Evidence map›Paper›PMID 38410515›Full record

ArticleFrontiers in immunology2024

Cognition-associated long noncoding RNAs are dysregulated upon severe COVID-19.

Jonathan D Lee, Isaac H Solomon, Frank J Slack, Maria Mavrikaki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Jonathan D LeeDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Isaac H SolomonDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Frank J Slack *Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Maria Mavrikaki *Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Harvard University · USHarvard Affiliated Emergency Medicine Residency · US

Funding

Non-coding RNAs in resilience to Alzheimer’s DiseaseR01AG082093 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Winston Alexander Hide, Doo Yeon Kim · 2023 to 2026
$3.4M
Molecular mechanisms of aging and accelerated aging in the human brainR01AG079799 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Maria Mavrikaki · 2023 to 2026
$2.7M
NIA NIH HHS R01 AG079799NIA NIH HHS R01 AG082093
6 · The paper itself

Abstract

Severe COVID-19 leads to widespread transcriptomic changes in the human brain, mimicking diminished cognitive performance. As long noncoding RNAs (lncRNAs) play crucial roles in the regulation of gene expression, identification of the lncRNAs differentially expressed upon COVID-19 may nominate key regulatory nodes underpinning cognitive changes. Here we identify hundreds of lncRNAs differentially expressed in the brains of COVID-19 patients relative to uninfected age/sex-matched controls, many of which are associated with decreased cognitive performance and inflammatory cytokine response. Our analyses reveal pervasive transcriptomic changes in lncRNA expression upon severe COVID-19, which may serve as key regulators of neurocognitive changes in the brain.

Indexed as

COVID-19RNA, Long NoncodingCytokinesGene Expression ProfilingHumansRNA, MessengerCytokinesRNA, Long NoncodingRNA, Messengercognitive declineCOVID-19frontal cortexlncRNAsnoncoding RNAs

Identifiers

PMID38410515
PMCPMC10894962
OpenAlexW4391750967

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.