Biology subjects

Qian, J.

Publications and source records attributed to Qian, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Asymmetric inter-kingdom gene transfer and a horizontal transposon invasion in a powdery mildew fungus

Horizontal DNA transfer can introduce new genetic material into eukaryotic genomes, but how often recent transfers occur between multicellular lineages and what happens to transferred DNA after integration remain poorly understood. Plants and fungi provide a powerful system to address these questions because of their long-standing and intimate ecological associations. Here, we performed an annotation-independent, bidirectional whole-genome screen across 418 plant and 1,081 fungal genomes and identified 22 high-confidence recent horizontal transfer events. Twenty-one involved fungal DNA acquired by plants and were concentrated in bryophytes and Pooideae grasses, revealing pronounced directional and phylogenetic biases. The evolutionary fate of transferred DNA differed across recipient lineages. In Pooideae, fungal-derived genes underwent duplication, structural remodeling and expression divergence, and showed copy-number variation within species. In Marchantia polymorpha, transferred genes remained mostly single-copy but displayed presence-absence variation and ongoing loss among subspecies and natural accessions. In the opposite direction, we identified a plant-derived DNA transposon integrated into the genome of the tomato powdery mildew fungus Pseudoidium neolycopersici. Following transfer, this element remained active and generated a derived family of miniature inverted-repeat transposable elements that expanded to 172 copies. Recent detectable DNA transfer between plants and fungi is therefore uncommon and strongly asymmetric, but transferred sequences can remain highly dynamic after integration. Their subsequent loss, duplication, structural and regulatory diversification, or transposon-driven amplification links rare cross-kingdom acquisition events to ongoing genome variation and diversification.

evolutionary biology↗

bioRxiv2026

A microbiota-driven neuroepithelial feed-forward circuit drives gastroesophageal junction tumorigenesis

The gastroesophageal junction (GEJ) is continuously exposed to refluxed bile acids and microbial perturbations, yet how these environmental cues are converted into persistent oncogenic signaling is unknown. Here we show that bile acid remodeling enriches the oral commensal Prevotella melaninogenica at the GEJ, where bacterial succinate activates both vagal sensory neurons and SUCNR1-expressing tuft cells. Activated tuft cells release 15-deoxy-12,14-prostaglandin J2 (15-d-PGJ2), which sensitizes sensory neurons and sustains nerve remodeling, while neuronal CGRP drives expansion and tuft-cell differentiation of neuro-responsive epithelial progenitors through RAMP1. This self-reinforcing microbiota-neuron-epithelium circuit promotes dysplastic progression, and its genetic or pharmacological disruption, including with the approved CGRP antagonist rimegepant, suppresses tumor development, revealing an interceptable mechanism linking environmental dysbiosis to cancer initiation through neural circuits.

cancer biology↗

bioRxiv2026

CycDelta: Multimodal Residue-Graph Learning of Permeability Changes in Cyclic Peptides

Membrane permeability remains a major challenge in cyclic-peptide drug discovery, where optimization often depends on estimating changes relative to measured reference compounds. Existing predictors mainly model absolute permeability, while heterogeneity across literature sources complicates pooled training and comparative evaluation. We present CycDelta, a multimodal residue-graph model trained directly on within-source permeability differences. CycDelta combines directed message passing with pretrained Uni-Mol monomer embeddings, physicochemical descriptors and assay information in a shared encoder for reference and query peptides. To evaluate this comparative formulation under controlled conditions, we establish CycDeltaBench, comprising in-distribution, scaffold-based out-of-distribution, external and zero-shot unseen-assay tests. On the out-of-distribution task, CycDelta achieved Pearson 0.69 versus 0.46 for the strongest baseline. It also led all evaluated methods on two external data sets and achieved zero-shot Spearman 0.70 versus 0.32 for the strongest baseline on an unseen assay. Residue-level attribution relates predictions to monomer contributions, while gradient-guided screening supports prioritization of permeability-enhancing analogue hypotheses. These results position CycDelta as a transferable and interpretable framework for comparative permeability prediction and cyclic-peptide optimization.

bioinformatics↗

bioRxiv2026

Circulating apoB-containing lipoproteins constituted blood-borne innate immune barrier limits ZIKV dissemination and congenital infection risk

