Evidence map›Paper›PMID 36483456›Full record

ArticleFrontiers in cellular and infection microbiology2022

Respiratory immune status and microbiome in recovered COVID-19 patients revealed by metatranscriptomic analyses.

Huan Meng, Shuang Wang, Xiaomeng Tang, Jingjing Guo, Xinming Xu, Dagang Wang, Fangfang Jin, Mei Zheng, Shangqi Yin, Chaonan He and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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  7. Genomic characterization of aFrontiers in cellular and infection microbiology · 2024
    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

18 authors at 3 institutions in 1 country.

Huan MengDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Shuang WangDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xiaomeng TangBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Jingjing GuoDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xinming XuDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Dagang WangDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Fangfang JinDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Mei ZhengDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Shangqi YinDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Chaonan HeDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Ying HanDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jin ChenDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jinyu HanDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Chaobo RenTranslational R&D Center, Guangzhou Vision Medicals Co. LTD, Guangzhou, China.
Yantao GaoTranslational R&D Center, Guangzhou Vision Medicals Co. LTD, Guangzhou, China.
Huifang LiuTranslational R&D Center, Guangzhou Vision Medicals Co. LTD, Guangzhou, China.
Yajie WangDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Ronghua JinBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Beijing Ditan Hospital · CNCapital Medical University · CNVision Medicals (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is currently a severe threat to global public health, and the immune response to COVID-19 infection has been widely investigated. However, the immune status and microecological changes in the respiratory systems of patients with COVID-19 after recovery have rarely been considered. We selected 72 patients with severe COVID-19 infection, 57 recovered from COVID-19 infection, and 65 with non-COVID-19 pneumonia, for metatranscriptomic sequencing and bioinformatics analysis. Accordingly, the differentially expressed genes between the infected and other groups were enriched in the chemokine signaling pathway, NOD-like receptor signaling pathway, phagosome, TNF signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway, and C-type lectin receptor signaling pathway. We speculate that

Indexed as

COVID-19HumansTumor Necrosis Factor Ligand Superfamily Member 15TNFSF15 protein, humanTumor Necrosis Factor Ligand Superfamily Member 15coronavirus disease 2019immune statusmetatranscriptomemicroecologyrecovery

Identifiers

PMID36483456
PMCPMC9724627
OpenAlexW4309588454

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.