Dual RNAseq of human leprosy lesions identifies bacterial determinants linked to host immune response
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens Mycobacterium leprae
PROVIDER: GSE125943 | GEO | 2019/03/26
REPOSITORIES: GEO
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Project description:The initial interaction between a microbial pathogen and the host immune response influences the outcome of the battle between the host and the foreign invader. Leprosy, caused by the obligate intracellular pathogen Mycobacterium leprae, provides a model to study relevant human immune responses. Previous studies have adopted a targeted approach to investigate host response to M. leprae infection, focusing on the induction of specific molecules and pathways. By measuring the host transcriptome triggered by M. leprae infection of human macrophages, we were able to detect a host gene signature 24–48 hours after infection characterized by specific innate immune pathways involving the cell fate mechanisms autophagy and apoptosis. The top upstream regulator in the M. leprae-induced gene signature was NUPR1, which is found in the M. leprae-induced cell fate pathways. The induction of NUPR1 by M. leprae was dependent on the production of the type I interferon (IFN), IFN-β. Furthermore, NUPR1 mRNA and protein were upregulated in the skin lesions from patients with the multibacillary form of leprosy. Together, these data indicate that M. leprae induces a cell fate program which includes NUPR1 as part of the host response in the progressive form of leprosy
2019-01-31 | GSE120959 | GEO
Project description:Leprosy is a human infectious disease caused by Mycobacterium leprae. A strong host genetic contribution to leprosy susceptibility is well established. However, the modulation of the transcriptional response to infection and the mechanism(s) of disease control are poorly understood. To address this gap in knowledge of leprosy pathogenicity, we conducted a genome-wide search for expression quantitative trait loci (eQTL) that are associated with transcript variation –– before and after stimulation with M. leprae sonicate in whole blood cells. We show that M. leprae antigen stimulation mainly triggered the upregulation of immune related genes and that a substantial proportion of the differential gene expression is genetically controlled. Indeed, using stringent criteria, we identified 318 genes displaying cis-eQTL at an FDR of 0.01, including 66 genes displaying response-eQTL (reQTL), i.e. cis-eQTL that showed significant evidence for interaction with the M. leprae stimulus. Such reQTL correspond to regulatory variations that affect the interaction between human whole blood cells and M. leprae sonicate, and thus likely between the human host and M. leprae bacilli. We found that reQTL are significantly enriched among binding sites of transcription factors that are activated in response to infection, and that they were enriched among single nucleotide polymorphisms (SNPs) associated with susceptibility to leprosy per se and Type-I Reaction, as well as SNPs targeted by recent positive selection. Our study suggests that natural selection shaped our genomic diversity to face pathogen exposure including M. leprae infection.
2017-07-07 | GSE100853 | GEO
Project description:Here we report the data generated by short-read sequencing of mRNA (polyA) isolated from granuloma annulare and leprosy skin lesions. Our main aim was to identify putative mRNA biomarkers for distinguishing leprosy from other differential diagnoses. Additionally, we also explored the distinction between MB and PB by using differential expression analysis as well as training a penalized logistic regression to select important features. Our results showed that few genes are enough to differentiate leprosy lesions, including paucibacillary cases, from other morphological and histopathological similar skin diseases. Some of these genes have been replicated in a larger and more heterogeneous sample with RT-qPCR, validating their classification potential. We also suggest important novel gene candidates to improve our understanding of molecular differences between MB and PB lesions, which could either pinpoint new pathways and targets for host-based specialized adjuvant treatment for leprosy. Finally, this dataset has been used to explore the relationship between cornification and keratinocyte-related genes and TGFB-mediated epithelial-mesenchymal transition (EMT), which could indicate that in skin, M. leprae could be de-differentiating, directly or indirectly, other cell types into a progenitor/stem-like phenotype, facilitating mycobacterial survival and migration within the host. Alternatively, this could highlight which pathways are activated during granuloma formation and/or skin barrier assembly/disassembly.
2021-10-01 | E-MTAB-10318 | biostudies-arrayexpress
Project description:To this date, host transcriptome studies in leprosy have focused on Schwann cells, as well as mouse-footpad and skin biopsies. Despite macrophages being the most infected cell types in leprosy lesions, there is no genome-wide experiments with this model. Here, we aimed at identifying host macrophages transcriptional changes induced by live-Mycobacterium leprae infection for 48 hours.
