Expression profiles and potential roles of serum tRNA‑derived fragments in diabetic nephropathy

Diabetic nephropathy (DN) is one of the most important causes of end-stage renal disease and current treatments are ineffective in preventing its progression. Transfer RNA (tRNA)-derived fragments (tRFs), which are small non-coding fragments derived from tRNA precursors or mature tRNAs, have a critical role in various human diseases. The present study aimed to investigate the expression profile and potential functions of tRFs in DN. High-throughput sequencing technology was employed to detect the differential serum levels of tRFs between DN and diabetes mellitus and to validate the reliability of the sequencing results using reverse transcription-quantitative PCR. Ultimately, six differentially expressed (DE) tRFs were identified (P<0.05; |log2fold change| ≥1), including three upregulated (tRF5-GluCTC, tRF5-AlaCGC and tRF5-ValCAC) and three downregulated tRFs (tRF5-GlyCCC, tRF3-GlyGCC and tRF3-IleAAT). Potential functions and regulatory mechanisms of these DE tRFs were further evaluated using an applied bioinformatics-based analysis. Gene ontology analysis revealed that the DE tRFs are mainly enriched in biological processes, including axon guidance, Rad51 paralog (Rad51)B-Rad51C-Rad51D-X-Ray repair cross-complementing 2 complex, nuclear factor of activated T-cells protein binding and fibroblast growth factor-activated receptor activity. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis indicated that they are associated with axon guidance, neurotrophin signaling, mTOR signaling, AMPK signaling and epidermal growth factor receptor family signaling pathways. In conclusion, the present findings indicated that tRFs were DE in DN and may be involved in the regulation of DN pathology through multiple pathways, thereby providing a new perspective for the study of DN therapeutic targets.

Chemical constituents and synergistic anti-gout studies on Eurycoma longifolia and potential mechanisms evaluation based on systemic analysis approach

37 compounds mainly including triterpenoids with the quassinoid skeleton and β-carboline alkaloids have been isolated from the roots of Eurycoma longifolia Jack (EL), which has been used as traditional medicine for a long history. It has been demonstrated that the total extracts from EL could significantly inhibit the joint swelling in MSU-induced acute gout arthritis rat model at middle and high doses (P < 0.05, P < 0.01), as meanwhile, better performance than that of positive control (P < 0.05, P < 0.01) has been observed at the dose of 10 g/kg. Aiming to search potential compounds and probable mechanisms, network pharmacology, molecular docking and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were adopted, leading to the hypothesis of 17 targets related to different pathogenesis of gout and 5 potential compounds (C36, C107, C124, C125 and C130) among 156 selected compounds, playing synergetic role with multiple targets. Instead of the guiding ideology of "a gene, a drug, a disease", varieties of compounds but not a single one from EL display holistic performance through multiple pathways with multi-targets. It was noteworthy that Xanthine dehydrogenase/oxidase (XDH), Prostaglandin G/H synthase 2 (PTGS2), Fatty acid-binding protein, liver (FABP1), Purine nucleoside phosphorylase (PNP), and Peroxisome proliferator activated receptor alpha (PPARA) were the key targets with intensely interaction. Furthermore, the functional enrichment analysis indicated that EL probably produced the gout protection effects by synergistic regulation in multiple biological pathways, including Toll-like receptor signaling pathway, MAPK signaling pathway, and NOD-like receptor signaling pathway, etc.

Revealing synergistic mechanism of multiple components in Stauntonia brachyanthera Hand.-Mazz. for gout by virtual screening and system pharmacological approach

