The diagnostic value and associated molecular mechanism study for fibroblast‐related mitochondrial genes on keloid DOI Creative Commons
Ting Wei, Z Xu

Skin Research and Technology, Год журнала: 2024, Номер 30(9)

Опубликована: Сен. 1, 2024

This study aims to reveal the mechanism of fibroblast-related mitochondrial genes on keloid formation and explore promising signature for diagnosis.

Язык: Английский

Identification of common mechanisms and biomarkers for dermatomyositis and atherosclerosis based on bioinformatics analysis DOI Creative Commons
Yirong Ma,

Junyu Lai,

Qiang Wan

и другие.

Skin Research and Technology, Год журнала: 2024, Номер 30(6)

Опубликована: Июнь 1, 2024

Abstract Background Dermatomyositis (DM) manifests as an autoimmune and inflammatory condition, clinically characterized by subacute progressive proximal muscle weakness, rashes or both along with extramuscular manifestations. Literature indicates that DM shares common risk factors atherosclerosis (AS), they often co‐occur, yet the etiology pathogenesis remain to be fully elucidated. This investigation aims utilize bioinformatics methods clarify crucial genes pathways influence pathophysiology of AS. Method Microarray datasets for (GSE128470, GSE1551, GSE143323) AS (GSE100927, GSE28829, GSE43292) were retrieved from Gene Expression Omnibus (GEO) database. The weighted gene co‐expression network analysis (WGCNA) was used reveal their co‐expressed modules. Differentially expression (DEGs) identified using “limma” package in R software, functions DEGs determined functional enrichment analysis. A protein‐protein interaction (PPI) established STRING database, central evaluated cytoHubba plugin, validated through external datasets. Immune infiltration hub conducted CIBERSORT method, Set Enrichment Analysis (GSEA). Finally, NetworkAnalyst platform employed examine transcription (TFs) responsible regulating pivotal crosstalk genes. Results Utilizing WGCNA analysis, a total 271 overlapping pinpointed. Subsequent DEG revealed 34 are commonly found AS, including 31 upregulated 3 downregulated Degree Centrality algorithm applied separately collections select 15 highest connectivity, crossing two sets yielded (PTPRC, TYROBP, CXCR4). Validation showed diagnostic value immune lymphocytes macrophages significantly associated Moreover, GSEA suggested shared enriched various receptor interactions multiple cytokines signaling pathways. We coupled respective predicted genes, identifying potential key TF, CBFB, which interacts all Conclusion research utilized comprehensive techniques explore three PTPRC, CXCR4, related correlations cells may serve therapeutic targets.

Язык: Английский

Процитировано

7

Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics DOI Creative Commons
J. Zhang, Shuo Feng,

Minfei Chen

и другие.

Skin Research and Technology, Год журнала: 2024, Номер 30(2)

Опубликована: Фев. 1, 2024

Abstract Background Mounting evidence suggest that there are an association between psoriasis and ulcerative colitis (UC), although the common pathogeneses not fully understood. Our study aimed to find potential crucial genes in UC through machine learning integrated bioinformatics. Methods The overlapping differentially expressed (DEGs) of datasets GSE13355 GSE87466 were identified. Then functional enrichment analysis was performed. LASSO, SVM‐RFE key module WGCNA considered as genes. receiver operator characteristic (ROC) curve used estimate their diagnostic confidence. CIBERSORT conducted evaluate immune cell infiltration. Finally, GSE30999 GSE107499 retrieved validate. Results 112 DEGs identified revealed they closely related inflammatory response. Eight genes, including S100A9, PI3, KYNU, WNT5A, SERPINB3, CHI3L2, ARNTL2, SLAMF7, ultimately ROC curves showed all had high confidence test validation datasets. indicated a correlation infiltrating cells Conclusion In our study, we focused on comprehensive understanding UC. identification eight may contribute only mechanism, but also identifying occult patients, even serving therapeutic targets future.

Язык: Английский

Процитировано

6

Exploring the comorbidity mechanisms between psoriasis and obesity based on bioinformatics DOI Creative Commons
Changyong Gao, Jianhong Li

Skin Research and Technology, Год журнала: 2024, Номер 30(2)

Опубликована: Янв. 26, 2024

Psoriasis is a chronic, recurrent, immune-mediated inflammatory skin disease characterized by erythematous scaly lesions. Obesity currently major global health concern, increasing the risk of diseases such as cardiovascular and diabetes. Since correlation between psoriasis obesity, well hypertension, diabetes, diseases, has been clinically evidenced, it certain clinical significance to explore mechanisms underlying comorbidity with these conditions.

Язык: Английский

Процитировано

5

Determining IFI44 as a key lupus nephritis’s biomarker through bioinformatics and immunohistochemistry DOI Creative Commons

Yue Tan,

Xueyao Wang,

Deyou Zhang

и другие.

Renal Failure, Год журнала: 2025, Номер 47(1)

Опубликована: Март 18, 2025

Background Lupus nephritis (LN) emerges as a severe complication of systemic lupus erythematosus (SLE), significantly affecting patient survival. Despite improvements in treatment reducing LN's morbidity and mortality, existing therapies remain suboptimal, emphasizing the necessity for early detection to improve outcomes.

Язык: Английский

Процитировано

0

Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis DOI Creative Commons
Ningyi Xian, Ruimin Bai, Jiaqi Guo

и другие.

Skin Research and Technology, Год журнала: 2023, Номер 29(9)

Опубликована: Сен. 1, 2023

An increasing amount of evidence suggests that psoriasis and nonalcoholic steatohepatitis (NASH) may occur simultaneously, whereas the underlying mechanisms remain unclear. Our research aims to explore potential comorbidity mechanism in steatohepatitis.

