论文标题

网络分析揭示了饮食诱导的体重减轻期间脂肪组织GDF15和BMI的变化之间的负面联系

Network analyses reveal negative link between changes in adipose tissue GDF15 and BMI during dietary-induced weight loss

论文作者

Imbert, Alyssa, Vialaneix, Nathalie, Marquis, Julien, Vion, Julie, Charpagne, Aline, Metairon, Sylviane, Laurens, Claire, Moro, Cedric, Boulet, Nathalie, Walter, Ondine, Lefebvre, Grégory, Hager, Jörg, Langin, Dominique, Saris, Wim, Astrup, Arne, Viguerie, Nathalie, Valsesia, Armand

论文摘要

脂肪组织(AT)转录组研究提供了适应体重和相关生物细节环境变化的整体图片。在2阶段饮食干预(DI)的3个步骤中,在基因表达分析中实施并研究了生物细节参数变化与基因表达之间的联系。转录组分析中的方法是从1051个样品的测序中获得的,相当于在减肥干预措施(800 kcal/day)中参加的556个不同的个体,然后进行6个月的AD AD AD ADBIBANTARIBUM随机DI。用量化测序获得的转录组曲线针对Illumina rnaseq进行了基准测试。逆转录定量聚合酶链反应用于进一步确认关联。使用新鲜分离的细胞和THP-1细胞系评估细胞特异性。在LCD期间,发现了5个模块,其中3个包括至少1个生物细胞变量。与具有炎症反应特征的基因mRNA水平变化有关的体重指数(BMI)的变化。在该模块中,BMI的变化与编码分泌蛋白质(GDF15,CCL3和SPP1)的基因表达变化负相关。通过DI的所有阶段,GDF15的变化与SPP1,CCL3,LIPA和CD68的变化有关。进一步的表征表明,这些基因是巨噬细胞(在抗炎巨噬细胞中表达的LIPA,CD68和GDF15)和GDF15的特异性。结论网络分析确定了一部在特征上的小说,而GDF15则与卡路里限制引起的体重减轻,同时与巨噬细胞标记相关。在AT中,GDF15在巨噬细胞和巨噬细胞中表达,它们是抗炎细胞的标志。

Adipose tissue (AT) transcriptome studies provide holistic pictures of adaptation to weight and related bioclinical settings changes. Objective To implement AT gene expression profiling and investigate the link between changes in bioclinical parameters and AT gene expression during 3 steps of a 2-phase dietary intervention (DI). Methods AT transcriptome profiling was obtained from sequencing 1051 samples, corresponding to 556 distinct individuals enrolled in a weight loss intervention (8-week low-calorie diet (LCD) at 800 kcal/day) followed with a 6-month ad libitum randomized DI. Transcriptome profiles obtained with QuantSeq sequencing were benchmarked against Illumina RNAseq. Reverse transcription quantitative polymerase chain reaction was used to further confirm associations. Cell specificity was assessed using freshly isolated cells and THP-1 cell line. Results During LCD, 5 modules were found, of which 3 included at least 1 bioclinical variable. Change in body mass index (BMI) connected with changes in mRNA level of genes with inflammatory response signature. In this module, change in BMI was negatively associated with changes in expression of genes encoding secreted protein (GDF15, CCL3, and SPP1). Through all phases of the DI, change in GDF15 was connected to changes in SPP1, CCL3, LIPA and CD68. Further characterization showed that these genes were specific to macrophages (with LIPA, CD68 and GDF15 expressed in anti-inflammatory macrophages) and GDF15 also expressed in preadipocytes. Conclusion Network analyses identified a novel AT feature with GDF15 upregulated with calorie restriction induced weight loss, concomitantly to macrophage markers. In AT, GDF15 was expressed in preadipocytes and macrophages where it was a hallmark of anti-inflammatory cells.

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