FoxO Signaling Research Articles

Identification and verification of circRNA biomarkers for coronary artery disease based on WGCNA and the LASSO algorithm

BackgroundThe role of circular RNAs (circRNAs) as biomarkers of coronary artery disease (CAD) remains poorly explored. This study aimed to identify and validate potential circulating circRNAs as biomarkers for the diagnosis of CAD.MethodsThe expression profile of circRNAs associated with CAD was obtained from Gene Expression Omnibus (GEO) database. Differential expression analysis, weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operation (LASSO) were employed to identify CAD-related hub circRNAs. The expression levels of these hub circRNAs were validated using qRT-PCR in blood samples from 100 CAD patients and 100 controls. The diagnostic performance of these circRNAs was evaluated through logistic regression analysis, receiver operator characteristic (ROC) analysis, integrated discrimination improvement (IDI), and net reclassification improvement (NRI). Functional enrichment analyses were performed to predict the possible mechanisms of circRNAs in CAD.ResultsA total of ten CAD-related hub circRNAs were identified through WGCNA and LASSO analysis. Among them, hsa_circ_0069972 and hsa_circ_0021509 were highly expressed in blood samples of CAD patients, and they were identified as independent predictors after adjustment for relevant confounders. The area under the ROC curve for hsa_circ_0069972 and hsa_circ_0021509 was 0.760 and 0.717, respectively. The classification of patients was improved with the incorporation of circRNAs into the clinical model composed of conventional cardiovascular risk factors, showing an IDI of 0.131 and NRI of 0.170 for hsa_circ_0069972, and an IDI of 0.111 and NRI of 0.150 for hsa_circ_0021509. Functional enrichment analyses revealed that the hsa_circ_0069972-miRNA-mRNA network was enriched in TGF-β、FoxO and Hippo signaling pathways, while the hsa_circ_0021509-miRNA-mRNA network was enriched in PI3K/Akt and MAPK signaling pathways.ConclusionHsa_circ_0069972 and hsa_circ_0021509 were identified by integrated analysis, and they are highly expressed in CAD patients. They may serve as novel biomarkers for CAD.

Transcriptome analysis revealed differences in gene expression in sheep muscle tissue at different developmental stages

BackgroundThe analysis of differentially expressed genes in muscle tissues of sheep at different ages is helpful to analyze the gene expression trends during muscle development. In this study, the longissimus dorsi muscle of pure breeding Hu sheep (H), Suffolk sheep and Hu sheep hybrid F1 generation (SH) and East Friesian and Hu sheep hybrid sheep (EHH) three strains of sheep born 2 days (B2) and 8 months (M8) was used as the research object, and transcriptome sequencing technology was used to identify the differentially expressed genes of sheep longissimus dorsi muscle in these two stages. Subsequently, GO and KEGG enrichment analysis were performed on the differential genes. Nine differentially expressed genes were randomly selected and their expression levels were verified by qRT-PCR.ResultsThe results showed that 842, 1301 and 1137 differentially expressed genes were identified in H group, SH group and EHH group, respectively. Among them, 191 differential genes were enriched in these three strains, including pre-folding protein subunit 6 (PFDN6), DnaJ heat shock protein family member A4 (DNAJA4), myosin heavy chain 8 (MYH8) and so on. GO and KEGG enrichment analysis was performed on 191 differentially expressed genes shared by the three strains to determine common biological pathways. The results showed that the differentially expressed genes were significantly enriched in ribosomes, unfolded protein binding, FoxO signaling pathway, glycolysis / glycogen generation and glutathione signaling pathway that regulate muscle protein synthesis and energy metabolism. The results of qRT-PCR were consistent with transcriptome sequencing, which proved that the sequencing results were reliable.ConclusionsOverall, this study revealed the important genes and signaling pathways related to sheep skeletal muscle development, and the result laid a foundation for further understanding the mechanism of sheep skeletal muscle development.

