Evidence map›Paper›PMID 40333142›Full record

ReviewPathogens (Basel, Switzerland)2025

Weathering the Storm: How Age and Biologics Influence the COVID-19 Cytokine Surge.

Corine Astroth, Karishma S Shah, Sudhanshu Agrawal, Anshu Agrawal

Abstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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.

Corine AstrothDivision of Basic and Clinical Immunology, Department of Medicine, University of California Irvine, Irvine, CA 92697, USA.
Karishma S ShahDivision of Basic and Clinical Immunology, Department of Medicine, University of California Irvine, Irvine, CA 92697, USA.
Sudhanshu AgrawalDivision of Basic and Clinical Immunology, Department of Medicine, University of California Irvine, Irvine, CA 92697, USA.
Anshu AgrawalDivision of Basic and Clinical Immunology, Department of Medicine, University of California Irvine, Irvine, CA 92697, USA.ORCID 0000-0002-3323-9152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2, first identified in December 2019, caused a global pandemic, resulting in over 6.8 million deaths by March 2023. The elderly, or individuals over 65, accounted for the majority of COVID-19 deaths, with 81% of fatalities in the US in 2020 occurring in this group. Beyond mortality, aging populations are also at higher risk of long-term cardiovascular complications and acute respiratory distress syndrome (ARDS). Although these outcomes may be influenced by comorbidities common in the elderly, age has been found to be a standalone risk factor for severe COVID-19 infection. Therefore, investigating age-related factors in COVID-19 outcomes is crucial in protecting this vulnerable group. Of particular interest is the cytokine storm phenomenon, an excessive inflammatory response that contributes to severe COVID-19 symptoms, including ARDS and cardiovascular damage. Elevated levels of multiple cytokines are common in severe cases of COVID-19. We propose that changes that occur to cytokine profiles as we age may contribute to these aberrant inflammatory responses. This review specifically explored the interleukin class cytokines IL-1, IL-6, IL-17, and IL-23 and considered the potential of biologics targeting these cytokines to alleviate severe outcomes in both COVID-19 and aging individuals.

Indexed as

AgingBiological ProductsCOVID-19Cytokine Release SyndromeCytokinesSARS-CoV-2AgedAge FactorsHumansRisk FactorsBiological ProductsCytokinesbiologicsCOVID-19cytokine stormelderlytherapeutics

Identifiers

PMID40333142
PMCPMC12030216

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.