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Biology subjects

Xu, R.

Publications and source records attributed to Xu, R..

At least 19 recordsLinked to original sources

Endosperm secretion remodels the maternal seed coat

In flowering plants and mammals, maternal tissues must accommodate the growth of the offspring they enclose. The maternal seed coat expands around the developing embryo and endosperm. Endosperm pressure and hormonal signals coordinate seed-coat development1,2, but whether the endosperm directly promotes maternal cell elongation remains unclear. Here we show that the coenocytic Arabidopsis endosperm directly supplies cell-wall-loosening proteins to maternal seed-coat walls. The seed-size-regulating HAIKU-WRKY10 pathway activates an endosperm secretory programme enriched in cell-wall-associated proteins. These proteins spread through a shared extracellular domain across multiple inner seed-coat layers, revealing an extensive functional maternal-filial interface through which the endosperm reaches maternal cells it does not directly contact. Among these proteins, three expansins are necessary and sufficient for maternal cell elongation and seed growth. The endosperm therefore promotes its own growth by enabling expansion of the maternal tissues that enclose it. Paternal DNA methylation and maternal Polycomb activity jointly regulate this programme, with Polycomb also required for timely shutdown of expansin expression. These findings link parental epigenetic states to maternal tissue expansion through proteins supplied by the offspring. This cross-generational control of growth parallels epigenetically regulated signaling from mammalian extraembryonic tissues3, suggesting a shared strategy for adapting the maternal environment to offspring development.

plant biology↗

A simple platform for in situ DNA-PAINT optimization enables improved multiplexed super-resolution imaging in Gram-negative bacteria

DNA-PAINT enables super-resolution imaging with high multiplexing capacity, yet it is rarely used in nanoscale bacteriology. A likely reason is the lack of straightforward protocols and of systematic characterization of imager-docking strand pairs inside intact bacterial cells, whose envelope and dense cytoplasm differ markedly from both the DNA origami in vitro systems used to develop them, and eukaryotic cells. In this work, we establish a screening platform based on RNA-FISH, in which we extend the 16S rRNA-directed EUB338 probe with docking sequences of choice. This allows imager-docking pairs to be benchmarked directly inside Escherichia coli cells and characterized for parameters such as specificity, binding kinetics, and localization precision. We screened 12 different DNA-PAINT sequences and used an optimized set to perform four-target 3D Exchange-PAINT in single E. coli cells. We further applied our strategy to image three effector mRNAs in the Gram-negative pathogen Yersinia enterocolitica and quantified RNA clusters and their 3D distribution. Our work provides a framework and practical guidelines for high-quality 3D DNA-PAINT imaging in Gram-negative bacteria and should facilitate its broader adoption in nanoscale bacteriology.

microbiology↗

KPB82 potently and selectively inhibits ACER2 and protects tumor and primary cells from doxorubicin-induced cytotoxicity

Alkaline ceramidase 2 (ACER2) catalyzes the hydrolysis of ceramides into sphingosine and free fatty acids, playing crucial roles in regulating various biological processes, including but not limited to cell proliferation, survival, and the DNA damage response. However, a pharmacological tool that regulates its catalytic and signaling functions remains to be developed. In this study, N-[(1S,2R)-1-hydroxy-1-phenylpropan-2-yl]dodecane-1-sulfonamide (KPB82) was identified as a potent and selective ACER2 inhibitor. In vitro enzymatic assays showed that KPB82 inhibited ACER2 with an IC50 of 190 nM, while displaying minimal activity against acid and neutral ceramidases (IC50> 100 {micro}M) and no significant inhibition of alkaline ceramidase 1 or alkaline ceramidase 3. Enzymatic kinetic studies revealed that KPB82 is a competitive inhibitor of ACER2. The three-dimensional structure of ACER2 was modeled in the AlphaFold3 server, revealing key Zn2+-coordinating histidine residues and a substrate-binding pocket. Molecular docking studies demonstrated that KPB82 binds ACER2 within this pocket, forming hydrogen bonds with the catalytically important amino residues, Asp93 and His215, and interacting with several hydrophobic residues. Lactate dehydrogenase release assays revealed that KPB82 significantly reduced cytotoxicity in HeLa cells overexpressing ACER2, as well as in HCT116 cells, RT4 cells, and human umbilical vein endothelial cells treated with the DNA-damaging agent doxorubicin. Lipidomic analysis showed that KPB82 inhibited sphingosine production in response to ACER2 overexpression or doxorubicin treatment. Collectively, these findings demonstrate that KPB82 is a potent and selective ACER2 inhibitor capable of suppressing ACER2-dependent biological processes and highlight its potential as a tool for studying ceramide metabolism and ACER2-mediated signaling pathways.