Comparative analysis of liver transcriptomes associated with hypoxia tolerance in the improve blunt snout bream (Megalobrama amblycephala)

The blunt snout bream (Megalobrama amblycephala, BSB) is one of important freshwater fish of value in China, but it has poor tolerance to hypoxia environment. To improve this disadvantage, we cultivate an improved blunt snout bream (BTBB) from a hybrid lineage of Megalobrama amblycephala (♀) × Culter alburnus (♂). In this study, we found that the BTBB had higher tolerance hypoxia than BSB. Moreover, in order to take a deep insight into the molecular mechanisms of higher hypoxia tolerance in BTBB, we analyzed the liver transcriptomes of BTBB and BSB under normoxic and hypoxia conditions comparatively and found out several differentially expressed genes (DEGs). Among the GO functional categories, negative regulation of response to stimulus (GO: 0048585), oxidation-reduction process (GO: 0055114), and response to oxidative stress (GO: 0006979) in biological processes were observed. In addition, according to Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, the results indicated that many DEGs participated in FoxO signaling pathway, MAPK signaling pathway, VEGF signaling pathway, PPAR signaling pathway and p53 signaling pathway, and other processes. This study provides important clues about the potential molecular mechanisms explaining the higher hypoxia tolerance in BTBB. It also presents further evidence for the enhanced ability to resist hypoxia in BTBB, which is significant for fish genetic breeding.

C-type natriuretic peptide/cGMP/FoxO3 signaling attenuates hyperproliferation of pericytes from patients with pulmonary arterial hypertension

Pericyte dysfunction, with excessive migration, hyperproliferation, and differentiation into smooth muscle-like cells contributes to vascular remodeling in Pulmonary Arterial Hypertension (PAH). Augmented expression and action of growth factors trigger these pathological changes. Endogenous factors opposing such alterations are barely known. Here, we examine whether and how the endothelial hormone C-type natriuretic peptide (CNP), signaling through the cyclic guanosine monophosphate (cGMP) -producing guanylyl cyclase B (GC-B) receptor, attenuates the pericyte dysfunction observed in PAH. The results demonstrate that CNP/GC-B/cGMP signaling is preserved in lung pericytes from patients with PAH and prevents their growth factor-induced proliferation, migration, and transdifferentiation. The anti-proliferative effect of CNP is mediated by cGMP-dependent protein kinase I and inhibition of the Phosphoinositide 3-kinase (PI3K)/AKT pathway, ultimately leading to the nuclear stabilization and activation of the Forkhead Box O 3 (FoxO3) transcription factor. Augmentation of the CNP/GC-B/cGMP/FoxO3 signaling pathway might be a target for novel therapeutics in the field of PAH.

Mechanistic prediction and validation of Brevilin A Therapeutic effects in Lung Cancer

BackgroundTraditional Chinese medicine (TCM) has been found widespread application in neoplasm treatment, yielding promising therapeutic candidates. Previous studies have revealed the anti-cancer properties of Brevilin A, a naturally occurring sesquiterpene lactone derived from Centipeda minima (L.) A.Br. (C. minima), a TCM herb, specifically against lung cancer. However, the underlying mechanisms of its effects remain elusive. This study employs network pharmacology and experimental analyses to unravel the molecular mechanisms of Brevilin A in lung cancer.MethodsThe Batman-TCM, Swiss Target Prediction, Pharmmapper, SuperPred, and BindingDB databases were screened to identify Brevilin A targets. Lung cancer-related targets were sourced from GEO, Genecards, OMIM, TTD, and Drugbank databases. Utilizing Cytoscape software, a protein-protein interaction (PPI) network was established. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene set enrichment analysis (GSEA), and gene-pathway correlation analysis were conducted using R software. To validate network pharmacology results, molecular docking, molecular dynamics simulations, and in vitro experiments were performed.ResultsWe identified 599 Brevilin A-associated targets and 3864 lung cancer-related targets, with 155 overlapping genes considered as candidate targets for Brevilin A against lung cancer. The PPI network highlighted STAT3, TNF, HIF1A, PTEN, ESR1, and MTOR as potential therapeutic targets. GO and KEGG analyses revealed 2893 enriched GO terms and 157 enriched KEGG pathways, including the PI3K-Akt signaling pathway, FoxO signaling pathway, and HIF-1 signaling pathway. GSEA demonstrated a close association between hub genes and lung cancer. Gene-pathway correlation analysis indicated significant associations between hub genes and the cellular response to hypoxia pathway. Molecular docking and dynamics simulations confirmed Brevilin A’s interaction with PTEN and HIF1A, respectively. In vitro experiments demonstrated Brevilin A-induced dose- and time-dependent cell death in A549 cells. Notably, Brevilin A treatment significantly reduced HIF-1α mRNA expression while increasing PTEN mRNA levels.ConclusionsThis study demonstrates that Brevilin A exerts anti-cancer effects in treating lung cancer through a multi-target and multi-pathway manner, with the HIF pathway potentially being involved. These results lay a theoretical foundation for the prospective clinical application of Brevilin A.

