neuroscience
26. APOE, ABCA7 , and RASGEF1C are associated with earlier onset of amyloid deposition from more than 4000 harmonized positron emission tomography images
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27. Cross-disease analysis identifies the inflammatome as a transcriptional program of inflammation
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28. mRNA Translation and Proteasomal Degradation in Health and Neurological Disease
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29. Advances in hiPSC ‐Derived Brain Organoids as a Model to Study Neuroinflammation in Alzheimer's Disease
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30. PACells identifies phenotype-associated cell states from single-cell chromatin accessibility profiles
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31. Viral Mimicry of Alzheimer’s Disease: Innate Sensing of Self-Nucleic Acids as a Driver of Glial Senescence
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32. Microglia-driven neuroinflammation in ischemic stroke: insights from high altitude hypoxia
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33. Targeting microglia-mediated neuroinflammation in Alzheimer’s disease: mechanisms and therapeutic approaches
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34. Adapted Smart-seq3xpress Facilitates Selective Microglial Transcriptomic Profiling From Frozen Brain Tissue
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35. Disruption of the brain-spleen axis impairs monocyte-microglia communication and accelerates disease progression in a mouse model of amyloidosis
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36. The Cerebrospinal Fluid Proteome of Alzheimer’s Disease Patients: Differentiation and Prediction of Responders and Non-Responders to Lymphatic-Venous Anastomosis
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37. Predicting Relevant Microglia‐Associated Cell–Cell Communication Pathways in Alzheimer's Disease: A Role for SPP1
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38. Integrating Morphology and Gene Expression of Neural Cells in Unpaired Single-Cell Data Using GeoAdvAE
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39. Two different aging paths in human blood revealed by integrated analysis of gene Expression, mutation and alternative splicing
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40. New Insights into Microglia as Therapeutic Targets in Alzheimer’s Disease
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41. Transcriptional landscape of human microglia reveals robust gene expression signatures that implicates age, sex and APOE-related immunometabolic pathway perturbations
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42. TREM2 impacts brain microglia, oligodendrocytes and endothelial co-expression modules revealing genes and pathways important in Alzheimer’s disease
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43. Concomitant AD and DLB pathologies shape subfield microglia responses in the hippocampus
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44. Type I Interferon Signaling Drives Microglial Dysfunction and Senescence in Human iPSC Models of Down Syndrome and Alzheimer’s Disease
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45. Relative Contribution of Amyloid-β Plaque Associated and Plaque Distant Microglia to Alzheimer’S Disease (AD) Progression
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46. Heterogeneous complement and microglia activation mediates stress-induced synapse loss
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47. CSF proteomic analysis of semorinemab Ph2 trials in prodromal-to-mild (Tauriel) and mild-to-moderate (Lauriet) Alzheimer’s disease identifies distinct trial cell-type specific proteomic signatures
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48. Human induced pluripotent stem cell-derived microglia with a CX3CR1-V249I genetic variant exhibit dysfunctional phenotypes and modulate neuronal growth and function
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49. Labile iron overload reprograms microglia and neurons for lipid droplet synthesis in the aging brain
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50. Inflammation drives synucleinopathy propagation
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51. Microglia, TREM2, and Therapeutic Methods of Alzheimer’s Disease
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52. Relative Contribution of Amyloid-β Plaque Associated And Plaque Distant Microglia To Alzheimer’s Disease (AD) Progression
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53. Single-cell RNA transcriptome analysis reveals CXCL16/CXCR6 as maintenance factors for CNS tissue resident T cells that drive synapse elimination during viral recovery
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54. Transcriptional landscape of human microglia reveals robust gene expression signatures that implicates age, sex and APOE -related immunometabolic pathway perturbations