biochemistry↗

P4HA1 sustains endocrine resistance in luminal breast cancer via regulation of cellular stress

The hormone receptor-positive luminal subtype accounts for approximately 70% of all diagnosed breast cancer cases, with endocrine regimens serving as the first-line therapy. However, 30% to 50% of luminal breast cancer patients acquire therapeutic resistance with five to ten years of treatment. Understanding the mechanisms of endocrine resistance and identifying new therapeutic targets remain urgent priorities. Here, we demonstrate that expression of the alpha subunit of prolyl 4-hydroxylase (P4HA1), a key collagen-modifying enzyme, is significantly upregulated in endocrine therapy-resistant luminal breast cancer cells compared to parental endocrine therapy-sensitive cells. Clinically, elevated P4HA1 expression correlates with shortened relapse-free survival in patients with luminal breast cancer. Genetically knocking down P4HA1 or pharmacologically inhibiting its activity successfully restores the sensitivity of endocrine-resistant luminal breast cancer cells to hormone therapy. Mechanistically, we reveal that combining P4HA1 inactivation with endocrine treatment dramatically enhances endoplasmic reticulum (ER) stress-related gene expression. Consistently, treating resistant cells with an exogenous ER stress inducer similarly enhances sensitivity to hormone therapy. Furthermore, we demonstrate that ER stress induced by P4HA1 inactivation is molecularly mediated by an accumulation of reactive oxygen species (ROS). Together, these findings uncover a novel, non-canonical role for P4HA1 as a critical mediator linking endocrine resistance to cellular stress adaptations, positioning P4HA1 as a promising therapeutic vulnerability in endocrine-resistant breast cancer. P4HA1 serves as a necessary role in maintenance resistant state, making it a viable target for combination therapies to overcome endocrine resistance.

cancer biology↗

A tRNA-derived small RNA orchestrates cardioprotection through distinct cell-type-specific mechanisms

Pathological cardiac fibrosis and hypertrophy, key contributors to adverse remodeling that drives heart failure (HF), are not adequately targeted by current therapies. We identified tRNA-Asp-GTC-3'tDR, an ischemia-induced tRNA-derived small RNA (tDR), as an endogenous regulator of both remodeling processes across cardiac fibroblasts and cardiomyocytes. In murine models of myocardial ischemia- and pressure overload-induced HF, cardiac delivery of tRNA-Asp-GTC-3'tDR reduced fibrosis and hypertrophy, preserved cardiac function, and improved survival, with limited three doses conferring durable protection after ischemia, whereas silencing it worsened both. Strikingly, tRNA-Asp-GTC-3'tDR acts through distinct mechanisms in different cell types: in fibroblasts, it assembles stress granules that sequester ribosome-loaded profibrotic transcripts, whereas in cardiomyocytes it engages pseudouridine synthase PUS7 to activate RNA autophagy. Its regulation and functions were confirmed in human cardiac cells and tissues. These findings demonstrate that a single tDR coordinates cell-type-specific protective programs in the heart, suggesting a new therapeutic axis to mitigate HF progression.

cell biology↗

A druggable chromatin vulnerability in suppressive neutrophils restores antitumor immunity

