Jun 2026· Biomolecules· Vol 16· 0 citations· 154 references
Medicine
TL;DR
This study redefines neurodegeneration as a disorder of system-level failure by emphasizing poor cellular stress integration and explores progress in fluid, digital, and imaging biomarkers that facilitate early diagnosis and patient stratification, and assesses new disease-modifying approaches such as antisense oligonucleotides, immunomodulators, gene therapies, and small-molecular agents.
Abstract
The most persistent biomedical challenges of the 21st century are neurodegenerative disorders (NDs), where molecular alterations lead to devastating clinical consequences and progressive neuronal loss. The prevalence of neurodegeneration is continuously rising and becoming the main contributor to chronic disability and mortality. Despite their clinical differences, many conditions share pathogenic processes, including oxidative stress, protein misfolding and aggregation, mitochondrial dysfunction, and neuroinflammation. Instead of functioning independently, these processes cooperate to form a self-reinforcing network that gradually weakens synapses and ultimately leads to neuronal death. This study redefines neurodegeneration as a disorder of system-level failure by emphasizing poor cellular stress integration. In addition to demonstrating how gut microbiome gene networks impact inflammation and amyloid production, new research highlights the relationships between mitochondrial–lysosomal interactions, endoplasmic reticulum stress responses, and transcriptionally driven synaptic vulnerability. A key molecular topic is the interaction and pathogenic convergence of the JAK/STAT, HIF-1α, and Notch signaling pathways. Under ongoing metabolic stress, prolonged stimulation of this triad increases inflammation, hinders the regenerative processes, and maintains pseudo-hypoxic conditions, explaining why single-target treatments have mostly been unsuccessful. This review also explores progress in fluid, digital, and imaging biomarkers that facilitate early diagnosis and patient stratification, and assesses new disease-modifying approaches such as antisense oligonucleotides, immunomodulators, gene therapies, and small-molecular agents. Artificial intelligence is emphasized as an essential tool for integrating multimodal data, drug discovery and predictive modeling.
Neurodegenerative diseases are a heterogeneous group of chronic and progressive disorders, which are characterized by selective neuronal destruction, synaptic malfunction and progressive cognitive and locomotor dysfunction. The major ones are Alzheimer disease, Parkinson disease, Huntington disease, and amyotrophic lateral sclerosis which are a formidable and growing global health and socio-economic burden mainly due to demographic aging. Even despite the advances in the symptomatic treatment, predominantly through the cholinergic, dopaminergic, glutamatergic, and GABAergic system, the current treatment regimens are not able to stop the underlying neurodegenerative events or reverse them. There is mounting evidence that convergent pathogenic mechanisms, such as protein misfolding and aggregation, oxidative stress, mitochondrial dysfunction, impaired autophagy-lysosomal pathways, synaptic dysfunction, and chronic neuroinflammation, are convergent mechanisms. These convergent molecular and cellular cascades provide a strong rationale behind the identification of new neuropharmacological targets, which include: kinases, phosphatases, epigenetic regulators, neurotrophic signalling pathways and neuroimmune mediators. Advances in the biomarker discovery, genomics and systems biology have further enabled the use of precision based therapeutic stratification and early-intervention approaches. Genetic, nanotechnology, and RNA-based therapeutics as well as biologics are reconfiguring translational models in neurodegeneration. A mechanism-based, multi-target, precision neuropharmacological approach, as a group, has significant potential in achieving long-term neuroprotection, improved clinical and disease modification in neurodegenerative diseases.
Neurodegenerative diseases are progressive disorders that involve the loss and dysfunction of neurons. Alzheimer's disease, Parkinson's disease, Amyotrophic lateral sclerosis, Huntington's disease, Frontotemporal dementia are examples of diseases. While different clinically, these disorders have a common genetic, molecular and cellular basis. This review examines the common genetic pathways, along with the interactions between genes of major neurodegenerative diseases, with a focus on the key genes, such as APOE, SNCA, MAPT, TARDBP, LRRK2 and HTT. The common pathogenic mechanisms considered to play a major role in disease progression include protein misfolding and aggregation, mitochondrial dysfunction, oxidative stress, neuroinflammation, diminished autophagy, and impaired lysosomal function, as well as synaptic degeneration. The review also emphasizes the role of systems biology strategies, such as genome-wide association studies, transcriptomics, proteomics, metabolomics, interactome analysis, and multi-omics integration, to unveiling complex molecular networks in neurodegeneration. Furthermore, the emerging biomarker strategies and therapeutic strategies targeting convergence signaling pathways including NF-κB, PI3K-Akt-mTOR, MAPK and Wnt/β-catenin are summarized. The common genetic basis and the cross-connecting molecular mechanisms of the various neurodegenerative diseases could help in the discovery of new biomarkers and pan-therapeutic targets. Further advances in molecular genetics, computational biology and precision medicine are needed to enhance early detection and the creation of effective disease-modifying treatments.
P. Pattnaik, S. Prusty, Sanghamitra Pati et al.· Gene· 0 citations
Neurodegenerative diseases (NDDs) are a major public health concern characterized by the progressive loss of neurons, ultimately leading to neuronal death and causing a sustained decline in brain function or physical motor abilities. Major examples include Alzheimer’s disease (AD) and Parkinson’s disease (PD). Currently, NDDs lack effective curative methods, and their pathological process primarily involves misfolded protein aggregation, oxidative stress, and neuroinflammation. The Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling pathway, as a central hub for cytokine signaling, has recently been found to play a key role in neuroinflammation and immune regulation in NDDs. This review systematically elucidates the core mechanisms of the JAK/STAT pathway in NDDs, including the regulation of microglial and astrocytic reactivity, the impact on blood–brain barrier integrity, and involvement in energy metabolism abnormalities. On this basis, we have reviewed and evaluated various therapeutic strategies targeting this pathway, focusing on small-molecule JAK inhibitors such as baricitinib and tofacitinib, and have analyzed their mechanisms of action, preclinical efficacy, and potential side effects. In addition, this article provides a forward-looking perspective on the future research directions of the JAK/STAT pathway from the perspective of anti-neuroinflammation to promote neuroregeneration therapy, aiming to offer theoretical references and new ideas for the clinical translational research of this pathway.
Hai-Xia Yang, Bowei Su, Ya-Nan Bao et al.· Frontiers in Aging Neuroscie...· 0 citations
Neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) are increasingly recognized as manifestations of aging-associated systemic dysfunction, rather than isolated brain disorders. Central to this dysfunction is the interplay among metaflammation, mitochondrial breakdown, and chronic neuroinflammation. Metaflammation, driven by peripheral metabolic stress, may prime the brain's immune environment through cytokine signaling and blood-brain barrier compromise. This metabolic-inflammatory crosstalk is thought to impair mitochondrial integrity in neurons and glial cells, promoting oxidative stress and the release of pro-inflammatory mitochondrial components. These mitochondrial signals, in turn, may activate microglial and astrocytic innate immune responses, creating a potentially self-reinforcing cycle of neuroinflammation and energy failure that may contribute to neuronal loss. This review outlines a proposed framework linking metaflammation to neurodegeneration, emphasizing shared mechanisms across AD, PD, and ALS. We further examine preclinical and clinical advances in therapeutic strategies that target this axis including anti-inflammatory agents, caloric restriction, mitophagy enhancers, mitochondrial antioxidants, and senescence-targeted therapies. Together, these interventions reflect a shift from symptom management to systemic metabolic and immune modulation, offering a unified framework for understanding and potentially influencing age-related neurodegeneration.