Leukocytes methylome of individuals from leprosy endemic area
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ABSTRACT:
PROVIDER: PRJNA809762 | ENA |
REPOSITORIES: ENA
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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.
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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: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: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)
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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: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
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