Evidence map›Paper›PMID 40324822›Full record

ArticleLife science alliance2025

DNA methylation predicts infection risk in kidney transplant recipients.

Fei-Man Hsu, Harry Pickering, Liudmilla Rubbi, Michael Thompson, Elaine F Reed, Matteo Pellegrini, Joanna M Schaenman

Abstract read
In one paragraph

Article in Life science alliance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fei-Man HsuDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-9901-7464
Harry PickeringDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Liudmilla RubbiDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Michael ThompsonDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Elaine F ReedDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Matteo PellegriniDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA matteop@mcdb.ucla.edu.ORCID 0000-0001-9355-9564
Joanna M SchaenmanDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA JSchaenman@mednet.ucla.edu.ORCID 0000-0003-1174-3961

Funding

Evaluation of Epigenetic Markers of Biologic Age to Predict Adverse Outcomes after TransplantationR21AG055879 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SCHAENMAN, JOANNA M · 2018 to 2019
$429k
NIA NIH HHS R21 AG055879
6 · The paper itself

Abstract

Kidney transplantation (KTx) is the method of choice for treating kidney failure. Identifying biomarkers predictive of transplant (Tx) outcomes is critical to optimize KTx; however, the immunosuppressive therapies required after KTx must also be considered. We applied targeted bisulfite sequencing (TBS-seq) to PBMCs isolated from 90 patients, with samples collected pre- and post-Tx (day 90), to measure DNA methylation changes. Our findings indicate that the PBMC DNA methylome is significantly affected by induction immunosuppression with anti-thymocyte globulin (ATG). We discovered that the risk of infection can be predicted using DNA methylation profiles, but not gene expression profiles. Specifically, 515 CpG

Indexed as

DNA MethylationInfectionsKidney TransplantationAdultAgedAntilymphocyte SerumBiomarkersCpG IslandsFemaleHumansImmunosuppression TherapyImmunosuppressive AgentsLeukocytes, MononuclearMaleMiddle AgedRisk FactorsAntilymphocyte SerumBiomarkersImmunosuppressive Agents

Identifiers

PMID40324822
PMCPMC12053434

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.