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G-quadruplexes (G4s) are four-stranded alternative secondary structures formed by guanine-rich nucleic acids and are prevalent across the human genome. G4s are enzymatically resolved using specialized helicases. Previous Show less

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β (Aβ) accumulation, tau hyperphosphorylation, synaptic dysfunction, and chronic neuroinflammation. Current single-target interventions fail to halt disease progression, highlighting the need for multi-target strategies. This study investigates the therapeutic potential and mechanisms of ZuoGui Pill (ZGP), a traditional Chinese medicine formula, in a transgenic AD mouse model. 3xTg-AD mice were treated with ZGP for 60 days. Behavioral performance was assessed using the Morris water maze, novel object recognition, and open field test. Aβ deposition, tau phosphorylation, and synaptic integrity were evaluated via immunohistochemistry, Western blotting, RT-qPCR, and Golgi staining. Neuroinflammation and RAGE/NF-κB signaling were analyzed by ELISA and protein expression profiling. Statistical analyses included ANOVA with post hoc Tukey or Bonferroni tests following Shapiro-Wilk and Bartlett's validation. ZGP significantly improved cognitive performance, reduced hippocampal Aβ deposition and BACE1 expression, and suppressed tau phosphorylation at multiple pathological sites (T205, S396, S404). Synaptic markers (Syn, PSD95) were restored, accompanied by increased dendritic spine density. ZGP also reduced hippocampal IL-1β, IL-6, and TNF-α levels and inhibited the RAGE/p-NF-κB pathway. ZGP exerts multi-target neuroprotective effects in 3xTg-AD mice by modulating Aβ and tau pathologies, preserving synaptic structure, and attenuating RAGE-mediated neuroinflammation. These findings support ZGP as a promising integrative therapeutic strategy for AD. Show less

Immune checkpoint inhibitors (ICIs) have improved clinical outcomes in patients with non-small cell lung cancer (NSCLC) lacking targetable oncogenic alterations. However, their efficacy in individuals with such genomic alterations remains heterogeneous and poorly understood. In detail, certain oncogenic alterations in TP53, EGFR (uncommon mutations), KRAS (G12C), BRAF (non-V600E), MET (amplifications), FGFR1 and FGFR4, actively modify MAPK, PI3K, and STING signaling, thus remodeling tumoral immune phenotype and are associated with high TMB counts, enriched T lymphocyte tumor infiltration, and high expression of antigen-presenting molecules, supporting their consideration as part of the eligibility criteria for ICIs treatment. Nonetheless, other oncogenic alterations are associated with an immunosuppressive TME, low TMB counts, and downregulation of targetable immune checkpoints, in which novel therapeutic approaches are currently being tested to overcome their intrinsic resistance. In this context, this review discusses the fundamental mechanisms by which frequent driver alterations affect ICIs efficacy in patients with NSCLC, and outlines their prognostic relevance in the era of immunotherapy. Show less

Familial hypercholesterolemia (FH) is a genetic disorder characterized by elevated low-density lipoprotein cholesterol (LDL-C) levels, leading to premature cardiovascular disease (CVD). This study aimed to identify genetic variants associated with FH in patients from Telangana State, India. Probands with suspected FH were identified using the Dutch Lipid Clinic Network (DLCN) score, followed by cascade screening of their first-degree relatives. Targeted exome sequencing and pedigree analysis were performed to identify FH-associated genetic variants. We identified both novel and known high-impact mutations in genes implicated in FH pathogenesis, including stop-gain mutations in LPL (6/30; 20%) and LDLR (4/30; 13.3%), as well as splice donor site mutations in SLCO1B1 (1/30; 3.3%) and CETP (3/30; 10%). Notably, a novel frameshift mutation in LDLR was identified in two siblings (2/30; 6.7%), one of whom (50%) exhibited a homozygous variant and met the "Definite FH" classification based on the DLCN criteria. Additionally, moderate-impact variants rs2075291 (APOA5) and rs193922571 (LDLR) showed strong correlations with the DLCN score, suggesting increased susceptibility to FH. In contrast, rs6756629 (ABCG5) and rs11887534 (ABCG8) were strongly negatively correlated with LDL-C levels and the DLCN score, indicating potential protective effects against FH. These findings highlight the genetic heterogeneity of FH and emphasize the importance of identifying novel pathogenic variants. Moreover, the study underscores the role of moderate-impact variants in FH susceptibility. Overall, this research enhances our understanding of the genetic landscape of FH in the Indian population, with implications for improved diagnosis, risk assessment, and personalized management. Show less