Following establishment of primary viremia, flaviviruses require prompt penetration through vascular endothelium to achieve systemic dissemination, yet most infections remain asymptomatic or self-limited. Canonical defenses, including complement and phagocyte clearance, cannot fully explain this containment, suggesting an additional blood-borne antiviral barrier. Here, we identify apoB containing lipoproteins as potent restriction factors against Zika virus (ZIKV), a devastating danger of global pregnancy. By displaying surface accessible phosphatidylserine (PS), they competitively occupy host PS receptors and block entry by viruses exploiting apoptotic mimicry, including flaviviruses, Ebola, and chikungunya virus. In vivo, increasing apoB lipoproteins enhances serum antiviral activity and limits systemic ZIKV dissemination. This barrier extends to the maternal fetal interface, where elevated maternal LDL attenuates vertical transmission and fetal abnormalities. Its efficacy is modulated by gestational fluctuations in maternal LDL level and low abundance in fetal circulating LDL. Collectively, apoB containing lipoproteins form a constitutive blood-borne innate immune barrier that restrains apoptotic-mimicry viruses during the intravascular phase, limits viral dissemination and reduces congenital infection risk. This study provides a rationale for developing diet augmentation strategy to strengthen this innate barrier in at-risk individuals.

microbiology↗

bioRxiv2026

Dissecting the TMEM132A-EGFR Dependency to Unlock Translational Therapeutic Opportunities for Pan-Solid Tumor

Solid tumors remain refractory to conventional treatments, yet cell surface proteins, by virtue of their extracellular accessibility and critical roles in tumor signaling, represent an attractive class of targets for precision-targeted therapy. Here, we report that TMEM132A is an essential and previously unrecognized pan-cancer target. TMEM132A interacts directly with EGFR and stabilizes its expression, thereby tethering EGFR at the plasma membrane and sustaining constitutive activation of lipid synthesis. Mechanistically, the TMEM132A-EGFR axis promotes lipogenesis by facilitating SREBP nuclear translocation, which in turn upregulates ACLY and ACSS2 expression to drive acetyl-CoA production and downstream lipid biosynthesis, ultimately disrupting lipid droplet homeostasis. To therapeutically target this axis, we developed a nanobody, LFNanoT132A#3, which effectively blocks the TMEM132A-EGFR interaction, abrogates downstream signaling activation, and potently inhibits proliferation across multiple solid tumor types. Notably, LFNanoT132A also exerts robust antitumor activity against H1975 xenografts, a model resistant to first- and second- generation EGFR inhibitors, underscoring its potential to overcome conventional drug resistance. Our findings establish TMEM132A#3 as a critical node in membrane-tethered oncogenic signaling and metabolic rewiring, and position LFNanoT132A#3 as a promising therapeutic candidate for precision cancer therapy.

cancer biology↗

bioRxiv2026

Metformin enhances differentiation and function of skeletal muscle in models of Facioscapulohumeral Muscular Dystrophy (FSHD)

Facioscapulohumeral muscular dystrophy (FSHD) is one of the most prevalent inherited muscular dystrophies, for which there are no disease-modifying therapies. Metabolic perturbation, mitochondrial dysfunction, and oxidative stress are key contributors to FSHD pathology. Here, the effects of the metabolic regulator and anti-diabetic drug Metformin on myogenesis and muscle function in human and murine models of FSHD were investigated. Metformin did not affect the proliferation rate of human control or patient-derived FSHD myoblasts but promoted their myogenic differentiation, increasing myotube formation and maturation. Metformin also enhanced the metabolic health and viability of myotubes. Mechanistic interrogation revealed reduced levels of mitochondrial reactive oxygen species and modified mitochondrial turnover. These cellular investigations were complemented with in vivo functional assessment in a murine model of FSHD, in which Metformin treated mice exhibited significantly improved muscle strength. Collectively, these findings identify metabolic regulation as a therapeutically tractable feature of FSHD and demonstrate that Metformin improves muscle function in multiple models of FSHD via reduction of oxidative stress and augmentation of cellular metabolic fitness. These results provide insight into the therapeutic actions of Metformin and pre-clinical data to support its testing for repurposing in FSHD.

cell biology↗

bioRxiv2026

Thermal pre-treatment of algal symbiont species differentially affects coral development