2021-04-16 | GSE162416 | GEO
Project description:Leprosy is major public health problem in developing countries. M. leprae infects human macrophages and Schwann cells leading to a chronic disease. Leprosy studies are constrained due to the lack of in vitro growth system for M. leprae. Moreover, the overall pathogenesis is poorly understood although the expression of some pro-inflammatory cytokines is associated with nerve damage that occurs during the infection. PBMC may participate of the host response to M. leprae infection leading to the inflammatory profile. We aimed to investigate the global human gene expression profile of human PBMC exposed to M. leprae for 4 H. Due to the reduced supply of M. leprae our study was restricted to three chips, including a dye-swap set. Our analysis revealed gene expression differences in cell receptors, NF-kB signaling and oxidative stress response. The results were confirmed by Real-time PCR and flow-cytometry and point to new insights into the molecular events resulted from host-pathogen interaction We analyzed 3 oligo-human chips, 10K elements each, spotted in duplicates. Two chips were replicas and one a dye-swap
2007-09-01 | E-GEOD-5765 | biostudies-arrayexpress
Project description:Background: Reactions in Leprosy are immune exacerbations that cause debilitating consequences like nerve damage and permanent deformities. Prediction of these reactional states using appropriate biomarkers would enable early treatment interventions to prevent nerve function impairment. The current study investigated whole transcriptomic expression profiles of Mycobacterium leprae (M. leprae) that differentiate leprosy cases in type 2 (Erythema Nodosum Leprosum) reactions with those without reactions in host skin tissue derived RNA. Methods: Post clinical examination, excisional skin biopsy specimens were collected from skin lesions of subjects with and without type 2 reaction. Total RNA was extracted following the Trizol protocol and bacterial RNA was enriched in the samples. A 2 x 400K gene expression array (whole genome tiling array) was designed with the probes having 60-mer oligonucleotides tiling every 10bp of the genome sequence of M. leprae (NC_011896.1). The array comprised 420288 features which include probes and Agilent controls. The quality of RNA was estimated using BioAnalyzer (Agilent Technologies) followed by labelling, reverse transcription, amplification and hybridization to the arrays. The hybridized slides were scanned on a G2600D scanner (Agilent Technologies). The data thus acquired is analysed using GeneSpring GX Version 12.1 software. Data was normalized and fold difference in expression was noted from 359,922 probes which include sense and antisense orientations of 179,961 probes. The differentially expressing M. leprae genomic regions between type 2 reactions and non reactional cases were noted. Results: Considering a statistical cut-off value of 0.6 for fold difference in expression between the test and the control samples, a set of 107 genes indicated statistically significant up-regulation with volcano plot p-values less than 0.05. Functional characterization revealed higher-expression of genes encoding transmembrane proteins (12), regulatory proteins (9), fatty acid biosynthesis (6), amino acid metabolism (13), nucleic acid metabolism (7), DNA replication and repair (7), Secretory proteins (2) Krebs Cycle (1), Glycolysis (1), Drug Efflux Protein (1),Stress Response Protein (1), Energy Metabolism (2), Pantothenate biosynthesis (1), Metalloproteins (3), Hydrolases (1) and Hypothetical Proteins (40). Additionally there are 157 genes that are down regulated in cases with reaction. Conclusion: Differential expression of genes in the human skin biopsy specimens among leprosy cases with type 2 reaction in contrast to those without reaction suggests the role of pathogen associated gene expression triggers with the aetiology of these reactions. As most of the transmembrane and cell wall proteins possess epitope and surface exposed domains, higher expression levels of genes encoding these proteins may have a possible role in enhancing host immune responses characteristic of type 2 reactions in leprosy.
