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Xiao, Y.

Publications and source records attributed to Xiao, Y..

At least 109 records · Page 6Linked to original sources

Brain network dynamics determine tau presence while regional vulnerability governs tau load in Alzheimer's disease

In Alzheimers disease (AD), tau pathology accumulates gradually throughout the brain, with clinical decline reflecting tau progression. A comprehensive understanding of, first, whether tau propagation is predominantly governed by connectome-based diffusion, regional vulnerability, or an interplay of both, and second, which types of brain connectivity or regional factors best explain tau propagation, remains crucial for advancing our understanding of AD progression. Here, we apply multi-scale, biologically informed disease progression simulations to human data, to disentangle the influence of local mechanisms on global tau progression patterns in AD. We find that whether tau reaches a brain region (presence) and how much tau accumulates there (load) are governed by different mechanisms. Tau presence patterns are highly consistent across the population, and can be largely explained through synaptic spread through white-matter networks and excitatory-inhibitory dynamics. Meanwhile tau load differs across people, and is driven by a combination of synaptic spread and intrinsic or extrinsic regional properties, including regional {beta}-amyloid load, MAPT gene expression and regional blood flow. Finally, while distinct tau patterns in the population could each be explained by established AD mechanisms, our models highlight a role of distinct brain networks (parietal networks in MTL-sparing AD tau subtype) and neurotransmitter systems (cholinergic system in posterior subtype). Together, this work suggests that network dynamics likely determine the sequence of regional tau progression, while individual-specific tissue-vulnerability factors influence regional tau load.

neuroscience↗

The alterations of the synthetic pathway and metabolic flux of auxin indole-3-acetic acid (IAA) govern thermotolerance in Lentinula edodes mycelia subjected to heat stress

Heat stress poses a significant constraint on the annual production of Lentinula edodes(L. edodes), a challenge that has been intensified by global warming. Previous studies have established a close relationship between intracellular indole-3-acetic acid (IAA) content and heat tolerance in L. edodes. However, the specific changes in the IAA synthesis pathway and the target genes regulated by IAA under heat stress remain unclear. We employed targeted metabolomics and transcriptomics analysis to investigate the alterations in IAA synthesis pathways and gene expression in both heat-tolerant and heat-sensitive strains at various time points during heat stress. Our findings revealed that IAA is primarily synthesized via the tryptamine (TAM) and indole-3-pyruvic acid (IPYA) pathways in L. edodes. Heat-sensitive strain Y3357 exhibited excessive accumulation of tryptamine after heat stress. Silencing of the key genes of IAA synthesis include tryptophan decarboxylase (TDC) and tryptophan transaminase (TAA) in strain S606 could reduce the thermotolerance of L. edodes mycelia. Transcriptome analysis revealed that heat-tolerant strain S606 had an earlier response to protein folding and mitochondrial gene expression compared to the heat-sensitive strain Y3357. Additionally, most genes in the MAPK signaling pathway were up-regulated after 10-24 hours of heat stress, with auxin response elements (AREs) identified in their promoters. These results suggest that the excessive tryptamine accumulation is the newly discovered limiting factor for thermotolerance, and the expression levels of key genes in the IAA synthesis pathway could directly influence hyphal thermotolerance. This study provides a new perspective on the mechanism by which IAA and the synthesis precursors affects thermotolerance of L. edodes. ImportanceAs an important plant hormone, the potential role of IAA in enhancing the heat resistance of L. edodes strains has garnered significant attention. This study systematically investigated the intracellular IAA biosynthesis pathway and its metabolic flows in L. edodes under varying durations of thermal stress, with particular emphasis on temporal gene expression patterns. Research has demonstrated that excessive accumulation of tryptamine may impair the heat stress recovery capability of L. edodes. In contrast, IAA can improve its thermotolerance by modulating the expression of genes associated with the MAPK signaling pathway.