Many cancers evade immunity by converting neutrophils into polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs), but the chromatin mechanisms that maintain this pathological state remain unclear. Here we show that tumor-induced suppressive neutrophils depend on mSWI/SNF chromatin remodeling. Two orally bioavailable mSWI/SNF ATPase antagonists, a degrader and a catalytic inhibitor, produced immune-dependent tumor control across syngeneic models, including tumors resistant to PD-1 blockade, and enhanced checkpoint therapy without overt toxicity. Treatment rapidly depleted intratumoral PMN-MDSCs, restored functional CD8+ T cells, and blocked tumor explant-induced expansion and suppressive activity of mouse and human PMN-MDSCs. mSWI/SNF antagonism collapsed chromatin accessibility and PU.1/C/EBP{beta} occupancy at regulatory elements that sustain PMN-MDSC identity. Thus, suppressive neutrophils harbor a druggable chromatin vulnerability that can be exploited to restore cancer immunity.

cancer biology↗

Benchmarking single-cell foundation models for aging biology

Single cell foundation models (scFMs) provide representations of cellular states, but their utility across biological questions in aging research remains unclear. We established a benchmark of cellular representations for aging research, evaluating ten general-purpose scFMs, three aging-specific models and conventional methods across five biological questions using more than 2.5 million single cell transcriptomes. Using frozen pretrained representations, Geneformer performed best among scFMs for chronological age prediction and age pseudotime concordance, although 2,000 highly variable genes achieved higher mean performance. Several scFMs captured positive molecular age shifts across three disease contexts, consistent with reported aging-associated changes. SCimilarity performed well for rare cellular state identification across out-of-distribution datasets, exceeding aging specific models and conventional baselines. At the gene level, scGPT showed the highest recovery of reference TF target interactions, including aging-related regulatory hubs. Overall, scFMs supported diverse aging analyses, but performance depended on the biological question, highlighting their utility for rare cellular state identification and regulatory analysis.

bioinformatics↗

Coevolution-driven reconstruction of multi-taxa siderophore interaction networks reveals topological diversity of microbial exploitation

Microbial communities are shaped by secreted metabolites that mediate ecological interactions, yet predicting these interactions from genomic sequences remains difficult, because the specific recognition between co-functional metabolites (CFMs), such as siderophores, and their receptor proteins (Rec) cannot be inferred from gene annotation alone. This difficulty arises from three factors: the prevalence of Rec-mediated exploitation, the lack of high-accuracy functional annotations, and the absence of genomic co-localization between functionally paired CFM-Rec in Gram-positive bacteria. Here we present the Coevolution-based Interaction Model (CIM), an automated framework that maps specific CFM-Rec pairings directly from uncurated genomic datasets. Using a dynamic joint optimization strategy that accounts for exploitation asymmetry and avoids combinatorial explosion, CIM identifies functional pairings solely through evolutionary covariation. We validated this approach by reconstructing macroscale iron scavenging networks across nine bacterial taxa. Experiments confirmed that CIM can bridge genomic distances exceeding 3 Mb in the Gram-positive genus Rhodococcus to identify unlinked cognate receptors, and can accurately predict cross-utilization by exploiter strains despite substantial receptor sequence heterogeneity in Burkholderiaceae and Rhizobiaceae. Finally, topological analysis of the reconstructed networks shows that siderophore exploitation acts as a universal topological glue, fusing fragmented microbial populations into highly connected communities, and that the exploitability of siderophore production reverses depending on network modularity. CIM thus offers a scalable, sequence-to-ecology approach for predicting interactions mediated by secondary metabolites in microbial communities.

systems biology↗

ZDHHC14-Mediated Palmitoylation of TBK1 Promotes Pathological Cardiac Hypertrophy via Type I Interferon Signaling Activation