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55. Analysis of sex differential genes at whole genome level reveals their organ-and chromosome-dependent expressions, regulations, and interactions
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56. Transcriptome-guided optimization of in vitro culture conditions to study microglia in health and disease
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57. Integrative single-nucleus multi-omics analysis prioritizes candidate cis and trans regulatory networks and their target genes in Alzheimer’s disease brains
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58. Single-Cell Transcriptomics Analysis Reveals the Promotion of Mitochondrial Hyperactive Microglial Subpopulations by CSF1R following Stroke
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59. 25-hydroxycholesterol mediates brain cytokine production and neutrophil infiltration in a mouse model of lipopolysaccharide-induced neuroinflammation
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60. Additional file 4 of Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease
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61. Additional file 2 of Inflammasome activation under high cholesterol load triggers a protective microglial phenotype while promoting neuronal pyroptosis
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62. Additional file 2 of Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease
    Travis S. Johnson, Christina Y. Yu, Zhi Huang, Siwen Xu, Tongxin Wang, Chuanpeng Dong, Wei Shao, Mohammad Issam Abu Zaid, Xiaoqing Huang, Yijie Wang et al. · 2022 · Figshare
63. Additional file 5 of Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease
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64. Additional file 6 of Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease
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65. Additional file 3 of Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease
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66. Long-read transcriptomic identification of synaptic adaptation to amyloid pathology in the App NL-G-F knock-in mouse model of the earliest phase of Alzheimer’s disease
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67. Cytokine-induced reprogramming of human macrophages toward Alzheimer’s disease-relevant molecular and cellular phenotypes in vitro
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68. Brain Health for All? Influence of Glycemic Control and Neuropsychiatric Symptoms in Dementia with Lewy Bodies: A Case Report and Literature Review
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70. Changes in transcriptional regulation in the temporal lobe in patients with Alzheimer's disease
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71. Identification of lncRNAs differentially expressed in Alzheimer’s disease brains using RNA sequencing
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72. Sexual Dimorphism in Gene Expression: A Genome-Wide Study of Tissue and Chromosome Dependencies
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73. NETSseq Reveals Inflammatory and Aging Mechanisms in Distinct Cell Types Driving Cerebellar Decline in Ataxia Telangiectasia
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74. Sex-Stratified Transcriptomic Meta-Analysis of Alzheimer’s Disease Reveal Brain Region and Sex Specific Dysregulation
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75. Targeting Microglial Phagocytosis for Alzheimer's Disease Management: Natural, Pharmacological, Nanoparticle, and Gene Therapy Approaches
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76. PU.1-driven enrichment enables microglia profiling from frozen brain tissue using the high-throughput Smart-seq3xpress method
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77. Comparison of microglial cell population expansion in the Tg344-AD rat and APP SWE /PS1 ΔE9 mouse model of Alzheimer's disease
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78. Bezisterim-associated anti-inflammatory epigenetic modulation of age acceleration and Alzheimer’s disease genes
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79. Calorie Restriction Attenuates Transcriptional Aging Signatures in White Matter Oligodendrocytes and Immune Cells of the Monkey Brain
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80. Neurological aging and neurodegenerative disease in humans and great apes
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81. Additional file 1 of Improved supervised prediction of aging-related genes via weighted dynamic network analysis
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82. Additional file 3 of Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer’s disease and dementia with Lewy bodies
    Sonja Fixemer, Corrado Ameli, Gaël Paul Hammer, Luis Salamanca, Oihane Uriarte Huarte, Chantal Schwartz, Gérardy, Jean-Jacques, Naguib Mechawar, Alexander Skupin, Mittelbronn, Michel et al. · 2022 · Figshare
83. Additional file 17 of Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia
    Dan Xia, Lianoglou, Steve, Thomas Sandmann, Meredith Calvert, Jung H. Suh, Elliot R. Thomsen, Jason C. Dugas, Michelle E. Pizzo, Sarah L. DeVos, Timothy Earr et al. · 2022 · Figshare
