Evidence map›Paper›PMID 37730434›Full record

ArticleLife science alliance2023

Cell-free chromatin immunoprecipitation to detect molecular pathways in heart transplantation.

Moon Kyoo Jang, Tovah E Markowitz, Temesgen E Andargie, Zainab Apalara, Skyler Kuhn, Sean Agbor-Enoh

Open access · goldAbstract read
In one paragraph

Article in Life science alliance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

10 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Moon Kyoo JangGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-1657-2877
Tovah E MarkowitzNIAID Collaborative Bioinformatics Resource, Integrated Data Sciences Section, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA.
Temesgen E AndargieGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA.ORCID https://orcid.org/0000-0003-2888-1316
Zainab ApalaraGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA.
Skyler KuhnNIAID Collaborative Bioinformatics Resource, Integrated Data Sciences Section, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA.
Sean Agbor-EnohGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA sean.agbor-enoh@nih.gov.ORCID https://orcid.org/0000-0002-9380-9161
National Heart Lung and Blood Institute · USNational Institute of Allergy and Infectious Diseases · USHoward University · USJohns Hopkins University · US

Funding

Intramural NIH HHS Z99 HL999999
6 · The paper itself

Abstract

Existing monitoring approaches in heart transplantation lack the sensitivity to provide deep molecular assessments to guide management, or require endomyocardial biopsy, an invasive and blind procedure that lacks the precision to reliably obtain biopsy samples from diseased sites. This study examined plasma cell-free DNA chromatin immunoprecipitation sequencing (cfChIP-seq) as a noninvasive proxy to define molecular gene sets and sources of tissue injury in heart transplant patients. In healthy controls and in heart transplant patients, cfChIP-seq reliably detected housekeeping genes. cfChIP-seq identified differential gene signals of relevant immune and nonimmune molecular pathways that were predominantly down-regulated in immunosuppressed heart transplant patients compared with healthy controls. cfChIP-seq also identified cell-free DNA tissue sources. Compared with healthy controls, heart transplant patients demonstrated greater cell-free DNA from tissue types associated with heart transplant complications, including the heart, hematopoietic cells, lungs, liver, and vascular endothelium. cfChIP-seq may therefore be a reliable approach to profile dynamic assessments of molecular pathways and sources of tissue injury in heart transplant patients.

Indexed as

Cell-Free Nucleic AcidsHeart TransplantationChromatin ImmunoprecipitationChromatin Immunoprecipitation SequencingHeartHumansCell-Free Nucleic Acids

Identifiers

PMID37730434
PMCPMC10511822
OpenAlexW4386897461

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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.