We are analyzing https://link.springer.com/article/10.1007/s10753-025-02271-y.

Title:
NLRP3-inflammasome Related Genes as Emerging Biomarkers and Therapeutic Targets in Psoriasis | Inflammation
Description:
The NLRP3 inflammasome is closely associated with inflammatory diseases, including psoriasis. Objective diagnostic biomarkers and alternative therapies for psoriasis remain limited. We aimed to identify reliable biomarkers for the diagnosis of psoriasis and investigate potential therapy strategies. Machine learning methods were performed in over 1000 skin samples from public transcriptome database to identify NLRP3 inflammasome-related biomarkers. Multivariate Cox regression analysis was used to establish the biomarker-based diagnostic model. TNF-induced HaCaT cell model was used to evaluate biomarker-related inflammatory changes. Biomarker-targeting drugs was predicted with NetworkAnalyst database and validated in imiquimod (IMQ)-induced mouse model. Elevated level of four NLRP3 inflammasome-related biomarkers, including NLRP3, ASC, TXNIP and CASP-1, were identified from the public psoriasis transcriptome samples and validated in our local psoriasis skin biopsies. The biomarker-based diagnostic model was developed from training dataset and validation dataset, which both showed significant diagnostic value for psoriasis. Knocking down one of these genes in vitro showed reduced inflammatory factors, reduced cell apoptosis and improved cell viability. Furthermore, Predictive biomarker-targeting therapeutics, including resveratrol and JQ-1, demonstrated effective alleviation of psoriasis severity and reduced inflammation in IMQ-induced psoriasis mice. Combinational evaluation of NLRP3, ASC, TXNIP and CASP-1 may constitute a novel diagnostic approach for psoriasis. Targeting these proteins provide more options for psoriasis therapy.
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Keywords {🔍}

psoriasis, pubmed, article, google, scholar, nlrp, cas, skin, model, genes, central, analysis, resveratrol, biomarkers, inflammatory, expression, diagnostic, cell, inflammasome, asc, cells, casp, txnip, therapeutic, mice, fig, immunology, data, journal, research, inflammation, ila, potential, results, china, including, disease, gene, study, frontiers, machine, psoriatic, protein, sections, means, international, inflammasomerelated, imqinduced, vitro, gse,

Topics {✒️}

annexin v-fitc/propidium iodide rorc/il-17a/il-22 pathway involved acetylated α-tubulin-mediated assembly rorc/il-17a pathway modulation mouse il-17a-producing γδ ifn-γ-dependent feedback loop nlrp3-inflammasome-related gene model article download pdf imq-induced psoriatic arthritis pro-il-1β increase [9] autophagy-related protein microtubule ribosome biogenesis-related biomarkers nlrp3 inflammasome-related pathway enzyme-linked immunosorbent assay evaluate biomarker-related inflammatory ameliorates imiquimod-induced psoriasis days post-imq application imq-induced psoriasis mice il-23r transcript expression protein–protein interaction network nlrp3 inflammasome-related genes nlrp3-inflammasome related genes predictive biomarker-targeting therapeutics nlrp3 inflammasome-related biomarkers nlrp3-inflammasome-related biomarkers suppressing il-17a production long-term asymptomatic inflammation regulates nlrp3-inflammasome activation nlrp3-inflammasome predictive model biomarker-based diagnostic model biomarker—based diagnostic model 10 ng/ml tnf-α il-17/il-23 signaling pathway pro-il-18 expressed predicted biomarker-targeted therapies quantitative rt-pcr analysis machine learning-based screening time-varying discrimination accuracy induced mouse model full size image release il-1α gold-standard clinical biomarkers published diagnostic models produce il-17a independently serum-free culture medium imq-induced psoriasis privacy choices/manage cookies resveratrol/jq-1 30 μg/cm2 related subjects necroptosis-related genes

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Polyphenols and inflammatory bowel disease: Natural products with therapeutic effects?

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         headline:NLRP3-inflammasome Related Genes as Emerging Biomarkers and Therapeutic Targets in Psoriasis
         description:The NLRP3 inflammasome is closely associated with inflammatory diseases, including psoriasis. Objective diagnostic biomarkers and alternative therapies for psoriasis remain limited. We aimed to identify reliable biomarkers for the diagnosis of psoriasis and investigate potential therapy strategies. Machine learning methods were performed in over 1000 skin samples from public transcriptome database to identify NLRP3 inflammasome-related biomarkers. Multivariate Cox regression analysis was used to establish the biomarker-based diagnostic model. TNF-induced HaCaT cell model was used to evaluate biomarker-related inflammatory changes. Biomarker-targeting drugs was predicted with NetworkAnalyst database and validated in imiquimod (IMQ)-induced mouse model. Elevated level of four NLRP3 inflammasome-related biomarkers, including NLRP3, ASC, TXNIP and CASP-1, were identified from the public psoriasis transcriptome samples and validated in our local psoriasis skin biopsies. The biomarker-based diagnostic model was developed from training dataset and validation dataset, which both showed significant diagnostic value for psoriasis. Knocking down one of these genes in vitro showed reduced inflammatory factors, reduced cell apoptosis and improved cell viability. Furthermore, Predictive biomarker-targeting therapeutics, including resveratrol and JQ-1, demonstrated effective alleviation of psoriasis severity and reduced inflammation in IMQ-induced psoriasis mice. Combinational evaluation of NLRP3, ASC, TXNIP and CASP-1 may constitute a novel diagnostic approach for psoriasis. Targeting these proteins provide more options for psoriasis therapy.
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      headline:NLRP3-inflammasome Related Genes as Emerging Biomarkers and Therapeutic Targets in Psoriasis
      description:The NLRP3 inflammasome is closely associated with inflammatory diseases, including psoriasis. Objective diagnostic biomarkers and alternative therapies for psoriasis remain limited. We aimed to identify reliable biomarkers for the diagnosis of psoriasis and investigate potential therapy strategies. Machine learning methods were performed in over 1000 skin samples from public transcriptome database to identify NLRP3 inflammasome-related biomarkers. Multivariate Cox regression analysis was used to establish the biomarker-based diagnostic model. TNF-induced HaCaT cell model was used to evaluate biomarker-related inflammatory changes. Biomarker-targeting drugs was predicted with NetworkAnalyst database and validated in imiquimod (IMQ)-induced mouse model. Elevated level of four NLRP3 inflammasome-related biomarkers, including NLRP3, ASC, TXNIP and CASP-1, were identified from the public psoriasis transcriptome samples and validated in our local psoriasis skin biopsies. The biomarker-based diagnostic model was developed from training dataset and validation dataset, which both showed significant diagnostic value for psoriasis. Knocking down one of these genes in vitro showed reduced inflammatory factors, reduced cell apoptosis and improved cell viability. Furthermore, Predictive biomarker-targeting therapeutics, including resveratrol and JQ-1, demonstrated effective alleviation of psoriasis severity and reduced inflammation in IMQ-induced psoriasis mice. Combinational evaluation of NLRP3, ASC, TXNIP and CASP-1 may constitute a novel diagnostic approach for psoriasis. Targeting these proteins provide more options for psoriasis therapy.
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