脂肪组织
生物
切梅林
转录组
脂肪生成
细胞生物学
脂肪细胞
胚胎干细胞
怀孕
脂肪因子
内分泌学
内科学
医学
胰岛素抵抗
遗传学
肥胖
基因
基因表达
作者
Akiko Yano,Shuang Liu,Yoshito Suzuki,Masayuki Imai,Masaki Mogi,Takashi Sugiyama
出处
期刊:Life Sciences
[Elsevier]
日期:2023-12-01
卷期号:334: 122214-122214
标识
DOI:10.1016/j.lfs.2023.122214
摘要
The activity and interactions of cellular subpopulations in the adipose tissue microenvironment are critical for the coordination of local and systemic adaptation during pregnancy. With a particular interest in parametrial adipose tissue (PmAT), single-cell RNA-sequencing (scRNA-seq) was utilized to unveil the gestative cellular composition and functional shift.To identify cell-type-enriched transcriptome profiles, a total of 18,074 cells in adipose tissue were studied. The cell populations were cataloged, and signaling crosstalk between adipocytes and other composition factions via soluble and membrane-bound factors were evaluated.A marked decline of pregnancy adipocytes and relative elevation of non-adipocyte fractions were observed. A subpopulation of adipocytes, Adipo_5, with unique properties in the response to estrogen and the embryonic processes involved in pregnancy, was defined. Interactome analysis revealed the potential contribution of PmAT to the establishment of maternal-fetal immune tolerance. During gestation, adipocytes shut down outgoing signaling, resulting in deterioration of the resistin-related incoming signaling network in B cells, which would therefore benefit tissue-specific maternal-fetal tolerance. Furthermore, a subpopulation of adipocytes, Aipo_2, was also considered to take part in a paradigm shift in the process of pregnancy-induced chemical stiffness-triggered vesicular remodeling via the THBS signaling pathway network.These data-derived findings will encourage investigation into the role of pregnant PmTA in pregnancy-related immunological, hypertensive and metabolic disorders, with the ultimate goal of establishing preventive strategies to mitigate these pregnancy-related health challenges. This translational aspect of our work holds significant promise for improving maternal and fetal well-being.
科研通智能强力驱动
Strongly Powered by AbleSci AI