A brain problem with Listeria monocytogenes

Boully, Amélie; Casenaz, Alice; Blot, Mathieu; Piroth, Lionel; Thai, Max; Zanetta, Gilbert; Blanchot, Thomas; Sixt, Thibault

doi:10.1016/s1473-3099(21)00683-6

Cited by 3 publications

(1 citation statement)

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“…Immunoglobulin-A-nephropathy (IgAN) is one of the major public health problems. IgAN is also known as Berger’s disease 1 , 2 . It is a kidney disease caused by the accumulation of IgAN deposits in the kidneys, which causes inflammation and damage to the kidney tissues.…”

Section: Introductionmentioning

confidence: 99%

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

Hasan

Maniruzzaman

Shin

2022

Sci Rep

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Immunoglobulin-A-nephropathy (IgAN) is a kidney disease caused by the accumulation of IgAN deposits in the kidneys, which causes inflammation and damage to the kidney tissues. Various bioinformatics analysis-based approaches are widely used to predict novel candidate genes and pathways associated with IgAN. However, there is still some scope to clearly explore the molecular mechanisms and causes of IgAN development and progression. Therefore, the present study aimed to identify key candidate genes for IgAN using machine learning (ML) and statistics-based bioinformatics models. First, differentially expressed genes (DEGs) were identified using limma, and then enrichment analysis was performed on DEGs using DAVID. Protein-protein interaction (PPI) was constructed using STRING and Cytoscape was used to determine hub genes based on connectivity and hub modules based on MCODE scores and their associated genes from DEGs. Furthermore, ML-based algorithms, namely support vector machine (SVM), least absolute shrinkage and selection operator (LASSO), and partial least square discriminant analysis (PLS-DA) were applied to identify the discriminative genes of IgAN from DEGs. Finally, the key candidate genes (FOS, JUN, EGR1, FOSB, and DUSP1) were identified as overlapping genes among the selected hub genes, hub module genes, and discriminative genes from SVM, LASSO, and PLS-DA, respectively which can be used for the diagnosis and treatment of IgAN.

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Section: Introductionmentioning

confidence: 99%

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

Hasan

Maniruzzaman

Shin

2022

Sci Rep

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Ferroptosis‐Related Genes in IgA Nephropathy: Screening for Potential Targets of the Mechanism

Zhu,

Chen,

Xiao

et al. 2024

International Journal of Genomics

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Aims: Exploring key genes and potential molecular pathways of ferroptosis in immunoglobulin A nephropathy (IgAN).Methods: The IgAN datasets and ferroptosis‐related genes (FRGs) were obtained in the Gene Expression Omnibus (GEO) and FerrDb database. Differentially expressed genes (DEGs) were identified using R software and intersected with FRGs to obtain differentially expressed FRGs (DE‐FRGs). After that, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (PEA) and Gene Ontology (GO) functional annotation were performed on DE‐FRGs. In the Search Tool for the Retrieval of Interacting Genes (STRING) website, we construct a protein–protein interaction (PPI) network. The PPI network was further investigated with screening hub genes with Cytoscape software. The core genes were then subjected to gene set enrichment analysis (GSEA). Finally, the samples were analyzed for immune infiltration in R, and the correlation between hub genes and immune cells was analyzed.Results: A total of 347 DEGs were identified. CD44, CDO1, CYBB, IL1B, RRM2, AKR1C1, activated transcription factor‐3 (ATF3), CDKN1A, GDF15, JUN, MGST1, MIOX, MT1G, NR4A1, PDK4, TNFAIP3, and ZFP36 were determined as DE‐FRGs. JUN, IL1B, and ATF3 were then screened as hub genes. GSEA and immune infiltration analysis revealed that the hub genes were closely associated with immune inflammatory responses such as NOD‐like receptor signaling, IL‐17 signaling, and TNF signaling.Conclusions: Our results show that JUN and ATF3 are possibly critical genes in the process of IgAN ferroptosis and may be related with immune cell infiltration.

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Immunohistochemical expression of MMP–2 and MMP–9 in the brain tissue of sheep naturally infected with Listeria monocytogenes and relationship with cell death in the Listerial encephalitis

Karayigit,

Halıgür,

Ekici

2024

RC FCV-LUZ

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Listeria monocytogenes is an intracellular, food–borne bacterium. Silage is an important source of this pathogen causing listeriosis. Listeriosis is an important health problem for both animals and humans in the world. The disease comprises three clinical syndromes: meningoencephalitis, septicemia and metritis with abortion. Encephalitis is frequently observed and the factors that play a role in its pathogenesis are the subject of research. In this study, the immunohistochemical expression of MMP–2 and MMP–9 together with TUNEL staining was investigated in the pathogenesis of meningoencephalitis in sheep naturally infected with L. monocytogenes. The brains of 25 sheep with Listerial meningoencephalitis were used in this study. Brain material from 10 sheep provided from the slaughterhouse was also used as a control. Tissue sections were stained immunohistochemically with L. monocytogenes, MMP–2 and MMP–9 antibodies. Additionally, TUNEL staining was performed to determine apoptosis in the disease. As a result of the study, it was observed that TUNEL staining in neurons and glial cells, MMP–2 and MMP–9 expressions in vascular endothelial cells, inflammatory cells, microglia and especially neurons in the infected brain tissue were significantly increased compared to controls. These results suggested that MMP–2 and MMP–9 play an active role in the neurodegeneration and cell death that occur in Listerial encephalitis.

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A brain problem with Listeria monocytogenes

Cited by 3 publications

References 0 publications

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

Ferroptosis‐Related Genes in IgA Nephropathy: Screening for Potential Targets of the Mechanism

Immunohistochemical expression of MMP–2 and MMP–9 in the brain tissue of sheep naturally infected with Listeria monocytogenes and relationship with cell death in the Listerial encephalitis

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