Skin treatment with non-thermal plasma modulates the immune system through miR-223-3p and its target genes

ABSTRACT Non-thermal plasma, a partially ionized gas, holds significant potential for clinical applications, including wound-healing support, oral therapies, and anti-tumour treatments. While its applications showed promising outcomes, the underlying molecular mechanisms remain incompletely understood. We thus apply non-thermal plasma to mouse auricular skin and conducted non-coding RNA sequencing, as well as single-cell blood sequencing. In a time-series analysis (five timepoints spanning 2 hours), we compare the expression of microRNAs in the plasma-treated left ears to the unexposed right ears of the same mice as well as to the ears of unexposed control mice. Our findings indicate specific effects in the treated ears for a set of five miRNAs: mmu-miR-144-5p, mmu-miR-144-3p, mmu-miR-142a-5p, mmu-miR-223-3p, and mmu-miR-451a. Interestingly, mmu-miR-223-3p also exhibits an increase over time in the right non-treated ear of the exposed mice, suggesting systemic effects. Notably, this miRNA, along with mmu-miR-142a-5p and mmu-miR-144-3p, regulates genes and pathways associated with wound healing and tissue regeneration (namely ErbB, FoxO, Hippo, and PI3K-Akt signalling). This co-regulation is particularly remarkable considering the significant seed dissimilarities among the miRNAs. Finally, single-cell sequencing of PBMCs reveals the downregulation of 12 from 15 target genes in B-cells, Cd4+ and Cd8+ T-cells. Collectively, our data provide evidence for a systemic effect of non-thermal plasma.

Network Pharmacology Analysis, Molecular Docking Integrated Experimental Verification Reveal the Mechanism of Gynostemma pentaphyllum in the Treatment of Type II Diabetes by Regulating the IRS1/PI3K/Akt Signaling Pathway.

Gynostemma pentaphyllum (Thunb.) Makino (GP), a plant with homology of medicine and food, as a traditional Chinese medicine, possesses promising biological activities in the prevention and treatment of type 2 diabetes mellitus (T2DM). However, the material basis and the mechanism of action of GP in the treatment of T2DM have not been fully elucidated. This study aimed to clarify the active components, potential targets and signaling pathways of GP in treating T2DM. The chemical ingredients of GP were collected by combining UPLC-HRMS analysis and literature research. Network pharmacology revealed that GP had 32 components and 326 potential targets in treating T2DM. The results showed that GP affected T2DM by mediating the insulin resistance signaling pathway, PI3K/Akt signaling pathway and FoxO1 signaling pathway, which had a close relationship with T2DM. Molecular docking results showed that STAT3, PIK3CA, AKT1, EGFR, VEGFA and INSR had high affinity with the active compounds of GP. In vitro, GP extracts obviously increased the glucose uptake and glucose consumption in IR-HepG2 cells. GP extracts increased the levels of PI3K, p-AKT, p-GSK3β and p-FoxO1 and decreased the expression of p-IRS1, p-GS, PEPCK and G6Pase, which indicated that GP could promote glycogen synthesis and inhibit gluconeogenesis by regulating the IRS1/PI3K/Akt signaling pathway. The results demonstrated that GP could improve insulin resistance by promoting glucose uptake and glycogen synthesis and inhibiting gluconeogenesis through regulating the IRS1/PI3K/Akt signaling pathway, which might be a potential alternative therapy for T2DM.

Metformin is a potential therapeutic for COVID-19/LUAD by regulating glucose metabolism

Lung adenocarcinoma (LUAD) is the most common and aggressive subtype of lung cancer, and coronavirus disease 2019 (COVID-19) has become a serious public health threat worldwide. Patients with LUAD and COVID-19 have a poor prognosis. Therefore, finding medications that can be used to treat COVID-19/LUAD patients is essential. Bioinformatics analysis was used to identify 20 possible metformin target genes for the treatment of COVID-19/LUAD. PTEN and mTOR may serve as hub target genes of metformin. Metformin may be able to cure COVID-19/LUAD comorbidity through energy metabolism, oxidoreductase NADH activity, FoxO signalling pathway, AMPK signalling system, and mTOR signalling pathway, among other pathways, according to the results of bioinformatic research. Metformin has ability to inhibit the proliferation of A549 cells, according to the results of colony formation and proliferation assays. In A549 cells, metformin increased glucose uptake and lactate generation, while decreasing ATP synthesis and the NAD+/NADH ratio. In summary, PTEN and mTOR may be potential targets of metformin for the treatment of COVID-19/LUAD. The mechanism by which metformin inhibits lung adenocarcinoma cell proliferation may be related to glucose metabolism regulated by PI3K/AKT signalling and mTOR signalling pathways. Our study provides a new theoretical basis for the treatment of COVID-19/LUAD.

