Evidence map›Paper›PMID 36801619›Full record

SynthesisEBioMedicine2023

Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis.

Kuan Rong Chan, Clara W T Koh, Dorothy H L Ng, Shijie Qin, Justin S G Ooi, Eugenia Z Ong, Summer L X Zhang, Huizhen Sam, Shirin Kalimuddin, Jenny G H Low and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in EBioMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.2field-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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  5. Early Fc-effector antibody signatures impact COVID-19 disease trajectory.medRxiv : the preprint server for health sciences · 2026
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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

11 authors at 4 institutions in 3 countries.

Kuan Rong ChanProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore. Electronic address: kuanrong.chan@duke-nus.edu.sg.
Clara W T KohProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Dorothy H L NgDepartment of Infectious Diseases, Singapore General Hospital, Singapore.
Shijie QinKey Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Justin S G OoiProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Eugenia Z OngKey Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Summer L X ZhangProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Huizhen SamDepartment of Infectious Diseases, Singapore General Hospital, Singapore.
Shirin KalimuddinDepartment of Infectious Diseases, Singapore General Hospital, Singapore.
Jenny G H LowProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore; Department of Infectious Diseases, Singapore General Hospital, Singapore; Viral Research and Experimental Medicine Centre, SingHealth Duke-NUS Academic Medical Centre, Singapore.
Eng Eong OoiDepartment of Infectious Diseases, Singapore General Hospital, Singapore; Viral Research and Experimental Medicine Centre, SingHealth Duke-NUS Academic Medical Centre, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Duke-NUS Medical School · SGSingapore General Hospital · SGCzech Academy of Sciences, Institute of Microbiology · CZSingHealth · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMass vaccination has dramatically reduced the incidence of severe COVID-19, with most cases now presenting as self-limiting upper respiratory tract infections. However, those with co-morbidities, the elderly and immunocompromised, as well as the unvaccinated, remain disproportionately vulnerable to severe COVID-19 and its sequelae. Furthermore, as the effectiveness of vaccination wanes with time, immune escape SARS-CoV-2 variants could emerge to cause severe COVID-19. Reliable prognostic biomarkers for severe disease could be used as early indicator of re-emergence of severe COVID-19 as well as for triaging of patients for antiviral therapy.

methodsWe performed a systematic review and re-analysis of 7 publicly available datasets, analysing a total of 140 severe and 181 mild COVID-19 patients, to determine the most consistent differentially regulated genes in peripheral blood of severe COVID-19 patients. In addition, we included an independent cohort where blood transcriptomics of COVID-19 patients were prospectively and longitudinally monitored previously, to track the time in which these gene expression changes occur before nadir of respiratory function. Single cell RNA-sequencing of peripheral blood mononuclear cells from publicly available datasets was then used to determine the immune cell subsets involved.

findingsThe most consistent differentially regulated genes in peripheral blood of severe COVID-19 patients were MCEMP1, HLA-DRA and ETS1 across the 7 transcriptomics datasets. Moreover, we found significantly heightened MCEMP1 and reduced HLA-DRA expression as early as four days before the nadir of respiratory function, and the differential expression of MCEMP1 and HLA-DRA occurred predominantly in CD14+ cells. The online platform which we developed is publicly available at https://kuanrongchan-covid19-severity-app-t7l38g.streamlitapp.com/, for users to query gene expression differences between severe and mild COVID-19 patients in these datasets.

interpretationElevated MCEMP1 and reduced HLA-DRA gene expression in CD14+ cells during the early phase of disease are prognostic of severe COVID-19.

fundingK.R.C is funded by the National Medical Research Council (NMRC) of Singapore under the Open Fund Individual Research Grant (MOH-000610). E.E.O. is funded by the NMRC Senior Clinician-Scientist Award (MOH-000135-00). J.G.H.L. is funded by the NMRC under the Clinician-Scientist Award (NMRC/CSAINV/013/2016-01). S.K. is funded by the NMRC under the Transition Award. This study was sponsored in part by a generous gift from The Hour Glass.

Indexed as

COVID-19AgedHLA-DR alpha-ChainsHumansLeukocytes, MononuclearPrognosisSARS-CoV-2HLA-DR alpha-ChainsBiomarkersCOVID-19Gene expressionHLA-DRAMCEMP1PathogenesisRNAseqSingle cell sequencingSystematic reviewTranscriptomics

Identifiers

PMID36801619
PMCPMC9934388
OpenAlexW4321016210

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.