Evidence map›Paper›PMID 37629267›Full record

ArticleJournal of clinical medicine2023

Unraveling Acute and Post-COVID Cytokine Patterns to Anticipate Future Challenges.

Makhabbat Bekbossynova, Ainur Tauekelova, Aliya Sailybayeva, Samat Kozhakhmetov, Karakoz Mussabay, Laura Chulenbayeva, Alibek Kossumov, Zhanagul Khassenbekova, Elizaveta Vinogradova, Almagul Kushugulova

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

10 authors at 2 institutions in 1 country.

Makhabbat BekbossynovaNational Research Cardiac Surgery Center, Astana 020000, Kazakhstan.
Ainur TauekelovaNational Research Cardiac Surgery Center, Astana 020000, Kazakhstan.
Aliya SailybayevaNational Research Cardiac Surgery Center, Astana 020000, Kazakhstan.
Samat KozhakhmetovCenter for Life Sciences, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0001-9668-0327
Karakoz MussabayDepartment of Microbiology and Virology Named after Sh.I.Sarbasova, Astana Medical University, Astana 010000, Kazakhstan.
Laura ChulenbayevaCenter for Life Sciences, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan.
Alibek KossumovCenter for Life Sciences, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan.
Zhanagul KhassenbekovaDepartment of General Pharmacology, Astana Medical University, Astana 010000, Kazakhstan.
Elizaveta VinogradovaCenter for Life Sciences, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan.
Almagul KushugulovaNational Research Cardiac Surgery Center, Astana 020000, Kazakhstan.
Nazarbayev University · KZAstana Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to analyze cytokine profiles in patients with COVID-19, gain insights into the immune response during acute infection, identify cytokines associated with disease severity and post-COVID complications, and explore potential biomarkers for prognosis and therapeutic targets. Using a multiplex analysis, we studied the cytokine pattern in 294 acute COVID-19 and post-COVID patients with varying severities of infection. Our findings revealed that disease severity was associated with elevated levels of IL-15, IL-8, and fractalkine. Severe/extremely severe forms in comparison with mild/moderate disease were associated with MCP-1, IFNa2, IL-7, IL-15, EGF, IP-10, IL-8, Eotaxin, FGF-2, GROa, sCD40L, and IL-10. The key cytokines of post-COVID are FGF-2, VEGF-A, EGF, IL-12(p70), IL-13, and IL-6. By the sixth month after recovering from a coronavirus infection, regardless of disease severity, some patients may develop complications such as arterial hypertension, type 2 diabetes mellitus, glucose intolerance, thyrotoxicosis, atherosclerosis, and rapid progression of previously diagnosed conditions. Each complication is characterized by distinct cytokine profiles. Importantly, these complications can also be predicted during the acute phase of the coronavirus infection. Understanding cytokine patterns can aid in predicting disease progression, identifying high-risk patients, and developing targeted interventions to improve the outcomes of COVID-19.

Indexed as

COVID-19cytokinesPASCpost-COVIDSARS-CoV-2

Identifiers

PMID37629267
PMCPMC10455949
OpenAlexW4385758748

What Socratic 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 Socratic graph.