Evidence map›Paper›PMID 38429664›Full record

ArticleBMC infectious diseases2024

Polymorphisms of IFN signaling genes and FOXP4 influence the severity of COVID-19.

Feng Zhang, Pingping Zhou, Liangliang Wang, Xinzhong Liao, Xuejie Liu, Changwen Ke, Simin Wen, Yuelong Shu

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 1 country.

Feng ZhangSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, 518107, P. R. China.
Pingping ZhouGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, P. R. China.
Liangliang WangSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, 518107, P. R. China.
Xinzhong LiaoSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, 518107, P. R. China.
Xuejie LiuSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, 518107, P. R. China.
Changwen KeGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, P. R. China.
Simin WenGuangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, P. R. China. realmint@163.com.
Yuelong ShuSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, 518107, P. R. China. shuylong@mail.sysu.edu.cn.
Sun Yat-sen University · CNGuangdong Provincial Center for Disease Control and Prevention · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNSouth China University of Technology · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515011767National Natural Science Foundation of China 8204100563Shenzhen Science and Technology Innovation Program JCYJ20200109142438111
6 · The paper itself

Abstract

backgroundThe clinical manifestations of COVID-19 range from asymptomatic, mild to moderate, severe, and critical disease. Host genetic variants were recognized to affect the disease severity. However, the genetic landscape differs among various populations. Therefore, we explored the variants associated with COVID-19 severity in the Guangdong population.

methodsA total of 314 subjects were selected, of which the severe and critical COVID-19 patients were defined as "cases", and the mild and moderate patients were defined as "control". Twenty-two variants in interferon-related genes and FOXP4 were genotyped using the MassARRAY technology platform.

resultsIFN signaling gene MX1 rs17000900 CA + AA genotype was correlated with a reduced risk of severe COVID-19 in males (P = 0.001, OR = 0.050, 95%CI = 0.008-0.316). The AT haplotype comprised of MX1 rs17000900 and rs2071430 was more likely to protect against COVID-19 severity (P = 6.3E-03). FOXP4 rs1886814 CC genotype (P = 0.001, OR = 3.747, 95%CI = 1.746-8.043) and rs2894439 GA + AA genotype (P = 0.001, OR = 5.703, 95% CI = 2.045-15.903) were correlated with increased risk of severe COVID-19. Haplotype CA comprised of rs1886814 and rs2894439 was found to be correlated with adverse outcomes (P = 7.0E-04). FOXP4 rs1886814 CC (P = 0.0004) and rs2894439 GA + AA carriers had higher neutralizing antibody titers (P = 0.0018). The CA + AA genotype of MX1 rs17000900 tended to be correlated with lower neutralizing antibody titers than CC genotype (P = 0.0663), but the difference was not statistically significant.

conclusionOur study found a possible association between MX1 and FOXP4 polymorphisms and the severity of COVID-19. Distinguishing high-risk patients who develop severe COVID-19 will provide clues for early intervention and individual treatment strategies.

Indexed as

COVID-19Forkhead Transcription FactorsPolymorphism, Single NucleotideAntibodies, NeutralizingGenotypeHaplotypesHumansInterferonsMaleMyxovirus Resistance ProteinsAntibodies, NeutralizingForkhead Transcription FactorsFOXP4 protein, humanInterferonsMX1 protein, humanMyxovirus Resistance ProteinsCOVID-19FOXP4MX1Single nucleotide polymorphisms

Identifiers

PMID38429664
PMCPMC10905836
OpenAlexW4392366102

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.