Stauntonia brachyanthera Hand.-Mazz. (SB), reported as a traditional Chinese medicine, displays a wide spectrum of interesting bioactivities, such as anti-inflammatory and analgesia. It is noteworthy that anti-gout effects of the components in SB have been reported. Hence, this study contributes to the prediction of promising active compounds and mechanisms for the treatment of gout. The active compounds with better oral bioavailability, and drug-likeness of SB were selected for further investigation by the approach of network pharmacology, molecular docking, gene ontology (GO) analysis, and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis, respectively. A total of 34 predicted targets and 98 compounds in SB were obtained. Sorted by structure types of compounds, phenylethanoid glycosides exhibited the best anti-gout activity, followed by phenolics and flavonoids. What's more, it was shown in the network analysis that Serine/threonine-protein kinase mTOR (mTOR), Mitogen-activated protein kinase 12 (MAPK12), tumor necrosis factor (TNF-α), Integrin alpha-4 (ITGA4) and Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit gamma (PIK3CG) were the key targets with intensely interaction, which should be attached more attention for further study. The functional enrichment analysis indicated that SB probably produced the anti-gout effects by synergistically regulating many biological pathways, such as MAPK signaling pathway, PI3K-Akt signaling pathway, Toll-like receptor signaling pathway and NOD-like receptor signaling pathway, etc. In addition, C61, C67, C68 and C81 might be promising leading compounds with good molecular docking score. As a consequence, the active constituents and mechanisms based on data analysis were holistically illuminated, which was of vital importance to the development of new drugs for gout.

De Novo RNA Sequencing and Expression Analysis of Aconitum carmichaelii to Analyze Key Genes Involved in the Biosynthesis of Diterpene Alkaloids

Aconitum carmichaelii is an important medicinal herb used widely in China, Japan, India, Korea, and other Asian countries. While extensive research on the characterization of metabolic extracts of A. carmichaelii has shown accumulation of numerous bioactive metabolites including aconitine and aconitine-type diterpene alkaloids, its biosynthetic pathway remains largely unknown. Biosynthesis of these secondary metabolites is tightly controlled and mostly occurs in a tissue-specific manner; therefore, transcriptome analysis across multiple tissues is an attractive method to identify the molecular components involved for further functional characterization. In order to understand the biosynthesis of secondary metabolites, Illumina-based deep transcriptome profiling and analysis was performed for four tissues (flower, bud, leaf, and root) of A. carmichaelii, resulting in 5.5 Gbps clean RNA-seq reads assembled into 128,183 unigenes. Unigenes annotated as possible rate-determining steps of an aconitine-type biosynthetic pathway were highly expressed in the root, in accordance with previous reports describing the root as the accumulation site for these metabolites. We also identified 21 unigenes annotated as cytochrome P450s and highly expressed in roots, which represent candidate unigenes involved in the diversification of secondary metabolites. Comparative transcriptome analysis of A. carmichaelii with A. heterophyllum identified 20,232 orthogroups, representing 30,633 unigenes of A. carmichaelii, gene ontology enrichment analysis of which revealed essential biological process together with a secondary metabolic process to be highly enriched. Unigenes identified in this study are strong candidates for aconitine-type diterpene alkaloid biosynthesis, and will serve as useful resources for further validation studies.

A combinative analysis of gene expression profiles and microRNA expression profiles identifies critical genes and microRNAs in oral lichen planus

OBJECTIVE

Oral lichen planus (OLP) is a chronic inflammatory disease but aetiology and pathogenesis has not fully elucidated. To gain insight into the mechanism of OLP, bioinformatic analysis was performed in this study.

DESIGN

GSE38616 and GSE38615 were downloaded from GEO, including 7 cases of OLP and 7 healthy controls. Differentially expressed genes (DEGs) and miRNAs (DEMs) between OLP and control were screened with package Limma of R. Potential regulatory miRNAs were screened via gene set enrichment analysis. A protein-protein interaction network was constructed for the DEGs. KEGG pathways for DEGs were revealed using Gene Set Analysis Toolkit V2.

RESULTS

After DEGs and DEMs were obtained, potential regulatory miRNAs of the DEGs were revealed and only miR-362 was differentially expressed in OLP compared with DEMs. Four targets of miR-362 were SLIT-ROBO Rho GTPase activating protein 2 (SRGAP2), vesicle-associated membrane protein 4 (VAMP4), leucine rich repeat transmembrane neuronal 4 (LRRTM4) and lysine (K)-specific demethylase5C (KDM5C). Identified DEGs were significantly enriched in olfactory transduction and ribosome pathways.

CONCLUSION

miR-362, targeting SRGAP2 and VAMP4, may be a potential risk miRNA to regulate OLP. The findings may provide potential biomarkers for diagnosis or treatment of the disease.