Evidence map›Paper›PMID 35095877›Full record

ArticleFrontiers in immunology2021

Cytokine Elevation in Severe COVID-19 From Longitudinal Proteomics Analysis: Comparison With Sepsis.

Takeshi Ebihara, Hisatake Matsumoto, Tsunehiro Matsubara, Yuki Togami, Shunichiro Nakao, Hiroshi Matsuura, Takashi Kojima, Fuminori Sugihara, Daisuke Okuzaki, Haruhiko Hirata and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Overexpression ofJournal of clinical medicine · 2026
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  10. Macrophages as a Source and Target of GDF-15.International journal of molecular sciences · 2024
    Review
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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

12 authors at 3 institutions in 1 country.

Takeshi EbiharaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Hisatake MatsumotoDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Tsunehiro MatsubaraDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Yuki TogamiDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Shunichiro NakaoDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Hiroshi MatsuuraDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Takashi KojimaLaboratory for Clinical Investigation, Osaka University Hospital, Suita, Japan.
Fuminori SugiharaCore Instrumentation Facility, Immunology Frontier Research Center and Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Daisuke OkuzakiGenome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Haruhiko HirataDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan.
Hitoshi YamamuraOsaka Prefectural Nakakawachi Emergency and Critical Care Center, Higashiosaka, Japan.
Hiroshi OguraDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Osaka University · JPOsaka Mishima Emergency and Critical Care Center · JPOsaka University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Coronavirus disease 2019 (COVID-19) is a new viral disease. Uncontrolled inflammation called "cytokine storm" is reported to contribute to disease pathogenesis as well as sepsis. We aimed to identify cytokines related to the pathogenesis of COVID-19 through a proteomics analysis of 1463 plasma proteins, validate these cytokines, and compare them with sepsis. Materials and Methods: In a derivation cohort of 306 patients with COVID-19, 1463 unique plasma proteins were measured on days 1, 4, and 8. Cytokines associated with disease severity and prognosis were derived. In a validation cohort of 62 COVID-19 patients and 38 sepsis patients treated in the intensive care unit [ICU], these derived cytokines were measured on days 1 (day of ICU admission), 2-3, and 6-8 (maximum: 3 time points/patient). Derived cytokines were compared with healthy controls and between COVID-19 and sepsis patients, and the associations with prognosis were evaluated. The time to wean off mechanical ventilation (MV) was evaluated only for COVID-19. Results: IL-6, amphiregulin, and growth differentiation factor (GDF)-15 were associated with disease severity and prognosis in the derivation cohort. In the validation cohort, IL-6 and GDF-15 were elevated in COVID-19 and sepsis on day 1, and the levels of these cytokines were higher in sepsis than in COVID-19. IL-6 and GDF-15 were associated with prognosis in sepsis. Cox proportional hazards model with time as a dependent covariate showed a significant relationship between plasma GDF-15 level and time to wean off MV (hazard ratio, 0.549 [95% confidence level, 0.382-0.789]). The GDF-15 level at ICU admission predicted late recovery. Conclusion: GDF-15 and IL-6 derived from proteomics analysis were related with disease severity of COVID-19. Their values were higher in sepsis than in COVID-19 and were associated with prognosis in sepsis. In COVID-19 patients treated in the ICU, GDF-15 was associated with the time to wean off MV and better predicted late recovery.

Indexed as

AgedAged, 80 and overCohort StudiesCOVID-19Cytokine Release SyndromeCytokinesFemaleGrowth Differentiation Factor 15HumansInflammationIntensive Care UnitsMaleMiddle AgedPrognosisProteomicsRespiration, ArtificialCytokinesGrowth Differentiation Factor 15biomarkersCOVID-19cytokinesGDF-15IL-6mechanical ventilation

Identifiers

PMID35095877
PMCPMC8790049
OpenAlexW4210656140

What OpenQuestion holds

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LicenceCC BY
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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.