Pathological cardiac hypertrophy represents a common maladaptive response to cardiovascular stress and constitutes a major harbinger of heart failure. Although S-palmitoylation--a reversible post-translational modification--critically governs protein localization, trafficking, and stability, its involvement in cardiac hypertrophy remains poorly characterized. In this study, we aimed to explore the role and regulatory mechanism of a palmitoyltransferase, zinc finger DHHC-type palmitoyltransferase 14 (ZDHHC14), in cardiac hypertrophy. We found that ZDHHC14 was significantly upregulated in cardiac hypertrophy tissues from both human patients and mouse models. Cardiomyocyte-specific ZDHHC14 knockdown ameliorated transverse aortic constriction (TAC)-induced cardiac hypertrophy and dysfunction in male mice, whereas cardiac-specific ZDHHC14 overexpression via AAV9 exacerbated these pathological phenotypes. Mechanistically, TANK-binding kinase 1 (TBK1) was identified as a novel substrate of ZDHHC14 through interactomic screening. ZDHHC14 catalyzed TBK1 palmitoylation at cysteine 267, which in turn facilitated TBK1 phosphorylation and subsequent activation of type I interferon (IFN-I) signaling, ultimately promoting cardiac hypertrophy. Importantly, our findings demonstrate that the TBK1-C267S mutation rectifies ZDHHC14 overexpression-induced exacerbation of cardiac hypertrophy. This study illustrated a ZDHHC14-TBK1-IFN-I axis in regulating cardiac hypertrophy, which may provide a potential therapeutic target to ameliorate pathological cardiac hypertrophy.

molecular biology↗

Palmitoylation calibrates mitochondrial transport of insulin across the endothelium in insulin resistance

Impaired insulin transport across the endothelium contributes to insulin resistance, a poorly understood condition implicated in diabetes and many other chronic diseases. Insulin has been reported to undergo non-receptor-mediated endocytosis resembling fluid-phase uptake through unclear mechanisms. Here we show in mice with diet-induced insulin resistance that endothelial-specific deletion of the depalmitoylase acyl-protein thioesterase 1 (APT1) improved glucose tolerance and insulin sensitivity without affecting chronic inflammation or capillary structure. Endothelial APT1 deficiency increased interstitial insulin levels in mice confirmed by in-situ microneedle-based sampling. In cultured human microvascular cells, APT1 inhibition enhanced cell transport of high-dose insulin independent of the insulin receptor and canonical endocytic machinery. Unexpectedly, live-cell imaging revealed insulin rapidly localizing to mitochondria prior to endolysosomal trafficking, even at physiological insulin concentrations. APT1 inhibition delayed mitochondrial discharge of insulin to lysosomes. Cyclosporin A, an immunosuppressant known to affect mitochondrial function, preserved mitochondrial insulin content and promoted insulin transport in cultured cells, and enhanced interstitial insulin delivery in mice. Proteomic analysis revealed two palmitoylated proteins, PACS1 and YTHDF2, required for APT1-mediated mitochondrial-endolysosomal trafficking of insulin. A mitochondrial insulin shuttle in endothelial cells may participate in the physiological adaptation to hyperinsulinemia and its regulation by palmitoylation suggests a novel approach to insulin resistance.

physiology↗

Patient-derived tau-seeded human neuronal chimeras recapitulate mature Alzheimer's tau pathology and uncover human-specific neuronal vulnerability

Tau pathology is a central hallmark of Alzheimers disease (AD) and strongly correlates with cognitive decline, yet the development of tau-targeted therapies has been hindered by the inability of existing models to capture human-specific disease features, particularly the mature forms of AD tau pathology. Moreover, species-specific mechanisms underlying tau pathology remain poorly understood. Here, we establish a patient-derived tau-seeded human neuronal chimera model by transplanting human pluripotent stem cell (hPSC)-derived neural progenitor cells into neonatal mouse brains, followed by intracerebral injection of pathological tau seeds from postmortem AD brains. Human neurons matured in vivo and recapitulated adult human tau features, including all six isoforms with an approximately 1:1 3R:4R ratio. Upon seeding, aged human neurons without FTD mutations faithfully developed robust, mature AD tau pathology, including neurofibrillary tangles (NFTs) and neuropil threads composed of paired helical filaments (PHFs) and straight filaments (SFs) containing 3R and 4R tau, closely mirroring advanced-stage AD. This pathology accumulated and spread across anatomically connected regions, accompanied by neurodegeneration, elevated plasma pTau-217, and memory deficits. Strikingly, tau pathology was largely restricted to human neurons, revealing a pronounced human-specific vulnerability. Mechanistically, snRNA-seq showed that human neurons exhibited higher basal expression of tau-uptake genes and widespread synaptic suppression following tau exposure, whereas mouse neurons remained transcriptomically resilient. Finally, the familial AD mutation PSEN2 N141I exacerbated tau pathology and synaptic loss in human neurons. Together, this model recapitulates the molecular, structural, and functional hallmarks of mature AD tau pathology in human neurons in vivo and reveals intrinsic, species-specific vulnerability, providing a human-relevant in vivo platform for mechanistic studies and therapeutic development.

