Biology subjects

Na, C. H.

Publications and source records attributed to Na, C. H..

9 recordsLinked to original sources

bioRxiv2026

Reactive Astrocytes Drive Extracellular Acidification to Mediate α-Synuclein Neurodegeneration

Astrocytes are increasingly recognized as key players in neurodegeneration1-3, yet the molecular mechanisms by which they drive disease remain elusive. Here, we uncover a fundamental pathway in which reactive astrocytes fuel neurodegeneration in -synucleinopathies--including Dementia with Lewy bodies and Parkinsons disease dementia--by acidifying the brains extracellular environment. We demonstrate that both human patient tissue and a gut-to-brain -synuclein mouse model exhibit accumulation of reactive astrocytes and extracellular acidosis. Mechanistically, we show that astrocytic lysosomal exocytosis releases acidic contents, driving a drop in pH that activates neuronal acid-sensing ion channel 1a (ASIC1a), resulting in neuronal loss and behavioral decline. Blocking this pathway--either by inhibiting astrocytic lysosomal exocytosis or genetically or pharmacologically targeting neuronal ASIC1a--mitigates pathology and rescues neurodegenerative phenotypes in vivo. These findings provide a conceptual advance by establishing a mechanistic link between glial inflammation, acid-base homeostasis, and neuronal vulnerability, and suggest that targeting astrocyte-driven acidification or ASIC1a signaling could offer new avenues for disease modification in -synucleinopathies.

neuroscience↗

bioRxiv2025

Extracellular Vesicles from Multiple Sclerosis White Matter Exhibit Synaptic, Mitochondrial, Complement, and Aging-related Pathway Dysregulation

Extracellular vesicles (EVs) are increasingly recognized as mediators of central nervous system (CNS) function and pathologies, including multiple sclerosis (MS). While plasma-derived EVs have been explored as biomarkers in MS, little is known about EVs in CNS tissue. Here, we characterize EVs from postmortem white matter (WM) of MS and control brains. EVs were separated by differential centrifugation followed by size exclusion chromatography and characterized using nanoflow cytometry, single-particle reflectance imaging sensing (SP-IRIS), and transmission electron microscopy. EV size, yield, and morphology did not differ significantly between MS and control samples. Proteomic analyses revealed downregulation of synaptic and mitochondrial proteins and upregulation of complement and inflammatory proteins and pathways in MS WM EVs. This suggests that EVs reflect ongoing synaptic pathology, metabolic dysfunction, and CNS-compartmentalized inflammation and that they may actively contribute to these pathological processes. Deconvolution analyses suggests a shift in EV cellular origin, with an increased astrocytic and decreased neuronal EV contributions in MS. Several proteomic changes we observed in CNS-derived EVs have also been reported in circulating EVs of people with MS, establishing this CNS tissue EV study as a valuable resource for identifying biomarker candidates for brain-derived plasma EV studies. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/657509v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@1f88da5org.highwire.dtl.DTLVardef@11b7ee9org.highwire.dtl.DTLVardef@291d9forg.highwire.dtl.DTLVardef@157cb73_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

TRIM24 directs replicative stress responses to maintain ALT telomeres via chromatin signaling

An inability to replicate the genome can cause replication stress and genome instability. Here, we develop BLOCK-ID, a proteomic method to identify and visualize proteins at stressed replication forks. This approach successfully identified novel mediators of the replication stress response, including the chromatin acetylation reader protein TRIM24. In validating TRIM24 function, we uncovered its crucial role in coordinating Alternative Lengthening of Telomeres (ALT), a cancer-specific telomere extension pathway involving replication stress. Our data reveal that TRIM24 is directed to telomeres via a p300/CBP-dependent acetylation chromatin signaling cascade, where it organizes ALT-associated PML bodies (APBs) to promote telomere DNA synthesis. Strikingly, we demonstrate that when artificially tethered at telomeres, TRIM24 can stimulate new telomere DNA synthesis in a SUMO-dependent manner, independently of p300/CBP or PML-dependent APBs. Thus, this study identifies a TRIM24 chromatin signaling pathway required for ALT telomere maintenance.

cell biology↗

bioRxiv2023

Development of an in situ cell-type specific proteome analysis method using antibody-mediated biotinylation

