Evidence map›Paper›PMID 40501716›Full record

ArticlebioRxiv : the preprint server for biology2025

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

Jackson L Chin, Zhixin Cyrillus Tan, Rebecca A Sosa, Ying Zheng, David W Gjertson, Alexander Hoffmann, Fady M Kaldas, Yuan Zhai, Jerzy W Kupiec-Weglinski, Elaine F Reed and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jackson L ChinDepartment of Bioengineering, UCLA, Los Angeles, CA 90024, USA.ORCID 0000-0001-6124-9625
Zhixin Cyrillus TanBioinformatics Interdepartmental Program, UCLA, Los Angeles, CA 90024.
Rebecca A SosaDepartment of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA 90095, USA.
Ying ZhengDepartment of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA 90095, USA.
David W GjertsonDepartment of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA 90095, USA.
Alexander HoffmannBioinformatics Interdepartmental Program, UCLA, Los Angeles, CA 90024.
Fady M KaldasThe Dumont-UCLA Transplantation Center, Department of Surgery, Division of Liver and Pancreas Transplantation, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Yuan ZhaiThe Dumont-UCLA Transplantation Center, Department of Surgery, Division of Liver and Pancreas Transplantation, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Jerzy W Kupiec-WeglinskiDepartment of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA 90095, USA.ORCID 0000-0001-8976-4872
Elaine F ReedDepartment of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA 90095, USA.
Aaron S MeyerDepartment of Bioengineering, UCLA, Los Angeles, CA 90024, USA.ORCID 0000-0003-4513-1840

Funding

Regulation of Innate Immune Responses by Alloimmunity in Liver Ischemia-Reperfusion InjuryP01AI120944 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jerzy W Kupiec-Weglinski · 2017 to 2026
$20.0M
Systems Epigenomics of Persistent Bloodstream InfectionU19AI172713 · NIAID · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI Michael R Yeaman · 2023 to 2026
$11.6M
NIAID NIH HHS P01 AI120944NIAID NIH HHS U19 AI172713
6 · The paper itself

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.

Identifiers

PMID40501716
PMCPMC12154882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.