Subgroup Identification with Gene Expression Profiles of Adipose Tissue in Patients with Coronary Artery Disease

Jiang, Chunying; Wang, Rui; Zong, Bin; Peng, Wei; Li, Wen; Han, Bing

doi:10.1536/ihj.21-189

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…Subgroup-specific upregulated and downregulated genes were identified by comparing the samples in a specified subgroup with samples in the other subgroups using the Wilcoxon rank-sum test (19,20). To avoid obscuring gene expression features in pathway enrichment analyses and identify the most valuable differentially expressed genes, we used the cutoff criteria defined by Benjamini-Hochberg and adjusted it to p < 0.05 and the absolute difference of means > 0.2 (19, 20).…”

Section: Identification Of Subgroup-specific Upregulated and Downregu...mentioning

confidence: 99%

Consensus clustering of gene expression profiles in peripheral blood of acute ischemic stroke patients

et al. 2022

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Acute ischemic stroke (AIS) is a primary cause of mortality and morbidity worldwide. Currently, no clinically approved immune intervention is available for AIS treatment, partly due to the lack of relevant patient classification based on the peripheral immunity status of patients with AIS. In this study, we adopted the consensus clustering approach to classify patients with AIS into molecular subgroups based on the transcriptomic profiles of peripheral blood, and we identified three distinct AIS molecular subgroups and 8 modules in each subgroup by the weighted gene co-expression network analysis. Remarkably, the pre-ranked gene set enrichment analysis revealed that the co-expression modules with subgroup I-specific signature genes significantly overlapped with the differentially expressed genes in AIS patients with hemorrhagic transformation (HT). With respect to subgroup II, exclusively male patients with decreased proteasome activity were identified. Intriguingly, the majority of subgroup III was composed of female patients who showed a comparatively lower level of AIS-induced immunosuppression (AIIS). In addition, we discovered a non-linear relationship between female age and subgroup-specific gene expression, suggesting a gender- and age-dependent alteration of peripheral immunity. Taken together, our novel AIS classification approach could facilitate immunomodulatory therapies, including the administration of gender-specific therapeutics, and attenuation of the risk of HT and AIIS after ischemic stroke.

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Section: Identification Of Subgroup-specific Upregulated and Downregu...mentioning

confidence: 99%

Consensus clustering of gene expression profiles in peripheral blood of acute ischemic stroke patients

et al. 2022

View full text Add to dashboard Cite

show abstract

Subgroup Identification with Gene Expression Profiles of Adipose Tissue in Patients with Coronary Artery Disease

Cited by 1 publication

References 22 publications

Consensus clustering of gene expression profiles in peripheral blood of acute ischemic stroke patients

Consensus clustering of gene expression profiles in peripheral blood of acute ischemic stroke patients

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