Mechanism of Cnidii Fructus in the Treatment of Infertility Based on Network Pharmacology and Molecular Docking Analysis Technology.

Infertility is a condition characterized by a low fertility rate, which significantly affects the physical and mental health of women of reproductive age. Typically, the treatment duration is prolonged, and the therapeutic outcomes are often unsatisfactory. Professor Cheng-yao He, a renowned expert in traditional Chinese medicine, commonly uses the herb Cnidii Fructus (SCZ) for the treatment of infertility. However, the exact mechanism remains unclear, and there is limited research available on this topic. The active ingredients of SCZ were obtained from the traditional chinese medicine system pharmacology (TCMSP) database and screened for pharmacokinetics (PK), involving absorption, distribution, metabolism, and excretion (ADME). Target prediction was performed by SwissTargetPrediction database, and infertility-related disease targets were searched in GeneCards, TTD, DrugBank, and OMIM database. The protein-protein interaction (PPI) network was constructed using the STRING database (Version 11.5) and analyzed by Cytoscape software (Version 3.9.1). Additionally, the target genes were subjected to biological enrichment analysis in the Metascape database, including gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, and the "Disease-Ingredient-pathway-target" network was constructed using Cytoscape software. With the assistance of AutoDockVina, Ligplot, and PyMOL software, a validation of Molecular docking results and a visualization of the results were performed. This study identified 11 retained active ingredients of SCZ, 447 drug targets, 233 of which were related to infertility, and 5393 disease targets. GO enrichment analysis mainly involved 221 biological processes such as cellular response to chemical stress and gland development. KEGG enrichment analysis mainly involved 68 pathways such as thyroid hormone signaling pathway, estrogen signaling pathway, FOXO signaling pathway, and PI3K/Akt signaling pathway. Molecular docking showed that the core active ingredients of SCZ, including Ammidin, Diosmetin, Xanthoxylin N, and Prangenidin, had strong binding abilities with core targets such as MDM2, MTOR, CCND1, EGFR, and AKT1. This study preliminarily demonstrated that SCZ may act on the PI3K/Akt signaling pathway, exerting its therapeutic effects on infertility by improving energy metabolism disorders and endometrial receptivity, inducing primordial follicle activation, regulating oocyte proliferation, differentiation, and apoptosis, and promoting the release of dominant follicles.

Unravelling the molecular mechanistic pathway underlying the anticancer effects of kaempferol in colorectal cancer: a reverse pharmacology network approach.

Colorectal cancer (CRC) is the third most diagnosed and highly fatal malignancy, presenting serious health concerns worldwide. The search for an effective cure for CRC is challenging and poses a serious concern. Kaempferol is a potent anti-cancerous bioactive compound often suggested for treating various cancers, including CRC. However, its underlying molecular mechanism against CRC remains unclear. The present study delves into kaempferol's molecular pathways and underlying molecular mechanisms against CRC targets. The target protein-coding genes for kaempferol were retrieved, and the CRC-associated genes were curated. Twelve common targets with a disease specificity index of > 0.6 were validated for their protein expression at different stages of CRC. Over-expressed USP1, SETD7, POLH, TDP1 and RACGAP1 were selected for further studies. The binding affinities of kaempferol to the corresponding proteins were evaluated using molecular docking and Molecular Dynamics (MD) simulations. SETD7 exhibited the highest binding affinity with the lowest binding energy (-8.06kcal/mol). Additionally, the MD simulation, and MM-PBSA conferred SETD7-kaempferol complex had the least root-mean-square deviation with lower interaction energy and higher conformational stability. The protein-protein interaction of SETD7 constructed revealed direct interactors, namely, DNMT1, FOXO1, FOXO3, FOXO4, H3-3B, H3-4, H3C12, H3C13, SETD7, SIRT1 and TP53, have a potential role in cancer progression through FOXO signalling. In summary, our study revealed kaempferol's multi-target and synergistic effect on multiple CRC targets and its underlying mechanisms. Finally, the study recommends in-vitro and in-vivo trials for validation of anti-cancerous drugs for CRC.