Язык: Английский

Процитировано

10

The causal relationship between pure hypercholesterolemia and psoriasis: A bidirectional, two‐sample Mendelian randomization study DOI Creative Commons
Ruimin Bai, Landong Ren, Jiaqi Guo

и другие.

Skin Research and Technology, Год журнала: 2023, Номер 29(12)

Опубликована: Ноя. 27, 2023

Several studies have reported the association between pure hypercholesterolemia (PH) and psoriasis, but causal effect remains unclear.We explored PH psoriasis using two-sample bidirectional Mendelian randomization (MR) analysis data from genome-wide studies. Single nucleotide polymorphisms related with exposures at significance level (p < 5×10-8 ) less than linkage disequilibrium (r2 0.001) were chosen as instrumental variables. Subsequently, we used inverse variance weighting (IVW), MR-Egger weighted median (WM) methods for inference. p 0.05 was considered statistically significant. Heterogeneity tested Cochran's Q-test, horizontal pleiotropy examined intercept. Leave-one-out analyses performed to assess robustness reliability of results.MR results showed a positive on [IVW: odds ratios (OR): 1.139, = 0.032; MR-Egger: OR: 1.434, 0.035; WM: 1.170, 0.045] psoriatic arthritis (PsA) (IVW: 1.210, 0.049; regression: 1.796, 0.033; 1.317, 0.028). However, there is no relationship vulgaris well other unspecified psoriasis. Inverse MR suggested negative PsA 0.950, 0.037). No heterogeneity exist, these confirmed be robust.PH has casual PsA, may reduce risk having PH.

Язык: Английский

Процитировано

10

Identification of key genes and molecular mechanisms of chronic urticaria based on bioinformatics DOI Creative Commons
Haichao Guo,

Lifang Guo,

Li Li

и другие.

Skin Research and Technology, Год журнала: 2024, Номер 30(4)

Опубликована: Апрель 1, 2024

Abstract Chronic urticaria (CU) is characterized by persistent skin hives, redness, and itching, enhanced immune dysregulation inflammation. Our main objective identifying key genes molecular mechanisms of chronic based on bioinformatics. We used the Gene Expression Omnibus (GEO) database retrieved two GEO datasets, GSE57178 GSE72540. The raw data were extracted, pre‐processed, analyzed using GEO2R tool to identify differentially expressed (DEGs). samples divided into groups: healthy CU samples. defined cut‐off values log 2 fold change ≥1 p < .05. Analyses performed in Kyoto Encyclopaedia Genes Genomes (KEGG), Database for Annotation, Visualization Integrated Discovery (DAVID), Metascape, Search Tool Retrieval Interacting Genes/Proteins (STRING) CIBERSOFT databases. obtained 1613 genes. There 114 overlapping both out which 102 up‐regulated while 12 down‐regulated. biological processes included activation myeloid leukocytes, response inflammations, organic substances. Moreover, KEGG pathways enriched Nuclear Factor‐Kappa B (NF‐kB) signaling pathway, Tumor Necrosis Factor (TNF) Janus kinase/signal transducers activators transcription (JAK‐STAT) pathway. identified 27 hub that implicated pathogenesis CU, such as interleukin‐6 (IL‐6), Prostaglandin‐endoperoxide synthase (PTGS2), intercellular adhesion molecule‐1 (ICAM1). complex interplay between responses, inflammatory pathways, cytokine networks, specific enhances CU. Understanding these paves way potential interventions mitigate symptoms improve quality life patients.

Язык: Английский

Процитировано

3

Key genes and immune infiltration patterns and the clinical implications in psoriasis patients DOI Creative Commons
Xinyu Zhang,

Luyi Tan,

Chenyu Zhu

и другие.

Skin Research and Technology, Год журнала: 2024, Номер 30(8)

Опубликована: Авг. 1, 2024

Psoriasis is an immune-mediated skin disease, closely related to immune regulation. The aim was understand the pathogenesis of psoriasis further, reveal potential therapeutic targets, and provide new clues for its diagnosis, treatment, prevention.

Язык: Английский

Процитировано

2

Molecular Morbidity Score–Can MicroRNAs Assess the Burden of Disease? DOI Open Access
Tom Butler, Matthew G. Davey, Michael J. Kerin

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(15), С. 8042 - 8042

Опубликована: Июль 24, 2024

Multimorbidity refers to the presence of two or more chronic diseases and is associated with adverse outcomes for patients. Factors such as an ageing population have contributed a rise in prevalence multimorbidity globally; however, often neglected clinical guidelines. This largely because patients are systematically excluded from trials. Accordingly, there urgent need develop novel biomarkers methods prognostication this cohort The hallmarks now thought potentiate pathogenesis multimorbidity. MicroRNAs small, regulatory, noncoding RNAs which been implicated numerous diseases; substantial body evidence implicating microRNA dysregulation different aetiology diseases. article proposes using framework panel microRNAs assess prognostic burden putative molecular morbidity score would many potential applications, including assessing efficacy interventions, informing decision making facilitating wider inclusion

Язык: Английский

Процитировано

0

The diagnostic value and associated molecular mechanism study for fibroblast‐related mitochondrial genes on keloid DOI Creative Commons
Ting Wei, Z Xu

Skin Research and Technology, Год журнала: 2024, Номер 30(9)

Опубликована: Сен. 1, 2024

This study aims to reveal the mechanism of fibroblast-related mitochondrial genes on keloid formation and explore promising signature for diagnosis.

Язык: Английский

Процитировано

0