neuroscience↗

Monosynaptic connections link functionally similar regions in human cortex

The functional organization of human cortex has been mapped in considerable detail1-5, yet the axonal connections linking these areas remain largely unknown. This gap precludes inferring either the computational pathways through cortical networks or the principles governing why each area connects to its particular target regions. Here, in patients undergoing intracranial monitoring for epilepsy, we used concurrent electrical stimulation and functional magnetic resonance imaging (es-fMRI), validated previously against tracer studies in nonhuman primates6, to map anatomical connectivity of cortical sites across the whole brain, and combined these maps with task and resting-state fMRI in the same individuals. Es-fMRI revealed four main findings. First, connectivity followed an asymmetric functional-similarity principle: connected sites tended to share similar functional profiles, but, because connectivity is sparse, most pairs of functionally similar sites were not connected. Second, although connectivity also declines with distance7, the functional profile explained three times as much variance in connectivity as distance did, and long-range connections were the most functionally specific. Third, es-fMRI revealed direct monosynaptic links between established functional regions, including between the fusiform face area (FFA)2 and the temporoparietal junction (TPJ)3 for social cognition. Fourth, resting-state functional connectivity (rsFC) of a stimulation site was only weakly correlated with that sites es-fMRI connectivity. Together, these results provide a first principled link between anatomical connectivity and functional organization in the human cortex, and establish es-fMRI as a scalable approach to building a tracer-grade connectome of the human brain.

neuroscience↗

Dual inhibition of GTP-bound (ON) and GDP-bound (OFF) KRASG12C suppresses PI3Kα and leads to potent tumor inhibition

Current approved KRASG12C inhibitors covalently bind the inactive GDP-bound (OFF) form of KRASG12C. Recently, KRASG12C inhibitors that selectively bind to the GTP-bound (ON) form of both KRASG12C (ON) and (OFF) forms have been reported and entered clinical testing. In principle, KRASG12C (ON) inhibitors may be less susceptible to adaptive mechanisms that promote resistance to (OFF) inhibitors, however the specific mechanisms that differentiate the activity of (ON) versus (OFF) inhibition are not well understood. We profiled the activity of BBO-8520, a covalent dual inhibitor of GTP-bound (ON) and GDP-bound (OFF) KRASG12C, in KRASG12C-mutant non-small cell lung cancer models. BBO-8520 exerted more potent and sustained inhibition of KRASG12C and anti-tumor activity in vitro and in vivo compared with sotorasib, a KRASG12C (OFF)-only inhibitor. While cells treated with BBO-8520 or sotorasib both exhibited feedback reactivation of MAPK signaling driven by wild-type HRAS/NRAS isoforms, more durable suppression of KRASG12C by BBO-8520 was associated with decreased PI3K-AKT activation in vitro. Disruption of the interaction between RAS and PI3K using a novel protein:protein interaction inhibitor suppressed PI3K-AKT activation and increased the tumor response to sotorasib to a similar level as BBO-8520. Moreover, in some contexts, disruption of RAS-PI3K further increased the anti-tumor activity of BBO-8520 monotherapy. These results reveal mechanistic differences between KRAS (ON) and (OFF) inhibitors, highlight the importance of PI3K-AKT signaling in driving resistance to KRAS inhibition in lung cancer, and suggest combination strategies that suppress PI3K-AKT to improve the response to KRAS inhibitors.

