Biology subjects

Zhao, A.

Publications and source records attributed to Zhao, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Ultrasound-mediated blood-brain barrier modulation enhances T-cell access but requires immune activation for effective CNS immunity

Immunotherapy shows limited efficacy in brain tumours, where restricted immune access, antigenic heterogeneity and local immunosuppression constrain durable responses. Low-intensity pulsed ultrasound with microbubbles (LIPU+MB) transiently modulates the blood-brain barrier (BBB) and is widely assumed to enhance immunotherapy by facilitating drug and immune cell penetration into the central nervous system (CNS). However, whether increased anatomical access alone is sufficient to generate effective CNS immunity remains unclear. Here, using a transgenic mouse model with astrocyte-restricted antigen expression, we showed that BBB modulation alone is insufficient to generate functional T-cell immunity in the CNS. Although LIPU+MB enabled rapid T-cell entry, accumulation required prior T-cell activation and integrin-dependent mechanisms, indicating that entry remains governed by canonical immune processes. Moreover, T-cells failed to persist owing to insufficient activation of antigen-presenting cells (APCs) within the CNS. Systemic immune adjuvants (poly-ICLC and IL-2; PI) induced APC activation, promoted tissue-resident-memory-like differentiation and supported durable T-cell responses. LIPU+MB further enhanced these responses by increasing T-cell recruitment, resulting in greater accumulation than with PI alone. Mechanistically, antigen presentation by bone marrow-derived APCs was more critical than that by microglia for the accumulation and persistence of antigen-specifc T-cells in the CNS. In antigenically heterogeneous glioma models resistant to CAR T-cell therapy, combining PI with BBB modulation enhanced the efficacy of immunotherapy, which was mirrored by prolonged survival and endogenous tumour-specific T-cell responses, consistent with epitope spreading. Together, these findings define key limitations of LIPU+MB in enabling effective T-cell therapy and establish that BBB modulation must be coupled to systemic immune activation to support T-cell-mediated antitumour immunity in the CNS.

immunology↗

bioRxiv2026

Directing the Chondro-Fibro Axis via Early Microenvironmental Interactions to Enable Precise and Volumetric Cartilage Repair

Successful cartilage repair remains one of the most significant challenges in the musculoskeletal field. Microfracture (MFx), a form of marrow stimulation, remains the predominant repair technique, but it exhibits routine failure due to inadequate defect fill and inferior fibrotic tissue formation. Whereas current strategies focus on augmenting MFx with scaffolds and bioactive factors, the potential to target the MFx clot itself and use the capabilities of this dynamic environment to guide MFx repair remains largely unexplored. We verified that MFx contraction and fibrosis hinder repair success in minipigs and become evident as early as one week in multiple animal models. Therefore, our objective was to investigate and direct microenvironmental interactions in the MFx clot to promote volumetric maintenance and reprogram cells from a fibrotic to more chondrogenic phenotype. Extracellular control of cell-environment interactions, through fibrinogen augmentation or anti-fibrinolytic treatment, limited contraction but had no effect on or even exacerbated the fibrotic susceptibility of marrow-derived cells (MDCs). Intracellular control of microenvironmental interactions, through modulation of the Rho-ROCK pathway, drove TGF-{beta}3 activity of MDCs along a "chondro-fibro axis". In particular, treatment with the ROCK inhibitor Fasudil drove TGF-{beta}3-treated cells away from a myofibroblast phenotype and towards chondrogenesis. Short-term Fasudil treatment prevented TGF-{beta}3-driven macroscale clot contraction and enhanced cartilage-specific matrix deposition in vitro. In a pilot rat study, this combination treatment improved GAG deposition and better protected surrounding cartilage. These findings suggest that Rho-ROCK modulates TGF-{beta} signaling along this chondro-fibro axis and its precise control could be the key to promoting precise and volumetric cartilage repair through microenvironmental interactions.

bioengineering↗

bioRxiv2026

A Time-Resolved Single-Cell Atlas Reveals Infection-Status, Age-, and Sex-Dependent Immune Responses Drive Viral Disease Severity

