Biology subjects

He, J.

Publications and source records attributed to He, J..

At least 163 records · Page 9Linked to original sources

bioRxiv2024

Enalapril mitigates aging by targeting antioxidative genes via phosphorylated Smad1/5/9

Aging increases the risk of a myriad of chronic diseases, which are expensive and difficult to treat owing to their various risk factors. Repurposing existing medications has accelerated the development of therapies aimed at slowing aging. In this study, we revealed that enalapril, a drug widely prescribed for hypertension, can improve both cellular senescence and individual health. Mechanistically, phosphorylated Smad1/5/9 act as pivotal mediators of the anti-senescence properties of enalapril. It stimulates downstream genes involved in cell cycle regulation and antioxidative defense, facilitating cell proliferation and diminishing the production of reactive oxygen species (ROS), thus increasing the antioxidative ability of enalapril. At the organismal level, enalapril has been shown to bolster the physiological performance of various organs; it notably enhances memory capacity and renal function and relieves lipid accumulation. Our work highlights the potential of enalapril to augment antioxidant defenses and combat the effects of aging, thereby indicating its promise as a treatment strategy for aging-associated diseases and its use for healthy aging.

cell biology↗

bioRxiv2024

In-silico modeling and interpretation of RBP binding disentangle m6A-RBP interaction

RNA binding protein (RBP) binding and N6-methyladenosine (m6A) are both essential post-transcriptional regulatory layers for RNA fate decisions. However, the intricate mechanism underlying the interaction between m6A and RBP binding remains underexplored. Here, we develop TransRBP, an interpretable deep learning framework, to model the base-resolution binding of RBPs from RNA sequences and to subsequently investigate the interaction between m6A and RBPs. TransRBP achieves a median accuracy of 0.59 across 32 m6A-related RBPs, representing a 28% increase over the state-of-the-art model. Using gradient-based interpretation, we demonstrate that the binding motifs of the m6A-related RBPs strongly enrich for splicing consensus, laying a foundation for studying the RBP-dependent crosstalk between m6A and splicing. Moreover, we develop an in-silico mutagenesis assay to assess the impact of m6A on RBPs, and utilize the self-attention mechanism to elucidate the interplay between RBP binding and m6A. We further uncover 1,806 variant-RBP combinations with the in-silico mutagenesis, revealing variants that strongly alter RBP binding for genetic diseases including Parkinsons disease, autism, and cardiomyopathy. In particular, we identify m6A cis-acting variants that alter RBP binding in an m6A-proximal manner, including the binding of UPF1 that contributes to Alzheimers disease, and the DDX3X binding to cardiomyopathy and muscular dystrophy. Together, TransRBP accurately models the binding of RBP and its interaction with m6A, shedding light on the m6A-RBP dynamics and providing multi-layer mechanistic insights for genetic diseases.

bioinformatics↗

bioRxiv2024

Molecular mechanism of Na+/H+ antiporting in NhaA

Sodium-proton antiporter NhaA of Escherichia coli is a paradigm to investigate the mechanistic basis of the fundamental Na+/H+ exchange in cells. However, all existing crystal structures of NhaA are inward-facing (IF) and the putative outward-facing (OF) structures are still unsolved by experiment, limiting a complete understanding of the transport cycle where Lys300 plays a key role in both structural stability and transport function. Here, we report a set of regular molecular dynamics (MD) simulations that start from the structure predicted by an artificial intelligence method that generates function-relevant alternative conformations. It is found that NhaA rapidly relaxes into either the IF or OF conformation. Further-more, neutralization of Lys300 allows two sodium ions bound to the reaction cavity, which is associated with enhanced conformational sampling. Based on these observations, we propose a sodium-coupled mechanism of Na+/H+ antiporting.

biophysics↗

bioRxiv2024

Astrocyte-specific secretome profiling reveals its correlation with neurological disorders

Secreted proteins mediate intercellular communication throughout the lives of multicellular organisms. However, due to the lack of new technology for secreted protein capturing, the progress of "secretomics lags behind. Here, we report a two-step secretome enrichment method (tsSEM) combining unnatural amino acid labeling and click chemistry-based biorthogonal reaction, which enables in vitro secretome profiling in the presence of serum. Using this novel method, we systematically investigated the secretome of human iPSCs-derived astrocytes (iAst) in different disease models and identified a panel of astrocyte-secreted proteins that are responsible for its non-cell autonomous toxicity under disease conditions. Furthermore, we validated two astrocytes-derived novel neurotrophic proteins, FAM3C and KITLG, which we identified from disease models, and found that they could boost neurite outgrowth, protect neurons, and promote neural progenitor proliferation. Our study highlights the utility of secretome profiling of iAst and demonstrates its applications in disease study and target identification and validation in drug development.

