Evidence map›Paper›PMID 35176352›Full record

ArticleJournal of virological methods2022

Within-host quantitation of anellovirus genome complexity from clinical samples.

Peng Peng, Yanjuan Xu, Rajeev Aurora, Adrian M Di Bisceglie, Xiaofeng Fan

Abstract read
In one paragraph

Article in Journal of virological methods, 2022. 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. Article
  2. Review
  3. Review
  4. Expansion ofViruses · 2023
    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

5 authors.

Peng PengDivision of Gastroenterology & Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA; Wuhan Pulmonary Hospital, Wuhan, 430030, Hubei, China.
Yanjuan XuDivision of Gastroenterology & Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA.
Rajeev AuroraDepartment of Microbiology & Immunology, Saint University School of Medicine, St. Louis, MO, 63104, USA.
Adrian M Di BisceglieDivision of Gastroenterology & Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA; Saint Louis University Liver Center, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA.
Xiaofeng FanDivision of Gastroenterology & Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA; Saint Louis University Liver Center, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA. Electronic address: xiaofeng.fan@health.slu.edu.

Funding

Viral Categorization and Discovery in Acute Liver Failure with Unknown EtiologyR21AI117128 · NIAID · SAINT LOUIS UNIVERSITY · PI FAN, XIAOFENG · 2017 to 2018
$417k
Enhanced Virome Sequencing in Human BloodR03AI139835 · NIAID · SAINT LOUIS UNIVERSITY · PI FAN, XIAOFENG · 2018 to 2019
$152k
NIAID NIH HHS R03 AI139835NIAID NIH HHS R21 AI117128
6 · The paper itself

Abstract

Anellovirus (AV) is a ubiquitous and diverse virus in the human population. An individual can be infected with multiple AV genera and species that form a heterogeneous repertoire, called the anellome. Due to its exceptional genetic diversity, efficient evaluation of anellome complexity remains a methodological challenge. In the current study, AV genome was first enriched from patient serum samples through two-phase rolling circle amplification. Following Illumina sequencing, anellome was analyzed with an advanced bioinformatics pipeline, including read extraction at three similarity levels, de novo assembly, species assignment, and determination of relative abundance among AV variants. The method was validated in the mock sample and then applied to 21 hepatitis C virus (HCV) patients with and without hepatocellular carcinoma (HCC). Overall, there was a large variance regarding AV richness, ranging from 2 to 51 AV species. In contrast to HCV patients without HCC, HCC incidence was associated with reduced richness (12.6 ± 14.4 vs. 35.4 ± 13.6, p = 0.001) and Shannon entropy (0.4 ± 0.34 vs. 0.61 ± 0.12, p = 0.095) at the AV species level. Interestingly, AV genus beta and gamma expanded in the anellome in 7 of 10 HCC patients. These observations shed light on the potential association between anellome and HCC incidence in patients with chronic HCV infection. The method presented here represents a valuable tool to investigate the role of anellome in human health and disease.

Indexed as

AnelloviridaeCarcinoma, HepatocellularHepatitis CLiver NeoplasmsHepacivirusHumansAnellovirusHepatitis C virusHepatocellular carcinomaNext-generation sequencingRolling circle amplificationVirome

Identifiers

PMID35176352
PMCPMC8900665

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Registered trials

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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.