Bioinformatics study of the potential therapeutic effects of ginsenoside Rh3 in reversing insulin resistance

BackgroundIn recent years, the incidence of insulin resistance is increasing, and it can cause a variety of Metabolic syndrome. Ginsenosides have been clinically proven to improve fat metabolism and reduce insulin resistance, but their components and mechanism of action are still unclear.ObjectiveGinsenoside, a bioactive compound derived from ginseng, exhibits significant potential in treating obesity, diabetes, and metabolic disorders. Despite evidence supporting its efficacy in ameliorating insulin resistance (IR) in obesity, the specific bioactive components and underlying mechanisms remain obscure. In this study, we endeavored to elucidate the potential molecular targets and pathways influenced by ginsenoside Rh3 (GRh3) to ameliorate IR in liver tissue. We employed a comprehensive approach that integrates system pharmacology and bioinformatics analysis.Materials and methodsOur methodology involved the identification of candidate targets for GRh3 and the profiling of differentially expressed genes (DEGs) related to IR in individuals with insulin resistance. The coalescence of candidate targets and DEGs facilitated the construction of a “GRh3-targets-disease” network for each tissue type, ultimately yielding 38 shared target genes. Subsequently, we conducted pathway enrichment analysis, established protein-protein interaction (PPI) networks, and identified hub targets among the GRh3 targets and IR-related DEGs. Additionally, we conducted animal experiments to corroborate the role of these hub targets in the context of GRh3.ResultsOur investigation identified a total of 38 overlapping targets as potential candidates. Notably, our analysis revealed crucial hub targets such as EGFR, SRC, ESR1, MAPK1, and CASP3, alongside implicated signaling pathways, including those related to insulin resistance, the FoxO signaling pathway, the PPAR signaling pathway, and the IL-17 signaling pathway. This study establishes a robust foundation for the mechanisms underlying GRh3’s efficacy in mitigating IR. Furthermore, these results suggest that GRh3 may serve as a representative compound within the ginsenoside family.ConclusionThis study elucidates the potential molecular targets and associated pathways through which GRh3 ameliorates IR, showcasing its multifaceted nature, spanning multiple targets, pathways, and mechanisms. These findings establish a robust foundation for subsequent experimental inquiries and clinical applications.

Exploring the gut microbiota mediated biotransformation of Senecio scandens Buch.-Ham.: Insights from metabolite spectrum with UHPLC-Q-Orbitrap HRMS and bioinformatics analysis of gut microbiota metabolites

Senecio scandens Buch.-Ham., a traditional Chinese medicine commonly used clinically, exhibits various pharmacological properties, including anti-inflammatory, anti-tumor, antiviral, and antibacterial activities. However, its water extracts' chemical components and metabolites are inadequately understood, limiting further research. In this study, the chemical components and metabolism processes of Senecio scandens, both in vivo (plasma, feces, urine, and bile) and in vitro (gut microbiota and liver microsomes), were characterized based on ultra-high performance liquid chromatography coupled with hybrid quadrupole-orbitrap high-resolution mass spectrometry. Additionally, metabolites detectable in fecal samples and intestinal microbiota incubated but absent in liver microsomes were identified as characteristic metabolites of intestinal microbiota. The targets of the characteristic metabolites of intestinal microbiota were collected, followed by exploration of potential pathways through KEGG enrichment analysis. As a result, a total of 133 chemical components were preliminarily identified, including 35 organic acids, 21 alkaloids, 19 flavonoids and their glycosides, 17 phenylpropanoids, 10 jacaranda ketones, and 31 other compounds. Notably, 12 of these were potentially novel compounds. In addition, 39 prototype components in rats and 109 metabolites were identified and characterized, including 102 in vivo and 52 metabolites in vitro (51 in rat gut microbiota and 24 in rat liver microsomes). The main metabolic pathways include oxidation, reduction, hydrolysis, methylation, glucuronidation, sulfonation, and acetylation reactions. Furthermore, KEGG enrichment analysis revealed that the characteristic metabolites of intestinal microbiota may be related to the ErbB, FoxO, mTOR, and MAPK signaling pathways, exhibiting anti-inflammatory and anti-tumor effects. In summary, the chemical components and metabolites of Senecio scandens were comprehensively identified using a rapid and accurate method, providing a scientific basis for the in-depth study of the material basis and its clinical application of Senecio scandens.

Construction of competing endogenous RNA networks in systemic lupus erythematosus by integrated analysis.