The foundation of coral reef ecosystems centered around the nutritional relationship between corals and intracellular algal symbionts. Although these symbioses are highly obligate for coral hosts, many partnerships are re-established anew with each coral generation. Furthermore, climate change destabilizes the symbiosis, and the cellular mechanisms underlying successful symbiont colonization of hosts and host development, and how they are affected by thermal stress are poorly understood. Here, we explored the effect of algal species and thermal treatments on symbiont and host cell proliferation by offering Acropora tenuis larvae one of four algal species pre-exposed to elevated or ambient temperature. In addition, we characterized the cell-surface glycome of each species-temperature combination to understand its role in symbiont recognition and proliferation. We found that thermal pre-treatment negatively affected algal photosynthetic efficiency and initial symbiont density in hosts, but did not affect symbiont colonization rate or cell proliferation. In contrast, host cell proliferation was affected in a species-specific manner. Thermal pre-treatment of B. minutum and D. trenchii negatively affected host cell proliferation compared to control symbionts, whereas thermal treatment of S. microadriaticum did not affect developmental outcomes. Further, uptake of thermally pre-treated D. trenchii decreased host cell proliferation below that of larvae not offered any symbionts, indicating that this relationship is costly to host development despite the high thermal tolerance of this species. Algal surface glycan composition varied across species but not by thermal pre-treatment, suggesting reductions in density of thermally pre-treated algae may be due to changes in physiology rather than altered surface chemistry. Further, variation in glycan abundance across species did not track differences in colonization rate or symbiont density, hinting towards a smaller role of glycans in host-symbiont specificity.

cell biology↗

bioRxiv2026

Angiogenesis Guided by Bombyx mori Silk Proteins is Molecular Weight-Dependent

Silk proteins, including sericin and fibroin, are natural biopolymers with broad applications in tissue engineering where angiogenesis plays an essential role. However, the pro-angiogenic effects of silk proteins with varying molecular weights (MWs) remain poorly understood. Here, silk proteins with MW distributions at 40-180 kDa or less than 25 kDa were obtained through alkaline hydrolysis to evaluate their effects on angiogenesis. Structurally, reducing MW induced a conformational transition in silk proteins, accompanied by a striking morphological shift in sericin from nanofibers to nanoparticles. Functionally, high-MW sericin (SSH) suppressed, whereas low-MW sericin (SSL) and both high- and low-MW silk fibroin (SFH/SFL) directly promoted endothelial angiogenic activity. Transcriptomic analysis revealed that angiogenesis-related genes such as Id1 and Smad6/9 may underlie the angiostatic effects of SSH. Notably, both SSH and SSL enhanced angiogenesis indirectly via macrophages; however, SSH induced mixed M1/M2-like polarization, while SSL preferentially drove an M2-like phenotype. In a subcutaneous implantation model, SSH promoted angiogenesis but yielded vessels with weak integrity and increased fibrosis, whereas SSL enhanced angiogenesis with improved vascular maturity and reduced fibrotic response. These findings elucidate how the MWs of silk proteins shape angiogenic behavior and highlight the importance of MW tailoring for optimized tissue engineering applications.

Cell Biology↗

bioRxiv2026

Sensory neurons encode long-term inflammatory memory that promotes gastric regeneration and tumorigenesis

Inflammatory memory has emerged as a fundamental principle by which prior injury shapes future tissue responses, yet whether sensory neurons participate in long-term tissue memory remains unknown. Here, we show that vagal sensory neurons acquire a durable, experience-dependent state following gastric injury or Helicobacter pylori infection, leading to enhanced regeneration, metaplasia, and tumor progression upon re-injury. This neuronal program is stable, functionally transferable, and sufficient to drive epithelial responses in vivo. Mechanistically, injury-activated ILC2s establish sensory neuronal memory through IL-13-dependent epigenetic remodeling, inducing SMYD4-mediated H3K4 trimethylation and promoting CGRP-dependent activation of gastric epithelial cells. Together, our findings support a model in which tissue memory is not restricted to epithelial or immune compartments but emerges through coordinated long-term adaptations across multiple cellular systems. Within this framework, sensory neurons provide a persistent substrate for recall responses, linking prior inflammatory experience to sustained epithelial plasticity and cancer susceptibility. HIGHLIGHTSO_LISensory neurons function as a durable compartment of tissue memory. C_LIO_LICGRP-RAMP1 signaling couples neuronal memory to gastric stem cells. C_LIO_LIILC2-derived IL-13 establishes sensory neuronal memory programs. C_LIO_LISMYD4-mediated H3K4me3 stabilizes long-term neuronal memory. C_LIO_LINeuronal memory promotes gastric regeneration and tumor susceptibility. C_LI