neuroscience↗

bioRxiv2024

Unbiased profiling of multipotency landscapes reveals spatial modulators of clonal fate biases

The proportion of cell types varies systematically across the body, but it remains unclear how individual progenitor cells integrate positional information to establish patterns of cellular composition. In this study we profile the clonal landscape of the embryo, using single-cell lineage tracing of mouse embryos from neurulation until mid-gestation. To analyze the complex clonal patterns derived from highly multipotent progenitors, we developed clone2vec, which uses unsupervised learning to categorize individual clones into lineages based on shared transcriptional context. This revealed a body-wide gradient of clonal fate biases, in which anatomical position and clonal composition are mutually predictive. Comparison of clonal lineages revealed spatial transcription factor programs associated with dynamic cell biasing towards skeletal versus non-skeletal fates. Mosaic combinatorial perturbations targeting the Hedgehog pathway generated clones in which positional identity was mismatched with clonal composition, suggesting a potential signaling influence on somite patterning. We explore the effects of position and heterochrony on fate biases in cranial, trunk, and caudal neural crest clones. Altogether, our work demonstrates an effective practical approach for dissecting mechanisms of lineage specification.

developmental biology↗

bioRxiv2024

Rapid wing size evolution in African fig flies (Zaprionus indianus) following temperate colonization

Invasive species often encounter novel selective pressures in their invaded range, and understanding their potential for rapid evolution is critical for developing effective management strategies. Zaprionus indianus is an invasive drosophilid native to Africa that reached Florida in 2005 and likely re-establishes temperate North American populations each year. We addressed two evolutionary questions in this system: first, do populations evolve phenotypic changes in the generations immediately following colonization of temperate environments? Second, does Z. indianus evolve directional phenotypic changes along a latitudinal cline? We established isofemale lines from wild collections across space and time and measured twelve ecologically relevant phenotypes, using a reference population as a control. Z. indianus evolved smaller wings following colonization, suggesting early colonizers have larger wings, but smaller wings are favorable after colonization. No other phenotypes changed significantly following colonization or across latitudes, but we did see significant post-colonization changes in principal components of all phenotypes. We documented substantial laboratory evolution and effects of the laboratory environment across multiple phenotypes, emphasizing the importance of controlling for both possibilities when conducting common garden studies. Our results demonstrate the potential for rapid adaptation in Z. indianus, which could contribute to its success and expansion throughout invaded ecosystems.

evolutionary biology↗

bioRxiv2024

Identification of Stress-induced miRNA of Microbial flora, networking, expression with chronic rhinosinusitis (CRS)

All age groups are affected by one of the most prevalent chronic medical disorders globally: chronic rhinosinusitis (CRS). Its estimated incidence is 10.9% in Europe, 13% in China, and 12.3% in the United States. For many years, the 16S rRNA gene has been the backbone of sequence-based bacterial study. Still, it is only recently that the possibility of high-throughput sequencing the entire gene has been feasible. A unique gene regulation mechanism known as "RNA silencing" limits the transcript level by either starting specific RNA degradation or blocking translation. RNA interference (RNAi) is commonly induced by viruses or exogenously produced small interfering RNAs. Small RNAs like these have been utilized in biomedical research to specifically silence genes. The purpose of a short hairpin RNA is to create interference by inserting an artificial RNA molecule with a hairpin or loop-like structure into a specially designed siRNA. Every stage of life, including cell development, metabolism, the cell cycle, and signal transmission, depends on gene regulatory networks. Total fifteen mRNAs of 16SrRNA gene examined, siRNA regions is unique and isolated through 3 to 5 position nucleotide. Networking of both genes lies varieties of path in human being, so early to utilized siRNA technique to silence the effect of 16SrRNA gene in CRS illness. The gene encoding 16S rRNA has around ten target sites that siRNAs can attach to. The siRNAs are made to be complementary sequences to each of the target sites. Verify the 16S rRNA gene expression in CRS illness and other types across the body. Since a cystic fibrosis transmembrane conductance regulator (CFTR) mutation causes CRS illness, we isolated a mutant form of CFTR with an accession ID of 1XMJ and 16S rRNA protein quotes in 8SR6. Examine the two proteins interaction (1xmj, 8sr6) describe the inhibition of CRS illness through new way. Utilizing in-vitro exploratory approaches, both this computational study of siRNA and protein-protein interaction may be employed further to verify efficacy and appropriateness.

