Development of gene expression signatures in whole spectrum of leprosy
Ontology highlight
ABSTRACT:
ORGANISM(S): Mycobacterium leprae
PROVIDER: GSE224736 | GEO | 2024/03/04
REPOSITORIES: GEO
Similar Datasets
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:Leprosy is classified from paucibacillary leprosy (TT and BT) to multibacillary leprosy (BB, BL, and LL). In our study, we focus on selecting or classfying the significant genes to discriminate between paucibacillary and multibacillary group and the important genes to distinguish between blood and the corresponding tissue in patients.
2011-03-17 | GSE24280 | GEO
Project description:Leprosy is classified from paucibacillary leprosy (TT and BT) to multibacillary leprosy (BB, BL, and LL). In our study, we focus on selecting or classfying the significant genes to discriminate between paucibacillary and multibacillary group and the important genes to distinguish between blood and the corresponding tissue in patients. · Human Adult Normal Skin Sample (Commercial;Cat#1234218); 6 patients of leprosy (Blood and Tissue sample (Pathologic classification: BT); 6 patients of leprosy (Blood and Tissue sample (Pathologic classification: MB)) · In blood sample, BT sample vs MB sample · In tissue sample, Normal Skin sample vs tissue BT sample or tissue MB sample · Single Color Microarray · All experiments are performed one replicate
2011-03-17 | E-GEOD-24280 | biostudies-arrayexpress
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:Exploratory RNA expression analysis during development of leprosy allows identification of RISK4LEP, a 4-gene blood RNA signature predicting leprosy years before clinical onset.
2021-04-23 | GSE163498 | GEO
Project description:Leprosy Transcriptome (mRNA)
| PRJEB39246 | ENA
Project description:Skin biopsy specimens of skin lesions were profiled for miRNA expression. In this study, we indentified miRNA species that were differentially expressed in the skin lesions of either the lepromatous or tuberculoid forms of leprosy. One miRNA species, hsa-mir-21, found in the lepromatous lesions was capable of downregulating the vitamin D-dependent antimicrobial pathway. Scalpel or punch skin biopsy specimens were obtained after informed consent from patients with tuberculoid leprosy and patients with lepromatous leprosy at the time of diagnosis. Specimens were embedded in OCT medium, snap-frozen in liquid nitrogen and stored at 80°C until sectioning.
2011-12-31 | E-GEOD-33192 | 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:8 leprosy patients including 4 multibacillary (MB) and 4 paucibacillary (PB), and 8 non-leprosy controls including 4 healthy house contacts (HHCs) and 4 endemic controls (ECs) were included in the study. The immune response differences between leprosy patients and controls were evaluated by analyzing the transcriptional profiles of PBMCs to M. leprae sonicate antigens by RNA-seq. The analyses revealed potential biomarkers (including mRNAs and lncRNAs) preferentially expressed in PBMCs in leprosy patients that may be useful for early diagnosis of leprosy.
2021-07-16 | GSE179987 | GEO
Project description:Neutrophil recruitment is pivotal to host defense against microbial infection, but also contributes to the immunopathology of disease. We investigated the mechanism of neutrophil recruitment in human infectious disease by bioinformatic pathways analysis of the gene expression profiles in the skin lesions of leprosy. In erythema nodosum leprosum (ENL), which occurs in patients with lepromatous leprosy (L-lep), and is characterized by neutrophil infiltration in lesions, the most overrepresented biologic functional group was “cell movement” including E-selectin, which was coordinately regulated with IL-1. In vitro activation of TLR2, upregulated in ENL lesions, triggered induction of IL-1, which together with IFN-, induced E-selectin expression on, and neutrophil adhesion to endothelial cells. Thalidomide, an effective treatment for ENL, inhibited this neutrophil recruitment pathway. The gene expression profile of ENL lesions comprised an integrated pathway of TLR2/FcR activation, neutrophil migration and inflammation, providing insight into mechanisms of neutrophil recruitment in human infectious disease. 6 ENL skin lesions and 7 Lepromatous leprosy skin lesions
2009-06-30 | E-GEOD-16844 | biostudies-arrayexpress