Impaired fibroblast growth factor receptor (FGFR) signaling is associated with many human conditions, including growth disorders, degenerative diseases, and cancer. Current FGFR therapeutics are based on chemical inhibitors of FGFR tyrosine kinase activity (TKIs). However, FGFR TKIs are limited in their target specificity as they generally inhibit all FGFRs and other receptor tyrosine kinases. In the search for specific inhibitors of human FGFR1, we identified VZ23, a DNA aptamer that binds to FGFR1b and FGFR1c with a K Show less

The chimeric cytokine IC7Fc conveys the metabolic signaling properties of the glycoprotein 130 receptor cytokines interleukin-6 and ciliary neurotrophic factor via membrane-bound signaling. IC7Fc was previously shown to slow the progression of type 2 diabetes mellitus, and here, we demonstrate its effect on atherosclerotic development. In APOE*3-Leiden.CETP mice, an atherosclerosis-prone model with a humanized lipoprotein metabolism, IC7Fc markedly lowered plasma triglyceride and total cholesterol levels. This was mechanistically explained by an inhibition of de novo lipogenesis in the liver, increased synthesis of bile acids from cholesterol, and down-regulated apolipoprotein B synthesis, which resulted in decreased cholesterol secretion in very low-density lipoprotein particles. As a consequence, IC7Fc treatment considerably reduced atherosclerotic lesion formation and vascular inflammation compared with current antihyperlipidemic therapy. In conclusion, IC7Fc is a promising pharmacological treatment for cardiometabolic diseases targeting hyperlipidemia and inflammation. Show less

Based on the Caco-2 cell heat stress model, the study explored the heat stress preventive regulatory mechanisms of key polyphenol fractions in mung bean by metabolomics and transcriptomics association analysis. Results Mung bean polyphenol intervention before heat stress significantly reduced the elevated expression level of heat shock protein 70 (HSP70) caused by 39 °C temperature. At the metabolic level, mung bean polyphenols could play a role in heat stress regulation by alleviating oxidative stress damage. At the gene level, mung bean polyphenols showed regulation of cell proliferation, differentiation, and DNA damage, with DUSP6 and NEURL3 as key regulatory genes. The correlation analysis showed that nucleotide metabolism, and oxidative phosphorylation metabolism were the key pathways in the regulation of mung bean polyphenols by heat stress. Then mung bean polyphenols can exert heat stress preventive activity through the regulation of cellular oxidative damage and energy metabolism. This study provides a good idea for the research and development of dietary intervention products for heat stress. Show less

Glaucoma is a leading cause of irreversible blindness, normally associated with dysfunction and degeneration of the trabecular meshwork (TM) as the primary cause. Trabecular meshwork stem cells (TMSCs) have emerged as promising candidates for TM regeneration toward glaucoma therapies, yet their molecular characteristics remain poorly defined. In this study, we performed a comprehensive transcriptomic comparison of human TMSCs and human TM cells (TMCs) using RNA sequencing and microarray analyses, followed by qPCR validation. A total of 465 differentially expressed genes were identified, with 254 upregulated in TMSCs and 211 in TMCs. A functional enrichment analysis revealed that TMSCs are associated with development, immune signaling, and extracellular matrix remodeling pathways, while TMCs are enriched in structural, contractile, and adhesion-related functions. A network topology analysis identified Show less