cancer biology↗

bioRxiv2026

Singlet-states-mediated highly efficient two-photon fluorescence in organic dyes

This study reports a brand-new continuous-wave-excited (CW-excited) two-photon fluorescence emission mechanism in indocyanine green (ICG), an organic fluorescent dye widely used in clinical practice. This mechanism is based on the excited state absorption (ESA) process of the first singlet excited state. Intramolecular electrons sequentially absorb two photons to reach a high-energy singlet excited state, followed by direct radiative transition to the ground state to generate fluorescence. The entire process is exclusively mediated by singlet states. We further summarize the essential requirements for organic dyes to realize this luminescence mechanism. First, the dye must possess at least two well-separated singlet excited states with distinct energies, corresponding to two absorption peaks at different wavelengths in the absorption spectrum. The wavelength of the high-energy singlet excited state is about half that of the first singlet excited state. Second, the peak in the absorption spectrum corresponding to the transition from the ground state to the first singlet excited state has a sufficiently large molar extinction coefficient. Third, the first singlet excited state exhibits the capability of ESA. Fourth, electrons at the high-energy singlet excited state can directly transit to the ground state and emit fluorescence. We validated this mechanism in a variety of organic dyes satisfying the above conditions, confirming its universality. Using CW laser as the excitation source, we achieved two-photon fluorescence imaging of mouse cerebral blood vessels at a depth of 400 m, which clearly resolves three-dimensional vascular networks with high resolution. We also performed two-photon fluorescence imaging on human gastric cancer tissue samples at a depth of around 150 m, which provides a low-cost strategy for clinicians to rapidly acquire high-contrast tumor tissue images.

bioengineering↗

bioRxiv2026

Instant Prior-Free Resolution Enhancement for Cross-Modality Microscopy

The resolving power of optical microscopy is fundamentally constrained by the diffraction of light, limiting our ability to visualize subcellular structures. Computational methods, particularly deconvolution, can restore blurred images but critically depend on an accurate point spread function (PSF), whose estimation is often impractical and error-prone, leading to artifacts. Here, we introduce Nonlinear Fourier Re-weighting (NFR), a rapid algorithm that operates without any prior knowledge of the imaging system, achieving deconvolution-like effects through a single logarithmic mapping of the images Fourier spectrum. This non-iterative process re-balances spatial frequency components to computationally reverse the effects of optical blurring. We demonstrate that NFR robustly enhances resolution beyond the Sparrow limit and recovers authentic structural details. NFR excels where traditional methods fail, remaining effective in the presence of severe optical aberrations and high noise. Furthermore, NFR synergistically improves the output of super-resolution modalities like structured illumination microscopy (SIM), and its near-instantaneous processing enables real-time enhancement of dynamic biological processes, such as in vivo multi-photon microscopic imaging deep within scattering tissue. By decoupling high-fidelity image restoration from system modeling, NFR offers a powerful, accessible, and universally applicable tool for improving image quality across diverse microscopic techniques, facilitating the analysis of large datasets and the discovery of previously obscured biological phenomena.

bioengineering↗

bioRxiv2026

Isolation and Characterization of Extracellular Vesicles from Mouse Retina Tissue

This protocol provides a standardized workflow for the isolation of extracellular vesicles (EVs) from mouse retinal tissue, and includes an assessment of EV size and concentration, marker expression, and EV visualization in accordance with the International Society for Extracellular Vesicles Minimal Information for Studies of Extracellular Vesicles (MISEV) guidelines. Most retinal EV studies rely on cell culture, which may not fully capture in vivo biology. Our approach more accurately reflects physiological and pathological EV states in vivo by enabling the extraction of EVs from intact retinal tissue. This method addresses a key gap in the field by providing a reproducible and rigorous protocol for studying retinal EVs in a biologically relevant context.

cell biology↗

bioRxiv2026

Evaluation of Active Learning Selection Strategies and Characterization of Informative Sequences for Sequence-to-Expression Models

DNA sequence-to-expression models have advanced rapidly, yet they still generalize poorly beyond their training distribution, limiting their use for tasks such as variant effect prediction. Active learning has improved data efficiency across many machine learning domains, but no large-scale study has benchmarked selection strategies for sequence-to-expression models using real experimental data or characterized the sequences they select. We benchmarked six active learning strategies across diverse model architectures, datasets, and configurations. All strategies outperformed random sampling, with uncertainty-based methods performing best. Most of the gains achievable through many small acquisition rounds could be matched with fewer, larger rounds, making lab-in-the-loop workflows experimentally practical. Different strategies selected substantially overlapping sets of sequences that occupied distinct regions of sequence space and were enriched for higher expression, specific dinucleotide compositions, and denser transcription factor binding sites. Nevertheless, active learning consistently outperformed selection based on these biological properties alone, indicating that informativeness is not fully captured by any single feature. Together, our results establish active learning as a critical tool for improving sequence-to-expression models, identify biological signatures of informative sequences, and lay the foundation for iterative lab-in-the-loop refinement.

