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Pan, Y.

Publications and source records attributed to Pan, Y..

At least 19 recordsLinked to original sources

Mechanistic insights into coronavirus inhibition by a distinct base-modified adenosine analog targeting the viral polymerase

Nucleoside analog (NA) inhibitors of viral polymerases are a chemically diverse and prominent class of antivirals, with most agents bearing sugar modifications to induce chain termination. Compounds with a modified base yet natural ribose are comparatively rare and typically incorporated to act as virus mutagens, raising significant safety concerns. How nucleobase modifications interfere with polymerization and the molecular basis of this effect remain poorly understood. We here define the mechanism of 6-ethyl-modified 7-deazaadenosine (EDA), a recently identified coronavirus (CoV) inhibitor that does not induce virus mutagenesis. Its strong activity spans across multiple CoVs and cell models and is dictated by the 6-ethyl substituent, with poor tolerance for smaller, larger or heteroatom-containing substituents. At the level of SARS-CoV-2 RNA-dependent RNA polymerase (RdRp), EDA-triphosphate incorporates as a mimic of ATP but not other NTPs, inducing immediate stalling but also excision by the viral 3'-to-5' exonuclease. While EDA incorporation prevents extension with a second EDA residue, the stalling of natural NTP incorporation is transient and still allows the formation of longer products. A similar phenomenon is observed with template-embedded EDA. Cryo-EM analysis with SARS-CoV-2 RdRp revealed that 3'-terminal EDA is accommodated without distortion of the template:primer duplex, but its 6-ethyl group induces rearrangements in the NTP binding pocket that prevent stable binding of the incoming nucleotide. The mechanistic findings were validated through antiviral studies with SARS-CoV-2 mutants bearing core substitutions in the RdRp or exonuclease. Together, these findings position EDA as a mechanistically distinct base-modified NA prototype that has relevance beyond coronaviruses and underscores the ever-expanding versatility of NA-based polymerase inhibitors.

microbiology↗

Benchmarking the Performance of a Commercial Electrostatic Linear Ion Trap (ELIT) Charge Detection Mass Spectrometer For Higher-Order Antibody Aggregate Analysis

Higher-order antibody aggregates remain challenging to characterize using conventional mass spectrometry because of their low abundance, broad mass distributions, and extensive heterogeneity. Here, the practical performance of a commercial electrostatic linear ion trap charge detection mass spectrometer (XevoTM CDMS) was evaluated for therapeutic antibody analysis. The platform provided reproducible mass and charge measurements, with repeatability and intermediate-precision RSDs below 1%, and maintained consistent mass determination across the concentration and solution conditions examined. Controlled mixtures of antibody-derived species showed a linear molar-ratio-dependent ion response, supporting semi-quantitative estimation of relative species abundance under defined conditions. For heat-stressed trastuzumab, CDMS measurements were qualitatively consistent with SEC-MALS, mass photometry, and conventional native MS, while enabling direct mass determination of individual ions within highly heterogeneous high-molecular-weight (HMW) populations that exhibited extensive charge-state overlap and could not be reliably deconvoluted by conventional native MS. High-duty-cycle acquisition increased sampling of low-abundance, high-m/z ions and improved access to higher-order aggregate signals. Joint single ion mass-charge analysis further differentiated statistical ion families within the broad HMW fraction and related major mass differences to independently obtained compositional information. These results support commercial XevoTM CDMS as a practical multidimensional platform for antibody aggregate characterization.

biochemistry↗

FLASH X-rays preserve neutrophil chromatin to boost antitumor immunity

Ultrahigh dose-rate FLASH radiotherapy spares normal tissue while preserving antitumor activity, positioning it as a promising technology in radiation oncology, but its immunomodulatory mechanisms remain elusive. Here, using a bilateral subcutaneous tumor model in mice, we show that 8-Gy FLASH X-rays, versus an equal dose of conventional dose-rate (CONV) X-rays, elicit a robust abscopal antitumor effect with anti-PD-1 therapy. Single-cell transcriptome and T cell receptor (TCR) profiling reveal that FLASH X-rays plus anti-PD-1 enhance antitumor immune infiltration and TCR clonal expansion in both irradiated and abscopal tumor lesions. Mechanistically, the ultrashort temporal continuity of FLASH dose delivery conserves chromatin compaction in neutrophils during exposure and inhibits neutrophil extracellular trap (NET) formation, thereby dismantling NET-mediated CD8+ T-cell exclusion within primary tumors. Conversely, CONV or split-dose FLASH X-rays induce marked chromatin modifications prior to dose completion, leading to chromatin hyper-relaxation which promotes NETosis and consequently abrogates systemic antitumor immunity. Notably, this detrimental effect can be reversed by pharmacologically suppressing PARylation-mediated chromatin modification and decondensation in neutrophils. These findings identify radiation-induced aberrant chromatin relaxation in neutrophils as a critical determinant of radioimmunotherapy outcomes, providing a rationale for redefining the FLASH effect and advancing its clinical translation.