microbiology↗

Multiple evolutionary events in host plant adaptation in Lepidoptera

The evolution of insect host adaptation is a key component of insect-plant coevolution, a complex process often shaped by multiple evolutionary events. In this study, we identified two UDP-glycosyltransferase (UGT) genes, SfruUGT33T10 and SfruUGT33F32, in the fall armyworm Spodoptera frugiperda, which play critical roles in the tolerance of benzoxazinoids (BXs), secondary metabolites in maize. These two detoxification enzymes exhibited distinct glycosylation patterns for BXs and varying detoxification efficiencies, reflecting independent evolutionary trajectories. Phylogenetic analyses revealed that SfruUGT33T10 originated independently within Noctuidae, while SfruUGT33F32 resulted from tandem duplication within the UGT33F gene family and may have undergone neofunctionalization within the Spodoptera genus. Our findings provide evidence that the evolution of these two UGT paralogs contributed to the variation in the tolerance to maize BXs among different Lepidopteran species. This research underscores the significance of multiple independent evolutionary routes in host plant adaptation and offer new insights into the complex evolutionary processes underlying insect-plant interactions.

evolutionary biology↗

A transcriptional biosensor reveals mechanisms of α-ketoglutarate signaling to chromatin

Alpha-ketoglutarate (KG) is required for chromatin demethylation but mechanisms controlling KG abundance in the nucleus are poorly defined. Therefore, we designed a biosensor system to monitor this metabolite pool in human cells using an KG-responsive cyanobacterial transcription factor, NtcA. We then coupled this system with a genetic screen to identify genes that regulate KG in the nucleus, defining an inter-organelle pathway in which sequential mitochondrial activities of the GPT2 transaminase and SLC25A11 transporter supply nuclear KG. Using a mouse model of GPT2 deficiency, a human inborn error of metabolism, we found that this pathway controls chromatin methylation in the developing brain. Our work provides a tool to assess KG signaling to chromatin and a framework for leveraging forward genetics to study nuclear metabolite pools.

synthetic biology↗

Human blood vessel organoids recapitulate key mechanisms of transition from vasculopathy to fibrosis in systemic sclerosis

Systemic sclerosis (SSc) is an autoimmune disease that transitions from vasculopathy as an initiating pathogenic event to tissue fibrosis. The mechanisms of these transitions remain, however, poorly understood, mainly because complex multicellular human models of SSc vasculopathy are lacking. Here we characterized blood vessel organoids (BVOs) as a novel model system of vasculopathy in SSc. We demonstrate that exposure of SSc-BVOs to SSc serum triggers changes on epigenetic, mRNA and protein levels and recapitulates key pathogenic features of SSc vasculopathy, with shifts from angiogenic endothelial cell subsets to those undergoing endothelial-to-mesenchymal transition, loss of endothelial cells-pericytes interactions and profound angiogenic defects. The genetic predisposition of SSc donors and serum IgGs are required for the deleterious effects of SSc serum. We further validate SSc-BVOs as a human model system to evaluate candidate therapies targeting SSc microvasculopathy and use this system to provide evidence that {gamma}-secretase inhibition is a potential therapeutic approach.

biophysics↗

Low temperature abolishes human cellular circadian rhythm through Hopf bifurcation

Circadian clocks orchestrate behavior, physiology, and metabolism in harmony with the Earths 24-h cycle. Low temperatures are known to disrupt circadian clocks in plants and poikilotherms; however, their effects on human circadian rhythms remain poorly understood. Here, we demon-strate that cold exposure abolishes the circadian rhythm in cultured human cells through diminishing the oscillation amplitude, which was restored upon rewarming. In addition, the oscillation amplitude of the 24-h temperature cycles was enhanced through resonance, reflecting the intrinsic frequency of the circadian clock. From a theoretical perspective, these dynamics correspond to Hopf bifurcation, which is confirmed by a mathematical model for the mammalian circadian clock. In contrast, the circadian amplitude of human hair follicle cells was resistant to temperature changes, indicating robust temperature homeostasis. These findings suggest that Hopf bifurcation in the circadian clock for temperature regulation is shared by homeothermic and poik-ilothermic species.

systems biology↗

Fecal microbiota transplantation mitigates cardiac remodeling and functional impairment in mice with chronic colitis