The majority of mortality during viral infections occurs in older males; however, underlying mechanisms by which age and sex shape antiviral immunity and pathological inflammatory responses remain incompletely understood. Here, we performed time-resolved single-cell RNA sequencing across 16 conditions spanning age, sex, and four stages of influenza infection in mice, generating a high-resolution atlas. Aged mice demonstrate delayed antiviral and inflammatory responses in multiple myeloid cells, impairing viral clearance, which delays recovery. Similarly, endothelial cells from aging mice show prolonged inflammatory and antiviral gene signatures. Altered gene signatures in immune and endothelial cells result in a shift in endothelial-immune interactions in the aged lung. Further, the infection status of the cell is a major driver of transcriptional state, with infected myeloid cells exhibiting broad upregulation of genes, including interferon-stimulated, inflammatory, complement, and oxidative stress-related genes. To assess whether these age-associated transcriptional patterns are conserved in humans, we examined BAL cells obtained from healthy individuals and COVID-19 patients, and found that immune cells from aged COVID-19 patients had elevated antiviral and pro-inflammatory gene expression compared to cells from young patients. Our analyses of sex differences identified that multiple myeloid cell types in aged male mice, but not in young male mice, show persistent inflammatory responses at later stages of infection, a likely mechanism contributing to elevated mortality in older males. These data reveal how infection status of the cell, age, and sex interact to drive persistent inflammation and impaired resolution, providing a foundational resource for designing age- and sex-specific therapeutic strategies.

immunology↗

bioRxiv2026

scMaize: A Single-Cell Foundation Model and Integrated Atlas for Maize

Single-cell transcriptomics has resolved cell-type-specific gene expression in plants, yet maize still lacks an integrated reference and species-specific foundation models. We present scMaize, combining scMaizeAtlas, an integrated atlas of 385,675 cells from 20 projects and 66 samples across seven tissues with hierarchical annotation, with two Transformer-based foundation models pretrained on this atlas. scMaizeExp serves as an expression-only baseline, while scMaizeGO incorporates Gene Ontology (GO) functional embeddings as an inductive bias. Although global expression-prediction accuracy was comparable, the GO prior improved rank-order prediction, strengthened attention toward functionally coherent gene modules, and enhanced embedding topology, with scMaizeGO achieving 86.0% cell-type and 97.1% tissue classification accuracy. Zero-shot evaluation demonstrated the cross-species generalizability of scMaizeGO representations, and few-shot fine-tuning enabled accurate cross-species classification with minimal labeled data. Root perturbation-condition analysis showed that the model encoded treatment-specific cellular states beyond cell-type identity, with the GO prior amplifying perturbation signals approximately threefold. Expression projection identified condition-responsive genes enriched for known stress pathways, and attention analysis revealed predominantly condition-specific changes in gene-gene attention that were weakly associated with expression-projection changes. An online platform (https://www.scmaize.com) provides atlas exploration, model access, and zero-code analysis tools. scMaize establishes a framework demonstrating that species-specific pretraining with functional priors enables transferable, perturbation-aware representations for crop single-cell genomics.

plant biology↗

bioRxiv2026

Microbial mechanistic requirements for eliciting a topical and intranasal immune response

The skin colonist Staphylococcus epidermidis elicits a potent antibody response that can be redirected against an antigen of interest, but this process relies on genetic engineering.1 Here, by adapting bioorthogonal chemistry methods to conjugate antigens to the cell surface, we make the process of generating a commensal vaccine rapid and efficient. A wide variety of bacteria displaying tetanus toxin fragment C (TTFC) elicit an antibody response when applied to mice topically, indicating that the inductive process is not limited to colonists. Colonization occurs at two different sites, the skin and nostril; by colonizing each with S. epidermidis-TTFC, we show that skin colonization yields a moderate IgG response, while nostril colonization elicits a highly potent systemic IgG response and an exuberant IgA response in the nostrils, lungs, and intestine. Two lines of evidence are consistent with the nasal-associated lymphoid tissue (NALT) as the inductive site for nostril colonization: imaging suggesting robust bacterial translocation, and the induction of commensal-specific B cells following colonization. On the skin, TTFC must be conjugated to live S. epidermidis to elicit an antibody response; in the nostrils, live S. epidermidis-TTFC and S. epidermidis mixed with TTFC are equally potent. Commensal vaccination yields a robust response in pet shop mice, and chemical conjugation facilitates antibody responses to a broad array of antigens, including a whole viral capsid and a rotavirus immunogen. Collectively, these findings provide compelling evidence of a translational path for commensal vaccines.

