Evidence map›Paper›PMID 36393870›Full record

ArticleFrontiers in cell and developmental biology2022

tRNA abundance, modification and fragmentation in nasopharyngeal swabs as biomarkers for COVID-19 severity.

Christopher D Katanski, Hala Alshammary, Christopher P Watkins, Sihao Huang, Ana Gonzales-Reiche, Emilia Mia Sordillo, Harm van Bakel, Mount Sinai PSP study group, Karen Lolans, Viviana Simon and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. tRNA modifications in viral replication.The Journal of biological chemistry · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Quantification of tRNA mRNA (New York, N.Y.) · 2024
    Article
  6. Article
  7. Article
  8. 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

11 authors at 2 institutions in 1 country.

Christopher D KatanskiDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, United States.
Hala AlshammaryDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Christopher P WatkinsDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, United States.
Sihao HuangDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, United States.
Ana Gonzales-ReicheDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Emilia Mia SordilloDepartment of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Harm van BakelDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Mount Sinai PSP study group
Karen LolansDepartment of Medicine, University of Chicago, Chicago, IL, United States.
Viviana SimonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Tao PanDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, United States.
University of Chicago · USIcahn School of Medicine at Mount Sinai · US

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Transcriptome-wide base-resolution sequencing of pseudouridine in human normal and AD brain tissues-CEGS Admin supplement 2020-2021RM1HG008935 · NHGRI · UNIVERSITY OF CHICAGO · PI HE, CHUAN · 2016 to 2025
$24.4M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Nasal RNA response to respiratory viral infectionsR21AI169280 · NIAID · UNIVERSITY OF CHICAGO · PI PAN, TAO, SIMON, VIVIANA A · 2022 to 2023
$473k
NCATS NIH HHS UL1 TR004419NHGRI NIH HHS RM1 HG008935NIAID NIH HHS R21 AI169280NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

Emerging and re-emerging respiratory viruses can spread rapidly and cause pandemics as demonstrated by the recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. The early human immune responses to respiratory viruses are in the nasal cavity and nasopharyngeal regions. Defining biomarkers of disease trajectory at the time of a positive diagnostic test would be an important tool to facilitate decisions such as initiation of antiviral treatment. We hypothesize that nasopharyngeal tRNA profiles could be used to predict Coronavirus Disease 19 (COVID-19) severity. We carried out multiplex small RNA sequencing (MSR-seq) on residual nasopharyngeal swabs to measure simultaneously full-length tRNA abundance, tRNA modifications, and tRNA fragmentation for the human tRNA response to SARS-CoV-2 infection. We identified distinct tRNA signatures associated with mild symptoms versus severe COVID-19 manifestations requiring hospitalization. These results highlight the utility of host tRNA properties as biomarkers for the clinical outcome of SARS-CoV-2.

Indexed as

biomarkerCOVID-19 severityfragmentationmodificationSARS-CoV-2tRNA

Identifiers

PMID36393870
PMCPMC9664364
OpenAlexW4308008374

What OpenQuestion 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 OpenQuestion graph.