genomics↗

bioRxiv2026

IgA Targeting in the Infant Gut Is Modulated by Diet and Increasingly Directed Towards Persistent Species

BackgroundIgA is the dominant antibody in the human gut and a key regulator of host-microbe interactions. Infants begin to produce IgA at around 6 months old and receive large quantities of IgA via human milk, but technical limitations have prevented species-level characterization of IgA binding in early life. This has left basic knowledge gaps about which species are targeted by IgA in infancy, and how modifiable lifestyle factors like breastfeeding and complementary feeding impact IgA targeting. ResultsHere we adapt Metagenomic Immunoglobulin Sequencing (MIg-Seq) for low-biomass infant fecal samples and apply this optimized protocol to 32 longitudinal samples from 16 infants enrolled in the MINT trial, a four-arm randomized controlled trial comparing meat-based, dairy-based, plant-based, and reference complementary feeding patterns, with fecal sampling at 6 and 12 months (pre and post intervention). Infant IgA targeting mirrors adults at the phylum level, with both age groups showing significantly higher IgA targeting of Pseudomonadota and lower targeting of Bacteroidota relative to other phyla. During the substantial microbiome compositional shifts noted between 6 and 12 months, IgA targeting is significantly more stable than the microbiome itself. Among persistent colonizers, IgA targeting strengthens significantly from 6 to 12 months, with the most pronounced effect observed for Bifidobacterium, a finding robust across all dietary arms and feeding modes. The feeding arm to which infants were enrolled was not significantly associated with IgA binding, but several nutrient-specific associations were discovered. Animal-derived nutrients, particularly cholesterol, are strongly positively correlated with IgA targeting of Bifidobacterium longum, while plant-derived carotenoids are positively associated with IgA targeting of Flavonifractor plautii and Ruminococcus gnavus. ConclusionsThis study introduces an experimental and computational framework for species-level IgA profiling in the infant gut. The progressive strengthening of IgA targeting of Bifidobacterium and other beneficial persistent colonizers suggests a role for IgA in reinforcing beneficial microbes during infancy. The nutrient-specific dietary effects on IgA targeting reveal the immunological consequences of the complementary feeding period, and highlight a contrast between animal-versus plant-based diets. Together, these findings point to early nutritional interventions and IgA-based therapeutics as promising tools for promoting healthy immune-microbiome development.

microbiology↗

bioRxiv2026

ParSeek: Accurate cryo-EM particle picking with a deep learning model trained on synthetic data

Accurate particle picking from noisy cryo-EM micrographs is essential for high-resolution reconstruction. Current deep learning methods rely on manually annotated data, which is labor-intensive, subjective, and limits particle recall under low signal-to-noise ratio (SNR). Here we introduce ParSeek, an automated picker trained entirely on synthetic data without human annotation. Synthetic micrographs are generated by projecting known 3D structures into realistic background patches that reproduce experimental noise. On seven public cryo-EM datasets, ParSeek outperformed Topaz and CryoSegNet on four datasets, achieving the highest F1-score (up to 0.82) and reaching 0.63 on a challenging membrane protein dataset. Density maps from ParSeek-picked particles showed cross-correlation coefficients up to 0.995 with the reference and a minimal resolution difference of 0.1 [A]. ParSeek also overcame severe orientation bias on an influenza dataset, yielding a reasonable reconstruction. Applied to three experimental datasets (an antibody-antigen complex and two GPCRs), ParSeek enabled reconstructions at 5.0 [A], 4.0 [A], and 2.8 [A], respectively. The 2.8 [A] map resolved side-chain densities and ligand flexibility. This study establishes a fully synthetic-data-driven strategy that eliminates manual annotation for training cryo-EM deep-learning models, paving the way for automated, unbiased particle picking.

