Evidence map›Paper›PMID 34115881›Full record

ReviewImmunology2021

Diabetes and susceptibility to infections: Implication for COVID-19.

Gustav van Niekerk, Michelle van der Merwe, Anna-Mart Engelbrecht

Open access · bronzeAbstract readReview
In one paragraph

Review in Immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diabetes and COVID-19: The potential role of mTOR.Diabetes research and clinical practice · 2022
    Review
  11. 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

3 authors at 1 institution in 1 country.

Gustav van NiekerkDepartment of Physiological Sciences, Stellenbosch University, Stellenbosch, South Africa.ORCID 0000-0001-5530-6830
Michelle van der MerweDepartment of Physiological Sciences, Stellenbosch University, Stellenbosch, South Africa.
Anna-Mart EngelbrechtDepartment of Physiological Sciences, Stellenbosch University, Stellenbosch, South Africa.
Stellenbosch University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of mechanisms have been proposed to explain the well-established link between diabetic status and an increased susceptibility to infection. Notably, diabetes has been shown to be one of the strongest factors influencing healthcare outcome in COVID-19 infections. Though it has long been noted that lymphocytes upregulate insulin receptors following immune activation, until recently, this observation has received little attention. Here, we point out key findings implicating dysregulated insulin signalling in immune cells as a possible contributing factor in the immune pathology associated with diabetes. Mechanistically, insulin, by activating the PI3K/Akt/mTOR pathway, regulates various aspects of both myeloid cells and lymphocytes, such as cell survival, metabolic reprogramming and the polarization and differentiation of immune cells. PI3K signalling is also supressed by immune checkpoint proteins, suggesting that insulin signalling may antagonize peripheral tolerance. Remarkably, it has also recently been shown that, following insulin binding, the insulin receptor translocates to the nucleus where it plays a key role in regulating the transcription of various immune-related genes, including pathways involved in viral infections. Taken together, these observations suggest that dysregulated insulin signalling may directly contribute to a defective immune response during COVID-19 infections.

Indexed as

AnimalsBiomarkersBlood GlucoseCOVID-19Diabetes Mellitus, Type 1Host-Pathogen InteractionsHumansImmune Checkpoint ProteinsInsulinInsulin ResistanceLymphocytesPhosphatidylinositol 3-KinaseProto-Oncogene Proteins c-aktReceptor, InsulinSARS-CoV-2Signal TransductionBiomarkersBlood GlucoseImmune Checkpoint ProteinsInsulinMTOR protein, humanPhosphatidylinositol 3-KinaseProto-Oncogene Proteins c-aktReceptor, InsulinTOR Serine-Threonine KinasesCOVID-19diabetesimmune checkpoint blockerinflammationinsulininsulin resistance

Identifiers

PMID34115881
PMCPMC8446942
OpenAlexW3171554217

What OpenQuestion holds

Textmetadata
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.