BackgroundInflammatory bowel disease (IBD) is a chronic inflammatory disorder with significant extraintestinal manifestations, including cardiovascular derangements. However, the molecular mechanisms underlying the cardiac remodeling and dysfunction remain unclear. MethodsWe investigated the effects of chronic colitis on the heart using two mouse models: DSS-induced colitis and Il10-/-spontaneous colitis. Echocardiography was employed to assess heart function and molecular characterization was performed using bulk RNA-sequencing, RT-qPCR, and western blot. ResultsBoth models exhibited significant cardiac impairment, including reduced ejection fraction and fractional shortening as well as increased collagen deposition, inflammation, and myofibril reorganization. Molecular analyses revealed upregulation of fibrosis markers (i.e. COL1A1, COL3A1, Fibronectin) and {beta}-catenin reactivation, indicating a pro-fibrotic cardiac environment. Each model yielded common upregulation of eicosanoid-associated and inflammatory genes (Cyp2e1, Map3k6, Pck1, Cfd), and model-specific alterations in pathways regulating cAMP- and cGMP-signaling, arachidonic and linoleic acid metabolism, Cushing syndrome-related genes, and immune cell responses. DSS colitis caused differential regulation of 232 cardiac genes, while Il10-/- colitis yielded 105 dysregulated genes, revealing distinct molecular pathways driving cardiac dysfunction. Importantly, therapeutic fecal microbiota transplantation (FMT) restored heart function in both models, characterized by reduced fibrosis markers and downregulated pro-inflammatory genes (Lbp and Cdkn1a in Il10-/- mice and Fos in DSS mice), while also mitigating intestinal inflammation. Post-FMT cardiac RNA-sequencing revealed significant gene expression changes, with three altered genes in DSS mice and 67 genes in Il10-/- mice. Notably, Il10-/- mice showed relatively less cardiac recovery following FMT, highlighting IL-10s cardioprotective and anti-inflammatory contribution. ConclusionsOur findings elucidate novel insights into colitis-induced cardiac remodeling and dysfunction and suggest that FMT mitigates cardiac dysfunction by attenuating systemic inflammation and correcting gut dysbiosis. This study underscores the need for further evaluation of gut-heart interactions and microbiome-based therapies to improve cardiovascular health in IBD patients. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=119 SRC="FIGDIR/small/643179v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@13d79eaorg.highwire.dtl.DTLVardef@10f28a7org.highwire.dtl.DTLVardef@35f4b0org.highwire.dtl.DTLVardef@538d7e_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Harnessing Generative Pre-trained Transformer for Antimicrobial Peptide Generation and MIC Prediction with Contrastive Learning

Antimicrobial peptides (AMPs) have garnered considerable attention due to their reduced likelihood of inducing resistance in pathogens compared to traditional antibiotics, which has spurred the interest in de novo design of AMPs. Despite the availability of various methods, accurately generating AMPs and predicting their inhibitory effects remains a challenging task. In this work, we introduce AMPCLGPT, a novel approach that leverages contrastive learning and generative pre-training for AMP design and minimum inhibitory concentration (MIC) prediction. First, AMPCLGPT is pre-trained on a large-scale unlabeled peptide dataset to learn peptide sequence patterns and enhance its ability to extract powerful representations. Second, the pre-trained AMPCLGPT is fine-tuned on AMP data with contrastive learning to increase the distance between antimicrobial and non-antimicrobial peptides in the latent space, improving its ability to accurately generate AMPs. Additionally, the pre-trained AMPCLGPT is fine-tuned to predict MIC values based on the learned peptide features. Empirical results demonstrate that our model can effectively generate AMPs and accurately predict their MIC values. By integrating these two capabilities, AMPCLGPT enables fully automated design of AMPs with low MIC values. AMPCLGPT represents a significant advancement in the field of AMP research, potentially accelerating the development of potent AMP-based therapeutics.

bioinformatics↗

M&uumlller glial Kir4.1 channel Dysfunction in APOE4-KI model of Alzheimer's disease