microbiology↗

bioRxiv2026

Trisomy 21 Impairs Development of Enteric Neural Crest-Derived Cells via SOD1-Mediated RET Dysregulation

Hirschsprung disease (HSCR) is a rare congenital disorder of the enteric nervous system (ENS), marked by the absence of enteric ganglia along variable lengths of the distal gastrointestinal tract, resulting in functional intestinal obstruction. Individuals with Trisomy 21 (Down syndrome) face a 50- to 100-fold increased risk of HSCR relative to the general population, yet the molecular basis of this susceptibility remains poorly understood. Here, we investigated this association using isogenic induced pluripotent stem cells (iPSCs) derived from a mosaic individual with Down syndrome, enabling direct comparison of Trisomy 21 and Disomy 21 cells within an identical genetic background following differentiation into enteric neural crest-derived cells (ENCDCs). Trisomy 21 ENCDCs exhibited reduced proliferative and migratory capacity and an impaired ability to differentiate into enteric neurons relative to Disomy 21 controls. These phenotypes were accompanied by decreased RET expression at both the transcript and protein levels, together with broad downregulation of the RET gene regulatory network, including GDNF, GFRA1, EDNRB, SEMA3C, and NRG1, and of cell cycle and DNA replication pathways. Strikingly, we identified SOD1, a chromosome 21-encoded antioxidant enzyme not previously linked to RET regulation, as a dosage-sensitive driver of this effect: SOD1 overexpression in disomic ENCDCs was sufficient to suppress RET, whereas shRNA-mediated knockdown of SOD1 in Trisomy 21 ENCDCs restored RET expression. Mechanistically, Trisomy 21 ENCDCs displayed markedly elevated catalase and a redox imbalance, and exogenous hydrogen peroxide recapitulated RET suppression in disomic cells, implicating oxidative stress as a mediator of RET downregulation. Collectively, these findings establish Trisomy 21 dosage effects as disruptors of RET-dependent enteric neural crest development and implicate SOD1-driven oxidative stress as a candidate mechanism, providing a framework for understanding the elevated risk of HSCR in Down syndrome.

cell biology↗

bioRxiv2026

Alveolar niche disruption and aberrant epithelial reprogramming are early hallmarks of idiopathic pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease in which the earliest cellular events driving fibrosis remain poorly defined. Here, we analyzed lung samples from three independent and unique cohorts of patients with early disease and preserved lung function (Florence, NIH, Forli), applying an integrated multi-modal approach combining single-nucleus RNA sequencing, bulk transcriptomics, immunostaining, and spatial transcriptomics. Single nuclear RNA sequencing of samples obtained by diagnostic bronchoscopic cryobiopsy (Florence, n= 22) revealed that early IPF is characterized by a marked shift in alveolar epithelial composition, with loss of AT1 and AT2 cells and the emergence of aberrant basaloid cells and alveolar epithelial intermediate cells. These populations exhibited transcriptional programs associated with epithelial plasticity and profibrotic signaling and closely resembled those observed in end-stage IPF. Higher proportions of aberrant basaloid and alveolar epithelial intermediate cells were associated with subsequent disease progression, whereas AT2 cell abundance correlated with preserved lung function. Fibrotic CTHRC1+ fibroblasts are largely restricted to advanced disease, while endothelial remodeling and inflammatory fibroblast states are already evident in early IPF. Spatial transcriptomic analyses confirmed early disruption of the alveolar niche, with replacement of normal epithelial-capillary interactions by aberrant epithelial and venous endothelial cells (Forli, n= 24); the findings were replicated through single cell RNA sequencing of samples obtained by video assisted thoracoscopy two decades earlier (NIH n=9). Together, these findings identify that alveolar niche remodeling with loss of its normal components, and emergence of aberrant basaloid cells are features of early IPF, highlighting epithelial dysfunction as a key potential target for therapeutic interventions in early disease.

genomics↗

bioRxiv2026

Ecology and engineering to modify the bile acid output of a defined microbial community

