Evidence map›Paper›PMID 34396083›Full record

ArticleiScience2021

Distinct lipid metabolic dysregulation in asymptomatic COVID-19.

Yanhong Hao, Zheng Zhang, Guifang Feng, Moran Chen, Qiongqiong Wan, Jie Lin, Liang Wu, Wenjing Nie, Suming Chen

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

9 authors at 2 institutions in 1 country.

Yanhong HaoInstitute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China.
Zheng ZhangSchool of Life Sciences, Central China Normal University, Wuhan, Hubei 430072, China.
Guifang FengInstitute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China.
Moran ChenInstitute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China.
Qiongqiong WanInstitute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China.
Jie LinCommunity Health Service Center of Shuiguohu Street, Wuhan, Hubei 430071, China.
Liang WuInstitute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China.
Wenjing NieInstitute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China.
Suming ChenInstitute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China.
Wuhan University · CNCentral China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asymptomatic infection is a big challenge in curbing the spread of COVID-19. However, its identification and pathogenesis elucidation remain issues. Here, by performing comprehensive lipidomic characterization of serum samples from 89 asymptomatic COVID-19 patients and 178 healthy controls, we screened out a panel of 15 key lipids that could accurately identify asymptomatic patients using a new ensemble learning model based on stacking strategy with a voting algorithm. This strategy provided a high accuracy of 96.0% with only 3.6% false positive rate and 4.8% false negative rate. More importantly, the unique lipid metabolic dysregulation was revealed, especially the enhanced synthesis of membrane phospholipids, altered sphingolipids homeostasis, and differential fatty acids metabolic pattern, implicating the specific host immune, inflammatory, and antiviral responses in asymptomatic COVID-19. This study provides a potential prediagnostic method for asymptomatic COVID-19 and molecular clues for the pathogenesis and therapy of this disease.

Indexed as

biological sciencesimmunologylipidomics

Identifiers

PMID34396083
PMCPMC8356725
OpenAlexW3189935077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.