Identification of large scale structural polymorphisms (copy number variations [CNVs]) of more than 50 bp between the individuals of a species would help in knowing genetic diversity, phenotypic variability, adaptability to tropical environment and disease resistance. Read depth-based method implemented in CNVnator was used for calling copy number variant regions on sequenced data obtained from whole-genome sequencing from 15 pooled samples belonging to five draught cattle breeds of Tamil Nadu. A total of 11,605 CNV regions (CNVRs) were observed covering a genome size of 18.63 percent. Among these, 11,459 were restricted to autosomes, consisting of 11,013 deletions, 353 duplications and 93 complex events. These CNVRs were annotated to 4,989 candidate genes. A total of 8,291 numbers of CNVRs were shared among the five cattle breeds as also supported by principal component analysis and STRUCTURE analyses and 1,172 CNVRs were breed-specific. Four out of five selected breed-specific CNVRs were validated using real-time polymerase chain reaction. Genes with CNVRs are related to milk production (BTN1A1, ABCA1, and LAP3), disease resistance (TLR4 and DNAH8), adaptability (SOD1, CAST, and SMARCAL1), growth (EGFR, NKAIN3), reproduction (BRWD1 and PDE6D), meat and carcass traits (MAP3K5 and NCAM1) and exterior (ATRN and MITF) traits. Gene enrichment analysis based on the gene list retrieved from the CNVRs disclosed over-represented terms (p<0.01) associated with milk fat production. NETWORK analysis had identified 13 putative candidate genes involved in milk fat percentage, milk fat yield, lactation persistency, milk yield, heat tolerance, calving ease, growth and conformation traits. The genome-wide CNVRs identified in the present study produced genomewide partial CNV map in indigenous cattle breeds of Tamil Nadu. Show less

Cholesterol deficiency (CD) in Holstein cattle, caused by a loss-of-function mutation in the A total of 188 cows were classified by lactation: 1 The heterozygous CD genotype was identified in 17.02% of the population, with wild-type and mutant allele frequencies of 0.91 and 0.09, respectively. Non-carriers showed marginally higher fat, protein, and cholesterol levels, with a statistically significant difference in fat content (p = 0.04). When stratified by lactation, significant differences were observed for fat content in the 1 This study confirms the presence of the CD-associated Show less

The increased prevalence of opioid use disorder (OUD) makes it imperative to disentangle the biological mechanisms contributing to individual differences in OUD vulnerability. OUD shows strong heritability, however genetic variants contributing to vulnerability remain poorly defined. We performed a genome-wide association study using over 850 male and female heterogeneous stock (HS) rats to identify genes underlying behaviors associated with OUD such as nociception, as well as heroin-taking, extinction and seeking behaviors. By using an animal model of OUD, we were able to identify genetic variants associated with distinct OUD behaviors while maintaining a uniform environment, an experimental design not easily achieved in humans. Furthermore, we used a novel non-linear network-based clustering approach to characterize rats based on OUD vulnerability to assess genetic variants associated with OUD susceptibility. Our findings confirm the heritability of several OUD-like behaviors, including OUD susceptibility. Additionally, several genetic variants associated with nociceptive threshold prior to heroin experience, heroin consumption, escalation of intake, and motivation to obtain heroin were identified. Tom1, a microglial component, was implicated for nociception. Several genes involved in dopaminergic signaling, neuroplasticity and substance use disorders, including Brwd1, Pcp4, Phb1l2 and Mmp15 were implicated for the heroin traits. Additionally, an OUD vulnerable phenotype was associated with genetic variants for consumption and break point, suggesting a specific genetic contribution for OUD-like traits contributing to vulnerability. Together, these findings identify novel genetic markers related to the susceptibility to OUD-relevant behaviors in HS rats. Show less

Dyslipidemia remains a central modifiable risk factor for atherosclerotic cardiovascular disease (ASCVD). While 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors, commonly known as statins, as well as ezetimibe, fibrates, and omega-3 fatty acids have established roles in lipid lowering, significant residual risk persists in many patients due to insufficient low-density lipoprotein cholesterol (LDL-C) reduction, elevated triglyceride-rich lipoproteins, and genetically determined elevations of lipoprotein(a) (Lp(a)). Recent years have witnessed remarkable advances in therapeutic modalities, including next-generation small molecules, monoclonal antibodies, protein-based infusions, and ribonucleic acid (RNA)-based strategies. These agents target diverse pathways such as proprotein convertase subtilisin/kexin type 9 (PCSK9), angiopoietin-like protein 3 (ANGPTL3), apolipoprotein C-III, apolipoprotein B, cholesteryl ester transfer protein (CETP), and Lp(a), achieving potent lipid modulation with improved convenience and safety. Clinical outcome trials have validated bempedoic acid, PCSK9 inhibitors, and icosapent ethyl, while large-scale programs are ongoing for obicetrapib, oral PCSK9 inhibitors, Lp(a)-targeted oligonucleotides, and ANGPTL3-directed RNA therapeutics. This review summarizes the mechanisms, pivotal trials, and clinical implications of innovative lipid-lowering therapies, highlighting how they may reshape future treatment algorithms for ASCVD prevention. Show less

