Combinatorial Chemistry & High Throughput Screening - Volume 28, Issue 6, 2025
Volume 28, Issue 6, 2025
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Uncovering the Role of Anmeidan against Atherosclerosis from Integrated Network Pharmacology and Pharmacological Experiments
Authors: Yuting Zheng, Jianxiang Wang, Chengcheng Pan, Jihong Song, Xingyue Li, Wenjing Ta and Wen LuBackgroundAtherosclerosis (AS) is the leading cause of mortality in elderly individuals worldwide. Anmeidan (AMD) is a Traditional Chinese Medicine (TCM) formula composed of many herbs, many of which have been accepted for treating AS. This study aimed to explore whether AMD can inhibit the progress of AS and its possible mechanism.
MethodsApoE-/- mice were used to establish the AS model and evaluate the therapeutic effect of AMD on AS. Based on network pharmacology technology, the potential mechanism of AMD for treating AS was explored, and lipid metabolism pathways related to AS were mainly studied. Next, the effects of AMD on liver lipid levels, antioxidant capacity, liver tissue morphology, and gene expression related to lipid metabolism in ApoE-/- mice were investigated. Cellular experiments were performed to confirm the lipid-lowering effect of AMD. Finally, the AMD composition was determined using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
ResultsIn ApoE-/- mice, AMD effectively alleviated AS by reducing serum total cholesterol, triglyceride, low-density lipoprotein levels, and plaque area, and increasing high-density lipoprotein levels. Network pharmacology indicated that AMD may suppress AS by regulating lipid metabolism pathways with multiple TCM components, which was consistent with the results of in vivo experiments and LC-MS/MS component identification. AMD significantly reduced liver lipid aggregation, intensified antioxidant enzyme activity, and upregulated the mRNA levels of ABCA1, ABCG1, and LDLR with increased cholesterol efflux. In addition, AMD decreased cholesterol levels in foam cells.
ConclusionThis study confirmed that AMD could treat AS by regulating lipid metabolism and preliminarily explored the related mechanism. These findings provide new ideas for the treatment of AS with TCM.
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Potential Molecular Markers for Cholecystic Inflammation-Induced Carcinogenesis Based on RNA-Seq Gene Screening
Authors: Henghai Yu, Peng Chen, Ying Hu, Feng Liu, Xiaoping Wei and Mingdao HuBackgroundUncontrolled inflammation plays an important role in the initiation and progression of tumors. The repeated circulation and continuous stimulation of gallbladder epithelium caused by gallstones is an important risk factor for gallbladder cancer.
MethodsTo study pathogenesis, samples were collected for chronic cholecystitis caused by gallstones and early and advanced gallbladder cancer with gallstones and subjected to RNA-seq analysis. Gene Ontology and Kyoto Gene and Genome Encyclopedia analyses were used to elucidate the protein–protein interaction network and identify differentially expressed genes.
ResultsNine potential molecular markers, VTN, CHAD, AKR1C4, ABCC2, AOX1, ADH1A, ADH1C, PLA2G2A, and CYP4F3, with elevated expression gradients in cholecystitis and early and advanced gallbladder cancer, were identified. Using qPCR and immunohistochemistry on clinical tissues, we confirmed three factors, VTN, CYP4F3, and AOX1, to be worthy of further research. To demonstrate that these three genes are potential molecular markers for gallbladder cancer, their cellular biological functions were confirmed in gallbladder cancer cell lines through siRNA transfection.
ConclusionThe potential molecular markers CYP4F3, VTN, and AOX1 for cholecystitis and different stages of gallbladder cancer were identified. Further studies on differentially expressed genes vital in gallbladder cancer progression can help provide potential targets for the early diagnosis and treatment of gallbladder cancer.
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Development and Assessment of a Prediction Model for Alzheimer's Disease Diagnosis Based on Thermoregulation-Related Genes
Authors: Yufu Wu, Jiali Yang, Linlin Guo, Dandan Hao, Wan Zhang, Hu Chen and Lin PeiBackgroundAlzheimer's disease (AD) is a prevalent neurodegenerative condition among the elderly population and the most common form of dementia, however, we lack potent interventions to arrest its inherent pathogenic vectors. Robust evidence indicates thermoregulatory perturbations during and before the onset of symptoms. Therefore, temperature-regulated biomarkers may offer clues to therapeutic targets during the presymptomatic stage.