Alzheimers disease (AD), particularly late-onset AD (LOAD), affects millions worldwide, with the apolipoprotein {varepsilon}4 (APOE4) allele being a significant genetic risk factor. Retinal abnormalities are a hallmark of LOAD, and our recent study demonstrated significant age-related retinal impairments in APOE4-knock-in (KI) mice, highlighting that retinal impairments occur before the onset of cognitive decline in these mice. Muller cells (MCs), key retinal glia, are vital for retinal health, and their dysfunction may contribute to retinal impairments seen in AD. MCs maintain potassium balance via specialized inwardly rectifying K+ channels 4.1 (Kir4.1). This study posits that Kir4.1 channels will be impaired in APOE4-KI, resulting in MC dysfunction. Additionally, we demonstrate that MC dysfunction in APOE4-KI stems from alterations in mitochondrial dynamics and oxidative stress. Kir4.1 expression and function were studied using immunofluorescence and through the whole-cell voltage clamp, respectively. In parallel, rat Muller cells (rMC-1) were used to create an in vitro model for further mechanistic studies. Mitoquinol (MitoQ) was used to evaluate its potential to mitigate APOE4-induced deficits. APOE4 retinas and APOE4-transfected rMC-1 significantly reduced Kir4.1 expression, K+ buffering capacity, and increased mitochondrial damage. APOE4-transfected rMC-1 showed reduced mitochondrial membrane potential ({Delta}{Psi}m) and increased mitochondrial reactive oxygen species (ROS). MitoQ treatment significantly reduced mitochondrial ROS and restored Kir4.1 expression in APOE4-expressing cells. Our results demonstrate that APOE4 causes mitochondrial dysfunction and MC impairment, which may contribute to retinal pathology in AD. MitoQ restored mitochondrial health and Kir4.1 expression in APOE4-expressing rMC-1, suggesting targeting mitochondria may offer a promising therapeutic strategy for AD. Main PointsO_LIAPOE4 impairs Muller cell health by reducing Kir4.1 expression and buffering. C_LIO_LIAPOE4 causes mitochondrial dysfunction with decreased {Delta}{Psi}m and increased ROS. C_LIO_LIMitoQ restores Kir4.1 expression and reduces ROS in APOE4-transfected cells. C_LI

neuroscience↗

A Theory of Heterosis

Heterosis refers to the superior performance of a hybrid over its parents. It is the basis for hybrid breeding particularly for maize and rice. Genetically it is due to interactions between alleles of quantitative trait loci (QTL) (dominance and epistasis). Despite enormous interest and efforts to study the genetic basis of heterosis, the relative contribution of dominance vs. epistasis to heterosis is still not clear. This is because most published studies estimate QTL effects in pieces, not able to put them together to assess the overall pattern adequately. We propose a theoretical framework that focuses on the inference of the relationship between genome and traits that includes the identification of multiple QTL and estimation of the whole set of QTL (additive, dominant, and epistatic) effects. Used for heterosis, it gives a clear genetic definition and interpretation of heterosis. We applied the theory and methods to a large maize dataset with a factorial design of many male and female inbred lines and their hybrid crosses. Heterosis of ear weight in maize is primarily due to QTL dominant effects, many are over-dominant. The contribution to heterosis due to epistasis is small and diffused. For comparison, we also analyzed a rice dataset that is an F2-type population derived from a cross between two inbred lines. The result indicates that dominance is still the main contributor to heterosis, and epistasis contribution is small. Article SummaryWe propose a general theoretical framework to analyze and interpret quantitative trait genetic variation in a population through the identification of quantitative trait loci (QTL) and the estimation of QTL effects including interactions. Applied to a large genomic study in maize, we produce direct estimation of genetic contribution to heterosis--QTL dominance and epistasis and compare them to the observed heterosis. The evidence is clear that the heterosis of ear weight in maize is primarily due to QTL dominance. The contribution to heterosis due to QTL epistasis is relatively small and diffused.

genetics↗

Clonal relationships between Tph and Tfh cells in patients with SLE and in murine lupus

Pathologic T cell-B cell interactions drive disease in systemic lupus erythematosus (SLE). The T cells that activate B cell responses include T peripheral helper (Tph) and T follicular helper (Tfh) cells, yet the developmental and clonal relationships between these B cell-helper T cell populations are unclear. Here we use T cell receptor (TCR) profiling to demonstrate substantial clonal overlap between Tph and Tfh cells in the circulation of patients with SLE. Expanded Tph and Tfh cell clones persist over the course of 1 year in patients with a new diagnosis of SLE, and clones are observed to shift both from Tfh to Tph cells and from Tph to Tfh cells over time. High resolution analysis of cells sorted as Tph cells (CXCR5- PD-1hi) from SLE patients revealed considerable heterogeneity among these cells and highlighted a subpopulation of cells with transcriptomic features of activated B cell-helper T cells. This cell population, marked by expression of TOX and CXCL13, was found in both sorted Tph and Tfh cells, and was clonally linked in these two populations. Analysis of B cell-helper T cells in murine pristane-induced lupus demonstrated similar populations of Tph and Tfh cells in both lung and spleen with strong clonal overlap. T cell-specific loss of Bcl6 prevented accumulation of Tfh cells and reduced accumulation of Tph cells in pristane-treated mice, indicating a role for Bcl6 in the survival and expansion of both populations. Together, these observations demonstrate a shared developmental path among pathologically expanded Tph and Tfh cells in SLE. The persistence of expanded Tph and Tfh cells clones over time may explain the lack of stable tolerance induction by immunosuppressive medications or by B cell depletion.