Branched-chain amino acids (BCAAs), including valine, leucine and isoleucine, are essential nutrient signals that influence mammalian animal metabolism. Many enzymes are involved in the metabolism of BCAAs, such as branched-chain amino acid transaminases (BCATs), branched-chain α-keto acid dehydrogenase (BCKDH), and BCKDH kinase (BCKDK). The aberrant expression of enzymes involved in BCAA metabolism and an imbalance in BCAA amino acid intake can lead to disordered metabolism. Aberrant BCAA metabolism can lead to several diseases, such as human ovarian disease, including ovarian cancer (OC), polycystic ovary syndrome (PCOS), and premature ovarian failure (POF), which are common gynaecological diseases. The overexpression of BCATs is found in OC, which promotes BCAA catalysis to provide a large amount of energy for tumorigenesis. However, BCKDK is overexpressed in epithelial ovarian cancer (EOC), which promotes proliferation and migration via MEK-ERK. In addition, several studies have reported that high levels of BCAAs are increased in the plasma of PCOS and POF patients. This review focuses on the role of BCAA metabolism and potential management methods for OC, PCOS and POF. Show less

Prolactinoma was the most common functional pituitary neuroendocrine tumor tissue type, which was caused by excessive proliferation of pituitary prolactin (PRL) cells. Drug therapy of dopamine receptor agonists was generally considered as the prior treatment for prolactinoma patients. However, there were still prolactinoma patients who were resistant to dopamine agonists. Studies have been reported that paeoniflorin can inhibit the secretion of PRL in prolactinoma cells lacking dopamine D Show less

We report a valence-programmable nucleic acid construct platform targeting FGFR1 (NACFs) comprising monovalent NACF-mono, Y-shaped NACF-Bi, and dendritic NACF-multi for engineering stable and efficient agonists. The bioactivity of NACFs exhibited strong valency-dependence, with the higher-valence NACF-multi demonstrating optimal performance. The dendritic construct promoted receptor oligomerization, enhanced serum stability, and elicited potent downstream signaling, thereby stimulating fibroblast proliferation and migration while accelerating tissue regeneration Show less

Postmenopausal women are at elevated risk for osteoporosis and dysregulated lipid metabolism. While the relationship between conventional lipid markers and bone mineral density (BMD) remains controversial, the association between apolipoprotein B-100 (ApoB-100) (an established independent predictor of atherosclerosis) and bone metabolism in postmenopausal women remains poorly understood. This study investigated the relationship between ApoB-100 and lumbar BMD in postmenopausal women, with specific focus on potential inflammatory and platelet-mediated pathways. We conducted a cross-sectional study of 1,429 postmenopausal women who underwent health screening at the First Affiliated Hospital of Xinxiang Medical University between January 2022 and December 2024. ApoB-100 levels were measured by immunoturbidimetry, and lumbar BMD was assessed using low-dose chest CT imaging. Participants were stratified into tertiles based on ApoB-100 levels. We employed univariate and multivariate regression analyses to evaluate the relationship between lumbar BMD and ApoB-100. Generalized additive models with smooth curve fitting were used to characterize the linear relationship. Subgroup analyses assessed the consistency of associations across different populations, while mediation models quantified the intermediary roles of the neutrophil-to-lymphocyte ratio (NLR) and platelet count. After multivariate adjustment, ApoB-100 demonstrated a significant independent negative correlation with lumbar BMD (β=-6.37, 95%CI: -9.26 to -3.49). This association was more pronounced in women younger than 60 years (β=-10.18, 95%CI: -13.94 to -6.42), those with BMI≥28kg/m² (β=-10.73, 95%CI: -15.31 to -0.86), and those without hypertension (β=-7.3, 95%CI: -10.42 to -4.19). Mediation analysis revealed that NLR accounted for 8.17% of the negative association between ApoB-100 and lumbar BMD, while platelet count showed a suppressive indirect association (20.60%). ApoB-100 exhibits an independent negative association with lumbar BMD in postmenopausal women, partially mediated through inflammatory and platelet pathways. These findings support the potential utility of ApoB-100 as a biomarker for osteoporosis risk assessment in postmenopausal women, particularly within specific high-risk subgroups. Show less