ObjectiveThe purpose of this study is to develop and assess a thermoregulation-related gene prediction model for Alzheimer's Disease diagnosis.
MethodsThis study aims to utilize microarray bioinformatic analysis to identify the potential biomarkers of AD by analyzing four microarray datasets (GSE48350, GSE5281, GSE122063, and GSE181279) of AD patients. Furthermore, thermoregulation-associated hub genes were identified, and the expression patterns in the brain were explored. In addition, we explored the infiltration of immune cells with thermoregulation-related hub genes. Diagnostic marker validation was then performed at the single-cell level. Finally, the prediction of targeted drugs was performed based on the hub genes.
ResultsThrough the analysis of four datasets pertaining to AD, a total of five genes associated with temperature regulation were identified. Notably, CCK, CXCR4, SLC27A4, and SLC17A6 emerged as diagnostic markers indicative of AD-related brain injury. Furthermore, in the examination of peripheral blood samples from AD patients, SLC27A4 and CXCR4 were identified as pivotal diagnostic indicators. Regrettably, animal experimentation was not pursued to validate the data; rather, an assessment of temperature regulation-related genes was conducted. Future investigations will be undertaken to establish the correlation between these genes and AD pathology.
ConclusionOverall, CCK, CXCR4, SLC27A4, and SLC17A6 can be considered pivotal biomarkers for diagnosing the pathogenesis and molecular functions of AD.
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Topological Insights into Nanostar Dendrimers by Computing the Augmented Zagreb Index
Authors: Haleemah Ghazwani, Ali N. A. Koam, Muhammad Faisal Nadeem and Ali AhmadBackgroundThe field of nanobiotechnology uses precise nanofabrication techniques to advance our understanding and control of biological systems. Due to their remarkable properties, dendrimers, which are hyperbranched macromolecular structures with distinct and well-defined architectures, have emerged as pivotal entities within this field. They are gaining increasing attention for their potential to catalyze a paradigm shift in medical therapeutics, biotechnological applications, and advanced material sciences.
ObjectiveThis paper focuses on a novel analytical expression and determines the precise value of the augmented Zagreb index, a topological descriptor, for eight classes of nanostar dendrimers.
MethodsThe Zagreb index is a topological invariant to predict molecular behaviour and reactivity. In this paper, we have explored its application in characterizing the branching of nanostar dendrimers through computational modelling and mathematical rigor.
ResultsOur research has measured the augmented Zagreb index for nanostar dendrimers, which fall into eight distinct classes. The results better explain the relationship between the dendrimers' topology and chemical properties. This correlation has implications for their structural stability and reactivity, potentially leading to new applications.
ConclusionDeveloping the augmented Zagreb index for nanostar dendrimers is a significant breakthrough in nanobiotechnology. Based on the correlation between the calculated topological index and the corresponding molecular attributes, our analytical approach has opened up new possibilities for designing and synthesizing dendrimers tailored to specific functions in medical and material science applications. This precise topological quantification could significantly enhance the utility and functionalization of dendrimers in cutting-edge nanotechnological applications.
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IL-7R Expression Correlates with Prognosis in Breast Cancer
Authors: Xiaojie Yu, Hao Zhang, Jing Liu, Changran Hou, Haojie Zhang and Zhenlin YangBackgroundThe tumor microenvironment (TME) exerts a significant influence on the development, invasion, metastasis, and drug resistance of breast cancer. Therefore, this study sought to investigate potential prognostic factors and markers indicative of TME remodeling in breast cancer, utilizing data from the TCGA database.
MethodsIn this study, transcriptome RNA-seq data from 1222 breast cancer samples were processed using CIBERSORT and ESTIMATE algorithms. We conducted a differential gene expression analysis utilizing COX regression analysis and constructed protein-protein interaction (PPI) networks for enhanced visualization. Through univariate COX analysis and cross-analysis within PPI networks, the Interleukin-7 receptor (IL-7R) emerged as a potential predictor. Subsequently, we performed a comprehensive investigation encompassing single-gene survival analysis, clinical correlation assessment, and GSEA enrichment analysis targeting IL-7R as a core gene associated with prognosis. We examined the expression of IL-7R in human breast cancer and normal breast tissue through clinical studies and cytology experiments, followed by an in-depth analysis of the relationship between IL-7R and breast cancer.
