Evidence map›Paper›PMID 37932287›Full record

ArticleScientific reports2023

Immune inhibitory receptor-mediated immune response, metabolic adaptation, and clinical characterization in patients with COVID-19.

Huaying An, Congrui Yan, Jun Ma, Jiayuan Gong, Fenghua Gao, Changwen Ning, Fei Wang, Meng Zhang, Baoyi Li, Yunqi Su and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Huaying AnInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Congrui YanInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Jun MaInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Jiayuan GongInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Fenghua GaoInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Changwen NingInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Fei WangDepartment of Cardiology, Chinese People's Liberation Army Lanzhou General Hospital Anning Branch, Lanzhou, China.
Meng ZhangInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Baoyi LiInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Yunqi SuInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Pengyu LiuInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Hanqi WeiInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China.
Xingwei JiangInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China. 13910216274@163.com.
Qun YuInstitute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China. yuqun1970@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune inhibitory receptors (IRs) play a critical role in the regulation of immune responses to various respiratory viral infections. However, in coronavirus disease 2019 (COVID-19), the roles of these IRs in immune modulation, metabolic reprogramming, and clinical characterization remain to be determined. Through consensus clustering analysis of IR transcription in the peripheral blood of patients with COVID-19, we identified two distinct IR patterns in patients with COVID-19, which were named IR_cluster1 and IR_cluster2. Compared to IR_cluster1 patients, IR_cluster2 patients with lower expressions of immune inhibitory receptors presented with a suppressed immune response, lower nutrient metabolism, and worse clinical manifestations or prognosis. Considering the critical influence of the integrated regulation of multiple IRs on disease severity, we established a scoring system named IRscore, which was based on principal component analysis, to evaluate the combined effect of multiple IRs on the disease status of individual patients with COVID-19. Similar to IR_cluster2 patients, patients with high IRscores had longer hospital-free days at day 45, required ICU admission and mechanical ventilatory support, and presented higher Charlson comorbidity index and SOFA scores. A high IRscore was also linked to acute infection phase and absence of drug intervention. Our investigation comprehensively elucidates the potential role of IR patterns in regulating the immune response, modulating metabolic processes, and shaping clinical manifestations of COVID-19. All of this evidence suggests the essential role of prognostic stratification and biomarker screening based on IR patterns in the clinical management and drug development of future emerging infectious diseases such as COVID-19.

Indexed as

COVID-19HumansImmunityPatientsPrognosisSARS-CoV-2

Identifiers

PMID37932287
PMCPMC10628246

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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.