Poly(ADP-ribose) (PAR) polymerase-1 (PARP1) has been implicated in DNA damage responses and neuroinflammation in Alzheimer's disease (AD), yet its role in amyloid-β (Aβ) pathology remains unclear. Here, we show that PARP1 activation drives Aβ pathology and neurodegeneration. Using a sensitive ELISA, we observed significantly elevated PAR levels in the cerebrospinal fluid (CSF) of patients with mild cognitive impairment (MCI) and AD compared to controls. Show less

A low ankle-brachial Index (ABI) is an established condition for peripheral artery disease (PAD) and cardiovascular disease risk. The search for genetic determinants of the ankle-brachial index (ABI) is important to better understand molecular patho-cmechanisms of PAD and its commonalities with cardiovascular diseases (CVD), supporting development of new drug targets and tailored preventive or therapeutic measures. To search for genetic factors contributing to ankle-brachial index, we integrated genome-wide association meta-analysis and transcriptome-wide association meta-analysis (TWAMA) of two German cohorts, the population-based LIFE-Adult cohort and LIFE-Heart, a cohort of patients with suspected or confirmed coronary artery disease. Pathway analysis of identified genes was used to explore biological mechanisms potentially involved in ABI pathophysiology. Finally, we analysed co-associations of known CAD or carotid plaque associations with ABI to detect possible genetic commonalities. By our GWAS meta-analysis, we identified four new gene loci associated with ABI that are also linked with coronary artery diseases (CAD) (6q26: LPA and 11q14.1: DLG2) or cholesterol levels (12q21.31: TMTC2 and Xp21.1: DMD). Furthermore, we replicated a known ABI locus on cytoband 9p21.3 (CDKN2B) and four loci associated with PAD. In our TWAMA, we identified 145 blood transcripts associated with ABI at FDR 5% level. Gene set enrichment analysis of all TWAMA results revealed the inflammation-related pathways interferon gamma response, neutrophil degranulation, and interferon alpha response as the top three upregulated pathways in patients with lower ABI. Among overlapping genes between blood TWAMA and tissue-specific genetically regulated gene-expression association analysis, 24 genes showed consistent effect directions at nominal significance, with lower ABI-associated genes relating to stress response and vascular integrity, while higher ABI-associated genes linked to cellular homeostasis and metabolism. In our integrated genome- and transcriptome-wide meta-analysis, we identified novel and confirmed known candidate genes and pathways associated with ABI. Association signals partly overlap with those of other cardiovascular traits such as CAD and carotid plaque formation. The integration of gene-expression data, validated known and added new molecular insight how inflammatory signalling can contribute to atherosclerosis and vascular dysfunction. These findings pave the way for improved understanding of the molecular underpinnings of PAD and inform future strategies for targeted prevention and therapy. Show less

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, and current predictors such as lipoprotein (a) [Lp(a)] and risk scores have limitations. Automated machine learning (AutoML) offers the potential to improve CVD risk prediction by processing large datasets and developing tailored models without the need for extensive data science expertise. Using clinical datasets from the LURIC (n = 3316) and UMC/M (n = 423) studies, we built AutoML models to predict Lp(a), specific CVDs and CVD-related mortality in three phases. Phase 1 identified key CVD determinants such as age, Lp(a), troponin T, BMI and cholesterol with good accuracy (AUC 0.6249 to 0.9101). Phase 2 validated models in the UMC/M dataset and showed robust performance (AUC 0.7224 to 0.8417), with SHAP analysis highlighting predictors like statin therapy, age and NTproBNP. Phase 3 focused on cardiovascular mortality prediction, achieving high AUC values (0.74 to 0.85) and showed data drift, highlighting the need for model adjustment. Show less