Since proteins are essential molecules exerting cellular functions, decoding proteome changes is the key to understanding the normal physiology and pathogenesis mechanism of various diseases. However, conventional proteomic studies are often conducted on tissue lumps, in which multiple cell types are entangled, presenting challenges in interpreting the biological dynamics among diverse cell types. While recent cell-specific proteome analysis techniques, like BONCAT, TurboID, and APEX, have emerged, their necessity for genetic modifications limits their usage. The alternative, laser capture microdissection (LCM), although it does not require genetic alterations, is labor-intensive, time-consuming, and requires specialized expertise, making it less suitable for large-scale studies. In this study, we develop the method for in situ cell-type specific proteome analysis using antibody-mediated biotinylation (iCAB), in which we combined immunohistochemistry (IHC) with the biotin-tyramide signal amplification approach. Poly-horseradish peroxidase (HRP) conjugated to the secondary antibody will be localized at a target cell type via a primary antibody specific to the target cell type and biotin-tyramide activated by HRP will biotinylate the nearby proteins. Therefore, the iCAB method can be applied to any tissues that can be used for IHC. As a proof-of-concept, we employed iCAB for mouse brain tissue enriching proteins for neuronal cell bodies, astrocytes, and microglia, followed by identifying the enriched proteins using 16-plex TMT-based proteomics. In total, we identified [~]8,400 and [~]6,200 proteins from enriched and non-enriched samples. Most proteins from the enriched samples showed differential expressions when we compared different cell type data, while there were no differentially expressed proteins from non-enriched samples. The cell type enrichment analysis with the increased proteins in respective cell types using Azimuth showed that neuronal cell bodies, astrocytes, and microglia data exhibited Glutamatergic Neuron, Astrocyte and Microglia/Perivascular Macrophage as the representative cell types, respectively. The proteome data of the enriched proteins showed similar subcellular distribution as non-enriched proteins, indicating that the iCAB-proteome is not biased toward any subcellular compartment. To our best knowledge, this study represents the first implementation of a cell-type-specific proteome analysis method using an antibody-mediated biotinylation approach. This development paves the way for the routine and widespread use of cell-type-specific proteome analysis. Ultimately, this could accelerate our understanding of biological and pathological phenomena.

systems biology↗

bioRxiv2022

A TMT-based quantitative proteomics approach toward α-syn PFF associated Lewy Body Dementia (LBD) using α-syn PFF-injected mouse brain tissues

The aggregation of -synuclein in the nervous system leads to a class of neurodegenerative disorders termed -synucleinopathies. A form of primary degenerative dementia called Lewy body dementia (LBD) often develops in the case these aggregations develop into intracellular inclusions called Lewy bodies (LB) and Lewy neurites (LN). Despite the high frequency of LBD, being the leading cause of dementia following Alzheimers disease (AD), there is relatively little information discovered about its pathological pathway or diagnostic criteria. In this report, we attempt to address such shortcomings via utilizing a proteomic approach to identify the proteomic changes following intrastriatal injection of -synuclein preformed fibril (-syn PFF). Through mass spectrometry, we have identified a total of 179 proteins that were either up- or down-regulated at different time points, with the four proteins - TPP3, RAB10, CAMK2A, and DYNLL1 - displaying the most significant changes throughout the timeframe. Further examining the modulated proteins with network-based enrichment analyses, we have found that 1) the most significantly associated neurodegenerative pathways were Parkinsons (pV = 3.0e-16) and Huntingtons (pV = 1.9e-15) disease, and 2) the majority of molecular functions specific to the pathology only appeared at later time points. While these results do not expose a conclusive biomarker for LBD, they suggest a potential framework that may be utilized to diagnose and differentiate LBD pathology from other forms of dementia by focusing on the cortical proteomic changes which occur in a later time span.

cell biology↗

bioRxiv2022

Intracellular Energy Controls Dynamics of Stress-induced Ribonucleoprotein Granules

Energy metabolism and membraneless organelles have been implicated in human diseases including neurodegeneration. How energy stress regulates ribonucleoprotein particles such as stress granules (SGs) is still unclear. Here we identified a unique type of granules formed under energy stress and uncovered the mechanisms by which the dynamics of diverse stress-induced granules are regulated. Severe energy stress induced the rapid formation of energy-associated stress granules (eSGs), whereas moderate energy stress delayed the clearance of conventional SGs. The formation of eSGs or the clearance of conventional SGs was regulated by the mTOR-4EBP1-eIF4E pathway or eIF4A1, involving eIF4F complex assembly or RNA condensation, respectively. In ALS patients neurons or cortical organoids, the eSG formation was enhanced, and conventional SG clearance was impaired. These results reveal a critical role for intracellular energy in the regulation of diverse granules and suggest that an imbalance in these dynamics may contribute to the pathogenesis of relevant diseases.