The bile acid pool, which is synthesized collaboratively by the host and its microbiome, impacts metabolism, immunity, and disease risk. Targeted microbiome interventions could in principle reshape the bile acid pool for therapeutic benefit, but practical strategies remain elusive. In the course of screening a complex defined community for metabolic phenotypes by dropping out individual strains, we observed that several of the single-strain dropout communities had markedly increased deoxycholic and lithocholic acid levels and a larger bile acid pool. In each of these communities, a second strain--Lactobacillus plantarum--had bloomed. The bile salt hydrolase activity of L. plantarum was necessary and sufficient to expand the size of the bile acid pool. An engineered community in which the bsh gene is overexpressed in multiple Lactobacillus strains confers on mice increased levels of secondary bile acid levels and a larger pool size. By overexpressing a different pair of bile acid metabolic genes in multiple strains of Lactobacillus--7- and 7{beta}-hydroxysteroid dehydrogenase--we changed the composition of the bile acid pool, enlarging it and redirecting it toward ursodeoxycholic acid. Together, these results demonstrate that fine details of the microbiomes strain composition can have a substantial effect on bile acid metabolism, and that rational manipulation of the microbiome can alter the size and composition of the bile acid pool.

microbiology↗

bioRxiv2026

A single-strain dropout screen reveals mechanistic links between microbial ecology and metabolism

The complexity of the gut microbiome has made it challenging to define the role of individual species in community-level function. Here, we constructed 56 single-strain dropout variants of a defined 118-member community and used each one to colonize a group of germ-free mice. In many cases, removing a single strain triggered a large reordering of a small group of species, which in turn altered the communitys metabolic output. En bloc removal of the eight-strain acetogen compartment markedly reduced acetate production and caused intestinal H2 accumulation and bloating; a specific subset of four acetogens was sufficient to relieve bloating and restore acetate production. Together, these data show that small disturbances in community composition can trigger a confined ecological reorganization with a large chemical phenotype, and they reveal novel strategies for engineering communities with altered metabolic output.

microbiology↗

bioRxiv2026

Specific Aneuploidies Predict Immune Evasion and Poor Immunotherapy Response in Melanoma

Melanoma is one of the leading cancer types treated with immune checkpoint blockade (ICB), yet a substantial proportion of patients fail to respond. While tumor mutational burden and PD-L1 expression are established ICB biomarkers, they leave large gaps in predictive accuracy. Somatic copy number alterations (SCNAs) are pervasive in melanoma but their role in shaping the tumor immune microenvironment (TME) and predicting immunotherapy outcomes has been insufficiently characterized. Here we present KaryoTME, an integrated computational framework that systematically links SCNAs to immune phenotypes using genomic, transcriptomic, and clinical data from over 15,000 patients. Applying this framework to skin melanoma (SKCM) within a pan-cancer context, we identify arm-level chromosome 1q gain and 9p loss as the most prominent SCNA events associated with an immune-cold tumor microenvironment. These alterations act through distinct mechanisms: 9p loss preferentially depletes NK and CD8+ T cells, whereas 1q gain is more strongly associated with reduced anti-tumor immune cell infiltration. At the focal level, regions 1q21 and 1q42 show the strongest immune-suppressive associations in melanoma. Applying the TUSON-Immune algorithm, we predict candidate Tumor immune Suppressor Genes (TiSG) and immune Oncogenes (iOG) within these chromosomal regions, revealing enrichment for pathways including IFN signaling, JAK/STAT pathway, and immune-suppressive cytokine secretion. Critically, 1q gain emerged as a strong and independent predictor of poor survival following anti-PD-1/PD-L1 therapy across two independent clinical cohorts: the MSK-IMPACT cohort (p = 0.018, N = 77) and a large real-world Caris Life Sciences dataset (HR = 1.2, p = 0.002, N = 1,167). Multivariate analysis confirmed that 1q gain predicts poor outcomes independently of CD8+ T-cell infiltration, B-cell infiltration, tumor mutational burden, and PD-L1 status. These findings establish chromosome 1q gain as a compelling biomarker of immunotherapy resistance in melanoma and highlight aneuploidies as underappreciated drivers of immune evasion in this disease.

cancer biology↗

bioRxiv2026

Spike-in probe-enhanced single-cell RNA-seq reveals post-infusion transcriptomic remodeling of "prime-and-kill" synNotch-CAR-T cells

