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      MicroRNA‑17‑5p alleviates sepsis‑related acute kidney injury in mice by modulating inflammation and apoptosis

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          Abstract

          Septic acute kidney injury (AKI) is considered as a severe and frequent complication that occurs during sepsis. Mounting evidence has confirmed the pivotal pathogenetic roles of microRNA (miRNA or miR) in sepsis-induced AKI; however, the role of miRNAs and their underlying mechanisms in sepsis-induced AKI have not been entirely understood. The present study aimed to elucidate the functions of special miRNAs during sepsis-induced AKI and its underlying mechanism. First, a number of differently expressed miRNAs was identified based on the microarray dataset GSE172044. Subsequently, lipopolysaccharide (LPS) was used to induce AKI in mice, and the role of miR-17-5p on AKI was clarified. Finally, the related molecular mechanisms were further examined by western blotting and immunohistochemical analysis. MiR-17-5p was found to be continuously decreased and reached the bottom at h 24 after AKI in mice. Functionally, injection of agomiR-17-5p could observably improve renal injury and survival rate, as well as inhibit inflammatory cytokine production and renal cell apoptosis in mice after AKI. On the contrary, injection of antagomiR-17-5p aggravated LPS-induced renal injury, inflammation and apoptosis in mice after AKI. Moreover, transforming growth factor β receptor 2 (TGFβR2) was identified as a direct target of miR-17-5p, and its downstream phosphorylated Smad3 was also suppressed by miR-17-5p upregulation. Taken together, these results demonstrated that miR-17-5p overexpression may exhibit a beneficial effect by attenuating LPS-induced inflammation and apoptosis via regulating the TGFβR2/TGF-β/Smad3 signaling pathway, indicating that miR-17-5p could act as a potential target for sepsis treatment.

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          Most cited references52

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            limma powers differential expression analyses for RNA-sequencing and microarray studies

            limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
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              MicroRNAs: target recognition and regulatory functions.

              MicroRNAs (miRNAs) are endogenous approximately 23 nt RNAs that play important gene-regulatory roles in animals and plants by pairing to the mRNAs of protein-coding genes to direct their posttranscriptional repression. This review outlines the current understanding of miRNA target recognition in animals and discusses the widespread impact of miRNAs on both the expression and evolution of protein-coding genes.
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                Author and article information

                Journal
                Mol Med Rep
                Mol Med Rep
                Molecular Medicine Reports
                D.A. Spandidos
                1791-2997
                1791-3004
                August 2024
                14 June 2024
                14 June 2024
                : 30
                : 2
                : 139
                Affiliations
                [1 ]Emergency Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, P.R. China
                [2 ]Department of Emergency Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 20023, P.R. China
                Author notes
                Correspondence to: Professor Shuming Pan or Professor Xiaoli Ge, Emergency Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Yangpu, Shanghai 200092, P.R. China, E-mail: gexiaolialiyun.com panshuming@ 123456xinhuamed.com.cn
                [*]

                Contributed equally

                Article
                MMR-30-2-13263
                10.3892/mmr.2024.13263
                11200053
                38904199
                2aac36b9-cf41-42fa-ad55-213566a31c1b
                Copyright: © 2024 Sun et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

                History
                : 22 November 2023
                : 23 January 2024
                Funding
                Funding: No funding was received.
                Categories
                Articles

                sepsis-induced acute kidney injury,microrna-17-5p,transforming growth factor β receptor 2,smad3

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