Salivary gland cancers (SGCs) are rare and comprise multiple histologic entities. In the recurrent or metastatic (R/M) setting, there is limited evidence for effective systemic anticancer treatment for most subtypes, affecting prognosis and quality of life. Molecular analysis of SGCs holds promise to more accurately classify SGC subtypes and to determine novel therapeutic targets. Fifteen patients with R/M SGC underwent tumor biopsy and blood sampling to perform whole-genome sequencing (WGS) of tumor and germline as part of their standard-of-care management. Small somatic mutations, structural alterations, copy number variation, and mutational signatures were processed using WGS pipelines alongside germline testing. Alterations were correlated to clinical features and fed back to clinical team to inform treatment decisions. WGS quality control was acceptable in 14 of 15 patients (adenoid cystic carcinoma [AdCC, n = 10], salivary duct carcinoma ex pleomorphic adenoma [n = 1]; clear cell myoepithelial carcinoma [n = 1]; epithelial-myoepithelial carcinoma [n = 1]; and acinic cell carcinoma [n = 1]). Genomic rearrangements/fusions were present in 12 of 14. Rearrangements involving MYB and or NFIB were identified in 8 of 10 patients with AdCC. One patient harbored a clinically actionable WGS in SGC is achievable in clinically relevant timeframes, providing genomic information for deeper understanding of disease pathophysiology, to clarify histologic subtype and can identify actionable genomic targets which may not be found through routine sequencing technologies. Further use of WGS has the potential to improve care for patients with SGC. Show less

Egg weight is an economically important trait in the chicken, and affects the hatchability and chicks' performance in broiler breeding programs. Our comprehensive analysis of 22,375 chickens revealed that the hens' egg weight was linked to their body weight, egg production and hatchability, with higher egg weight potentially increasing the body weight and delaying the female sexual maturity. Egg weight is a dynamic trait, however, previous studies usually focused on single time point and overlooked the dynamic changes during egg-laying period. We performed both single and longitudinal genome-wide association studies in 2,350 hens, combining selective sweep analysis, to identify genetic variants. Then, we integrated multi-omics data of 40 chickens to determine key genes and metabolites. A multi-omics analysis identified 22 key candidate genes, such as ATF6, CSPG4, SH3GL3, C4, LMX1B, CDC34, and CCDC171, of which four (BSG, CFD, MAP2K2, and POLRMT) were associated with egg weights in the ChickenGTEx database. In particular, the SNP rs315726522 may regulate MAP2K2 and FSHB gene expression by modulating the binding of transcription factors, and the SNP rs738839430 caused amino acid change that affected function of CFD protein. This, in turn, affected gonadotropin expression within the GnRH signaling pathway, which ultimately influenced egg weights. Metabolomic analysis revealed 13 metabolites associated with oxidative stress and metabolism of fatty acids, which potentially influenced reproductive performance through stress reduction and hormonal regulation. This study comprehensively analyzed the effects of egg weight in broiler breeders and enhanced our understanding of the genetic mechanisms underlying egg weight in chickens. Show less

The Sahiwal are among the most prominent international transboundary dairy cattle distributed in large numbers between India and Pakistan. With the elapse of more than seven decades after the independence and limited cross-border exchange of Sahiwal germplasm, one thought-provoking question arises as to whether natural and artificial selection could alter the genomic signature patterns in the Sahiwal, reared for different purposes in these two countries. Deciphering the genetic mechanisms that underlie economic traits is essential for advancement and long-term breeding plans that are reflected in the distinct selection signatures they carry. To identify these genomic signatures, three medium-density SNP datasets of Sahiwal from three geographical locations of India and Pakistan were analyzed, using De-Correlated Composite of Multiple Selection Signals technique to identify the major candidate genes. In the genome of Sahiwal, a total of 70 genomic regions with 261 protein-coding genes were found. Milk production (NEK11, HMGCS1, BTN1A1,KCNH3), reproduction (SH3BGR, PSMG1, BRWD1,B3GALT5) and immune response genes (BPIFB1, MCOLN2) were more closely related to the Indian Sahiwal. Pakistani Sahiwal had genes closely linked with the dual-purpose meat (RALGAPA2, RIN2, CFAP61), and milk (SLC24A3 GALNT17, BACH2) traits. Our findings revealed differential patterns of selection signatures in transboundary Sahiwal cattle. Show less