We previously developed synthetic Notch (synNotch)-chimeric antigen receptor (CAR)-T cells to improve the safety and efficacy of CAR-T therapy for glioblastoma. In this system, an anti-EphA2/IL13R2-dual-CAR is expressed only upon recognition of tumor- or brain-specific "priming" antigens, EGFRvIII (termed E-SYNC cells) or brevican (B-SYNC), respectively, with E-SYNC currently under phase I clinical evaluation (NCT06186401). However, tracking and profiling these engineered cells in vivo remain challenging, limiting our understanding of their activity and therapeutic potential. To address this gap, we developed a single-cell RNA-sequencing (scRNA-seq) workflow with custom spike-in probes for synNotch-CAR transcripts, enabling simultaneous detection of engineered cells and transcriptomic profiling. In vitro, integration of multiple probes using machine-learning-assisted classifiers detected 78.2% of E-SYNC cells and 60.0% of B-SYNC cells with 98.0% specificity. In a xenograft model, synNotch-positive cells were detected across the spleen, lung, and brain, with the highest frequency and most robust priming and activation observed in the brain. Single-cell transcriptomic analyses revealed tissue-specific differentiation programs, including cytotoxicity, proliferation, metabolic activity, and acquisition of tissue-resident memory phenotypes, shaped by both environmental cues and synNotch-mediated antigen recognition. In summary, this spike-in probe-enhanced scRNA-seq workflow enables robust detection and high-resolution characterization of synNotch-CAR-T cell dynamics and provides a broadly applicable platform for monitoring engineered immune cells in diverse clinical contexts. One Sentence SummaryOur spike-in probe-enhanced single-cell RNA-sequencing method enables analysis of tissue-dependent activation and transcriptional states of synNotch-CAR-T cells, providing a robust and scalable platform for in vivo tracking and transcriptomic profiling of engineered cell therapies.

cancer biology↗

bioRxiv2026

Implantation failure linked to altered uterine NK cells in PCOS-like mice

Uterine NK (uNK) cells are essential for reproductive function, yet little is known how they are affected in polycystic ovary syndrome (PCOS), despite the strong association between PCOS and reproductive complications. We demonstrate that implantation failure coincides with distinct phenotypic alterations of uNK cells in a PCOS-like mouse model. Hyperandrogenism caused an increased influx of conventional NK (cNK) cells into the uterus, which contributed to an augmented uNK cell population, while tissue-resident NK (trNK) cells remained unchanged. Notably, CD69+ trNK cells were reduced and seemingly compensated by an upregulated expression of CD69 on cNK cells in the uterus. The maturation of uNK cells was disrupted and plausibly linked to an inability of cNK cells to convert into trNK cells. The inhibited maturation was associated with a reduced expression of the inhibitory receptor NKG2A, demonstrating an impaired education of uNK cells. This disruption of uNK cells could contribute to endometrial dysfunction and may be an underlying factor to reproductive comorbidities such as implantation failure, miscarriage and pre-eclampsia in PCOS.

immunology↗

bioRxiv2026

Automated Ventricle Assessment via Three-dimensional Anatomical Reconstruction (AVA-TAR): a computational toolkit for autonomous lateral ventricle assessment in preclinical hydrocephalus models

IntroductionCurrent workflows for studying hydrocephalus in rodent models rely on manual segmentation or qualitative assessment of ventricular size on small animal magnetic resonance imaging, which are both inefficient and prone to variability. Atlas-based methods enable more streamlined segmentation, but their analysis is limited to morphologically normal samples. ObjectiveThis study aimed to develop and internally validate a deep learning model that performs automated segmentation of lateral ventricles in rodent brain MRIs, allowing for 3D ventricle reconstruction, morphological analysis, and ventriculomegaly detection. MethodsFour U-Net++ neural networks, each with different encoder backbones, were trained using 307 rodent brain MRIs (262 rats, 45 mice), each with manually segmented lateral ventricles serving as the ground truth. Model performance was evaluated using the Dice coefficient, intersection over union (IoU), and Hausdorff index. The most optimal model was evaluated further for its ability to quantify ventricle volume, convexity, surface area, and symmetry. ResultsThe U-Net++ model with an EfficientNet-B1 encoder achieved high accuracy (Dice: 0.823 {+/-} 0.136; IoU: 0.721 {+/-} 0.85). Further assessment of its morphological predictions found strong correlations with manual measurements of ventricular morphology, with Pearson and interclass correlation coefficients exceeding 0.96 across all metrics. The full validated pipeline was packaged into a publicly available application, hosted at https://ava-tar.org. ConclusionThis study introduces a deep learning tool for automated segmentation and morphological analysis of lateral ventricles in rodent MRIs. The tools efficiency and accuracy in quantifying ventricle morphology offers significant utility in preclinical hydrocephalus research with potential future application in the clinical setting.

