Involvement of Depressive Catecholamines as Thrombosis Risk/Inflammatory Markers in Non-Smoker, Non-Obese Congestive Heart Failure, Linked to Increased Epidermal Growth Factor-Receptor (EGF-R) Production

In silico analysis and comprehensive review of circular-RNA regulatory roles in breast diseases; a step-toward non-coding RNA precision

In the current comprehensive review, we first highlighted circRNAs, which are key ncRNAs. Next, we discussed the relationships among circRNAs and breast cancer subtypes via in silico databases analysis and extensive literature search. CircRNAs, that sponge miRNA axes or act as silencers of oncogenic mRNAs, have been extensively addressed in the context of this review. During BC pathogenesis, the circRNA/microRNA/messenger RNA (mRNA) axis plays a major role in disease growth, progression, and survival/resistance and could be targeted for improved treatment options. This review also aimed to address oncogenic and tumor suppressor mRNAs, which are regulated by various circRNAs in BC. Moreover, we mentioned the relation of different circRNAs with cancer hallmarks, patient survival together with drug resistance. Additionally, we discussed circRNAs as vaccines and biomarkers in BC. Finally, we studied exosomal circRNAs as a hot interesting area in the research. REVIEW SIGNIFICANCE: Via using in silico databases, bioinformatics analysis, and a thorough literature search to first highlight circRNA as a crucial ncRNA and its biogenesis, and then we explored the connection between circRNA and breast illnesses. In the framework of the review, circRNA sponged-miRNAs axis or as silencers to oncogenic mRNAs were extensively discussed. In the pathophysiology of BC, the circular RNA/microRNA/messenger RNA axis is crucial for the propagation of the disease and resistance that may be targeted for more effective treatment options, in order to confront tumor suppressor and oncogenic mRNAs that are presently regulated by circRNAs in BC. For better patient results, we advised further mechanistic research to elucidate additional ncRNA axis that may be targeted for the therapy of BC and for prognosis/ or early diagnosis.

The antitumour efficacy of hesperidin vs. cisplatin against non-small lung cancer cells A549 and H460 via targeting the miR-34a/PD-L1/NF-κB signalling pathway

Introduction

Lung cancer is the most common type of cancer, causing worldwide mortality. Therefore, this study is necessary for continuing research into new effective and safe treatments. Recently, herbal medicines have been used for the treatment of various diseases such as cancer. This study aimed to investigate the potential anti-proliferative activity and investigate the mechanisms of hesperidin extract on the non-small lung cancer cells A549 and H460 vs. cisplatin via targeting the miR 34a/PD-L1/NF-κB signalling pathway.

Material and methods

To determine the cytotoxic effects of the hesperidin extract on non-small lung cancer cells, sulphorhdamine B assay was performed. To show the inhibition of migration by hesperidin extract, wound healing assay was conducted. A quantitative polymerase chain reaction test was used to quantify the expressions of miR-34a, programmed cell death ligand-1 (PDL-1), epidermal growth factor receptor (EGFR), and P53 genes, which are involved in apoptosis pathway. Also, cell cycle assay was performed by using a flow cytometer.

Results

The hesperidin extract could significantly inhibit proliferation of non-small lung cancer cells A549 and H460. Western blot assay demonstrated that hesperidin induced suppression of nuclear factor κB signalling pathway. The messenger RNA expression levels of MiR-34a and P53 were up-regulated significantly by hesperidin treatment, while the EGFR and P53 genes were down-regulated. The flow cytometer confirmed that cell cycle arrest occurred at the sub-G1 and G2 phases in A549 and H460, respectively.

Conclusions

Our study demonstrated that hesperidin extract could significantly inhibit non-small lung cancer cell growth by induction of the apoptosis signalling pathway. Therefore, hesperidin might open novel strategies for effective and safe cancer treatment and reduce the adverse side effects of several chemotherapeutic treatments such as cisplatin.

Combining LC-MS/MS profiles with network pharmacology to predict molecular mechanisms of the hyperlipidemic activity of Lagenaria siceraria stand

ETHNOPHARMACOLOGICAL RELEVANCE

Lagenaria siceraria Stand. (Family: Cucurbitaceae), popularly known as bottle gourd, is traditionally used in Ayurvedic medicine as a food plant, especially in hypertension and obesity.

AIM OF THE STUDY

Investigations were undertaken to assign novel lead combinations from this common food plant to multi-molecular modes of actions in the complex disease networks of obesity and hypertension. LC-MS/MS based metabolite screening, in-vivo high fat diet induced hyperlipidemia animal study and network pharmacology explorations of the mechanism of action for lipid lowering effects including a neighbourhood community approach for molecular combinations were performed.

MATERIAL AND METHODS

Major chemical constituents of the fruits of LS (LSFE) were analysed by HPLC-DAD-MS/MS-QTOF. Wistar albino rats (n = 36), divided into 6 groups (n = 6) received either no treatment or a high-fat diet along with LSFE or Atorvastatin. Lipid profiles and biochemical parameters were evaluated. In silico cross-validated network analyses using different databases and Cytospace were applied.