bioinformatics↗

bioRxiv2024

TLL1 knockdown attenuates prostate cancer progression by enhancing antitumor immunity

Due to the inevitable progression to castration-resistant prostate cancer (CRPC) following treatment with androgen deprivation therapy (ADT), it is essential to develop novel treatment approaches for managing CRPC. Here we showed that metalloproteinase TLL1 was positively associated with prostate cancer aggressiveness. Mechanistically, TLL1 promoted prostate cancer cells migration and metastasis through cleaving latent TGF-{beta}1 to activate TGF-{beta} signaling pathway. Moreover, LINC01179 interacted with Miz1 to attenuate TLL1 expression and LINC01179 impaired prostate cancer cell proliferation and migration ability by suppressing TLL1 expression to deactivate TGF-{beta} signaling activity. Meanwhile, we observed that TLL1 increased the expression of PD-L1 by activating TGF-{beta} signaling pathway and TLL1 depletion enhanced the antitumor efficacy by anti-PD-1 antibody via augmenting the infiltration proportions of CD8+ T cells in tumors. In addition, T cell-specific overexpression of TLL1 disrupted T cell development in the thymus. TLL1 overexpression in T cells accelerated RM-1 prostate tumor growth in mice by decreasing the infiltration of CD8+ T cells into tumors. Collectively, our results revealed that TLL1 may be a potential therapeutic target to alter prostate cancer progression.

cancer biology↗

bioRxiv2024

Geographic-specific Diversification of Vaginal Microbiota in China

The vaginal microbiota is pivotal to womens reproductive health, with significant geographic and ethnic heterogeneity suggesting evolutionary adaptations to environmental, climatic, and lifestyle factors. In this multi-centric study, we analyzed vaginal microbiome samples from women across five provinces in China, each characterized by distinct climatic, ethnic, and lifestyle traits. Our results indicate that the vaginal microbiota among Chinese women is characterized by low alpha diversity, with Lactobacillus crispatus being the dominant species in Community State Type (CST) I, especially in the northern regions. While most participants exhibited stable CSTs throughout their menstrual cycles, fluctuations were observed in some individuals. We also detected low-abundance bacterial species such as Fannyhesea vaginae and Sneathia vaginalis. Comparative genomic analysis of high-quality metagenome-assembled genomes of L. crispatus revealed minimal single nucleotide polymorphism (SNP) variations within individuals but substantial diversity between individuals, delineating a distinct separation between vaginal-associated populations (VAP) and gut-associated populations (GAP). These findings highlight the intricate dynamics of the vaginal microbiome, which are markedly influenced by geographic and individual determinants. This study offers an in-depth phylogenetic and genomic analysis of the vaginal microbiota among Chinese women, underscoring the imperative for further research into the impact of regional and individual variations on microbial community composition. Such knowledge could facilitate the development of personalized vaginal health management strategies that accommodate the unique microbiome profiles specific to different geographical regions. ImportanceThis study provides a groundbreaking analysis of the vaginal microbiota among Chinese women, offering insights into the population structure and evolutionary dynamics of this critical component of womens reproductive health. The research reveals that Lactobacillus crispatus, a key species in vaginal health, has a recent evolutionary emergence and exhibits significant geographic variation in prevalence, being more common in northern China. This discovery, along with the identification of distinct vaginal-associated and gut-associated populations, underscores the importance of understanding the vaginal microbiotas complexity. The findings have profound implications for developing personalized strategies to manage vaginal health, tailored to regional microbiome characteristics. This work not only advances our understanding of the vaginal microbiotas role in health and disease but also sets the stage for future research into the factors that shape microbial community structures across diverse populations.

microbiology↗

bioRxiv2024

A unified central thalamus mechanism underlying diverse recoveries in disorders of consciousness