cancer biology↗

Diacylglycerol Kinases Balance DAG Signaling to Control B Cell Maturation, Germinal Center Homeostasis, and Humoral Immunity

Diacylglycerol (DAG) is a critical second messenger downstream of the B-cell receptor (BCR), but how DAG signaling is regulated during B-cell development and humoral responses remains incompletely understood. Here, complementary gain- and loss-of-function approaches revealed stage-specific requirements for diacylglycerol kinase (DGK)-regulated signaling in B cells. Expression of the gain-of-function DGK{zeta} mutant DGK{zeta}{Delta}NLS had limited effects on early BM B-cell development but progressively impaired transitional and mature B-cell populations. DGK{zeta}{Delta}NLS attenuated BCR-induced ERK1/2 and mTOR signaling, activation, and proliferation and, when expressed in AID-expressing B cells, reduced GC B-cell survival and T-dependent IgG responses without detectably impairing GC B-cell proliferation in vivo. Conversely, combined DGK/{zeta} deficiency resulted in marked spontaneous GC B-cell expansion associated with enhanced ERK1/2, Akt, and S6 signaling and increased glucose uptake. Despite this steady-state GC expansion, DGK/{zeta}-deficient mice developed spontaneous autoreactivity and mounted impaired antigen-specific antibody responses. Thus, B-cell developmental stages exhibit differential sensitivity to altered DGK activity, and opposing perturbations of DGK-regulated signaling produce reciprocal effects on GC B-cell accumulation while both compromise productive humoral immunity. These findings identify DGKs as critical regulators that tune lipid signaling for B-cell maturation, GC homeostasis, and effective antibody responses.

immunology↗

CropStabDB: a protein stability resource and Engineering Atlas of orthologue-supported substitutions for 30 plant proteomes

Protein stability, the capacity to maintain a folded structure and function, matters as much for transporters and regulators as for enzymes, and heat erodes it. Wheat, rice, maize and soybean supply two-thirds of human caloric intake, and warming reduces yields. Rubisco activase variants selected for thermostability increased photosynthesis, biomass and yield under heat. They came from gene shuffling; no method proposes residues at proteome scale. Genome editing has made such changes routine, yet predictors estimate melting temperature, name no residue, and have not been reported for a plant proteome. Here we present CropStabDB: 1,425,716 proteins from 30 plant species scored on six interpretable components, with an Engineering Atlas of 2,097,576 candidate substitutions in 51,440 proteins, 785,622 at Engineering Confidence Score [≥] 0.70. Every candidate is a residue a more stable orthologue carries at that column. Substitution-type scores match the direction of measured folding free energies in 842 of 926 domains (90.9%). On three proteomes from families absent from training, the model reaches an area under the curve of 0.919. Applied blind to wheat, the score reproduces the measured thermostability ranking of the Rubisco activase isoforms in all three subgenomes. CropStabDB is freely available without registration at https://cropstab.org.

plant biology↗

High-SNR Whole-Brain Mesoscale Diffusion MRI Using Rotating-View Acquisitions (ROVER-dMRI)

