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转录组关联研究衍生的基因作为 2 型糖尿病潜在的内脏脂肪组织特异性靶点。

Transcriptome-wide association study-derived genes as potential visceral adipose tissue-specific targets for type 2 diabetes.

机构信息

Department of Metabolic and Bariatric Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.

Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, China.

出版信息

Diabetologia. 2023 Nov;66(11):2087-2100. doi: 10.1007/s00125-023-05978-5. Epub 2023 Aug 4.

DOI:10.1007/s00125-023-05978-5
PMID:37540242
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10542736/
Abstract

AIMS/HYPOTHESIS: This study aimed to assess the causal relationship between visceral obesity and type 2 diabetes and subsequently to screen visceral adipose tissue (VAT)-specific targets for type 2 diabetes.

METHODS

We examined the causal relationship between VAT and type 2 diabetes using bidirectional Mendelian randomisation (MR) followed by multivariable MR. We conducted a transcriptome-wide association study (TWAS) leveraging prediction models and a large-scale type 2 diabetes genome-wide association study (74,124 cases and 824,006 controls) to identify candidate genes in VAT and used summary-data-based MR (SMR) and co-localisation analysis to map causal genes. We performed enrichment and single-cell RNA-seq analyses to determine the cell-specific localisation of the TWAS-identified genes. We also conducted knockdown experiments in 3T3-L1 pre-adipocytes.

RESULTS

MR analyses showed a causal relationship between genetically increased VAT mass and type 2 diabetes (inverse-variance weighted OR 2.48 [95% CI 2.21, 2.79]). Ten VAT-specific candidate genes were associated with type 2 diabetes after Bonferroni correction, including five causal genes supported by SMR and co-localisation: PABPC4 (1p34.3); CCNE2 (8q22.1); HAUS6 (9p22.1); CWF19L1 (10q24.31); and CCDC92 (12q24.31). Combined with enrichment analyses, clarifying cell-type specificity with single-cell RNA-seq data indicated that most TWAS-identified candidate genes appear more likely to be associated with adipocytes in VAT. Knockdown experiments suggested that Pabpc4 likely contributes to regulating differentiation and energy metabolism in 3T3-L1 adipocytes.

CONCLUSIONS/INTERPRETATION: Our findings provide new insights into the genetic basis and biological processes of the association between VAT accumulation and type 2 diabetes and warrant investigation through further functional studies to validate these VAT-specific candidate genes.

摘要

目的/假设:本研究旨在评估内脏肥胖与 2 型糖尿病之间的因果关系,进而筛选 2 型糖尿病的内脏脂肪组织(VAT)特异性靶点。

方法

我们使用双向 Mendelian 随机化(MR),随后进行多变量 MR 来检验 VAT 与 2 型糖尿病之间的因果关系。我们利用预测模型和大规模 2 型糖尿病全基因组关联研究(74124 例病例和 824006 例对照)进行全转录组关联研究(TWAS),以鉴定 VAT 中的候选基因,并使用基于汇总数据的 MR(SMR)和共定位分析来映射因果基因。我们进行了富集和单细胞 RNA-seq 分析,以确定 TWAS 鉴定基因的细胞特异性定位。我们还在 3T3-L1 前脂肪细胞中进行了敲低实验。

结果

MR 分析表明,遗传上增加的 VAT 质量与 2 型糖尿病之间存在因果关系(逆方差加权 OR 2.48 [95%CI 2.21, 2.79])。在 Bonferroni 校正后,有 10 个 VAT 特异性候选基因与 2 型糖尿病相关,其中包括 SMR 和共定位支持的 5 个因果基因:PABPC4(1p34.3);CCNE2(8q22.1);HAUS6(9p22.1);CWF19L1(10q24.31);和 CCDC92(12q24.31)。结合富集分析,利用单细胞 RNA-seq 数据阐明细胞特异性表明,TWAS 鉴定的大多数候选基因似乎更可能与 VAT 中的脂肪细胞相关。敲低实验表明,Pabpc4 可能有助于调节 3T3-L1 脂肪细胞的分化和能量代谢。

结论/解释:我们的研究结果为 VAT 积累与 2 型糖尿病之间的关联的遗传基础和生物学过程提供了新的见解,并需要通过进一步的功能研究来验证这些 VAT 特异性候选基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/e4635a3b4d4a/125_2023_5978_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/21f76dd53f38/125_2023_5978_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/0977e321bf2b/125_2023_5978_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/d07149413ca5/125_2023_5978_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/e4635a3b4d4a/125_2023_5978_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/21f76dd53f38/125_2023_5978_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/0977e321bf2b/125_2023_5978_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/d07149413ca5/125_2023_5978_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a43/10542736/e4635a3b4d4a/125_2023_5978_Fig4_HTML.jpg

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