Systemic lupus erythematosus (SLE) is a disease characterised by immune inflammation and damage to multiple organs. Recent investigations have linked competing endogenous RNAs (ceRNAs) to lupus. However, the exact mechanism through which the ceRNAs network affects SLE is still unclear. This study aims to investigate the regulatory functions of the ceRNAs network, which are important pathways that control the pathophysiological processes of SLE. CircRNA microarray for our tested assays were derived from bone marrow samples from three healthy individuals and three SLE patients in our hospital. The other sequencing data of circRNA, miRNA and mRNA were obtained from Gene Expression Omnibus (GEO) datasets. Using the limma package of R program, the differential expression of mRNA and miRNA in the GEO database was discovered. Then predicted miRNA-mRNA and circRNA-miRNA were established using miRMap, miRanda, miRDB, TargetScan, and miTarBase. CircRNA-miRNA-mRNA ceRNA network was constructed using Cytoscape, and hub genes were screened using a protein-protein interaction network. Immune infiltration analysis of the hub gene was also performed by CIBERSORT and GSEA. 230 overlapped circRNAs, 86 DEmiRNAs and 2083 DEmRNAs were identified in SLE patients as compared to healthy controls. We constructed a circRNA-miRNA-mRNA ceRNAs network contained 11 overlapped circRNAs, 9 miRNAs and 51 mRNAs. ESR1 and SIRT1 were the most frequently associated protein-protein interactions in the PPI network. KEGG analysis showed that DEGs was enriched in FoxO signaling pathway as well as lipids and atherosclerosis. We constructed a novel circRNA-miRNA-mRNA ceRNA network (HSA circ 0000345- HSA miR-22-3-P-ESR1/SIRT1) that may have a major impact on SLE. Through this bioinformatics and integrated analysis, we suggest a regulatory role for ceRNA network in the pathogenesis and treatment of SLE.

Examination of the effects of excess microalgae availability on the disruption of mussel byssus secretion

The present study evaluated the effects of food availability on byssus secretion in the hard-shelled mussel Mytilus coruscus. Byssus production was evaluated, and foot tissue transcriptomes, the site of byssus production, were generated. The results showed that byssus secretion was disrupted in mussels fed high levels of microalgae (HFL, 88.8 mg/L day−1), compared to the control group (p < 0.05), and that more byssus production occurred in the HFL group during the recovery period. Byssus secretion was not affected in mussels fed low levels of microalgae (8.88 × 10−3 mg/L day−1), but the shedding of byssus filaments was significantly increased compared to the control mussels (p < 0.05). Transcriptome data of the foot tissue revealed that lysosome, FoxO signaling, and autophagy pathways involved in autophagic cell death and apoptosis were significantly affected (p < 0.05) and may explain differences in byssus growth under modified food availability in M. coruscus. High feed levels modified metabolic pathways, such as sphingolipid, tyrosine, and phenylalanine, and downregulated genes coding for mussel foot proteins, which may explain reduced byssus production. The study found that contrary to expectation increased food availability reduced mussel byssus production by altering foot metabolism and promoting autophagy of foot tissue.

Circulating microRNA profile of long-lived Okinawans identifies novel potential targets for optimizing lifespan and health span.

Nonagenarians and centenarians serve as successful examples of aging and extended longevity, showcasing robust regulation of biological mechanisms and homeostasis. Given that human longevity is a complex field of study that navigates molecular and biological mechanisms influencing aging, we hypothesized that microRNAs, a class of small noncoding RNAs implicated in regulating gene expression at the post-transcriptional level, are differentially regulated in the circulatory system of young, middle-aged, and nonagenarian individuals. We sequenced circulating microRNAs in Okinawan males and females <40, 50-80, and >90 years of age accounting for FOXO3 genetic variations of single nucleotide polymorphism (SNP) rs2802292 (TT - common vs. GT - longevity) and validated the findings through RT-qPCR. We report five microRNAs exclusively upregulated in both male and female nonagenarians with the longevity genotype, play predictive functional roles in TGF-β, FoxO, AMPK, Pi3K-Akt, and MAPK signaling pathways. Our findings suggest that these microRNAs upregulated in nonagenarians may provide novel insight into enhanced lifespan and health span. This discovery warrants further exploration into their roles in human aging and longevity.

