Olle Hartvigsson, Malin Barman, Hardis Rabe, Anna Sandin, Agnes E Wold, Carl Brunius, Ann-Sofie Sandberg
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Subpopulations of T and B cells were measured using flow cytometry at birth, 48 h, one, four, and 12 months. Random forest analysis was used to link the metabolomics data with the T and B cell sub populations as well as infant and maternal characteristics.</p><p><strong>Results: </strong>Modest associations (Q2 = 0.2-0.3) were found between the placental metabolome and kappa-deleting recombination excision circles (KREC) at birth and naïve B cells and memory T cells at 12 months. Weak associations were observed between the placental metabolome and sex and parity. Still, most metabolite features of interest were of low intensity compared to associations previously found in cord blood, suggesting that underlying metabolites were not of placental origin.</p><p><strong>Conclusion: </strong>Our results indicate that metabolomic measurements of the placenta may not effectively recognize metabolites important for immune maturation.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10896773/pdf/","citationCount":"0","resultStr":"{\"title\":\"Associations of the placental metabolome with immune maturation up to one year of age in the Swedish NICE-cohort.\",\"authors\":\"Olle Hartvigsson, Malin Barman, Hardis Rabe, Anna Sandin, Agnes E Wold, Carl Brunius, Ann-Sofie Sandberg\",\"doi\":\"10.1007/s11306-024-02092-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Allergies and other immune-mediated diseases are thought to result from incomplete maturation of the immune system early in life. 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引用次数: 0
摘要
导言:过敏和其他免疫介导疾病被认为是生命早期免疫系统不完全成熟的结果。我们曾发现,婴儿出生时的代谢物与婴儿期的免疫细胞亚型有关。胎盘为胎儿提供营养,但也可能提供免疫成熟信号:目的:研究胎盘绒毛组织中的代谢物与婴儿出生后第一年的免疫成熟以及婴儿和母体特征(胎龄、出生体重、性别、奇偶数、母体年龄和体重指数)之间的关系:方法:采用液相色谱-质谱联用技术测量非靶向代谢组学。使用流式细胞术测量出生、48 小时、1 个月、4 个月和 12 个月时的 T 细胞和 B 细胞亚群。采用随机森林分析法将代谢组学数据与 T 细胞和 B 细胞亚群以及婴儿和母亲特征联系起来:结果:胎盘代谢组与出生时的卡帕缺失重组切割圈(KREC)以及12个月时的幼稚B细胞和记忆T细胞之间存在微弱关联(Q2 = 0.2-0.3)。胎盘代谢组与性别和胎次之间的关联较弱。不过,与之前在脐带血中发现的关联相比,大多数代谢物的相关特征强度较低,这表明潜在的代谢物并非源自胎盘:我们的研究结果表明,胎盘代谢组测量可能无法有效识别对免疫成熟很重要的代谢物。
Associations of the placental metabolome with immune maturation up to one year of age in the Swedish NICE-cohort.
Introduction: Allergies and other immune-mediated diseases are thought to result from incomplete maturation of the immune system early in life. We previously showed that infants' metabolites at birth were associated with immune cell subtypes during infancy. The placenta supplies the fetus with nutrients, but may also provide immune maturation signals.
Objectives: To examine the relationship between metabolites in placental villous tissue and immune maturation during the first year of life and infant and maternal characteristics (gestational length, birth weight, sex, parity, maternal age, and BMI).
Methods: Untargeted metabolomics was measured using Liquid Chromatography-Mass Spectrometry. Subpopulations of T and B cells were measured using flow cytometry at birth, 48 h, one, four, and 12 months. Random forest analysis was used to link the metabolomics data with the T and B cell sub populations as well as infant and maternal characteristics.
Results: Modest associations (Q2 = 0.2-0.3) were found between the placental metabolome and kappa-deleting recombination excision circles (KREC) at birth and naïve B cells and memory T cells at 12 months. Weak associations were observed between the placental metabolome and sex and parity. Still, most metabolite features of interest were of low intensity compared to associations previously found in cord blood, suggesting that underlying metabolites were not of placental origin.
Conclusion: Our results indicate that metabolomic measurements of the placenta may not effectively recognize metabolites important for immune maturation.
期刊介绍:
Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to:
metabolomic applications within man, including pre-clinical and clinical
pharmacometabolomics for precision medicine
metabolic profiling and fingerprinting
metabolite target analysis
metabolomic applications within animals, plants and microbes
transcriptomics and proteomics in systems biology
Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.