Disorders of consciousness (DoC) encompass a range of states characterized by prolonged altered awareness due to heterogeneous brain damage and are associated with highly diverse prognoses. However, the neural mechanisms underlying such diverse recoveries in DoC remain unclear. To address this issue, we analysed neuronal spiking activities recorded from the central thalamus (CT), a key hub in arousal regulation, in a cohort of 23 DoC patients receiving deep brain stimulation treatment. Using machine learning techniques, we identified a core set of electrophysiological features of the CT, particularly the theta rhythm, that could account for individual recovery outcomes across highly varied etiologies (trauma, brainstem hemorrhage, and anoxia), clinical baselines and patient ages. These features also correctly identified one subgroup of patients who exhibited poor initial clinical manifestations but recovered unexpectedly. Simulating a conductance-based model further revealed the neurodynamics of the theta rhythm in the CT during different stages of consciousness recovery. Taken together, these findings uncover a previously unknown, unified CT mechanism that governs the recoveries in DoC.

neuroscience↗

bioRxiv2024

Cocaine, via ΔFosB, remodels gene expression and excitability in ventral hippocampus

Ventral hippocampus (vHPC) CA1 pyramidal neurons send glutamatergic projections to nucleus accumbens (NAc), and this vHPC-NAc circuit mediates cocaine seeking and reward, but it is unclear whether vHPC-NAc neuron properties are modulated by cocaine exposure to drive subsequent behavior. The immediate early gene transcription factor {Delta}FosB is induced throughout the brain by cocaine and is critical for cocaine seeking, but its function in vHPC-NAc neurons is not understood. We now show that circuit-specific knockout of {Delta}FosB in vHPC-NAc neurons impaired cocaine reward expression and forced abstinence-induced seeking. We also found that vHPC-NAc excitability was decreased by experimenter-administered repeated cocaine and cocaine self-administration, and this cocaine-induced excitability decrease was mediated by {Delta}FosB expression. To uncover the mechanism of this change in circuit function, we used circuit-specific translating ribosome affinity purification (TRAP) to assess cocaine-induced, {Delta}FosB-dependent changes in gene expression in vHPC-NAc. We found that cocaine causes a {Delta}FosB-dependent increase in the expression of calreticulin, an ER-resident calcium-buffering protein. Calreticulin expression mediated vHPC-NAc excitability and was necessary for cocaine reward. These findings uncover a novel, non-canonical mechanism by which cocaine increases calreticulin in vHPC leading to decreased vHPC-NAc excitability and drives cocaine seeking and reward.

neuroscience↗

bioRxiv2024

Different serotonergic neurons regulate appetite for sucrose and hunger for proteins

For the organism it is important to replenish internal energy storages selectively and selective appetite for nutrients might uncover internal energy requirements. How is the selective uptake of a specific nutrient regulated? Here we show that in Drosophila melanogaster different sets of serotonergic neurons regulate appetite for sucrose and hunger for proteins. Increased neuronal activity in specific subsets of serotonergic neurons and interfering with serotonin reuptake using a mutated serotonin transporter reduced the appetite for sucrose selectively, but not the hunger for proteins. The insulin receptor together with the serotonin transporter regulates the selective sucrose appetite. We provide evidence that the cellular location of the serotonin transporter depends on the insulin receptor. This mechanism might allow optimizing nutrient intake and in turn might prevent overconsumption by repressing appetite for sucrose. Given the conserved nature of the molecules involved it is likely that the mechanism is conserved in higher organisms.

neuroscience↗

bioRxiv2024

Dissecting the Heterogeneity and Tumor-Associated Dynamics of Human Liver Group I ILC via scRNA Sequencing Data

Single-cell transcriptome analysis has made outstanding contributions to the identification of new cell lineages and the study of cancer immune microenvironment. Yet, the characterization of human liver ILC1s and their dynamic changes in the tumor microenvironment have not been thoroughly studied at this detailed level. Here, we performed an integrated analysis of mouse and human liver immune cells to identify human liver ILC1 based on identified mouse liver ILC1 and to verify its functional similarity. Additionally, our findings highlighted the different expression patterns of the EOMES gene in human versus mouse group I ILCs, suggesting its reduced regulatory significance in human liver NK cells and ILC1 compared to murine models. A unique subset of CD127hi intermediate ILCs (intILCs) was identified, exhibiting traits of both human liver NK cells and ILC1. Single-cell sequencing data analysis and TCGA were utilized to characterize the distinct alterations in the genes and functions of NK cells, ILC1, and intILCs in human hepatocellular carcinoma. It was found that the dynamic changes of ILC1 and intILCs, along with some of their subpopulations, may be key factors in tumor progression. This study provided new insights into the identification of ILC1 in human liver and the immunologic changes and mechanism of group I ILCs in the tumor microenvironment, and these findings may be applicable to improving the diagnosis and treatment of hepatocellular carcinoma. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=193 SRC="FIGDIR/small/619932v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@1976bbeorg.highwire.dtl.DTLVardef@228ce4org.highwire.dtl.DTLVardef@4fcdd4org.highwire.dtl.DTLVardef@1522eff_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2024