Integrating analysis of mRNA expression profiles indicates Sgk1 as a key mediator in muscle-brain crosstalk during resistance exercise

Abundant evidence has shown the protective effect of aerobic exercise on central neuronal system, however, research about resistance exercise remains limited. To evaluate the effect and potential molecular mechanisms of resistance exercise in improving cognition and mental health, three-month-old male C57BL/6J mice underwent resistance training for five weeks. Body parameters, cognitive performance and synaptic plasticity were then assessed. In both groups, total RNA from the frontal cortex, hippocampus and gastrocnemius was isolated and sequenced, GO term and KEGG analysis were performed to identify molecular mechanisms. The results from RNA sequencing were then verified by RT-PCR. Our data found that mice in training group showed reduced anxiety-like behavior and better spatial memory. Accordingly, resistance exercise specifically increased the number of thin spines without affecting the number of other kind of spines. mRNA sequence analysis showed that resistance exercise induced differential expression of hundreds of genes in the above three tissues. KEGG analysis indicated the FoxO signaling pathway the most significant changed pathway throughout the brain and muscle. GO terms analysis showed that Sgk1 was enriched in the three key cognition related BP, including long-term memory, learning or memory and memory, and the expression level of Sgk1 was positive related with cognitive performance in the water maze. In conclusion, resistance exercise improved the mental health, cognition and synaptic plasticity of mice. Integrating analysis of mRNA expression profiles in frontal cortex, hippocampus and muscle reveals Sgk1 as the key mediator in brain-muscle crosstalk.

LncRNA MEG3 Restrains Hepatic Lipogenesis via the FOXO1 Signaling Pathway in HepG2 Cells

Nonalcoholic fatty liver disease (NAFLD) become a main public health concern, and is characterized by lipid accumulation in the hepatocytes. We found that overexpression of lncRNA MEG3 significantly reduced the expression of FOXO1, ACC1, and FAS, and subsequently decreased the lipid accumulation in HepG2 cells. Moreover, inhibition of lncRNA MEG3 could increase the lipid accumulation and the mRNA and protein levels of FOXO1, ACC1, and FAS. Further study showed that lncRNA MEG3 regulates the lipogenesis process by inhibiting the entry of FOXO1 into the nucleus translocation. Our study demonstrated that lncRNA MEG3 regulates de novo lipogenesis by decreasing the expression and nucleus translocation of FOXO1 in HepG2 cells, suggesting that lncRNA MEG3 could be a promising therapeutic target in lipid metabolic disorders.

Abstract PO1-25-11: Deciphering biological differences between normal breast tissues in men and women using single cell sequencing and in vitro modeling

Abstract Breast cancer in men is relatively rare but outcome from the disease is worse than in women. Although 87% breast cancers in men are Estrogen Receptor-positive (ER+), anti-estrogen therapy is less efficacious in men compared to women with similar breast cancer subtype. Recent genomic analysis of breast tumors in men and women have identified overlapping as well as unique genomic aberrations in breast tumors of men. It is unclear whether genomic aberrations enriched in breast cancers of men uniquely affect the biology and thus alter response to antiestrogen therapy. This lack of knowledge is mainly due to scarcity of model systems. To overcome this limitation, we collected ultrasound guided breast biopsies of healthy men and characterized breast epithelial cells grown from these biopsies. Biopsies were also subjected to single nuclei sequencing. Single nuclei breast atlas of men is currently being superimposed on single nuclei breast atlas generated from breast biopsies of healthy women to determine whether distinct cell types exist in men and to distinguish ductal and lobular breast epithelial cells. Breast epithelial cells of men expressed higher levels of ER compared to similarly propagated breast epithelial cells of women. Expression of ER in a subpopulation of cultured breast epithelial cells was confirmed by immunofluorescence. Among the pioneer factors that determine genome wide binding pattern of ER, TBX3 is expressed at a higher level but FOXA1 is expressed at a lower level in breast epithelial cells of men compared to women. Comparative RNA-seq analysis of breast epithelial cells of men and women revealed elevated non-genomic ER signaling in men compared to women, which could be responsible for limited response of breast tumors of men to anti-estrogen therapy. Additional pathways uniquely upregulated in breast epithelial cells of men include non-canonical Wnt, HIF1A, JUN, NF-kB, TGFb, and FOXO1 signaling. Expectedly, breast epithelial cells of men expressed 15 Y chromosome associated genes including the epigenetic regulators KDM5D and UTY, which have recently been shown to be responsible for sex-specific differences in outcome from other cancer types and loss of Y chromosome could be driver event in certain cancer types. We have created immortalized and transformed variants of breast epithelial cells of men to further aid in mechanistic investigation and drug discovery. Furthermore, our tissue bank currently has breast biopsies of ~30 healthy men to be used as controls for breast cancer studies in men. To our knowledge, this is the first model system to study breast cancer in men starting with breast tissues of healthy men. Citation Format: Poornima Bhat-Nakshatri, Benjamin Fischer, Aditi Khatpe, Adedeji Adebayo, Hongyu Gao, Yunlong Liu, Michele Cote, Harikrishna Nakshatri. Deciphering biological differences between normal breast tissues in men and women using single cell sequencing and in vitro modeling [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-25-11.

