Chandipura virus changes cellular miRNome in human microglial cells

Identification of potential immune-related hub genes in Parkinson's disease based on machine learning and development and validation of a diagnostic classification model

BACKGROUND

Parkinson's disease is the second most common neurodegenerative disease in the world. However, current diagnostic methods are still limited, and available treatments can only mitigate the symptoms of the disease, not reverse it at the root. The immune function has been identified as playing a role in PD, but the exact mechanism is unknown. This study aimed to search for potential immune-related hub genes in Parkinson's disease, find relevant immune infiltration patterns, and develop a categorical diagnostic model.

METHODS

We downloaded the GSE8397 dataset from the GEO database, which contains gene expression microarray data for 15 healthy human SN samples and 24 PD patient SN samples. Screening for PD-related DEGs using WGCNA and differential expression analysis. These PD-related DEGs were analyzed for GO and KEGG enrichment. Subsequently, hub genes (dld, dlk1, iars and ttd19) were screened by LASSO and mSVM-RFE machine learning algorithms. We used the ssGSEA algorithm to calculate and evaluate the differences in nigrostriatal immune cell types in the GSE8397 dataset. The association between dld, dlk1, iars and ttc19 and 28 immune cells was investigated. Using the GSEA and GSVA algorithms, we analyzed the biological functions associated with immune-related hub genes. Establishment of a ceRNA regulatory network for immune-related hub genes. Finally, a logistic regression model was used to develop a PD classification diagnostic model, and the accuracy of the model was verified in three independent data sets. The three independent datasets are GES49036 (containing 8 healthy human nigrostriatal tissue samples and 15 PD patient nigrostriatal tissue samples), GSE20292 (containing 18 healthy human nigrostriatal tissue samples and 11 PD patient nigrostriatal tissue samples) and GSE7621 (containing 9 healthy human nigrostriatal tissue samples and 16 PD patient nigrostriatal tissue samples).

RESULTS

Ultimately, we screened for four immune-related Parkinson's disease hub genes. Among them, the AUC values of dlk1, dld and ttc19 in GSE8397 and three other independent external datasets were all greater than 0.7, indicating that these three genes have a certain level of accuracy. The iars gene had an AUC value greater than 0.7 in GES8397 and one independent external data while the AUC values in the other two independent external data sets ranged between 0.5 and 0.7. These results suggest that iars also has some research value. We successfully constructed a categorical diagnostic model based on these four immune-related Parkinson's disease hub genes, and the AUC values of the joint diagnostic model were greater than 0.9 in both GSE8397 and three independent external datasets. These results indicate that the categorical diagnostic model has a good ability to distinguish between healthy individuals and Parkinson's disease patients. In addition, ceRNA networks reveal complex regulatory relationships based on immune-related hub genes.

CONCLUSION

In this study, four immune-related PD hub genes (dld, dlk1, iars and ttd19) were obtained. A reliable diagnostic model for PD classification was developed. This study provides algorithmic-level support to explore the immune-related mechanisms of PD and the prediction of immune-related drug targets.

MicroRNA-155 triggers a cellular antiviral immune response against Chandipura virus in human microglial cells

Chandipura virus (CHPV) belongs to the family Rhabdoviridae and has a single-stranded RNA genome that causes encephalitis among children in India's tropical states. Activation of the antiviral immune response upon viral infection is important for the host's defense. In response to CHPV infection, the brain resident macrophages (microglial cells) control the pathogenic insults. The microRNAs (miRNAs) are 22 nts non-coding RNAs that serve as delicate regulators of their target genes at the post-transcriptional level. In this study, we explored miR-155 mediated antiviral response in CHPV infected human microglial cells. The gene and protein expression patterns were studied through quantitative real-time PCR (qPCR) and immunoblotting, respectively. Additionally, miRNA target validation was done by overexpression and knockdown of miR-155. We observed an increased expression of miR-155 in CHPV infected human microglial cells. The upregulated miR-155 suppresses the Suppressor of Cytokine Signalling 1 (SOCS1). Reduced SOCS1, in turn, led to enhanced phosphorylation of Signal Transducer and Activator of Transcription 1 (STAT1) and induction of Interferon-β (IFN-β), which promoted the expression of IFN-stimulated gene 54 (ISG54) and IFN-stimulated gene 56 (ISG56). In this study, miR-155 positively modulated the cellular antiviral response by enhancing type I IFN signalling through inhibition of SOCS1 in CHPV infected microglial cells.

