Genetic analysis of potential biomarkers and therapeutic targets in ferroptosis from psoriasis

Abstract

IntroductionFerroptosis is associated with multiple pathophysiological processes. Inhibition of ferroptosis has received much concern for some diseases. Nonetheless, there is no study comprehensively illustrating functions of ferroptosis-related genes (FRGs) in psoriasis.MethodsIn this study, FRGs together with psoriasis-associated data were obtained in Ferroptosis Database (FerrDb) and gene expression omnibus (GEO) database separately. This work identified altogether 199 psoriasis-associated DE-FRGs, and they were tightly associated with immunity and autophagy modulation. Thereafter, the present study utilized SVM-RFE and LASSO algorithms to identify NR5A2, CISD1, GCLC, PRKAA2, TRIB2, ABCC5, ACSF2, TIMM9, DCAF7, PEBP1, and MDM2 from those 199 DE-FRGs to be marker genes. As revealed by later functional annotation, the marker genes possibly had important effects on psoriasis through being involved in diverse psoriasis pathogenesis-related pathways such as cell cycle, toll-like receptor (TLR), chemokine, and nod-like receptor (NLR) pathways. Moreover, altogether 37 drugs that targeted 11 marker genes were acquired. Besides, based on CIBERSORT analysis, alterations of immune microenvironment in psoriasis cases were possibly associated with PRKAA2, PEBP1, CISD1, and ACSF2.DiscussionTaken together, this work established the diagnostic potency and shed more lights on psoriasis-related mechanism. More investigations are warranted to validate its value in diagnosing psoriasis before it is applied in clinic.

Multi-Omics Approach to Improved Diagnosis and Treatment of Atopic Dermatitis and Psoriasis

“…The extent of the impact of ferroptosis on psoriasis remains largely undetermined, but keratinocytes isolated from psoriatic lesions exhibit irregularities in lipid metabolism and expression. At the individual cell level, there is pronounced activation of lipid oxidation and peroxidation in psoriasis lesional keratinocytes [138].…”

“…Furthermore, augmentation in the cellular import of iron indicates the activation of ferroptosis in psoriasis lesions [141]. Other genes that are related to ferroptosis and regulate the immune microenvironment in psoriasis are PEBP1, PRKAA2, and ACSF2 [138]. PEBP1 mediates ferroptosis vulnerability due to GPX4 deletion, and PRKAA2 induces ferroptosis by inhibiting the transcription of SLC7A11 [142].…”

Relationship between Mutant Genes, SNPs and Mutation Types in Children with Hyperthyroidism Based on Canonical correlation Analysis

“…For example, use GWAS analysis method to obtain depression susceptibility from genetic data of depression patients Genes[ 8] , detect SNPs with high associations between brain white matter ber tracts and imaging data [ 9] , study the relationship between genetic variants and cardiovascular disease and related phenotypic traits [ 10] , and obtaining genetic variants associated with COVID-19 patients [ 11] . In addition, some researchers have used machine learning algorithms to study gene mutation data, such as LASSO regression and machine learning-support vector machine recursive feature elimination algorithms to screen the characteristic genes related to intracranial aneurysm rupture ferroptosis [ 12] , using LASSO algorithm and The SVM-RFE algorithm screens the diagnostic genes related to ferroptosis in endometriosis [ 13] , uses the random double clustering algorithm to obtain the central gene from the gene expression data [ 14] , and uses the co-inertia analysis method to analyze the relationship between multiple gene sets [ 15] . There are also studies that use canonical correlation algorithms to analyze the interaction between genes [16][17] .…”

Effects of biological agents on glycogen metabolism in psoriasis patients: A systematic review and meta‐analysis

“…Another miRNA, Mir-129-2-3p, that was found to be associated with psoriasis, was engaged in the malfunctioning of diabetic neutrophils. 11,12 These cytokines and genes contribute to the onset of psoriasis, interfere with insulin signalling, and regulate insulin resistance and obesity.…”

“…Most importantly, in transcriptome analysis, many specific genes have revealed the association of psoriasis with MS, such as ACSF2 that is accurate and specific in differentiating psoriasis cases from healthy samples, and impairment of ACSF2 produce is reported to be related to MS and insulin resistance. Another miRNA, Mir‐129‐2‐3p , that was found to be associated with psoriasis, was engaged in the malfunctioning of diabetic neutrophils 11,12 . These cytokines and genes contribute to the onset of psoriasis, interfere with insulin signalling, and regulate insulin resistance and obesity.…”