Evidence mapPaperPMID 37893217Full record

ArticleBiomedicines2023

Serum Cytokines and Growth Factors in Subjects with Type 1 Diabetes: Associations with Time in Ranges and Glucose Variability.

Vadim V Klimontov, Kamilla R Mavlianova, Nikolai B Orlov, Julia F Semenova, Anton I Korbut

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Sex-specific cytokine, chemokine, and growth factor signatures in T1D patients and progressors.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
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

5 authors at 1 institution in 1 country.

Vadim V KlimontovLaboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of IC&G SB RAS), 630060 Novosibirsk, Russia.ORCID 0000-0002-5407-8722
Kamilla R MavlianovaLaboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of IC&G SB RAS), 630060 Novosibirsk, Russia.
Nikolai B OrlovLaboratory of Clinical Immunogenetics, Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of IC&G SB RAS), 630060 Novosibirsk, Russia.
Julia F SemenovaLaboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of IC&G SB RAS), 630060 Novosibirsk, Russia.
Anton I KorbutLaboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology-Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL-Branch of IC&G SB RAS), 630060 Novosibirsk, Russia.ORCID 0000-0003-3502-5892
Russian Academy of Sciences · RU

Funding

Russian Science Foundation 20-15-00057-П
6 · The paper itself

Abstract

The detrimental effect of hyperglycemia and glucose variability (GV) on target organs in diabetes can be implemented through a wide network of regulatory peptides. In this study, we assessed a broad panel of serum cytokines and growth factors in subjects with type 1 diabetes (T1D) and estimated associations between concentrations of these molecules with time in ranges (TIRs) and GV. One hundred and thirty subjects with T1D and twenty-seven individuals with normal glucose tolerance (control) were included. Serum levels of 44 cytokines and growth factors were measured using a multiplex bead array assay. TIRs and GV parameters were derived from continuous glucose monitoring. Subjects with T1D compared to control demonstrated an increase in concentrations of IL-1β, IL-1Ra, IL-2Rα, IL-3, IL-6, IL-7, IL-12 p40, IL-16, IL-17A, LIF, M-CSF, IFN-α2, IFN-γ, MCP-1, MCP-3, and TNF-α. Patients with TIR ≤ 70% had higher levels of IL-1α, IL-1β, IL-6, IL-12 p70, IL-16, LIF, M-CSF, MCP-1, MCP-3, RANTES, TNF-α, TNF-β, and b-NGF, and lower levels of IL-1α, IL-4, IL-10, GM-CSF, and MIF than those with TIR > 70%. Serum IL-1β, IL-10, IL-12 p70, MCP-1, MCP-3, RANTES, SCF, and TNF-α correlated with TIR and time above range. IL-1β, IL-8, IL-10, IL-12 p70, MCP-1, RANTES, MIF, and SDF-1α were related to at least one amplitude-dependent GV metric. In logistic regression models, IL-1β, IL-4, IL-10, IL-12 p70, GM-CSF, HGF, MCP-3, and TNF-α were associated with TIR ≤ 70%, and MIF and PDGF-BB demonstrated associations with coefficient of variation values ≥ 36%. These results provide further insight into the pathophysiological effects of hyperglycemia and GV in people with diabetes.

Indexed as

continuous glucose monitoringcytokinesglucose variabilitygrowth factorshyperglycemiainflammationtime in rangetype 1 diabetes

Identifiers

PMID37893217
PMCPMC10603953
OpenAlexW4387772424

What Socratic holds

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LicenceCC BY
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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.