Purpose: We aim to acquire and reconstruct high signal-to-noise ratio (SNR), whole-brain, mesoscale (isotropic submillimeter) diffusion MRI (dMRI) in vivo in a clinically feasible scan time. Methods: We present ROVER-dMRI, a unified rotating-view acquisition and super-resolution reconstruction framework. Thick slices (up to 10 mm)acquired across many rotated orientations improve the base SNR, and a shared multi-resolution hash-encoded implicit neural representation (INR) with per-direction MLP head and a physics-informed, Bloch-simulated slice-profile forward model reconstructs these views into a continuous isotropic volume (up to 13x super-resolution) in a self-supervised manner. ROVER-dMRI was evaluated in vivo on human brain (0.78 mm isotropic and 0.5 mm isotropic) and monkey brain (0.6 mm isotropic) across MRI platforms with varying gradient performance, and benchmarked against gSlider-SMS and least-squares super-resolution reconstruction (LS-SRR). Results: At 0.78 mm isotropic resolution, ROVER-dMRI diffusion- weighted images achieved higher SNR than the vendor product sequence, whose images were limited by the noise floor, while its directionally encoded color (DEC) maps showed lower noise than gSlider. When reducing the number of views from 20 to 13 (reducing the scan time by 65% ), ROVER-dMRI acquisition/reconstruction preserved all fine details in the fiber orientations. In the monkey brain, its DEC map matched a 60-direction gSlider acquisition at only 40% of the scan time. ROVER-dMRI preserved coherent fiber-orientation-distribution (FOD) structure, including crossing fibers, and recovered fine details in the cerebellum at 0.5 mm isotropic, that are not visible at 0.78 mm resolution. Compared to state-of- the-art 0.5 mm methods, ROVER-dMRI reduced scan time by 73% while acquiring more diffusion directions. Conclusion: ROVER-dMRI offers a practical route to high-SNR whole-brain mesoscale diffusion imaging in vivo, with the pulse sequence and reconstruction pipeline released as open source. KEYWORDS: diffusion MRI, super-resolution, implicit neural representation, hash encoding, physics informed learning

neuroscience↗

Fitting dynamics is not identifying causal edges: a white-box masked ODE benchmark for trans-omics digital twins of drug action mechanisms

Multi-component drug regimens, with traditional Chinese medicine formulas as the hardest case, act across signalling, transcriptional, proteomic and metabolic layers, and elucidating their mechanisms requires dynamic models that predict molecular trajectories rather than static association networks. Trainable ordinary differential equation (ODE) systems fitted to time-series omics are increasingly used for this purpose; yet their validation remains fit-based: at genomic scale, no ground truth has existed to test whether a good fit implies correct mechanisms. Here we build that ground truth: a white-box masked ODE benchmark on the real trans-omics topology of insulin action in mouse liver (transcriptome GEO GSE166336, proteome ProteomeXchange PXD022728, phosphoproteome PXD022823, metabolome source-publication Tables S2-S3; 2,106 molecular species; 4,912 ground-truth edges), with controllable noise, missingness and sampling budgets. Four instruments quantify identifiability: an oracle-perturbation basin curve, a held-out-layer corruption assay, a saturation audit, and an ideal-budget ceiling test. We find that a static baseline (FD + LASSO) performs at chance (AUROC ~ 0.50, except GE at 0.567); that from-scratch training remains at chance even with noise-free, fully observed, densely sampled data (per-layer AUROC 0.48-0.53); that held out layers act as corruption sinks whose failure decomposes into an information floor, a scale-mismatch amplifier, and an edge-gradient drag, curable only jointly; that tanh saturation silently zeroes entire regulator columns; and that a 12-knockout validation battery decomposes intervention reliability by network distance. We distill these into operational prescriptions. The binding constraint is not fitting but structural identifiability. Benchmark, code and audit tools are planned for open release upon publication.

bioinformatics↗

The conserved function of bHLH121 and overexpression of N-terminal bHLH121 fragment suppresses iron deficiency response in Arabidopsis

Iron (Fe) homeostasis is fundamental to plant growth and development and is centrally regulated by a well-conserved network of basic helix-loop-helix (bHLH) transcription factors. In Arabidopsis thaliana, bHLH121 regulates the expression of FER-like iron deficiency-induced transcription factor (FIT) and clade Ib bHLH38/39/100/101 genes, among others. However, its functional conservation remains unexplored, and some contradictory results have been reported regarding the effects of bHLH121 overexpression. Here, we investigated the evolutionary conservation of bHLH121 through complementary tests in the Arabidopsis bhlh121 mutant created by CRISPR/Cas9 gene editing. We also investigated the effects of ectopically expressing full-length, N-terminal, and C-terminal fragments of bHLH121 on plant responses to Fe deficiency in Arabidopsis. Transgenic plants overexpressing the full-length bHLH121 driven by the cauliflower mosaic virus 35S promoter (bHLH121 ox) resulted in shorter roots and more severe leaf chlorosis compared to wild-type plants under Fe limiting conditions. Moreover, overexpression of the N-terminal fragment (N121 ox) rendered plants highly sensitive to Fe deficiency, whereas overexpression of the C terminal fragment (C121 ox) did not. Consistent with the phenotypic observations, N121 ox plants accumulated lower Fe content, and the ferric chelate reductase activity was significantly reduced. In N121 ox plants, the induction of key Fe regulatory genes, especially FIT, was significantly inhibited under Fe deficiency. Confocal imaging showed that both N121-GFP and C121-GFP fusion proteins could localize to the nucleus. Electrophoretic mobility shift assay showed that both full-length bHLH121 and N121 could effectively bind the probes derived from the promoter of FIT. The present work reveals a conserved function of bHLH121 in Fe homeostasis across several dicot species and demonstrates that the N121 may possess a dominant nature in Fe deficiency responses.

