HIV患者心脏代谢疾病中脂肪组织基因表达和血浆脂质组的首要地位

Samuel S Bailin, Siyuan Ma, Andrew S Perry, James G Terry, John Jeffrey Carr, Sangeeta Nair, Heidi J Silver, Mingjian Shi, Mona Mashayekhi, Jonathan A Kropski, Jane F Ferguson, Celestine N Wanjalla, Suman R Das, Ravi Shah, John R Koethe, Curtis L Gabriel
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We performed circulating lipidomics, proteomics, and metabolomics, as well as subcutaneous adipose tissue (SAT) bulk transcriptomics, and used multiomics factor analysis (MOFA) to perform integrative analyses of these datasets. Results The median age was 43 years, median body mass index 30.8 kg/m2, 81% were male, and 56% were self-identified non-Hispanic White. We identified a specific MOFA factor associated with visceral adipose tissue volume (ρ = −0.43), homeostasis model assessment 2 insulin resistance score (ρ = −0.52), liver density (ρ = 0.43), and other cardiometabolic risk factors, which explained more variance in the SAT transcriptome and circulating lipidome compared with the circulating proteome and metabolome. Gene set enrichment analysis of this factor showed extracellular matrix and inflammatory pathways that primarily mapped to SAT myeloid cells and adipose progenitor cells using single-cell deconvolution. 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引用次数: 0

摘要

背景:接受当代抗逆转录病毒治疗(ART)的HIV感染者(PWH)发生与年龄相关的心脏代谢疾病的风险升高。我们假设,对来自PWH的跨组织、多模态数据的综合分析可以为定义这一高危人群的心脏代谢表型的分子编程提供见解。方法我们招募了93名没有糖尿病的PWH,他们在当代ART治疗中受到病毒学抑制,并获得了胰岛素抵抗、葡萄糖耐受不良和肥胖的测量。我们进行了循环脂质组学、蛋白质组学和代谢组学,以及皮下脂肪组织(SAT)大量转录组学,并使用多组学因素分析(MOFA)对这些数据集进行了综合分析。结果中位年龄43岁,中位体重指数30.8 kg/m2, 81%为男性,56%为自认为非西班牙裔白人。我们确定了一个特定的MOFA因子与内脏脂肪组织体积(ρ = - 0.43)、稳态模型评估2胰岛素抵抗评分(ρ = - 0.52)、肝脏密度(ρ = 0.43)和其他心脏代谢危险因素相关,与循环蛋白质组和代谢组相比,它解释了SAT转录组和循环脂质组的更多差异。该因子的基因集富集分析显示,细胞外基质和炎症途径主要定位于单核细胞髓细胞和脂肪祖细胞。脂质组学分析表明,该因子在甘油三酯和二甘油三酯物种中显著富集。结论:我们的多组学分析表明,病毒学抑制的PWH与心脏代谢疾病风险升高有协调的多组织分子重编程。对PWH进行纵向研究,评估脂肪组织和脂质处理,对于了解PWH中心脏代谢疾病的机制是必要的。临床试验注册。NCT04451980。
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The Primacy of Adipose Tissue Gene Expression and Plasma Lipidome in Cardiometabolic Disease in Persons With HIV
Background Persons with HIV (PWH) on contemporary antiretroviral therapy (ART) are at elevated risk for developing age-related cardiometabolic diseases. We hypothesized that integrative analysis of cross-tissue, multimodal data from PWH could provide insight into molecular programming that defines cardiometabolic phenotypes in this high-risk group. Methods We enrolled 93 PWH without diabetes who were virologically suppressed on contemporary ART and obtained measures of insulin resistance, glucose intolerance, and adiposity. We performed circulating lipidomics, proteomics, and metabolomics, as well as subcutaneous adipose tissue (SAT) bulk transcriptomics, and used multiomics factor analysis (MOFA) to perform integrative analyses of these datasets. Results The median age was 43 years, median body mass index 30.8 kg/m2, 81% were male, and 56% were self-identified non-Hispanic White. We identified a specific MOFA factor associated with visceral adipose tissue volume (ρ = −0.43), homeostasis model assessment 2 insulin resistance score (ρ = −0.52), liver density (ρ = 0.43), and other cardiometabolic risk factors, which explained more variance in the SAT transcriptome and circulating lipidome compared with the circulating proteome and metabolome. Gene set enrichment analysis of this factor showed extracellular matrix and inflammatory pathways that primarily mapped to SAT myeloid cells and adipose progenitor cells using single-cell deconvolution. Lipidomic analysis showed that this factor was significantly enriched for triacylglycerol and diacylglycerol species. Conclusions Our multiomic analysis demonstrated coordinated, multitissue molecular reprogramming in virologically suppressed PWH with elevated cardiometabolic disease risk. Longitudinal studies of PWH with assessments of adipose tissue and lipid handling are necessary to understand mechanisms of cardiometabolic disease in PWH. Clinical Trials Registration. NCT04451980.
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