ResultsThe survival analysis revealed that breast cancer patients with elevated IL-7R expression experienced prolonged survival compared to those with lower IL-7R levels. Results obtained from the Wilcoxon rank-sum test, along with clinical and cellular experiments, indicated higher IL-7R expression in tumor samples compared to normal samples. Correlation tests conducted between IL-7R expression and clinicopathological stage characteristics highlighted statistically significant associations between IL-7R expression and the T and M stages. Additionally, cell classification analysis of tumor-infiltrating immune cells (TIC) proportion showed that activated CD4+ T cells and CD8 T cells of memory B cells were positively correlated with IL-7R expression. These findings further underscored the impact of IL-7R levels on the tumor microenvironment (TME).
ConclusionIL-7R emerges as a potential prognostic indicator for breast cancer patients, particularly in sustaining the immunoactive status of the tumor microenvironment (TME) and contributing to immune reconstitution. These findings offer novel insights into breast cancer treatment strategies.
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Rosmanol Triggers Apoptosis Against MNNG-induced Gastric Carcinogenesis in Rats through Attenuation of the P13K/AKT/HMBG1 Signaling Pathway
Authors: Yan-Bang Niu, Periyannan Velu, Awais Khalid, Samer H. Zyoud, Mohsin Kazi and Yuzhu LiBackgroundGastric cancer (GC) is a frequent malignant neoplasm found in China. Despite numerous therapeutic methodologies to ameliorate the well-being of GC patients, their efficiency remains inadequate.
ObjectiveRosmanol (RML) is a phenolic diterpene compound with antioxidant and anticancer activities. In the current research, the apoptotic efficacy of RML on methylnitronitrosoguanidine (MNNG)-induced GC model was determined.
Materials and MethodsThe rats were allocated into four sets, viz., normal control, MNNG (200 mg/kg bw) + NaCl, MNNG + RML (20 mg/kg), and RML (20 mg/kg) orally treated for 20 weeks.
ResultsThe results exposed that GC rats revealed higher (P<0.05) levels of TBARS and reduced antioxidant status in the stomach and liver tissues counter to other groups. In contrast, the TBARS level was substantially alleviated (P<0.05) and restored the antioxidant status in RML-administered rats. Histopathologic assessment of gastric tissue unveiled that an MNNG-induced group presented squamous cell carcinoma with keratin pearls. The administration of RML reduced GC incidence, and only mild dysplasia was observed. Further, RML alleviated Bcl-2, P13K, AKT, and HMGB1, as evidenced by RT-PCR and Western blot analysis.
ConclusionFurthermore, RML triggered caspase-mediated mitochondrial apoptosis through the inactivation of the PI3K/AKT/HMGB1 pathway, eventually leading to GC cell death. This highlights that RML may be a potential natural antioxidant employed as a chemoprotective agent in GC rats.
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Mogroside V Promotes Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells from Diabetic Mice by Altering MicroRNA Profiles
Authors: Yicai Luo, Zhimao Ye, Cuiping Li, Le Hong and Hao LiBackgroundMogroside V (MV), a triterpene glycoside, exhibits diverse biological functions. However, its ability to promote the osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) under diabetic conditions is yet to be elucidated.
ObjectiveTo study the regulation of osteogenic differentiation of BMSCs in diabetic mice by MV and determine the potential mechanism.
MethodsBMSCs were isolated from both normal (referred to as N-BMSCs) and diabetic (referred to as DM-BMSCs) C57BL/6 mice. DM-BMSCs were treated with different concentrations of MV for varying durations, and cell viability was detected using the cell counting kit-8 assay. Following 2 weeks of osteogenic induction, osteogenic differentiation capability was evaluated using alizarin red S staining, alkaline phosphatase (ALP) activity analysis, and quantitative real-time reverse transcription polymerase chain reaction. Furthermore, the microRNA (miRNA) expression profiles of N-BMSCs, DM-BMSCs, and DM-BMSCs treated with MV were tested using high-throughput sequencing.
