Lack of Association Between the IL1B (-511 and +3954), IL1RN VNTR Polymorphisms and Tuberculosis Risk: A Meta-analysis

Network pharmacology based research of mechanism of Fuzi Lizhong pills for treatment of intestinal tuberculosis

BACKGROUND

Conventional tuberculosis chemotherapy regimens used in clinical practice have significant side effects when treating intestinal tuberculosis (ITB). Fuzi Lizhong pills are a traditional Chinese medicine commonly used to treat ITB. Studying its exact mechanism of action can help further the research on the treatment of ITB.

AIM

To study the mechanism of Fuzi Lizhong pills for treatment of ITB based on network pharmacology.

METHODS

The active components of five main medicinal materials of Fuzi Lizhong pills were screened from the TCMSP database, and the effective component-related targets were collected from the TCMSP and Drugbank databases. The targets related to ITB were collected from the Genecards database. Through the Venny2.1.0 online website, the overlapping targets of drug active components and disease targets were selected as potential therapeutic targets for the treatment of ITB. Cytoscape3.9.1 software was used to construct a network of "drug-active ingredients-targets-disease". The protein-protein interaction (PPI) network of drug potential therapeutic targets was constructed in the online database String. Then, the topology and visualization were analyzed with Cytoscape3.9.1 software, and the core targets were further selected. The potential therapeutic targets were analyzed by Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses using the "clusterProfiler" package in R 4.1.2.

RESULTS

A total of 108 active drug components of Fuzi Lizhong pills, 254 drug action targets, and 2579 disease targets were screened from the public database. A total of 134 potential therapeutic targets and 10 core targets (AKT1, IL-6, TP53, VEGFA, IL1B, JUN, CASP3, PTGS2, PPARG, and MAPK3) were selected. GO and KEGG enrichment analyses suggested that the biological mechanism of Fuzi Lizhong pills for the treatment of ITB may be related to cellular oxidative stress, immune regulation involving cytokines, and functional pathways including the IL-17 signal pathway, oxidative stress pathway, and so on.

CONCLUSION

The mechanism of Fuzi Lizhong pills for treatment of ITB is related to oxidative stress and immune regulation of cytokines.

Identification of immune-related genes and susceptible population of pulmonary tuberculosis by constructing TF-miRNA-mRNA regulatory network

We aimed to explore the potential biomarkers and susceptible population for early diagnosis and treatment of tuberculosis (TB). Ten hub differentially expressed TB-related genes (DETRGs) from GSE83456 dataset were screened with the "limma" package and the GeneCards database. Unsupervised clustering was utilized to identify susceptible population among TB patients based on 10 hub DETRGs. TRANSFAC, MirTarbase, miRanda and TargetScan was used to predict microRNAs and transcription factors (TFs) and construct TF-miRNA-mRNA regulatory network. The results showed that a total of 266 DEGs were identified. Functional analysis mainly enriched in interferon pathway, cytokine and receptor interaction and host defense response to virus, while the four-module genes screened were closely related to interferon-γ signal transduction pathway as well. Based on 10 DETRGs, TB patients were divided into two clusters with significant differences in neutrophil function and 16 hub miRNAs and 10 hub TFs were predicted. Finally, NFATc1- (miR145) - STAT1 regulatory pathway was identified as the critical regulatory pathway, which mediates cytokine receptor binding, interleukin-1 receptor binding and TNF signaling pathway. Hence, we concluded that immunoheterogeneity exists among TB patients and NFATC1-(miR145)-STAT1 regulatory pathway might be associated with tuberculosis infection, which may be valuable targets for prevention and treatment of tuberculosis.

Genetic Polymorphisms of IL1B, IL6, and TNFα in a Chinese Han Population with Pulmonary Tuberculosis

Background

The factors that predispose to pulmonary tuberculosis (PTB) are not fully understood. Previous studies have shown that cytokine gene polymorphisms were associated with PTB.

Objectives

In this study, we have investigated the relationship between ILB, IL6, and TNFα polymorphisms and a predisposition to Mycobacterium tuberculosis (MTB) infection and PTB.

Methods

A total of 209 cases of PTB, 201 subjects with latent TB infection (LTBI), and 204 healthy controls (HCS) were included in this study. Logistic regression analyses under allelic, homozygous, and heterozygous models were used to calculate P values, odds ratios (ORs), and 95% confidence intervals (CIs) for assessing the association between single nucleotide polymorphisms (SNPs) and disease risk, adjusting for sex and age. Genotyping was conducted using the improved multiplex ligase detection reaction (iMLDR) method.

