Biology subjects

Cheng, B.

Publications and source records attributed to Cheng, B..

At least 19 recordsLinked to original sources

bioRxiv2026

CryoCodex: learning discrete structural representations for cryo-EM map post-processing

Cryo-EM maps frequently suffer from weak structural signals, spatially variable quality, and noise, complicating interpretation and downstream modeling. Existing post-processing approaches treat density enhancement, quality assessment, and masking as separate tasks, often amplifying residual noise or introducing local artifacts. Here, we present CryoCodex, a unified framework that jointly performs density enhancement, local quality estimation, and molecular masking. CryoCodex introduces a multi-head, multi-scale vector-quantization module that projects encoder-derived latent features onto a shared codebook of structural prototypes. By imposing discrete constraints across feature subspaces and spatial scales, the codebook suppresses stochastic noise while preserving recurrent structural patterns. On a non-redundant test set of 126 experimental maps spanning 3-8 [A], CryoCodex outperformed four representative methods, achieving a mean map-model FSC-0.5 of 3.93 [A] versus 4.62 [A] for EMReady2 and 6.87 [A] for the deposited maps. Downstream automated de novo model building with Phenix further confirmed the quality of the CryoCodex-enhanced maps. These gains extended to maps containing nucleic acids, where CryoCodex produced the best map-model agreement and improved model building. Half-map cross-validation indicated that these improvements are anchored to experimental data rather than driven by half-map-specific noise or structural hallucination. CryoCodex also delivered reliable local quality estimates and molecular masks within the same framework. Together, these results establish CryoCodex as a practical tool for cryo-EM map post-processing and structural determination in challenging cases.

bioinformatics↗

bioRxiv2026

Rethinking Platelet Identity from an Extracellular Vesicle-Centric View: A Proof-of-Concept Study

The long-standing ambiguity surrounding whether platelets are cells or particles has hindered a unified understanding of their biology. In this study, we characterized the morphology of platelet-like particles (PLPs) using nanoparticle tracking analysis, transmission electron microscopy, and immunofluorescence. Notably, we observed that platelets can be endocytosed by living cells. We also indicate that platelets express the canonical extracellular vesicles (EVs) markers CD9, CD63, CD81, and TSG101. Our results demonstrate that platelets share six key similarities with EVs--in size, morphology, surface markers, function, biogenesis, and mode of action--leading us to propose a novel classification. Our findings suggest that platelets fulfill the current minimal criteria for EVs, raising the possibility that they could be conceptually viewed as a specialized EVs subset rather than conventional blood cells. Adopting this EVs-centric perspective could broaden the current conceptual framework for EVs and offer an alternative lens for interpreting platelet functions, which may in turn help guide future translational research and clinical exploration.

cell biology↗

bioRxiv2026

AMPKγ2 Deacetylation Drives Nuclear Translocation and Doxorubicin-Induced Cardiomyopathy via Nucleolar Stress Signaling

Doxorubicin (Dox)-induced cardiomyopathy (DIC), characterized by cardiomyocyte apoptosis, remains a major clinical challenge in chemotherapy. The regulatory {gamma}2 subunit of AMP-activated protein kinase (AMPK{gamma}2) plays a key role in cardiovascular diseases, but its function in DIC is poorly understood. Here, we report that Dox induces isoform-specific deacetylation and nuclear accumulation of {gamma}2, triggering nucleolar stress and p53-mediated apoptosis. Mechanistically, HDAC3 and TIP60 interact with {gamma}2 and modulate the acetylation of multiple lysine residues within its nuclear localization signal (NLS), controlling its nucleocytoplasmic shuttling. Dox enhances HDAC3-mediated {gamma}2 deacetylation, thereby driving nuclear accumulation of the {gamma}2-containing AMPK ({gamma}2-AMPK) while suppressing the cytosolic AMPK activity. Nuclear {gamma}2-AMPK phosphorylates and inactivates TIF-IA, a key RNA polymerase I-specific transcription initiation factor, leading to nucleolar stress through inhibition of rRNA transcription. rRNA deficit triggers release of free ribosomal proteins (RPs), which bind to and inhibit the E3 ubiquitin ligase MDM2, resulting in p53 stabilization and activation of apoptotic signaling. Using genetically engineered cardiomyocytes and a DIC mouse model, we found that a deacetyl-mimetic {gamma}2 mutant (6KR) exacerbated DIC, whereas an acetyl-mimetic mutant (6KQ) was cardioprotective. Collectively, our findings establish acetylation-driven nuclear translocation of {gamma}2 as a critical node linking Dox-induced nucleolar stress to p53-dependent apoptosis and suggest a promising cardio-oncology strategy that combines HDAC inhibitors with Dox to mitigate DIC. Significance statementDoxorubicin is an effective cancer drug, but its use is limited by cardiomyopathy. Our study reveals that doxorubicin drives HDAC3-mediated deacetylation of AMPK{gamma}2, exposing its nuclear localization signal and redirecting {gamma}2-containing AMPK from the cytoplasm to the nucleus. Nuclear AMPK{gamma}2 phosphorylates TIF-IA, suppresses ribosomal RNA synthesis, and activates a nucleolar stress pathway that stabilizes p53 and promotes cardiomyocyte apoptosis. In mice, a deacetylation-mimetic AMPK{gamma}2 mutant worsens doxorubicin-induced cardiomyopathy, whereas an acetylation-mimetic mutant is protective. These findings uncover an acetylation-controlled spatial switch in AMPK signaling and identify the AMPK{gamma}2 deacetylation-nucleolar stress axis as a potential target for reducing chemotherapy-associated cardiac injury.

