Suppr超能文献

基于张量的时间序列测量整合揭示了肝移植中潜在疾病、早期损伤与CD4 +极化之间的关系。

Tensor-Based Integration of Time-Series Measurements Reveals Relationships Between Underlying Disease, Early Injury, and CD4+ Polarization in Liver Transplantation.

作者信息

Chin Jackson L, Tan Zhixin Cyrillus, Sosa Rebecca A, Zheng Ying, Gjertson David W, Hoffmann Alexander, Kaldas Fady M, Zhai Yuan, Kupiec-Weglinski Jerzy W, Reed Elaine F, Meyer Aaron S

机构信息

Department of Bioengineering, UCLA, Los Angeles, CA 90024, USA.

Bioinformatics Interdepartmental Program, UCLA, Los Angeles, CA 90024.

出版信息

bioRxiv. 2025 May 30:2025.05.29.655766. doi: 10.1101/2025.05.29.655766.

Abstract

For patients with end-stage liver failure, liver transplantation (LT) remains the standard-of-care, though five-year allograft survival rates remain below 80%. Liver ischemia reperfusion injuries (LIRI) arise during transplant and contribute to allograft dysfunction. While many drivers of LIRI have been well-characterized, the relationships between LIRI and later immunological signatures remain poorly understood, possibly because of limited integrated studies examining immunological signatures across the LT process. Furthermore, the role of underlying disease in LT remains poorly understood as it is unknown if later immunological signatures are universal or etiology dependent. To better examine etiology- and LIRI-driven immunological mechanisms across the LT lifetime, we collected cytokine and liver function test (LFT) measurements from LT donors and recipients at multiple pre- and post-operative timepoints. By developing a tensor-based factorization method to integrate these longitudinal measurements, we reduced the datasets to four immunological signatures that manifested across cytokines, LFTs, and time. Correlative analyses revealed associations between these integrated immunological signatures with etiology and LIRI. Later integration of allograft survival into this factorization method reduced these four signatures to two that were predictive of five-year allograft survival. Examination of these signatures prognostic of allograft survival found that CD4+ hyperpolarization towards Th1 or Th2 subtypes impaired growth factor expression and led to increased allograft loss risk. Clinical correlates revealed that donor and recipient age alongside etiology and donor liver health modulate this balance of CD4+ polarization in LT. Collectively, these results link immunological mechanisms to etiology and LIRI offering immediately actionable clinical insights alongside etiology- and donor-specific therapeutic targets for improving LT outcomes.

摘要

对于终末期肝衰竭患者,肝移植(LT)仍然是标准治疗方法,尽管同种异体移植物的五年生存率仍低于80%。肝缺血再灌注损伤(LIRI)在移植过程中出现,并导致同种异体移植物功能障碍。虽然LIRI的许多驱动因素已得到充分表征,但LIRI与后期免疫特征之间的关系仍知之甚少,这可能是因为在LT过程中对免疫特征进行综合研究的数量有限。此外,潜在疾病在LT中的作用仍知之甚少,因为尚不清楚后期免疫特征是普遍存在还是依赖于病因。为了更好地研究LT全过程中病因和LIRI驱动的免疫机制,我们在多个术前和术后时间点收集了LT供体和受体的细胞因子和肝功能测试(LFT)测量值。通过开发一种基于张量的分解方法来整合这些纵向测量值,我们将数据集简化为四种免疫特征,这些特征在细胞因子、LFT和时间上均有体现。相关分析揭示了这些综合免疫特征与病因和LIRI之间的关联。随后将同种异体移植物存活率纳入这种分解方法,将这四种特征减少为两种,这两种特征可预测五年同种异体移植物存活率。对这些预测同种异体移植物存活率的特征进行检查发现,CD4+向Th1或Th2亚型的超极化会损害生长因子表达,并导致同种异体移植物丢失风险增加。临床相关性分析表明,供体和受体年龄以及病因和供体肝脏健康状况会调节LT中CD4+极化的这种平衡。总的来说,这些结果将免疫机制与病因和LIRI联系起来,为改善LT结果提供了具有直接可操作性的临床见解以及病因和供体特异性治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e945/12154882/dd1501a849aa/nihpp-2025.05.29.655766v1-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验