RESULTS

Profiling of LSFE revealed 18 major constituents: phenolic acids like p-Coumaric acid and Ferulic acid, the monolignolconferyl alcohol, the flavonoid glycosides hesperidin and apigenin-7-glucoside. Hyperlipidemic animals treated with LSFE (200 mg/kg, 400 mg/kg, 600 mg/kg) showed a significant improvement of their lipid profiles after 30 days of treatment. Network pharmacology analyses for the major 18 compounds revealed enrichment of the insulin and the ErbB signalling pathway. Novel target node combinations (e.g. AKR1C1, AGXT) including their connection to different pathways were identified in silico.

CONCLUSIONS

The combined in vivo and bioinformatics analyses propose that lead compounds of LSFE act in combination on relevant targets of hyperlipidemia. Perturbations of the IRS→Akt→Foxo1 cascade are predicted which suggest further clinical investigation towards development of safe natural alternative to manage hyperlipidemia.

Thrombosis-related circulating miR-16-5p is associated with disease severity in patients hospitalised for COVID-19

SARS-CoV-2 tropism for the ACE2 receptor, along with the multifaceted inflammatory reaction, is likely to drive the generalized hypercoagulable and thrombotic state seen in patients with COVID-19. Using the original bioinformatic workflow and network medicine approaches we reanalysed four coronavirus-related expression datasets and performed co-expression analysis focused on thrombosis and ACE2 related genes. We identified microRNAs (miRNAs) which play role in ACE2-related thrombosis in coronavirus infection and further, we validated the expressions of precisely selected miRNAs-related to thrombosis (miR-16-5p, miR-27a-3p, let-7b-5p and miR-155-5p) in 79 hospitalized COVID-19 patients and 32 healthy volunteers by qRT-PCR. Consequently, we aimed to unravel whether bioinformatic prioritization could guide selection of miRNAs with a potential of diagnostic and prognostic biomarkers associated with disease severity in patients hospitalized for COVID-19. In bioinformatic analysis, we identified EGFR, HSP90AA1, APP, TP53, PTEN, UBC, FN1, ELAVL1 and CALM1 as regulatory genes which could play a pivotal role in COVID-19 related thrombosis. We also found miR-16-5p, miR-27a-3p, let-7b-5p and miR-155-5p as regulators in the coagulation and thrombosis process. In silico predictions were further confirmed in patients hospitalized for COVID-19. The expression levels of miR-16-5p and let-7b in COVID-19 patients were lower at baseline, 7-days and 21-day after admission compared to the healthy controls (p < 0.0001 for all time points for both miRNAs). The expression levels of miR-27a-3p and miR-155-5p in COVID-19 patients were higher at day 21 compared to the healthy controls (p = 0.007 and p < 0.001, respectively). A low baseline miR-16-5p expression presents predictive utility in assessment of the hospital length of stay or death in follow-up as a composite endpoint (AUC:0.810, 95% CI, 0.71-0.91, p < 0.0001) and low baseline expression of miR-16-5p and diabetes mellitus are independent predictors of increased length of stay or death according to a multivariate analysis (OR: 9.417; 95% CI, 2.647-33.506; p = 0.0005 and OR: 6.257; 95% CI, 1.049-37.316; p = 0.044, respectively). This study enabled us to better characterize changes in gene expression and signalling pathways related to hypercoagulable and thrombotic conditions in COVID-19. In this study we identified and validated miRNAs which could serve as novel, thrombosis-related predictive biomarkers of the COVID-19 complications, and can be used for early stratification of patients and prediction of severity of infection development in an individual.Abbreviations: ACE2, angiotensin-converting enzyme 2AF, atrial fibrillationAPP, Amyloid Beta Precursor ProteinaPTT, activated partial thromboplastin timeAUC, Area under the curveAβ, amyloid betaBMI, body mass indexCAD, coronary artery diseaseCALM1, Calmodulin 1 geneCaM, calmodulinCCND1, Cyclin D1CI, confidence intervalCOPD, chronic obstructive pulmonary diseaseCOVID-19, Coronavirus disease 2019CRP, C-reactive proteinCV, CardiovascularCVDs, cardiovascular diseasesDE, differentially expressedDM, diabetes mellitusEGFR, Epithelial growth factor receptorELAVL1, ELAV Like RNA Binding Protein 1FLNA, Filamin AFN1, Fibronectin 1GEO, Gene Expression OmnibushiPSC-CMs, Human induced pluripotent stem cell-derived cardiomyocytesHSP90AA1, Heat Shock Protein 90 Alpha Family Class A Member 1Hsp90α, heat shock protein 90αICU, intensive care unitIL, interleukinIQR, interquartile rangelncRNAs, long non-coding RNAsMI, myocardial infarctionMiRNA, MiR, microRNAmRNA, messenger RNAncRNA, non-coding RNANERI, network-medicine based integrative approachNF-kB, nuclear factor kappa-light-chain-enhancer of activated B cellsNPV, negative predictive valueNXF, nuclear export factorPBMCs, Peripheral blood mononuclear cellsPCT, procalcitoninPPI, Protein-protein interactionsPPV, positive predictive valuePTEN, phosphatase and tensin homologqPCR, quantitative polymerase chain reactionROC, receiver operating characteristicSARS-CoV-2, severe acute respiratory syndrome coronavirus 2SD, standard deviationTLR4, Toll-like receptor 4TM, thrombomodulinTP53, Tumour protein P53UBC, Ubiquitin CWBC, white blood cells.