Evidence map›Paper›PMID 37390087›Full record

ArticlePloS one2023

Biomarkers of immunothrombosis and polymorphisms of IL2, IL6, and IL10 genes as predictors of the severity of COVID-19 in a Kazakh population.

Assiya Yessenbayeva, Bakytbek Apsalikov, Meruyert Massabayeva, Maksut Kazymov, Aizhan Shakhanova, Zhanna Mussazhanova, Irina Kadyrova, Nurlan Aukenov, Nurlan Shaimardanov

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

1 citing paper in PubMed, 19 citations in OpenAlex.

  1. 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 4 institutions in 2 countries.

Assiya YessenbayevaMedical University Semey, Semey, Republic of Kazakhstan.ORCID 0000-0001-6195-2142
Bakytbek ApsalikovMedical University Semey, Semey, Republic of Kazakhstan.
Meruyert MassabayevaMedical University Semey, Semey, Republic of Kazakhstan.ORCID 0000-0001-8240-361X
Maksut KazymovMedical University Semey, Semey, Republic of Kazakhstan.
Aizhan ShakhanovaMedical University Semey, Semey, Republic of Kazakhstan.
Zhanna MussazhanovaDepartment of Tumor and Diagnostic Pathology, Nagasaki University, Nagasaki, Japan.
Irina KadyrovaShared Resource Laboratory of Karaganda Medical University, Karaganda, Republic of Kazakhstan.
Nurlan AukenovDepartment of Health and Human Resources, Ministry of Health of the Republic of Kazakhstan, Astana, Republic of Kazakhstan.
Nurlan ShaimardanovMedical University Semey, Semey, Republic of Kazakhstan.
Semey Medical University · KZAl-Farabi Kazakh National University · KZKaraganda Medical University · KZMinistry of Justice of the Republic of Kazakhstan · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the role of biological markers of immunothrombosis and polymorphisms of cytokine genes IL2, IL6, IL10 and their influence on the severity of COVID-19 in a Kazakh population.

methodsA total of 301 patients of Kazakh nationality with a confirmed diagnosis of COVID-19 participated in the retrospective study, including 142 patients with severe and 159 with a mild course. Single nucleotide polymorphisms IL2R rs1801274, IL6 rs2069840, and IL10 rs1800872 were genotyped by real-time PCR. Activated partial thromboplastin time, normalized ratio, prothrombin index, prothrombin time, fibrinogen prothrombin time, fibrinogen, D-dimer, and C-reactive protein analysis were also conducted.

resultsThe average age of patients with severe COVID-19 is higher than of patients with mild COVID-19 (p = 0.03). The findings showed that fibrinogen, D-dimer, and C-reactive protein were significantly greater in the group of patients with severe COVID-19 (p = 0.0001). A very strong correlation between the severity of COVID-19 with the D-dimer and C-reactive protein (p = 0.9) (p = 0.02) was found.

conclusionThe results of our study confirm that D-dimer, fibrinogen, and CRP are biomarkers of inflammation and hypercoagulation that serve as predictors of immunothrombosis affecting the severity of COVID-19. D-dimer is also associated with IL10 rs1800872 gene polymorphism in the Kazakh population with severe COVID-19.

Indexed as

COVID-19HemostaticsBiomarkersC-Reactive ProteinFibrinogenHumansInterleukin-10Interleukin-2Interleukin-6Polymorphism, Single NucleotideRetrospective StudiesThromboinflammationBiomarkersC-Reactive ProteinFibrinogenHemostaticsIL10 protein, humanInterleukin-10Interleukin-2Interleukin-6

Identifiers

PMID37390087
PMCPMC10313014
OpenAlexW4382753321

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.