SCAD Delivery Platform: A Novel Approach for Efficient CNS and Extrahepatic Oligonucleotide Therapeutics

Oligonucleotide therapeutics, including antisense oligonucleotides (ASOs) and duplex RNAs like siRNA, saRNA, and miRNA, hold immense potential for treating genetic and acquired diseases by modulating gene expression in a target-specific manner. However, effective delivery to extrahepatic tissues, particularly the central nervous system (CNS), remains a significant challenge. While GalNAc conjugation has enabled liver-specific delivery, leading to several approved siRNA drugs for hepatic targets, CNS delivery lags. ASOs, on the other hand, can self-deliver to the CNS when administered locally, as seen with nusinersen and tofersen. To address this disparity, weve developed the Smart Chemistry Aided Delivery (SCAD) platform which enables duplex RNA delivery by conjugating it to an accessory oligonucleotide (ACO), which acts as an aptamer to mediate protein binding and facilitate cellular uptake. Through extensive screening, we identified an optimal SCAD architecture that demonstrates enhanced cell-free protein binding and in vitro activity. In rodent models, local administration of SCAD-siRNA conjugates resulted in broad biodistribution throughout the CNS and sustained mRNA knockdown for over five months, with a favorable safety profile. The SCAD platform also exhibited efficient delivery to other tissues, including the eye, the lung and the joint. These features support its potential for broader clinical applications, as evidenced by an ongoing trial targeting amyotrophic lateral sclerosis (ALS) associated with mutations in the SOD1 gene. The modular design of SCAD allows it to easily adapt to any duplex RNA, making it a powerful tool for advancing oligonucleotide therapeutics.

neuroscience↗

bioRxiv2024

Dissecting the Contribution of Transposable Elements to Interphase Chromosome Structure

Transposable elements (TEs) occupy nearly half of the human genome and play diverse biological roles. Despite their abundance, the extent to which TEs contribute to three-dimensional (3D) genome structure remains unclear. To investigate this, we developed te_hic, a computational pipeline that integrates genomic data with chromatin interactions. Our analysis reveals that TE sequences are responsible for 3D genome structure in interphase nuclei. This phenomenon is mediated by the recruitment of specific transcription factors to TEs, which enables both the formation and disruption of chromatin contacts. We computationally identified known contact-forming proteins (CTCF, RAD21, SMC3) and breaking proteins (RNF2), as well as novel candidate contact-formers (SMARCA4, MAFK). Knockdown of the predicted contact-formers SMARCA4 and MAFK decreased contacts and loops at and between TEs. Notably, SMARCA4 knockdown selectively reduced short-range contacts, highlighting its role in maintaining 3D genome structure mediated by TE binding. Overall, our findings demonstrate that TEs are crucial determinants of 3D genome organization in mammalian cells. Key findingsO_LITEs determine 48% of the 3D genome structure alone, and 70% of heterotypic contacts. C_LIO_LIA/B compartments, TADs, and loop signatures can be retrieved using TE-mapped reads only. C_LIO_LITFs can be divided into contact formers and breakers at TEs. C_LIO_LISMARCA4 and MAFK build chromatin contacts between TE sequences. C_LI

cell biology↗

bioRxiv2024

Clinical characteristics, drug-resistance genes and virulence analysis of carbapenem-resistant Klebsiella pneumoniae