neuroscience↗

bioRxiv2026

Surf2Spot: A Surface-Informed Geometry-Aware Model for Predicting Binder and Nanobody Design Hotspots

Protein-protein interactions (PPIs) and nanobody-antigen interactions (NAIs) play essential roles in cellular function, yet accurate hotspot prediction remains challenging. We present Surf2Spot, a deep learning framework that integrates sequence embeddings, structural features, and protein surface properties to predict interaction hotspots. By jointly modeling structural and physicochemical determinants, Surf2Spot achieves superior performance on curated PPI and NAI datasets, improving F1-scores by 45.9-46.9% and AUPRC by 43.2% over existing methods. Case studies on NbPDS1 and VdPDA1 demonstrate that Surf2Spot accurately recovers experimentally validated hotspots clustered within functional domains. When incorporated into binder design pipelines (RFdiffusion and BindCraft), Surf2Spot-guided designs yielded a 4-fold increase in successful design throughput and enhanced binding affinities compared to baseline strategies. These results establish Surf2Spot as a powerful tool for hotspot discovery and rational protein engineering.

bioinformatics↗

bioRxiv2026

The nuclear receptor ROR-alpha is a critical myogenic regulator of the cardiomyocyte transcriptome, including the alpha-1A adrenergic receptor

AimsWe recently found that the nuclear receptor retinoic acid-related orphan nuclear receptor alpha (ROR) protects against angiotensin II-induced cardiac hypertrophy and promotes cardiomyocyte mitophagy. The underlying molecular basis for these salutary effects remains unclear. MethodsWe used RNA microarrays to profile the cardiac transcriptomes of "staggerer" (RORsg/sg) mice that carry a naturally occurring mutation in the ligand-binding domain of ROR, resulting in a global loss-of-function genetic model. We then used genetic and pharmacologic loss-and-gain of function studies in cultured cardiomyocytes to ascertain whether ROR regulates transcription of Adra1a, the gene that encodes the alpha-1A-adrenergic receptor (1A-AR). ResultsThe absence of functional ROR results in broad transcriptional changes in the heart providing a likely molecular basis for the RORsg/sg cardiac phenotype. In vivo and in vitro studies confirmed that ROR directly regulates Adra1a transcription. This effect is enhanced by hypoxia. ConclusionsCollectively these findings position ROR as a previously unrecognized central regulator of the cardiac myogenic transcriptome and the first recognized transcriptional regulator of Adra1a in cardiomyocytes. Future studies will probe the contribution of ROR-mediated transcriptional regulation of Adra1a to both the response to cardiomyocyte injury and maintenance of circadian biology.

physiology↗

bioRxiv2025

The organization of visual pathways in the Drosophila brain

Visual systems across species transform photoreceptor inputs into diverse perceptual representations through hierarchical networks that extract features via parallel pathways. In Drosophila, the optic lobes are layered, retinotopic visual processing centers that contain two-thirds of the brains neurons and support diverse visually guided behaviors. Although this architecture has long suggested hierarchical and parallel organization, a system-wide account of how behaviorally relevant visual features are routed and integrated across a complete visual system--in any animal--has remained elusive. The new male fly connectome now provides the synapse-level wiring needed to trace visual information from photoreceptors through the optic lobes and across the central brain. Applying a network-based analysis of information flow, we reveal a multi-layered architecture organized into distinct, functionally interpretable pathways. Using this framework to propagate signals through these pathways predicts receptive-field structure and feature selectivity consistent with physiological data, enabling large-scale functional annotation of thousands of neuron types. We find that distinct visual input channels are broadly distributed throughout the brain, yet converge in focal regions of feature specificity and acute spatial vision. Together, these analyses provide a neuron-level, connectome-based view of how a brain organizes and transforms visual input.

