Gong Jessica, Preminger Zohar, Steptoe Andrew, Fancourt Daisy
Department of Epidemiology and Public Health, University College London, WC1E 7HB, United Kingdom; George Institute for Global Health, Imperial College London, W12 7RZ, United Kingdom.
Department of Epidemiology and Public Health, University College London, WC1E 7HB, United Kingdom.
Brain Behav Immun. 2025 Feb;124:85-94. doi: 10.1016/j.bbi.2024.11.024. Epub 2024 Nov 23.
The understanding of biological pathways related to loneliness and social isolation remains incomplete. Cutting-edge population-based proteomics offers opportunities to uncover novel biological pathways linked to social deficits.
This study employed a proteome-wide and data-driven approach to estimate the cross-sectional associations between objective measures of social connections (i.e., social isolation) and subjective measures (i.e., loneliness) with protein abundance, using the English Longitudinal Study of Ageing.
Greater social isolation was associated with higher levels of 11 proteins (TNFRSF10A, MMP12, TRAIL-R2, SKR3, TNFRSF11A, VSIG2, PRSS8, FGFR2, KIM1, REN, and NEFL) after minimal adjustments; and three proteins were significantly associated after full adjustments (TNFRSF10A, TNFRSF11A, and HAOX1). Findings from two-sample Mendelian randomization indicated that a lower frequency of in-person social contact with friends or family causally increased levels of TNFRSF10A, TRAIL-R2, TNFRSF11A, and KIM1, and decreased the level of NEFL. The study also highlighted several enriched biological pathways, including necrosis and cell death regulation, dimerization of procaspase-8, and inhibition of caspase-8 pathways, which have previously not been linked to social deficits.
These findings could help explain the relationship between social deficits and disease, confirming the importance of continuing to explore novel biological pathways associated with social deficits.
对与孤独和社会隔离相关的生物学途径的理解仍不完整。前沿的基于人群的蛋白质组学为揭示与社会缺陷相关的新生物学途径提供了机会。
本研究采用全蛋白质组和数据驱动的方法,利用英国老龄化纵向研究,估计社会联系的客观指标(即社会隔离)和主观指标(即孤独感)与蛋白质丰度之间的横断面关联。
在进行最小调整后,更高程度的社会隔离与11种蛋白质(TNFRSF10A、M、MMP12、TRAIL-R2、SKR3、TNFRSF11A、VSIG2、PRSS8、FGFR2、KIM1、REN和NEFL)水平升高相关;在进行全面调整后,三种蛋白质显著相关(TNFRSF10A、TNFRSF11A和HAOX1)。两样本孟德尔随机化研究结果表明,与朋友或家人进行面对面社交接触的频率较低会因果性地增加TNFRSF10A、TRAIL-R2、TNFRSF11A和KIM1的水平,并降低NEFL的水平。该研究还突出了几条富集的生物学途径,包括坏死和细胞死亡调节、procaspase-8二聚化以及caspase-8途径抑制,这些途径此前未与社会缺陷相关联。
这些发现有助于解释社会缺陷与疾病之间的关系,证实了继续探索与社会缺陷相关的新生物学途径的重要性。