immunology↗

Fast and accurate modeling of TCR-peptide-MHC complexes using tFold-TCR

Alpha-beta T cell receptor ({beta}TCR) recognition of peptide-major histocompatibility complexes (pMHCs) is a corner- stone of the adaptive immune system. Fast and accurate modeling of TCR-pMHC structures is crucial for understanding TCR recognition of pMHCs at the molecular level, which is essential for the development of TCR-based therapeutics and vaccines. Despite significant interest, this challenge remains unresolved due to the diversity of TCR-pMHC interactions and limited structural data. Here, we present tFold-TCR, a high-throughput, end-to-end universal model for predicting three-dimensional (3D) atomic-level structures of TCR-pMHC complexes, capable of predicting TCRs of different classes and MHC structures from diverse systems. tFold-TCR leverages a specially trained, protein-protein interaction-sensitive large protein language model to extract intra- and inter-chain residue contact information and evolutionary relationships, bypassing the need for multiple sequence alignment (MSA) searches. It also features innovative structure prediction and flexible docking modules to enhance accuracy, particularly for interacting contacts. Compared to existing methods, including AlphaFold-3, tFold-TCR demonstrates a 30.7% increase in prediction success rate evaluated by DockQ and is over 25 times faster. These advancements enable large-scale structural characterization of TCRs and their interactions with pMHCs. Utilizing this capability, we constructed TCRStructDB, the largest database of TCR-pMHC structures to date, encompassing 2.2 million TCRs, 0.8 million pMHCs, and 45,000 TCR-pMHC complexes. TCRStructDB provides unprecedented insights into one of the most diverse receptor-ligand interactions in biology.

bioinformatics↗

Antidepressants promote developmental-like plasticity through remodeling of extracellular matrix

Antidepressants are widely used to treat mood and anxiety disorders, yet the cellular and molecular mechanisms underlying their therapeutic effects remain poorly understood. Here, we show that the selective serotonin reuptake inhibitor (SSRI) fluoxetine rejuvenates the dentate gyrus (DG) by reactivating a latent developmental plasticity program in mature neurons, which is required for re-engaging critical period-like synaptic remodeling and antidepressant-like behavioral effects. Single nuclei transcriptomic profiling across all hippocampal cell types revealed a strikingly selective response in the DG, where mature neurons re-engaged a developmental-like transcriptional state, an effect distinct from adult neurogenesis. Chronic fluoxetine treatment induced expression of SOX11, a developmental transcription factor involved in neurodevelopment and axonal regeneration that is normally silenced in the adult brain. Reactivation of SOX11 in mature DG neurons was necessary for both the antidepressant-like behavioral effects of fluoxetine and the re-engagement of critical period-like synaptic remodeling. Notably, SOX11 reactivation was also induced by physiological stimuli, including environmental enrichment and peripheral axon regeneration, suggesting that mature neurons retain access to a conserved developmental plasticity program throughout adulthood. We further identified evidence of this form of developmental plasticity in the adult human brain, an effect distinct from adult neurogenesis. At the structural level, fluoxetine remodeled novel extracellular matrix (ECM) structures within the DG distinct from canonical perineuronal nets, and targeted ECM degradation was sufficient to reactivate SOX11 in mature neurons, identifying the ECM as a key regulator of neuronal rejuvenation. Altogether, these findings demonstrate that mature neurons retain an intrinsic capacity to re-engage dormant developmental programs, and that antidepressants harness this regenerative plasticity to drive neural circuit remodeling and antidepressant-like effects.

neuroscience↗

Hepatic fructose metabolism is antagonized by growth hormone/insulin-like growth factor signaling via regulation of ketohexokinase expression

