Alzheimer’s disease (AD) is a neurodegenerative disorder defined not only by amyloid-β plaques and tau pathology but also by several interacting processes that drive disease progression. These include neuroinflammation, neuronal cell death, synaptic dysfunction, blood–brain barrier (BBB) breakdown, and myelin and axonal damage. Together, they lead to neuronal loss and cognitive decline. In this review, we present a cell-centered framework linking these processes with key molecular markers. Neuroinflammation is driven by activated microglia and astrocytes and is associated with markers such as Iba1, CD68, GFAP, and C3, along with cytokines including IL-1β and TNF-α. Neuronal cell death occurs through apoptosis, ferroptosis, pyroptosis, and necroptosis, with markers such as caspase-3, GPX4, GSDMD, and MLKL. Synaptic dysfunction is reflected by reduced synaptic proteins, including synaptophysin and PSD-95. BBB breakdown increases permeability and reduces clearance of toxic molecules. Myelin and axonal damage, associated with MBP and NfL, disrupt neural connectivity. These processes are dynamically interconnected and may contribute differently across disease stages. This integrated cell-centered and systems-level framework provides insight into AD progression while highlighting potential biomarkers and therapeutic targets for diagnosis, disease monitoring, and therapeutic intervention.

Background/Objectives: Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide. Despite advances in treatment, outcomes for advanced CRC remain unsatisfactory due to uncontrolled proliferation, metastasis, and recurrence. This study investigated the anti-cancer effects of KMU-11342, an indolin-2-one-based multi-protein kinase inhibitor with previously reported anti-inflammatory properties, in human colorectal cancer models. Methods: The anti-cancer effects of KMU-11342 were evaluated in colorectal cancer cells and further investigated in three-dimensional (3D) spheroid and patient-derived organoid models. Cell proliferation, migration, apoptosis, and cell cycle progression were assessed. Kinase activity profiling and molecular docking analyses were performed to identify potential targets and characterize the underlying signaling pathways. Results: KMU-11342 significantly inhibited the proliferation and migration of CRC cells. It reduced CRC cell density by 58.9% and 83.3% at 0.5 and 1 μM, respectively. These effects were accompanied by G2/M cell cycle arrest and apoptotic cell death. In 3D models, spheroid formation was markedly reduced and stemness-related characteristics were diminished. Patient-derived CRC organoids also showed decreased viability, exhibiting 38.6% and 77.4% reductions at 1 and 2 μM, respectively. These effects were observed in a dose-dependent manner in both two-dimensional (2D) and 3D colorectal cancer models. Kinase activity profiling and molecular docking analyses identified glycogen synthase kinase 3 beta (GSK3β) and cyclin-dependent kinase 1 (CDK1) as potential mediators of the anti-cancer effects of KMU-11342 through the p53/nuclear factor kappa B (NF-κB) and FoxO1 signaling axes, respectively. Conclusions: KMU-11342 exhibits potent anti-tumor activity against CRC through suppressing proliferation, migration, and stemness in both 2D and 3D models, including patient-derived organoids. Its effects may be mediated, at least in part, through modulation of GSK3β and CDK1 via the p53/NF-κB and FoxO1 signaling pathways.

Colorectal cancer (CRC) remains a major cause of cancer-related morbidity and mortality worldwide. Metabolic disorders such as obesity, diabetes mellitus, dyslipidemia, and metabolic syndrome are associated with CRC risk. Metabolic abnormalities may contribute to colorectal tumorigenesis and reshape the tumor immune microenvironment, which in turn influence immune dysfunction and therapeutic resistance. Exhausted CD8⁺ T cells exhibit impaired effector function, sustained inhibitory receptor expression, and transcriptional and epigenetic reprogramming. Metabolic stressors within the CRC microenvironment may modulate T-cell function and exhaustion-associated states. Additionally, other immune populations (natural killer cells, macrophages, myeloid-derived suppressor cells, dendritic cells, and regulatory T cells) may develop distinct dysfunctional or immunosuppressive states. Recent single-cell and spatial studies have indicated the heterogeneity of these immunometabolic interactions in CRC. This review examines the interactions of the systemic and tumor-associated metabolic alterations with T-cell exhaustion and other forms of immune dysfunction in CRC. We discuss the influence of glucose, lipid, amino acid, and mitochondrial metabolism, hypoxia, microbiota-derived metabolites, and chronic inflammation in shaping tumor–immune interactions. Finally, we reviewed therapeutic strategies targeting immunometabolic pathways and their potential integration with immune checkpoint blockade. Overall, understanding these interactions may help identify immunometabolic vulnerabilities for informing precise therapeutic strategies for CRC.