bims-proned Biomed News
on Proteostasis in neurodegeneration
Issue of 2026–09–20
eight papers selected by
Verena Kohler, Umeå University



  1. Protein Sci. 2026 10;35(10): e70780
      In numerous neurodegenerative diseases known collectively as tauopathies, the microtubule-associated protein tau forms fibrillar aggregates that are hallmarks of disease pathology. Tauopathies represent a substantial fraction of diseases associated with protein misfolding. Cellular chaperones known as small heat shock proteins (sHSPs) play a critical role in maintaining protein homeostasis by delaying the onset of protein aggregation. Two sHSPs, HSPB1 (Hsp27) and HSPB5 (αB-crystallin), are constitutively expressed in the brain and neurons. Here, we show that HSPB1 and HSPB5 delay tau aggregation in vitro through distinct mechanisms dictated by their disordered N-terminal regions (NTRs). HSPB1 inhibits tau aggregation under normal cellular conditions, whereas HSPB5 displays activity toward tau when activated by stress conditions such as pH acidosis. Using chimeric HSPB1/HSPB5 constructs in which small NTR subregions are swapped, we identify functional regions within the NTRs that modulate chaperone function for tau. The functional regions contain known sites of phosphorylation, suggesting that they are also control points that respond to cellular stress conditions. Our findings support an emerging model in which specific functional motifs within disordered regions of sHSPs govern activity and client engagement under normal and stress conditions.
    Keywords:  HSPB1; HSPB5; Hsp27; chaperone; intrinsic disorder; protein aggregation; small heat shock proteins; tau aggregation; αB‐crystallin
    DOI:  https://doi.org/10.1002/pro.70780
  2. Mol Neurodegener Adv. 2026 ;2(1): 38
      Many neurodegenerative diseases are characterized by pathological protein aggregation in the brain. Alzheimer's disease displays amyloid-β and tau inclusions in the form of amyloid-β plaques and tau neurofibrillary tangles. Synucleinopathies comprise Parkinson's disease and Dementia with Lewy bodies, which are classified by α-synuclein depositions in the form of Lewy bodies, as well as multiple system atrophy, which displays glial cytoplasmic α-synuclein inclusions. Tar DNA binding protein 43 (TDP-43) inclusions are observed in amyotrophic lateral sclerosis and frontotemporal lobar dementia with TDP-43 inclusions. A separate subgroup of frontotemporal lobar dementias, including Pick's disease, progressive supranuclear palsy and corticobasal degeneration, are characterized by disease-specific patterns of tau pathology and are termed primary tauopathies. Despite these classifications, it is not often appreciated that neurodegenerative diseases commonly display amyloid-β, tau, α-synuclein, and/or TDP-43 co-pathologies not typically associated with that specific disease's pathophysiology. Additionally, in vitro and in vivo proteinopathy models show interactions between pathological forms of these proteins that increase protein aggregation and neurotoxicity, suggesting distinct mechanisms underlying co-pathologies that play a significant role in neurodegeneration. In this review, we describe the frequency of protein co-pathologies across neurodegenerative diseases and preclinical work demonstrating pathological protein synergies that exacerbate protein aggregation and toxicity. We also discuss granulovacuolar degeneration bodies, proteolytically active lysosomal structures that are induced by either pathological tau or α-synuclein accumulation, as an example of a shared cellular response to, and link between, distinct protein pathologies. Finally, we highlight interventional clinical trials which target multiple pathologies and/or specifically target co-pathologies in neurodegenerative diseases, noting that current preclinical and clinical research is limited and this line of investigation should be pursued more vigorously. In all, we find that protein co-pathologies are frequently observed in the brains of common neurodegenerative diseases and serve as important future therapeutic targets for combatting neurodegeneration across clinically distinct diseases.
