Yuan Ma, Jing Ji, Xintong Liu, Xizi Zheng, Lingyi Xu, Qingqing Zhou, Zehua Li, Li Yang
{"title":"孟德尔随机化和大规模单细胞转录组学的整合分析揭示了 B 细胞亚型与糖尿病肾病之间的因果联系","authors":"Yuan Ma, Jing Ji, Xintong Liu, Xizi Zheng, Lingyi Xu, Qingqing Zhou, Zehua Li, Li Yang","doi":"10.1159/000539689","DOIUrl":null,"url":null,"abstract":"Introduction: The growing incidence of diabetic kidney disease (DKD) and the difficulties in its management underscore the need for a more comprehensive understanding of its pathogenesis. Recent studies have emphasized the significant impact of circulating immunity on the development of diabetic microvascular complications including retinopathy and neuropathy, research on circulating immunity in DKD remains limited. Methods: This study utilized mendelian randomization (MR) analysis to explore the potential independent causal relationships between circulating immune cells and DKD pathogenesis. Additionally, a combination of single-cell disease relevance score (scDRS) and immune cell infiltration analysis was employed to map the circulating immunity landscape in DKD patients. Results: Ten immune traits, including 5 of B cells, 2 of T cells, 2 of granulocytes and one of monocytes, were defined to be associated with the pathogenesis of DKD. Notably, IgD-CD27- B cell Absolute Count [IVW: OR, 1.102 (1.023 to 1.189), p=0.011] and IgD-CD24- B cell Absolute Count [IVW: OR, 1.106 (1.030 to 1.188), p=0.005] were associated with promoting DKD pathogenesis, while CD24+CD27+ B cell %B cell [IVW: OR, 0.943 (0.898 to 0.989), p=0.016] demonstrated a protective effect against DKD onset. The presence of B cell activating factor receptor (BAFF-R) on CD20-CD38- B cell [IVW: OR, 0.946 (0.904 to 0.989), p=0.015] and BAFF-R on IgD-CD38+ B cell [IVW: OR, 0.902 (0.834 to 0.975), p=0.009] also indicated a potential role in preventing DKD. Single-cell disease relevance score (scDRS) analysis revealed that two main subsets of B cells, naïve B and memory B cells, had a higher proportion of DKD-related cells or a higher scDRS score of DKD phenotype, indicating their strong association with DKD. Furthermore, immune infiltrate deconvolution analysis showed a notable decrease in the circulating memory B cells and class-switched memory B cells in DKD patients compared to those of DM patients without DKD. Conclusion: Our study revealed the causal relations between circulating immunity and DKD susceptibility, particularly highlighted the potential roles of B cell subtypes in DKD development. Further studies addressing the related mechanisms would broaden the current understanding of DKD pathogenesis.","PeriodicalId":506859,"journal":{"name":"Kidney Diseases","volume":"70 14","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrative analysis by mendelian randomization and large-scale single-cell transcriptomics reveals causal links between B cell subtypes and diabetic kidney disease\",\"authors\":\"Yuan Ma, Jing Ji, Xintong Liu, Xizi Zheng, Lingyi Xu, Qingqing Zhou, Zehua Li, Li Yang\",\"doi\":\"10.1159/000539689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: The growing incidence of diabetic kidney disease (DKD) and the difficulties in its management underscore the need for a more comprehensive understanding of its pathogenesis. Recent studies have emphasized the significant impact of circulating immunity on the development of diabetic microvascular complications including retinopathy and neuropathy, research on circulating immunity in DKD remains limited. Methods: This study utilized mendelian randomization (MR) analysis to explore the potential independent causal relationships between circulating immune cells and DKD pathogenesis. Additionally, a combination of single-cell disease relevance score (scDRS) and immune cell infiltration analysis was employed to map the circulating immunity landscape in DKD patients. Results: Ten immune traits, including 5 of B cells, 2 of T cells, 2 of granulocytes and one of monocytes, were defined to be associated with the pathogenesis of DKD. Notably, IgD-CD27- B cell Absolute Count [IVW: OR, 1.102 (1.023 to 1.189), p=0.011] and IgD-CD24- B cell Absolute Count [IVW: OR, 1.106 (1.030 to 1.188), p=0.005] were associated with promoting DKD pathogenesis, while CD24+CD27+ B cell %B cell [IVW: OR, 0.943 (0.898 to 0.989), p=0.016] demonstrated a protective effect against DKD onset. The presence of B cell activating factor receptor (BAFF-R) on CD20-CD38- B cell [IVW: OR, 0.946 (0.904 to 0.989), p=0.015] and BAFF-R on IgD-CD38+ B cell [IVW: OR, 0.902 (0.834 to 0.975), p=0.009] also