cell biology↗

bioRxiv2026

Persistent Post-Inflammatory Matrix Stiffening Defines a Premalignant Mechanical Niche in Ulcerative Colitis-Associated Neoplasia

Patients with long-standing ulcerative colitis (UC) remain at risk for colorectal neoplasia even after overt inflammatory activity improves, suggesting that repaired mucosa may retain residual tissue-level abnormalities. Whether extracellular matrix remodeling leaves a persistent mechanical cue that contributes to early neoplastic remodeling is unknown. Here we identify post-inflammatory matrix stiffening as a premalignant mechanical niche in UC-associated neoplasia. In human colonic biopsies, collagen remodeling and atomic-force-microscopy-based mucosal stiffness increased from non-UC controls to UC and UC-associated dysplasia. A stiffness-associated transcriptional program was also enriched in histologically non-dysplastic mucosa from patients with UC-associated neoplasia. In mouse models, colonic stiffness increased along the colitis-to-tumorigenesis axis and remained elevated during apparent recovery, when epithelial permeability, junctional protein loss, crypt proliferation and nuclear {beta}-catenin accumulation persisted despite reduced disease activity. Stiffness-controlled intestinal epithelial cultures showed that stiff substrates were sufficient to disrupt ZO-1 organization and enhance {beta}-catenin redistribution, particularly under TNF- stimulation. Pharmacological matrix normalization with {beta}-aminopropionitrile partially restored barrier organization and attenuated early epithelial remodeling in vivo. Single-cell profiling identified a stiffness-associated MMP7-positive/YAP-active epithelial state that was enriched in collagen-rich regions and reduced after matrix softening. Inhibition of YAP or MMP7 attenuated stiffness-associated junctional disruption and {beta}-catenin redistribution. These findings suggest that inflammatory recovery and mechanical recovery can be uncoupled, and that persistent mucosal stiffening provides a tissue-level mechanism by which chronically injured UC mucosa may remain biologically vulnerable to premalignant epithelial remodeling.

Cancer Biology↗

bioRxiv2026

A Conserved Geometric Code: Extracellular Matrix Curvature Directs Cell Migration Strategy via Nuclear Mechanosensing

Cells navigate complex tissue microenvironments defined by intricate physical cues, yet how they interpret the three-dimensional geometry of the extracellular matrix (ECM) remains an open question. Current models often fail to account for the tortuous architectures found in physiological tissues. Here, we demonstrate that ECM curvature functions as a tissue-specific geometric code read by the cell nucleus. By mapping collagen architectures across cancers and tissues, we find unique curvature fingerprints preserved during metastasis. Using micro-engineered substrates, we show that high curvature imposes localized nuclear bending stress, triggering a Lamin A/C-cPLA2-Ca2+ mechanotransductive cascade. This sensor rewires the cytoskeleton from longitudinal stress fibers to a cortical actomyosin network, driving a sharp transition from fast mesenchymal migration to a slower, exploratory amoeboid phenotype. We term this "nuclear curvotaxis", establishing a physical principle linking static geometry to dynamic strategy, with implications for predicting metastatic risk, understanding immune exclusion, and designing bio-instructive scaffolds for tissue engineering.

biophysics↗

bioRxiv2026

Metabolic reprogramming and stress mitigation of Chlamydomonas reinhardtii using protective metal-phenolic networks