plant biology↗

Passive thrust production in animal propulsion: exploitation of velocity gradients for energy conservation

Animals move through fluid environments that are rich in velocity gradients, yet how they exploit these flows to reduce locomotor costs remains elusive. We hypothesize that vertebrates utilize shear layers to passively produce thrust and establish a force equilibrium, thereby reducing locomotor cost. We discovered a shear-layer gait where fish preferentially position themselves within velocity gradients to maintain a steady posture and position at ~50% of their sustained maximum speed. Compared to the matching speed of uniform flow, fish moved into an adjacent velocity gradient reduced active propulsion effort by 98% and metabolic costs by 74%, reaching a resting state. The mechanism is a force equilibrium between viscous drag on the high-velocity side of the body and anteriorly directed suction forces on the low-velocity side, fundamentally a passive thrust production driven by the pressure gradients. Such discovery has direct applications in bioinspired propulsion design and broad implications for movement ecology.

physiology↗

Decoding the Transcriptome Dark Matter: Construction of Single-Cell Whole-Transcriptome Regulatory Atlas by dropTotal

To profile unknown ncRNAs-"dark matter" in single cells, we developed dropTotal, a high-throughput droplet-based total RNA-seq method that uses dU-modified GAT primer with temperature-ramp hybridization and droplet merge barcoding to co-detect coding and non-coding transcripts with record sensitivity (>13,500 genes/cell, including >2,000 lncRNAs and >500 sncRNAs), compatible with fresh, frozen, fixed, and FFPE tissues. Applied to ~75,000 human glioma nuclei, it captured 60,313 genes (18,681 lncRNA, 19,859 mRNAs and 6,753 sncRNAs), enabling ncRNA-driven regulatory landscape construction. In oligodendroglioma, module analysis identified recurrence-associated ncRNA-centered modules linked to therapy resistance and invasion; in glioblastoma, six cellular states showed hundreds of state-specific unannotated ncRNAs with divergent functions, from MIR222HG-mediated immune modulation to SCIRT-driven hypoxia adaptation. Alternative splicing analysis identified 428 state-specific junction markers and mapped cell-state-specific alternative splicing regulation. dropTotal offers broad application for decoding the underlying ncRNA biology and single-cell whole transcriptome regulatory mechanisms in cellular identity and disease progression.

genomics↗

DPF3a couples H3K36me2-dependent chromatin remodeling to genome architecture during myogenesis

Chromatin remodelers are generally thought to regulate gene expression through nucleosome mobilization and modulation of local chromatin accessibility. Whether these complexes can instead control transcription through higher-order chromatin organization remains poorly understood. Here we identify the BAF subunit DPF3a as an essential regulator of skeletal muscle regeneration and myogenic differentiation. DPF3a functions through association with the H3K36me2/3 reader HRP2 and preferentially localizes to a distinctive chromatin state characterized by focal depressions within broad H3K36me2 domains. Biochemical reconstitution demonstrates that H3K36 methylation directly enhances remodeling activity of the DPF3a-containing cBAF complex. Unexpectedly, despite profound transcriptional defects, loss of DPF3a produces minimal changes in local chromatin accessibility. Instead, DPF3a is required for long-range chromatin looping associated with activation of myogenic genes. Together, our findings uncover a non-canonical mechanism whereby a chromatin remodeler regulates transcription primarily through three-dimensional genome organization rather than local accessibility control, and establish histone modification-guided chromatin remodeling as a key principle in gene regulation.

