Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf
Background<p>Diabetic kidney disease (DKD) is a common and serious complication of diabetes, affecting approximately 40% of patients with the condition. The pathogenesis of DKD is complex, involving multiple processes such as metabolism, inflammation, and fibrosis. Given its increasing inciden...
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2025
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| _version_ | 1852018417546035200 |
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| author | Qian Dong (414788) |
| author2 | Huan Xu (38476) Pengjie Xu (21730934) Jiang Liu (197069) Zhouji Shen (20480463) |
| author2_role | author author author author |
| author_facet | Qian Dong (414788) Huan Xu (38476) Pengjie Xu (21730934) Jiang Liu (197069) Zhouji Shen (20480463) |
| author_role | author |
| dc.creator.none.fl_str_mv | Qian Dong (414788) Huan Xu (38476) Pengjie Xu (21730934) Jiang Liu (197069) Zhouji Shen (20480463) |
| dc.date.none.fl_str_mv | 2025-07-17T04:07:45Z |
| dc.identifier.none.fl_str_mv | 10.3389/fendo.2025.1620032.s002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Data_Sheet_1_Bioinformatic_analysis_identifies_LPL_as_a_critical_gene_in_diabetic_kidney_disease_via_lipoprotein_metabolism_pdf/29587706 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cell Metabolism diabetic kidney disease lipoprotein lipase immune cell infiltration lipid metabolism bioinformatic |
| dc.title.none.fl_str_mv | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | Background<p>Diabetic kidney disease (DKD) is a common and serious complication of diabetes, affecting approximately 40% of patients with the condition. The pathogenesis of DKD is complex, involving multiple processes such as metabolism, inflammation, and fibrosis. Given its increasing incidence and associated mortality, there is an urgent need to identify novel pathogenic genes and therapeutic targets.</p>Methods<p>This study systematically identified hub DKD-associated genes and their potential molecular mechanisms through bioinformatic analysis. Gene expression datasets from DKD patients and healthy controls were obtained from the GEO database. Hub genes were screened using differential expression analysis, weighted gene co-expression network analysis (WGCNA), LASSO regression, random forest (RF) algorithms, and consensus clustering for DKD patient classification. Additionally, immune cell infiltration analysis was performed on differentially expressed genes to explore the relationship between hub genes and the immune microenvironment. Potential drugs targeting LPL were predicted based on gene-drug interaction analysis. Immunohistochemistry was used to verify the expression of LPL and TNF-α in kidney tissues from patients with varying degrees of DKD severity, as well as their relationship with kidney function impairment.</p>Results<p>This study revealed that LPL, a lipoprotein metabolism gene, plays a crucial role in DKD, participating in cholesterol and glycerolipid metabolism as well as PPAR signaling. LPL expression was negatively correlated with pro-inflammatory M1 macrophages and various subsets of T cells, including naïve CD4 T cells and gamma delta T cells, while positively correlated with follicular helper T cells, suggesting its immune-regulation effects in DKD progression. Potential LPL-targeting drugs, such as Ibrolipim, anabolic steroid, and acarbose, might mitigate DKD. LPL expression was decreased with DKD severity and was correlated with TNF-α and kidney dysfunction markers, indicating its key role in DKD progression.</p>Conclusion<p>LPL is a pivotal regulator of lipid metabolism and immune inflammation in DKD. Potential drugs targeting LPL offer new candidates for precision treatment of DKD. These findings lay a theoretical foundation for understanding the molecular mechanisms of DKD and developing LPL-based therapeutic strategies.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_ffa5dccb5feb951eb545bc42e361172a |
| identifier_str_mv | 10.3389/fendo.2025.1620032.s002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29587706 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdfQian Dong (414788)Huan Xu (38476)Pengjie Xu (21730934)Jiang Liu (197069)Zhouji Shen (20480463)Cell Metabolismdiabetic kidney diseaselipoprotein lipaseimmune cell infiltrationlipid metabolismbioinformaticBackground<p>Diabetic kidney disease (DKD) is a common and serious complication of diabetes, affecting approximately 40% of patients with the condition. The pathogenesis of DKD is complex, involving multiple processes such as metabolism, inflammation, and fibrosis. Given its increasing incidence and associated mortality, there is an urgent need to identify novel pathogenic genes and therapeutic targets.</p>Methods<p>This study systematically identified hub DKD-associated genes and their potential molecular mechanisms through bioinformatic analysis. Gene expression datasets from DKD patients and healthy controls were obtained from the GEO database. Hub genes were screened using differential expression analysis, weighted gene co-expression network analysis (WGCNA), LASSO regression, random forest (RF) algorithms, and consensus clustering for DKD patient classification. Additionally, immune cell infiltration analysis was performed on differentially expressed genes to explore the relationship between hub genes and the immune microenvironment. Potential drugs targeting LPL were predicted based on gene-drug interaction analysis. Immunohistochemistry was used to verify the expression of LPL and TNF-α in kidney tissues from patients with varying degrees of DKD severity, as well as their relationship with kidney function impairment.</p>Results<p>This study revealed that LPL, a lipoprotein metabolism gene, plays a crucial role in DKD, participating in cholesterol and glycerolipid metabolism as well as PPAR signaling. LPL expression was negatively correlated with pro-inflammatory M1 macrophages and various subsets of T cells, including naïve CD4 T cells and gamma delta T cells, while positively correlated with follicular helper T cells, suggesting its immune-regulation effects in DKD progression. Potential LPL-targeting drugs, such as Ibrolipim, anabolic steroid, and acarbose, might mitigate DKD. LPL expression was decreased with DKD severity and was correlated with TNF-α and kidney dysfunction markers, indicating its key role in DKD progression.</p>Conclusion<p>LPL is a pivotal regulator of lipid metabolism and immune inflammation in DKD. Potential drugs targeting LPL offer new candidates for precision treatment of DKD. These findings lay a theoretical foundation for understanding the molecular mechanisms of DKD and developing LPL-based therapeutic strategies.</p>2025-07-17T04:07:45ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fendo.2025.1620032.s002https://figshare.com/articles/dataset/Data_Sheet_1_Bioinformatic_analysis_identifies_LPL_as_a_critical_gene_in_diabetic_kidney_disease_via_lipoprotein_metabolism_pdf/29587706CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/295877062025-07-17T04:07:45Z |
| spellingShingle | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf Qian Dong (414788) Cell Metabolism diabetic kidney disease lipoprotein lipase immune cell infiltration lipid metabolism bioinformatic |
| status_str | publishedVersion |
| title | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf |
| title_full | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf |
| title_fullStr | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf |
| title_full_unstemmed | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf |
| title_short | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf |
| title_sort | Data Sheet 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.pdf |
| topic | Cell Metabolism diabetic kidney disease lipoprotein lipase immune cell infiltration lipid metabolism bioinformatic |