neuroscience↗

bioRxiv2021

NAD metabolism modulates mitochondrial function and inflammation and prevents progression of diabetic kidney disease

Diabetes mellitus is the leading cause of cardiovascular and renal disease in the United States. In spite of the beneficial interventions available for patients with diabetes, there remains a need for additional therapeutic targets and therapies in diabetic kidney disease (DKD). Inflammation and oxidative stress are increasingly recognized as important causes of renal diseases. Inflammation is closely associated with mitochondrial damage. The molecular connection between inflammation and mitochondrial metabolism remains to be elucidated. Recently, nicotinamide adenine nucleotide (NAD+) metabolism has been found to regulate immune function and inflammation. In the present studies we tested the hypothesis that enhancing NAD metabolism could prevent inflammation in and progression of DKD. We found that treatment of db/db mice with type 2 diabetes with nicotinamide riboside (NR) prevented several manifestations of kidney dysfunction (i.e., albuminuria, increased urinary kidney injury marker-1 (KIM1) excretion and pathologic changes). These effects were associated with decreased inflammation, at least in part via inhibiting the activation of the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) signaling pathway. An antagonist of the serum stimulator of interferon genes (STING) and whole-body STING deletion in diabetic mice showed similar renoprotection. Further analysis found that NR increased SIRT3 activity and improved mitochondrial function, which led to decreased mitochondrial DNA damage, a trigger for mitochondrial DNA leakage which activates the cGAS-STING pathway. Overall, these data show that NR supplementation boosted NAD metabolism to augment mitochondrial function, reducing inflammation and thereby preventing progression of diabetic kidney disease.

pathology↗

bioRxiv2020

Complement and coagulation cascades are potentially involved in dopaminergic neurodegeneration in alpha-synuclein-based mouse models of Parkinson's disease

Parkinsons disease (PD) is the second most common neurodegenerative disorder that results in motor dysfunction and eventually, cognitive impairment. -Synuclein protein has been known to be the most culprit protein, but the underlying pathological mechanism still remains to be elucidated. As an effort to clarify the pathogenesis mechanism by -synuclein, various PD mouse models with -synuclein overexpression have been developed. However, the systemic analysis of protein abundance change by the overexpressed -synuclein in the whole proteome level has been still lacking. To address this issue, we established two sophisticated mouse models of PD by injecting -synuclein preformed fibrils (PFF) or by inducing overexpression of human A53T -synuclein to discover overlapping pathways, which could be altered in the two different types of PD mouse model. For more accurate quantification of mouse brain proteome, stable isotope labeling with amino acid in mammal-based quantification was implemented. As a result, we have successfully identified a total of 8,355 proteins from both of the mouse models; [~]6,800 and [~]7,200 proteins from -synuclein PFF injected mice and human A53T -synuclein transgenic mice, respectively. From the pathway analysis of the differentially expressed proteins in common, the complement and coagulation cascade pathway were determined as the most enriched ones. This is the first study that highlights the significance of the complement and coagulation pathway in the pathogenesis of PD through proteome analyses with two sophisticated mouse models of PD.

neuroscience↗

bioRxiv2019

On the prediction of protein abundance from RNA

BackgroundProfiling of mRNA expression is an important method to identify biomarkers but complicated by limited correlations between mRNA expression and protein abundance. We hypothesised that these correlations could be improved by mathematical models based on measuring splice variants and time delay in protein translation. MethodsWe characterised time-series of primary human naive CD4+ T cells during early T-helper type 1 differentiation with RNA-sequencing and mass-spectrometry proteomics. We then performed computational time-series analysis in this system and in two other key human and murine immune cell types. Linear mathematical mixed time-delayed splice variant models were used to predict protein abundances, and the models were validated using out-of-sample predictions. Lastly, we re-analysed RNA-Seq datasets to evaluate biomarker discovery in five T-cell associated diseases, validating the findings for multiple sclerosis (MS) and asthma. ResultsThe new models demonstrated median correlations of mRNA-to-protein abundance of 0.79-0.94, significantly out-performing models not including the usage of multiple splice variants and time-delays, as shown in cross-validation tests. Our mathematical models provided more differentially expressed proteins between patients and controls in all five diseases. Moreover, analysis of these proteins in asthma and MS supported their relevance. One marker, sCD27, was clinically validated in MS using two independent cohorts, for treatment response and prognosis. ConclusionOur splice variant and time-delay models substantially improved the prediction of protein abundance from mRNA data in three immune cell-types. The models provided valuable biomarker candidates, which were validated in clinical studies of MS and asthma. We propose that our strategy is generally applicable for biomarker discovery.

bioinformatics↗