GNLY gene polymorphism: A potential role in understanding psoriasis pathogenesis

Khalid, Hesham N; Elghobashy, Yasser; Elsayed, Asmaa

doi:10.1111/jocd.14792

Cited by 3 publications

(3 citation statements)

References 27 publications

(53 reference statements)

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“…Granulysin (GNLY) is a cytotoxic granule that is cosecreted with granzyme and perforin from the granules of human cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells. It has been documented to possess diverse antimicrobial properties [33,34]. GNLY is predominantly expressed in human CTLs and NK cells and has been implicated in a plethora of pathological conditions, including infections, cancer, transplantation, and dermatological disorders [35].…”

Section: Discussionmentioning

confidence: 99%

Screening of four lysosome-related genes in sepsis based on RNA sequencing technology

Chen,

Zhang,

Wang

et al. 2023

BMC Immunol

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Purpose Screening of lysosome-related genes in sepsis patients to provide direction for lysosome-targeted therapy. Methods Peripheral blood samples were obtained from 22 patients diagnosed with sepsis and 10 normal controls for the purpose of RNA sequencing and subsequent analysis of differential gene expression. Concurrently, lysosome-related genes were acquired from the Gene Ontology database. The intersecting genes between the differential genes and lysosome-related genes were then subjected to PPI, GO and KEGG analyses. Core genes were identified through survival analysis, and their expression trends in different groups were determined using meta-analysis. Single-cell RNA sequencing was used to clarify the cellular localization of core genes. Results The intersection of 1328 sepsis-differential genes with 878 lysosome-related genes yielded 76 genes. PPI analysis showed that intersecting genes were mainly involved in Cellular process, Response to stimulus, Immune system process, Signal transduction, Lysosome. GO and KEGG analysis showed that intersecting genes were mainly involved in leukocyte mediated immunity, cell activation involved in immune response, lytic vacuole, lysosome. Survival analysis screened four genes positively correlated with sepsis prognosis, namely GNLY, GZMB, PRF1 and RASGRP1. The meta-analysis revealed that the expression levels of these four genes were significantly higher in the normal control group compared to the sepsis group, which aligns with the findings from RNA sequencing data. Furthermore, single-cell RNA sequencing demonstrated that T cells and NK cells exhibited high expression levels of GNLY, GZMB, PRF1, and RASGRP1. Conclusion GNLY, GZMB, PRF1, and RASGRP1, which are lysosome-related genes, are closely linked to the prognosis of sepsis and could potentially serve as novel research targets for sepsis, offering valuable insights for the development of lysosome-targeted therapy. The clinical trial registration number is ChiCTR1900021261, and the registration date is February 4, 2019.

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Section: Discussionmentioning

confidence: 99%

Screening of four lysosome-related genes in sepsis based on RNA sequencing technology

Chen,

Zhang,

Wang

et al. 2023

BMC Immunol

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“…As GNLY is not present in rodents, it is unfortunate that we did not further validate its expression in our mice model. But GNLY has been found to play an important role in infection and immune-related diseases, such as osteoarthritis, psoriasis and chronic viral hepatitis [31][32][33] . Currently, human GNLY gene has been constructed into transgenic mice models and effectively used in experimental investigations.…”

Section: Discussionmentioning

confidence: 99%

Shared biomarkers and immune cell infiltration signatures in ulcerative colitis and nonalcoholic steatohepatitis

Wang,

Gao,

Kang

et al. 2023

Sci Rep

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The coexistence of ulcerative colitis (UC) and nonalcoholic steatohepatitis (NASH) involves a intricate interplay, though the precise pathophysiological mechanisms remain elusive. To shed light on this, our study endeavors to unravel the shared gene signatures and molecular mechanisms by employing quantitative bioinformatics analysis on a publicly available RNA-sequencing database. Gene expression profiles of UC (GSE87466) and NASH (GSE89632) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using R software. After identifying common DEGs, functional enrichment analysis, protein–protein interaction (PPI) network analysis and module construction were performed to obtain candidate hub genes. GSE47908 for UC and GSE159676 for NASH were selected to validate the obtained candidate genes. A total of 119 common DEGs were found in NASH and UC patients. Functional and pathway analyses emphasized that viral infection, inflammation and immune response were enriched in these two diseases. After module construction and validation, CD2, CD8A, GNLY, IFI44, NKG7 and OAS2 were identified as hub genes. 6 hub genes and their combined prediction scores were found with an impressive accuracy and sensitivity. Functional estimation, gene set enrichment analysis and immune infiltration signature identification showed notable associations of the six hub genes with T cells, natural killer cells and type I interferon levels. In addition, we constructed UC combined with NASH mice model successfully with significantly higher expression of hub genes in both liver and colonic tissues than those in control group. Our study elucidates 6 hub genes of UC and NASH, which may participate in immune, inflammatory and antiviral effects. These findings provide some potential biochemical markers for further exploration of UC coexistence with NASH.

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“…This was consistent with our study. GNLY is a cytolytic antimicrobial peptide (AMP) released from the granules of both cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells, which mainly involved in the occurrence of psoriasis [ 42 ]. Zhang Q found that the hub genes GNLY may be associated with the prognosis of sepsis [ 43 ].…”

Section: Discussionmentioning

confidence: 99%

Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis

Liang

et al. 2022

Journal of Healthcare Engineering

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Background and objectives. Sepsis is a life-threatening organ dysfunction caused by the imbalance of the body’s response to infection. Delay in sepsis diagnosis has become a primary cause of patient death. This study aims to identify potential biomarkers of sepsis based on bioinformatics data analysis, so as to provide new gene biomarkers for the diagnosis and treatment of sepsis. Methods. Gene expression profiles of GSE13904, GSE26378, GSE26440, GSE65682, and GSE69528 were obtained from the National Center for Biotechnology Information (NCBI). The differentially expressed genes (DEGs) were searched using limma software package. Gene Ontology (GO) functional analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate molecular mechanisms of DEGs and screen hub genes. Results. A total of 108 DEGs were identified in the study, of which 67 were upregulated and 41 were downregulated. 15 superlative diagnostic biomarkers (CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, and PRF1) for sepsis were identified by bioinformatics analysis. Conclusion. 15 hub genes (CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, and PRF1) have been elucidated in this study, and these biomarkers may be helpful in the diagnosis and therapy of patients with sepsis.

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GNLY gene polymorphism: A potential role in understanding psoriasis pathogenesis

Cited by 3 publications

References 27 publications

Screening of four lysosome-related genes in sepsis based on RNA sequencing technology

Screening of four lysosome-related genes in sepsis based on RNA sequencing technology

Shared biomarkers and immune cell infiltration signatures in ulcerative colitis and nonalcoholic steatohepatitis

Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis

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