cancer biology↗

Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering

Enzyme-directed evolution increasingly relies on computational tools to prioritize mutations, yet their practical value is difficult to assess because kinetic data are often aggregated across heterogeneous assay conditions, inflating apparent generalization. Here we introduce EnzyArena, a curated benchmark in which kinetic parameters (kcat, Km and kcat/Km) are grouped by experimental campaign and measured under matched conditions, thereby minimizing confounders such as pH, temperature, reaction, and batch. Using EnzyArena, we systematically evaluate 20 models spanning four widely used strategies for guiding enzyme evolution: protein-ligand binding affinity prediction, protein stability prediction, zero-shot fitness prediction and enzyme kinetic parameter prediction. Across subsets derived from public databases and 25 independent mutagenesis datasets, most models exhibit weak, fragile or inconsistent correlation with catalytic activity. Kinetic-parameter predictors perform strongly on database-derived subsets but lose their advantage on independent datasets, whereas zero-shot predictors show more consistent generalization. A simple consensus of multiple zero-shot models further improves the precision of identifying beneficial mutants. We prospectively validated these findings in a wet-lab campaign (150 mutants) comparing random mutants, UniKP-prioritized mutants and ESM-1v-prioritized mutants (representing supervised kinetic-parameter prediction and zero-shot fitness prediction, respectively), where ESM-1v achieved the highest utility and UniKP underperformed the random baseline. Together, this study establishes realistic baselines for computational mutant prioritization and highlights consensus zero-shot strategies as a practical starting point for enzyme engineering. Zero-shot fitness predictors are the most competitive and generalizable class, but still achieve only modest correlations on independent datasets. Notably, a simple consensus of multiple zero-shot models substantially improves the precision of identifying superior mutants and currently offers the most practical computational benefit for enzyme engineering. Our work establishes EnzyArena as a fair benchmark for enzyme activity prediction, defines realistic performance baselines for existing tools, and highlights consensus zero-shot strategies as the most useful computational tool in practice for enzyme-directed evolution.

bioengineering↗

Developmental determinants of male bias in medulloblastoma

Boys experience an overall increased incidence of several childhood cancers, including medulloblastoma, a clinically heterogeneous cerebellar tumor. In subtypes of Group 3 and Group 4 medulloblastoma, males are three times more prevalent than females. As medulloblastoma is suspected to initiate during fetal development, we hypothesized that this sex bias reflects a combination of prenatal, sex-specific developmental processes and somatic alterations. To test these hypotheses, we compiled a large multi-omics dataset from children with medulloblastoma, which revealed sex-specific alterations, including frequent loss of the inactive X chromosome in females with Group 4. Generation of a sex-matched single-cell transcriptome atlas of the developing murine cerebellum enabled investigation of putative developmental factors underlying sex bias. Progenitors giving rise to Group 3/4 subgroups were more abundant, more proliferative, and harbored more open chromatin for recruitment of LMX1A and OTX2, master transcription factors defining Group 3/4 identity. Advanced genetically engineered mouse models and human cerebellar organoids were leveraged to determine whether sexual dimorphism arises from intrinsic or extrinsic factors. These models showed that the XY genotype contributed to the phenotype, but the predominant effect was driven by presence of the male gonadal hormone testosterone. Our findings provide a sex-specific genetic and neurodevelopmental explanation for male bias in an aggressive pediatric brain tumor. Outcomes from this study may inform novel treatment strategies delivered according to sex and are likely to be broadly applicable to other sex-biased malignancies arising in early life. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/714163v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@566e41org.highwire.dtl.DTLVardef@607ae9org.highwire.dtl.DTLVardef@25679aorg.highwire.dtl.DTLVardef@1b4beec_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

Syncytial coupling of mid-capillary pericytes underlies seizure-associated electro-metabolic signaling