neuroscience↗

bioRxiv2025

Demonstrating and engineering the de novo synthesis of two aromatic chemicals estragole and anethole in Escherichia coli

Estragole and anethole are the major flavoring and aroma components of the essential oils extracted from basil (Ocimum basilicum L.), anise (Pimpinella anisum), star anise (Illicium verum), and fennel (Foeniculum vulgare). Besides, they also exhibit bioactivities, such as antioxidation, antimicrobial, immunomodulation, inti-inflammation, and anti-diabetes. These properties make them being faced with substantial applications in the industries of food, cosmetics, pharmaceutics, and agriculture. Commercial estragole and anethole are currently obtained from extraction from their original plants, which suffers from unstable quality and resources. Microbial synthesis is a promising alternative approach to sustainably obtain estragole and anethole, but has not been achieved. In this study, we modularly redesigned the synthetic pathways based on the Escherichia coli chassis. Firstly, a p-coumaryl alcohol over-accumulator (436.28 mg/L) was engineered to facilitate the validation of the undemonstrated downstream module. De novo biosynthesis of estragole and anethole was achieved by stepwise analysis and BioBricks assembly. The intracellular availability of S-adenosyl-L-methionine (SAM) was revealed to be the key limiting factor, and was enhanced by deregulating the synthesis. Finally, the productions of estragole and anethole were improved by 246.88% and 202.44% compared with the initial strains. This study represents the first synthesis of estragole and anethole in microbial chassis, and the demonstration of microbial synthesis of propenyl phenols. Besides, it provided an alternative sustainable approach to obtain flavoring and aroma chemicals.

synthetic biology↗

bioRxiv2025

HypoxamicroRNA-210 protects against hepatic steatosis by inhibiting CIDEC expression

Background and AimsMetabolic dysfunction-associated steatotic liver disease (MASLD) is a major global health burden. Although hypoxia is known to contribute to MASLD pathogenesis, the role of hypoxia signaling remains poorly defined. We investigated whether HypoxamicroRNA-210 (miR-210), a key hypoxia-inducible microRNA, regulates hepatic lipid metabolism and MASLD development. MethodsSerum miR-210 levels were quantified in MASLD patients and matched controls. Human hepatic spheroids and HepG2 cells were exposed to fatty acids to assess miR-210 induction and lipid accumulation. miR-210 knockout mice were fed a Western diet to evaluate hepatic steatosis and transcriptomic changes using RNA sequencing. RNA pull-down and 3UTR-driven luciferase reporter assays were employed to identify miR-210 targets. Functional effects of miR-210 mimic were examined in knockout mice, db/db mice, and in vitro human hepatic spheroid models. ResultsSerum miR-210 levels were significantly reduced in MASLD patients compared with matched controls. Consistently, human hepatic spheroids did not appropriately increase miR-210 expression in response to fatty acid-induced intracellular hypoxia. This blunted miR-210 response contributed to hepatic lipid accumulation, as loss of miR-210 in a mouse model of MASLD led to increased hepatic lipid deposition and activation of lipid metabolic pathways. We identified CIDEC as a direct miR-210 target mediating its inhibitory effects on hepatic lipid accumulation, and restoring miR-210 expression suppressed CIDEC and reduced hepatic lipid content in knockout mice on a Western diet. Moreover, miR-210 attenuated lipid accumulation in both in vitro human hepatic spheroids and in vivo db/db mice models of MASLD. ConclusionsmiR-210 protects against hepatic steatosis by inhibiting CIDEC expression, suggesting miR-210-CIDEC axis as a promising therapeutic target for reducing hepatic lipid accumulation and preventing MASLD progression. Impact and ImplicationsThis study addresses a critical gap in understanding how hypoxia signaling shapes MASLD and uncovers a novel pathogenic mechanism of hepatic steatosis arising from fatty acids-induced dysregulation of miR-210. Impaired hypoxia responses, via blunted miR-210 induction, contribute to hepatic lipid accumulation through upregulation of CIDEC, a newly identified target of miR-210. These findings establish miR-210 as a novel regulator of hepatic lipid homeostasis and underscore its therapeutic potential. Interventions aimed at restoring miR-210 function in the liver may offer a promising strategy to ameliorate hepatic steatosis and prevent MASLD progression.

molecular biology↗