2017-09-01 | GSE85948 | GEO
Project description:Leprosy is major public health problem in developing countries. M. leprae infects human macrophages and Schwann cells leading to a chronic disease. Leprosy studies are constrained due to the lack of in vitro growth system for M. leprae. Moreover, the overall pathogenesis is poorly understood although the expression of some pro-inflammatory cytokines is associated with nerve damage that occurs during the infection. PBMC may participate of the host response to M. leprae infection leading to the inflammatory profile. We aimed to investigate the global human gene expression profile of human PBMC exposed to M. leprae for 4 H. Due to the reduced supply of M. leprae our study was restricted to three chips, including a dye-swap set. Our analysis revealed gene expression differences in cell receptors, NF-kB signaling and oxidative stress response. The results were confirmed by Real-time PCR and flow-cytometry and point to new insights into the molecular events resulted from host-pathogen interaction Keywords: Modulation of human PBMC gene expression by M. leprae
2007-09-01 | GSE5765 | GEO
Project description:Inflammaging is the name given to this chronic and asymptomatic inflammatory state generated by the aging process and by chronic and infectious diseases. Chronic diseases can alter the epigenetic profile of tissues leading to an increased epigenetic aging and some of the differentially methylated genes can be used to characterize the disease and as disease biomarkers. Leprosy is an infection caused by Mycobacterium leprae and can be lifelong, exposing the individual to a low-grade inflammation environment. In this study, we evaluated the inflammatory profile in 35 individuals from a leprosy endemic area from Brazil by cytokine analysis with a luminex assay. In adition, we investigated the leucocytes genome-wide DNA methylation profile using the Infinium MethylationEPIC BeadChip array. A total number of 31 CpGs were significantly methylated, between cases and controls, which belonged to 8 genes potentially peripherally perturbed in the pathogenesis of the disease. Affected individuals from endemic area were epigenetically aged in relation to control samples and interesting control samples from endemic area were aged in relation to unaffected control samples from non-endemic area. In conclusion, leprosy showed a deregulated methylation profile in comparison with control samples. The epigenetic analysis provided valuable clues for further investigations in understanding peripherical blood leprosy alterations and the use of these genes as biomarkers.
2023-02-21 | GSE197331 | GEO
Project description:<p>Leprosy is a chronic infectious disease caused by <i>Mycobacterium leprae</i> (<i>M. leprae</i>). Due to <i>M. leprae's</i>
narrow host range and an inability to be cultured <i>in vitro</i>, the biological investigation of this disease has been difficult. Host
genetic factors have been suggested to play an important role in disease development, but few have been identified.</p>
<p>In this study, we attempted to identify the host genetic factors by performing a two-stage genome-wide association
study (GWAS) in Chinese population. The initial genome-wide scan was done by genotyping 706 patients and 1225 controls using
the Illumina HumanHap610 BeadChip, and the follow-up study was performed by genotyping 93 SNPs in three independent samples
consisting of 3254 cases and 5955 controls. We identified significant association (P<10<sup>-10</sup>) within six genes
CCDC122 (13q14), C13orf31 (13q14), NOD2 (16q12), TNFSF15 (9q32), HLA-DR (6p21) and RIPK2 (8q21), and suggestive
association (P=5.68x10<sup>-6</sup>) within LRRK2 (12q12). We also revealed suggestive evidence for C13orf31, LRRK2,
NOD2 and RIPK2 to show stronger association in the multibacillary form than the paucibacillary form of leprosy. Our
findings highlight the importance of the innate immune response, particularly NOD2-mediated signaling, in leprosy
and suggests a new therapeutic target for leprosy.</p>
<p>Here, the summary statistics from the initial genome-wide association analysis were reported.</p>
| phs000217.v1.p1 | EGA
Project description:Transcriptome profiles derived from the site of human disease has led to the identification of genes that contribute to pathogenesis, yet the complex mixture of cell types in these lesions has been an obstacle for defining specific mechanisms. Leprosy provides an outstanding model to study host defense and pathogenesis in a human infectious disease, given its clinical spectrum which interrelates with the host immunologic and pathologic responses. Here, we investigated gene expression profiles derived from skin lesions for each clinical subtype of leprosy, analyzing gene co-expression modules by cell type deconvolution. In lesions from tuberculoid leprosy patients, those with the self-limited form of the disease, dendritic cells were linked with MMP12 as part of a tissue remodeling network that contributes to granuloma formation. In lesions from lepromatous leprosy patients, those with disseminated disease, macrophages were linked with a gene network that programs phagocytosis. In erythema nodosum leprosum, neutrophil and endothelial cell gene networks were identified as part of the vasculitis that results in tissue injury. The present integrated computational approach provides a systems approach towards identifying cell-defined functional networks that contribute to host defense and immunopathology at the site of human infectious disease.
2016-08-30 | GSE84893 | GEO