Screening biomarkers for systemic lupus erythematosus based on single-cell and bulk RNA sequencing DOI Creative Commons
Meng Yang,

Di Yang,

Linquan Gan

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Ноя. 25, 2023

Abstract Systemic lupus erythematosus (SLE) is an autoimmune disease. The pathogenesis of SLE remains unclear, and the aim this study was to identify novel biomarkers SLE. First, key modules cell clusters for trait sample grouping were screened by weighted gene coexpression network analysis (WGCNA). differentially expressed genes (DEGs) between normal samples in GSE72326 screened. candidate obtained overlapping DEGs, module genes, marker clusters. random forest algorithm executed based on top 5 selected as hub genes. In addition, set enrichment (GSEA) performed. Finally, expression validation, methylation analysis, immunoinfiltration completed. A total 90 DEGs control dataset. By (TNFSF13B, FCGR1A, TNFSF10, ISG15, LAP3) obtained. GSEA revealed that TNFSF13B FCGR1A involved primary immunodeficiency, cytosolic DNA sensing pathway, ribosome, LAP3 related pyruvate metabolism, complement coagulation cascade. TNFSF13B, identified SLE, which provides a new perspective Purpose : Patients methods Results Conclusion

Язык: Английский

Structural and temporal dynamics analysis of neural circuit from 2002 to 2022: A bibliometric analysis DOI Creative Commons
Yuan Liu, Wei Lin, Jie Liu

и другие.

Heliyon, Год журнала: 2024, Номер 10(2), С. e24649 - e24649

Опубликована: Янв. 1, 2024

In the pursuit of causal insights into neural circuit functionality, various interventions, including electrical, genetic, and pharmacological approaches, have been applied over recent decades. This study employs a comprehensive bibliometric perspective to explore field circuits.

Язык: Английский

Процитировано

0

Improved Gut Health May Be a Potential Therapeutic Approach for Managing Prediabetes: A Literature Review DOI Creative Commons
Nosipho Rosebud Dimba, Nhlakanipho Mzimela, Andile Khathi

и другие.

Biomedicines, Год журнала: 2024, Номер 12(6), С. 1275 - 1275

Опубликована: Июнь 8, 2024

Given the growing global threat and rising prevalence of type 2 diabetes mellitus (T2DM), addressing this metabolic disease is imperative. T2DM preceded by prediabetes (PD), an intermediate hyperglycaemia that goes unnoticed for years in patients. Several studies have shown gut microbial diversity glucose homeostasis PD or patients are affected. Therefore, review aims to synthesize existing literature elucidate association between high-calorie diets, intestinal permeability their correlation with T2DM. Moreover, it discusses beneficial effects different dietary interventions on improving health metabolism. The primary factor contributing complications seen chronic consumption which alters composition increases translocation toxic substances from lumen into bloodstream. This causes increase inflammatory response further impairs regulation. approaches been implemented. However, only a few currently use promising results microbiomes additional well-designed still necessary thoroughly investigate whether using other types can potentially manage reverse PD, thereby preventing onset

Язык: Английский

Процитировано

0

Screening biomarkers for systemic lupus erythematosus based on single-cell and bulk RNA sequencing DOI Creative Commons
Meng Yang,

Di Yang,

Linquan Gan

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Ноя. 25, 2023

Abstract Systemic lupus erythematosus (SLE) is an autoimmune disease. The pathogenesis of SLE remains unclear, and the aim this study was to identify novel biomarkers SLE. First, key modules cell clusters for trait sample grouping were screened by weighted gene coexpression network analysis (WGCNA). differentially expressed genes (DEGs) between normal samples in GSE72326 screened. candidate obtained overlapping DEGs, module genes, marker clusters. random forest algorithm executed based on top 5 selected as hub genes. In addition, set enrichment (GSEA) performed. Finally, expression validation, methylation analysis, immunoinfiltration completed. A total 90 DEGs control dataset. By (TNFSF13B, FCGR1A, TNFSF10, ISG15, LAP3) obtained. GSEA revealed that TNFSF13B FCGR1A involved primary immunodeficiency, cytosolic DNA sensing pathway, ribosome, LAP3 related pyruvate metabolism, complement coagulation cascade. TNFSF13B, identified SLE, which provides a new perspective Purpose : Patients methods Results Conclusion

Язык: Английский

Процитировано

0