Evidence map›Paper›PMID 34394120›Full record

ArticleFrontiers in immunology2021

Transcriptome Analysis of Peripheral Blood Mononuclear Cells Reveals Distinct Immune Response in Asymptomatic and Re-Detectable Positive COVID-19 Patients.

Jiaqi Zhang, Dongzi Lin, Kui Li, Xiangming Ding, Lin Li, Yuntao Liu, Dongdong Liu, Jing Lin, Xiangyun Teng, Yizhe Li and 7 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 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 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 4 institutions in 1 country.

Jiaqi ZhangDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Dongzi LinDepartment of Laboratory Medicine, The Fourth People's Hospital of Foshan, Foshan, China.
Kui LiDepartment of Translational Medicine Research Institute, Guangzhou Huayin Medical Laboratory Center, Ltd, Guangzhou, China.
Xiangming DingDepartment of Bioinformatics, Guangzhou Geneseed Biotech Co., Ltd, Guangzhou, China.
Lin LiDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Yuntao LiuEmergency Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Dongdong LiuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jing LinDepartment of Clinical Laboratory, The First People's Hospital of Foshan, Foshan, China.
Xiangyun TengDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Yizhe LiDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Ming LiuDepartment of Bioinformatics, Guangzhou Geneseed Biotech Co., Ltd, Guangzhou, China.
Jian ShenDepartment of Bioinformatics, Guangzhou Geneseed Biotech Co., Ltd, Guangzhou, China.
Xiaodan WangDepartment of Translational Medicine Research Institute, Guangzhou Huayin Medical Laboratory Center, Ltd, Guangzhou, China.
Dan HeDepartment of Translational Medicine Research Institute, Guangzhou Huayin Medical Laboratory Center, Ltd, Guangzhou, China.
Yaling ShiDepartment of Laboratory Medicine, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Dawei WangDepartment of Pulmonary and Critical Care Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Jianhua XuDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Guangzhou University of Chinese Medicine · CNFirst People's Hospital of Foshan · CNGuangzhou Eighth People's Hospital · CNThe Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existence of asymptomatic and re-detectable positive coronavirus disease 2019 (COVID-19) patients presents the disease control challenges of COVID-19. Most studies on immune responses in COVID-19 have focused on moderately or severely symptomatic patients; however, little is known about the immune response in asymptomatic and re-detectable positive (RP) patients. Here we performed a comprehensive analysis of the transcriptomic profiles of peripheral blood mononuclear cells (PBMCs) from 48 COVID-19 patients which included 8 asymptomatic, 13 symptomatic, 15 recovered and 12 RP patients. The weighted gene co-expression network analysis (WGCNA) identified six co-expression modules, of which the turquoise module was positively correlated with the asymptomatic, symptomatic, and recovered COVID-19 patients. The red module positively correlated with symptomatic patients only and the blue and brown modules positively correlated with the RP patients. The analysis by single sample gene set enrichment analysis (ssGSEA) revealed a lower level of IFN response and complement activation in the asymptomatic patients compared with the symptomatic, indicating a weaker immune response of the PBMCs in the asymptomatic patients. In addition, gene set enrichment analysis (GSEA) analysis showed the enrichment of TNFα/NF-κB and influenza infection in the RP patients compared with the recovered patients, indicating a hyper-inflammatory immune response in the PBMC of RP patients. Thus our findings could extend our understanding of host immune response during the progression of COVID-19 disease and assist clinical management and the immunotherapy development for COVID-19.

Indexed as

Asymptomatic DiseasesAdultCarrier StateComplement ActivationCOVID-19FemaleGene Expression ProfilingHumansInflammationInfluenza, HumanInterferonsLeukocytes, MononuclearMaleMiddle AgedNF-kappa BSARS-CoV-2InterferonsNF-kappa BTNF protein, humanTumor Necrosis Factor-alphaasymptomaticCOVID-19immune responsere-detectable positiveSARS-CoV-2

Identifiers

PMID34394120
PMCPMC8359015
OpenAlexW3188503467

What OpenQuestion 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 OpenQuestion graph.