ResultsTreatment with MV enhanced the viability of DM-BMSCs and mitigated the reduction of calcium nodule deposition, ALP activity, and mRNA expression of ALP, osteocalcin, and runt-related transcription factor 2. Of the analyzed miRNAs, miR-10b-5p was the only one that exhibited differential expression in N-BMSCs, DM-BMSCs, and DM-BMSCs treated with MV. An analysis of the top four protein clusters based on KEGG suggested that the target genes of differentially expressed miRNAs were closely linked to the PI3K/AKT pathway.
ConclusionMV significantly enhances the viability and osteogenic differentiation of BMSCs under diabetic conditions. The alteration of miRNA profiles provides a foundation for further research into the regulatory role of miRNAs and MV in this process.
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Deciphering the Pharmacological Mechanisms of Wen-Jing-Zhi-Tong Decoction in Treating Primary Dysmenorrhea by UPLC-Q-Exactive-Orbitrap-MS/MS with GC-MS and Network Pharmacology
Authors: Xiaotian Yang, Yajie Qin and Huifang ZhouBackgroundPrimary dysmenorrhea (PDM) is a prevalent menstrual disorder among women, often underreported and undertreated. Wen-Jing-Zhi-Tong Decoction (WJZTD), a patented Traditional Chinese Medicine (TCM) herbal decoction, has shown efficacy in treating PDM. However, the underlying therapeutic mechanism of WJZTD in PDM treatment remains to be elucidated.
ObjectiveThis study aimed to employ integrative pharmacology and experimental validation to investigate the potential therapeutic mechanisms of WJZTD in treating PDM.
MethodsThe bioactive compounds of WJZTD were identified by UPLC-Q-Exactive-Orbitrap MS/MS and GC-MS. Putative targets of WJZTD were obtained from Swiss Target Prediction, STITCH, and BATMAN-TCM databases. Known targets of PDM were retrieved from Gene Cards and Drug Bank databases. Protein-to-protein interactions were constructed to screen key targets using the STRING database. Subsequently, GO and KEGG pathway enrichment analyses were performed based on Metascape. Finally, a PDM rat model was established to validate the potential therapeutic mechanisms of WJZTD using Western Blot, PCR, and ELISA.
Results390 bioactive compounds in WJZTD were identified through UPLC-Q-Exactive-Orbitrap MS/MS and GC-MS. Network pharmacology revealed 7 key compounds with 20 targets and pathways that are crucial for WJZTD in treating PDM. Behavioral tests confirmed that WJZTD can effectively ameliorate menstrual pain in PDM. WJZTD also inhibited prostaglandin production, thereby relieving uterine smooth muscle contraction. The downregulation of the BDNF/TrkB/ERK/CREB signaling pathway, identified as the key target and pathway through network pharmacology, may be crucial to the anti-nociceptive and anti-inflammatory effects of WJZTD in treating PDM.
ConclusionThis study provides the first comprehensive analysis of the key compounds, targets, and pathways of WJZTD, laying a solid foundation for future pharmacological studies on PDM. The anti-nociceptive and anti-inflammatory effect may be attributed to the downregulation of the BDNF/TrkB/ERK/CREB signaling pathway.
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Exploring the Causal Effects of Gut Microbiota on Diabetic Nephropathy: A Two-Sample Mendelian Randomization Study
Authors: Kai Chen, Xu Wang, Zhihao Shang, Qingyue Li, Wenqiang Yao, Shaobo Guo and Yingting GuanBackgroundIn recent years, an increasing number of studies have indicated a bidirectional relationship between gut microbiota and the kidneys (the gut-kidney axis). Currently, the potential causal relationship between gut microbiota and diabetic nephropathy remains unclear. This study explores the causal effects of gut microbiota on diabetic nephropathy through Mendelian randomization.
MethodsWe carried out a comprehensive Mendelian Randomization (MR) analysis, drawing on the Genome-wide Association Study (GWAS) data for 196 varieties of gut microbiota and diabetic nephropathy. The primary analytical approach employed was the inverse-variance weighted, supplemented by the MR-Egger, weighted median, simple mode, and weighted mode. We rigorously assessed heterogeneity with Cochran's Q test and examined pleiotropy via MR-Egger intercept and MR-PRESSO tests. To ensure the reliability of our findings, we conducted funnel plots and leave-one-out analysis.
