Division of Gastroenterology, Hepatology, and Nutrition, Boston Children's Hospital, Boston, Mass; Broad Institute of MIT and Harvard, Cambridge, Mass; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, Mass.
Division of Gastroenterology, Hepatology, and Nutrition, Boston Children's Hospital, Boston, Mass; Broad Institute of MIT and Harvard, Cambridge, Mass; Ragon Institute of Massachusetts General Hospital, MIT and Harvard, Boston; Program in Immunology, Harvard Medical School, Boston, Mass; Harvard Stem Cell Institute, Harvard University, Cambridge, Mass.
J Allergy Clin Immunol. 2024 Nov;154(5):1095-1105. doi: 10.1016/j.jaci.2024.09.014. Epub 2024 Sep 26.
Tissue ecosystems are cellular communities that maintain set points through a network of intercellular interactions. We position health and chronic inflammatory disease as alternative stable set points that are (1) robust to perturbation and (2) capable of adaptation and memory. Inflammatory memory, which is the storage of prior experience to durably influence future responsiveness, is central to how tissue ecosystems may be pushed past tipping points that stabilize disease over health. Here, we develop a reductionist framework of circuit motifs that recur in tissue set points. In type 2 immunity, we distinctly find the emergence of 2-cell positive feedback motifs. In contrast, directional motif relays and 3-cell networks feature more prominently in type 1 and 17 responses. We propose that these differences guide the ecologic networks established after surpassing tipping points and associate closely with therapeutic responsiveness. We highlight opportunities to improve our current knowledge of how circuit motifs interact when building toward tissue-level networks across adaptation and memory. By developing new tools for circuit motif nomination and applying them to temporal profiling of tissue ecosystems, we hope to dissect the stability of the chronic inflammatory set point and open therapeutic avenues for rewriting memory to restore health.
组织生态系统是通过细胞间相互作用网络维持设定点的细胞群落。我们将健康和慢性炎症性疾病定位为替代的稳定设定点,这些设定点(1)对干扰具有鲁棒性,(2)能够适应和记忆。炎症记忆是将先前的经验储存起来以持久地影响未来的反应能力,这是组织生态系统如何可能超越稳定疾病而非健康的临界点的核心。在这里,我们开发了一个简化的电路基元框架,该框架在组织设定点中反复出现。在 2 型免疫中,我们明显发现了 2 细胞正反馈基元的出现。相比之下,定向基元中继和 3 细胞网络在 1 型和 17 型反应中更为突出。我们提出,这些差异指导在超过临界点后建立的生态网络,并与治疗反应性密切相关。我们强调了在适应和记忆过程中构建组织水平网络时,了解电路基元如何相互作用的机会。通过开发用于电路基元提名的新工具,并将其应用于组织生态系统的时间分析,我们希望能够剖析慢性炎症设定点的稳定性,并开辟治疗途径,重写记忆以恢复健康。