84. Additional file 1 of Preclinical translational platform of neuroinflammatory disease biology relevant to neurodegenerative disease
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85. Additional file 1 of ATP-evoked intracellular Ca2+ transients shape the ionic permeability of human microglia from epileptic temporal cortex
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86. Additional file 1 of Microglial amyloid beta clearance is driven by PIEZO1 channels
    Henna Jäntti, Valeriia Sitnikova, Yevheniia Ishchenko, Anastasia Shakirzyanova, Luca Giudice, Ugidos, Irene F., Mireia Gómez‐Budia, Nea Korvenlaita, Sohvi Ohtonen, Irina Belaya et al. · 2022 · Figshare
87. Additional file 1 of Integrative single-nucleus multi-omics analysis prioritizes candidate cis and trans regulatory networks and their target genes in Alzheimer’s disease brains
    Julia Gamache, Daniel C. Gingerich, Elliot Keats Shwab, Julio Barrera, Melanie E. Garrett, Cordelia Hume, Crawford, Gregory E., Allison E. Ashley‐Koch, Ornit Chiba‐Falek · 2024 · Figshare
88. Additional file 7 of Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer’s disease and dementia with Lewy bodies
    Sonja Fixemer, Corrado Ameli, Gaël Paul Hammer, Luis Salamanca, Oihane Uriarte Huarte, Chantal Schwartz, Gérardy, Jean-Jacques, Naguib Mechawar, Alexander Skupin, Mittelbronn, Michel et al. · 2022 · Figshare
89. Additional file 4 of Disease and brain region specific immune response profiles in neurodegenerative diseases with pure and mixed protein pathologies
    Tim Bathe, Gabriela P. Hery, Jonathan Anthony B. Villareal, Phillips, Jennifer L., Cohen, Eric M., Rohan V. Sharma, Wangchen Tsering, Stefan Prokop · 2024 · Figshare
90. Additional file 2 of Preclinical translational platform of neuroinflammatory disease biology relevant to neurodegenerative disease
    Kelley C. Larson, Lauren Herl Martens, Marconi, Michael, Christopher Dejesus, Suzanne Bruhn, Thomas A. Miller, Barbara A. Tate, Jonathan M. Levenson · 2024 · Figshare
91. Additional file 10 of Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia
    Dan Xia, Lianoglou, Steve, Thomas Sandmann, Meredith Calvert, Jung H. Suh, Elliot R. Thomsen, Jason C. Dugas, Michelle E. Pizzo, Sarah L. DeVos, Timothy Earr et al. · 2022 · Figshare
92. Additional file 1 of Association of peripheral blood DNA methylation level with Alzheimer’s disease progression
    Li, Qingqin S., Aparna Vasanthakumar, J. Wade Davis, Kenneth B. Idler, Kwangsik T. Nho, Waring, Jeffrey F., Andrew J. Saykin · 2021 · Figshare
93. Additional file 2 of Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer’s disease and dementia with Lewy bodies
    Sonja Fixemer, Corrado Ameli, Gaël Paul Hammer, Luis Salamanca, Oihane Uriarte Huarte, Chantal Schwartz, Gérardy, Jean-Jacques, Naguib Mechawar, Alexander Skupin, Mittelbronn, Michel et al. · 2022 · Figshare
94. Additional file 2 of Disease and brain region specific immune response profiles in neurodegenerative diseases with pure and mixed protein pathologies
    Tim Bathe, Gabriela P. Hery, Jonathan Anthony B. Villareal, Phillips, Jennifer L., Cohen, Eric M., Rohan V. Sharma, Wangchen Tsering, Stefan Prokop · 2024 · Figshare
95. Additional file 8 of Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer’s disease and dementia with Lewy bodies
    Sonja Fixemer, Corrado Ameli, Gaël Paul Hammer, Luis Salamanca, Oihane Uriarte Huarte, Chantal Schwartz, Gérardy, Jean-Jacques, Naguib Mechawar, Alexander Skupin, Mittelbronn, Michel et al. · 2022 · Figshare
96. Additional file 6 of Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer’s disease and dementia with Lewy bodies
    Sonja Fixemer, Corrado Ameli, Gaël Paul Hammer, Luis Salamanca, Oihane Uriarte Huarte, Chantal Schwartz, Gérardy, Jean-Jacques, Naguib Mechawar, Alexander Skupin, Mittelbronn, Michel et al. · 2022 · Figshare
97. Additional file 4 of Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer’s disease and dementia with Lewy bodies
    Sonja Fixemer, Corrado Ameli, Gaël Paul Hammer, Luis Salamanca, Oihane Uriarte Huarte, Chantal Schwartz, Gérardy, Jean-Jacques, Naguib Mechawar, Alexander Skupin, Mittelbronn, Michel et al. · 2022 · Figshare
98. Additional file 3 of Disease and brain region specific immune response profiles in neurodegenerative diseases with pure and mixed protein pathologies
    Tim Bathe, Gabriela P. Hery, Jonathan Anthony B. Villareal, Phillips, Jennifer L., Cohen, Eric M., Rohan V. Sharma, Wangchen Tsering, Stefan Prokop · 2024 · Figshare
99. Additional file 3 of Preclinical translational platform of neuroinflammatory disease biology relevant to neurodegenerative disease
    Kelley C. Larson, Lauren Herl Martens, Marconi, Michael, Christopher Dejesus, Suzanne Bruhn, Thomas A. Miller, Barbara A. Tate, Jonathan M. Levenson · 2024 · Figshare
100. Additional file 9 of Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia
     Dan Xia, Lianoglou, Steve, Thomas Sandmann, Meredith Calvert, Jung H. Suh, Elliot R. Thomsen, Jason C. Dugas, Michelle E. Pizzo, Sarah L. DeVos, Timothy Earr et al. · 2022 · Figshare