Evidence map›Paper›PMID 36266985›Full record

ArticleEuropean cytokine network2022

Th1 cytokine endotype discriminates and predicts severe complications in COVID-19

Takehiro Hasegawa, Takashi Hato, Toshitsugu Okayama, Kazuho Ikeo, Yoshiaki Miyamoto, Niina Iwanaga, Kohjin Suzuki, Maho Yoshida, Kazuto Yamashita, Saya Yamashita and 7 more

Open access · greenAbstract read
In one paragraph

Article in European cytokine network, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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

17 authors at 5 institutions in 3 countries.

Takehiro HasegawaResearch and Development Division, Sysmex R&D Centre Europe GmbH, Falkenried 88 20251 Hamburg, Germany
Takashi HatoDivision of Nephrology, Indiana University, 107 S Indiana Ave, Bloomington, USA
Toshitsugu OkayamaCenter for Information Biology, National Institute of Genetics, 1111 Yata, Mishima, Sizuoka, Japan
Kazuho IkeoCenter for Information Biology, National Institute of Genetics, 1111 Yata, Mishima, Sizuoka, Japan
Yoshiaki MiyamotoCentral Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Niina IwanagaCentral Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Kohjin SuzukiSystem Technology Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Maho YoshidaScientific Affairs, Sysmex Corporation, Division 1-3-2, Murotani, Nish Ward, Kobe, Japan
Kazuto YamashitaCentral Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Saya YamashitaBusiness Incubation Department, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Eiya TamadaCentral Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Abdullah KhasawnehDepartment of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
Faith Jessica ParanDepartment of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
Rieko OyamaDepartment of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
Toshio NaitoDepartment of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
Kenta NodaReagent Engineering Department, Sysmex Corporation 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Yoko TabeDepartment of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
Sysmex (Japan) · JPJuntendo University · JPNational Institute of Genetics · JPIndiana University Bloomington · USSysmex (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of severe and critical cases of coronavirus disease 2019 (COVID-19) is still a top priority in public health. Previously, we reported distinct Th1 cytokines related to the pathophysiology of severe COVID-19 condition. In the present study, we investigated the association of Th1 and Th2 cytokine/chemokine endotypes with cell-mediated immunity via multiplex immunophenotyping, single-cell RNA-Seq analysis of peripheral blood mononuclear cells, and analysis of the clinical features of COVID-19 patients. Based on serum cytokine and systemic inflammatory markers, COVID-19 cases were classified into four clusters of increasing (I-IV) severity. Two prominent clusters were of interest and could be used as prognostic reference for a targeted treatment of severe COVID-19 cases. Cluster III reflected severe/critical pathology and was characterized by decreased in CCL17 levels and increase in IL-6, C-reactive protein CXCL9, IL-18, and IL-10 levels. The second cluster (Cluster II) showed mild to moderate pathology and was characterized by predominated CXCL9 and IL-18 levels, levels of IL-6 and CRP were relatively low. Cluster II patients received anti-inflammatory treatment in early-stage, which may have led prevent disease prognosis which is accompanied to IL-6 and CRP induction. In Cluster III, a decrease in the proportion of effector T cells with signs of T cell exhaustion was observed. This study highlights the mechanisms of endotype clustering based on specific inflammatory markers in related the clinical outcome of COVID-19.

Indexed as

COVID-19CytokinesBiomarkersChemokinesC-Reactive ProteinHumansInterleukin-10Interleukin-18Interleukin-6Leukocytes, MononuclearBiomarkersChemokinesC-Reactive ProteinCytokinesInterleukin-10Interleukin-18Interleukin-6COVID-19T cell exhaustionTh1 inflammation

Identifiers

PMID36266985
PMCPMC9595088
OpenAlexW4307033880

What Socratic holds

Textmetadata
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.