molecular biology↗

Cross-Regional Trajectory Analysis Reveals Distinct Temporal Progression of Shared Proteomic Programs in Alzheimer's Disease

Alzheimer's pathology progresses through anatomically distinct brain regions, yet how molecular programs are temporally organized across vulnerable regions remains poorly understood. Here, we reconstructed continuous proteomic trajectories from matched dorsolateral prefrontal cortex (DLPFC) and superior temporal gyrus (STG) proteomes to investigate cross-regional molecular progression in AD. The inferred trajectories closely recapitulated established neuropathological staging while remaining independent of age, sex, and race. Across regions, a mitochondrial bioenergetic protein subset declined substantially earlier in the STG than in the DLPFC, revealing a previously unrecognized regional temporal offset in metabolic dysfunction. In parallel, a broadly shared proteomic program progressed in both regions but more rapidly in the STG, indicating that shared molecular responses differ in their temporal progression despite overall coordination. Together, these findings demonstrate that regional vulnerability in AD is reflected not only by the molecular programs involved but also by their temporal organization during disease progression.

neuroscience↗

Quantifying Neural Stability: Validation of a New Brain Stability Index

Quantifying longitudinal changes in an individual's brain is central to the development of personalised neural biomarkers in neurology and psychiatry. However, existing approaches for characterising individual neurophysiological signatures focus on discrimination between people rather than the quantification of within-subject change. To address this, we introduce the Brain Stability Index (BSI), a whole-brain metric that quantifies the similarity between two longitudinal neurophysiological scans in a low-dimensional latent space, with reference to a normative magnetoencephalography (MEG) database. Using 276 open resting-state MEG datasets and matched synthetic data, we first characterise how finite test-retest reliability sets a noise floor on the BSI. We then demonstrate that the BSI is sensitive to graded changes in whole-brain neural change that extend beyond measurement variability. Finally, we show that Factor Analysis, by separating shared structure from feature-specific noise, makes the BSI more robust to measurement artefacts. Together, these findings establish the BSI as a robust, bounded measure of neural stability that is well suited to longitudinal monitoring in neurology and psychiatry.

neuroscience↗

Chromosomal instability shapes spatial and temporal phenotypic diversity in a malignant peripheral nerve sheath tumour

Understanding the spatial and temporal dynamics of tumour evolution is crucial for determining the drivers of cancer progression. Linking genotype to phenotype across a tumour remains challenging, however. Here, we use single-cell and spatial multi-omics to comprehensively profile a primary malignant peripheral nerve sheath tumour (MPNST) and its multifocal recurrence. Combining the native barcoding system from extensive heterogeneity in copy number alterations with mutation data, we resolve the evolutionary tree of this tumour, revealing a branching structure suggestive of ongoing chromosomal instability. We show that gene dosage effects contribute to phenotypic diversity and scale predominantly linearly with copy number. Using spatial genomics assisted by laser capture microdissection and spatial transcriptomics, we performed in situ lineage tracing in this human tumour, elucidating the relationship between local expansions and interactions between tumour cells and the microenvironment. These findings demonstrate the potential of combined bulk, single-cell and spatial techniques to dissect cancer evolution in time and space and link genotype to phenotype in detail.

genomics↗

A c-di-AMP-controlled glutamine synthesis pathway promotes persistence of Staphylococcus aureus thymidine-dependent small colony variants in the lung

Children with cystic fibrosis (CF) commonly harbor Staphylococcus aureus thymidine-dependent small-colony variants (TD-SCVs), which are associated with reduced lung function and increased respiratory exacerbations. How TD-SCVs survive in the thymidine-limited CF lung is unknown. Here, we show that TD-SCVs exhibit impaired glutamine uptake and depend on c-di-AMP-regulated de novo glutamine synthesis for survival in the murine lung. We found that transcription of the glutamine synthetase gene glnA is cooperatively repressed by the transcriptional regulator GlnR, the c-di-AMP-binding protein PstA, and GlnA itself. Glutamine starvation elevates c-di-AMP levels, relieving repression by this ternary complex and promoting glutamine synthesis. Reducing c-di-AMP levels causes a profound growth defect in TD-SCVs under low-thymidine conditions, which is rescued by glnA overexpression. Moreover, pharmacological inhibition of GlnA markedly impairs TD-SCV growth in murine lung. These findings elucidate the molecular mechanism underlying S. aureus TD-SCV survival during infection and identify glutamine synthesis as a promising therapeutic target for treating infections caused by antifolate-resistant bacteria.

