Evidence map›Paper›PMID 36693932›Full record

ArticleScientific reports2023

Hepatitis C and HIV detection by blood RNA-sequencing in cohort of smokers.

Jarrett D Morrow, Peter J Castaldi, Robert P Chase, Jeong H Yun, Gregory L Kinney, Edwin K Silverman, Craig P Hersh

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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.

Jarrett D MorrowChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA. jarrett.morrow@channing.harvard.edu.
Peter J CastaldiChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.
Robert P ChaseChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.
Jeong H YunChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.
Gregory L KinneyDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Edwin K SilvermanChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.
Craig P HershChanning Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTLR01HL124233 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASTALDI, PETER · 2014 to 2024
$7.1M
SYSTEMS GENOMICS OF THE ASTHMA-COPD OVERLAP SYNDROMER01HL130512 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2016 to 2019
$3.5M
INTEGRATIVE GENOMICS OF CLINICAL SUBTYPES IN COPDGENER01HL125583 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2015 to 2018
$3.5M
Prospective Health Outcomes and Inflammatory Biomarkers Associated with e-Cigarette UseR01HL147326 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASTALDI, PETER · 2019 to 2021
$1.5M
Integrative omics pipeline to identify novel COPD genes and pathwaysK25HL136846 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORROW, JARRETT · 2017 to 2021
$945k
The role of COPD genetic risk factor HHIP on lymphocytic inflammationK08HL146972 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI YUN, JEONG H · 2020 to 2024
$848k
NHLBI NIH HHS K08 HL146972NHLBI NIH HHS K25 HL136846NHLBI NIH HHS R01 HL124233NHLBI NIH HHS R01 HL125583NHLBI NIH HHS R01 HL130512NHLBI NIH HHS R01 HL147326NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

Detection of viruses by RNA and DNA sequencing has improved the understanding of the human virome. We sought to identify blood viral signatures through secondary use of RNA-sequencing (RNA-seq) data in a large study cohort. The ability to reveal undiagnosed infections with public health implications among study subjects with available sequencing data could enable epidemiologic surveys and may lead to diagnosis and therapeutic interventions, leveraging existing research data in a clinical context. We detected viral RNA in peripheral blood RNA-seq data from a COPD-enriched population of current and former smokers. Correlation between viral detection and both reported infections and relevant disease outcomes was evaluated. We identified Hepatitis C virus RNA in 228 subjects and HIV RNA in 30 subjects. Overall, we observed 31 viral species, including Epstein-Barr virus and Cytomegalovirus. We observed an enrichment of Hepatitis C and HIV infections among subjects reporting liver disease and HIV infections, respectively. Higher interferon expression scores were observed in the subjects with Hepatitis C and HIV infections. Through secondary use of RNA-seq from a cohort of current and former smokers, we detected peripheral blood viral signatures. We identified HIV and Hepatitis C virus (HCV), highlighting potential public health implications for the approach described this study. We observed correlations with reported infections, chronic infection outcomes and the host transcriptomic response, providing evidence to support the validity of the approach.

Indexed as

Epstein-Barr Virus InfectionsHepatitis CHIV InfectionsHepacivirusHerpesvirus 4, HumanHumansRNARNA, ViralSmokersRNARNA, Viral

Identifiers

PMID36693932
PMCPMC9873751

What Socratic holds

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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 Socratic graph.