Pathological retinal angiogenesis drives vision loss in diseases like proliferative diabetic retinopathy (PDR) and retinal vein occlusion (RVO). Erdafitinib, a pan-fibroblast growth factor receptor (FGFR) inhibitor, has shown therapeutic potential in FGFR-mutated urothelial carcinoma. This study aimed to determine whether erdafitinib suppresses pathological retinal angiogenesis beyond its canonical FGFR inhibition, and to dissect its potential mechanisms through multi-model validation. We employed zebrafish developmental angiogenesis and oxygen-induced retinopathy (OIR) mouse models, combined with in vitro endothelial cell assays. In zebrafish, erdafitinib dose-dependently inhibited intersegmental vessel (ISV) formation and disrupted retinal angiogenesis, with confocal microscopy revealing truncated vascular length (by 62% at 4 µM vs. controls). The OIR model demonstrated erdafitinib's efficacy in reducing neovascular density (35% decrease) and pathological tuft formation. Mechanistically, erdafitinib impaired human umbilical vein endothelial cell (HUVEC) tube formation and migration, accompanied by downregulation of VEGFR2 expression (2.1-fold reduction) and inhibition of AKT/ERK phosphorylation. Molecular docking confirmed erdafitinib's binding to VEGFR2 kinase domain (binding energy: -7.8 kcal/mol), albeit with lower affinity than FGFR1 (-10.2 kcal/mol). These findings establish that erdafitinib exerts off-target anti-angiogenic effects by blocking VEGFR2 phosphorylation and downstream signaling, supporting its repurposing potential for anti-VEGF-resistant retinal vascular diseases. Further studies should address its intraocular pharmacokinetics and long-term safety. Show less

Autism Spectrum Disorder (ASD) involves a multi-system interaction mechanism among genetics, immunity, and gut microbiota, yet its regulatory network remains undefined. This study conducted a meta-analysis on Genome-Wide Association Study data from four independent ASD cohorts to identify potential genetic loci. By integrating Polygenic Priority Score, brain region, and brain cell eQTL enrichment analyses, and combining summary-data-based Mendelian Randomisation (SMR) analyses of brain cis-eQTL and mQTL, bidirectional Mendelian Randomisation analyses of 473 gut microbiota, and SMR analysis of blood eQTL, SNPs such as rs2735307 and rs989134 with significant multi-dimensional associations were identified. These loci exert cross-tissue regulatory effects by participating in gut microbiota regulation, involving immune pathways such as T cell receptor signal activation and neutrophil extracellular trap formation, as well as cis-regulating neurodevelopmental genes (HMGN1 and H3C9P), or synergistically influencing epigenetic methylation modifications to regulate the expression of BRWD1 and ABT1. The cross-scale evidence chain constructed in this study provides a theoretical foundation for precision medicine research in ASD, holding promise to advance the development of innovative therapeutic strategies. Show less

Fibroblast growth factor receptor 1 (FGFR1) is recognized as an oncogene that fosters tumor development, playing a vital role in cancer progression. This has established it as a promising target for cancer drug development. However, existing FGFR1 inhibitors are often limited by drug resistance and lack of specificity, emphasizing the need for more selective and potent alternatives. To address this challenge, the present study employed an AI-driven virtual screening approach, integrating molecular docking (MD) and molecular dynamics simulations (MDS) to discover novel FGFR1 inhibitors. A voting classifier integrating three machine learning classifiers was utilized to screen 10 million compounds from the eMolecules database, leading to 44 promising candidates with a prediction probability exceeding 80%. MD identified compound with PubChem Compound Identifier (CID) 165426608 (-10.8 kcal/mol) as the highest-scoring ligand, while compounds with CID 145940129 (-9.8 kcal/mol), CID 131910163 (-9.4 kcal/mol), CID 155915988 (-9.2 kcal/mol), and CID 132423733 (-9.1 kcal/mol), exhibited binding affinities comparable to or slightly lower than that of the native ligand (-10.4 kcal/mol). MDS further revealed that all these compounds, except CID 131910163, maintained structural stability with time. Thermodynamic stability assessment confirmed the spontaneity and feasibility of their complex formation reactions with negative ΔGBFE values ranging from -21.87 to -12.76 kcal/mol. Decomposition of binding free energy change further provided key stabilizing residues. The heatmaps and histograms of the interaction over the full 200 ns simulation period highlighted the prominent interaction profiles. Structural similarity analysis of the four MDS-stable compounds displayed the dice similarity scores of 0.200000 to 0.452830 with known FGFR1 inhibitors. Additionally, the pIC50 prediction using a voting regressor indicated promising pIC50 values (7.07 to 7.47), highlighting their potential as hit candidates for further structural optimization and therapeutic development. Further, this study underscores the efficiency of machine learning-based virtual screening and in silico analysis as a cost-effective and reliable strategy for accelerating hit drug discovery from large datasets, even with limited resources and time. Show less