Disturbances of neurovascular coupling (NVC) contribute to metabolic derailment and neurological symptoms associated with epilepsy. While postictal arterial constriction can be alleviated by inhibitors of voltage gated calcium channels (VGCCs), less is knownregarding seizure-associated electrical signals in higher-order capillaries and their role in determining pericyte tone during seizures. Here we investigated electrical signaling within the ex vivo neurovascular unit (NVU) derived from rat and human brain tissue. We focused on electrical signal transduction between pericytes and endothelial cells and the potential role of VGCCs in vasomotion. Using dye coupling and paired patch-clamp recordings, we showed that morphologically heterogeneous groups of mid-capillary pericytes build a functional syncytium with endothelial cells. Coupling was asymmetric, allowing for directed propagation of electrical signals. Regardless of their morphology, mid-capillary pericytes responded with depolarization and constriction to metabotropic receptor (GPCR) activation (by thromboxane, norepinephrine and UDP-glucose). However, depolarization via the patch pipette induced neithe r Ca2+-influx nor constriction, suggesting lack of contribution of VGCCs to vasomotion. On inducing epileptiform activity, A2a adenosine receptors and inwardly rectifying potassium channels hyperpolarized the capillary syncytium, followed by repeated depolarizations due to seizure-associated potassium increase in the parenchyma. Thus, while mid-capillary pericytes are contractile, their tone does not rely on their membrane potential and VGCCs. However, syncytial coupling allows for transmission of seizure-associated hyper- and depolarizing signals to upstream feeding arterioles.

neuroscience↗

Early proteomic signatures of Alzheimer`s disease in the retina and brain of 3xTg-AD mice

Visual dysfunction and retinal structural alterations often precede brain pathology and cognitive decline in Alzheimers disease (AD), yet the molecular basis of these early changes and their relationship to the brain pathology remain unclear. Here, we performed quantitative proteomic profiling of retina and brain from 1-month of age triple-transgenic (3xTg-AD) mice harboring human PS1M146V, APPSwe, and tauP301L mutations, preceding detectable morphological abnormalities. Proteomic analysis identified 92 significantly altered proteins in the retina and 130 in the brain, with eight overlapping proteins between tissues. These shared proteins included three hemoglobin subunits (HBB1, HBB2, A8DUK4) and five proteins involved in metabolic regulation and intracellular transport. In addition to individual protein changes, pathway analysis demonstrated that mitochondrial metabolism and intracellular transport were commonly dysregulated in both tissues. Brain proteome was characterized by broad changes in mitochondrial-associated proteins, including respiratory chain components and mitochondrial ribosomal subunits, as well as proteins related to autophagy and synaptic vesicle pathways. In contrast, the retinal proteome was characterized by downregulation of vision-related proteins, altered small molecule transporters, and a marked reduction of the mitochondrial enzyme succinate-CoA ligase subunit {beta} (SUCB2). As SUCB2 links mitochondrial metabolism to epigenetic regulation through succinylation and lactylation, its depletion may promote mitochondria-to-nucleus signaling and early transcriptional reprogramming in the AD retina. Together, these findings demonstrate early metabolic and transport dysregulation in both retina and brain and highlight selective alterations of visual proteins in the retina. These early retinal proteomic changes provide valuable insight into understanding early metabolic disturbances in the eye and brain for AD detection.

biochemistry↗

Endocrine-metabolic decoupling drives stress vulnerability in dystrophin deficiency

Skeletal muscle orchestrates systemic metabolism, dynamically coordinating glucose uptake and fuel use to match energy demand. In Duchenne muscular dystrophy, loss of dystrophin is associated with altered metabolic regulation. In the mdx mouse, we show that physiological stress reveals impaired coordination between insulin and stress responses: glucocorticoid signalling increases without a proportional rise in insulin secretion, resulting in systemic hyperglycaemia despite preserved capacity for muscle glucose uptake. These data support a multi-tissue dystrophinopathy associated with altered endocrine-metabolic coordination. Skeletal muscle glycogen is elevated and incompletely mobilised under stress. The heart maintains high glucose uptake, whereas the brain exhibits reduced uptake, highlighting tissue specific differences in metabolic response. Acute insulin supplementation improves systemic glucose control and restores stress-induced behavioural deficits. Likewise, empagliflozin-mediated glucose offloading reduces stress-associated blood glucose spikes and is associated with improved muscle function to levels comparable with standard care prednisolone. These findings identify impaired coordination of endocrine and metabolic responses during stress as a contributor to metabolic vulnerability in DMD and suggest that modulating insulin availability or glucose flux can improve systemic metabolic control.

systems biology↗