Evidence map›Paper›PMID 35547187›Full record

ArticlePeerJ2022

COVID-19 mortality is associated with pre-existing impaired innate immunity in health conditions.

Matthew Lee, Yung Chang, Navid Ahmadinejad, Crista Johnson-Agbakwu, Celeste Bailey, Li Liu

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. 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
0.3field-weighted citation impact, top 45% 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. Review
  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

6 authors at 2 institutions in 1 country.

Matthew LeeCollege of Health Solutions, Arizona State University, Phoenix, AZ, United States.
Yung ChangSchool of Life Sciences, Arizona State University, Tempe, AZ, United States.
Navid AhmadinejadCollege of Health Solutions, Arizona State University, Phoenix, AZ, United States.
Crista Johnson-AgbakwuValleywise Health Medical Center, Phoenix, AZ, United States.ORCID 0000-0002-1408-6453
Celeste BaileyValleywise Health Medical Center, Phoenix, AZ, United States.
Li LiuCollege of Health Solutions, Arizona State University, Phoenix, AZ, United States.
Arizona State University · USHealthwise · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 can be life-threatening to individuals with chronic diseases. To prevent severe outcomes, it is critical that we comprehend pre-existing molecular abnormalities found in common health conditions that predispose patients to poor prognoses. In this study, we focused on 14 pre-existing health conditions for which increased hazard ratios of COVID-19 mortality have been documented. We hypothesized that dysregulated gene expression in these pre-existing health conditions were risk factors of COVID-19 related death, and the magnitude of dysregulation (measured by fold change) were correlated with the severity of COVID-19 outcome (measured by hazard ratio). To test this hypothesis, we analyzed transcriptomics data sets archived before the pandemic in which no sample had COVID-19. For a given pre-existing health condition, we identified differentially expressed genes by comparing individuals affected by this health condition with those unaffected. Among genes differentially expressed in multiple health conditions, the fold changes of 70 upregulated genes and 181 downregulated genes were correlated with hazard ratios of COVID-19 mortality. These pre-existing dysregulations were molecular risk factors of severe COVID-19 outcomes. These genes were enriched with endoplasmic reticulum and mitochondria function, proinflammatory reaction, interferon production, and programmed cell death that participate in viral replication and innate immune responses to viral infections. Our results suggest that impaired innate immunity in pre-existing health conditions is associated with increased hazard of COVID-19 mortality. The discovered molecular risk factors are potential prognostic biomarkers and targets for therapeutic intervention.

Indexed as

COVID-19Cross-Sectional StudiesHumansImmunity, InnateMultimorbidityRisk FactorsCOVID-19 mortalityGene expressionInnate immunityMolecular risk factor

Identifiers

PMID35547187
PMCPMC9083528
OpenAlexW4229000901

What Socratic 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 Socratic graph.