Overconsumption of added sugars such as fructose has been associated with a remarkable decline in metabolic health. Fructose is primarily metabolized by the small intestines and the liver, via phosphorylation mediated by ketohexokinase (KHK). KHK activity is traditionally viewed as lacking negative feedback mechanisms, such as those present to limit glucose metabolism, leading to excessive fat accumulation characteristic of metabolic dysfunction-associated liver disease (MASLD). In this study, we observe KHK downregulation in hepatocytes of diet-induced and genetic models of MASLD. Reduced KHK coincides with decreased flux of fructose-derived carbons into glycolytic and amino acid metabolic pathways, suggesting the presence of mechanisms that limit KHK-mediated fructolysis in the liver. We subsequently focused on the growth hormone (GH)/insulin-like growth factor (IGF) signaling pathway as a potential mechanism antagonizing KHK expression. In transgenic mice with enhanced GH signaling, KHK levels are reduced, whereas reduced GH activity leads to increased KHK expression. Additionally, administration of GH and IGF-1 in liver cell cultures induces time-dependent degradation of KHK, facilitated by direct interactions between KHK and the IGF-1 receptor (IGF-1R). Single-nuclei RNA sequencing revealed elevated IGF-1R expression in hepatocytes from diet-induced MASLD mice, supported by human MASLD patient samples, which also show reduced KHK expression. Taken together, these findings describe a novel pathway by which GH/IGF-1 signaling regulates KHK, offering new insights into how the liver adapts to metabolic stress to limit fructose-driven liver dysfunction.

molecular biology↗

A novel SARS-CoV-2-derived infectious vector system

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of COVID-19. The development of antiviral drugs for COVID-19 has been hampered by the requirement of a biosafety level 3 (BSL3) laboratory for experiments related to SARS-CoV-2, and by the lack of easy and precise methods for quantification of infection. Here, we developed a SARS-CoV-2 viral vector composed of all four SARS-CoV-2 structural proteins constitutively expressed in lentivirally transduced cells, combined with an RNA replicon deleted for SARS-CoV-2 structural protein genes S, M and E, and expressing a luciferase-GFP fusion protein. We show that, after concentrating viral stocks by ultracentrifugation, the SARS-CoV-2 viral vector is able to infect two human cell lines expressing receptors ACE2 and TMPRSS2. Both luciferase activity and GFP fluorescence were detected, and transduction was remdesivir-sensitive. We also show that this vector is inhibited by three type I interferons (IFN-I) subtypes. Although improvements are needed to increase infectious titers, this vector system may prove useful for antiviral drug screening and SARS-CoV-2-related investigations.

microbiology↗

CBAM-ResNet34-based classification and evaluation method for developmental processes of greenhouse strawberries

Strawberries, known for their economic significance and rich nutritional value, are cultivated extensively worldwide. However, a host of workers need to be employed every year to identify and categorize the developmental stages of the strawberries in the greenhouses, which is not only time-consuming, inefficient, increasing the cultivation cost, but also difficult to guarantee the classification accuracy. Meanwhile, affected by the complicated background, occlusions, and color interference, the features of strawberries are proven challenging to be extracted via the traditional neural networks due to serious gradient disappearance. Therefore, an improved CBAM-ResNet34- based classification evaluation method for developmental processes of greenhouse strawberries is investigated. The procedure of this method is as follows: firstly, the developmental stages of greenhouse strawberries are classified by experts into four stages: Stage I (initial stage), Stage II (green and white fruit stage), Stage III (early ripening stage), and Stage IV (fully ripe stage). The 627, 640, 604, and 340 strawberry images for these four stages are captured. Subsequently, the images are divided into training, validation, as well as testing sets and then undergo image pre- processing, expansion, and augmentation. Whereafter, the 7x7 convolution kernel in the first layer of the network is replaced by three consecutive 3x3 convolution cores to eliminate the redundant weights and unnecessary model parameters, and the BasicBlocks configuration is adjusted. Finally, the CBAM attention mechanism is added to each BasicBlock so as to pinpoint the spatial position of the strawberries and extract their major features such as shape, size, and color. Comparison experiments with the conventional deep neural networks LeNet5, AlexNet, VGG16, ResNet18, ResNet34, and every improved part of CBAM-ResNet34 demonstrated that when the learning rate is 0.001, the Dropout rate is 0.3, and the Adams weight decay parameter is 0.001, the accuracies for validation and testing sets can reach to 92.36% and 87.56% with F1 scores of 0.92, 0.87, 0.85 and 0.88.

