Evidence map›Paper›PMID 39586291›Full record

ArticleJournal of innate immunity2025

Human Blood Non-Classical/Classical Monocyte Cells Are Heterogeneously Presented in Severe COVID-19 and Correlate with Disease Activity.

Danhong Zhou, Yu Shen, Suxian Jing, Dong Qiu, Yang Wang, Qiuxia Qu, Cheng Chen

Abstract read
In one paragraph

Article in Journal of innate immunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Danhong ZhouRespiratory Department, Suzhou, China.
Yu ShenClinical Immunology Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China.
Suxian JingRespiratory Department, Suzhou, China.
Dong QiuRespiratory Department, Suzhou, China.
Yang WangRespiratory Department, Suzhou, China.
Qiuxia QuClinical Immunology Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China.
Cheng ChenRespiratory Department, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 is highly heterogeneous, ranging from cases with mild disease with an almost asymptomatic carrier to severe cases, in which the disease evolves rapidly. A better understanding of monocyte response during SARS-CoV-2 infection would highlight potential biomarkers and establish other possible approaches for severe cases.

methodsThe study group consisted of 32 COVID-19 patients and 18 health controls from June 2023 to March 2024. The COVID-19 patients were further classified as mild and severe illnesses based on World Health Organization (WHO) criteria. For flow cytometric analysis, 50 µL of peripheral blood and 1 µL of specific monoclonal antibodies were added to each cytometric tube for surface marker detection.

resultsHere, the promising finding was that the blood non-classical/classical monocyte (NC/CL) subset was skewed toward NChighCLlow and NClowCLhigh clusters among the severe COVID-19 patients. The NChighCLlow cluster in severe COVID-19 displayed a distinct clinical phenotype, implying a higher 7-day disease progression rate (p = 0.019) and a worse 28-day survival (p = 0.026). Moreover, the secretion of IL-1β and IFN-γ was primarily attributed to CL subset in monocytes, while IL-6 was secreted mainly by NC subset.

conclusionAs supported, regarding cytokine profile in context of SARS-CoV-2 infection, it was identified that circulating NC cells are proinflammatory cells most related to regulatory cells, while CL subset displayed an effective capacity to virus. These findings have implications toward optimizing evaluation in severe COVID-19, and developing strategies that target altered balance of NC/CL cell subsets.

Indexed as

COVID-19MonocytesSARS-CoV-2Severity of Illness IndexAdultAgedBiomarkersCytokinesFemaleFlow CytometryHumansMaleMiddle AgedBiomarkersCytokinesCytokinesMonocytesSARS-CoV-2Severe COVID-19

Identifiers

PMID39586291
PMCPMC11666265

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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.