microbiology↗

Augmenting Speech Comprehension using Rapid Frequency Tagging

Speech comprehension under adverse listening conditions benefits from visual speech, but whether visual input can be modulated to improve listening remains unclear. Here we used rapid frequency tagging, a non-invasive sensory stimulation technique, in which the visual tag at 55 Hz over the mouth region of a talking face was amplitude-modulated by the envelope of either the task-relevant or task-irrelevant speech stream. When the visual modulation followed the task-relevant speech envelope, comprehension improved relative to task-irrelevant modulation and to an unmodulated tagging control. MEG responses showed enhanced 55 Hz visual tagging, altered 40 Hz auditory tagging and a non-linear 15 Hz intermodulation. Individual comprehension gains were associated with intermodulation responses in left inferior frontal cortex, linking behavioural benefit to audiovisual interaction. These findings show that task-relevant visual stimulation can improve comprehension by strengthening audiovisual interaction, establishing amplitude-modulated frequency tagging as a tool for probing and supporting comprehension in challenging environments.

neuroscience↗

Seamless interaction in VR: decoding user intent with eye gaze and passive brain-computer interfaces

Virtual reality (VR) interaction remains largely dependent on explicit motor input, limiting seamless and adaptive interaction. This study investigated whether electroencephalography (EEG)-based passive brain-computer interfaces (BCIs), combined with eye gaze, can decode interaction intent directly from its underlying neurophysiological correlates during dynamic VR gameplay. We operationalized interaction intent as comprising two components: affordance-related evaluation, indicating whether an attended object affords interaction, and approach-avoidance evaluation, indicating the directional tendency of interaction toward desirable or undesirable outcomes. Twenty-three participants completed a VR game with two calibration sessions and one online BCI session. Offline analyses showed above-chance decoding of the binary approach-avoidance decision classification across all actionable trials, with a grand-average accuracy of 66.28% across participants. This decoding transferred to online closed-loop gameplay, where grand-average accuracy remained above chance at 69.64%. Category-level analyses further revealed substantial variability in classification separability. For approach-avoidance-related classifications, accuracy reached 80.84% for the most distinct pairing between clearly valenced reward and punishment categories, but dropped to near chance at 59.03% for the more context-dependent pairing with ambiguous motivational valence. Affordance-related classifications between non-actionable and actionable item categories were consistently high, ranging from 77.76% to 83.50%. User Experience questionnaire results showed that, despite limitations leading to perceived loss of control and reduced ease of use, participants found the BCI-based interaction paradigm itself more fun than the controller baseline. To our knowledge, this is the first demonstration of real-time EEG decoding of interaction intent during dynamic VR gameplay, contributing toward intuitive user-adapted interfaces driven by physiological signals in immersive environments.

neuroscience↗

Bone Mechanosensing Dictates Hematopoietic Stem Cell Fate and Immune Homeostasis

The vertebrate water-to-land transition was accompanied by a six-fold increase in gravitational force, followed by the migration of hematopoietic stem cells (HSCs) from kidney or liver to the bone marrow, and the acquisition of enhanced immune functions to cope with novel environmental pressures. Bone senses mechanical loading and provides a microenvironment for HSC development, yet whether bone mechanosensation affects immune cell development and immune homeostasis remains unclear. Here, we unveil bone as a mechanosensory organ that translates mechanical force into hematopoietic instructions. Mechanical loading of bone directs HSCs toward lymphoid lineages in mice and non-human primates, whereas unloading favors myeloid commitment. This process requires osteocyte mechanosensor Piezo1, which induces loading-responsive bone-derived factors such as IL1R2, SERPINC1 and INMT, thereby restraining inflammatory signaling and guiding HSC differentiation. Osteocyte Piezo1 deficiency recapitulates the hematopoietic and immune alterations observed during unloading. Functionally, this pathway enhances acute infection resistance and suppresses immunosenescence in mice and in aged long-tailed macaques. Notably, skeletal mechanoregulation of immune homeostasis is conserved across vertebrate species. Our research defines the mechano-bone-immune axis (mechano-osteoimmunology), offering a novel evolutionary perspective on the interconnected development of the skeletal and immune systems and presenting a promising non-pharmacological target to address immune dysfunction.

immunology↗