Single-cell encapsulation is widely used in biotechnology to protect highly sensitive living cells from environmental stress. However, the impact of encapsulation on biological function and metabolism remains rarely explored despite its importance for understanding stress response and modulating the production of valuable metabolites. Herein, we show that coating individual cells with protective metal-phenolic networks not only improves survival against stress, but also modifies cellular metabolism. Importantly, this encapsulation technique induces a reversible state of quiescence, which enables accumulation of high-energy-density compounds through selective nutrient diffusion and the resulting carbon flux redistribution. Specifically, light exposure favors the accumulation of nearly eightfold higher starches, while incubation in darkness leads to twofold higher lipid accumulation compared to native cells. This metabolic engineering approach via individual cell encapsulation expands the cell editing toolbox and will facilitate applications in synthetic biology, bioengineering, and cell-based therapeutics. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=184 SRC="FIGDIR/small/711231v2_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@d27478org.highwire.dtl.DTLVardef@dc73baorg.highwire.dtl.DTLVardef@131dcaeorg.highwire.dtl.DTLVardef@8f3dc4_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

Tail Flaring as an Agonistic Signal in Hummingbirds

Bird tails in flight generate lift, reduce pressure drag, and stabilize pitch. Hummingbirds can sustain hovering in still air and generate lift in both the up- and downstroke due to their proportionally enormous primary flight muscles and derived wing skeleton. Given their mass-specific wing power, it is possible that tails are less essential to the aerodynamics of hummingbird flight than they are in other birds, freeing them for non-locomotor functions. Hummingbird tails are well known for their morphological elaboration as sexually selected ornaments, including sound generation. From informal observations of agonism, we hypothesized tail flaring may also be a visual signal used by males during fighting. To begin testing this, we measured the frequency and magnitude of tail flaring during fighting. We measured kinematics of tail flaring during male-male fighting of Calliope hummingbirds (Selasphorus calliope, n = 10) indoors. Consistent with our hypothesis, captive males exhibited greater angles of tail flare when engaged in a fight (34.6 {+/-} 45.5{degrees}, mean {+/-} sd) than when performing solitary landing (-14.2 {+/-} 9.12 {degrees}) and takeoff (-14.1 {+/-} 7.0 {degrees}) maneuvers. When birds won a fight, the angles of their tail spread were greater than when they lost (p = 0.01). Moreover, recordings of seven species of hummingbird in the field revealed 95% of inter- and intra- specific contests included tail flaring. We evaluate these results in the context of signaling during animal contests and propose future tests of whether tail flaring is an honest signal of individual quality and Resource Holding Potential. Summary StatementMale-male fighting is common in hummingbirds with competition over food and mates. During these competitions, tail flaring and waggle maneuvers are used as a signal of aggressive intent.

evolutionary biology↗

bioRxiv2026

PathDiffusion: modeling protein folding pathway using evolution-guided diffusion

Despite remarkable advances in protein structure prediction, a fundamental question remains unresolved: how do proteins fold from unfolded conformations into their native states? Here, we introduce PathDiffusion, a novel generative framework that simulates protein folding pathways using evolution-guided diffusion models. PathDiffusion first extracts structure-aware evolutionary information from 52 million predicted structures the AlphaFold database. Then an evolution-guided diffusion model with a dual-score fusion strategy is trained to generate high-fidelity folding pathways. Unlike existing deep learning methods, which primarily sample equilibrium ensembles, PathDiffusion explicitly models the temporal evolution of folding. On a benchmark of 52 proteins with experimentally validated folding pathways, PathDiffusion accurately reconstructs the order of folding events. We further demonstrate its versatility across four challenging applications: (1) recapitulating Antons molecular dynamics trajectory for 12 fast-folding proteins, (2) reproducing functionally important local folding-unfolding transitions in 20 proteins, (3) characterizing conformational ensembles of 50 intrinsically disordered proteins, and (4) resolving distinct folding mechanisms among 3 TIM-barrel proteins. We anticipate that PathDiffusion will be a valuable tool for probing protein folding mechanisms and dynamics at scale.

bioinformatics↗

bioRxiv2025

DCX Enhances Glioblastoma Metabolism Through Synergistic Regulation of Glutamine Synthesis and Metabolism-Related Genes for Cellular Homeostasis