Evaluation of the diagnostic performance of circulating microRNAs for the diagnosis of autism spectrum disorders

Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder with genetic and environmental influences. Recently, microRNA (miRNA), has been identified as a potential contributor to the pathogenesis of several neurodevelopmental abnormalities, including ASD. Aim This study aimed to assess the diagnostic performance of a miRNA panel (miR-146a-5p, miR-106b-5p, miR-148a-5p) in ASD diagnosis. Patients and methods Fifty children, 16 with ASD and 34 normally developing were enrolled in the study. Relative expression levels of plasma miR-146a-5p, miR-106b-5p, and miR-148a were determined by real-time reverse transcription-quantitative PCR. Receiver operator characteristic analysis was done to evaluate the diagnostic performance of the studied panel. Functional enrichment analysis was conducted to detect the relationship between miRNA targets and relevant pathways. Results Results showed significantly higher levels of all three miRNAs in ASD children compared to controls. Receiver operator characteristic analysis indicated high diagnostic accuracy for miR-106b-5p area under a curve (AUC)=0.959], miR-146a-5p (AUC=0.980), and miR-148a-5p (AUC=0.995). Functional analysis revealed enrichment of miRNA targets in pathways related to neurodevelopment, such as FoxO, PI3K-Akt, and HIF-1 signaling. MiR-146a-5p targets were enriched in innate immunity pathways like Toll-like receptor and chemokine signaling. These findings suggest a complex interplay between neuroepigenetics and neurogenetic pathways in ASD pathogenesis. Conclusion The proposed miRNA panel shows promise for distinguishing children with ASD from normally developing children. Moreover, the study highlights the intricate relationship between miRNAs and ASD-related pathways, emphasizing the need for further large-scale validation studies. Integrating genetic, epigenetic, and environmental factors may improve our understanding and management of ASD.

Active substances and molecular mechanisms of Astragali Radix and Angelicae Sinensis radix against idiopathic pulmonary fibrosis effects by network pharmacology and in vitro experiments

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic disease with an unclear etiology and no effective treatment. This study aims to elucidate the pathogenic mechanism networks involving multiple targets and pathways in IPF. Extracts and metabolites of Astragali Radix (AR) and Angelicae Sinensis Radix (ASR), two well-known traditional Chinese medicines, have demonstrated therapeutic effects on IPF. However, the underlying mechanisms of AR and ASR remain unclear. Utilizing network pharmacology analysis, the disease targets associated with IPF were obtained from the GeneCards database and Online Mendelian Inheritance in Man (OMIM) database. Targets of AR and ASR were identified using the Traditional Chinese Medicine (TCM) Systems Pharmacology Database and Analysis Platform and Swiss Target Prediction. A proteinprotein interaction (PPI) network was subsequently constructed and analyzed using the STRING database and Cytoscape software. Gene ontology enrichment (GO) analysis and kyoto encyclopedia of genes and genomes (KEGG) analysis were conducted using DAVID. Additionally, a component-target-pathway network was employed to identify the main active components, and molecular docking was performed between these components and proteins encoded by key targets. Finally, in vitro studies were conducted based on network pharmacology. A total of 260 common targets between IPF and drug targets were identified and included in the PPI network, in which TNF, IL-6, STAT3, AKT1, VEGFA, SRC, EGFR, INS, JUN, and IL1B were predicted as key targets. These 260 targets were enriched in the PI3K-AKT signaling pathway, HIF-1 signaling pathway, TNF signaling pathway, MAPK signaling pathway, FOXO signaling pathway, and Pathways in cancer. Docking scores ranged from –4.1 to –9.5 kcal/mol, indicating a strong binding affinity between the main active compounds and key targets. In vitro studies have indeed shown that Quercetin and Magnolol can alleviate the expression of epithelial-mesenchymal transition in the A549 cells caused by IL-6. The treatment with AR and ASR resulted in a reduction of mRNA levels for key targets HIF-1α and α-SAM. Additionally, the protein expression levels of P-JAK2/JAK2, P-STAT3/STAT3, and α-SMA/β-Actin were also reduced. These results support the therapeutic potential of AR and ASR in ameliorating pulmonary fibrosis and provide insight into the molecular mechanisms involved in their therapeutic effects.