indicated a potential role in preventing DKD. Single-cell disease relevance score (scDRS) analysis revealed that two main subsets of B cells, naïve B and memory B cells, had a higher proportion of DKD-related cells or a higher scDRS score of DKD phenotype, indicating their strong association with DKD. Furthermore, immune infiltrate deconvolution analysis showed a notable decrease in the circulating memory B cells and class-switched memory B cells in DKD patients compared to those of DM patients without DKD. Conclusion: Our study revealed the causal relations between circulating immunity and DKD susceptibility, particularly highlighted the potential roles of B cell subtypes in DKD development. Further studies addressing the related mechanisms would broaden the current understanding of DKD pathogenesis.\",\"PeriodicalId\":506859,\"journal\":{\"name\":\"Kidney Diseases\",\"volume\":\"70 14\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kidney Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1159/000539689\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kidney Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1159/000539689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
导言:糖尿病肾病(DKD)的发病率越来越高,治疗难度也越来越大,因此需要对其发病机制有更全面的了解。最近的研究强调了循环免疫对包括视网膜病变和神经病变在内的糖尿病微血管并发症发展的重要影响,但对 DKD 中循环免疫的研究仍然有限。研究方法本研究利用亡羊补牢随机化(MR)分析法探讨了循环免疫细胞与 DKD 发病机制之间潜在的独立因果关系。此外,还采用了单细胞疾病相关性评分(scDRS)和免疫细胞浸润分析相结合的方法来绘制 DKD 患者的循环免疫图谱。结果显示确定了与 DKD 发病机制相关的 10 种免疫特征,包括 5 种 B 细胞特征、2 种 T 细胞特征、2 种粒细胞特征和 1 种单核细胞特征。值得注意的是,IgD-CD27- B 细胞绝对计数[IVW:OR,1.102(1.023 至 1.189),p=0.011]和 IgD-CD24- B 细胞绝对计数[IVW:OR,1.106(1.030 至 1.188),p=0.而 CD24+CD27+ B 细胞 %B 细胞 [IVW: OR, 0.943 (0.898 to 0.989), p=0.016] 对 DKD 的发病有保护作用。CD20-CD38-B细胞上的B细胞活化因子受体(BAFF-R)[IVW:OR,0.946(0.904-0.989),p=0.015]和IgD-CD38+B细胞上的BAFF-R[IVW:OR,0.902(0.834-0.975),p=0.009]也显示了在预防DKD中的潜在作用。单细胞疾病相关性评分(scDRS)分析显示,B细胞的两个主要亚群,即幼稚B细胞和记忆B细胞,具有较高的DKD相关细胞比例或较高的DKD表型scDRS评分,表明它们与DKD密切相关。此外,免疫浸润解卷积分析表明,与无 DKD 的 DM 患者相比,DKD 患者的循环记忆 B 细胞和类调换记忆 B 细胞明显减少。结论我们的研究揭示了循环免疫与 DKD 易感性之间的因果关系,特别强调了 B 细胞亚型在 DKD 发病中的潜在作用。针对相关机制的进一步研究将拓宽目前对 DKD 发病机制的认识。
Integrative analysis by mendelian randomization and large-scale single-cell transcriptomics reveals causal links between B cell subtypes and diabetic kidney disease
Introduction: The growing incidence of diabetic kidney disease (DKD) and the difficulties in its management underscore the need for a more comprehensive understanding of its pathogenesis. Recent studies have emphasized the significant impact of circulating immunity on the development of diabetic microvascular complications including retinopathy and neuropathy, research on circulating immunity in DKD remains limited. Methods: This study utilized mendelian randomization (MR) analysis to explore the potential independent causal relationships between circulating immune cells and DKD pathogenesis. Additionally, a combination of single-cell disease relevance score (scDRS) and immune cell infiltration analysis was employed to map the circulating immunity landscape in DKD patients. Results: Ten immune traits, including 5 of B cells, 2 of T cells, 2 of granulocytes and one of monocytes, were defined to be associated with the pathogenesis of DKD. Notably, IgD-CD27- B cell Absolute Count [IVW: OR, 1.102 (1.023 to 1.189), p=0.011] and IgD-CD24- B cell Absolute Count [IVW: OR, 1.106 (1.030 to 1.188), p=0.005] were associated with promoting DKD pathogenesis, while CD24+CD27+ B cell %B cell [IVW: OR, 0.943 (0.898 to 0.989), p=0.016] demonstrated a protective effect against DKD onset. The presence of B cell activating factor receptor (BAFF-R) on CD20-CD38- B cell [IVW: OR, 0.946 (0.904 to 0.989), p=0.015] and BAFF-R on IgD-CD38+ B cell [IVW: OR, 0.902 (0.834 to 0.975), p=0.009] also indicated a potential role in preventing DKD. Single-cell disease relevance score (scDRS) analysis revealed that two main subsets of B cells, naïve B and memory B cells, had a higher proportion of DKD-related cells or a higher scDRS score of DKD phenotype, indicating their strong association with DKD. Furthermore, immune infiltrate deconvolution analysis showed a notable decrease in the circulating memory B cells and class-switched memory B cells in DKD patients compared to those of DM patients without DKD. Conclusion: Our study revealed the causal relations between circulating immunity and DKD susceptibility, particularly highlighted the potential roles of B cell subtypes in DKD development. Further studies addressing the related mechanisms would broaden the current understanding of DKD pathogenesis.