Gliomas are the most common primary intracranial tumors, comprising 81% of malignant brain tumors, and currently lack effective therapies. Recent advances in molecular biology have shown that cancer cells exploit microtubule-associated proteins (MAPs) under stress to activate various signaling pathways. This study investigates the role of Doublecortin (DCX) in glioma metabolism and its impact on tumor proliferation. In this study, CRISPR-engineered glioma models with DCX overexpression or knockdown were analyzed using integrated genomic, transcriptomic, and metabolomic approaches. Metabolic activity was assessed via RNA sequencing, Seahorse assays, and targeted mass spectrometry. Pharmacological inhibition of key pathways validated functional dependencies. We demonstrate that gliomas enriched with DCX exhibit elevated glycolytic activity while also relying on cellular respiration and oxidative phosphorylation (OXPHOS) for energy to support the abnormal proliferation of glioma cells. Upon integrative analysis of enriched genes and proteins, we observed genetic and metabolome-level signatures associated with differences in central carbon and energy metabolism in CRISPR-modified glioma cells expressing high DCX. Whole-genome transcriptome analysis revealed enriched metabolic entities promoting hydrolysis of glutamine and glutaminolysis in glioma cells and inhibition of selected differentially enriched genes with small molecule inhibitors abrogated metabolic enrichment and resulted in reduced energy levels and protein translation required for aberrant growth. Finally, we establish that DCX stimulates glutaminolysis to regulate homeostasis for energy supplements in glioma cells. Targeting DCX-mediated metabolic pathways may provide a novel therapeutic approach for glioblastoma, highlighting the potential for innovative treatments in this challenging disease.

cancer biology↗

bioRxiv2024

Single-cell analysis reveals distinct immune characteristics of hepatocellular carcinoma in HBV-positive versus HBV-negative cases

Infection with the Hepatitis B virus (HBV) is a key risk factor for Hepatocellular carcinoma (HCC) development and progression. It is widely recognized that immunopathological mechanisms are pivotal in developing HBV-related HCC. Nevertheless, the specific mechanisms by which HBV-induced modifications within the tumor microenvironment (TME) contribute to HCC pathogenesis are still not well understood. Here, we utilized single-cell RNA sequencing to analyze and compare the immune landscapes between HBV-positive and HBV-negative HCC. We discovered that HBV infection significantly modifies the immune cell makeup and state, and leads to the suppression and exhaustion of T cells within the TME. Specifically, an increase in SLC4A10+ CD8+ T cells and IFITM3+ macrophages was observed, along with the upregulation of the gene SLC35F1 in various immune cell subtypes. These findings offer valuable insights into the alteration of the immunological microenvironment in HCC associated with HBV infection, suggesting possible targets for immunotherapeutic intervention.

bioinformatics↗

bioRxiv2024

Brain age prediction and deviations from normative trajectories in the neonatal connectome

Structural and functional connectomes undergo rapid changes during the third trimester and the first month of postnatal life. Despite progress, our understanding of the developmental trajectories of the connectome in the perinatal period remains incomplete. Brain age prediction uses machine learning to estimate the brains maturity relative to normative data. The difference between the individuals predicted and chronological age--or brain age gap (BAG)--represents the deviation from these normative trajectories. Here, we assess brain age prediction and BAGs using structural and functional connectomes for infants in the first month of life. We used resting-state fMRI and DTI data from 611 infants (174 preterm; 437 term) from the Developing Human Connectome Project (dHCP) and connectome-based predictive modeling to predict postmenstrual age (PMA). Structural and functional connectomes accurately predicted PMA for term and preterm infants. Predicted ages from each modality were correlated. At the network level, nearly all canonical brain networks--even putatively later developing ones--generated accurate PMA prediction. Additionally, BAGs were associated with perinatal exposures and toddler behavioral outcomes. Overall, our results underscore the importance of normative modeling and deviations from these models during the perinatal period.

neuroscience↗

bioRxiv2023

Hummingbirds rapidly respond to the removal of vision and control a sequence of rate-commanded maneuvers in milliseconds

