Evidence map›Paper›PMID 34137173›Full record

ArticleJournal of cellular and molecular medicine2021

Single-cell RNA sequencing identify SDCBP in ACE2-positive bronchial epithelial cells negatively correlates with COVID-19 severity.

Ding Ma, Shuwen Liu, Lili Hu, Qinyu He, Weiwei Shi, Dongliang Yan, Yin Cao, Guang Zhang, Zhongxia Wang, Junhua Wu and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Ding MaJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Shuwen LiuJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Lili HuJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Qinyu HeJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Weiwei ShiJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Dongliang YanJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Yin CaoJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Guang ZhangJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Zhongxia WangJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.
Junhua WuJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0003-4753-2648
Chunping JiangJiangsu Key Laboratory of Molecular Medicine, National Institute of Healthcare Data Science at Nanjing University, Medical School of Nanjing University, Nanjing, China.

Funding

Chen Xiao-Ping Foundation for the Development of Science and Technology of Hubei Province CXPJJH12000001-2020318Fundamental Research Funds for the Central Universities 0214380457Key Project supported by Medical Science and Technology Development Foundation, Nanjing Municipality Health Bureau ZKX15020Key Project supported by Medical Science and Technology Development Foundation, Nanjing Municipality Health Bureau ZKX17022National Basic Research Program of China 2013CB834100National Basic Research Program of China 973 ProgramNational Natural Science Foundation of China 81572393National Natural Science Foundation of China 81602093National Natural Science Foundation of China 81972888Natural Science Foundation of Jiangsu Province BK20160118Primary Research & Development Plan of Jiangsu Province BE2018701
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in many deaths throughout the world. It is vital to identify the novel prognostic biomarkers and therapeutic targets to assist with the subsequent diagnosis and treatment plan to mitigate the expansion of COVID-19. Since angiotensin-converting enzyme 2 (ACE2)-positive cells are hosts for COVID-19, we focussed on this cell type to explore the underlying mechanisms of COVID-19. In this study, we identified that ACE2-positive cells from the bronchoalveolar lavage fluid (BALF) of patients with COVID-19 belong to bronchial epithelial cells. Comparing with patients of COVID-19 showing severe symptoms, the antigen processing and presentation pathway was increased and 12 typical genes, HLA-DRB5, HLA-DRB1, CD74, HLA-DRA, HLA-DPA1, HLA-DQA1, HSP90AA1, HSP90AB1, HLA-DPB1, HLA-DQB1, HLA-DQA2, and HLA-DMA, particularly HLA-DPB1, were obviously up-regulated in ACE2-positive bronchial epithelial cells of patients with mild disease. We further discovered SDCBP was positively correlated with above 12 genes particularly with HLA-DPB1 in ACE2-positive bronchial epithelial cells of COVID-19 patients. Moreover, SDCBP may increase the immune infiltration of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils and dendritic cells in different lung carcinoma. Moreover, we found the expression of SDCBP was positively correlated with the expression of antigen processing and presentation genes in post-mortem lung biopsies tissues, which is consistent with previous discoveries. These results suggest that SDCBP has good potential to be further developed as a novel diagnostic and therapeutic target in the treatment of COVID-19.

Indexed as

RNA-SeqSeverity of Illness IndexSingle-Cell AnalysisAngiotensin-Converting Enzyme 2Antigen PresentationBronchiBronchoalveolar Lavage FluidCOVID-19Epithelial CellsGene Expression ProfilingHumansPostmortem ChangesSARS-CoV-2SynteninsUp-RegulationAngiotensin-Converting Enzyme 2SDCBP protein, humanSynteninsACE2antigen processing and presentationCOVID-19HuRI (human reference interactome)SDCBP (Syndecan-Binding Protein)WGCNA (weighted gene co expression network analysis)

Identifiers

PMID34137173
PMCPMC8278084

What OpenQuestion holds

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Registered trials

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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.