ResultsOur study indicates a causal relationship between the increased risk of diabetic nephropathy and specific gut microbiota, including the Bacteroidia (P=0.01892; OR=1.593; 95%CI, 1.080-2.350), Bacteroidales (P=0.01892; OR=1.593; 95% CI, 1.080-2.350), and LachnospiraceaeUCG008 (P=0.01350; OR=1.452; 95% CI, 1.080-1.953). Conversely, potential protective factors include the Proteobacteria (P=0.00397; OR=0.528; 95% CI, 0.342-0.815), Gammaproteobacteria (P=0.00965; OR=0.474; 95% CI, 0.270-0.834), Lentisphaeria (P=0.04417; OR=0.756; 95% CI, 0.576-0.993), Victivallales (P=0.04417; OR=0.756; 95% CI, 0.576-0.993), and Dialister (P=0.00118; OR=0.513; 95%CI, 0.343-0.768).
ConclusionThis study confirms the causal effects of gut microbiota on diabetic nephropathy. Identifying the risk and protective factors within the gut microbiota for diabetic nephropathy offers fresh insights and novel approaches for preventing and treating this condition.
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The NeuroProtect Formula: A Preventive Approach to AD Targeting the HIF-1/PI3K-AKT Signaling Pathway Evaluated through In Vivo, In Vitro, and Network Pharmacology Approaches
Authors: Haiyan Li, Qian Hua, Shuo Cheng, Xiaoge Liu, Qingyuan Cai, Jiani Zhang, Tiantian Peng, Jiao Li, Chunxiang Wang, Chengbang Liang, Yu Shi, Xu Wang and Yan TanObjectiveAlzheimer’s Disease (AD) is a progressive neurodegenerative disorder with limited options for reversing its middle-to-late stages. Early intervention is crucial to slow down disease progression. This study aimed to investigate the potential of the NeuroProtect (NP) formula, a combination of geniposide and Panax notoginseng saponins, in preventing AD. We evaluated the effects of the NP formula on amyloid plaque accumulation, neuronal degeneration, and molecular signaling pathways using in vivo and in vitro models.
MethodsTo predict functional pathways and potential downstream targets of NP intervention, we employed network pharmacology. The preventative impact of the NP formula was assessed using APP/PS1 mice. We conducted HE staining, ELISA assay, Golgi staining, and immunohistochemistry to detect the protective effect of NP. Additionally, cell experiments were performed to assess cell activity and target protein expression.
ResultsNetwork pharmacology analysis revealed 145 drug-disease interactions and identified 5 core active targets associated with AD. Molecular docking results demonstrated strong binding affinity between the components of the NP formula (GP, GN-Rb1, GN-Rg1, NS-R1) and target proteins (STAT3, HIF1A, TLR4, mTOR, VEGFA). Notably, the binding energy between NS-R1 and mTOR was -11.4kcal/mol. Among the top 10 enriched KEGG pathways, the HIF-1 and PI3K-AKT signaling pathways were highlighted. In vivo experiments demonstrated that the NP formula significantly ameliorated pathological changes, decreased the Aβ42/Aβ40 ratio in the hippocampus and cortex, and increased dendritic spine density in the CA1 region during the early stage of AD. In vitro experiments further illustrated the NP formula’s ability to reverse the inhibitory effects of Aβ25-35 on cell viability and regulate the expression of Tlr4, Mtor, Hif1a, Stat3, and Vegfa.
ConclusionOur findings suggest that NP exhibits neuroprotective effects during the early stages of AD, positioning it as a potential candidate for AD prevention. The NP formula may exert its preventive effects through the HIF-1/PI3K-AKT signaling pathway, with mTOR identified as a key target.
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Integrating Network Pharmacology, Quantitative Metabolic Network Analysis, In Vitro Experiments, and Molecular Dynamics to Explore the Mechanism of Angelica Sinensis for Regulating Bone Metabolism
Authors: Anlei Yuan, Chaoqun Liu, Wenqing Feng, Beiyan Li, Lulu Zheng, Jiaye Tian, Bin Yu and Yanling ZhangBackgroundBone metabolic diseases are serious health issues worldwide. Angelica sinensis (AS) is traditionally used in Chinese medicine for treating bone metabolism diseases clinically. However, the mechanism of AS in regulating bone metabolism remains uncertain.
ObjectiveThe current investigation was structured to elucidate the potential mechanisms of AS for modulating bone metabolism.