Hummingbird flight is the epitome of extreme aerial agility and controlled stability, as hummingbirds routinely exercise a variety of stunning aerobatic feats. Yet, the control of these amazing maneuvers is not well understood. Here we examined how hummingbirds control a sequence of maneuvers within milliseconds and tested whether and when their vision is active during this rapid process. We elicited escape flight in calliope hummingbirds and removed visible light at various instants during the maneuvers and quantified their flight kinematics and responses. We show that the escape maneuvers were composed of rapidly-controlled sequential modules, including evasion, reorientation, nose-down dive, forward flight, and nose-up to hover. The hummingbirds did not respond to the light removal during evasion and reorientation until a critical light-removal time; afterward they showed two categories of luminance-based responses that rapidly altered maneuvering modules to terminate the escape. We also show that hummingbird maneuvers are rate-commanded and require no active braking, i.e., their body angular velocities were proportional to the change of wing motion patterns, a trait that likely alleviates the computational demand on flight control. Together, this work uncovers the key traits of hummingbird agility, which can also inform and inspire designs for next-generation agile aerial systems.

animal behavior and cognition↗

bioRxiv2023

2D and 3D multiplexed subcellular profiling of nuclear instability in human cancer

Nuclear atypia, including altered nuclear size, contour, and chromatin organization, is ubiquitous in cancer cells. Atypical primary nuclei and micronuclei can rupture during interphase; however, the frequency, causes, and consequences of nuclear rupture are unknown in most cancers. We demonstrate that nuclear envelope rupture is surprisingly common in many human cancers, particularly glioblastoma. Using highly-multiplexed 2D and super-resolution 3D-imaging of glioblastoma tissues and patient-derived xenografts and cells, we link primary nuclear rupture with reduced lamin A/C and micronuclear rupture with reduced lamin B1. Moreover, ruptured glioblastoma cells activate cGAS-STING-signaling involved in innate immunity. We observe that local patterning of cell states influences tumor spatial organization and is linked to both lamin expression and rupture frequency, with neural-progenitor-cell-like states exhibiting the lowest lamin A/C levels and greatest susceptibility to primary nuclear rupture. Our study reveals that nuclear instability is a core feature of cancer, and links nuclear integrity, cell state, and immune signaling.

cancer biology↗

bioRxiv2023

Lesion aware automated processing pipeline for multimodal neuroimaging stroke data and The Virtual Brain (TVB)

BackgroundProcessing stroke magnetic resonance imaging (MRI) brain data can be susceptible to lesion-based abnormalities. In this study we developed and validated the Lesion Aware automated Processing Pipeline (LeAPP) that incorporates mitigation measures, improving volumetric and connectomics outputs compared to current standards in automated MRI processing pipelines. MethodsBuilding upon the Human Connectome Project (HCP) minimal processing pipeline, we introduced correction measures, such as cost-function masking and virtual brain transplant, and extended functional and diffusion processing to match acquisition protocols often found in a clinical context. A total of 51 participants (36 stroke patients (65.7{+/-}12.96 years, 18 female) and 15 healthy controls (69.2{+/-}7.4 years, 7 female)) were processed across four time points for patients (3-5, 30-40, 85-95, 340-380 days after stroke onset) and one time point for controls. Artificially lesioned brains (N=82), derived from healthy brains and informed by real stroke lesions were created, thus generating ground-truth data for validation. The processing pipeline and validation framework are available as containerized open-source software. Reconstruction quality has been quantified on whole brain level and for lesion affected and unaffected regions-of-interest (ROIs) using metrics like dice score, volume difference and center-of-gravity distance. Global and local level connectome reconstruction was assessed using node strength, node centrality and clustering coefficient. ResultsThe new pipeline LeAPP provides close reconstructions of the ground truth. Deviations in reconstructed averaged whole brain node strength and all ROI based volume and connectome metrics were significantly reduced compared to the HCP pipeline without stroke specific mitigation measures. ConclusionsLeAPP improves reconstruction quality of multimodal MRI processing for brain parcellation and structural connectome estimation significantly over the non-adapted HCP in the presence of lesions and provides a robust framework for diffusion and functional image processing of clinical stroke data. This novel open-source automated processing pipeline contributes to a development towards reproducible research. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=190 HEIGHT=200 SRC="FIGDIR/small/555078v1_ufig1.gif" ALT="Figure 1"> View larger version (85K): org.highwire.dtl.DTLVardef@ca58aborg.highwire.dtl.DTLVardef@8342f4org.highwire.dtl.DTLVardef@1a0d4b9org.highwire.dtl.DTLVardef@1edf1cf_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2023