    Graphical abstract:
    Keywords:  Alzheimer’s disease; Amyloid; Amyotrophic lateral sclerosis; Co-pathology; Granulovacuolar degeneration bodies; Lewy body disease; Synuclein; TDP-43; Tau; Tauopathy
    DOI:  https://doi.org/10.1186/s44477-026-00047-8
  3. Neurotox Res. 2026 Sep 12. pii: 53. [Epub ahead of print]44(5):
      Parkinson's disease is a complex neurodegenerative disorder that results from the interplay of genetic, environmental, and age-associated factors. The characteristic pathological feature of the disease is the presence of aggregated forms of the intrinsically disordered protein α-synuclein. Protein aggregates eventually form Lewy bodies, which are associated with the death of dopaminergic neurons. Elevated expression, mutations in the coding sequence, increased misfolding, and decreased degradation contribute to the aggregation of α-synuclein, associated with the disease. Mutations in the SNCA gene, which encodes α-synuclein, are predominantly associated with the familial form of the disease. The majority of the identified mutations are located in the N-terminal region of the protein and are associated with either early- or late-onset of the disease. Studies using model organisms, cell lines, and animal models identified several cellular effects associated with mutated forms of the protein. In addition, the clinical phenotypes of the disease in patients with different mutations vary in intensity. Interestingly, although each mutation is associated with the disease, the resulting α-synuclein aggregation rate and effect on cellular pathways are variable. In this review, we aim to summarize these interesting alterations in the protein and the associated pathophysiology of the disease following a single amino acid change.
    Keywords:  Aggregation; Mutation; Organelle; Parkinson’s disease; α-synuclein
    DOI:  https://doi.org/10.1007/s12640-026-00827-w
  4. Adv Sci (Weinh). 2026 Sep 16. e77822
      Tau aggregation is a central pathological feature of Alzheimer's disease, yet how different forms of tau-ranging from monomers to small soluble aggregates and mature fibrils-interact with the cellular environment remains poorly understood. Here, we combine immunoaffinity proteomics with single-molecule techniques and super-resolution microscopy to systematically map the tau interactome across defined aggregation states, spanning monomeric tau, nanoscopic soluble aggregates, and fibrillar species. Using post-mortem Alzheimer's disease brain tissue, we identify distinct functional modules associated with different aggregation states: while proteostasis factors and immune-related proteins preferentially associate with nanoscopic aggregates (oligomers), cytoskeletal, metabolic, and RNA-binding proteins are enriched for mature fibrillar tau. Single-molecule microscopy directly confirms this conformation-dependent recruitment for key interactors including Hsp70-2, ENO1, hnRNPA1, APP, EAAT4, and ubiquitin. A primary-neuron system with accelerated tau aggregation is used to model these findings in a controlled system, showing striking similarities to the brain samples. Finally, pseudotime analysis reconstructs a progressive remodelling of the tau interactome across disease progression, revealing stage-specific pathway vulnerabilities. Together, these results establish a temporally resolved framework for tau pathology shaped by protein interactions and identify potential therapeutic intervention points for investigation across stages of disease.
    Keywords:  Alzheimer's disease; Tau; interactome; proteomics; single‐molecule
    DOI:  https://doi.org/10.1002/advs.77822
  5. Cells. 2026 Sep 02. pii: 1596. [Epub ahead of print]15(17):
      RNA-binding proteins (RBPs) are a large class of proteins that form biological condensates to facilitate their functions. Chronic stress, such as occurs in neurodegenerative diseases, stimulates persistent accumulation of particular RBP condensates as part of the translational stress response, termed stress granules (SGs). These persistent SGs serve as a nidus for aggregation of RBPs to form pathologies that appear in neurodegenerative diseases, such as the occurrence of Tar DNA Binding Protein (TDP-43) in Amyotrophic Lateral Sclerosis. Many of the RBPs that accumulate in SGs are also associated with mutations that are linked to neurodegenerative diseases. The microtubule-associated protein tau is the major intracellular pathology that occurs in Alzheimer's disease. Tau is phosphorylated with stress, whereupon it functions to regulate SG biology; conversely, SGs serve as a crucible for the accumulation of toxic oligomeric tau. The regulation of stress by tau is an inherent part of biology that normally occurs during development and hibernation; however, with aging it becomes pathological, possibly because of the reduced proteostasis associated with aging.