MethodsFirstly, targets of AS regulating bone metabolism were collected by network pharmacology. Then, the transcriptional regulation of RUNX2 was enriched as one of the key pathways for AS to regulate bone metabolism, constructing its metabolic network. Secondly, combining molecular docking, network efficiency, and network flux analyses, we conducted a quantitative evaluation of the metabolic network to reveal the potential mechanisms and components of AS regulating bone metabolism. Finally, we explored the effect of AS on the differentiation of osteoclasts from M-CSF and RANKL-induced RAW264.7 cells, as well as its impact on the osteogenic induction of MC3T3-E1 cells. We verified the mechanism and key targets of AS on bone metabolism using qRT-PCR. Furthermore, the key component was preliminarily validated through molecular dynamics simulation.
ResultsQuantitative metabolic network of the transcriptional regulation of RUNX2 was constructed to illustrate the potential mechanism of AS for regulating bone metabolism, indicating that ferulic acid may be a pharmacological component of AS that interferes with bone metabolism. AS suppressed osteoclast differentiation in M-CSF and RANKL-induced RAW264.7 cells and reversed the expressions of osteoclastic differentiation markers, including RUNX2 and SRC. Additionally, AS induced osteogenic generation in MC3T3-E1 cells and reversed the expressions of markers associated with osteoblastic generation, such as RUNX2 and HDAC4. Molecular dynamics simulation indicated that ferulic acid had a strong binding affinity with HDAC4 and SRC.
ConclusionThis study reveals a systematic perspective on the intervention bone mechanism of AS by transcriptive regulation by RUNX2, guiding the clinical use of AS in treating diseases of the skeletal system.
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miRNAs Influence m6A RNA Methylation through FTO and IGF2BP2 in Pressure Overload-Induced Heart Failure
Authors: Yuanqi Wang, Linghao Xu, Md Sakibur Rahman Tapu, Tiantian Jiao, Xueqi Lin, Wei Song, Liang Wang, Lindong Nie, Jing Cheng, Lijian Xing, Qi Zhang and Jiming LiBackgroundN6-adenosine methylation (m6A) is a prevalent RNA modification associated with heart failure, alongside aberrant miRNA expression. Despite indications of miRNAs regulating m6A modification, their specific influence on m6A in heart failure remains unclear.
MethodsThe initial analysis utilized transcriptome and methylation sequencing data from GSE131296 in mice to identify key m6A methylation enzymes in heart failure and construct an associated network. Integration of miRNA sequencing data from GSE231700 revealed miRNAs influencing m6A methylation enzymes, contributing to the formation of a comprehensive network. Furthermore, differential miRNA levels in human serum were assessed via qPCR, and the expression of m6A methyltransferases in the heart was confirmed using proteomic databases.
ResultsIn pressure overload-induced heart failure mice, 217 mRNAs showed differential expression, with FTO and IGF2BP2 identified as m6A methylation enzymes. Subsequent methylation sequencing revealed 884 highly-methylated and 178 lowly-methylated peaks, establishing a network linking Fto and Igf2bp2 with these peaks. Additionally, miRNA sequencing identified 156 differentially expressed miRNAs, including let-7b-5p and miR-23b-3p, predicted as m6A-regulating miRNAs, both elevated in heart failure patients.
ConclusionmiR-23b-3p and let-7b-5p are identified as potential regulators of RNA methylation in heart failure, acting via FTO and IGF2BP2, offering new insights into the role of miRNA-mediated RNA methylation and its potential therapeutic avenues for heart failure.
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Volumes & issues
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Volume 28 (2025)
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Volume 27 (2024)
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Volume 26 (2023)
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Volume 25 (2022)
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Volume 24 (2021)
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Volume 23 (2020)
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Volume 22 (2019)
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Volume 21 (2018)
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Volume 20 (2017)
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Volume 19 (2016)
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Volume 18 (2015)
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Volume 17 (2014)
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Volume 16 (2013)
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Volume 15 (2012)
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Volume 14 (2011)
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Volume 13 (2010)
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Volume 12 (2009)
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Volume 11 (2008)
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Volume 10 (2007)
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Volume 9 (2006)
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Volume 8 (2005)
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Volume 7 (2004)
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Volume 6 (2003)
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Volume 5 (2002)
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Volume 4 (2001)
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Volume 3 (2000)
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