HNF1A-MODY, the most prevalent form of monogenic diabetes, displays incomplete penetrance, indicating the involvement of other environmental and genetic factors in the disease etiology. Currently, it is largely unknown what the influence of environmental factors, such as toxins or diet, is on HNF1A-MODY onset and progression. Here we address this issue by exploring the impact of diet on islet and insulin-secreting beta-cells in the context of HNF1A mutation. Transgenic mice allowing the specific Hnf1a mutation in insulin-secreting beta-cells were exposed to four distinct dietary regimens including combinations of high-fat diet and caloric restriction. In vitro stem cell islets bearing the HNF1A Hnf1a-deficient beta-cells exhibited high sensitivity to dietary cues. Exposure to a high-fat diet exacerbated the glucose regulation defects, while caloric restriction significantly improved blood glucose levels in vivo, without perturbing islet architecture. The high-throughput methods identified changes in the Hnf1a-deficient beta-cells proteome landscape, involving conserved critical regulators of metabolic and growth processes, such as the Carbohydrate Response Element Binding Protein (Chrebp/Mlxipl) and ATP citrate lyase (Acly) among others. This study hallmarks the important impact of diet on Hnf1a-deficient beta-cells, stemming new therapeutic perspectives, such as future diet management approaches. Show less

Neuropathic pain (NP) is a chronic debilitating disease caused by nerve damage or various diseases, significantly impairs patients' quality of life. Super-enhancers (SEs) are important cis-regulatory elements, but how they affect NP remains elusive. Therefore, we aim to explore the molecular mechanism by which SEs are involved in NP progression and identify potential drug candidate targets. We first established a NP model in rats, and subsequently performed H3K27ac ChIP-Seq and RNA-Seq on their spinal cord tissues to analyze the active enhancers. By integrated analysis of ChIP-seq data and RNA-seq data, we clarified a series of SE-associated genes involved in NP progression. qPCR and double immunofluorescence staining results suggested that Show less

Although previous studies have reported associations between gonadotropins, testosterone, and Alzheimer's disease (AD), their longitudinal relationships with cognitive decline and temporal lobe atrophy remain insufficiently characterized. This study examined the association between baseline hormone levels and cognitive decline and temporal lobe volume loss trajectories, and whether these associations vary by sex or This study included 490 participants (378 MCI/112 AD; 311 men/179 women; mean age = 75.01 ± 7.52) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Baseline plasma levels of gonadotropins (FSH, LH) and total testosterone (TT) were measured using Luminex xMAP multiplex immunoassay. Cognitive decline was assessed longitudinally through MMSE and ADAS-Cog 13 scores. Temporal lobe atrophy was quantified using tensor-based morphometry of 1.5T MRI scans, with bilateral temporal lobe volumes scaled to a normalized reference (1,000 = baseline). Linear mixed effects models were employed to relate baseline plasma hormones to longitudinal cognitive performance and temporal lobe volume. Longitudinal analyses showed that higher baseline FSH levels were associated with faster cognitive decline (MMSE: β = -0.025, The results indicate that in individuals across the AD spectrum, elevated gonadotropin levels may exert deleterious, domain-specific effects on cognitive decline or temporal lobe atrophy. Women with lower TT levels may experience faster cognitive progression. Although future studies incorporating additional longitudinal hormone measurements and cognitive trajectories are warranted, our results underscore the importance of gonadotropins and testosterone in AD progression. Show less