    Keywords:  MAPT; RNA metabolism; TDP-43; biological condensate; liquid–liquid phase separation; membraneless organelle; oligomeric tau; protein aggregation; stress granule; translational stress response
    DOI:  https://doi.org/10.3390/cells15171596
  6. Amino Acids. 2026 Aug 30. pii: 48. [Epub ahead of print]58(1):
      Polyamine homeostasis is tightly regulated by interconversion and catabolic pathways and has been increasingly implicated in neurodegenerative disorders, including Parkinson's disease (PD), where accumulation of α-synuclein (α-Syn) perturbs neuronal homeostasis. Spermidine/spermine N¹-acetyltransferase 1 (SAT1) occupies a central position in polyamine interconversion, and alterations in SAT1 activity have been linked to α-Syn toxicity and PD-related neuropathology. To investigate how SAT1 activity influences α-Syn-associated neurodegeneration, we employed a Drosophila model of neuronal α-Syn expression. SAT1 overexpression reduced α-Syn protein levels, altered its subcellular distribution within the brain, and mitigated α-Syn-induced lifespan shortening. Transcriptomic analyses showed that SAT1 modulates stress-associated gene expression in the α-Syn background, including attenuation of chaperone and ubiquitin-related responses and coordinated changes in pathways linked to mitochondrial function and amino acid metabolism. SAT1 co-expression partially restored α-Syn-associated alterations in genes involved in mitochondrial quality control, including USP30, Uch-L5R, RNF185, and the mitochondrial ornithine carrier SLC25A15. At the protein level, SAT1 increased mitochondrial-associated signal, enhanced LC3 association with mitochondrial compartments, restored LC3-II/LC3-I ratios in mitochondrial fractions, and reduced mitochondrial accumulation of α-Syn. Functional analyses further showed that SAT1 increased steady-state ATP levels and attenuated the ATP depletion induced by α-Syn expression. These findings indicate that SAT1 activity is associated with reduced α-Syn toxicity and preservation of mitochondrial homeostasis during α-Syn-associated stress.
    Keywords:  Autophagy; Mitochondrial quality control; Neurodegeneration; Parkinson’s disease; Polyamine interconversion; RNA sequencing
    DOI:  https://doi.org/10.1007/s00726-026-03544-y
  7. Mol Neurodegener Adv. 2026 ;2(1): 37
      Autophagy-Lysosomal Pathway (ALP) dysfunction has emerged as a prominent mechanism underlying neurodegenerative disease. Given its central role in facilitating cellular clearance of misfolded proteins, damaged organelles and other cellular debris, the ALP is vital for cellular health and survival. In mature neurons, whose post-mitotic state renders them unable to dilute such materials through cell division, this waste removal pathway takes on an even greater importance. It is therefore unsurprising that ALP dysfunction is increasingly implicated in the context of age-associated neurodegenerative disease, where impaired proteostasis and pathological protein aggregation are common hallmarks. The focus of this review is how dysregulation of ALP-associated processes, including autophagic flux, chaperone-mediated autophagy, endolysosomal trafficking, lysosomal pH and ion balance, and lysosomal metabolic signaling, is implicated in both the pathogenesis and progression of neurodegenerative diseases, with an emphasis on Alzheimer's disease and Parkinson's disease. A more detailed understanding of how these processes, both independently and cooperatively, contribute to the development and progression of neurodegenerative disease will improve our understanding of these debilitating disorders and inform the development of ALP-targeted therapeutic strategies.
    Keywords:  Alzheimer’s disease; Autophagy; Lysosome; Neurodegeneration; Parkinson’s disease; Proteostasis
    DOI:  https://doi.org/10.1186/s44477-026-00041-0
  8. Adv Mater. 2026 Sep 16. e74985
      In-depth characterization of pathological protein aggregate with its subcomponents is pivotal for early diagnosis and staging of neurodegenerative disorders. Here, we introduce the Protein Aggregate NanoDynamics Analyzer (PANDA), a plasmonic nanotechnology-powered system that translates the supramolecular size distribution of protein aggregates into distinct scattering signatures via sterically constrained immunogold clustering. In this work, PANDA enabled the profiling of α-synuclein (α-syn) aggregates with diverse supramolecular architectures from human serum samples and experimentally revealed biological stage-dependent distribution patterns in Parkinson's disease (PD). Aggregate size profiles from PANDA readouts showed strong correlation with clinical scores (rmax = 0.6) and dopaminergic PET imaging (rmax = 0.7). Notably, it also confirmed the pathophysiological transition of "oligomer-to-fibril" in the course of PD progression. To leverage this transition, we incorporated a deep neural network (DNN) to classify PD stages. The network achieved high accuracy and enabled an objective reference to evaluate PD progression. PANDA system thus offers a noninvasive, artificial intelligence (AI)-augmented framework for molecular diagnosis and stratification of neurodegenerative diseases such as PD.
    Keywords:  artificial neural network; colloidal gold; computational biology; computer science; deep learning; plasmon; protein aggregation
    DOI:  https://doi.org/10.1002/adma.74985