Evidence map›Paper›PMID 36701416›Full record

ArticlePloS one2023

Transcriptional responses define dysregulated immune activation in Hepatitis C (HCV)-naïve recipients of HCV-infected donor kidneys.

Julie M Steinbrink, Cameron Miller, Rachel A Myers, Scott Sanoff, Anna Mazur, Thomas W Burke, Jennifer Byrns, Annette M Jackson, Xunrong Luo, Micah T McClain

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 2 institutions in 1 country.

Julie M SteinbrinkDivision of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, United States of America.ORCID 0000-0003-0771-3647
Cameron MillerCenter for Applied Genomics & Precision Medicine, Department of Medicine, Duke University, Durham, NC, United States of America.
Rachel A MyersCenter for Applied Genomics & Precision Medicine, Department of Medicine, Duke University, Durham, NC, United States of America.
Scott SanoffDivision of Nephrology, Department of Medicine, Duke University Medical Center, Durham, NC, United States of America.
Anna MazurCenter for Applied Genomics & Precision Medicine, Department of Medicine, Duke University, Durham, NC, United States of America.
Thomas W BurkeCenter for Applied Genomics & Precision Medicine, Department of Medicine, Duke University, Durham, NC, United States of America.ORCID 0000-0003-0592-5822
Jennifer ByrnsDepartment of Pharmacy, Duke University Medical Center, Durham, NC, United States of America.
Annette M JacksonDepartments of Surgery and Immunology, Duke University, Durham, NC, United States of America.
Xunrong LuoDivision of Nephrology, Department of Medicine, Duke University Medical Center, Durham, NC, United States of America.
Micah T McClainDivision of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, United States of America.
Duke University · USDuke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal transplantation from hepatitis C (HCV) nucleic acid amplification test-positive (NAAT-positive) donors to uninfected recipients has greatly increased the organ donation pool. However, there is concern for adverse outcomes in these recipients due to dysregulated immunologic activation secondary to active inflammation from acute viremia at the time of transplantation. This includes increased rates of cytomegalovirus (CMV) DNAemia and allograft rejection. In this study, we evaluate transcriptional responses in circulating leukocytes to define the character, timing, and resolution of this immune dysregulation and assess for biomarkers of adverse outcomes in transplant patients. We enrolled 67 renal transplant recipients (30 controls, 37 HCV recipients) and performed RNA sequencing on serial samples from one, 3-, and 6-months post-transplant. CMV DNAemia and allograft rejection outcomes were measured. Least absolute shrinkage and selection operator was utilized to develop gene expression classifiers predictive of clinical outcomes. Acute HCV incited a marked transcriptomic response in circulating leukocytes of renal transplant recipients in the acute post-transplant setting, despite the presence of immunosuppression, with 109 genes significantly differentially expressed compared to controls. These HCV infection-associated genes were reflective of antiviral immune pathways and generally resolved by the 3-month timepoint after sustained viral response (SVR) for HCV. Differential gene expression was also noted from patients who developed CMV DNAemia or allograft rejection compared to those who did not, although transcriptomic classifiers could not accurately predict these outcomes, likely due to sample size and variable time-to-event. Acute HCV infection incites evidence of immune activation and canonical antiviral responses in the human host even in the presence of systemic immunosuppression. After treatment of HCV with antiviral therapy and subsequent aviremia, this immune activation resolves. Changes in gene expression patterns in circulating leukocytes are associated with some clinical outcomes, although larger studies are needed to develop accurate predictive classifiers of these events.

Indexed as

Cytomegalovirus InfectionsHepatitis CAntiviral AgentsHepacivirusHumansKidneyTissue DonorsTransplant RecipientsAntiviral Agents

Identifiers

PMID36701416
PMCPMC9879532
OpenAlexW4318142111

What OpenQuestion holds

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LicenceCC BY
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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.