OBJECTIVEThe aim was to investigate the clinical infection characteristics, risk factors and convergence of carbapenem-resistant and hypervirulent Klebsiella pneumoniae(hv-CRKP) in our hospital, in order to provide scientific basis for the rational use of antibiotics in the clinic. METHODSCRKP strains were isolated from clinical specimens of 44 patients in central intensive care unit (CICU), neurosurgery intensive care unit (NICU) and emergency intensive care unit (EICU) of our hospital in 41 months. The clinical manifestations of the patients were analyzed, and the hypermucoviscous phenotype was defined by string test. The drug resistance gene, virulence gene and capsular specific serotype of the isolated strains were detected by polymerase chain reaction (PCR) technology, and the gene of CRKP producing KPC enzyme was sequence. RESULTSThe incidence of sepsis in 44 patients with CRKP infection was 25.0%, and the overall treatment failure rate was 38.6%. All the 44 strains of CRKP produced KPC enzyme, and all of them were blaKPC-2 (100%);14 strains (31.8%) were positive in string test; 23 strains (52.3%) were found to have virulence related genes, including 10 strains (22.7%) of rmpA, 16 strains (36.4%) of iucA and 19 strains (43.2%) of peg-344. 5 strains (11.4%) were capsule-specific serotypes and 13 strains (29.5%) were identified as hv-CRKP. CONCLUSIONThe mechanism of CRKP resistance in our hospital is blaKPC-2, the detection rates of virulence gene, string test positive and hypervirulent capsular specific serotype are all relatively high in CRKP, there are not a few Klebsiella pneumoniae with carbapenem-resistant and hypervirulent.

microbiology↗

bioRxiv2024

Nitrogen ionome dynamics on leafy vegetables in tropical climate

Nitrogen is known to be a critical macro-nutrient influencing plant physiology, growth, and mineral composition. In tropical conditions, which are challenging for leafy vegetable farming, the nitrogen delivery effect is unclear. In this study, we aimed to investigate the effect of nitrogen application on key physiological traits and the mineral composition of the plants, the plant ionome. Experiments were conducted under tropical conditions greenhouse with varying levels of nitrogen supply to examine the effect on plant transpiration, yield, use efficiency of water and nitrogen, and nutrient uptake dynamics followed by cross-correlation analysis, trying to understand the physiological behavior-uptake dynamics relationships. The results demonstrated that transpiration, yield and WUE theoretic optimum curve, which peaking in nitrogen concentration of 120 mg/L for Chinese spinach and 200 mg/L for Chinese broccoli. Conversely, NUE reduce significantly with increasing nitrogen delivery which reflected on antagonistic increase of excess nitrogen. In terms of mineral composition, nitrogen application resulted in an increase I nitrogen content in the plant leaf tissue, while concentration of certain macronutrients and micronutrients were affected, including potassium, phosphorus, calcium, magnesium, iron, zinc, and molybdenum. Part of the minerals exhibited decreasing pattern due to potential competitive uptake mechanism, iron revealed increasing pattern that correlated with nitrogen delivery, and some minerals correlated with the measured physiological parameters. These results underscore the importance of optimizing nitrogen fertilization to balance plant growth, physiological processes, and plant nutrient homeostasis. The study offers valuable insights for sustainable nitrogen management in agricultural systems aimed at maximizing crop yield while maintaining nutritional quality.

plant biology↗

bioRxiv2024

Targeting long non-coding RNA RP11-502I4.3 delays the trend of angiogenesis in diabetic retinopathy

Based on our previous findings, we hypothesized that the long non-coding RNA RP11-502I4.3 may be involved in angiogenesis associated with Diabetic retinopathy (DR). We investigated the role of RP11-502I4.3 in DR by examining its regulation of vascular endothelial growth factor (VEGF). We assessed differences in RP11-502I4.3 expression between the normal control group and streptozotocin-induced diabetic rats or high glucose (HG)-stimulated human retinal microvascular endothelial cells (HRMECs). VEGF expression was measured with and without lentiviral vectors overexpressing RP11-502I4.3. We analyzed the structural and functional alterations related to DR. Our analysis revealed that RP11-502I4.3 expression was lower in the retinas of diabetic rats and in HG-stimulated HRMECs compared with normal glucose conditions. Overexpressing of RP11-502I4.3 resulted in decreased VEGF levels. Diabetic rats exhibited retinopathy characterized by thinning of the retinal layer thickness, structural changes in the inner and outer nuclear layers, a reduced count of retinal ganglion cells, and the presence of acellular capillaries. The proliferative activity, migration count, and tube formation ability of HG-treated HRMECs were significantly higher than those of the normal control group; however, these changes were delayed by RP11-502I4.3 overexpression. RP11-502I4.3 downregulation in DR appears to promote angiogenesis.

zoology↗