plant biology↗

Atheroprone Flow Activates SMAD-FOXO1 to drive Endothelial-to-Mesenchymal Transition and Atherosclerosis

BackgroundCardiovascular diseases are the leading cause of death worldwide with atherosclerosis as the main underlying pathology. A hallmark of atherosclerotic lesion formation is endothelial-to-mesenchymal transition (EndoMT) triggered by perturbed blood flow patterns at arterial bifurcations and curvatures. SMAD transcription factors (TFs), activated by bone morphogenetic protein (BMP) 9/10 or transforming growth factor beta (TGF{beta}) signaling, are indispensable for endothelial homeostasis. Yet, they also play a significant role in stimulating EndoMT. How different interacting co-factors mediate the shift towards a pathological SMAD response remains elusive. MethodsWe generated endothelial cell (EC)-specific SMAD1/5 or SMAD2/3 knock-out mice and performed assay for transposase accessible chromatin sequencing (ATAC-Seq) of EC nuclei from regions of atheroprone (aortic arch) and atheroprotective (descending thoracic aorta) flow to identify transcriptional co-regulators of SMADs. We validated this using single-cell (sc)ATAC-Seq and immunofluorescence staining data from wild-type mice. To assess conservation of our findings for the human situation, we performed co-immunoprecipitation and proximity ligation assays in human aortic ECs (HAoECs). We exposed HAoECs to pathological or physiological (i.e. oscillatory or pulsatile) flow and performed ATAC- and RNA-Seq. Next, transcriptomic and chromatin accessibility data were integrated and motif enrichment and TF footprinting analysis were performed. Finally, we used siRNA-mediated approaches, TF inhibition, and luciferase-based reporter gene assays to analyze the transcriptional response of target TFs and explored their presence in plaques of atheroprone low-density lipoprotein receptor-deficient mice. ResultsWe observed enrichment of FOXO TF family motifs in DNA loci with increased accessibility in response to atheroprone flow in vitro and in vivo. These motifs were associated with genes displaying enhanced mRNA expression. We observed that FOXO motifs are enriched in peaks lost upon EC-specific SMAD KO in mice. We identified SMADs and FOXO1 as interacting partners that form complexes upon atheroprone flow stimulation. Inhibitor experiments revealed that FOXO1 and SMADs mediate EndoMT upon atheroprone flow exposure by upregulating SNAI2. ConclusionWe identified SMAD/FOXO1 complexes that mediate EndoMT in response to atheroprone flow. Targeting this interaction can potentially reduce atherosclerotic burden by interfering with pathological flow-induced EndoMT and thus disease progression.

genomics↗

Cardiac Reprogramming with Drug Resistance Alleviates Doxorubicin-induced Cardiotoxicity in Mice and Pigs

Doxorubicin (Dox)-induced cardiotoxicity represents a significant clinical adverse effect associated with cancer chemotherapy treatment. The systematic toxicity associated with the currently available drug dexrazoxane has limited its clinical utility. Inspired by cancer drug resistance mechanisms, we propose a novel strategy termed Transient overexpression of p-glycoprotein (P-gp) for Cardiac reprogramming (TopCare) to induce cardiac drug resistance as a treatment for cardiotoxicity. This approach involves reprogramming cardiomyocytes by delivering lipid nanoparticles (LNPs)-based mRNA therapeutics to induce temporary P-gp overexpression, which in turn reduces intracellular Dox levels and suppresses cytotoxic effects. Our results demonstrated that LNPs with P-gp mRNAs (P-gp LNPs) enhance P-gp expression in H9c2 cells, significantly lowering the cytotoxicity of both Dox and paclitaxel (PTX). In a mouse model with Dox-induced cardiotoxicity, it was observed that P-gp LNPs effectively promoted P-gp overexpression in cardiomyocytes, with a time-dependent decline in P-gp protein levels. This TopCare strategy resulted in improved survival rates, restored cardiac function, and reduced myocardial fibrosis and structural cardiac alterations. Furthermore, studies in large animals have shown that intrapericardial (iPC) injection of P-gp LNPs effectively mitigates adverse effects and restores cardiac function in pig models of Dox-induced cardiotoxicity. The significant cardioprotective effects achieved through cardiac drug resistance highlight the safety, efficacy, and clinical potential of the TopCare strategy for alleviating doxorubicin-induced cardiotoxicity.

bioengineering↗