Chandipura virus dysregulates the expression of hsa-miR-21-5p to activate NF-κB in human microglial cells

Background

Chandipura virus (CHPV) is a negative single-stranded RNA virus of the Rhabdoviridae family. CHPV infection has been reported in Central and Western India. CHPV causes acute encephalitis with a case fatality rate of 70 % and mostly affects children below 15 years of age. CHPV infection in brain leads to neuronal apoptosis and activation of the microglial cells. The microRNAs (miRNAs) are small endogenous non-coding RNA that regulate the gene expression. Viral infections perturb the expression pattern of cellular miRNAs, which may in turn affect the expression pattern of downstream genes. This study aims to investigate hsa-miR-21-5p mediated regulation of PTEN, AKT, NF-ĸBp65, IL-6, TNF-α, and IL-1β, in human microglial cells during CHPV infection.

Methods

To understand the role of hsa-miR-21-5p in CHPV infection, the human microglial cells were infected with CHPV (MOI-0.1). Real-time PCR, western blotting, Luciferase assay, over-expression and knockdown techniques were used to understand the role of hsa-miR-21-5p in the regulation of PTEN, AKT and, NF-ĸBp65, IL-6, TNF-α, and IL-1β in this study.

Results

The hsa-miR-21-5p was found to be upregulated during CHPV infection in human microglial cells. This led to the downregulation of PTEN which promoted the phosphorylation of AKT and NF-ĸBp65. Over-expression of hsa-miR-21-5p led to the decreased expression of PTEN and promoted further phosphorylation of AKT and NF-ĸBp65 in human microglial cells. However, the inhibition of hsa-miR-21-5p using hsa-miR-21-5p inhibitor restored the expression.

Conclusions

This study supports the role of hsa-miR-21-5p in the regulation of pro-inflammatory genes in CHPV infected human microglial cells.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12929-021-00748-0.

Long Intergenic Non-Protein Coding RNA 01089 Weakens Tumor Proliferation, Migration, and Invasion by Sponging miR-3187-3p in Non-Small Cell Lung Cancer

Background

Long non-coding RNAs (lncRNAs), a class of endogenous non-coding RNAs, play an important role in the development and metastasis of non-small cell lung cancer (NSCLC). However, the function and mechanism of action of long intergenic non-protein coding RNA 1089 (LINC01089) in NSCLC remains unclear. This study aimed to identify the role of LINC01089 in cell proliferation, migration, and invasion of NSCLC.

Methods

Expression of LINC01089 and the relationship between LINC01089 and overall survival (OS) in NSCLC were determined using GEPIA 2.0. Similarly, microRNAs (miRNAs) that showed increased expression in NSCLC and correlated with OS were identified using the online OncomiR cancer database. Target miRNAs of LINC01089 were predicted using starBase. Cell models of LINC01089 and miR-3187-3p overexpression were constructed using transfection. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed to analyze the expression of LINC01089 and miR-3187-3p. MTS assay was used to assess cell proliferation. Transwell was used for migration and invasion assays.

Results

LINC01089 expression was significantly reduced in NSCLC tissues and cells. Gain-of-function studies further demonstrated that LINC01089 overexpression inhibited proliferation, migration, and invasion of lung cancer cell lines, A549 and SK-MES-1. Based on starBase prediction and subsequent verification, we revealed that miR-3187-3p is a target miRNA of LINC01089. Additionally, miR-3187-3p expression was significantly increased in NSCLC tissues and cells. Overexpression of miR-3187-3p promoted proliferation, migration, and invasion of A549 and SK-MES-1 cells, thereby reversing the effect of LINC01089.

Conclusion

LINC01089 attenuates tumor proliferation, migration, and invasion by sponging miR-3187-3p in NSCLC. LINC01089 acts as a tumor suppressor and represents a potential therapeutic target in NSCLC.