molecular biology↗

bioRxiv2026

MACRO-MOLECULAR CROWDING FAVORS WRITHE IN UNWOUND DNA

Genomic DNA is subject to forces and torsion. Some arise mechanically, while others can be entropic, such as those due to crowding within the nuclear environment. Indeed, about 30-40% of the cell is occupied by molecules other than water, and of these, the vast majority are macromolecules. Here, we explore both experimentally and theoretically the interplay between tension, torsion, and macromolecular crowding. Using pharmaceutically relevant crowders of different molecular weights, Dextran 70, and polyethylene glycol (PEG), we observed that macromolecular crowding of unwound, stretched DNA effectively opposed the tension and promoted the formation of plectonemes. A theoretical model representing the equilibrium between B- and L-form DNA fit to the experimental measurements indicates the contractile tension produced by macromolecular crowding of DNA. SIGNIFICANCE STATEMENTDistinct DNA conformers are involved in different cellular processes. Genomic DNA is both stretched and unwound by enzymes in a crowded intracellular medium. This can induce conformational changes between extended, twisted and more compact, plectonemic forms. This study explores the effect of macro-molecular crowding on the conformations of DNA subject to tension and torque. Fitting experimental data to a model for the right-to-left-handed DNA transition, we show that macromolecular crowding induces a contractile force that favors DNA writhe and that such force depends both on the concentration and molecular weight of the crowder.

biophysics↗

bioRxiv2026

Gut-derived metabolic reprogramming drives immune aging and tissue degeneration

Aging is characterized by changes in gut microbiome, metabolic imbalance and chronic inflammation, yet how these processes integrate to drive tissue degeneration remains poorly defined. Using age-related macular degeneration (AMD) as a model of tissue aging, we identify a diet-induced metabolic-immune axis that promotes systemic and retinal degeneration. In mice, a high-fat, cholesterol-enriched (HFC) diet induced perturbations in the gut structural integrity and microbiome repertoire, as well as systemic metabolic aging signatures, prominently marked by reduced circulating histidine. Plasma histidine levels were similarly decreased in AMD patients and inversely correlated with body mass index (BMI) in control donors. These diet-induced gut microbiome changes and subsequent metabolic alterations promoted peripheral innate immune reprogramming, with expansion of inflammatory neutrophils and monocytes that infiltrated the outer retina in a mouse model. Mechanistically, the gut-derived IGF1R/AKT2 signaling acts as a central regulator of global epigenetic remodeling and systemic immune aging under high-fat conditions in C. elegans. In a mouse model with an age-dependent dry AMD-like pathology, distinct retinal pigment epithelium (RPE) subpopulations exhibited downregulation of the histidine transporter SLC7A5, linking metabolic stress to activation of MIF/CD74-dependent inflammatory signaling between RPE and infiltrating immune cells. Histidine supplementation or AKT2 phospho-state modulation attenuated systemic immune activation and rescued retinal degeneration. These findings identify histidine-axis dysregulation as a mechanistic bridge between diet-induced microbiome changes, metabolic stress, immune aging, and retinal degeneration.

cell biology↗

bioRxiv2026

Senescent myoblasts exhibit ROS-dependent Akt-mTORC1 dysregulation and are susceptible to reductive stress-induced cell death.

Ageing is characterised by the accumulation of senescent cells. Owing to their irreversible cell-cycle arrest, these cells lack the capacity to replenish the stem cell pool and regenerate tissue, while their pro-inflammatory secretome propagates senescence in a paracrine manner. Much of the senescent phenotype has been attributed to dysregulated mTORC1 signalling, a key regulator of protein synthesis implicated in organismal ageing. Nonetheless, the mechanism underlying this dysregulation is poorly understood and limited to a few selected cell types. Here, we show that mTORC1 dysregulation is also a characteristic of senescent muscle precursor cells, and in contrast to reports in other cell types, senescent myoblasts do not rely on lysosomal nutrient liberation to sustain mTORC1 activity. Instead, they appear to depend on the PI3K/Akt pathway, which is upregulated in these cells. Exogenous antioxidants were identified to alleviate PI3K/Akt/mTORC1 signalling, while exogenous ROS has the capacity to activate mTORC1, supporting a model in which ROS acts upstream of this pathway in senescent myoblasts. Moreover, antioxidants were able to suppress the expression of pro-inflammatory cytokines and enhance the differentiation of senescent myoblasts. Interestingly, prolonged antioxidant treatment led to increased cell death in senescent but not proliferating myoblasts, suggesting they are more prone to reductive stress-induced cell death. We propose that, in vitro, the antioxidant capacity of many plant-derived compounds may underlie their reported benefits as therapeutics targeting senescent cells (senotherapeutics). Together, our findings provide novel insights into mTORC1-dependent regulation of the senescent phenotype and highlight the role of redox modulation in senotherapeutic strategies.

cell biology↗