Hummingbirds use wing inertial effects to improve maneuverability

Hummingbirds outperform other birds in terms of aerial agility at low flight speeds. To reveal the key mechanisms that enable such unparalleled agility, we reconstructed body and wing motion of hummingbird escape maneuvers from high-speed videos; then, we performed computational fluid dynamics modeling and flight mechanics analysis, in which each wingbeat was resolved. We found that the birds utilized the inertia of their wings to achieve peak body rotational acceleration within half a wingbeat before the aerodynamic forces became dominant. The aerodynamic forces instead counteracted the reversed inertial forces in the other half wingbeat, thereby to sustain body rotation, albeit at a lower acceleration. Thus, individual wingbeat cycles that generated body rotations can be split into an agility phase with rapid inertial acceleration, and a stability phase with counteracting aerodynamic and inertial acceleration. This mechanism involving inertial steering enables hummingbirds to generate instantaneous body acceleration at any phase of a wingbeat, and it is likely the key to understanding the unique dexterity distinguishing them from aircraft that solely rely on aerodynamics for maneuvering.

animal behavior and cognition↗

bioRxiv2023

O-GlcNAcylation of Keratin 18 coordinates TCA cycle to promote cholangiocarcinoma progression

Glycosylation in human cholangiocarcinoma (CCA) actively contributes to pathophysiological steps of tumor progression. Of note is the dynamic modification of proteins by O-linked {beta}-N-acetyl-glucosamine (O-GlcNAcylation) that modulates various tumor-associated biological activities. By using a cutting-edge chemical proteomic methodology for intact glycopeptide analysis, we show herein that O-GlcNAcylation of Keratin 18 (K18) coordinates the tricarboxylic acid (TCA) cycle enzymes, namely isocitrate dehydrogenases (IDHs), to promote CCA progression. Mechanistically, site-specific O-GlcNAcylation of K18 on Ser 30 stabilizes K18, which benefits the expression of cell cycle checkpoints to enhance cell cycle progression and cell growth. Interaction with IDHs down-regulates the level of citrate and isocitrate, while up-regulates the level of -ketoglutarate (-KG). Our study thus expands the current understanding of protein O-GlcNAcylation, and adds another dimension of complexity to post-translational control over metabolism and tumorigenesis.

cancer biology↗

bioRxiv2023

SeMOE allows for quantitative glycan perception and exhibits anti-cancer potentiality

Metabolic oligosaccharide engineering (MOE) is a classical chemical approach to perturb, profile and perceive glycans in physiological systems, but probes upon bioorthogonal reaction require accessibility and background signal readout makes it challenging to achieve absolute glycan quantification. Here we develop SeMOE, a selenosugar-based metabolic oligosaccharide engineering strategy that combines elemental analysis and MOE to enable the absolute quantification and mass spectrometric imaging of glycome in a concise procedure. We demonstrate that SeMOE probes allow for perception, absolute quantification and visualization of glycans in diverse biological contexts. We demonstrate that chemical reporters on conventional MOE can be integrated into a bifunctional SeMOE probe to provide multimodality signal readouts. We further show the anti-cancer potentiality of SeMOE probes. SeMOE thus provides a convenient and simplified method to "see more" of the glyco-world.

bioengineering↗

bioRxiv2023

Liproxstatin-1 alleviates cartilage degradation by inhibiting chondrocyte ferroptosis in temporomandibular joint

Ferroptosis contribute to temporomandibular joint osteoarthritis (TMJOA) lesion development is still poorly understood. In this study, we used different TMJOA animal models to detect whether ferroptosis is related to onset of TMJOA which modelling by monosodium iodoacetate (MIA), IL-1{beta}, occlusion disorder (OD) and unilateral anterior crossbite (UAC). Immunohistochemical staining and Western blot analysis were used to detect ferroptosis proteins and cartilage degradation related protein expression. Our results revealed that lower level of ferroptosis-related proteins GPX4 in cartilage layer, but the level of ACSL4 and P53 increase in that of condyle. Injection of ferroptosis inhibitor liproxstatin-1 (Lip-1) effectively decrease ACSL4, P53 and TRF expression. In vitro, IL-1{beta} induced the reduction of cartilage extracellular matrix expression in mandibular condylar chondrocytes (MCCs). Lip-1 maintain the morphology and function of mitochondria, and inhibited the aggravation of lipid peroxidation and reactive oxygen species (ROS) production which induced by IL-1{beta}. These results suggested that chondrocytes ferroptosis play an important role in the development and progression of TMJOA. Inhibition of condylar chondrocyte ferroptosis could be a promising therapeutic strategy for TMJOA. SUMMARY STATEMENTFerroptosis contributed the development and progression of Temporomandibular Joint Osteoarthritis cartilage degeneration. Lip-1 can effective improvement the cartilage degradation of condyle.

cell biology↗