Results

When comparing PTB patients with LTBI subjects, significant associations with disease development were observed for SNPs of IL6 and TNFα. When comparing LTBI subjects with HCS, IL1B polymorphisms were significantly associated with LIBI. Haplotype analyses suggested that the CGG haplotype of IL1B was associated with an increased risk of PTB (P = 0.039, OR = 1.34, 95% CI: 1.01–1.76), while the TTGCG haplotype of TNFα was a protective factor against PTB (P = 0.039, OR = 0.66, 95% CI: 0.44–0.98).

Conclusion

Our study demonstrated that IL1B variants were related to LTBI and IL6 and TNFα variants were associated with PTB.

Interleukin-17 A and F gene polymorphisms affect the risk of tuberculosis: An updated meta-analysis

BACKGROUND

Cytokines are fundamental elements in mediating and stimulating the immune response against tuberculosis (TB). Growing evidence indicated that polymorphisms in the interleukin-17 (IL-17) A and F genes are implicated in TB.

OBJECTIVES

This meta-analysis was aimed to re-evaluate and update the relationship between IL-17A rs2275913 G/A and IL17F rs763780 T/C polymorphisms and TB risk.

METHODS

Using inclusive searches of the PubMed, MEDLINE, EMBASE, Web of Science and Elsevier Science Direct, we identified outcome data from all articles estimating the association between IL-17 A and F polymorphisms and TB risk.

RESULTS

A total of 15 studies comprising 7130 patients and 7540 controls were included. Our pooled analysis demonstrated that the IL-17A rs2275913 G/A SNP was not associated with the risk of TB in overall, or in Asians and Caucasians, but it conferred resistance to TB in Latin Americans using allele (OR=0.53), codominant (OR=0.53 and 0.38), dominant (OR=0.49) and recessive (OR=0.46) inheritance models. For IL-17F rs763780 T/C, the pooled evidence indicated that this variation was a risk factor for TB in allele (C vs T) and dominant (TC+CC vs TT) models in overall (OR of 1.35) and among Asians (OR=1.40), but not in Caucasians.

CONCLUSION

In summary, our meta-analysis suggested that the IL-17A rs2275913 was a protective factor against TB, but -17F rs763780 T/C was a risk factor for TB.

Association Analysis of Interleukin-17 Gene Polymorphisms with the Risk Susceptibility to Tuberculosis

BACKGROUND

Recently, many institutions have investigated the associations of interleukin-17 (IL17) polymorphisms with tuberculosis (TB) susceptibility, while those results are inconsistent. The purpose of this meta-analysis is to comprehensively assess whether IL17A rs22275913, IL17F rs763780, and IL17A rs3748067 polymorphisms are correlated with TB risk.

METHODS

Electronic bibliographic databases were searched for case-control studies which potentially focused on the relationship between the aforementioned polymorphisms and TB risk on October 15th, 2015. Pooled odds ratios (OR) combined with 95 % confidence intervals (CI) were employed to assess the associations.

RESULTS

There was no significant association of IL-17A rs22275913 polymorphism with susceptibility to TB in Asians or Caucasians. For IL-17A rs3748067 polymorphism, significant associations were observed in Asian (T vs. C: OR 1.461, 95 % CI 1.158-1.844, P = 0.001; TT vs. CC: OR 1.871, 95 % CI 1.140-3.069, P = 0.013; TT/TC vs. CC: OR 1.392 95 % CI 1.062-1.825, P = 0.017; TT vs.

TC/CC

OR 1.820, 95 % CI 1.111-2.981, P = 0.017). For IL-17F rs763780, we detected the significant associations under allele contrast, heterozygote, dominant and recessive models (C vs. T: OR 1.571, 95 % CI 1.352-1.824, P = 0.000; CT vs. TT: OR 1.624, 95 % CI 1.346-1.958, P = 0.000; CT/TT vs. TT: OR 1.639, 95 % CI 1.381-1.946, P = 0.000, respectively). The corresponding results were also detected in Asian populations (C vs. T: OR 1.068, 95 % CI 1.380-1.875, P = 0.000; CT vs. TT: OR 1.689, 95 % CI 1.390-2.053, P = 0.000; CT/TT vs. TT: OR 1.695, 95 % CI 1.420-2.023, P = 0.000), while there were no significant associations in Caucasian.

CONCLUSION

IL-17F rs763780 allele C and IL-17A rs3748067 allele C may be involved in the susceptibility to TB in Asian populations. There were no significant associations between IL-17A rs22275913 polymorphism and risk of TB.